Titles Starting with l

* L'Hopital's filter for QSIM
* L- and X-Band Multi-Temporal InSAR Analysis of Tianjin Subsidence
* L-(2) Polynomial Spline Pyramid, The
* L-3 Communications
* L-Band Microwave Emission of Soil Freeze-Thaw Process in the Third Pole Environment
* L-Band Model Function of the Dielectric Constant of Seawater
* L-Band Ocean Surface Roughness
* L-Band Passive and Active Microwave Geophysical Model Functions of Ocean Surface Winds and Applications to Aquarius Retrieval
* L-Band Passive Microwave Data from SMOS for River Gauging Observations in Tropical Climates
* L-Band Polarimetric Target Decomposition of Mangroves of the Rufiji Delta, Tanzania
* L-Band Radar Experiment and Modeling of a Corn Canopy Over a Full Growing Season
* L-Band Radio-Frequency Interference Observations During the SMAP Validation Experiment 2012
* L-Band Relative Permittivity of Organic Soil Surface Layers: A New Dataset of Resonant Cavity Measurements and Model Evaluation
* L-Band RFI Detected by SMOS and Aquarius
* L-Band SAR Backscatter Related to Forest Cover, Height and Aboveground Biomass at Multiple Spatial Scales across Denmark
* L-Band SAR Co-Polarized Phase Difference Modeling for Corn Fields
* L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records
* L-Band Temporal Coherence Assessment and Modeling Using Amplitude and Snow Depth over Interior Alaska
* L-Band UAVSAR Tomographic Imaging in Dense Forests: Gabon Forests
* L-Band Vegetation Optical Depth Estimation Using Transmitted GNSS Signals: Application to GNSS-Reflectometry and Positioning
* L-CNN: Exploiting labeling latency in a CNN learning framework
* L-CoDer: Language-Based Colorization with Color-Object Decoupling Transformer
* L-CoIns: Language-based Colorization With Instance Awareness
* L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning
* l-DBSCAN: A Fast Hybrid Density Based Clustering Method
* L-GEM based robust learning against poisoning attack
* L-inf Norm Based Second Generation Image Coding
* L-inf to Structure and Motion Problems in 1D-Vision, An
* L-Infinite Predictive Coding of Depth
* L-Infinity-coding of images: a confidence interval criterion
* L-infinity Constrained High-Fidelity Image Compression via Adaptive Context Modeling
* L-M-S Filters for Image Restoration Applications
* L-Platooning: A Protocol for Managing a Long Platoon With DSRC
* L-Shape-Based Iterative Prediction and Residual Median Edge Detection (LIP-RMED) Algorithm for VVC Intra-Frame Lossless Compression
* L-Shape Model Switching-Based Precise Motion Tracking of Moving Vehicles Using Laser Scanners
* L-Sign: Large-Vocabulary Sign Gestures Recognition System
* L-Snet: from Region Localization To Scale Invariant Medical Image Segmentation
* L-Tracing: Fast Light Visibility Estimation on Neural Surfaces by Sphere Tracing
* L-Unet: A Landslide Extraction Model Using Multi-Scale Feature Fusion and Attention Mechanism
* L-Verse: Bidirectional Generation Between Image and Text
* L 1 Generalized Procrustes 2D Shape Alignment
* L and VHF Band Airborne SAR. System Features and Comparative Image Analysis
* L infinity total generalized variation for color image recovery
* L(1/2) Regularization for ISAR Imaging and Target Enhancement of Complex Image
* L(2) Kernel Classification
* L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization
* L.U.N.A. Ads: Sustaining Wireless Access for Mobile Users
* L/M-fold image resizing in block-DCT domain using symmetric convolution
* L^1 Control Theoretic Smoothing Splines
* L_0-Norm Sparse Hyperspectral Unmixing Using Arctan Smoothing
* L_0-overlapping group sparse total variation for impulse noise image restoration, An
* L_0-Regularized Image Downscaling
* L_0-Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond
* L_0 Gradient Projection
* L_0 Regularized Mumford-Shah Model for Bias Correction and Segmentation of Medical Images, The
* L_0 Regularized Stationary-Time Estimation for Crowd Analysis
* L_0 Regularized Stationary Time Estimation for Crowd Group Analysis
* L_0 Smoothing Based on Gradient Constraints
* L_0 TV: A Sparse Optimization Method for Impulse Noise Image Restoration
* L_0TV: A new method for image restoration in the presence of impulse noise
* L_1-Norm based reconstruction error evaluation for human action recognition
* L_1-Norm Minimization With Regula Falsi Type Root Finding Methods
* L_1-Norm Quantile Regression Screening Rule via the Dual Circumscribed Sphere
* L_1-Norm Regularization for Short-and-Sparse Blind Deconvolution: Point Source Separability and Region Selection
* L_1-Regularized Reconstruction Model for Edge-Preserving Filtering
* L_1 -Regularization-Based SAR Imaging and CFAR Detection via Complex Approximated Message Passing
* L_1 beta L_q Minimization for Signal and Image Recovery
* L_1 Graph Based Sparse Model for Label De-noising
* L_1 Regularization in Two-Layer Neural Networks
* L_1 Sparsity-Regularized Attention Multiple-Instance Network for Hyperspectral Target Detection
* L_1,L_2)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements
* L_1/2-Regularized Deconvolution Network for the Representation and Restoration of Optical Remote Sensing Images
* L_1/2 Norm and Spatial Continuity Regularized Low-Rank Approximation for Moving Object Detection in Dynamic Background
* L_1/2 regularized low-rank representation for hyperspectral imagery classification, An
* L_1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing
* L_2-Stable Nonstandard Finite Differences for Anisotropic Diffusion
* L_2 Optimized Predictive Image Coding With L_inf Bound
* L_2 Restoration of L_inf -Decoded Images Via Soft-Decision Estimation
* L_2,1-norm-based sparse principle component analysis with trace norm regularised term
* L_2,1-norm minimization based negative label relaxation linear regression for feature selection
* L_2,p-Norm Based PCA for Image Recognition
* L_inf Norm Based Solution for Visual Odometry
* L_n norm optimal histogram matching and application to similarity retrieval
* L_p-L_p-Box ADMM: A Versatile Framework for Integer Programming
* L_p-Norm IDF for Scalable Image Retrieval
* L_p Norm Localized Multiple Kernel Learning via Semi-Definite Programming
* l0-based sparse hyperspectral unmixing using spectral information and a multi-objectives formulation
* L0-L1 Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing
* L0-Norm-Based Sparse Representation Through Alternate Projections
* L0-Norm and Total Variation for Wavelet Inpainting
* L0-norm based structural sparse least square regression for feature selection
* L0-norm constraint normalized logarithmic subband adaptive filter algorithm
* L0-norm sparse representation based on modified genetic algorithm for face recognition
* L0-regularization-based skeleton optimization from consecutive point sets of kinetic human body
* L0-regularized discrete variational level set method for image segmentation, The
* L0-Regularized Object Representation for Visual Tracking
* L0-Sparse Subspace Clustering
* L0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence
* L0 regularized cartoon-texture decomposition model for restoring images corrupted by blur and impulse noise, An
* L0 regularized logistic regression for large-scale data
* L1-2DPCA Revisit via Optimization on Product Manifolds
* L1-based variational model for Retinex theory and its application to medical images, An
* L1-fusion: Robust linear-time image recovery from few severely corrupted copies
* L1-Grassmann manifolds for robust face recognition
* L1-L2 Optimization in Signal and Image Processing
* L1-Norm-Based 2DPCA
* L1-norm-based kernel entropy components
* L1-norm-based principal component analysis with adaptive regularization
* L1-norm and maximum margin criterion based discriminant locality preserving projections via trace Lasso
* L1-Norm Based Linear Discriminant Analysis: An Application to Face Recognition
* L1-norm constrained normalized subband adaptive filter algorithm with variable norm-bound parameter and improved version
* L1-norm discriminant analysis via Bhattacharyya error bounds under Laplace distributions
* L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm
* L1-norm global geometric consistency for partial-duplicate image retrieval
* L1-Regularized Reconstruction Error as Alpha Matte
* L1-Subspace Tracking for Streaming Data
* L1-TV Algorithm for Robust Perspective Photometric Stereo with Spatially-Varying Lightings, A
* L1 Identity Solutions
* L1 matting
* L1 minimization algorithm for non-smooth regularization in image processing, An
* L1 norm based KPCA for novelty detection
* L1 regularized projection pursuit for additive model learning
* L1 rotation averaging using the Weiszfeld algorithm
* L1/2,1 group sparse regularization for compressive sensing
* L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery
* L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
* L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space
* l2-norm-based prior for haze-removal from single image
* L2-Norm metric learning applied to unconstrained face pair-matching
* L2-Normalized Spatial Attention Network for Accurate and Fast Classification of Brain Tumors in 2D T1-Weighted CE-MRI Images, An
* L2-RLS-Based Object Tracking
* L2-SIFT: SIFT feature extraction and matching for large images in large-scale aerial photogrammetry
* L2 approximation for efficient deformable surface 3D tracking
* L2 Divergence for robust colour transfer
* L2 restoration of L_inf-decoded images with context modeling
* l2, 1 Regularized correntropy for robust feature selection
* L2,1-based regression and prediction accumulation across views for robust facial landmark detection
* L2,1-l1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease
* L2,1-norm-based unsupervised optimal feature selection with applications to action recognition, The
* L2AMF-Net: An L2-Normed Attention and Multi-Scale Fusion Network for Lunar Image Patch Matching
* L2D2: Learnable Line Detector and Descriptor
* L2fusion: Low-Light Oriented Infrared and Visible Image Fusion
* L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation
* L2M-GAN: Learning to Manipulate Latent Space Semantics for Facial Attribute Editing
* L2R GAN: Lidar-to-radar Translation
* L2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion
* L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving
* L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training
* L3DOC: Lifelong 3D Object Classification
* L4Net: An anchor-free generic object detector with attention mechanism for autonomous driving
* L5IN: Overview of an Indoor Navigation Pilot Project
* l8-Robustness and Beyond: Unleashing Efficient Adversarial Training
* LA-HDR: Light Adaptive HDR Reconstruction Framework for Single LDR Image Considering Varied Light Conditions
* LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise
* LA-VITON: A Network for Looking-Attractive Virtual Try-On
* LA3: Efficient Label-Aware AutoAugment
* Laas Geel (Somaliland): 5000 Year-Old Paintings Captured in 3D
* Lab Non Destructive Test to Analyze the Effect of Corrosion on Ground Penetrating Radar Scans
* LAB: Learnable Activation Binarizer for Binary Neural Networks
* Laban descriptors for gesture recognition and emotional analysis
* Labanotation Based Ontology for Representing Dance Movement, A
* Labanotation Generation Based on Bidirectional Gated Recurrent Units with Joint and Line Features
* Label-Affinity Self-Adaptive Central Similarity Hashing for Image Retrieval
* Label-Based Automatic Alignment of Video with Narrative Sentences
* Label-based Multiple Object Ensemble Tracking with Randomized Frame Dropping
* Label-Based Trajectory Clustering in Complex Road Networks
* Label-Denoising Auto-encoder for Classification with Inaccurate Supervision Information
* Label-driven Reconstruction for Domain Adaptation in Semantic Segmentation
* Label-efficient Deep Learning-based Semantic Segmentation of Building Point Clouds At Lod3 Level
* Label-efficient Learning on Point Clouds Using Approximate Convex Decompositions
* Label-Efficient Online Continual Object Detection in Streaming Video
* Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
* Label-Embedding for Attribute-Based Classification
* Label-Embedding for Image Classification
* Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events
* Label-Free Liver Tumor Segmentation
* Label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications
* Label-Free Segmentation of COVID-19 Lesions in Lung CT
* Label-Guided Auxiliary Training Improves 3D Object Detector
* Label-Guided Generative Adversarial Network for Realistic Image Synthesis
* Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds
* Label-Noise Learning with Intrinsically Long-Tailed Data
* Label-noise reduction with support vector machines
* label-noise robust active learning sample collection method for multi-temporal urban land-cover classification and change analysis, A
* Label-Noise Robust Generative Adversarial Networks
* Label-Only Model Inversion Attacks via Boundary Repulsion
* Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation
* Label-Related/Unrelated Topic Switching Model: A Partially Labeled Topic Model Handling Infinite Label-Unrelated Topics
* Label-similarity Curriculum Learning
* label-specific multi-label feature selection algorithm based on the Pareto dominance concept, A
* Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification
* Label and orthogonality regularized non-negative matrix factorization for image classification
* Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
* label compression method for online multi-label classification, A
* Label Consistent Fisher Vectors for Supervised Feature Aggregation
* Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition
* Label consistent matrix factorization based hashing for cross-modal retrieval
* Label Consistent Matrix Factorization Hashing for Large-Scale Cross-Modal Similarity Search
* Label Consistent Multiclass Discriminative Dictionary Learning for MRI Segmentation
* Label Consistent Quadratic Surrogate model for visual saliency prediction
* Label consistent recursive least squares dictionary learning for image classification
* Label Correlation Propagation for Semi-supervised Multi-label Learning
* Label Decoupling Framework for Salient Object Detection
* Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces
* Label Denoising with Large Ensembles of Heterogeneous Neural Networks
* Label Detection and Recognition for USPTO Images Using Convolutional K-Means Feature Quantization and Ada-Boost
* Label diagnosis through self tuning for web image search
* Label Distribution-Based Facial Attractiveness Computation by Deep Residual Learning
* Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition
* label distribution manifold learning algorithm, A
* Label Efficient Regularization and Propagation for Graph Node Classification
* Label Efficient Semi-Supervised Learning via Graph Filtering
* Label embedding for text recognition
* Label Embedding: A Frugal Baseline for Text Recognition
* Label Error Process for Discrete Relaxation, A
* Label Field Fusion Bayesian Model and Its Penalized Maximum Rand Estimator for Image Segmentation, A
* Label Fusion for Multi-atlas Segmentation Based on Majority Voting
* Label Fusion in Atlas-Based Segmentation Using a Selective and Iterative Method for Performance Level Estimation (SIMPLE)
* Label fusion method based on sparse patch representation for the brain MRI image segmentation
* Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks
* Label group diffusion for image and image pair segmentation
* Label Guided Discrete Hashing for Cross-Modal Retrieval
* Label Image Constrained Multiatlas Selection
* Label Incorporated Graph Neural Networks for Text Classification
* Label Independent Memory for Semi-Supervised Few-Shot Video Classification
* Label inference encoded with local and global patch priors
* Label Information Bottleneck for Label Enhancement
* Label Information Guided Graph Construction for Semi-Supervised Learning
* Label Inspection using the Hough Transform on Transputer Networks
* Label localization by appearance guided graph inferring
* Label Matching Semi-Supervised Object Detection
* Label Noise Cleansing with Sparse Graph for Hyperspectral Image Classification
* label noise tolerant random forest for the classification of remote sensing data based on outdated maps for training, A
* Label or Message: A Large-Scale Experimental Survey of Texts and Objects Co-Occurrence
* Label Prediction Framework For Semi-Supervised Cross-Modal Retrieval
* Label projection online hashing for balanced similarity
* Label propagation approach for predicting missing biographic labels in face-based biometric records
* Label propagation based saliency detection via graph design
* Label propagation based supervised locality projection analysis for plant leaf classification
* Label Propagation for Deep Semi-Supervised Learning
* Label Propagation for Large Scale 3D Indoor Scenes
* Label Propagation from camera image to point cloud BEV
* Label Propagation from ImageNet to 3D Point Clouds
* Label Propagation Guided by Hierarchy of Partitions for Superpixel Computation
* Label propagation hashing based on p-stable distribution and coordinate descent
* Label propagation in complex video sequences using semi-supervised learning
* Label propagation in video sequences
* Label propagation on data with multiple representations through multi-graph locality preserving projections
* Label Propagation on Facial Images Using Similarity and Dissimilarity Labelling Constraints
* Label propagation through minimax paths for scalable semi-supervised learning
* Label Propagation with Augmented Anchors: A Simple Semi-supervised Learning Baseline for Unsupervised Domain Adaptation
* Label Propagation with Ensemble of Pairwise Geometric Relations: Towards Robust Large-Scale Retrieval of Object Instances
* Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification
* Label Self-Adaption Hashing for Image Retrieval
* Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation
* Label set perturbation for MRF based neuroimaging segmentation
* Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts
* Label Smoothing Auxiliary Classifier Generative Adversarial Network with Triplet Loss for SAR Ship Classification
* Label Space: A Multi-object Shape Representation
* Label Transfer by Measuring Compactness
* Label transfer via sparse representation
* Label transition and selection pruning and automatic decoding parameter optimization for time-synchronous Viterbi decoding
* Label, Verify, Correct: A Simple Few Shot Object Detection Method
* Label2Label: A Language Modeling Framework for Multi-attribute Learning
* Labeled bunch graphs for image analysis
* Labeled dataset for integral evaluation of moving object detection algorithms: LASIESTA
* Labeled faces in the wild: A database for studying face recognition in unconstrained environments
* Labeled from Unlabeled: Exploiting Unlabeled Data for Few-shot Deep HDR Deghosting
* Labeled Graph Kernel for Behavior Analysis
* Labeled Graphs and Dynamic Link Matching for Face Recognition and Scene Analysis
* Labeled Multi-Bernoulli SLAM Filter, The
* Labeled Multiple Canonical Correlation Analysis for Information Fusion, The
* Labeled Point Pattern Matching by Delaunay Triangulation and Maximal Cliques
* Labeled Point Pattern Matching by Fuzzy Relaxation
* labeled random finite set online multi-object tracker for video data, A
* LabelEnc: A New Intermediate Supervision Method for Object Detection
* Labelfaces: Parsing facial features by multiclass labeling with an epitome prior
* Labeling abnormalities in video based complex Human-Object Interactions by robust affordance modelling
* Labeling board based on boundary tracking
* Labeling Color 2D Digital Images in Theoretical Near Logarithmic Time
* Labeling Complete Surfaces in Scene Understanding
* Labeling Connected Components on a Massively Parallel Tree Machine
* Labeling Evaluation in Probabilistic Networks
* Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes
* Labeling Image Patches by Boosting based Median Classifier
* Labeling Images by Integrating Sparse Multiple Distance Learning and Semantic Context Modeling
* Labeling Irregular Graphs with Belief Propagation
* Labeling Model Based on the Region of Movability for Point-Feature Label Placement, A
* Labeling of Clusters Based on Critical Analysis of Texture Measures
* Labeling of Curvilinear Structure Across Scales by Token Grouping
* Labeling of Human Face Components from Range Data
* Labeling of Lumbar Discs Using Both Pixel- and Object-Level Features With a Two-Level Probabilistic Model
* Labeling of MR brain images using Boolean neural network
* Labeling Perspective Projections of Origami Scenes
* Labeling Schemata and Syntactic Descriptions of Pictures
* Labeling Spain With Stanford
* Labeling Still Image Databases Using Graphical Models
* Labeling Update of Segmented Images using Conceptual Graphs and Dempster-Shafer Theory of Evidence
* Labelled Cell Classifier: A Fast Approximation to k Nearest Neighbors, The
* Labelled Non-Zero Diffusion Particle Flow SMC-PHD Filtering for Multi-Speaker Tracking
* Labelling 2-D Geometric Primitives Using Probabilistic Relaxation: Reducing the Computational Requirements
* Labelling and evaluation of 3D objects segmentation using multiclass boosting algorithm
* Labelling color images by modelling the colors density using a linear combination of Gaussians and EM algorithm
* Labelling Line Drawings of Curved Objects
* Labelling logical structures of document images using a dynamic perceptive neural network
* Labelling Of Three Dimensional Human Body Scans: A Topological Approach
* Labelling strategies for hierarchical multi-label classification techniques
* Labelling the Behaviour of Local Descriptors for Selective Video Content Retrieval
* Labelling the Gaps: A Weakly Supervised Automatic Eye Gaze Estimation
* LabelMe video: Building a video database with human annotations
* LabelMe: A Database and Web-Based Tool for Image Annotation
* LabelMe: Online Image Annotation and Applications
* LabelRS: An Automated Toolbox to Make Deep Learning Samples from Remote Sensing Images
* Labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection
* Labels4Free: Unsupervised Segmentation using StyleGAN
* Labelset anchored subspace ensemble (LASE) for multi-label annotation
* LaBGen-P: A pixel-level stationary background generation method based on LaBGen
* LaBGen: A method based on motion detection for generating the background of a scene
* LableMe: The Open Annotation Tool
* Labmat: Learned Feature-Domain Block Matching for Image Restoration
* LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
* Laboratoire d'informatique Gaspard-Monge
* Laboratoire MATIS
* Laboratory and Crowdsourcing Studies of Lip Sync Effect on the Audio-Video Quality Assessment for Videoconferencing Application
* Laboratory and UAV-Based Identification and Classification of Tomato Yellow Leaf Curl, Bacterial Spot, and Target Spot Diseases in Tomato Utilizing Hyperspectral Imaging and Machine Learning
* Laboratory Calibration of an Ultraviolet-Visible Imaging Spectropolarimeter
* Laboratory calibration of backscattered intensity for laser scanning land targets
* Laboratory Environment for Applications Oriented Vision and Manipulation, A
* Laboratory Evaluation of the (355, 532) nm Particle Depolarization Ratio of Pure Pollen at 180.0° Lidar Backscattering Angle
* Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms, A
* Laboratory Flume Experiment with a Coded Structured Light System
* Laboratory Heat Flux Estimates of Seawater Foam for Low Wind Speeds
* Laboratory Intercomparison of Radiometers Used for Satellite Validation in the 400-900nm Range
* Laboratory Investigation on Detecting Bridge Scour Using the Indirect Measurement from a Passing Vehicle
* Laboratory Measurement of the DInSAR Response to Spatiotemporal Variations in Soil Moisture
* Laboratory Measurements of Subsurface Spatial Moisture Content by Ground-Penetrating Radar (GPR) Diffraction and Reflection Imaging of Agricultural Soils
* Laboratory Observations of Preferential Flow Paths in Snow Using Upward-Looking Polarimetric Radar and Hyperspectral Imaging
* laboratory of neuro imaging: What it is, why it is, and how it came to be, The
* Laboratory Research on Polarized Optical Properties of Saline-Alkaline Soil Based on Semi-Empirical Models and Machine Learning Methods
* Laboratory Robotics and Automation
* Laboratory Salinization of Brazilian Alluvial Soils and the Spectral Effects of Gypsum
* Laboratory Self-calibration of a Multi-Band Sensor
* Laboratory Visible and Near-Infrared Spectroscopy with Genetic Algorithm-Based Partial Least Squares Regression for Assessing the Soil Phosphorus Content of Upland and Lowland Rice Fields in Madagascar
* LAC: Latent Action Composition for Skeleton-based Action Segmentation
* LACBoost and FisherBoost: Optimally Building Cascade Classifiers
* LACC2.0: Improving the LACC Algorithm for Reconstructing Satellite-Derived Time Series of Vegetation Biochemical Parameters
* LACCVoV: Linear Adaptive Congestion Control With Optimization of Data Dissemination Model in Vehicle-to-Vehicle Communication
* Lack-of-fit detection using the run-distribution test
* LACO-Wiki: A New Online Land Cover Validation Tool Demonstrated Using GlobeLand30 for Kenya
* Lacunarity Analysis on Image Patterns for Texture Classification
* Lacunarity Based Estimator for the Analysis of Cell Nuclei from the Papanicolaou Smears
* lacunarity of colour fractal images, The
* LADAR-based collision warning sensor to prevent over-height vehicle bridge hits
* LADAR Scene Description Using Fuzzy Morphology and Rules
* LADAR System and Algorithm Design for Spectropolarimetric Scene Characterization
* LADAR Target Detection Using Morphological Shared-Weight Neural Networks
* Ladder-Structured Decision Tree for Recognizing Tumors in Chest Radiographs, A
* Ladder-Style DenseNets for Semantic Segmentation of Large Natural Images
* Ladder Pyramid Networks For Single Image Super-Resolution
* Ladder Siamese Network: A Method and Insights for Multi-Level Self-Supervised Learning
* LADM-Based 3D Underground Utility Mapping: Case Study in Singapore, The
* LADM-Based Model for Natural Resource Administration in China
* LADM And Interlis as a Perfect Match for 3D Cadastre
* LADM Based Utility Network Cadastre in Serbia
* LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
* Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3d Reconstruction with Symmetry
* LAE-Net: A locally-adaptive embedding network for low-light image enhancement
* LAE-Net: Light and Efficient Network for Compressed Video Action Recognition
* LAE: Long-Tailed Age Estimation
* LaeNet: A Novel Lightweight Multitask CNN for Automatically Extracting Lake Area and Shoreline from Remote Sensing Images
* LAEO-Net: Revisiting People Looking at Each Other in Videos
* LAEO-Net++: Revisiting People Looking at Each Other in Videos
* LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation
* LaFea: Learning Latent Representation Beyond Feature for Universal Domain Adaptation
* LAFEAT: Piercing Through Adversarial Defenses with Latent Features
* LAFED: Towards robust ensemble models via Latent Feature Diversification
* LAFIT: Efficient and Reliable Evaluation of Adversarial Defenses With Latent Features
* Laformer: Vision Transformer for Panoramic Image Semantic Segmentation
* LAFTER: a real-time face and lips tracker with facial expression recognition
* LAFTER: Lips and Face Real Time Tracker
* LAG-Net: Multi-Granularity Network for Person Re-Identification via Local Attention System
* Lag-related noise shrinkage stacked LSTM network for short-term traffic flow forecasting
* LAGA-Net: Local-and-Global Attention Network for Skeleton Based Action Recognition
* Lagged Linkage between the Kara-Barents Sea Ice and Early Summer Rainfall in Eastern China in Chinese CMIP6 Models
* Lagrange Motion Analysis and View Embeddings for Improved Gait Recognition
* Lagrange Multiplier Selection for 3-D Wavelet Based Scalable Video Coding
* Lagrange Multiplier Selection in Hybrid Video Coder Control
* Lagrange multiplier selection in wavelet-based scalable video coding for quality scalability
* Lagrange optimization in high efficiency video coding for SATD-based intra-mode decision
* Lagrange wavelets for signal processing
* Lagrangian-Based Methods for Finding MAP Solutions for MRF Models
* Lagrangian Approach to Modeling and Analysis of a Crowd Dynamics, A
* Lagrangian Half-Quadratic approach to robust estimation and its applications to road scene analysis, A
* Lagrangian method based Rate-Distortion Optimization revisited for dependent video coding
* Lagrangian Multiplier Adaptation for Rate-Distortion Optimization With Inter-Frame Dependency
* Lagrangian multipliers and split Bregman methods for minimization problems constrained on S^(n-1)
* Lagrangian Optimization Approach to Complexity-Constrained TSVQ, A
* Lagrangian optimized rate control algorithm for the H.264/AVC encoder, A
* Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis, A
* Lagrangian relaxation graph matching
* Lagrangian Relaxation Heuristic for a Bi-Objective Multimodal Transportation Planning Problem, A
* Lagrangian Relaxation Method for an Online Decentralized Assignment of Electric Vehicles to Charging Stations, A
* LAGRS-Soil: A Full-Polarization GNSS-Reflectometry Model for Bare Soil Applications in FY-3E GNOS-R Payload
* LAI-Based Phenological Changes and Climate Sensitivity Analysis in the Three-River Headwaters Region
* LAI, Leaf Area Index, Land Cover Analysis
* LaIF: A Lane-Level Self-Positioning Scheme for Vehicles in GNSS-Denied Environments
* LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints
* Lake and River Ice Detection
* Lake Area Changes and Their Influence on Factors in Arid and Semi-Arid Regions along the Silk Road
* Lake Chad Total Surface Water Area as Derived from Land Surface Temperature and Radar Remote Sensing Data
* Lake Cyanobacterial Bloom Color Recognition and Spatiotemporal Monitoring with Google Earth Engine and the Forel-Ule Index
* Lake Expansion under the Groundwater Contribution in Qaidam Basin, China
* Lake Ice-Water Classification of RADARSAT-2 Images by Integrating IRGS Segmentation with Pixel-Based Random Forest Labeling
* Lake Ice Thickness Retrieval Method with ICESat-2-Assisted CyroSat-2 Echo Peak Selection
* Lake Icepack and Dry Snowpack Thickness Measurement Using Wideband Autocorrelation Radiometry
* Lake Level Change From Satellite Altimetry Over Seasonally Ice-Covered Lakes in the Mackenzie River Basin
* Lake Level Estimation Based on CryoSat-2 SAR Altimetry and Multi-Looked Waveform Classification
* Lake Phenology of Freeze-Thaw Cycles Using Random Forest: A Case Study of Qinghai Lake
* Lake Surface Water Temperature Derived from 35 Years of AVHRR Sensor Data for European Lakes
* Lake Turbidity Mapping Using an OWTs-bp Based Framework and Sentinel-2 Imagery
* LakeTime: Automated Seasonal Scene Selection for Global Lake Mapping Using Landsat ETM+ and OLI
* LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments
* LaLaLoc++: Global Floor Plan Comprehension for Layout Localisation in Unvisited Environments
* LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition, The
* LAM: Locality affine-invariant feature matching
* LAM: Remote Sensing Image Captioning with Label-Attention Mechanism
* LaMAR: Benchmarking Localization and Mapping for Augmented Reality
* LAMB-DASH: a DASH-HEVC adaptive streaming algorithm in a sharing bandwidth environment for heterogeneous contents and dynamic connections in practice
* lambda-Connectedness Determination for Image Segmentation
* lambda-Domain Optimal Bit Allocation Algorithm for High Efficiency Video Coding
* lambda-Domain Rate Control Algorithm for HEVC Scalable Extension
* Lambda-Domain Rate Control Algorithm for High Efficiency Video Coding
* Lambda-Domain VVC Rate Control Based on Nash Equilibrium
* Lambda-medial axis
* lambda-Net: Reconstruct Hyperspectral Images from a Snapshot Measurement
* lambda-Perceptron: An adaptive classifier for data streams
* Lambda-Tau-Space Representation of Images and Generalized Edge Detector
* Lambda means clustering: Automatic parameter search and distributed computing implementation
* Lambda Twist: An Accurate Fast Robust Perspective Three Point (P3P) Solver
* Lambertian-based adversarial attacks on deep-learning-based underwater side-scan sonar image classification
* Lambertian Reflectance and Linear Subspaces
* Lambertian reflectance correction for rough and shiny surfaces
* Laminae-Based Feature Recognition
* laminar architecture of visual cortex and image processing technology, The
* Laminated Wood and Multimaterial Wood - Adhesive Meshas Replacements Of Solid Wood in Restoration of Historical Buildings
* LAMP-HQ: A Large-Scale Multi-pose High-Quality Database and Benchmark for NIR-VIS Face Recognition
* LAMP: 3D layered, adaptive-resolution, and multi-perspective panorama: A new scene representation
* Lamp: Linear approach for matching points
* LAMV: Learning to Align and Match Videos with Kernelized Temporal Layers
* Lamé Parameter Estimation from Static Displacement Field Measurements in the Framework of Nonlinear Inverse Problems
* LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction
* LAN: Lightweight Attention-based Network for RAW-to-RGB Smartphone Image Processing
* LANA: A Language-Capable Navigator for Instruction Following and Generation
* LANA: Latency Aware Network Acceleration
* Lanczos method for spatio-temporal graph convolutional networks to forecast expressway flow
* Land-Air Interactions over Urban-Rural Transects Using Satellite Observations: Analysis over Delhi, India from 1991-2016
* Land-Atmosphere Interactions and Effects on the Climate of the Tibetan Plateau and Surrounding Regions II
* Land-Atmosphere Interactions and Effects on the Climate of the Tibetan Plateau and Surrounding Regions
* Land-Based Mobile Laser Scanning Systems: A Review
* Land-cover change detection enhanced with generalized linear models
* Land-Cover Change Monitoring with Classification Trees Using Landsat TM and Ancillary Data
* Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993-2017)
* Land-Cover Classification of Coastal Wetlands Using the RF Algorithm for Worldview-2 and Landsat 8 Images
* Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters
* Land-cover Classification Using ASTER Multi-band Combinations Based on Wavelet Fusion and SOM Neural Network
* Land-cover Classification Using Radarsat and Landsat Imagery for St. Louis, Missouri
* Land-cover evolution class analysis in Image Time Series of Landsat and Sentinel-2 based on Latent Dirichlet Allocation
* Land-Cover Mapping by Markov Modeling of Spatial-Contextual Information in Very-High-Resolution Remote Sensing Images
* Land-cover Maps Using Multiple Classifier System for Post-disaster Landscape Monitoring
* Land-Mine Detection With Ground-Penetrating Radar Using Multistream Discrete Hidden Markov Models
* Land-Surface Emissivity Retrieval in MSG-SEVIRI TIR Channels Using MODIS Data
* Land-Surface Quantitative Analysis to Investigate the Spatial Distribution of Gravitational Landforms along Rocky Coasts
* Land-Use and Land-Cover Change Detection Based on Object-Oriented Theory
* Land-Use and Land-Cover Classification Using a Human Group-Based Particle Swarm Optimization Algorithm with an LSTM Classifier on Hybrid Pre-Processing Remote-Sensing Images
* Land-Use and Land-Cover Mapping Using a Gradable Classification Method
* Land-Use Carbon Emissions Estimation for the Yangtze River Delta Urban Agglomeration Using 1994-2016 Landsat Image Data
* Land-Use Change Dynamics Based on the CORINE Data in the Period 1990-2018 in the European Archipelagos of the Macaronesia Region: Azores, Canary Islands, and Madeira, The
* Land-Use Change, Habitat Connectivity, and Conservation Gaps: A Case Study of Shorebird Species in the Yellow River Delta of China Using the InVEST Model and Network Analysis
* Land-Use Classification of Remotely Sensed Data Using Kohonen Self-Organizing Feature Map Neural Networks
* Land-Use Classification Using Taxi GPS Traces
* Land-Use Conflict Identification from the Perspective of Construction Space Expansion: An Evaluation Method Based on Likelihood-Exposure-Consequence
* Land-use Dynamics Analysis Based on Spatial Interactions Models And Satellite Images Time-series
* Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations: A Review
* Land-Use Mapping in a Mixed Urban-Agricultural Arid Landscape Using Object-Based Image Analysis: A Case Study from Maricopa, Arizona
* Land-use Mapping of Valencia City Area from Aerial Images and LiDAR Data
* Land-Use Mapping with Multi-Temporal Sentinel Images Based on Google Earth Engine in Southern Xinjiang Uygur Autonomous Region, China
* Land-Use Optimization Based on Ecological Security Pattern: A Case Study of Baicheng, Northeast China
* Land-use scene classification using multi-scale completed local binary patterns
* Land-use Spatial Optimization Model Based On Particle Swarm Optimization
* Land-Use Suitability Assessment Using Delphi and Analytical Hierarchy Process (D-AHP) Hybrid Model for Coastal City Management: Kuala Terengganu, Peninsular Malaysia
* Land-Use Suitability in Northeast Iran: Application of AHP-GIS Hybrid Model
* Land-Use Type as a Driver of Large Wildfire Occurrence in the U.S. Great Plains
* Land-Use/Land-Cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery
* Land-Use/Land-Cover Change Detection Based on Class-Prior Object-Oriented Conditional Random Field Framework for High Spatial Resolution Remote Sensing Imagery
* Land-Use/Land-Cover Change Detection Using Improved Change-Vector Analysis
* Land-use/Land-cover Classification with Multispectral and Hyperspectral EO-1 Data
* Land Administration Support for Post-disaster Management
* Land classification of wavelet-compressed full-waveform LiDAR data
* Land Classification Using Remotely Sensed Data: Going Multilabel
* Land Consolidation Suitability Ranking of Cadastral Municipalities: Information-Based Decision-Making Using Multi-Criteria Analyses of Official Registers' Data
* Land contained sea area ship detection using spaceborne image
* Land Cover-Land Use Monitoring for Agriculture Features Classification
* Land Cover-Specific Local Incidence Angle Correction: A Method for Time-Series Analysis of Forest Ecosystems
* Land Cover Analysis, Specific Location Applications, Site Analysis, Site Specific
* Land Cover Analysis, Specific Site North America
* Land Cover Analysis, Specific Site, China
* Land Cover Analysis, Water Detection, Water Areas, Water Body
* Land Cover and Crop Classification Based on Red Edge Indices Features of GF-6 WFV Time Series Data
* Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series
* Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification
* Land Cover and Landscape Structural Changes Using Extreme Gradient Boosting Random Forest and Fragmentation Analysis
* Land Cover and Soil Type Mapping From Spaceborne PolSAR Data at L-Band With Probabilistic Neural Network
* Land Cover Background-Adaptive Framework for Large-Scale Road Extraction, A
* Land Cover Change Analysis Using Learning, Neural Nets
* Land Cover Change Analysis, Global Changes, Global Analysis
* Land Cover Change Analysis, Remote Sensing Change Analysis, Temporal Analysis
* Land Cover Change Analysis, Seasonal, Annual Variations, Climate Change, Analysis
* Land Cover Change Analysis, Temporal Analysis, Specific Site, China
* Land Cover Change Detection and Subsistence Farming Dynamics in the Fringes of Mount Elgon National Park, Uganda from 1978-2020
* Land Cover Change Detection Based on Adaptive Contextual Information Using Bi-Temporal Remote Sensing Images
* Land Cover Change Detection from High-Resolution Remote Sensing Imagery Using Multitemporal Deep Feature Collaborative Learning and a Semi-supervised Chan-Vese Model
* Land cover change detection in Satellite Image Time Series using an active learning method
* Land cover change detection thresholds for Landsat data samples
* Land Cover Change Detection Using Multiple Shape Parameters of Spectral and NDVI Curves
* Land Cover Change Detection Using Saliency and Wavelet Transformation
* Land Cover Change Detection With Heterogeneous Remote Sensing Images: Review, Progress, and Perspective
* Land cover change dynamics and multi-factor analysis in high mountains basins of Colombian Andes
* Land Cover Change in the Andes of Southern Ecuador: Patterns and Drivers
* Land Cover Change in the Lower Yenisei River Using Dense Stacking of Landsat Imagery in Google Earth Engine
* Land Cover Change Knowledge Representation Using Temporal Logic And Operation Relations
* Land Cover Change Monitoring Using Landsat MSS/TM Satellite Image Data over West Africa between 1975 and 1990
* Land Cover Changes after the Massive Rohingya Refugee Influx in Bangladesh: Neo-Classic Unsupervised Approach
* Land Cover Changes and Flows in the Polish Baltic Coastal Zone: A Qualitative and Quantitative Approach
* Land Cover Changes and Their Driving Mechanisms in Central Asia from 2001 to 2017 Supported by Google Earth Engine
* Land Cover Changes in Open-Cast Mining Complexes Based on High-Resolution Remote Sensing Data
* Land Cover Changes of the Qilian Mountain National Park in Northwest China Based on Phenological Features and Sample Migration from 1990 to 2020
* Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery: Richards Island, Canada
* Land Cover Characterization and Mapping of South America for the Year 2010 Using Landsat 30 m Satellite Data
* Land Cover Characterization in West Sudanian Savannas Using Seasonal Features from Annual Landsat Time Series
* Land cover classification and economic assessment of citrus groves using remote sensing
* Land Cover Classification and Monitoring in Northeast Thailand Using Landsat 5 TM Data
* Land Cover Classification Based on Fused Data from GF-1 and MODIS NDVI Time Series
* Land cover classification by using multi-temporal COSMO-SkyMed data
* Land Cover Classification for Polarimetric SAR Images Based on Mixture Models
* Land Cover Classification for Polarimetric SAR Images Based on Vision Transformer
* Land Cover Classification From Full-waveform Lidar Data Based On Support Vector Machines
* Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks
* Land Cover Classification from Satellite Imagery with U-Net and Lovász-Softmax Loss
* Land Cover Classification in Complex and Fragmented Agricultural Landscapes of the Ethiopian Highlands
* Land cover classification in fused multisensor multispectral satellite imagery
* Land Cover Classification in Mangrove Ecosystems Based on VHR Satellite Data and Machine Learning: An Upscaling Approach
* Land Cover Classification in SubArctic Regions Using Fully Polarimetric RADARSAT-2 Data
* Land Cover Classification Method for High-Resolution Remote Sensing Images Based on NDVI Deep Learning Fusion Network, A
* Land Cover Classification of Cloud-Contaminated Multitemporal High-Resolution Images
* Land Cover Classification of Complex Agroecosystems in the Non-Protected Highlands of the Galapagos Islands
* Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data
* Land Cover Classification of Landsat Data with Phenological Features Extracted from Time Series MODIS NDVI Data
* Land Cover Classification of Multi-sensor Images by Decision Fusion Using Weights of Evidence Model
* Land Cover Classification of Nine Perennial Crops Using Sentinel-1 and -2 Data
* Land cover classification of polarimetric SAR images for the Yellow River Delta based on support vector machine
* Land Cover Classification of SAR Based on 1DCNN-MRF Model Using Improved Dual-Polarization Radar Vegetation Index
* Land cover classification of VHR airborne images for citrus grove identification
* Land Cover Classification Performance of Multispectral Rtk UAVS
* Land Cover Classification Using A Feature Pyramid Networks Architecture From Satellite Imagery, The
* Land Cover Classification Using Airborne Laser Scanning Data and Photographs
* Land Cover Classification Using Fuzzy Rules and Aggregation of Contextual Information Through Evidence Theory
* Land Cover Classification using Google Earth Engine and Random Forest Classifier: The Role of Image Composition
* Land Cover Classification Using Integrated Spectral, Temporal, and Spatial Features Derived from Remotely Sensed Images
* Land Cover Classification Using Local Softened Affine Hull
* Land Cover Classification with Multi-Sensor Fusion of Partly Missing Data
* Land Cover Classification with Multispectral LiDAR Based on Multi-Scale Spatial and Spectral Feature Selection
* Land Cover Classification with Superpixels and Jaccard Index Post-Optimization
* Land cover dependence in the detection of contaminated pixels in satellite optical data
* Land cover dependent derivation of Digital Surface Models from airborne laser scanning data
* Land Cover Dynamics and Mangrove Degradation in the Niger Delta Region
* Land Cover Dynamics on the Lower Ganges-Brahmaputra Delta: Agriculture-Aquaculture Transitions, 1972-2017
* Land Cover Extraction from High Resolution ZY-3 Satellite Imagery Using Ontology-Based Method
* Land Cover Heterogeneity Effects on Sub-Pixel and Per-Pixel Classifications
* Land Cover Impacts on Surface Temperatures: Evaluation and Application of a Novel Spatiotemporal Weighted Regression Approach
* Land Cover Information Extraction Using Lidar Data
* Land Cover Land Use Classification of Urban Areas: A Remote-Sensing Approach
* Land Cover Mapping Analysis and Urban Growth Modelling Using Remote Sensing Techniques in Greater Cairo Region: Egypt
* Land Cover Mapping and Ecological Risk Assessment in the Context of Recent Ecological Migration
* Land cover mapping at very high resolution with rotation equivariant CNNs: Towards small yet accurate models
* Land Cover Mapping from Remotely Sensed and Auxiliary Data for Harmonized Official Statistics
* Land Cover Mapping in Cloud-Prone Tropical Areas Using Sentinel-2 Data: Integrating Spectral Features with NDVI Temporal Dynamics
* Land Cover Mapping in Northern High Latitude Permafrost Regions with Satellite Data: Achievements and Remaining Challenges
* Land Cover Mapping in Southwestern China Using the HC-MMK Approach
* Land Cover Mapping of a Tropical Region by Integrating Multi-Year Data into an Annual Time Series
* Land cover mapping principles: a return to interpretation fundamentals
* Land Cover Mapping Using Sentinel-1 Sar Data
* Land Cover Mapping Using Sentinel-1 Time-Series Data and Machine-Learning Classifiers in Agricultural Sub-Saharan Landscape
* Land Cover Mapping with Higher Order Graph-Based Co-Occurrence Model
* Land Cover Mapping with Landsat Data: The Tasmania Case Study
* Land Cover Maps Production with High Resolution Satellite Image Time Series and Convolutional Neural Networks: Adaptations and Limits for Operational Systems
* Land Cover Segmentation of Airborne LiDAR Data Using Stochastic Atrous Network
* Land Cover Trends in South Texas (1987-2050): Potential Implications for Wild Felids
* Land Cover, General Problems, Remote Sensing
* Land Cover, Land Use Change Analysis for Radar and SAR
* Land Cover, Land Use, and Climate Change Impacts on Endemic Cichlid Habitats in Northern Tanzania
* Land Cover, Land Use, Super-Resolution Techniques
* Land Cover, Land Use, Very High Resolution, High Spatial Resolution
* Land Degradation and Development Processes and Their Response to Climate Change and Human Activity in China from 1982 to 2015
* Land Degradation Assessment Using Residual Trend Analysis of GIMMS NDVI3g, Soil Moisture and Rainfall in Sub-Saharan West Africa from 1982 to 2012
* Land Degradation Assessment with Earth Observation
* Land Degradation States and Trends in the Northwestern Maghreb Drylands, 1998-2008
* Land Degradation
* Land Form Classification and Similar Land-Shape Discovery by Using Complex-Valued Convolutional Neural Networks
* Land Geophysical Parameters Retrieval Using the Interference Pattern GNSS-R Technique
* Land Info
* Land Movements Estimation in Amathus Archaeological Site in Limassol District with In-SAR DIN-SAR Methodologies
* Land Observational Sensors in Perspective
* Land Product Characterization System for Comparative Analysis of Satellite Data and Products, A
* Land Subsidence and Ground Fissures in Beijing Capital International Airport (BCIA): Evidence from Quasi-PS InSAR Analysis
* Land Subsidence Hazard In Iran Revealed By Country-scale Analysis Of Sentinel-1 INSAR
* Land Subsidence in Chiayi, Taiwan, from Compaction Well, Leveling and ALOS/PALSAR: Aquaculture-Induced Relative Sea Level Rise
* Land Subsidence in Coastal Environments: Knowledge Advance in the Venice Coastland by TerraSAR-X PSI
* Land Subsidence in the Texas Coastal Bend: Locations, Rates, Triggers, and Consequences
* Land Subsidence in Tianjin, China: Before and after the South-to-North Water Diversion
* Land Subsidence in Wuhan Revealed Using a Non-Linear PSInSAR Approach with Long Time Series of COSMO-SkyMed SAR Data
* Land Subsidence Induced by Rapid Urbanization in Arid Environments: A Remote Sensing-Based Investigation
* Land Subsidence Monitoring and Building Risk Assessment Using InSAR and Machine Learning in a Loess Plateau City: A Case Study of Lanzhou, China
* Land Subsidence Monitoring and Dynamic Prediction of Reclaimed Islands with Multi-Temporal InSAR Techniques in Xiamen and Zhangzhou Cities, China
* Land Subsidence Monitoring In Dezhou City Based on Sbas-insar Technology
* Land Subsidence Monitoring Method in Regions of Variable Radar Reflection Characteristics by Integrating PS-InSAR and SBAS-InSAR Techniques
* Land Subsidence Monitoring with Multi-track Sar Data
* Land Subsidence over Oilfields in the Yellow River Delta
* Land Subsidence Phenomena vs. Coastal Flood Hazard: The Cases of Messolonghi and Aitolikon (Greece)
* Land Subsidence Prediction and Analysis along Typical High-Speed Railways in the Beijing-Tianjin-Hebei Plain Area
* Land Subsidence Prediction Induced by Multiple Factors Using Machine Learning Method
* Land Subsidence Response to Different Land Use Types and Water Resource Utilization in Beijing-Tianjin-Hebei, China
* Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data
* Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms
* Land subsidence, Ground Fissures and Buried Faults: InSAR Monitoring of Ciudad Guzmán (Jalisco, Mexico)
* Land Suitability Analysis for Potential Vineyards Extension in Afghanistan at Regional Scale Using Remote Sensing Datasets
* Land Suitability Analysis of the Vhembe District, South Africa, The Case of Maize and Sorghum, A
* Land Suitability for Coffee (Coffea arabica) Growing in Amazonas, Peru: Integrated Use of AHP, GIS and RS
* Land Suitability for Sustainable Aquaculture of Rainbow Trout (Oncorhynchus mykiss) in Molinopampa (Peru) Based on RS, GIS, and AHP
* Land Surface Albedo Derived on a Daily Basis From Meteosat Second Generation Observations
* Land Surface Albedo Derived on a Ten Daily Basis from Meteosat Second Generation Observations: The NRT and Climate Data Record Collections from the EUMETSAT LSA SAF
* Land Surface Albedo Estimation from Chinese HJ Satellite Data Based on the Direct Estimation Approach
* Land surface albedo retrieval via kernel-based BRDF modeling: I. Statistical inversion method and model comparison
* Land surface albedo retrieval via kernel-based BRDF modeling: II. An optimal design scheme for the angular sampling
* Land Surface Albedo
* Land Surface Brightness Temperature Modeling Using Solar Insolation
* Land Surface Emissivity Product for NOAA JPSS and GOES-R Missions: Methodology and Evaluation
* Land Surface Parameterization at Exposed Playa and Desert Region to Support Dust Emissions Estimates in Southern California, United States
* Land Surface Phenologies and Seasonalities in the US Prairie Pothole Region Coupling AMSR Passive Microwave Data with the USDA Cropland Data Layer
* Land Surface Phenology and Seasonality Using Cool Earthlight in Croplands of Eastern Africa and the Linkages to Crop Production
* Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review
* Land surface phenology from Copernicus Global Land time series
* Land Surface Phenology Retrieval through Spectral and Angular Harmonization of Landsat-8, Sentinel-2 and Gaofen-1 Data
* Land surface phenology retrievals for arid and semi-arid ecosystems
* Land Surface Snow Phenology Based on an Improved Downscaling Method in the Southern Gansu Plateau, China
* Land Surface Subsidence Due to Mining-Induced Tremors in the Upper Silesian Coal Basin (Poland): Case Study
* Land Surface Temperature and Emissivity Retrieval from Field-Measured Hyperspectral Thermal Infrared Data Using Wavelet Transform
* Land Surface Temperature and Urban Density: Multiyear Modeling and Relationship Analysis Using MODIS and Landsat Data
* Land Surface Temperature Case Studies, Specific Sites
* Land Surface Temperature Derivation under All Sky Conditions through Integrating AMSR-E/AMSR-2 and MODIS/GOES Observations
* Land Surface Temperature Differences within Local Climate Zones, Based on Two Central European Cities
* Land Surface Temperature Estimate From Chinese Gaofen-5 Satellite Data Using Split-Window Algorithm
* Land Surface Temperature Impact To Land Cover Types, The
* Land Surface Temperature Retrieval for Agricultural Areas Using a Novel UAV Platform Equipped with a Thermal Infrared and Multispectral Sensor
* Land Surface Temperature Retrieval from Fengyun-3D Medium Resolution Spectral Imager II (FY-3D MERSI-II) Data with the Improved Two-Factor Split-Window Algorithm
* Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation
* Land Surface Temperature Retrieval from Landsat 8 TIRS: Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method
* Land Surface Temperature Retrieval from MODIS Data by Integrating Regression Models and the Genetic Algorithm in an Arid Region
* Land Surface Temperature Retrieval from Passive Microwave Satellite Observations: State-of-the-Art and Future Directions
* Land Surface Temperature Retrieval from Sentinel-3A Sea and Land Surface Temperature Radiometer, Using a Split-Window Algorithm
* Land Surface Temperature Retrieval Using Airborne Hyperspectral Scanner Daytime Mid-Infrared Data
* Land Surface Temperature using LandSat
* Land Surface Temperature using MODIS
* Land Surface Temperature Variation Following the 2017 Mw 7.3 Iran Earthquake
* Land Surface Temperature, Remote Sensing
* Land Surface Water Mapping Using Multi-Scale Level Sets and a Visual Saliency Model from SAR Images
* Land Survey From Unmaned Aerial Veichle
* Land Surveying Studies In Building Control System for Smart Cities
* Land Use and Degradation in a Desert Margin: The Northern Negev
* Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process
* Land Use and Land Cover Changes and Prediction Based on Multi-Scenario Simulation: A Case Study of Qishan County, China
* Land Use And Land Cover Changes And Urban Sprawl In Riyadh, Saudi Arabia: An Analysis Using Multi-temporal Landsat Data And Shannon's Entropy Index
* Land use and land cover classification base on image saliency map cooperated coding
* Land Use and Land Cover Classification in the Northern Region of Mozambique Based on Landsat Time Series and Machine Learning
* Land use and land cover classification over a large area in Iran based on single date analysis of satellite imagery
* Land Use and Land Cover Classification Using Hyperspectral Imagery: Evaluating The Performance of Spectral Angle Mapper, Support Vector Machine and Random Forest
* Land Use and Land Cover Influence on Sentinel-2 Aerosol Optical Depth below City Scales over Beijing
* Land Use and Land Cover Mapping - A Case Study of Ahmedabad District
* Land Use and Land Cover Mapping in the Brazilian Amazon Using Polarimetric Airborne P-Band SAR Data
* Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images
* Land Use and Land Cover Mapping Using RapidEye Imagery Based on a Novel Band Attention Deep Learning Method in the Three Gorges Reservoir Area
* Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods
* Land Use and Land Cover Mapping with VHR and Multi-Temporal Sentinel-2 Imagery
* Land Use Change Analysis
* Land Use Change and Hotspot Identification in Harbin-Changchun Urban Agglomeration in China from 1990 to 2020
* Land Use Change Detection Using Deep Siamese Neural Networks and Weakly Supervised Learning
* Land Use Change Ontology and Traffic Prediction through Recurrent Neural Networks: A Case Study in Calgary, Canada
* Land Use Changes and Ecosystem Services: The Case Study of the Abruzzo Region Coastal Strip
* Land Use Changes in the Zoige Plateau Based on the Object-Oriented Method and Their Effects on Landscape Patterns
* Land Use Classification Based On Multi-structure Convolution Neural Network Features Cascading
* Land Use Classification from VHR Aerial Images Using Invariant Colour Components And Texture
* land use classification method based on region and edge information fusion, A
* Land Use Classification Model Based on Conditional Random Fields and Attention Mechanism Convolutional Networks, A
* Land Use Classification of VHR Images for Mapping Small-Sized Abandoned Citrus Plots by Using Spectral and Textural Information
* Land use classification over smallholding areas in the European Common Agricultural Policy framework
* Land Use Classification Using Deep Multitask Networks
* Land Use Classification: A Surface Energy Balance and Vegetation Index Application to Map and Monitor Irrigated Lands
* Land Use Dynamic Changes in an Arid Inland River Basin Based on Multi-Scenario Simulation
* Land Use Hotspots of the Two Largest Landlocked Countries: Kazakhstan and Mongolia
* Land Use Influencing the Spatial Distribution of Urban Crime: A Case Study of Szczecin, Poland
* Land Use Land Cover Classification with U-Net: Advantages of Combining Sentinel-1 and Sentinel-2 Imagery
* Land Use Mapping Techniques (Including the Areas Used by Pedestrians) Based on Low-Level Aerial Imagery, The
* Land use mapping using Sentinel-1 and Sentinel-2 time series in a heterogeneous landscape in Niger, Sahel
* Land Use Quantile Regression Modeling of Fine Particulate Matter in Australia
* Land Use Scenario Simulation and Ecosystem Service Management for Different Regional Development Models of the Beibu Gulf Area, China
* Land Use Simulation of Guangzhou Based on Nighttime Light Data and Planning Policies
* Land Use Transitions and the Associated Impacts on Carbon Storage in the Poyang Lake Basin, China
* Land Use versus Land Cover: Geo-Analysis of National Roads and Synchronisation Algorithms
* Land Use, General Problems
* Land Use/Cover-Related Ecosystem Service Value in Fragile Ecological Environments: A Case Study in Hexi Region, China
* Land Use/land Cover Assessment in a Seismically Active Region In Kundasang, Sabah
* Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series
* Land Use/Land Cover Change Analysis Using Object-Based Classification Approach in Munessa-Shashemene Landscape of the Ethiopian Highlands
* Land Use/Land Cover Change and Their Driving Factors in the Yellow River Basin of Shandong Province Based on Google Earth Engine from 2000 to 2020
* Land Use/land Cover Change Detection Using Multi-temporal Satellite Dataset: A Case Study in Istanbul New Airport
* Land Use/land Cover Change Prediction Using Multi-temporal Satellite Imagery and Multi-layer Perceptron Markov Model
* Land Use/Land Cover Changes and Their Driving Factors in the Northeastern Tibetan Plateau Based on Geographical Detectors and Google Earth Engine: A Case Study in Gannan Prefecture
* Land Use/Land Cover Changes Impact on Groundwater Level and Quality in the Northern Part of the United Arab Emirates
* Land Use/land Cover Changes in Semi-arid Mountain Landscape in Southern India: A Geoinformatics Based Markov Chain Approach
* Land Use/Land Cover Dynamics and Modeling of Urban Land Expansion by the Integration of Cellular Automata and Markov Chain
* Land Use/Land Cover Mapping Based on GEE for the Monitoring of Changes in Ecosystem Types in the Upper Yellow River Basin over the Tibetan Plateau
* Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods: A Case Study from Dak Nong, Vietnam
* Land Use/Land Cover Optimized SAR Coherence Analysis for Rapid Coastal Disaster Monitoring: The Impact of the Emma Storm in Southern Spain
* Land User And Land Cover Maps Of Europe: A Webgis Platform
* Landcover Classification in MRF Context Using Dempster-Shafer Fusion for Multisensor Imagery
* LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery
* Landfill Site Selection Using Multi-Criteria Decision Analysis, Remote Sensing Data, and Geographic Information System Tools in Najran City, Saudi Arabia
* Landfill Sites, Site Selection, Analysis
* Landform Analysis, Landform Description
* Landmark- and Intensity-Based Registration with Large Deformations via Quasi-conformal Maps
* Landmark-aware Self-supervised Eye Semantic Segmentation
* Landmark-Based 3D Face Reconstruction from an Arbitrary Number of Unconstrained Images
* Landmark-based algorithms for group average and pattern recognition
* Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images
* Landmark-Based Approach of Shape Dissimilarity, A
* Landmark-based elastic registration using approximating thin-plate splines
* Landmark-based fisher vector representation for video-based face verification
* Landmark-Based Geodesic Computation for Heuristically Driven Path Planning
* Landmark-Based Image Analysis: Using Geometric and Intensity Models
* Landmark-Based Inductive Model for Robust Discriminative Tracking
* Landmark-based multi-region ensemble convolutional neural networks for bone age assessment
* Landmark-Based Navigation-Model Extension and Refinement
* Landmark-Based Navigation and the Acquisition of Environmental Models
* Landmark-Based Non-rigid Registration Via Graph Cuts
* Landmark-Based Re-topology of Stereo-Pair Acquired Face Meshes
* Landmark-Based Robot Navigation
* Landmark-based shape deformation with topology-preserving constraints
* Landmark-Based Shape Encoding and Sparse-Dictionary Learning in the Continuous Domain
* Landmark-Based Shape Recognition by a Modified Hopfield Neural Network
* Landmark-based sparse color representations for color transfer
* Landmark-Based Stereo Vision
* landmark-free approach for automatic, dense and robust correspondence of 3D faces, A
* Landmark-free posture invariant human shape correspondence
* Landmark-Guided Conditional GANs for Face Aging
* Landmark-Guided Deformation Transfer of Template Facial Expressions for Automatic Generation of Avatar Blendshapes
* Landmark and IMU Data Fusion: Systematic Convergence Geometric Nonlinear Observer for SLAM and Velocity Bias
* Landmark Based Facial Component Reconstruction for Recognition across Pose
* Landmark Based Global Self-localization of Mobile Soccer Robots
* Landmark based head pose estimation benchmark and method
* Landmark based inpainting from multiple views
* Landmark based localization in urban environment
* Landmark classification in large-scale image collections
* Landmark Classification With Hierarchical Multi-Modal Exemplar Feature
* Landmark Free Face Attribute Prediction
* Landmark guidance independent spatio-channel attention and complementary context information based facial expression recognition
* Landmark Identification Based on Projective and Permutation Invariant Vectors
* Landmark Image Retrieval by Jointing Feature Refinement and Multimodal Classifier Learning
* Landmark Image Super-Resolution by Retrieving Web Images
* Landmark Localisation in 3D Face Data
* Landmark localization on 3D/4D range data using a shape index-based statistical shape model with global and local constraints
* Landmark manifold: Revisiting the Riemannian manifold approach for facial emotion recognition
* Landmark Matching via Large Deformation Diffeomorphisms on the Sphere
* Landmark Matching via Large Deformation Diffeomorphisms
* Landmark MDS ensemble
* Landmark Methods for Forms Without Landmarks: Localizing Group Differences in Outline Shapes
* Landmark Paper in Face Recognition, A
* Landmark perturbation-based data augmentation for unconstrained face recognition
* Landmark Real-Time Recognition and Positioning for Pedestrian Navigation
* Landmark recognition in VISITO: VIsual Support to Interactive TOurism in Tuscany
* Landmark recognition using invariant features
* Landmark recognition: A unary approach
* Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search
* Landmark Representation of Shapes and Fisher-Rao Geometry
* Landmark Reranking for Smart Travel Guide Systems by Combining and Analyzing Diverse Media
* Landmark Selection for Accurate Navigation
* Landmark Summarization With Diverse Viewpoints
* Landmark/image-based deformable registration of gene expression data
* LandmarkGAN: Synthesizing faces from landmarks
* Landmarking for Navigational Streaming of Stored High-Dimensional Media
* Landmarks-assisted Collaborative Deep Framework for Automatic 4D Facial Expression Recognition
* Landmarks-based kernelized subspace alignment for unsupervised domain adaptation
* Landmarks-SIFT Face Representation for Gender Classification
* Landmarks as Cultural Heritage Assets Affecting the Distribution of Settlements in Rural Areas: An Analysis Based on LIDAR DTM, Digital Photographs, and Historical Maps
* Landmarks inside the shape: Shape matching using image descriptors
* Landmine Detection Using Autoencoders on Multipolarization GPR Volumetric Data
* Landmines Ground-Penetrating Radar Signal Enhancement by Digital Filtering
* Landmines recognition system using thermovision techniques
* LandQv2: A MapReduce-Based System for Processing Arable Land Quality Big Data
* Landsafe: Landing Site Risk Analysis Software Framework
* Landsat-4/5 Band 6 relative radiometry
* Landsat-7 ETM+, Landsat-8 OLI, and Sentinel-2 MSI Surface Reflectance Cross-Comparison and Harmonization over the Mediterranean Basin Area
* Landsat-8 and Sentinel-2 Based Prediction of Forest Plantation C Stock Using Spatially Varying Coefficient Bayesian Hierarchical Models
* Landsat-8 and Sentinel-2 Canopy Water Content Estimation in Croplands through Radiative Transfer Model Inversion
* Landsat-8 OLI Multispectral Image Dehazing Based on Optimized Atmospheric Scattering Model
* Landsat-8 Operational Land Imager (OLI) Radiometric Performance On-Orbit
* Landsat-8 Operational Land Imager Change Detection Analysis
* Landsat-8 Operational Land Imager Design, Characterization and Performance
* Landsat-8 Operational Land Imager Radiometric Calibration and Stability
* Landsat-8 Sea Ice Classification Using Deep Neural Networks
* Landsat-8 Sensor Characterization and Calibration
* Landsat-8 Thermal Infrared Sensor (TIRS) Vicarious Radiometric Calibration
* Landsat-8 to Sentinel-2 Satellite Imagery Super-Resolution-Based Multiscale Dilated Transformer Generative Adversarial Networks
* Landsat-8, Advanced Spaceborne Thermal Emission and Reflection Radiometer, and WorldView-3 Multispectral Satellite Imagery for Prospecting Copper-Gold Mineralization in the Northeastern Inglefield Mobile Belt (IMB), Northwest Greenland
* Landsat-Based Assessment of Morphological Changes along the Sinai Mediterranean Coast between 1990 and 2020
* Landsat-Based Detection and Severity Analysis of Burned Sugarcane Plots in Tarlac, Philippines Using Differenced Normalized Burn Ratio (dNBR)
* Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000-2015)
* Landsat-Based Estimation of the Glacier Surface Temperature of Hailuogou Glacier, Southeastern Tibetan Plateau, Between 1990 and 2018
* Landsat-Based Indices Reveal Consistent Recovery of Forested Stream Catchments from Acid Deposition
* Landsat-Based Land Cover Change in the Beijing-Tianjin-Tangshan Urban Agglomeration in 1990, 2000 and 2010
* Landsat-Based Land Use Change Assessment in the Brazilian Atlantic Forest: Forest Transition and Sugarcane Expansion
* Landsat-Based Long-Term Monitoring of Total Suspended Matter Concentration Pattern Change in the Wet Season for Dongting Lake, China
* Landsat-Based Monitoring of the Heat Effects of Urbanization Directions and Types in Hangzhou City from 2000 to 2020
* Landsat-Based Trend Analysis of Lake Dynamics across Northern Permafrost Regions
* Landsat-based Woody Vegetation Cover Monitoring In Southern African Savannahs
* Landsat-Derived Annual Maps of Agricultural Greenhouse in Shandong Province, China from 1989 to 2018
* Landsat-Scale Regional Forest Canopy Height Mapping Using ICESat-2 Along-Track Heights: Case Study of Eastern Texas
* Landsat-TM-Based Discrimination of Lithological Units Associated with the Purtuniq Ophiolite, Quebec, Canada
* Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution
* Landsat 4 Thematic Mapper Calibration Update
* Landsat 4, 5 and 7 (1982 to 2017) Analysis Ready Data (ARD) Observation Coverage over the Conterminous United States and Implications for Terrestrial Monitoring
* Landsat 7 mission: Terrestrial research and applications for the 21st century, The
* Landsat 8 and Sentinel-2 Fused Dataset for High Spatial-Temporal Resolution Monitoring of Farmland in China's Diverse Latitudes
* Landsat 8 Data as a Source of High Resolution Sea Surface Temperature Maps in the Baltic Sea
* Landsat 8 Lake Water Clarity Empirical Algorithms: Large-Scale Calibration and Validation Using Government and Citizen Science Data from across Canada
* Landsat 8 Multispectral And Pansharpened Imagery Processing On The Study Of Civil Engineering Issues
* Landsat 8 OLI Broadband Albedo Validation in Antarctica and Greenland
* Landsat 8 Operational Land Imager On-Orbit Geometric Calibration and Performance
* Landsat 8 Thermal Infrared Sensor Geometric Characterization and Calibration
* Landsat 8 Thermal Infrared Sensor Scene Select Mechanism Open Loop Operations
* Landsat 8 Virtual Orange Band for Mapping Cyanobacterial Blooms
* Landsat 9 Cross Calibration Under-Fly of Landsat 8: Planning, and Execution
* Landsat 9 Geometric Characteristics Using Underfly Data
* Landsat 9 Geometric Commissioning Calibration Updates and System Performance Assessment
* Landsat 9 Thermal Infrared Sensor-2 (TIRS-2) Pre- and Post-Launch Spatial Response Performance
* Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping
* LANDSAT and Earth Systems Science: Development of Terrestrial Monitoring
* Landsat and Local Land Surface Temperatures in a Heterogeneous Terrain Compared to MODIS Values
* Landsat and Sentinel-2 Based Burned Area Mapping Tools in Google Earth Engine
* Landsat Application to Nautical Charting
* Landsat assessment of variable spectral recovery linked to post-fire forest structure in dry sub-boreal forests
* Landsat Capability to Mapping of Total Solid Suspended (tss) And Coastal Ecosystem
* Landsat Data Based Prediction of Loblolly Pine Plantation Attributes in Western Gulf Region, USA
* Landsat Digital Image Rectification System, A
* Landsat ETM+ and SRTM Data Provide Near Real-Time Monitoring of Chimpanzee (Pan troglodytes) Habitats in Africa
* Landsat Image-Based Retrieval and Analysis of Spatiotemporal Variation of Total Suspended Solid Concentration in Jiaozhou Bay, China
* Landsat Imagery Spectral Trajectories: Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance
* Landsat Legacy: Remote Sensing Policy and the Development of Commercial Remote Sensing, The
* Landsat Program: Its Origins, Evolution, and Impacts, The
* Landsat Program: Recent History and Prospects, The
* Landsat Satellite Image-Derived Area Evolution and the Driving Factors Affecting Hulun Lake from 1986 to 2020
* Landsat Satellites Observed Dynamics of Snowline Altitude at the End of the Melting Season, Himalayas, 1991-2022
* Landsat stand basal area classification suitable for automating stratification of forest into statistically efficient strata, A
* Landsat Super-Resolution Enhancement Using Convolution Neural Networks and Sentinel-2 for Training
* Landsat Time-Series for Estimating Forest Aboveground Biomass and Its Dynamics across Space and Time: A Review
* Landsat Time Series Assessment of Invasive Annual Grasses Following Energy Development
* Landsat TM Satellite Image Restoration Using Kalman Filters
* Landsat TM/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section
* Landsats 1-5 Multispectral Scanner System Sensors Radiometric Calibration Update
* Landscape-Based Habitat Suitability Model (LHS Model) for Oriental Migratory Locust Area Extraction at Large Scales: A Case Study along the Middle and Lower Reaches of the Yellow River, A
* Landscape-Level Associations of Wintering Waterbird Diversity and Abundance from Remotely Sensed Wetland Characteristics of Poyang Lake
* Landscape-Scale Aboveground Biomass Estimation in Buffer Zone Community Forests of Central Nepal: Coupling In Situ Measurements with Landsat 8 Satellite Data
* Landscape-Scale Crop Lodging Assessment across Iowa and Illinois Using Synthetic Aperture Radar (SAR) Images
* Landscape Analysis Techniques Applied to a Buddhist Carved Rock Sculpture
* Landscape Change Detected over a Half Century in the Arctic National Wildlife Refuge Using High-Resolution Aerial Imagery
* Landscape Characteristic and its Socio-Economic Drivers Based on RS/GIS in Cheng-Yu Economic Zone, China
* Landscape Contest at ICPR 2010, The
* Landscape Design and Neuroscience Cooperation: Contributions to the Non-pharmacological Treatment of Alzheimer's Disease
* Landscape Dynamics in an Iconic Watershed of Northwestern Mexico: Vegetation Condition Insights Using Landsat and PlanetScope Data
* Landscape Ecological Risk and Ecological Security Pattern Construction in World Natural Heritage Sites: A Case Study of Bayinbuluke, Xinjiang, China
* Landscape Ecological Risk Assessment and Impact Factor Analysis of the Qinghai-Tibetan Plateau
* Landscape Effects of Wildfire on Permafrost Distribution in Interior Alaska Derived from Remote Sensing
* Landscape evolution models: A review of their fundamental equations
* Landscape features that prevent or foster urban sprawl
* Landscape Learning for Neural Network Inversion
* Landscape of clustering algorithms
* Landscape Pattern of Sloping Garden Erosion Based on CSLE and Multi-Source Satellite Imagery in Tropical Xishuangbanna, Southwest China
* Landscape Pattern Theoretical Optimization of Urban Green Space Based on Ecosystem Service Supply and Demand
* Landscape Patterns and Building Functions for Urban Land-Use Classification from Remote Sensing Images at the Block Level: A Case Study of Wuchang District, Wuhan, China
* Landscape Patterns and Topographic Features Affect Seasonal River Water Quality at Catchment and Buffer Scales
* Landscape Representation by a Permanent Forest Plot and Alternative Plot Designs in a Typhoon Hotspot, Fushan, Taiwan
* Landscape Sensitivity Assessment of Historic Districts Using a GIS-Based Method: A Case Study of Beishan Street in Hangzhou, China
* Landscape Similarity Analysis Using Texture Encoded Deep-Learning Features on Unclassified Remote Sensing Imagery
* Landscape Structure and Seasonality: Effects on Wildlife Species Richness and Occupancy in a Fragmented Dry Forest in Coastal Ecuador
* Landscape Structure of Woody Cover Patches for Endangered Ocelots in Southern Texas
* Landscape Sustainability Evaluation of Ecologically Fragile Areas Based on Boltzmann Entropy
* Landscape Urbanization and Farmland Reduction From 2010 to 2017 In South China
* Landscape Visual Impact Evaluation for Onshore Wind Farm: A Case Study
* Landscape Visual Sensitivity Assessment of Historic Districts: A Case Study of Wudadao Historic District in Tianjin, China
* Landscape Visualisation on the Internet
* Landscapear: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors
* Landscapes Impacted By Light
* Landscaping Future Interaction: Special issue on Mobile and Ubiquitous Multimedia
* Landslide-Induced Damage Probability Estimation Coupling InSAR and Field Survey Data by Fragility Curves
* Landslide-Induced Mass Transport of Radionuclides along Transboundary Mailuu-Suu River Networks in Central Asia
* Landslide Activity Maps Generation by Means of Persistent Scatterer Interferometry
* Landslide Activity Monitoring with the Help of Unmanned Aerial Vehicle
* Landslide Analysis, Earthquake Related, Seismic Analysis
* Landslide Analysis, LiDAR, Laser Scanner
* Landslide Analysis, SAR, InSAR, IFSAR, Radar
* Landslide Awareness System (LAwS) to Increase the Resilience and Safety of Transport Infrastructure: The Case Study of Pan-American Highway (Cuenca-Ecuador)
* Landslide Characteristics and Evolution: What We Can Learn from Three Adjacent Landslides
* Landslide Characterization Applying Sentinel-1 Images and InSAR Technique: The Muyubao Landslide in the Three Gorges Reservoir Area, China
* Landslide Deformation Analysis by Coupling Deformation Time Series from SAR Data with Hydrological Factors through Data Assimilation
* Landslide Deformation Extraction from Terrestrial Laser Scanning Data with Weighted Least Squares Regularization Iteration Solution
* Landslide Deformation Monitoring by Adaptive Distributed Scatterer Interferometric Synthetic Aperture Radar
* Landslide Deformation Monitoring By Three-camera Imaging System
* Landslide deformation monitoring using point-like target offset tracking with multi-mode high-resolution TerraSAR-X data
* Landslide Deformation Prediction Based on a GNSS Time Series Analysis and Recurrent Neural Network Model
* Landslide Detection and Mapping Based on SBAS-InSAR and PS-InSAR: A Case Study in Gongjue County, Tibet, China
* Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia
* Landslide Detection Based on ResU-Net with Transformer and CBAM Embedded: Two Examples with Geologically Different Environments
* Landslide Detection from Open Satellite Imagery Using Distant Domain Transfer Learning
* Landslide Detection In Central America Using the Differential Bare Soil Index
* Landslide Detection in the Linzhi-Ya'an Section along the Sichuan-Tibet Railway Based on InSAR and Hot Spot Analysis Methods
* Landslide detection on earthen levees with X-band and L-band radar data
* Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas
* Landslide Detection Using Time-Series InSAR Method along the Kangding-Batang Section of Shanghai-Nyalam Road
* Landslide Detection with Himawari-8 Geostationary Satellite Data: A Case Study of a Torrential Rain Event in Kyushu, Japan
* Landslide Detection, Analysis, Damage Assessment, Deformations
* Landslide Displacement Monitoring by a Fully Polarimetric SAR Offset Tracking Method
* Landslide Displacement Monitoring Using 3D Range Flow on Airborne and Terrestrial LiDAR Data
* Landslide Displacement Monitoring with Split-Bandwidth Interferometry: A Case Study of the Shuping Landslide in the Three Gorges Area
* Landslide Displacement Prediction Based on a Two-Stage Combined Deep Learning Model under Small Sample Condition
* Landslide Displacement Prediction via Attentive Graph Neural Network
* Landslide Dynamic Susceptibility Mapping Base on Machine Learning and the PS-InSAR Coupling Model
* Landslide Extraction from High-Resolution Remote Sensing Imagery Using Fully Convolutional Spectral-Topographic Fusion Network
* Landslide Extraction Using Mask R-CNN with Background-Enhancement Method
* Landslide Fissure Inference Assessment by ANFIS and Logistic Regression Using UAS-Based Photogrammetry
* Landslide Hazard Assessment Combined with InSAR Deformation: A Case Study in the Zagunao River Basin, Sichuan Province, Southwestern China
* Landslide Hazard Assessment in Highway Areas of Guangxi Using Remote Sensing Data and a Pre-Trained XGBoost Model
* Landslide Hazard Assessment Map as an Element Supporting Spatial Planning: The Flysch Carpathians Region Study
* Landslide Hazard Assessment Method Considering the Deformation Factor: A Case Study of Zhouqu, Gansu Province, Northwest China
* Landslide Hazard Mapping Using a Radial Basis Function Neural Network Model: a Case Study in Semirom, Isfahan, Iran
* Landslide Identification and Gradation Method Based on Statistical Analysis and Spatial Cluster Analysis
* Landslide Identification and Monitoring along the Jinsha River Catchment (Wudongde Reservoir Area), China, Using the InSAR Method
* Landslide Identification from IRS-P6 LISS-IV Temporal DATA: A Comparative Study Using Fuzzy Based Classifiers
* Landslide Identification in Human-Modified Alpine and Canyon Area of the Niulan River Basin Based on SBAS-InSAR and Optical Images
* Landslide Identification Method Based on the FKGRNet Model for Remote Sensing Images
* Landslide Image Captioning Method Based on Semantic Gate and Bi-Temporal LSTM
* Landslide Inventory in the Downstream of the Niulanjiang River with ALOS PALSAR and Sentinel-1 Datasets
* Landslide Investigation Using Differential Synthetic Aperture Radar Interferometry: a Case Study of Balloran Dam Area in Syria
* Landslide Investigation with Remote Sensing and Sensor Network: From Susceptibility Mapping and Scaled-down Simulation towards in situ Sensor Network Design
* Landslide Mapping and Causes of Landslides in the China-Nepal Transportation Corridor Based on Remote Sensing Technology
* Landslide Mapping and Characterization through Infrared Thermography (IRT): Suggestions for a Methodological Approach from Some Case Studies
* Landslide Mapping and Monitoring Using Persistent Scatterer Interferometry (PSI) Technique in the French Alps
* Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data
* Landslide Monitoring And Assessment For Highway Retainingwall: The Case Study of Taskent(Turkey) Landslide
* Landslide Monitoring Using INSAR Time-series and GPS Observations, Case Study: Shabkola Landslide In Northern Iran
* Landslide Monitoring Using Multi-Temporal SAR Interferometry with Advanced Persistent Scatterers Identification Methods and Super High-Spatial Resolution TerraSAR-X Images
* Landslide Monitoring Using Terrestrial Laser Scanner: Georeferencing And Canopy Filtering Issues In A Case Study
* Landslide Numerical Factor Derived from CHIRPS for Shallow Rainfall Triggered Landslides in Colombia, A
* Landslide Prediction Method Based on a Ground-Based Micro-Deformation Monitoring Radar
* Landslide Recognition by Deep Convolutional Neural Network and Change Detection
* Landslide Recognition from Multi-Feature Remote Sensing Data Based on Improved Transformers
* Landslide Risk Assessment in Eastern Kentucky, USA: Developing a Regional Scale, Limited Resource Approach
* Landslide Risk Assessment Using a Combined Approach Based on InSAR and Random Forest
* Landslide Risk Management in the Urban Development of Sandnes (Norway)
* Landslide Segmentation with Deep Learning: Evaluating Model Generalization in Rainfall-Induced Landslides in Brazil
* Landslide Study Using Terrestrial Laser Scanner (LIDAR) Analysis
* Landslide Susceptibility Analysis on the Vicinity of Bogota-Villavicencio Road (Eastern Cordillera of the Colombian Andes)
* Landslide Susceptibility Assessment at Mila Basin (Algeria): A Comparative Assessment of Prediction Capability of Advanced Machine Learning Methods
* Landslide Susceptibility Assessment Based on Different Machine Learning Methods in Zhaoping County of Eastern Guangxi
* Landslide Susceptibility Assessment Considering Spatial Agglomeration and Dispersion Characteristics: A Case Study of Bijie City in Guizhou Province, China
* Landslide Susceptibility Assessment in the Japanese Archipelago Based on a Landslide Distribution Map
* Landslide Susceptibility Assessment Method Based on GIS Technology and an AHP-Weighted Information Content Method: A Case Study of Southern Anhui, China, A
* Landslide Susceptibility Assessment Model Construction Using Typical Machine Learning for the Three Gorges Reservoir Area in China
* Landslide Susceptibility Assessment Through Fuzzy Logic Inference System (FLIS)
* Landslide Susceptibility Assessment Using an Optimized Group Method of Data Handling Model
* Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran
* Landslide Susceptibility Mapping along a Rapidly Uplifting River Valley of the Upper Jinsha River, Southeastern Tibetan Plateau, China
* Landslide Susceptibility Mapping and Assessment Using Geospatial Platforms and Weights of Evidence (WoE) Method in the Indian Himalayan Region: Recent Developments, Gaps, and Future Directions
* Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea
* Landslide Susceptibility Mapping and Driving Mechanisms in a Vulnerable Region Based on Multiple Machine Learning Models
* Landslide Susceptibility Mapping and Interpretation in the Upper Minjiang River Basin
* Landslide Susceptibility Mapping Based on the Germinal Center Optimization Algorithm and Support Vector Classification
* Landslide Susceptibility Mapping Based on Weighted Gradient Boosting Decision Tree in Wanzhou Section of the Three Gorges Reservoir Area (China)
* Landslide Susceptibility Mapping by Comparing GIS-Based Bivariate Methods: A Focus on the Geomorphological Implication of the Statistical Results
* Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms
* Landslide Susceptibility Mapping of Landslides with Artificial Neural Networks: Multi-Approach Analysis of Backpropagation Algorithm Applying the Neuralnet Package in Cuenca, Ecuador
* Landslide Susceptibility Mapping Using Logistic Regression Analysis along the Jinsha River and Its Tributaries Close to Derong and Deqin County, Southwestern China
* Landslide Susceptibility Mapping Using Machine Learning: A Danish Case Study
* Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey
* Landslide Susceptibility Mapping Using Rotation Forest Ensemble Technique with Different Decision Trees in the Three Gorges Reservoir Area, China
* Landslide Susceptibility Mapping with Random Forest Model for Ordu, Turkey
* Landslide Susceptibility Mapping: Analysis of Different Feature Selection Techniques with Artificial Neural Network Tuned by Bayesian and Metaheuristic Algorithms
* Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data
* Landslide Susceptibility Modeling Using Remote Sensing Data and Random SubSpace-Based Functional Tree Classifier
* Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation
* Landslide Susceptibility Prediction Based on High-Trust Non-Landslide Point Selection
* Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
* Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies
* Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine-Learning Models
* Landslide Susceptibility Zoning in Yunnan Province Based on SBAS-InSAR Technology and a Random Forest Model
* Landslide Susceptibility, Landslide Risk Analysis, Hazards
* Landslide Trail Extraction Using Fire Extinguishing Model
* Landslides Detection and Mapping with an Advanced Multi-Temporal Satellite Optical Technique
* Landslides detection through optimized hot spot analysis on persistent scatterers and distributed scatterers
* Landslides Extraction From Diverse Remote Sensing Data Sources Using Semantic Reasoning Scheme
* Landslides Identification Using Airborne Laser Scanning Data Derived Topographic Terrain Attributes And Support Vector Machine Classification
* Landslides Information Extraction Using Object-Oriented Image Analysis Paradigm Based on Deep Learning and Transfer Learning
* Landslides Triggered by the 2016 Heavy Rainfall Event in Sanming, Fujian Province: Distribution Pattern Analysis and Spatio-Temporal Susceptibility Assessment
* Landweber Algorithm for 3D Confocal Microscopy Restoration, A
* LandXML Encoding of Mixed 2D and 3D Survey Plans with Multi-Level Topology
* Lane-Based Large-Scale UAS Traffic Management
* Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver
* Lane-changing control with balancing lane flow at freeway merge bottlenecks in a connected vehicle environment: Application of a PID controller
* Lane-changing decision method based Nash Q-learning with considering the interaction of surrounding vehicles
* Lane-Curve Detection Based on an LCF, A
* lane-departure identification based on LBPE, Hough transform, and linear regression, A
* Lane-Free Artificial-Fluid Concept for Vehicular Traffic
* Lane-keeping control based on an improved artificial potential method and coordination of steering/braking systems
* Lane-Keeping Control of Automatic Steering Systems via Adaptive Fuzzy Sliding-Mode Approach
* Lane-keeping system design considering driver's nervousness via scene analysis
* Lane-Level Integrity Provision for Navigation and Map Matching With GNSS, Dead Reckoning, and Enhanced Maps
* Lane-Level Road Extraction from High-Resolution Optical Satellite Images
* Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naďve Bayesian Classification
* Lane-Level Street Map Extraction from Aerial Imagery
* Lane-Level Traffic Speed Forecasting: A Novel Mixed Deep Learning Model
* Lane-mark extraction for automobiles under complex conditions
* Lane Background Removal for the Classification of Thin-Layer Chromatography Images
* Lane boundaries detection algorithm using vector lane concept
* Lane Boundary Detection Using a Multiresolution Hough Transform
* Lane Boundary Tracking for an Autonomous Road Vehicle
* Lane Change Classification and Prediction with Action Recognition Networks
* Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning
* Lane Change Maneuvers for Automated Vehicles
* Lane Change Prediction With an Echo State Network and Recurrent Neural Network in the Urban Area
* Lane changing and keeping as mediating variables to investigate the impact of driving habits on efficiency: An EWM-GRA and CB-SEM approach with trajectory data
* lane changing time point and path tracking framework for autonomous ground vehicle, A
* Lane Changing, Lane-Change, Analysis, Control
* Lane Departure Detection, Lane Keeping, Lane Control Assistance
* Lane Departure Identification for Advanced Driver Assistance
* lane departure warning system based on a linear-parabolic lane model, A
* Lane Detection and Tracking Using a Layered Approach
* Lane detection and tracking using a new lane model and distance transform
* Lane detection and tracking using B-Snake
* Lane Detection based on Object Detection and Image-to-image Translation
* Lane Detection Based on Road Module and Extended Kalman Filter
* Lane Detection Based on Visual Attention
* Lane Detection by Orientation and Length Discrimination
* Lane detection in surveillance videos using vector-based hierarchy clustering and density verification
* Lane Detection in Unstructured Environments for Autonomous Navigation Systems
* Lane detection method based on lane structural analysis and CNNs
* Lane Detection Method Based on Multi-Indicator Scoring Mechanism, A
* Lane Detection Model Based on Spatio-Temporal Network With Double Convolutional Gated Recurrent Units
* Lane detection system and apparatus
* Lane Detection Transformer Based on Multi-frame Horizontal and Vertical Attention and Visual Transformer Module
* Lane detection using lane boundary marker network with road geometry constraints
* Lane detection using spline model
* Lane Detection Using Steerable Filters and FPGA-based Implementation
* Lane Detection With a High-Resolution Automotive Radar by Introducing a New Type of Road Marking
* Lane Detection With Moving Vehicles in the Traffic Scenes
* Lane Detection with Versatile AtrousFormer and Local Semantic Guidance
* Lane Detection, Lane Following, White Line Detection
* Lane Determination With GPS Precise Point Positioning
* Lane estimation by particle-filtering combined with likelihood computation of line boundaries and motion compensation
* Lane following and lane departure using a linear-parabolic model
* Lane following combining vision and DGPS
* Lane formation in a microscopic model and the corresponding partial differential equation
* Lane Information Extraction for High Definition Maps Using Crowdsourced Data
* Lane Keeping Based on Location Technology
* Lane Keeping Control of Autonomous Vehicles With Prescribed Performance Considering the Rollover Prevention and Input Saturation
* Lane Level Localization; Using Images and HD Maps to Mitigate The Lateral Error
* Lane Width Estimation in Work Zones Using LiDAR-Based Mobile Mapping Systems
* Lanelet2 for nuScenes: Enabling Spatial Semantic Relationships and Diverse Map-based Anchor Paths
* LANELOK: An Algorithm for Extending the Lane Sensing Operating Range to 100 Feet
* LANELOK: Detection of Lane Boundaries and Vehicle Tracking Using Image-Processing Techniques, Part I: Hough-Transform Region-Tracing and Correlation Algorithms
* LaneLok: Robust Line and Curve Fitting of Lane Boundaries
* LanePainter: Lane Marks Enhancement via Generative Adversarial Network
* LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images
* Langerhans Islet Volume Estimation from 3D Optical Projection Tomography
* Langevin Equations for Landmark Image Registration with Uncertainty
* Language-Agnostic Visual-Semantic Embeddings
* Language-Attention Modular-Network for Relational Referring Expression Comprehension in Videos
* Language-Augmented Pixel Embedding for Generalized Zero-Shot Learning
* Language-Aware Spatial-Temporal Collaboration for Referring Video Segmentation
* Language-aware weak supervision for salient object detection
* Language-Based Image Editing with Recurrent Attentive Models
* Language-Based Image Manipulation Built on Language-Guided Ranking
* Language-based querying of image collections on the basis of an extensible ontology
* Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation
* Language-Conditioned Graph Networks for Relational Reasoning
* Language-Driven Artistic Style Transfer
* Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model
* Language-enhanced RNR-Map: Querying Renderable Neural Radiance Field maps with natural language
* Language-Free Layout Analysis
* Language-free Training for Zero-shot Video Grounding
* Language-Grounded Indoor 3D Semantic Segmentation in the Wild
* Language-Guided Audio-Visual Source Separation via Trimodal Consistency
* Language-Guided Face Animation by Recurrent StyleGAN-Based Generator
* Language-Guided Global Image Editing via Cross-Modal Cyclic Mechanism
* Language-guided graph parsing attention network for human-object interaction recognition
* Language-Guided Multi-Granularity Context Aggregation for Temporal Sentence Grounding
* Language-guided Multi-Modal Fusion for Video Action Recognition
* Language-Guided Music Recommendation for Video via Prompt Analogies
* Language-Guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning
* Language-Independent OCR Using a Continuous Speech Recognition System
* Language-Independent Text-Line Extraction Algorithm for Handwritten Documents
* Language-Independent Text Lines Extraction Using Seam Carving
* Language Adaptive Methodology for Handwritten Text Line Segmentation
* Language Adaptive Weight Generation for Multi-Task Visual Grounding
* Language and Script Identification Based on Steerable Pyramid Features
* Language and vision based person re-identification for surveillance systems using deep learning with LIP layers
* Language and Vision: A Single Perceptual Mechanism
* Language and Visual Relations Encoding for Visual Question Answering
* Language as Queries for Referring Video Object Segmentation
* Language Features Matter: Effective Language Representations for Vision-Language Tasks
* language for construction of belief networks, A
* Language for Human Action, A
* language for pattern recognition, A
* Language Guided Local Infiltration for Interactive Image Retrieval
* Language Identification as Improvement for Lip-Based Biometric Visual Systems
* Language Identification Based on Phone Decoding for Basque and Spanish
* Language identification for handwritten document images using a shape codebook
* Language Identification for Interactive Handwriting Transcription of Multilingual Documents
* Language Identification for Printed Text Independent of Segmentation
* Language identification from handwritten documents
* Language Identification in Degraded and Distorted Document Images
* Language identification in web documents using discrete HMMs
* Language identification of character images using machine learning techniques
* Language Identification of On-Line Documents Using Word Shapes
* Language Identification Using Spectrogram Texture
* Language Identification: Examining the Issues
* Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
* Language Independent Lip Reading
* Language Independent Searching Tools for Cultural Heritage on the Querylab Platform
* Language Independent Skew Estimation Technique Based on Gaussian Mixture Models: A Case Study on South Indian Scripts
* Language independent unsupervised learning of short message service dialect
* Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting
* Language Model-Based on Semantically Clustered Words in a Chinese Character-Recognition System, A
* Language Model Integration for the Recognition of Handwritten Medieval Documents
* language model using variable length tokens for open-vocabulary Hangul text recognition, A
* Language modeling for bag-of-visual words image categorization
* Language Modeling on Location-Based Social Networks
* Language Modelization and Categorization for Voice-Activated QA
* Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering
* Language Models for Handwritten Short Message Services
* Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities, The
* Language of Encoded Line Patterns, The
* Language Person Search with Pair-based Weighting Loss
* Language Proficiency Classification During Computer-Based Test with EEG Pattern Recognition Methods
* Language Recognition, Multi-Language Documents
* Language Reinforced Superposition Multimodal Fusion for Sentiment Analysis
* Language Translation, Grammar Based Analysis
* Language, Vision and Metaphor
* Language2Pose: Natural Language Grounded Pose Forecasting
* Languages and Architectures for Image Processing
* Languages for constrained binary segmentation based on maximum a posteriori probability labeling
* LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data
* Lap-Based Video Frame Interpolation
* LAP-Net: Level-Aware Progressive Network for Image Dehazing
* Laparoscopic instrument localization using a 3-D Time-of-Flight/RGB endoscope
* Laparoscopy, Surgery
* LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization
* Laplace-Beltrami eigenfunction metrics and geodesic shape distance features for shape matching in synthetic aperture sonar
* Laplace-Beltrami Operator on Digital Surfaces
* Laplace-Beltrami Operator: A Ubiquitous Tool for Image and Shape Processing, The
* Laplace-Beltrami spectra for shape comparison of surfaces in 3D using the closest point method
* Laplace Approximation for Divisive Gaussian Processes for Nonstationary Regression
* Laplace Distribution Based CTU Level Rate Control for HEVC
* Laplace Distribution Based Lagrangian Rate Distortion Optimization for Hybrid Video Coding
* Laplace function based nonconvex surrogate for low-rank tensor completion
* Laplace Integral for a Watershed Segmentation, The
* Laplace Landmark Localization
* Laplace Mixture Representation of the Horseshoe and Some Implications, A
* Laplace Random Vectors, Gaussian Noise, and the Generalized Incomplete Gamma Function
* Laplacian-of-Gaussian Kernal: A Formal Analysis and Design for Fast Accurate Convolution and Full Frame Operation, The
* Laplacian-Regularized Low-Rank Subspace Clustering for Hyperspectral Image Band Selection
* Laplacian affine sparse coding with tilt and orientation consistency for image classification
* Laplacian Affinity Propagation for Semi-Supervised Object Classification
* Laplacian Approach to Multi-Oriented Text Detection in Video, A
* Laplacian based image fusion
* Laplacian Based Non-Linear Diffusion Filtering
* Laplacian based structure-aware error diffusion
* Laplacian coordinates-based motion transition for data-driven motion synthesis
* Laplacian Coordinates for Seeded Image Segmentation
* Laplacian Coordinates: Theory and Methods for Seeded Image Segmentation
* Laplacian Deformation with Symmetry Constraints for Reconstruction of Defective Skulls
* Laplacian Derivative Based Regularization for Optical Flow Estimation in Driving Scenario
* Laplacian Eigenimages in Discrete Scale Space
* Laplacian Eigenmap With Temporal Constraints for Local Abnormality Detection in Crowded Scenes
* Laplacian Eigenmaps-Based Polarimetric Dimensionality Reduction for SAR Image Classification
* Laplacian embedding and key points topology verification for large scale mobile visual identification
* Laplacian encoder-decoder network for raindrop removal
* Laplacian Energy for Document Binarization, A
* Laplacian Flow Dynamics on Geometric Graphs for Anatomical Modeling of Cerebrovascular Networks
* Laplacian fusion approach of multi-source point clouds for detail enhancement
* Laplacian group sparse modeling of human actions
* Laplacian ICP for Progressive Registration of 3D Human Head Meshes
* Laplacian linear discriminant analysis
* Laplacian Lp norm least squares twin support vector machine
* Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance
* Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data
* Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and Segmentation
* Laplacian Meshes for Monocular 3D Shape Recovery
* Laplacian Method for Video Text Detection, A
* Laplacian minimax probability machine
* Laplacian object: One-shot object detection by locality preserving projection
* Laplacian Operator-Based Edge Detectors
* Laplacian Operator Based Level Set Segmentation Algorithm for Medical Images
* Laplacian Operators for Direct Processing of Range Data
* Laplacian Patch-Based Image Synthesis
* Laplacian PCA and Its Applications
* Laplacian pyramid adversarial network for face completion
* Laplacian Pyramid as a Compact Image Code, The
* Laplacian Pyramid Based Generative H&E Stain Augmentation Network, A
* Laplacian pyramid decomposition-type method for resolution enhancement of ultrasound images
* Laplacian Pyramid Fusion Network With Hierarchical Guidance for Infrared and Visible Image Fusion
* Laplacian Pyramid Generative Adversarial Network for Infrared and Visible Image Fusion
* Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
* Laplacian Regularized Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery
* Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
* Laplacian Regularized Low-Rank Representation and Its Applications
* Laplacian Regularized Nonnegative Representation for Clustering and Dimensionality Reduction
* Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery
* Laplacian Salience-Gated Feature Pyramid Network for Accurate Liver Vessel Segmentation
* Laplacian Scale-Space Behavior of Planar Curve Corners
* Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications
* Laplacian spectral distances and kernels on 3D shapes
* Laplacian spectral method for stereo correspondence, A
* Laplacian Support Vector Analysis for Subspace Discriminative Learning
* Laplacian Support Vector Machines with Multi-Kernel Learning
* Laplacian, Gaussian Filters for Edges and Zero Crossings
* LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging
* lapped directional transform for spectral image analysis and its application to restoration and enhancement, A
* Lapped Multiple Bases Algorithms for Still Image Compression without Blocking Effect
* Lapped Nonlinear Interpolative Vector Quantization and Image Super-Resolution
* Lapped Orthogonal Transform Designed for Error Resilient Image Coding
* Lapped orthogonal transforms designed for error-resilient image coding
* Lapped spectral decomposition for 3D triangle mesh compression
* Lapped transform-based image denoising with the generalised Gaussian prior
* Lapped transform domain denoising using hidden Markov trees
* Lappeenranta University of Technology
* LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction
* LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
* LapsCore: Language-guided Person Search via Color Reasoning
* LAPSE: Low-Overhead Adaptive Power Saving and Contrast Enhancement for OLEDs
* Laptran: Transformer Embedding Graph Laplacian for Point Cloud Part Segmentation
* LAR-LLC: A Low-Complexity Multiresolution Lossless Image Codec
* LAR-SR: A Local Autoregressive Model for Image Super-Resolution
* Large-Angle Velocity-Free Attitude Tracking Control of Satellites: An Observer-Free Framework
* Large-area depth recovery for RGB-D camera
* Large-Area Gap Filling of Landsat Reflectance Time Series by Spectral-Angle-Mapper Based Spatio-Temporal Similarity (SAMSTS)
* Large-Area Land-Cover Mapping through Scene-Based Classification Compositing
* Large-Area Land Use and Land Cover Classification With Quad, Compact, and Dual Polarization SAR Data by PALSAR-2
* Large-Area Landslides Monitoring Using Advanced Multi-Temporal InSAR Technique over the Giant Panda Habitat, Sichuan, China
* Large-area settlement pattern recognition from Landsat-8 data
* Large-Area, High-Resolution Tree Cover Mapping with Multi-Temporal SPOT5 Imagery, New South Wales, Australia
* Large-Area, High Spatial Resolution Land Cover Mapping Using Random Forests, GEOBIA, and NAIP Orthophotography: Findings and Recommendations
* Large-Capacity and Flexible Video Steganography via Invertible Neural Network
* Large-capacity Image Steganography Based on Invertible Neural Networks
* Large-Dimensional Seismic Inversion Using Global Optimization With Autoencoder-Based Model Dimensionality Reduction
* Large-Displacement 3D Object Tracking with Hybrid Non-local Optimization
* Large-field-of-view, modular, stabilized, adaptive-optics-based scanning laser ophthalmoscope
* Large-Field Contextual Feature Learning for Glass Detection
* Large-Lexicon Attribute-Consistent Text Recognition in Natural Images
* Large-Margin Learning of Compact Binary Image Encodings
* Large-Margin Multi-Modal Deep Learning for RGB-D Object Recognition
* Large-Margin Multi-View Information Bottleneck
* Large-margin multiple kernel Lp-SVDD using Frank-Wolfe algorithm for novelty detection
* Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis
* Large-margin representation learning for texture classification
* Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting
* Large-Scale 3D Object Recognition Dataset, A
* Large-Scale 3D Reconstruction from Multi-View Imagery: A Comprehensive Review
* Large-Scale 3D Reconstruction: A Triangulation-Based Approach
* Large-scale 3D scene modeling by registration of laser range data with Google Maps images
* Large-Scale Accurate Reconstruction of Buildings Employing Point Clouds Generated from UAV Imagery
* Large-Scale Active Learning with Approximations of Expected Model Output Changes
* Large-Scale Aerial Image Categorization Using a Multitask Topological Codebook
* Large-Scale Aerial Image Interpretation Using A Redundant Semantic Classification
* Large-scale Affective Content Analysis: Combining Media Content Features and Facial Reactions
* Large-scale agricultural greenhouse extraction for remote sensing imagery based on layout attention network: A case study of China
* Large-scale Analysis of Athletes' Cumulative Race Time in Running Events, A
* Large-Scale Analysis of Formations in Soccer
* Large-Scale Analysis of the Spatiotemporal Changes of Net Ecosystem Production in Hindu Kush Himalayan Region
* Large-scale and adaptive service composition based on deep reinforcement learning
* Large-scale and drift-free surface reconstruction using online subvolume registration
* Large-scale and rotation-invariant template matching using adaptive radial ring code histograms
* Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks, A
* Large-Scale Assessment of Coastal Aquaculture Ponds with Sentinel-1 Time Series Data
* Large-Scale Automatic Identification of Industrial Vacant Land
* Large-Scale Automatic Vessel Monitoring Based on Dual-Polarization Sentinel-1 and AIS Data
* Large-Scale Bayesian Spatial-Temporal Regression with Application to Cardiac MR-Perfusion Imaging
* large-scale benchmark dataset for event recognition in surveillance video, A
* Large-Scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications
* Large-Scale Biomass Classification in Boreal Forests With TanDEM-X Data
* Large-Scale Bisample Learning on ID Versus Spot Face Recognition
* Large-scale block adjustment without use of ground control points based on the compensation of geometric calibration for ZY-3 images
* Large-scale building height retrieval from single SAR imagery based on bounding box regression networks
* Large-Scale Building Reconstruction Through Information Fusion and 3-D Priors
* Large-Scale Bundle Adjustment by Parameter Vector Partition
* Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models
* Large-Scale Camera Network Topology Estimation by Lighting Variation
* large-scale car dataset for fine-grained categorization and verification, A
* large-scale climate-aware satellite image dataset for domain adaptive land-cover semantic segmentation, A
* Large-Scale Clustering With Structured Optimal Bipartite Graph
* Large-scale color holographic display capable of steering view window
* Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection, A
* Large-Scale Concept Detection in Multimedia Data Using Small Training Sets and Cross-Domain Concept Fusion
* Large-Scale Content-Only Video Recommendation
* Large-scale continual learning for ancient Chinese character recognition
* Large-Scale Continuous Gesture Recognition Using Convolutional Neural Networks
* Large-Scale Crop Mapping Based on Machine Learning and Parallel Computation with Grids
* Large-scale Cross-domain Few-shot Learning
* Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing
* Large-Scale Crowd Density Estimation Based on Effective Region Feature Extraction Method, The
* Large-Scale Crowdsourced Study for Tone-Mapped HDR Pictures
* Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference
* Large-Scale Crustal Deformation of the Tianshan Mountains, Xinjiang, from Sentinel-1 InSAR Observations (2015-2020)
* Large-scale damage detection using satellite imagery
* Large-Scale Data for Multiple-View Stereopsis
* Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection, A
* Large-Scale Database for Chemical Structure Recognition and Preliminary Evaluation, A
* Large-Scale Database of Images and Captions for Automatic Face Naming, A
* Large-Scale Debris Cover Glacier Mapping Using Multisource Object-Based Image Analysis Approach
* Large-Scale Deep-Learning Approach for Multi-Temporal Aqua and Salt-Culture Mapping, A
* Large-Scale Deep Learning Based Binary and Semantic Change Detection in Ultra High Resolution Remote Sensing Imagery: From Benchmark Datasets to Urban Application
* Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning
* Large-Scale Detection of the Tableland Areas and Erosion-Vulnerable Hotspots on the Chinese Loess Plateau
* Large-scale Dictionary Learning for Local Coordinate Coding
* large-scale diffractive glasses-free 3D display, A
* Large-Scale Discovery of Spatially Related Images
* Large-Scale Distance Metric Learning with Uncertainty
* Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks
* Large-scale document image retrieval and classification with runlength histograms and binary embeddings
* Large-Scale Ecological Analyses of Animals in the Wild Using Computer Vision
* Large-scale eigenvector approximation via Hilbert Space Embedding Nyström
* Large-scale EMM identification based on geometry-constrained visual word correspondence voting
* Large-Scale Estimation of Hourly Surface Air Temperature Based on Observations from the FY-4A Geostationary Satellite
* Large-Scale Evaluation of Multimodal Biometric Authentication Using State-of-the-Art Systems
* Large-scale event detection using semi-hidden markov models
* Large-Scale Face Recognition on Smart Devices
* Large-Scale Facial Expression Recognition Using Dual-Domain Affect Fusion for Noisy Labels
* Large-scale failures of f- scaling in natural image spectra
* Large-scale Fashion (DeepFashion) Dataset
* Large-scale feature matching with distributed and heterogeneous computing
* Large-Scale Feature Selection
* Large-scale Few-shot Learning via Multi-modal Knowledge Discovery
* Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy
* Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials
* Large-Scale Fine-Grained Food AnalysIs
* Large-Scale Frontal Vehicle Image Dataset for Fine-Grained Vehicle Categorization, A
* Large-scale functional models of visual cortex for remote sensing
* Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels
* Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks
* Large-scale gaussian process multi-class classification for semantic segmentation and facade recognition
* Large-scale geo-facial image analysis
* Large-scale geo-tagged video indexing and queries
* Large-Scale Geosocial Multimedia
* Large-Scale Geospatial Indexing for Image-Based Retrieval and Analysis
* Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model
* Large-Scale Gesture Recognition With a Fusion of RGB-D Data Based on Saliency Theory and C3D Model
* Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model
* Large-scale graph indexing using binary embeddings of node contexts for information spotting in document image databases
* Large-Scale Graph Indexing Using Binary Embeddings of Node Contexts
* Large-Scale Graph Visualization and Analytics
* Large-Scale High-Resolution Modeling of Microwave Radiance of a Deep Maritime Alpine Snowpack
* Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
* Large-Scale Homography Benchmark, A
* Large-scale image and video search: Challenges, technologies, and trends
* Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning
* Large-scale image annotation using visual synset
* Large-scale image categorization with explicit data embedding
* Large-scale image classification using supervised spatial encoder
* Large-scale image classification with trace-norm regularization
* Large-scale image classification: Fast feature extraction and SVM training
* Large-Scale Image Geo-Localization Using Dominant Sets
* Large-Scale Image Mining with Flickr Groups
* Large-Scale Image Phylogeny: Tracing Image Ancestral Relationships
* Large-Scale Image Retrieval Based on Compressed Camera Identification
* Large-Scale Image Retrieval Using Local Binary Patterns and Iterative Quantization
* Large-scale image retrieval using transductive support vector machines
* Large-Scale Image Retrieval with Attentive Deep Local Features
* Large-scale image retrieval with compressed Fisher vectors
* Large-Scale Impervious Surface Area Mapping and Pattern Evolution of the Yellow River Delta Using Sentinel-1/2 on the GEE
* Large-scale implementation of floating car data monitoring road friction
* Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach
* Large-Scale Indoor/Outdoor Image Classification via Expert Decision Fusion (EDF)
* Large-scale infographic image downsizing
* Large-Scale Interactive Object Segmentation With Human Annotators
* Large-Scale Invariant Matching Method Based on DeepSpace-ScaleNet for Small Celestial Body Exploration, A
* Large-Scale Isolated Gesture Recognition Using a Refined Fused Model Based on Masked Res-C3D Network and Skeleton LSTM
* Large-Scale Isolated Gesture Recognition Using Convolutional Neural Networks
* Large-scale Isolated Gesture Recognition using pyramidal 3D convolutional networks
* Large-scale knowledge transfer for object localization in ImageNet
* Large-Scale L_0-Norm and L_1-Norm 2-D Phase Unwrapping
* Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation
* Large-Scale Land Deformation Monitoring over Southern California with Multi-Path SAR Data
* Large-Scale Land Subsidence Monitoring and Prediction Based on SBAS-InSAR Technology with Time-Series Sentinel-1A Satellite Data
* Large-scale learning for media understanding
* Large-scale Learning of Sign Language by Watching TV (Using Co-occurrences)
* Large-scale Learning with SVM and Convolutional for Generic Object Categorization
* Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
* Large-scale Localization Datasets in Crowded Indoor Spaces
* Large-Scale Location Recognition and the Geometric Burstiness Problem
* Large-Scale Long-Tailed Recognition in an Open World
* Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
* Large-Scale Maintenance and Rehabilitation Optimization for Multi-Lane Highway Asphalt Pavement: A Reinforcement Learning Approach
* Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction, A
* Large-scale manifold learning
* Large-Scale Many-Objective Deployment Optimization of Edge Servers
* Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks
* Large-Scale Mapping of Tree Species and Dead Trees in Šumava National Park and Bavarian Forest National Park Using Lidar and Multispectral Imagery
* Large-scale measurement experiments of P2P-TV systems insights on fairness and locality
* Large-Scale Micro-Blog Authorship Attribution: Beyond Simple Feature Engineering
* Large-scale Mining, Discovery and Visualization of WWW User Clickpaths
* Large-Scale Mobile-Based Analysis for National Travel Demand Modeling
* Large-Scale Mode Impacts on the Sea Level over the Red Sea and Gulf of Aden
* Large-Scale Modeling of Parametric Surfaces Using Spherical Harmonics
* Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation
* Large-Scale Monitoring of Glacier Surges by Integrating High-Temporal- and -Spatial-Resolution Satellite Observations: A Case Study in the Karakoram
* Large-scale monocular SLAM by local bundle adjustment and map joining
* Large-Scale Multi-Fleet Platoon Coordination: A Dynamic Programming Approach
* Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar, A
* Large-scale multi-label classification using unknown streaming images
* Large-Scale Multi-resolution Surface Reconstruction from RGB-D Sequences
* Large-Scale Multi-View Clustering via Fast Essential Subspace Representation Learning
* Large-Scale Multibaseline Phase Unwrapping: Interferogram Segmentation Based on Multibaseline Envelope-Sparsity Theorem
* Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex
* Large-Scale Multimedia Retrieval and Mining
* Large-Scale Multimodal Gesture Recognition Using Heterogeneous Networks
* Large-Scale Multimodal Gesture Segmentation and Recognition Based on Convolutional Neural Networks
* Large-Scale Multiple-Objective Method for Black-box Attack Against Object Detection, A
* Large-scale multiview 3D hand pose dataset
* Large-scale music exploration in hierarchically organized landscapes using prototypicality information
* Large-Scale Mussel Farm Reconstruction with GPS Auxiliary
* Large-scale near-duplicate image retrieval by kernel density estimation
* Large-Scale Near-Duplicate Web Video Retrieval: Challenges and Approaches
* Large-Scale Network Construction and Lightweighting Method for Point Cloud Semantic Segmentation, A
* Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients
* Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine
* Large-Scale Object Classification Using Label Relation Graphs
* Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels
* Large-Scale Oceanic Variability Associated with the Madden-Julian Oscillation during the CINDY/DYNAMO Field Campaign from Satellite Observations
* Large-Scale Oil Palm Tree Detection from High-Resolution Satellite Images Using Two-Stage Convolutional Neural Networks
* Large-Scale Open-Set Classification Protocols for ImageNet
* Large-Scale Open-Source Acoustic Simulator for Speaker Recognition, A
* Large-Scale Optimal Sensor Array Management for Multitarget Tracking
* Large-Scale Optimization Method Using a Sparse Approximation of the Hessian for Magnetic Resonance Fingerprinting, A
* Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images
* Large-scale outdoor 3D reconstruction on a mobile device
* Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction, A
* Large-Scale Parallel Data Clustering
* Large-Scale Particle Image Velocimetry to Measure Streamflow from Videos Recorded from Unmanned Aerial Vehicle and Fixed Imaging System
* Large-Scale Person Detection and Localization using Overhead Fisheye Cameras
* Large-Scale Planar Block Adjustment of GaoFen1 WFV Images Covering Most of Mainland China
* Large-scale point cloud contour extraction via 3D guided multi-conditional generative adversarial network
* Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs
* Large-Scale Populus euphratica Distribution Mapping Using Time-Series Sentinel-1/2 Data in Google Earth Engine
* Large-Scale Pre-training for Person Re-identification with Noisy Labels
* Large-scale Pretraining for Visual Dialog: A Simple State-of-the-art Baseline
* Large-scale privacy protection in Google Street View
* Large-Scale Product Classification via Spatial Attention Based CNN Learning and Multi-class Regression
* Large-Scale R-CNN with Classifier Adaptive Quantization
* large-scale remote sensing database for subjective and objective quality assessment of pansharpened images, A
* Large-Scale Remote Sensing Image Retrieval Based on Semi-Supervised Adversarial Hashing
* Large-Scale Remote Sensing Image Retrieval by Deep Hashing Neural Networks
* Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data
* Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model
* Large-Scale Rice Mapping Using Multi-Task Spatiotemporal Deep Learning and Sentinel-1 SAR Time Series
* Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery
* Large-scale road detection in forested mountainous areas using airborne topographic lidar data
* Large-scale road extraction from high-resolution remote sensing images based on a weakly-supervised structural and orientational consistency constraint network
* Large-scale road safety evaluation using extreme value theory
* Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
* Large-Scale Robust Semisupervised Classification
* Large-Scale Robustness Analysis of Video Action Recognition Models, A
* Large-scale scene image categorisation with deep learning-based model
* Large-scale scene reconstruction using periscopic stereo
* Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling
* Large-scale semantic co-labeling of image sets
* Large-Scale Semantic Scene Understanding with Cross-Correction Representation
* Large-Scale Signature Matching Using Multi-stage Hashing
* Large-Scale Similarity-Based Join Processing in Multimedia Databases
* Large-Scale Simulation Studies in Image Pattern Recognition
* Large-Scale Situation Awareness With Camera Networks and Multimodal Sensing
* large-scale solar image dataset with labeled event regions, A
* Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation
* Large-Scale Spatial-Temporal Identification of Urban Vacant Land and Informal Green Spaces Using Semantic Segmentation
* Large-Scale Spatio-Temporal Person Re-Identification: Algorithms and Benchmark
* Large-Scale Station-Level Crowd Flow Forecast with ST-Unet
* Large-Scale Stereo Display Wall Using Programmable Graphics Hardware
* Large-Scale Stereo for Improvement of 3D Measurement Accuracy in Gaze-Observation
* Large-Scale Study of Perceptual Video Quality
* Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition, A
* Large-Scale Study on Unsupervised Spatiotemporal Representation Learning, A
* Large-scale Subsidence Geohazard Monitoring with Sentinel-1 SAR Interferometry In Central Lishui (China)
* Large-Scale SUMO-Based Emulation Platform, A
* Large-Scale Surface Deformation Monitoring Using SBAS-InSAR and Intelligent Prediction in Typical Cities of Yangtze River Delta
* Large-Scale Systematic Evaluation of Algorithms Using Ground-Penetrating Radar for Landmine Detection and Discrimination, A
* Large-Scale Tag-Based Font Retrieval With Generative Feature Learning
* Large-Scale Tattoo Image Retrieval
* Large-scale three-dimensional measurement based on LED marker tracking
* Large-Scale Tracking for Images With Few Textures
* Large-scale Training Data Search for Object Re-identification
* Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples
* Large-scale TV Dataset for Partial Video Copy Detection, A
* Large-Scale Unsupervised Semantic Segmentation
* Large-scale urban environment modeling from videos using image content segmentation and alignment
* Large-Scale Urban Heating and Pollution Domes over the Indian Subcontinent
* Large-Scale Urban Modeling by Combining Ground Level Panoramic and Aerial Imagery
* Large-Scale Urban Multiple-Modal Transport Evacuation Model for Mass Gathering Events Considering Pedestrian and Public Transit System
* Large-scale urban point cloud labeling and reconstruction
* Large-Scale Urban Reconstruction with Tensor Clustering and Global Boundary Refinement
* Large-scale vehicle detection in challenging urban surveillance environments
* Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos
* Large-Scale Video Classification with Convolutional Neural Networks
* Large-Scale Video Classification with Feature Space Augmentation Coupled with Learned Label Relations and Ensembling
* Large-scale video event classification using dynamic temporal pyramid matching of visual semantics
* Large-Scale Video Hashing via Structure Learning
* Large-scale Video Panoptic Segmentation in the Wild: A Benchmark
* Large-Scale Video Retrieval Using Image Queries
* Large-Scale Video Search and Mining
* Large-Scale Video Summarization Using Web-Image Priors
* Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses, A
* Large-Scale Visual Font Recognition
* Large-scale vocabularies with local graph diffusion and mode seeking
* Large-Scale Water Productivity Assessments with MODIS Images in a Changing Semi-Arid Environment: A Brazilian Case-Study
* Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition
* Large-Scale Weakly Supervised Object Localization via Latent Category Learning
* Large-scale web video event classification by use of Fisher Vectors
* Large-Scale WSNs Resource Scheduling Algorithm in Smart Transportation Monitoring Based on Differential Ion Coevolution and Multi-Objective Decomposition
* Large-scale, dense city reconstruction from user-contributed photos
* Large-Scale, High-Resolution Mapping of Soil Aggregate Stability in Croplands Using APEX Hyperspectral Imagery
* Large-Scale, Metric Structure From Motion for Unordered Light Fields
* Large-Scale, Multi-Temporal Remote Sensing of Palaeo-River Networks: A Case Study from Northwest India and its Implications for the Indus Civilisation
* Large-Scale, Multiple Level-of-Detail Change Detection from Remote Sensing Imagery Using Deep Visual Feature Clustering
* Large-Scale, Time-Synchronized Visible and Thermal Face Dataset, A
* Large-scaled detection of COVID-19 from X-ray using transfer learning
* Large-Scene Deceptive Jamming Method for Space-Borne SAR Based on Time-Delay and Frequency-Shift with Template Segmentation, A
* Large-Scope PolSAR Image Change Detection Based on Looking-Around-and-Into Mode
* Large-Size Data Distribution in IoV Based on 5G/6G Compatible Heterogeneous Network
* large-to-fine-scale shape prior for probabilistic segmentations using a deformable m-rep, A
* Large-to-small Image Resolution Asymmetry in Deep Metric Learning
* Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement Models
* Large-Vocabulary Continuous Speech Recognition Systems: A Look at Some Recent Advances
* Large Aerial Image Tie Point Matching in Real and Difficult Survey Areas via Deep Learning Method
* Large Age-Gap face verification by feature injection in deep networks
* Large and Diverse Dataset for Improved Vehicle Make and Model Recognition, A
* Large Anomalies in the Tropical Upper Troposphere Lower Stratosphere (UTLS) Trace Gases Observed during the Extreme 2015-16 El Nińo Event by Using Satellite Measurements
* Large Area Aboveground Biomass and Carbon Stock Mapping in Woodlands in Mozambique with L-Band Radar: Improving Accuracy by Accounting for Soil Moisture Effects Using the Water Cloud Model
* Large Area Displays: The Changing Face of Visualization
* Large Area High-Resolution 3D Mapping of Oxia Planum: The Landing Site for the ExoMars Rosalind Franklin Rover
* Large Area High-Resolution 3D Mapping of the Von Karman Crater: Landing Site for the Chang'E-4 Lander and Yutu-2 Rover
* Large Area Land Cover Classification With Landsat Etm+ Images Based On Decision Tree
* Large area QuickBird imagery for object-based image analysis in Western Kenya: pre-processing difficulties, workarounds and resulting benefits as well as (first) segmentation strategies
* Large Area Video Surveillance System with Handoff Scheme among Multiple Cameras
* Large Array Null Steering Using Compressed Sensing
* Large Barrel Distortion in an Acquisition System for Multifocal Images Extraction, A
* Large Baseline Matching of Scale Invariant Features
* Large Batch Optimization for Object Detection: Training Coco in 12 minutes
* Large Class Separation is Not What You Need for Relational Reasoning-Based OOD Detection
* Large color gamut displays with diffraction gratings
* Large Common Plansets-4-Points Congruent Sets for Point Cloud Registration
* Large Comparison of Feature-Based Approaches for Buried Target Classification in Forward-Looking Ground-Penetrating Radar, A
* Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning, A
* Large Data Sets and Confusing Scenes in 3-D Surface Matching and Recognition
* Large Database Compression Based on Perceived Information
* large database of graphs and its use for benchmarking graph isomorphism algorithms, A
* Large Dataset of Historical Japanese Documents with Complex Layouts, A
* Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation, A
* Large Dataset With a New Framework for Abandoned Object Detection in Complex Scenarios, A
* Large deformable splines, crest lines and matching
* Large Deformation Diffeomorphic Metric Curve Mapping
* Large Deformation Diffeomorphic Metric Mapping of Fiber Orientations
* Large Deformation Diffeomorphic Metric Mapping of Vector Fields
* Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies
* Large Deformation Diffeomorphism and Momentum Based Hippocampal Shape Discrimination in Dementia of the Alzheimer type
* Large deformation diffeomorphisms with application to optic flow
* Large Deformation Multiresolution Diffeomorphic Metric Mapping for Multiresolution Cortical Surfaces: A Coarse-to-Fine Approach
* Large Differences in Terrestrial Vegetation Production Derived from Satellite-Based Light Use Efficiency Models
* Large Discriminative Structured Set Prediction Modeling With Max-Margin Markov Network for Lossless Image Coding
* Large Disparity Motion Layer Extraction via Topological Clustering
* Large Displacement 3D Scene Flow with Occlusion Reasoning
* Large Displacement Dynamic Scene Segmentation through Multiscale Saliency Flow
* Large displacement optical flow based image predictor model
* Large displacement optical flow computation without warping
* Large Displacement Optical Flow for Volumetric Image Sequences
* Large Displacement Optical Flow from Nearest Neighbor Fields
* Large displacement optical flow
* Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
* Large Display Interaction Using Video Avatar and Hand Gesture Recognition
* Large Earthquake Occurrence Estimation Based on Radial Basis Function Neural Networks
* Large Encrypting Binary Images with Higher Security
* Large environment rendering using plenoptic primitives
* Large Factor Image Super-Resolution With Cascaded Convolutional Neural Networks
* Large Families of Grey Arrays with Perfect Auto-correlation and Optimal Cross-Correlation
* Large Field/Close-Up Image Classification: From Simple to Very Complex Features
* Large Geometric Models Archive
* Large Graph Clustering With Simultaneous Spectral Embedding and Discretization
* Large group activity security risk assessment and risk early warning based on random forest algorithm
* Large Head Movement Tracking Using Scale Invariant View-Based Appearance Model
* Large Hierarchical Object Recognition Using Libraries of Parameterized Model Sub-Parts
* Large Image Collection Visualization Using Perception-Based Similarity with Color Features
* Large image datasets: A pyrrhic win for computer vision?
* Large image modality labeling initiative using semi-supervised and optimized clustering
* Large Inpainting of Face Images With Trainlets
* Large Kernel Distillation Network for Efficient Single Image Super-Resolution
* Large Kernel Matters: Improve Semantic Segmentation by Global Convolutional Network
* Large Kernel Refine Fusion Net for Neuron Membrane Segmentation
* Large Lexicon Detection of Sign Language
* Large Loss Matters in Weakly Supervised Multi-Label Classification
* large margin algorithm for automated segmentation of white matter hyperintensity, A
* large margin approach for writer independent online handwriting classification, A
* Large margin AR model for time series classification
* Large margin based nonnegative matrix factorization and partial least squares regression for face recognition
* Large Margin Classifier Based on Affine Hulls
* Large margin classifiers based on convex class models
* Large margin cost-sensitive learning of conditional random fields
* Large Margin Dimensionality Reduction for Action Similarity Labeling
* Large Margin Discriminant Hashing for Fast k-Nearest Neighbor Classification
* large margin framework for single camera offline tracking with hybrid cues, A
* Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification
* Large margin learning of hierarchical semantic similarity for image classification
* Large margin linear projection and face recognition
* Large Margin Local Estimate With Applications to Medical Image Classification
* Large Margin Local Metric Learning
* Large Margin Multi-metric Learning for Face and Kinship Verification in the Wild
* Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification
* Large Margin Multi-Modal Triplet Metric Learning
* Large Margin Nearest Neighbor Classification With Privileged Information for Biometric Applications
* Large margin null space discriminant analysis with applications to face recognition
* Large Margin Object Tracking with Circulant Feature Maps
* Large margin pursuit for a Conic Section classifier
* Large margin relative distance learning for person re-identification
* Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking
* Large Margin Subspace Learning for feature selection
* Large motion anime head animation using a cascade pose transform network
* Large Motion Estimation for Omnidirectional Vision
* Large Motion Object Tracking using Active Contour Combined Active Appearance Model
* Large object detection in cluttered background using boosted Markov Chain Monte Carlo
* Large Occlusion Stereo
* Large off-nadir scan angle of airborne LiDAR can severely affect the estimates of forest structure metrics
* Large Oil Spill Classification Using Sar Images Based On Spatial Histogram
* Large Old Landslide in Sichuan Province, China: Surface Displacement Monitoring and Potential Instability Assessment, A
* Large Parallax Image Stitching Using an Edge-Preserving Diffeomorphic Warping Process
* Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression
* Large receptive field convolutional neural network for image super-resolution
* Large Receptive Field Networks for High-Scale Image Super-Resolution
* Large River Plumes Detection by Satellite Altimetry: Case Study of the Ob-Yenisei Plume
* Large Sample Bias in Least Squares Estimation of a Circular Arc Center and Its Radius
* Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering
* Large scalability in document image matching using text retrieval
* Large Scale 3D Data: Acquisition, Modelling and Analysis
* Large Scale 3D Environmental Modelling for Stereoscopic Walk-Through Visualisation
* Large Scale 3D Morphable Models
* Large Scale 3D Point Cloud Modeling from CAD Database in Complex Industrial Environments
* Large scale address recognition systems: Truthing, testing, tools, and other evaluation issues
* Large Scale Agricultural Plastic Mulch Detecting and Monitoring with Multi-Source Remote Sensing Data: A Case Study in Xinjiang, China
* Large scale and long standing simultaneous reconstruction and segmentation
* Large Scale Application Response Time Measurement Using Image Recognition and Deep Learning
* Large Scale Asset Extraction for Urban Images
* Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks
* Large Scale Automatic Analysis and Classification of Roof Surfaces for the Installation of Solar Panels Using a Multi-Sensor Aerial Platform
* Large Scale Bayesian Inference And Experimental Design For Sparse Linear Models
* Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions
* Large Scale Characterization of the Dielectric Properties of Heterogeneous Layered Rock Salt, A
* large scale clustering scheme for kernel k-means, A
* Large Scale Constraint Delaunay Triangulation for Virtual Globe Rendering
* Large scale continuous visual event recognition using max-margin Hough transformation framework
* Large scale crowd analysis based on convolutional neural network
* Large Scale Dataset for Cross-Model Multimedia Analysis
* Large Scale Document Image Retrieval by Automatic Word Annotation
* Large Scale Evaluations of Multimedia Information Retrieval: The TRECVid Experience
* Large Scale Experiments on Fingerprint Liveness Detection
* Large scale face identification by combined iconic features and 3D joint invariant signatures
* Large scale feature selection using modified random mutation hill climbing
* Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
* large scale footstep database for biometric studies created using cross-biometrics for labelling, A
* Large scale Gaussian Process for overlap-based object proposal scoring
* Large Scale Graph Based Network Forensics Analysis
* Large Scale Hard Sample Mining with Monte Carlo Tree Search
* Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data
* Large Scale Holistic Video Understanding
* Large Scale Image Categorization in Sparse Nonparametric Bayesian Representation
* Large Scale Image Indexing Using Online Non-negative Semantic Embedding
* Large scale image retrieval with visual groups
* Large Scale Image Search
* Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction
* Large Scale Incremental Learning
* Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset
* Large Scale Labelled Video Data Augmentation for Semantic Segmentation in Driving Scenarios
* Large Scale Landform Mapping Using Lidar DEM
* Large scale learning and recognition of faces in web videos
* Large Scale Learning of Active Shape Models
* Large Scale Medical Image Search via Unsupervised PCA Hashing
* Large scale metric learning from equivalence constraints
* Large Scale Models, City Scale Models, City Models
* Large scale monitoring of crowds and building utilisation: A new database and distributed approach
* Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm under Mixed Illumination
* Large Scale Multi-View RGBD Visual Affordance Learning Dataset, A
* Large Scale Multi-View Stereo, Internet Scale, Many Views
* Large Scale Multi-view Stereopsis Evaluation
* Large Scale Multimodal Data Capture, Evaluation and Maintenance Framework for Autonomous Driving Datasets
* Large Scale Near-Duplicate Image Retrieval via Patch Embedding
* Large Scale Novel Object Discovery in 3D
* Large scale object's measurement method research based on multi-view Reconstruction
* Large scale on-line handwritten Chinese character recognition using successor method based on stochastic regular grammar
* Large Scale Online Learning of Image Similarity through Ranking
* Large Scale Page-Based Book Similarity Clustering
* Large Scale Palm Tree Detection in High Resolution Satellite Images Using U-Net
* Large Scale Real-World Multi-person Tracking
* Large Scale Retrieval and Generation of Image Descriptions
* Large Scale RGB-D Dataset for Action Recognition, A
* Large Scale Scene Matching for Graphics and Vision
* Large Scale Scene Text Verification with Guided Attention
* Large Scale Semantic Segmentation of Virtual Environments to Facilitate Corrosion Management
* Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer
* Large Scale SfM with the Distributed Camera Model
* Large Scale Shadow Annotation and Detection Using Lazy Annotation and Stacked CNNs
* Large Scale Sketch Based Image Retrieval Using Patch Hashing
* Large Scale Specific Object Recognition by Using GIFTS Image Feature
* Large Scale Spectral Clustering Via Landmark-Based Sparse Representation
* Large Scale Stereo Vision
* Large Scale Subjective Video Quality Study
* Large Scale System for Searching and Browsing Images from the World Wide Web, A
* Large Scale Systems, Web-Scale System, Learning, Neural Nets
* Large Scale Texture Mapping of Building Facades
* Large Scale Trajectory Dataset for Shopper Behaviour Understanding, A
* Large Scale Urban Reconstruction from Remote Sensing Imagery
* Large Scale Urban Scene Modeling from MVS Meshes
* Large Scale Vehicle Re-Identification by Knowledge Transfer from Simulated Data and Temporal Attention
* Large Scale Video Database
* Large Scale Video Representation Learning via Relational Graph Clustering
* Large scale vision-based navigation without an accurate global reconstruction
* Large scale visual-based event matching
* Large Scale Visual Commerce
* Large Scale Visual Food Recognition
* Large Scale Visual Geo-Localization of Images in Mountainous Terrain
* Large Scene Deceptive Jamming Method for Space-Borne SAR, A
* Large scene reconstruction with local details recovery
* Large Selective Kernel Network for Remote Sensing Object Detection
* Large Size 1D Signal Analysis by Hybrid Tchebichef-Charlier Moments
* Large Structures: Which Solutions for Health Monitoring?
* Large System Decision Fusion Performance in Inhomogeneous Sensor Networks
* Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks
* Large Tree Classifier with Heuristic Search and Global Training
* Large tree diameter distribution modelling using sparse airborne laser scanning data in a subtropical forest in Nepal
* Large Uncertainty on Forest Area Change in the Early 21st Century among Widely Used Global Land Cover Datasets
* Large Visual Repository Search with Hash Collision Design Optimization
* Large visual words for large scale image classification
* Large Vocabularies for Keypoint-Based Representation and Matching of Image Patches
* Large Vocabulary Audio-visual Speech Recognition Using Active Shape Models
* Large Vocabulary Audio-Visual Speech Recognition Using the Janus Speech Recognition Toolkit
* Large Vocabulary Continuous Speech Recognition With Reservoir-Based Acoustic Models
* Large vocabulary quantization for searching instances from videos
* Large Vocabulary Recognition Of Online Handwritten Cursive Words
* Large Vocabulary Sign Language Recognition Based on Fuzzy Decision Trees
* Large Window Median Filtering on CLIP7
* LARGE: Latent-Based Regression through GAN Semantics
* LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs
* Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
* Larger Receptive Field Based RGB Visual Relocalization Method Using Convolutional Network
* Largest-Eigenvalue-Theory for Incremental Principal Component Analysis
* Largest Area Parallelogram Inside a Digital Object in a Triangular Grid
* Largest Dynamic Range of a Generalized Chinese Remainder Theorem for Two Integers, The
* largest empty rectangle containing only a query object in Spatial Databases, The
* largest inertial sensor-based gait database and performance evaluation of gait-based personal authentication, The
* Largest Matching Areas for Illumination and Occlusion Robust Face Recognition
* Largest Silhouette-Equivalent Volume for 3D Shapes Modeling without Ghost Object
* LARNeXt: End-to-End Lie Algebra Residual Network for Face Recognition
* LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
* Laryngoscope8: Laryngeal image dataset and classification of laryngeal disease based on attention mechanism
* LAS-AT: Adversarial Training with Learnable Attack Strategy
* Las2DoD: Change Detection Based on Digital Elevation Models Derived from Dense Point Clouds with Spatially Varied Uncertainty
* LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas
* Laser-Based Bidirectional Pedestrian Counting via Height Map Guided Regression and Voting
* Laser-based detection and tracking of multiple people in crowds
* Laser-Based Intersection-Aware Human Following With a Mobile Robot in Indoor Environments
* Laser-based multi-user multi-modal 3D displays
* Laser-based SLAM automatic parallel parking path planning and tracking for passenger vehicle
* Laser-Induced Breakdown Spectroscopy Experiment Platform for High-Degree Simulation of MarSCoDe In Situ Detection on Mars, A
* Laser-marked alphanumeric character recognition by multi-angled parallel matching method
* Laser-Scanner-Based Approach Toward Driving Safety and Traffic Data Collection, A
* Laser-scanner Survey of Structural Disorders: An Instrument to Inspect The History of Parma Cathedral's Central Nave
* Laser-slam Algorithm For Indoor Mobile Mapping, A
* Laser-Video Scanner Calibration without the Use of Frame Store
* Laser-visual-inertial Odometry Based Solution for 3d Heritage Modeling: The Sanctuary of The Blessed Virgin of Trompone
* Laser altimeter and probe height sensor
* Laser Altimeter Performance Model and Its Application to BELA, A
* Laser and Multi-image Reverse Engineering Systems for Accurate 3d Modelling of Complex Cultural Artefacts
* Laser Backscattering Analytical Model of Doppler Power Spectra about Convex Quadric Bodies of Revolution during Precession
* Laser beam inspection apparatus
* Laser beam path profile sensor system
* Laser DTM generation for South-Tyrol and 3D-visualization
* Laser Footprint Size and Pointing Precision Analysis for LIDAR Systems
* Laser Intensity-Based Obstacle Detection and Tracking
* Laser Line Segmentation with Dynamic Line Models
* Laser measurement system
* Laser only feature based multi robot SLAM
* Laser optical feedback imaging controlled by an electronic feedback loop
* Laser pointer interaction for camera-registered multi-projector displays
* Laser probe for determining distance
* Laser projector having silhouette blanking for objects in the output light path
* Laser Pulse Analysis for Reconstruction and Classification of Urban Objects
* Laser Pulse Variations And Their Influence On Radiometric Calibration Of Full-Waveform Laser Scanner Data
* Laser Radar in Robotics
* Laser Range Data, Photographs and Architecural Components
* Laser Range Finder Based on Synchronized Scanners
* Laser range imaging system based on projective geometry
* Laser range scanner based on self-calibration techniques using coplanarities and metric constraints
* laser range scanner designed for minimum calibration complexity, A
* Laser Ranging Bathymetry Using a Photon-Number-Resolving Detector
* Laser Ranging Modeling Under Generalized Mixed Pixels Effect
* Laser ranging system calibration device
* Laser Scanner-Based Deformation Analysis Using Approximating B-Spline Surfaces
* Laser Scanner and Camera-Equipped UAV Architectural Surveys
* Laser Scanner Calibration -- Calgary Group, Lichti
* Laser scanner for reading two dimensional bar codes
* Laser Scanner Reliefs of Selected Archeological Structures in the Submerged Baiae (Naples)
* Laser Scanner Simulator for System Analysis and Algorithm Development: a Case with Forest Measurements
* Laser Scanner Survey Of An Archaeological Site: Scala Di Furno (Lecce, Italy)
* Laser Scanner Survey To Cultural Heritage Conservation And Restoration
* laser scanning-based method for fast estimation of seismic-induced building deformations, A
* Laser Scanning and Ambient Vibration Study of Juma Mosque in Khiva (Uzbekistan) with Subsequent Finite Element Modeling of Its Minaret
* Laser Scanning and Data Integration for Three-Dimensional Digital Recording of Complex Historical Structures: The Case of Mevlana Museum
* Laser Scanning and Its Potential to Support 3D Panoramic Recording
* Laser Scanning And Modelling of Barely Visible Features: the Survey Of The Grotto of the Animals At the Villa of Castello (florence)
* Laser Scanning Applied To Hydraulic Modeling
* Laser Scanning Based Surface Flatness Measurement Using Flat Mirrors for Enhancing Scan Coverage Range
* Laser Scanning for Terrain Analysis and Route Design for Electrified Public Transport in Urban Areas
* Laser Scanning for the Geometric Study of the Alcántara Bridge and Coria Cathedral
* Laser Scanning in Forests
* Laser scanning in Ostia: A comparative study of accuracy of the drawings in 1950s and field survey on tall structures
* Laser Scanning Investigation and Geophysical Monitoring to Characterise Cultural Heritage Current State and Threat by Traffic-Induce Vibrations: The Villa Farnesina in Rome
* Laser Scanning of a Monolithic Column During Processing in Middle Egypt
* Laser scanning system and scanning method for reading 1-D and 2-D barcode symbols
* Laser Scanning Techniques and Safety Analysis for Nantou City Wall
* Laser Scar Detection in Fundus Images Using Convolutional Neural Networks
* Laser Sensors for Range, Time of Flight
* Laser speckle photography for surface tampering detection
* Laser Strip Adjustment for Data Calibration and Verification
* Laser stripe peak detector for 3D scanners. A FIR filter approach
* Laser Time-of-Flight Range Scanner for Robotic Vision, A
* Laser Tracking System to Measure Position and Orientation of Robot End Effectors Under Motion, A
* LASER: LAtent SpacE Rendering for 2D Visual Localization
* LaserMix for Semi-Supervised LiDAR Semantic Segmentation
* LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
* Laserscanning or image-based modeling? A comparative through the modelization of San Nicolas Church
* Laserscanning survey of the Aquileia basilica (Italy) and automatic modeling of the volumetric primitives
* LasHeR: A Large-Scale High-Diversity Benchmark for RGBT Tracking
* LASIC: A model invariant framework for correspondence
* LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
* LASOR: Learning Accurate 3D Human Pose and Shape via Synthetic Occlusion-Aware Data and Neural Mesh Rendering
* LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking
* LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
* LASP: Local adaptive super-pixels
* LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision and Language Models
* LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging
* LASSO (L1) Regularization for Development of Sparse Remote-Sensing Models with Applications in Optically Complex Waters Using GEE Tools
* LASSO approximation and application to image super-resolution with CUDA acceleration
* Lasso Method for Multi-Robot Foraging, The
* Last-Mile School Shuttle Planning With Crowdsensed Student Trajectories
* Last Mile Logistics In the Framework of Smart Cities: A Typology Of City Logistics Schemes
* last two decades of Studies in diffusion models: A bibliometric analysis, The
* LAST: LAtent Space-Constrained Transformers for Automatic Surgical Phase Recognition and Tool Presence Detection
* LAST: Location-Appearance-Semantic-Temporal Clustering Based POI Summarization
* LAT: Local area transform for cross modal correspondence matching
* LATCH: Learned arrangements of three patch codes
* Late-resizing: A Simple but Effective Sketch Extraction Strategy for Improving Generalization of Line-art Colorization
* Late Blight Forecast Using Mobile Phone Based Agro Advisory System
* Late Cenozoic to Present Kinematic of the North to Eastern Iran Orogen: Accommodating Opposite Sense of Fault Blocks Rotation
* Late feature supplement network for early action prediction
* late fusion approach to combine multiple pedestrian detectors, A
* Late Fusion CNN for Digital Matting, A
* Late fusion for person detection in camera networks
* Late Fusion Incomplete Multi-View Clustering
* Late Fusion Multiple Kernel Clustering With Local Kernel Alignment Maximization
* Late Fusion of Bayesian and Convolutional Models for Action Recognition
* Late fusion of deep learning and handcrafted visual features for biomedical image modality classification
* Late Fusion via Subspace Search With Consistency Preservation
* Late pre-dereverberation for speech intelligibility enhancement in public address systems
* Late Stopping: Avoiding Confidently Learning from Mislabeled Examples
* LATE: A Level-Set Method Based on Local Approximation of Taylor Expansion for Segmenting Intensity Inhomogeneous Images
* Latency-Aware Adaptive Video Summarization for Mobile Edge Clouds
* Latency-Aware Collaborative Perception
* Latency-Energy Tradeoff in Connected Autonomous Vehicles: A Deep Reinforcement Learning Scheme
* Latency and avatars in Virtual Environments and the effects on gait for persons with mobility impairments
* Latency Compensation and Prediction for Wireless Train to Ground Communication Network Based on Hybrid LSTM Model
* Latency Compensation Through Image Warping For Remote Rendering-Based Volumetric Video Streaming
* Latency impact on Quality of Experience in a virtual reality simulator for remote control of machines
* Latency in Speech Feature Analysis for Telepresence Event Coding
* Latency Matters: Real-Time Action Forecasting Transformer
* Latent-Based Adversarial Neural Networks for Facial Affect Estimations
* Latent-Class Hough Forests for 3D Object Detection and Pose Estimation
* Latent-Class Hough Forests for 6-DoF Object Pose Estimation
* Latent-Dynamic Discriminative Models for Continuous Gesture Recognition
* Latent-Factor-Model-Based Approach for Traffic Data Imputation with Road Network Information, A
* Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
* Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression Recognition
* Latent-Segmentation, Hazard-Based Models of Travel Time
* Latent-Shift: Gradient of Entropy Helps Neural Codecs
* Latent-space Disentanglement with Untrained Generator Networks for the Isolation of Different Motion Types in Video Data
* Latent-Space Scalability for Multi-Task Collaborative Intelligence
* Latent-Space Variational Bayes
* Latent Analysis of Earth Surface Dynamic Evolution Using Change Map Time Series, A
* Latent Bi-Constraint SVM for Video-Based Object Recognition
* Latent Boosting for Action Recognition
* Latent Class-Conditional Noise Model
* Latent Class Modeling for Site- and Non-Site-Specific Classification Accuracy Assessment Without Ground Data
* Latent classification models for binary data
* Latent Clothing Attribute Approach for Human Pose Estimation, A
* Latent Complete Row Space Recovery for Multi-View Subspace Clustering
* Latent Concept Extraction for Zero-Shot Video Retrieval
* Latent Constrained Correlation Filter
* Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities
* Latent Data Association: Bayesian Model Selection for Multi-target Tracking
* Latent Dictionary Learning for Sparse Representation Based Classification
* Latent Dirichlet Allocation for Spatial Analysis of Satellite Images
* Latent Dirichlet Allocation Models for Image Classification
* Latent Discriminant Deterministic Uncertainty
* Latent Distribution-Based 3D Hand Pose Estimation From Monocular RGB Images
* Latent Domain Generation for Unsupervised Domain Adaptation Object Counting
* Latent Elastic-Net Transfer Learning
* Latent Embedding Feedback and Discriminative Features for Zero-shot Classification
* Latent embeddings for collective activity recognition
* Latent Embeddings for Zero-Shot Classification
* Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition
* Latent Feature Disentanglement for Visual Domain Generalization
* Latent Feature Pyramid Network for Object Detection
* Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation
* Latent Fingerprint Core Point Prediction Based on Gaussian Processes
* Latent fingerprint detection and segmentation with a directional total variation model
* Latent fingerprint enhancement using Gabor and minutia dictionaries
* Latent Fingerprint Enhancement Using Generative Adversarial Networks
* Latent Fingerprint Image Enhancement Based on Progressive Generative Adversarial Network
* Latent Fingerprint Image Quality Assessment Using Deep Learning
* Latent Fingerprint Image Segmentation Using Fractal Dimension Features and Weighted Extreme Learning Machine Ensemble
* Latent Fingerprint Matching
* Latent Fingerprint Matching: Fusion of Rolled and Plain Fingerprints
* Latent Fingerprint Matching: Performance Gain via Feedback from Exemplar Prints
* Latent fingerprint persistence: A new temporal feature space for forensic trace evidence analysis
* Latent Gaussian Mixture Regression for Human Pose Estimation
* Latent Gaussian Model Boosting
* Latent Generative Replay for Resource-Efficient Continual Learning of Facial Expressions
* Latent Graph Representations for Critical View of Safety Assessment
* Latent Hazard Notification for Highly Automated Driving: Expected Safety Benefits and Driver Behavioral Adaptation
* Latent Heat Flux in the Agulhas Current
* Latent Heterogeneous Graph Network for Incomplete Multi-View Learning
* Latent Hierarchical Model of Temporal Structure for Complex Activity Classification
* Latent Hierarchical Part Based Models for Road Scene Understanding
* Latent hierarchical structural learning for object detection
* Latent Hough Transform for Object Detection
* Latent IBP Compound Dirichlet Allocation
* Latent Identity Variables: Biometric Matching Without Explicit Identity Estimation
* Latent label mining for group activity recognition in basketball videos
* Latent Layout Analysis for Discovering Objects in Images
* Latent Linear Discriminant Analysis for feature extraction via Isometric Structural Learning
* Latent Linear Dynamics for Modeling Pedestrian Behaviors
* Latent Log-Linear Models for Handwritten Digit Classification
* Latent Low-Rank Projection Learning with Graph Regularization for Feature Extraction of Hyperspectral Images
* Latent Low-Rank Representation for subspace segmentation and feature extraction
* Latent low-rank representation sparse regression model with symmetric constraint for unsupervised feature selection
* Latent max-margin metric learning for comparing video face tubes
* Latent Max-Margin Multitask Learning with Skelets for 3-D Action Recognition
* Latent Mixture of Discriminative Experts
* Latent mixture vocabularies for object categorization and segmentation
* Latent Mixture Vocabularies for Object Categorization
* Latent Model Clustering and Applications to Visual Recognition
* Latent Model for Visual Disambiguation of Keyword-based Image Search, A
* latent model of discriminative aspect, A
* Latent motion spaces for full-body motion editing
* Latent multi-feature co-regression for visual recognition by discriminatively leveraging multi-source models
* Latent Multi-view Subspace Clustering
* Latent Multitask Learning for View-Invariant Action Recognition
* Latent Palmprint Matching
* Latent Partition Implicit with Surface Codes for 3D Representation
* Latent Pose Estimator for Continuous Action Recognition
* Latent Preserving Generative Adversarial Network for Imbalance Classification
* Latent Pyramidal Regions for Recognizing Scenes
* Latent RANSAC
* Latent regression Bayesian network for data representation
* Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture
* Latent Regression Forest: Structured Estimation of 3D Hand Poses
* Latent Relationship Guided Stacked Sparse Autoencoder for Hyperspectral Imagery Classification
* Latent Representation in Human-Robot Interaction With Explicit Consideration of Periodic Dynamics
* Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data
* Latent Representation Learning Model for Multi-Band Images Fusion via Low-Rank and Sparse Embedding
* Latent reweighting, an almost free improvement for GANs
* Latent Semantic Association for Medical Image Retrieval
* Latent semantic learning with structured sparse representation for human action recognition
* Latent Semantic Minimal Hashing for Image Retrieval
* Latent Semantic Sequence Coding Applied to Taxi Travel Time Estimation
* Latent Semantics Local Distribution for CRF-based Image Semantic Segmentation
* Latent Space Autoregression for Novelty Detection
* Latent Space Geometric Statistics
* Latent space mapping for generation of object elements with corresponding data annotation
* Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance, A
* Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation
* Latent Space Semantic Supervision Based on Knowledge Distillation for Cross-Modal Retrieval
* Latent Space Smoothing for Individually Fair Representations
* Latent Space Sparse Subspace Clustering
* Latent Space Understandable Generative Adversarial Network: SelfExGAN, A
* Latent structural SVM with marginal probabilities for weakly labeled structured learning
* Latent Structure Preserving Hashing
* Latent structured models for human pose estimation
* Latent Style Model: Discovering writing styles for calligraphy works
* Latent subcategory models for pedestrian detection with partial occlusion handling
* Latent Subspace Projection Pursuit with Online Optimization for Robust Visual Tracking
* Latent support vector machine for sign language recognition with Kinect
* Latent SVM for Object Localization in Weakly Labeled Videos
* Latent SVMs for Human Detection with a Locally Affine Deformation Field
* Latent Task Adaptation with Large-Scale Hierarchies
* Latent to Latent: A Learned Mapper for Identity Preserving Editing of Multiple Face Attributes in StyleGAN-generated Images
* Latent Topic-aware Multi-label Classification
* latent topic-aware network for dense video captioning, A
* Latent Topic Encoding for Content-Based Retrieval
* Latent topic model-based group activity discovery
* Latent topic model for audio retrieval
* Latent topic random fields: Learning using a taxonomy of labels
* Latent topics-based relevance feedback for video retrieval
* Latent transformations neural network for object view synthesis
* Latent Transformations via NeuralODEs for GAN-based Image Editing
* Latent Transformer for Disentangled Face Editing in Images and Videos, A
* Latent trees for estimating intensity of Facial Action Units
* Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP)
* Latent Variable Models for Visual Question Answering
* Latent Vector Prototypes Guided Conditional Face Synthesis
* Latent visual context analysis for image re-ranking
* Latent visual context learning for web image applications
* LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions
* LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
* Latentgaze: Cross-domain Gaze Estimation Through Gaze-aware Analytic Latent Code Manipulation
* LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies
* LatentPatch: A Non-Parametric Approach for Face Generation and Editing
* LatentSwap3D: Semantic Edits on 3D Image GANs
* Lateral and Depth Calibration of PMD-Distance Sensors
* Lateral Border of a Small River Plume: Salinity Structure, Instabilities and Mass Transport
* Lateral control assistance in car driving: Classification, review and future prospects
* Lateral Control for Vehicles
* Lateral control system for vehicle platoon considering vehicle dynamic characteristics
* Lateral Directional Axis Control of Aircraft Based on TECS
* Lateral Distance Detection Model Based on Convolutional Neural Network
* Lateral Flooding Associated To Wave Flood Generation On River Surface
* Lateral Histograms for Efficient Object Location: Speed Versus Ambiguity
* Lateral Offset Quality Rating along Low Slip Rate Faults: Application to the Alhama de Murcia Fault (SE Iberian Peninsula)
* Lateral stability enhancement based on a novel sliding mode prediction control for a four-wheel-independently actuated electric vehicle
* Lateral Strain Imaging Using Self-Supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography
* Lateral superresolution using a posteriori phase shift estimation for a moving object: experimental results
* Lateral suppression of mesopic rod and cone flicker detection
* Lateral Touch Detection and Localization for Interactive, Augmented Planar Surfaces
* lateral trajectory tracking control method for intelligent commercial vehicles considering active anti-roll decision based on Stackelberg equilibrium, A
* Lateral Vehicle State and Environment Estimation Using Temporally Previewed Mapped Lane Features
* Lateral Vehicle Trajectory Optimization Using Constrained Linear Time-Varying MPC
* LaTeRF: Label and Text Driven Object Radiance Fields
* Latest Advances in the Global Navigation Satellite System: Reflectometry (GNSS-R) Field
* Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003-2020
* Latest Desertification Process and Its Driving Force in Alxa League from 2000 to 2020, The
* Latest Developments Of The Isprs Student Consortium
* Latest Geodetic Changes of Austre Lovénbreen and Pedersenbreen, Svalbard
* Latest Multimedia Research from ISM 2016, The
* Latest Research at the Advanced Displays Laboratory at NTU
* Latest research in computer vision: A special issue on VI 2002
* LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images
* LatinX in CV Research
* Latnet Fingerprint Recognition, Analysis
* LATR: 3D Lane Detection from Monocular Images with Transformer
* LaTr: Layout-Aware Transformer for Scene-Text VQA
* Lattice-Based Anomaly Rectification for Sport Video Annotation
* Lattice-Based High-Dimensional Gaussian Filtering and the Permutohedral Lattice
* Lattice-Based Method for Keyword Spotting in Online Chinese Handwriting, A
* Lattice-Based Minimal Gray-Scale Switching Algorithm for Obtaining the Optimal Increasing Filter from the Optimal Filter, A
* Lattice-based MRF model for Dynamic Near-regular Texture Tracking and Manipulation, A
* Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking, A
* Lattice-Based Patterned Fabric Inspection by Using Total Variation with Sparsity and Low-Rank Representations
* Lattice-Based Screen Set: Square N -Color All-Orders Moire-Free Screen Set, The
* Lattice-Based Threshold Signcryption for Blockchain Oracle Data Transmission
* Lattice-Boltzmann Water Waves
* Lattice-Constrained Stratified Sampling for Point Cloud Levels of Detail
* Lattice-Preserving Multigrid Method for Solving the Inhomogeneous Poisson Equations Used in Image Analysis, A
* Lattice-Support repetitive local feature detection for visual search
* Lattice-Theoretic Approach for Segmentation of Truss-Like Porous Objects in Outdoor Aerial Scenes, A
* Lattice-Theoretical Fixpoint Theorems in Morphological Image Filtering
* Lattice-Theoretical Framework for Annular Filters in Morphological Image Processing, A
* Lattice-Theoretical Morphological View on Template Extraction in Images, A
* Lattice Algebra Approach to Color Image Segmentation
* Lattice Approach to Image Segmentation, A
* Lattice Based Dendritic Computing: A Biomimetic Approach to ANNs
* Lattice Boltzmann Method Based Medical Image Denoising and Enhancement, A
* Lattice Boltzmann Method Based Medical Image Segmentation
* Lattice Boltzmann Method for Image Denoising, A
* Lattice Boltzmann Method of Active Contour for Image Segmentation
* Lattice Boltzmann Model for Rotationally Invariant Dithering, A
* Lattice Boltzmann Models for Anisotropic Diffusion of Images
* Lattice Boltzmann Models for Nonlinear Diffusion Filtering
* lattice computing approach for on-line fMRI analysis, A
* Lattice Cut: Constructing superpixels using layer constraints
* Lattice estimation from images of patterns that exhibit translational symmetry
* Lattice Filters Based on the Delta-Operator
* Lattice Framework for Integrating Vision Modules, A
* Lattice Identification and Separation: Theory and Algorithm
* Lattice Image Processing: A Unification of Morphological and Fuzzy Algebraic Systems
* Lattice Kalman Filters
* Lattice Labeling Algorithms for Vector Quantization
* Lattice Long Short-Term Memory for Human Action Recognition
* Lattice Metric Space Application to Grain Defect Detection
* Lattice Network for Lightweight Image Restoration
* Lattice of Octagonal Distances in Digital Geometry
* Lattice Quad-Tree Indexing Algorithm for a Hexagonal Discrete Global Grid System
* Lattice Quantizers: Entropy Reduction by Proper Tie-Handling
* Lattice Structure for Generalized-Support Multidimensional Linear Phase Perfect Reconstruction Filter Bank
* Lattice Structure for Regular Linear Phase Paraunitary Filter Bank With Odd Decimation Factor
* Lattice theory approach to metastatic disease patterns in autopsied human patients: Application to metastatic neuroblastoma
* lattice vector quantizer for generalized Gaussian sources, A
* lattice width and quasi-straightness in digital spaces, The
* Latticenet: Towards Lightweight Image Super-resolution with Lattice Block
* LAU-Net: A low light image enhancer with attention and resizing mechanisms
* LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-resolution
* Laughing Machine: Predicting Humor in Video, The
* Laughter and Smiling in 16 Positive Emotions
* Laughter and Tickles: Toward Novel Approaches for Emotion and Behavior Elicitation
* Laughter induction techniques suitable for generating motion capture data of laughter associated body movements
* Launch monitor system with a calibration fixture and a method for use thereof
* Lautum Regularization for Semi-Supervised Transfer Learning
* Lava Dome Changes Detection At Agung Mountain During High Level Of Volcanic Activity Using UAV Photogrammetry
* Lava emplacement mapping with SAR and optical satellite data
* Lava Flows, Eruptions Volcanoes, Thermal
* Lava Volume from Remote Sensing Data: Comparisons with Reverse Petrological Approaches for Two Types of Effusive Eruption
* LAVA:Label-efficient Visual Learning and Adaptation
* Laval University
* Lavatube: A Software Framework for Computer Vision Research and Development
* LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling
* Lavic Lake Fault: A Long-Term Cumulative Slip Analysis via Combined Field Work and Thermal Infrared Hyperspectral Airborne Remote Sensing, The
* LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
* LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts
* Law Is Order: Protecting Multimedia Network Transmission by Game Theory and Mechanism Design
* LaWeCo: Active region detection in non-uniformly sampled data using Laplacian-weighted covariance
* Lawrence Berkeley National Laboratory
* Layer-Adaptive Mode Decision and Motion Search for Scalable Video Coding with Combined Coarse Granular Scalability (CGS) and Temporal Scalability
* Layer-Aligned Multipriority Rateless Codes for Layered Video Streaming
* Layer-Aware Forward Error Correction for Mobile Broadcast of Layered Media
* Layer-Based Approach for Image Pair Fusion
* Layer-based binarization for textual images
* Layer-based image completion by poisson surface reconstruction
* Layer-Based Mannequin Reconstruction and Parameterization from 3D Range Data
* Layer-Based Morphing
* Layer-Based Restoration Framework for Variable-Aperture Photography, A
* Layer-based video registration
* Layer-correlated motion estimation and motion vector coding for the 3d-wavelet video coding
* Layer-finding in radar echograms using probabilistic graphical models
* Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection
* Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation
* Layer-Specific Optimization for Mixed Data Flow With Mixed Precision in FPGA Design for CNN-Based Object Detectors
* Layer-Structured 3D Scene Inference via View Synthesis
* Layer-Wise Adaptive Updating for Few-Shot Image Classification
* Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs
* Layer-Wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object Detection
* Layer-Wise Data-Free CNN Compression
* Layer-Wise Geometry Aggregation Framework for Lossless LiDAR Point Cloud Compression
* Layer-Wise Invertibility for Extreme Memory Cost Reduction of CNN Training
* Layer-Wise Relevance Propagation Based Sample Condensation for Kernel Machines
* Layer-wise Searching for 1-bit Detectors
* Layer-Wise Weight Decay for Deep Neural Networks
* Layer-wised Model Aggregation for Personalized Federated Learning
* Layer Assignment Based on Depth Data Distribution for Multiview-Plus-Depth Scalable Video Coding
* Layer Based Multiple Description Packetized Coding
* Layer Depth Denoising and Completion for Structured-Light RGB-D Cameras
* Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification
* Layer Extraction from Multiple Images Containing Reflections and Transparency
* Layer extraction in rodent retinal images acquired by optical coherence tomography
* Layer Extraction with a Bayesian Model of Shapes
* Layer Importance Estimation with Imprinting for Neural Network Quantization
* Layer Pruning for Obtaining Shallower ResNets
* Layer Removal Scheme for Atmospheric Correction of Satellite Ocean Color Data in Coastal Regions, A
* Layer Separation via a Spatial-Attention GAN
* Layer Stripping Approach for EM Reconstruction of Stratified Media, A
* Layer the sphere
* LayerCAM: Exploring Hierarchical Class Activation Maps for Localization
* LayerDoc: Layer-wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents
* Layered-based exposure fusion algorithm
* Layered-garment Net: Generating Multiple Implicit Garment Layers from a Single Image
* Layered-givens transforms: Tunable complexity, high-performance approximation of optimal non-separable transforms
* Layered-Modeling of Affective and Sensory Experiences using Structural Equation Modeling: Touch Experiences of Plastic Surfaces as an Example
* Layered-web Interface Based on HBIM and 360° Panoramas For Historical, Material and Geometric Analysis, A
* Layered 4D representation and voting for grouping from motion
* Layered Abduction Model of Building Recognition, A
* Layered access control for MPEG-4 FGS video
* Layered Active Appearance Models
* Layered Active Contours for Tracking
* Layered Approach to Stereo Reconstruction, A
* Layered Architecture for the Control of Micro Saccadic Tracking of a Stereo Camera Head
* Layered coded vs. multiple description coded video over error-prone networks
* Layered coding for ATM based video distribution systems
* Layered Coding for Mobile Cloud Gaming Using Scalable Blinn-Phong Lighting
* layered coding system for very low bit rate video coding, A
* Layered compression for high-precision depth data
* Layered compression for high dynamic range depth
* Layered Conceptual Image Compression Via Deep Semantic Synthesis
* Layered Control of a Binocular Camera Head
* Layered Controllable Video Generation
* Layered Data Association Using Graph-Theoretic Formulation with Application to Tennis Ball Tracking in Monocular Sequences
* Layered DCT coder for Internet video, A
* Layered DCT Still Image Compression
* Layered Deformable Model for Gait Analysis, A
* Layered Depth Image Based HEVC Multi-view Codec
* Layered Depth Panoramas
* Layered Depth Refinement with Mask Guidance
* Layered detection for multiple overlapping objects
* Layered Dynamic Textures
* Layered Embeddings for Amodal Instance Segmentation
* Layered Encryption for Scalable Video Coding
* Layered Fingerprint Recognition Method, A
* Layered Graph Match with Graph Editing
* Layered graph matching by composite cluster sampling with collaborative and competitive interactions
* Layered Graph Matching with Composite Cluster Sampling
* Layered Graphical Models for Tracking Partially Occluded Objects
* Layered ground truth: Conveying structural and statistical information for document image analysis and evaluation
* Layered H.264 video transmission with hierarchical QAM
* Layered image coding using the DCT pyramid
* Layered image model using binary PCA transparency masks
* Layered image resizing in compression domain
* Layered Image Transmission With Quality Pre-specifiable Jpeg2000
* Layered Internet Video Adaptation (LIVA): Network-Assisted Bandwidth Sharing and Transient Loss Protection for Video Streaming
* Layered light-field rendering with focus measurement
* Layered Local Prediction Network with Dynamic Learning for Face Super-resolution
* Layered Mean Shift Methods
* layered method for determining manga text bubble reading order, A
* layered method of visibility resolving in depth image-based rendering, A
* Layered Model of Human Body and Garment Deformation, A
* Layered modeling and generation of Pollock's drip style
* Layered motion estimation and coding for fully scalable 3D wavelet video coding
* Layered Motion Representation with Occlusion and Compact Spatial Support, A
* Layered motion segmentation and depth ordering by tracking edges
* Layered moving-object segmentation for stereoscopic video using motion and depth information
* Layered Multicast Encryption of Motion JPEG2000 Code Streams for Flexible Access Control
* Layered Multicast With Inter-Layer Network Coding for Multimedia Streaming
* Layered Multitask Tracker via Spatial-Temporal Laplacian Graph
* Layered Neighborhood Expansion for Incremental Multiple Graph Matching
* Layered Network for Correspondence of 3-D Objects, A
* Layered object categorization
* Layered object detection for multi-class segmentation
* Layered Object Models for Image Segmentation
* Layered optical tomography of multiple scattering media with combined constraint optimization
* Layered Predictive Coding of Time-Consistent Dynamic 3D Meshes using a Non-Linear Predictor
* Layered RC Circuit Model for Background Subtraction
* Layered RC circuit with dynamic resistances for background subtraction
* Layered Recognition Cone Networks That Preprocess Classify and Describe
* Layered Representation for Model-Based Filtering and Recognition, A
* Layered Representation for Motion Analysis
* Layered Representation for Pedestrian Detection and Tracking in Infrared Imagery
* Layered Representation of Motion Video Using Robust Maximum-Likelihood Estimation of Mixture Models and MDL Encoding
* Layered Representation of Scenes Based on Multiview Image Analysis
* Layered representations for learning and inferring office activity from multiple sensory channels
* Layered Representations for Vision and Video
* Layered RGBD scene flow estimation
* Layered Scene Decomposition via the Occlusion-CRF
* Layered Scene Reconstruction from Multiple Light Field Camera Views
* Layered Search Spaces for Accelerating Large Set Character Recognition
* Layered segmentation and optical flow estimation over time
* Layered Self-Organizing Map for Image Classification in Unrestricted Domains
* Layered Self-organizing Maps based Video Content Classification
* Layered sEMG-FMG Hybrid Sensor for Hand Motion Recognition From Forearm Muscle Activities, A
* Layered set partitioning in hierarchical tree for image coding
* Layered shape grammars for procedural modelling of buildings
* Layered shape matching and registration: Stochastic sampling with hierarchical graph representation
* Layered Soft Video Broadcast for Heterogeneous Receivers
* Layered SOTIF Analysis and 3 sigma-Criterion-Based Adaptive EKF for Lidar-Based Multi-Sensor Fusion Localization System on Foggy Days
* layered stereo algorithm using image segmentation and global visibility constraints, A
* layered stereo matching algorithm using image segmentation and global visibility constraints, A
* Layered Surface Detection for Virtual Unrolling
* Layered transmission of signals over power-constrained wireless channels
* Layered unequal loss protection with pre-interleaving for progressive image transmission over packet loss channels
* Layered Video Object Coding System Using Sprite and Affine Motion Model, A
* Layered video transmission over wireless multirate DS-CDMA links
* Layered Volume Splatting
* Layered wireless video multicast using directional relays
* Layered Wireless Video Multicast Using Relays
* Layered Wireless Video Relying on Minimum-Distortion Inter-Layer FEC Coding
* Layered Wyner-Ziv Video Coding
* Layering-based Color Filter Array Interpolation
* LayerNet: High-Resolution Semantic 3D Reconstruction of Clothed People
* LayerP2P: Using Layered Video Chunks in P2P Live Streaming
* Layerwise Class-Aware Convolutional Neural Network
* Layerwise Optimization by Gradient Decomposition for Continual Learning
* Laying the Foundations of Deep Long-term Crowd Flow Prediction
* Layout-based Causal Inference for Object Navigation
* Layout-Based Document-Retrieval System by Radon Transform Using Dynamic Time Warping
* Layout-Bridging Text-to-Image Synthesis
* Layout-Graph Reasoning for Fashion Landmark Detection
* Layout-guided Indoor Panorama Inpainting with Plane-aware Normalization
* Layout-Guided Novel View Synthesis from a Single Indoor Panorama
* Layout-Induced Video Representation for Recognizing Agent-in-Place Actions
* Layout-to-Image Translation With Double Pooling Generative Adversarial Networks
* Layout Analysis for Arabic Historical Document Images Using Machine Learning
* Layout Analysis for Historical Manuscripts Using Sift Features
* Layout analysis of book pages
* Layout Analysis of Complex Documents
* Layout Analysis of Handwritten Historical Documents for Searching the Archive of the Cabinet of the Dutch Queen
* Layout and Content Extraction for PDF Documents
* Layout and Context Understanding for Image Synthesis with Scene Graphs
* Layout and language: exploring text block discovery in tables using linguistic resources
* Layout and Language: Preliminary Investigations in Recognizing the Structure of Tables
* Layout based document image retrieval by means of XY tree reduction
* Layout Based Information Extraction from HTML Documents
* Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects, The
* Layout Estimation of Highly Cluttered Indoor Scenes Using Geometric and Semantic Cues
* Layout Extraction of Mixed-Mode Documents
* Layout indexing of trademark images
* Layout of Multiple Views for Volume Visualization: A User Study
* Layout Plan Analysis on Urban Pathways, Nodes and Edges in Kuala Muda Fishing Village
* Layout Recognition of Multi-Kinds of Table-Form Documents
* Layout2: A Production System Modeling Visual Perspective Information
* Layout2image: Image Generation from Layout
* LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation
* LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
* LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
* LayoutDM: Transformer-based Diffusion Model for Layout Generation
* LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction
* LayoutGAN: Synthesizing Graphic Layouts With Vector-Wireframe Adversarial Networks
* LayoutGMN: Neural Graph Matching for Structural Layout Similarity
* LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
* LayoutTransformer: Layout Generation and Completion with Self-attention
* LayoutTransformer: Scene Layout Generation with Conceptual and Spatial Diversity
* LayoutVAE: Stochastic Scene Layout Generation From a Label Set
* Layover Analysis in Synthetic Aperture Imagery
* Layover Compensation Method for Regional Spaceborne SAR Imagery Without GCPs
* Layover Detection Using Neural Network Based on Expert Knowledge
* Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning
* Lazy Approach to Long-Horizon Gradient-Based Meta-Learning, A
* lazy bagging approach to classification, A
* Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models, The
* Lazy Generic Cuts
* Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration, A
* Lazy Nonlinear Diffusion Parameter Estimation
* Lazy Random Walks for Superpixel Segmentation
* Lazy Sliding Window Implementation of the Bilateral Filter on Parallel Architectures
* Lazy texture selection based on active learning
* LazyNav: 3D ground navigation with non-critical body parts
* LazySOM: Image Compression Using an Enhanced Self-Organizing Map
* LB-LSD: A length-based line segment detector for real-time applications
* LB-NERF: Light Bending Neural Radiance Fields for Transparent Medium
* LBGS: a smart approach for very large data sets vector quantization
* LBKENET: lightweight Blur Kernel Estimation Network for Blind Image Super-resolution
* LBlockchainE: A Lightweight Blockchain for Edge IoT-Enabled Maritime Transportation Systems
* LBO-Shape densities: A unified framework for 2D and 3D shape classification on the hypersphere of wavelet densities
* LBO-Shape Densities: Efficient 3D Shape Retrieval Using Wavelet Density Estimation
* LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation, An
* LBP-based biometric hashing scheme for human authentication
* LBP-Based Edge-Texture Features for Object Recognition
* LBP-based periocular recognition on challenging face datasets
* LBP-based progressive feature aggregation network for low-light image enhancement
* LBP-Based Segmentation of Defocus Blur
* LBP-Flow and Hybrid Encoding for Real-Time Water and Fire Classification
* LBP-guided active contours
* LBP-Motivated Colour Texture Classification
* LBP-Structure Optimization With Symmetry and Uniformity Regularizations for Scene Classification
* LBP-TOP Based Countermeasure against Face Spoofing Attacks
* LBP-TOP for Volume Lesion Classification in Breast DCE-MRI
* LBP-TOP: A Tensor Unfolding Revisit
* LBP and Irregular Graph Pyramids
* LBP Based Line-Wise Script Identification
* LBP Channels for Pedestrian Detection
* LBP Discriminant Analysis for Face Verification
* LBP Encoding Schemes Jointly Utilizing the Information of Current Bit and Other LBP Bits
* LBP features for breast cancer detection
* LBP histogram selection for supervised color texture classification
* LBP with Six Intersection Points: Reducing Redundant Information in LBP-TOP for Micro-expression Recognition
* LBPV descriptors-based automatic ACR/BIRADS classification approach
* LBS Augmented Reality Assistive System For Utilities Infrastructure Management Through Galileo And Egnos
* LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds
* LBS Tag Cloud: A Centralized Tag Cloud for Visualization of Points of Interest in Location-Based Services
* LBT Based Low Complexity Image Compression Method
* LC-BiDet: Laterally Connected Binary Detector with Efficient Image Processing
* LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network
* LC-MSM: Language-Conditioned Masked Segmentation Model for unsupervised domain adaptation
* LCANet: End-to-End Lipreading with Cascaded Attention-CTC
* LCANet: Learnable Connected Attention Network for Human Identification Using Dental Images
* LCBM: A Multi-View Probabilistic Model for Multi-Label Classification
* LCCNet: LiDAR and Camera Self-Calibration using Cost Volume Network
* LCCStyle: Arbitrary Style Transfer With Low Computational Complexity
* LCD Motion Blur Modeling and Analysis
* LCD motion blur reduction using fir filter banks
* LCD Motion Blur Reduction: A Signal Processing Approach
* LCD Motion Blur: Modeling, Analysis, and Algorithm
* LCD: Line Clustering and Description for Place Recognition
* LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems
* LCEval: Learned Composite Metric for Caption Evaluation
* LCIF-Net: Local criss-cross attention based optical flow method using multi-scale image features and feature pyramid
* LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification
* LCMV: Lightweight Classification Module for Video Domain Adaptation
* LCNME: Label Correction Using Network Prediction Based on Memorization Effects for Cross-Modal Retrieval With Noisy Labels
* LCNN: Lookup-Based Convolutional Neural Network
* LCNS Positioning of a Lunar Surface Rover Using a DEM-Based Altitude Constraint
* LCO: Lightweight Convolution Operators for fast tracking
* LCOMS Lab's approach to the Vision For Vitals (V4V) Challenge
* LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
* LCR-Net: Localization-Classification-Regression for Human Pose
* LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images
* LCReg: Long-tailed image classification with Latent Categories based Recognition
* LCrowdV: Generating Labeled Videos for Simulation-Based Crowd Behavior Learning
* LCS: Learning Compressible Subspaces for Efficient, Adaptive, Real-Time Network Compression at Inference Time
* LCSCNet: Linear Compressing-Based Skip-Connecting Network for Image Super-Resolution
* LCSegNet: An Efficient Semantic Segmentation Network for Large-Scale Complex Chinese Character Recognition
* LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation
* Lcuts: Linear Clustering of Bacteria Using Recursive Graph Cuts
* LD-CNN: A Lightweight Dilated Convolutional Neural Network for Environmental Sound Classification
* LD-ConGR: A Large RGB-D Video Dataset for Long-Distance Continuous Gesture Recognition
* LD-GAN: Learning perturbations for adversarial defense based on GAN structure
* LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization
* LD-MAN: Layout-Driven Multimodal Attention Network for Online News Sentiment Recognition
* LD-Net: A Lightweight Network for Real-Time Self-Supervised Monocular Depth Estimation
* LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation
* LDA-Based Compound Distance for Handwritten Chinese Character Recognition
* LDA-based Relative Hysteresis Classifier with Application to Segmentation of Retinal Vessels, An
* LDA based color information fusion for visual objects tracking
* LDA based compact and discriminative dictionary learning for sparse coding
* LDA in Face Recognition
* LDA
* LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation
* LDA/SVM Driven Nearest Neighbor Classification
* LDAHash: Improved Matching with Smaller Descriptors
* LDANet: A Lightweight Dynamic Addition Network for Rural Road Extraction from Remote Sensing Images
* LDAP: Lightweight Dynamic Auto-Reconfigurable Protocol in an IoT-Enabled WSN for Wide-Area Remote Monitoring
* LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables
* LDCformer: Incorporating Learnable Descriptive Convolution to Vision Transformer for Face Anti-Spoofing
* LDD: A Grape Diseases Dataset Detection and Instance Segmentation
* LDF-Net: Learning a Displacement Field Network for Face Recognition across Pose
* LDFA: Latent Diffusion Face Anonymization for Self-driving Applications
* LDFnet: Lightweight Dynamic Fusion Network for Face Forgery Detection by Integrating Local Artifacts and Global Texture Information
* LDFT-Based Watermarking Resilient to Local Desynchronization Attacks
* LDFUNet: Large-Kernel Convolution and Dynamic Fusion Network for Superpixel Segmentation
* LDGAN: A Synthetic Aperture Radar Image Generation Method for Automatic Target Recognition
* LDGAN: Latent Determined Ensemble Helps Removing IID Data Assumption and Cross-Node Sampling in Distributed GANs
* LDGM codes for joint source-channel coding of correlated sources
* LDL: Line Distance Functions for Panoramic Localization
* LDMNet: Low Dimensional Manifold Regularized Neural Networks
* LDnADMM-Net: A Denoising Unfolded Deep Neural Network for Direction-of-Arrival Estimations in A Low Signal-to-Noise Ratio
* LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor
* LDP-Feat: Image Features with Local Differential Privacy
* LDPC-Based Iterative Joint Source-Channel Decoding for JPEG2000
* LDR-LLE: LLE with Low-Dimensional Neighborhood Representation
* LDR images generation with JPEG-XT decoded HDR images
* LDS-Inspired Residual Networks
* LDSNE: Learning Structural Network Embeddings by Encoding Local Distances
* LDV Remote Voice Acquisition and Enhancement
* LDV Sensing and Processing for Remote Hearing in a Multimodal Surveillance System
* LDWS-net: A learnable deep wavelet scattering network for RGB salient object detection
* Le-BEiT: A Local-Enhanced Self-Supervised Transformer for Semantic Segmentation of High Resolution Remote Sensing Images
* LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation
* Le Corbusier's Apartment-studio: 3D Model Data of Preliminary Research for the Restoration
* LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions
* Leachable Component Clustering
* Lead-Induced Changes in Fluorescence and Spectral Characteristics of Pea Leaves
* Lead Detection in Polar Oceans: A Comparison of Different Classification Methods for Cryosat-2 SAR Data
* LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity
* Leader-Based Multi-Scale Attention Deep Architecture for Person Re-Identification
* Leader-Follower Consensus in Mobile Sensor Networks
* Leader-Follower Trajectory Control for Quadrotors via Tracking Differentiators and Disturbance Observers
* Leader-following consensus of linear multi-agent systems with state-observer under switching topologies
* Leader-following rendezvous with connectivity preservation of single-integrator multi-agent systems
* Leader and Leaderless Multi-Layer Consensus With State Obfuscation: An Application to Distributed Speed Advisory Systems
* Leader selection and following in dynamic environments
* Leaders-Subleaders: An efficient hierarchical clustering algorithm for large data sets
* Leaders and Followers Identified by Emotional Mimicry During Collaborative Learning: A Facial Expression Recognition Study on Emotional Valence
* Leading Cruise Control in Mixed Traffic Flow: System Modeling, Controllability, and String Stability
* Leading Progress in Digital Terrain Analysis and Modeling
* Leaf-Based Plant Identification Through Morphological Characterization in Digital Images
* Leaf-Level Field Spectroscopy to Discriminate Invasive Species (Psidium guajava L. and Hovenia dulcis Thunb.) from Native Tree Species in the Southern Brazilian Atlantic Forest
* Leaf-Level Spectral Fluorescence Measurements: Comparing Methodologies for Broadleaves and Needles
* LEAF-QA: Locate, Encode Attend for Figure Question Answering
* Leaf Age Matters in Remote Sensing: Taking Ground Truth for Spectroscopic Studies in Hemiboreal Deciduous Trees with Continuous Leaf Formation
* Leaf and Canopy Level Detection of Fusarium Virguliforme (Sudden Death Syndrome) in Soybean
* Leaf and Wood Separation for Individual Trees Using the Intensity and Density Data of Terrestrial Laser Scanners
* Leaf Area Estimation by Semantic Segmentation of Point Cloud of Tomato Plants
* Leaf Area Index (LAI) Estimation in Boreal Mixedwood Forest of Ontario, Canada Using Light Detection and Ranging (LiDAR) and WorldView-2 Imagery
* Leaf Area Index (LAI) Estimation of Boreal Forest Using Wide Optics Airborne Winter Photos
* Leaf Area Index Estimation Algorithm for GF-5 Hyperspectral Data Based on Different Feature Selection and Machine Learning Methods
* Leaf Area Index Estimation in Vineyards from UAV Hyperspectral Data, 2D Image Mosaics and 3D Canopy Surface Models
* Leaf Area Index Estimation of Boreal and Subarctic Forests Using VV/HH ENVISAT/ASAR Data of Various Swaths
* Leaf Area Index Estimation of Pergola-Trained Vineyards in Arid Regions Based on UAV RGB and Multispectral Data Using Machine Learning Methods
* Leaf Area Index Retrieval Combining HJ1/CCD and Landsat8/OLI Data in the Heihe River Basin, China
* Leaf Area Index Retrieved From Thermal Hyperspectral Data
* Leaf Area Index Variations in Ecoregions of Ardabil Province, Iran
* Leaf Bidirectional Transmittance Distribution Function Estimates and Models for Select Deciduous Tree Species
* Leaf Canopy Layers Affect Spectral Reflectance in Silver Birch
* Leaf classification based on a quadratic curved axis
* Leaf Classification Using Convexity Measure of Polygons
* Leaf Classification Using Convexity Moments of Polygons
* Leaf classification using marginalized shape context and shape-texture dual-path deep convolutional neural network
* Leaf Counting with Deep Convolutional and Deconvolutional Networks
* Leaf Extraction from Complicated Background
* Leaf Image Classification with Shape Context and SIFT Descriptors
* Leaf image retrieval using combined feature of vein and contour
* Leaf margins as sequences: A structural approach to leaf identification
* Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques
* Leaf Nitrogen, Crop Nitrogen
* Leaf Optical Property Changes Associated with the Occurrence of Spartina alterniflora Dieback in Coastal Louisiana Related to Remote Sensing Mapping
* Leaf Recognition for Plant Classification Using Direct Acyclic Graph Based Multi-Class Least Squares Twin Support Vector Machine
* Leaf Segmentation and Tracking Using Probabilistic Parametric Active Contours
* Leaf Segmentation Based on k-Means Algorithm to Obtain Leaf Angle Distribution Using Terrestrial LiDAR
* Leaf segmentation in plant phenotyping: a collation study
* Leaf Segmentation under Loosely Controlled Conditions
* Leaf Segmentation, Its 3D Position Estimation and Leaf Classification from a Few Images with Very Close Viewpoints
* Leaf Species Classification Based on a Botanical Shape Sub-classifier Strategy
* Leaf Spectra Changes of Plants Grown in Soils Pre- and Post-Contaminated with Petroleum Hydrocarbons
* Leaf Spectral Analysis for Detection and Differentiation of Three Major Rice Diseases in the Philippines
* Leaf Spot Attention Network for Apple Leaf Disease Identification
* Leaf Surface Reflectance Does Not Affect Biophysical Traits Modelling from VIS-NIR Spectra in Plants with Sparsely Distributed Trichomes
* Leaf Vocabulary: Fine-Grained Leaf Image Retrieval Using Bag-of-Visual-Words Representation
* LeaF: Learning Frames for 4D Point Cloud Sequence Understanding
* Leafing Patterns and Drivers across Seasonally Dry Tropical Communities
* LeafMask: Towards Greater Accuracy on Leaf Segmentation
* Leafsnap
* Leafsnap: A Computer Vision System for Automatic Plant Species Identification
* Leakage-Based MMSE Beamforming Design for a MIMO Interference Channel, A
* Leakage suppression in human airway tree segmentation using shape optimization based on fuzzy connectivity method
* Leaking Fluids
* Leaks Detection in a Pipeline Using Artificial Neural Networks
* Leaky Gated Cross-Attention for Weakly Supervised Multi-Modal Temporal Action Localization
* Lean Crowdsourcing: Combining Humans and Machines in an Online System
* Lean Multiclass Crowdsourcing
* Leaning-Based 360° Interfaces: Investigating Virtual Reality Navigation Interfaces with Leaning-Based-Translation and Full-Rotation
* Leap Motion
* Leap segmentation for recovering image surface layout
* Leap signature recognition using HOOF and HOT features
* LEAP: Learning Articulated Occupancy of People
* Leapfrog Diffusion Model for Stochastic Trajectory Prediction
* Leaping Into Memories: Space-Time Deep Feature Synthesis
* Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model
* Learn-select-track: An approach to multi-object tracking
* Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
* Learn-to-Race: A Multimodal Control Environment for Autonomous Racing
* Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility
* Learn a Global Appearance Semi-Supervisedly for Synthesizing Person Images
* Learn by Oneself: Exploiting Weight-Sharing Potential in Knowledge Distillation Guided Ensemble Network
* Learn by Yourself: A Feature-Augmented Self-Distillation Convolutional Neural Network for Remote Sensing Scene Image Classification
* Learn Concepts in Multiple-Instance Learning with Diverse Density Framework Using Supervised Mean Shift
* Learn decision trees with deep visual primitives
* Learn Discriminant Features for Multi-View Face and Eye Detection
* Learn Distributed GAN with Temporary Discriminators
* Learn from All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
* Learn from each other to Classify better: Cross-layer mutual attention learning for fine-grained visual classification
* Learn from Object Counting: Crowd Counting with Meta-learning
* Learn from Others and Be Yourself in Heterogeneous Federated Learning
* Learn From the Past: Experience Ensemble Knowledge Distillation
* Learn from the past: Sequentially one-to-one video deblurring network
* Learn From Unpaired Data for Image Restoration: A Variational Bayes Approach
* Learn How to Choose: Independent Detectors Versus Composite Visual Phrases
* Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
* Learn More, Forget Less: Cues from Human Brain
* Learn More: Sub-Significant Area Learning for Fine-Grained Visual Classification
* Learn Sparse Dictionaries for Edit Propagation
* Learn TAROT with MENTOR: A Meta-Learned Self-supervised Approach for Trajectory Prediction
* Learn then match: A fast coarse-to-fine depth image-based indoor localization framework for dark environments via deep learning and keypoint-based geometry alignment
* Learn to abstract via concept graph for weakly-supervised few-shot learning
* Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition
* Learn to Cluster Faces via Pairwise Classification
* Learn to Combine Multiple Hypotheses for Accurate Face Alignment
* Learn to cycle: Time-consistent feature discovery for action recognition
* Learn to Detect: Improving the Accuracy of Earthquake Detection
* Learn to Extract Building Outline from Misaligned Annotation through Nearest Feature Selector
* Learn to Few-Shot Segment Remote Sensing Images from Irrelevant Data
* Learn to Match: Automatic Matching Network Design for Visual Tracking
* Learn to model blurry motion via directional similarity and filtering
* Learn to Move: Activity Specific Motion Models for Tracking by Detection
* Learn to Personalized Image Search From the Photo Sharing Websites
* Learn to Predict Sets Using Feed-Forward Neural Networks
* Learn to Propagate Reliably on Noisy Affinity Graphs
* Learn to Recover Visible Color for Video Surveillance in a Day
* Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting
* Learn to Search a Lightweight Architecture for Target-Aware Infrared and Visible Image Fusion
* Learn to Segment Retinal Lesions and Beyond
* Learn to synthesize and synthesize to learn
* Learn to Threshold: ThresholdNet With Confidence-Guided Manifold Mixup for Polyp Segmentation
* Learn to Track Edges
* Learn to Unlearn: Insights Into Machine Unlearning
* Learn to Zoom in Single Image Super-Resolution
* LEARN: Learned Experts: Assessment-Based Reconstruction Network for Sparse-Data CT
* Learn++ for Robust Object Tracking
* Learn++.MF: A random subspace approach for the missing feature problem
* Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition
* Learn2Dance: Learning Statistical Music-to-Dance Mappings for Choreography Synthesis
* Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness
* Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning
* Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective
* Learnable Adaptive Cosine Estimator (LACE) for Image Classification
* Learnable and Nonlearnable Visual Concepts
* Learnable Boundary Guided Adversarial Training
* Learnable Chamfer Distance for point cloud reconstruction
* Learnable Companding Quantization for Accurate Low-bit Neural Networks
* Learnable contextual regularization for semantic segmentation of indoor scene images
* Learnable Cost Volume Using the Cayley Representation
* Learnable Depth-Sensitive Attention for Deep RGB-D Saliency Detection with Multi-modal Fusion Architecture Search
* Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction
* Learnable Descriptors for Visual Search
* Learnable Distribution Calibration for Few-Shot Class-Incremental Learning
* Learnable dynamic margin in deep metric learning
* Learnable Empirical Mode Decomposition based on Mathematical Morphology
* Learnable EVC Intra Predictor Using Masked Convolutions, A
* Learnable Gated Convolutional Neural Network for Semantic Segmentation in Remote-Sensing Images
* Learnable Gradient operator for face presentation attack detection, A
* Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking
* Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion, A
* Learnable Hierarchical Label Embedding and Grouping for Visual Intention Understanding
* Learnable high-order MGRF models for contrast-invariant texture recognition
* Learnable Higher-Order Representation for Action Recognition
* Learnable Histogram: Statistical Context Features for Deep Neural Networks
* Learnable Human Mesh Triangulation for 3D Human Pose and Shape Estimation
* Learnable Information-Preserving Image Resizer for Face Forgery Detection
* Learnable interpolation and extrapolation network for fuzzy pulmonary lobe segmentation
* Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos
* Learnable Locality-Sensitive Hashing for Video Anomaly Detection
* Learnable Lookup Table for Neural Network Quantization
* Learnable low-rank latent dictionary for subspace clustering
* Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification
* Learnable Masks for Pose-Guided View Synthesis
* Learnable Motion Coherence for Correspondence Pruning
* Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection
* Learnable PINs: Cross-modal Embeddings for Person Identity
* Learnable Pixel Clustering Via Structure and Semantic Dual Constraints for Unsupervised Image Segmentation
* Learnable Pooling in Graph Convolutional Networks for Brain Surface Analysis
* Learnable Pooling Methods for Video Classification
* Learnable pooling weights for facial expression recognition
* Learnable Scatternet: Locally Invariant Convolutional Layers, A
* Learnable Skeleton-Aware 3D Point Cloud Sampling
* Learnable Snake R-CNN for Instance-Level Biomedical Image Segmentation
* Learnable Stroke Models for Example-based Portrait Painting
* Learnable Subspace Orthogonal Projection for Semi-supervised Image Classification
* learnable support selection scheme for boosting few-shot segmentation, A
* Learnable Triangulation of Human Pose
* Learnable Upsampling-Based Point Cloud Semantic Segmentation
* Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes
* Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection
* Learned Adaptive Nonlinear Filtering for Anisotropic Diffusion Approximation in Image Processing
* Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence
* Learned Block-Based Hybrid Image Compression
* Learned Collaborative Representations for Image Classification
* Learned Collaborative Stereo Refinement
* Learned Compression of High Dimensional Image Datasets
* Learned Compressive Representations for Single-Photon 3D Imaging
* Learned Contextual Feature Reweighting for Image Geo-Localization
* Learned Design of a Compressive Hyperspectral Imager for Remote Sensing by a Physics-Constrained Autoencoder
* Learned Discretization Schemes for the Second-order Total Generalized Variation
* Learned Dual-View Reflection Removal
* Learned Dynamic Guidance for Depth Image Reconstruction
* Learned Event-based Visual Perception for Improved Space Object Detection
* Learned Fast HEVC Intra Coding
* learned feature descriptor for efficient gender recognition using an RGB-D sensor, A
* Learned Focused Plenoptic Image Compression With Microimage Preprocessing and Global Attention
* Learned Greedy Method (LGM): A novel neural architecture for sparse coding and beyond
* Learned Hyperspectral Compression Using a Student's T Hyperprior
* Learned image and video compression with deep neural networks
* Learned Image Compression Guided Adaptive Quantization for Perceptual Quality
* Learned Image Compression Using Cross-Component Attention Mechanism
* Learned Image Compression with Channel-Wise Grouped Context Modeling
* Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules
* Learned Image Compression With Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
* Learned Image Compression with Large Capacity and Low Redundancy of Latent Representation
* Learned Image Compression with Mixed Transformer-CNN Architectures
* Learned Image Compression with Multi-Scale Spatial and Contextual Information Fusion
* Learned Image Compression with Soft Bit-Based Rate-Distortion Optimization
* Learned Image Compression with Super-Resolution Residual Modules and DISTS Optimization
* Learned Image Compression
* Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm
* Learned Image Downscaling for Upscaling Using Content Adaptive Resampler
* Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion
* Learned Initializations for Optimizing Coordinate-Based Neural Representations
* Learned Intrinsic Auto-Calibration From Fundamental Matrices
* Learned Joint Depth and Intensity Prior Using Markov Random Fields, A
* Learned Lexicon-Driven Interactive Video Retrieval
* Learned Lexicon-Driven Paradigm for Interactive Video Retrieval, A
* Learned Lossless Image Compression Through Interpolation With Low Complexity
* Learned Low-Rank Priors in Dynamic MR Imaging
* Learned Low Bit-rate Image Compression with Adversarial Mechanism
* Learned Low Bitrate Video Compression with Space-Time Super-Resolution
* Learned Model Composition With Critical Sample Look-Ahead for Semi-Supervised Learning on Small Sets of Labeled Samples
* Learned Models for Estimation of Rigid and Articulated Human Motion from Stationary or Moving Camera
* Learned Monocular Depth Priors in Visual-Inertial Initialization
* Learned Multi-patch Similarity
* Learned Multi-Resolution Variable-Rate Image Compression With Octave-Based Residual Blocks
* Learned Multi-View Texture Super-Resolution
* Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution
* Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images
* Learned Primal-Dual Reconstruction
* Learned probabilistic image motion models for event detection in videos
* Learned Progressive Image Compression With Dead-Zone Quantizers
* Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications
* Learned Queries for Efficient Local Attention
* Learned Rate-Distortion Cost Prediction for Ultrafast Screen Content Intra Coding
* Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications
* Learned Representation for Scalable Vector Graphics, A
* Learned Representation of Artist-Specific Colourisation, A
* Learned Representation of Satellite Image Series for Data Compression
* Learned Resolution Scaling Powered Gaming-as-a-Service at Scale
* Learned Reverse ISP with Soft Supervision
* Learned Scale-Arbitrary Image Downscaling for Non-Learnable Upscaling
* Learned Semantic Multi-Sensor Depth Map Fusion
* Learned Shape-Tailored Descriptors for Segmentation
* Learned Smartphone ISP on Mobile GPUS with Deep Learning, Mobile Ai & AIM 2022 Challenge: Report
* Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
* Learned Spatial Representations for Few-shot Talking-Head Synthesis
* Learned Templates for Feature Extraction in Fingerprint Images
* Learned Temporal Models of Image Motion
* Learned Tensor Low-CP-Rank and Bloch Response Manifold Priors for Non-Cartesian MRF Reconstruction
* Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection
* Learned Variational Video Color Propagation
* Learned Vertex Descent: A New Direction for 3D Human Model Fitting
* Learned Video Compression via Heterogeneous Deformable Compensation Network
* Learned Video Compression With Efficient Temporal Context Learning
* Learned Video Compression with Feature-level Residuals
* Learned Video Compression with Intra-Guided Enhancement and Implicit Motion Information
* Learned Video Compression With Residual Prediction And Feature-Aided Loop Filter
* Learned Video Compression
* Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates
* Learned Watershed: End-to-End Learning of Seeded Segmentation
* Learner excellence biased by data set selection: A case for data characterisation and artificial data sets
* Learners' Efficiency Prediction Using Facial Behavior Analysis
* LEARNet: Dynamic Imaging Network for Micro Expression Recognition
* Learning-Aided Inertial Odometry With Nonlinear State Estimator on Manifold
* Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling
* Learning-based Affine Registration of Histological Images
* Learning-Based Algal Bloom Event Recognition for Oceanographic Decision Support System Using Remote Sensing Data
* Learning-based algorithm selection for image segmentation
* Learning-based analysis of emotional impairments in schizophrenia
* Learning-Based Approach for Atmospheric Compensation of VNIR Hyperspectral Data
* Learning-based approach to boost detection rate and localisation accuracy in single molecule localisation microscopy
* Learning-Based Approach to Estimation of Morphable Model Parameters
* Learning-Based Approach to Parametric Rotoscoping of Multi-Shape Systems, A
* Learning-Based Approach to Real Time Tracking and Analysis of Faces
* Learning-Based Approach to Reduce JPEG Artifacts in Image Matting, A
* Learning-Based Atlas Selection for Multiple-Atlas Segmentation
* Learning-based automatic defect recognition with computed tomographic imaging
* Learning-Based Automation of Robotic Assembly for Smart Manufacturing
* Learning-Based Bipartite Graph Matching for View-Based 3D Model Retrieval
* Learning-Based Building Outline Detection from Multiple Aerial Images
* Learning-Based Candidate Segmentation Scoring for Real-Time Recognition of Online Overlaid Chinese Handwriting
* Learning-Based Cloth Material Recovery from Video
* Learning-Based Clutter Mitigation with Subspace Projection and Sparse Representation in Holographic Subsurface Radar Imaging
* Learning-based compression of visual objects for smart surveillance
* Learning-Based Compressive MRI
* Learning-based constitutive parameters estimation in an image sensing system with multiple mirrors
* Learning-Based Cooperative Multiagent Formation Control With Collision Avoidance
* Learning-Based Cost Functions for 3-D and 4-D Multi-Surface Multi-Object Segmentation of Knee MRI: Data From the Osteoarthritis Initiative
* Learning-based cursive handwriting synthesis
* Learning-based deformable registration of MR brain images
* Learning-based deformable registration using weighted mutual information
* Learning-based deformation estimation for fast non-rigid registration
* Learning-based depth estimation from 2D images using GIST and saliency
* Learning-Based Discretionary Lane-Change Decision-Making Model With Driving Style Awareness, A
* Learning-Based Driving Events Recognition and Its Application to Digital Roads
* Learning-based dynamic coupling of discrete and continuous trackers
* Learning-Based Early Transform Skip Mode Decision for VVC Screen Content Coding
* Learning-based encoding with soft assignment for age estimation under unconstrained imaging conditions
* Learning-Based End-to-End Video Compression with Spatial-Temporal Adaptation
* Learning-based face hallucination in DCT domain
* Learning-based Face Synthesis for Pose-robust Recognition from Single Image
* Learning-Based Filter Selection Scheme for Depth Image Super Resolution
* learning-based framework for depth ordering, A
* Learning-Based Framework for Error Compensation in 3D Printing, A
* Learning-Based Framework for Quantized Compressed Sensing, A
* Learning-Based Framework for Supervised and Unsupervised Image Segmentation Evaluation, A
* Learning-Based Hand Sign Recognition Using SHOSLIF-M
* Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images
* Learning-Based Hierarchical Graph for Unsupervised Matting and Foreground Estimation
* Learning-based human detection applied to RGB-D images
* learning-based hybrid tagging and browsing approach for efficient manual image annotation, A
* Learning-Based Hyperspectral Imagery Compression through Generative Neural Networks
* Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy
* Learning-Based Image Ground Segmentation Using Multiple Cues
* Learning-based image interpolation via robust k-NN searching for coherent AR parameters estimation
* Learning-Based Image Reconstruction via Parallel Proximal Algorithm
* Learning-based Image Registration with Meta-Regularization
* Learning-based image representation and method for face recognition
* Learning-based image restoration for compressed images
* Learning-Based Intent-Aware Task Offloading for Air-Ground Integrated Vehicular Edge Computing
* Learning-Based Inverse Dynamics of Human Motion
* Learning-based JNCD prediction for quality-wise perceptual quantization in HEVC
* Learning-Based Joint Super-Resolution and Deblocking for a Highly Compressed Image
* Learning-Based Just-Noticeable-Quantization- Distortion Modeling for Perceptual Video Coding
* Learning-Based Kinematic Control Using Position and Velocity Errors for Robot Trajectory Tracking
* Learning-Based License Plate Detection Using Global and Local Features
* Learning-Based Light Field View Synthesis for Efficient Transmission and Storage
* Learning-Based Lossless Point Cloud Geometry Coding Using Sparse Tensors
* Learning-Based Low-Complexity Reverse Tone Mapping With Linear Mapping
* learning-based method for compressive image recovery, A
* Learning-Based Method for Image Super-Resolution From Zoomed Observations, A
* Learning-based method for lane detection using regionlet representation
* Learning-Based Method for Solving Ill-Posed Nonlinear Inverse Problems: A Simulation Study of Lung EIT, A
* Learning-Based Method to Recognize and Localize Glassware Using Laser Range Images
* Learning-Based Microultrasound System for the Detection of Inflammation of the Gastrointestinal Tract, A
* Learning-based mitotic cell detection in histopathological images
* Learning-Based Multi-Frame Video Quality Enhancement
* Learning-Based Multi-Label Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy
* Learning-Based Multi-Robot Formation Control With Obstacle Avoidance
* Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion
* Learning-Based Noise Component Map Estimation for Image Denoising
* Learning-based non-rigid image registration using prior joint intensity distributions with graph-cuts
* Learning-Based Nonparametric Image Super-Resolution
* Learning-Based Number Recognition on Spiral Architecture
* Learning-based Object Detection in Cardiac MR Images
* Learning-Based Object Identification and Segmentation Using Dual-Energy CT Images for Security
* Learning-Based Object Segmentation Using Regional Spatial Templates and Visual Features
* Learning-Based Object Tracking Using Boosted Features and Appearance-Adaptive Models
* Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World
* Learning-Based Positive Feedback Approach in Salient Object Detection, A
* Learning-Based Prediction-and-Verification Segmentation Scheme for Hand Sign Image Sequence, A
* Learning-Based Prediction Model for Baby Accidents, A
* Learning-Based Prediction of Visual Attention for Video Signals
* Learning-Based QoE Prediction and Optimization for Video Streaming
* Learning-Based Quality Assessment for Image Super-Resolution
* Learning-Based Quality Control for Cardiac MR Images
* Learning-Based Rate Control for Learning-Based Point Cloud Geometry Coding
* Learning-Based Rate Control for Video-Based Point Cloud Compression
* Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation
* Learning-Based Resource Allocation for Backscatter-Aided Vehicular Networks
* Learning-Based Restoration of Backlit Images
* Learning-Based Robot Vision
* Learning-Based Sampling for Natural Image Matting
* Learning-Based Satisfied User Ratio Prediction for Symmetrically and Asymmetrically Compressed Stereoscopic Images
* Learning-Based Scalable Image Compression With Latent-Feature Reuse and Prediction
* Learning-Based Segmentation Framework for Tissue Images Containing Gene Expression Data
* Learning-Based Shadow Detection in Aerial Imagery Using Automatic Training Supervision from 3D Point Clouds
* Learning-Based Shadow Recognition and Removal From Monochromatic Natural Images
* Learning-Based Signal Parameter Extraction Approach for Multi-Source Frequency-Hopping Signal Sorting, A
* Learning-based single image dehazing via genetic programming
* Learning-Based Spatial-Temporal Superresolution Mapping of Forest Cover With MODIS Images
* Learning-based spatio-temporal vehicle tracking and indexing for transportation multimedia database systems
* Learning-Based Sub-Pixel Change Detection Using Coarse Resolution Satellite Imagery
* Learning-based super-resolution method with a combining of both global and local constraints
* Learning-Based Super-Resolution System Using Single Facial Image and Multi-resolution Wavelet Synthesis
* Learning-based super resolution using kernel partial least squares
* Learning-Based Superresolution Land Cover Mapping
* Learning-Based Symmetry Detection in Natural Images
* Learning-Based Tone Mapping Operator for Efficient Image Matching
* Learning-based tone mapping operator for image matching
* Learning-Based Traffic Scheduling in Non-Stationary Multipath 5G Non-Terrestrial Networks
* Learning-Based User Clustering and Link Allocation for Content Recommendation Based on D2D Multicast Communications
* learning-based variable size part extraction architecture for 6D object pose recovery in depth images, A
* Learning-Based Vehicle Detection Using Up-Scaling Schemes and Predictive Frame Pipeline Structures
* Learning-based ventricle detection from cardiac MR and CT images
* Learning-Based Vertebra Detection and Iterative Normalized-Cut Segmentation for Spinal MRI
* Learning-Based Video Motion Magnification
* Learning-based Visual Compression
* Learning-based word spotting system for Arabic handwritten documents
* Learning-Based, Automatic 2D-to-3D Image and Video Conversion
* Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze Estimation
* Learning-by-synthesis for accurate eye detection
* Learning-by-Synthesis for Appearance-Based 3D Gaze Estimation
* Learning-Compression Algorithms for Neural Net Pruning
* Learning-free handwritten word spotting method for historical handwritten documents
* Learning-Pattern Classification: A Survey
* Learning-to-Rank Approach for Image Color Enhancement, A
* Learning -- Conference Listing
* Learning 2D Hand Shapes Using the Topology Preservation Model GNG
* Learning 2D Shape Models
* Learning 3-D Face Shape From Diverse Sources With Cross-Domain Face Synthesis
* Learning 3-D Scene Structure from a Single Still Image
* Learning 3D-Aware Image Synthesis with Unknown Pose Distribution
* Learning 3D-Craft Generation with Predictive Action Neural Network
* Learning 3D action models from a few 2D videos for view invariant action recognition
* Learning 3D appearance models from video
* Learning 3D Face Reconstruction From the Cycle-Consistency of Dynamic Faces
* Learning 3d Face Reconstruction with a Pose Guidance Network
* Learning 3D Faces from Photo-Realistic Facial Synthesis
* Learning 3D Generative Models
* Learning 3D Human Dynamics From Video
* Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats
* Learning 3D Human Pose from Structure and Motion
* Learning 3D Human Shape and Pose From Dense Body Parts
* Learning 3D Keypoint Descriptors for Non-rigid Shape Matching
* Learning 3D mesh segmentation and labeling
* Learning 3D Object Categories by Looking Around Them
* Learning 3D Object Descriptions from a Set of Stereo Vision Observations
* Learning 3D Object Recognition from an Unlabelled and Unordered Training Set
* Learning 3D Object Recognition Models from 2D Images
* Learning 3D Object Recognition Strategies
* Learning 3D Object Shape and Layout without 3D Supervision
* Learning 3D object templates by hierarchical quantization of geometry and appearance spaces
* Learning 3D Object Templates by Quantizing Geometry and Appearance Spaces
* Learning 3d Part Assembly from a Single Image
* Learning 3D Part Detection from Sparsely Labeled Data
* Learning 3D Recognition Models for General Objects from Unlabeled Imagery: An Experiment in Intelligent Brute Force
* Learning 3D Representations from 2D Pre-Trained Models via Image-to-Point Masked Autoencoders
* Learning 3D Scene Priors with 2D Supervision
* Learning 3D Scene Semantics and Structure from a Single Depth Image
* Learning 3D Semantic Reconstruction on Octrees
* Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions
* Learning 3D Semantic Scene Graphs with Instance Embeddings
* Learning 3D Semantic Segmentation with only 2D Image Supervision
* Learning 3d Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network
* Learning 3D Shape Completion from Laser Scan Data with Weak Supervision
* Learning 3D Shape Completion Under Weak Supervision
* Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification
* Learning 3D shape from a single facial image via non-linear manifold embedding and alignment
* Learning 3D Shapes as Multi-layered Height-Maps Using 2D Convolutional Networks
* Learning 3D structure from 2D images using LBP features
* Learning 4D action feature models for arbitrary view action recognition
* Learning 6D Object Pose Estimation Using 3D Object Coordinates
* Learning a 3D Morphable Face Reflectance Model from Low-Cost Data
* Learning a background model for change detection
* Learning a bag of features based nonlinear metric for facial similarity
* Learning a bi-directional discriminative representation for deep clustering
* Learning a bi-level adversarial network with global and local perception for makeup-invariant face verification
* Learning a Bias Correction for Lidar-Only Motion Estimation
* Learning a blind image quality index based on visual saliency guided sampling and Gabor filtering
* Learning a blind measure of perceptual image quality
* Learning a Cascade Regression for No-Reference Super-Resolution Image Quality Assessment
* Learning A Cascaded Non-Local Residual Network for Super-resolving Blurry Images
* Learning a category independent object detection cascade
* Learning a Channelized Observer for Image Quality Assessment
* Learning a classification model for segmentation
* Learning a Color Algorithm from Examples
* Learning a color distance metric for region-based image segmentation
* Learning a Combined Model of Visual Saliency for Fixation Prediction
* Learning a compact latent representation of the Bag-of-Parts model
* Learning a Compact Spatial-Angular Representation for Light Field
* Learning a Complete Image Indexing Pipeline
* Learning A Compositional Representation For Facade Object Categorization
* Learning a Confidence Measure for Optical Flow
* Learning a Confidence Measure for Real-Time Egomotion Estimation
* Learning a confidence measure in the disparity domain from O(1) features
* Learning a constrained conditional random field for enhanced segmentation of fallen trees in ALS point clouds
* Learning a Context Aware Dictionary for Sparse Representation
* Learning a Contextual Multi-Thread Model for Movie/TV Scene Segmentation
* Learning a Continuous-Time Streaming Video QoE Model
* Learning a Contrast Enhancer for Intensity Correction of Remotely Sensed Images
* Learning a convolutional neural network for fractional interpolation in HEVC inter coding
* Learning a Convolutional Neural Network for Image Compact-Resolution
* Learning a convolutional neural network for non-uniform motion blur removal
* Learning a convolutional neural network for propagation-based stereo image segmentation
* Learning a Coordinated Network for Detail-Refinement Multiexposure Image Fusion
* Learning a cross-modal hashing network for multimedia search
* Learning a decision boundary for face detection
* Learning a Deep Attention Dilated Residual Convolutional Neural Network for Landslide Susceptibility Mapping in Hanzhong City, Shaanxi Province, China
* Learning a Deep Cascaded Neural Network for Multiple Motion Commands Prediction in Autonomous Driving
* Learning a Deep Color Difference Metric for Photographic Images
* Learning a Deep ConvNet for Multi-Label Classification With Partial Labels
* Learning a Deep Convolutional Network for Image Super-Resolution
* Learning a Deep Convolutional Network for Light-Field Image Super-Resolution
* Learning a deep dual-level network for robust DeepFake detection
* Learning a Deep Dual Attention Network for Video Super-Resolution
* Learning a Deep Embedding Model for Zero-Shot Learning
* Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking
* Learning a Deep Model for Human Action Recognition from Novel Viewpoints
* Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion
* Learning a deep network with spherical part model for 3D hand pose estimation
* Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images
* Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
* Learning a Depth Covariance Function
* Learning a Descriptor-Specific 3D Keypoint Detector
* Learning a dictionary of deformable patches using GPUs
* Learning a Dictionary of Shape-Components in Visual Cortex: Comparison with Neurons, Humans and Machines
* Learning a Dictionary of Shape Epitomes with Applications to Image Labeling
* Learning a Dilated Residual Network for SAR Image Despeckling
* Learning a discriminative classifier using shape context distances
* Learning a discriminative deformation-invariant 3D shape descriptor via many-to-one encoder
* Learning a discriminative dictionary for sparse coding via label consistent K-SVD
* Learning a Discriminative Distance Metric With Label Consistency for Scene Classification
* Learning a Discriminative Feature Network for Semantic Segmentation
* Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
* Learning a Discriminative Model for the Perception of Realism in Composite Images
* Learning a Discriminative Null Space for Person Re-identification
* Learning a Discriminative Prior for Blind Image Deblurring
* Learning a discriminative sparse tri-value transform
* Learning a distance function with a Siamese network to localize anomalies in videos
* Learning a distance metric from multi-instance multi-label data
* Learning a Distance Metric from Relative Comparisons between Quadruplets of Images
* Learning a Dynamic Feature Fusion Tracker for Object Tracking
* Learning a Dynamic High-Resolution Network for Multi-Scale Pedestrian Detection
* Learning a Dynamic Map of Visual Appearance
* Learning a Facial Expression Embedding Disentangled from Identity
* Learning a Factorized Segmental Representation of Far-Field Tracking Data
* Learning a Family of Detectors via Multiplicative Kernels
* Learning a Fast Emulator of a Binary Decision Process
* Learning a Fine Vocabulary
* Learning a Fixed-Length Fingerprint Representation
* Learning a Fully Connected U-Net for Spectrum Reconstruction of Fourier Transform Imaging Spectrometers
* Learning a Gaussian basis for spectra representation aimed at reflectance classification
* Learning a General-Purpose Confidence Measure Based on O(1) Features and a Smarter Aggregation Strategy for Semi Global Matching
* Learning a General Assignment Model for Video Analytics
* Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix
* Learning a generic 3D face model from 2D image databases using incremental Structure-from-Motion
* Learning a geometry integrated image appearance manifold from a small training set
* Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects
* Learning a hierarchical compositional representation of multiple object classes
* Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
* Learning a Hierarchical Latent-Variable Model of 3D Shapes
* Learning a Hierarchical Latent Semantic Model for Multimedia Data
* Learning a hierarchy of discriminative space-time neighborhood features for human action recognition
* Learning a High Fidelity Identity Representation for Face Frontalization
* Learning a Holistic-Specific color transformer with Couple Contrastive constraints for underwater image enhancement and beyond
* Learning a hybrid similarity measure for image retrieval
* Learning a Joint Affinity Graph for Multiview Subspace Clustering
* Learning a joint discriminative-generative model for action recognition
* Learning a Joint Manifold Representation from Multiple Data Sets
* Learning a Kinematic Prior for Tree-Based Filtering
* Learning a Latent Space with Triplet Network for Few-Shot Image Classification
* Learning a Layout Transfer Network for Context Aware Object Detection
* Learning a lightweight deep convolutional network for joint age and gender recognition
* Learning a Limited Text Space for Cross-Media Retrieval
* Learning a locality preserving subspace for visual recognition
* Learning a Locally Unified 3D Point Cloud for View Synthesis
* Learning a low-coherence dictionary to address spectral variability for hyperspectral unmixing
* Learning a low-rank shared dictionary for object classification
* Learning a Mahalanobis distance metric for data clustering and classification
* Learning a Mahalanobis distance metric via regularized LDA for scene recognition
* Learning a manifold-constrained map between image sets: Applications to matching and pose estimation
* Learning a Manifold as an Atlas
* Learning A Meta-Ensemble Technique For Skin Lesion Classification And Novel Class Detection
* Learning a minimum similarity projection and lowest correlation representation for image classification
* Learning a mixture model for clustering with the completed likelihood minimum message length criterion
* Learning a Mixture of Deep Networks for Single Image Super-Resolution
* Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization
* Learning a mixture of sparse distance metrics for classification and dimensionality reduction
* Learning a Model-Driven Variational Network for Deformable Image Registration
* Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
* Learning a Multi-Branch Neural Network from Multiple Sources for Knowledge Adaptation in Remote Sensing Imagery
* Learning a multi-level guided residual network for single image deraining
* Learning a Multi-Size Patch-Based Hybrid Kernel Machine Ensemble for Abnormal Region Detection in Colonoscopic Images
* Learning a multiscale patch-based representation for image denoising in X-RAY fluoroscopy
* Learning a Near-Optimal Estimator for Surface Shape from Shading
* Learning a Neural 3D Texture Space From 2D Exemplars
* Learning a Neural Solver for Multiple Object Tracking
* Learning a New Statistical Shape Prior Model for Object Detection by Geodesic Active Contours
* Learning a no-reference quality metric for single-image super-resolution
* Learning a Non-blind Deblurring Network for Night Blurry Images
* Learning a non-linear combination of Mahalanobis distances using statistical inference for similarity measure
* Learning a non-linear knowledge transfer model for cross-view action recognition
* Learning a nonlinear distance metric for supervised region-merging image segmentation
* Learning a Nonnegative Sparse Graph for Linear Regression
* Learning a Novel Ensemble Tracker for Robust Visual Tracking
* Learning a Part-Based Pedestrian Detector in a Virtual World
* Learning a Patch Quality Comparator for Single Image Dehazing
* Learning a perceptual manifold for image set classification
* Learning a Person-Independent Representation for Precise 3D Pose Estimation
* Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models
* Learning a Predictable and Generative Vector Representation for Objects
* Learning a Privacy-Preserving Global Feature Set for Mood Classification Using Smartphone Activity and Sensor Data
* Learning a Probabilistic Model for Diffeomorphic Registration
* Learning a probabilistic model mixing 3D and 2D primitives for view invariant object recognition
* Learning a Probabilistic Similarity Function for Segmentation
* Learning a Proposal Classifier for Multiple Object Tracking
* Learning a Prototype Discriminator With RBF for Multimodal Image Synthesis
* Learning a Quality-Based Ranking for Feature Point Trajectories
* Learning a Recurrent Residual Fusion Network for Multimodal Matching
* Learning a referenceless stereopair quality engine with deep nonnegativity constrained sparse autoencoder
* Learning a Reinforced Agent for Flexible Exposure Bracketing Selection
* Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition
* Learning a restricted bayesian network for object detection
* Learning a Robust Part-Aware Monocular 3D Human Pose Estimator via Neural Architecture Search
* Learning a robust representation via a deep network on symmetric positive definite manifolds
* Learning a Robust Society of Tracking Parts Using Co-occurrence Constraints
* Learning A Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation
* Learning a Saliency Map for Fixation Prediction
* Learning a scale-and-rotation correlation filter for robust visual tracking
* Learning a scene contextual model for tracking and abnormality detection
* Learning a selectivity-invariance-selectivity feature extraction architecture for images
* Learning a Self-Expressive Network for Subspace Clustering
* Learning a semantic space from user's relevance feedback for image retrieval
* Learning a sequential search for landmarks
* Learning a Similarity Based Distance Measure for Image Database Organization from Human Partitionings of an Image Set
* Learning a Similarity Constrained Discriminative Kernel Dictionary from Concatenated Low-Rank Features for Action Recognition
* Learning a Similarity Metric Discriminatively, with Application to Face Verification
* Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances
* Learning a Single Active Face Shape Model across Views
* Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
* Learning a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal
* Learning A Single Network for Scale-Arbitrary Super-Resolution
* Learning a Single Tucker Decomposition Network for Lossy Image Compression With Multiple Bits-per-Pixel Rates
* Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes
* Learning a sparse dictionary of video structure for activity modeling
* Learning a Sparse Representation for Object Detection
* Learning a Sparse Representation from Multiple Still Images for On-Line Face Recognition in an Unconstrained Environment
* Learning A Sparse Transformer Network for Effective Image Deraining
* Learning a Sparse, Corner-Based Representation for Time-varying Background Modeling
* Learning a Spatially Smooth Subspace for Face Recognition
* Learning A Stable Structure To Describe Dynamic Texture
* Learning a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts
* Learning a strong detector for action localization in videos
* Learning a structured dictionary for video-based face recognition
* Learning a Structured Latent Space for Unsupervised Point Cloud Completion
* Learning A Superpixel-Driven Speed Function for Level Set Tracking
* Learning a Synchronous MAP for Improved Face Recognition
* Learning a target-dependent classifier for cross-domain semantic segmentation: Fine-tuning versus meta-learning
* Learning a Task-Specific Descriptor for Robust Matching of 3D Point Clouds
* Learning a temporally invariant representation for visual tracking
* Learning a Terrain Model for Autonomous Navigation in Rough Terrain
* Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection
* Learning a Two-Dimensional Fuzzy Discriminant Locality Preserving Subspace for Visual Recognition
* Learning a Unified Classifier Incrementally via Rebalancing
* Learning a Unified Sample Weighting Network for Object Detection
* Learning a virtual codec based on deep convolutional neural network to compress image
* Learning a wavelet tree for multichannel image denoising
* Learning a Weakly-Supervised Video Actor-Action Segmentation Model With a Wise Selection
* Learning a weighted semantic manifold for content-based image retrieval
* Learning AAM fitting through simulation
* Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision
* Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking
* Learning About A Scene Using an Active Vision System
* Learning About the Heritage of Tinian Marble Crafts with a Location-based Mobile Game and Tour App
* Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging
* Learning Accurate Dense Correspondences and When to Trust Them
* Learning Accurate Performance Predictors for Ultrafast Automated Model Compression
* Learning Accurate, Speedy, Lightweight CNNs via Instance-Specific Multi-Teacher Knowledge Distillation for Distracted Driver Posture Identification
* Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
* Learning Across Tasks and Domains
* Learning Across Tasks for Zero-Shot Domain Adaptation From a Single Source Domain
* Learning Across Views for Stereo Image Completion
* Learning Action Changes by Measuring Verb-Adverb Textual Relationships
* Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization
* Learning Action Concept Trees and Semantic Alignment Networks from Image-Description Data
* Learning action dictionaries from video
* Learning Action Maps of Large Environments via First-Person Vision
* Learning Action Primitives for Multi-level Video Event Understanding
* Learning Action Recognition Model from Depth and Skeleton Videos
* Learning action symbols for hierarchical grammar induction
* Learning Actionlet Ensemble for 3D Human Action Recognition
* Learning Actionness via Long-range Temporal Order Verification
* Learning actions from the Web
* Learning Actions Using Robust String Kernels
* Learning Active Basis Model for Object Detection and Recognition
* Learning Active Contour Models for Medical Image Segmentation
* Learning active facial patches for expression analysis
* Learning Active Shape Models for Bifurcating Contours
* Learning Activity Patterns Using Fuzzy Self-Organizing Neural Network
* Learning Activity Progression in LSTMs for Activity Detection and Early Detection
* Learning Actor Relation Graphs for Group Activity Recognition
* Learning Adaptive and Sparse Representations of Medical Images
* Learning Adaptive Attribute-Driven Representation for Real-Time RGB-T Tracking
* Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
* Learning Adaptive Dense Event Stereo from the Image Domain
* Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking
* Learning adaptive filter banks for hierarchical image representation
* Learning adaptive geometry for unsupervised domain adaptation
* Learning adaptive interpolation kernels for fast single-image super resolution
* Learning Adaptive Metric for Robust Visual Tracking
* Learning adaptive motion search for fast versatile video coding in visual surveillance systems
* Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering
* Learning Adaptive Neighborhoods for Graph Neural Networks
* Learning Adaptive Patch Generators for Mask-Robust Image Inpainting
* Learning Adaptive Receptive Fields for Deep Image Parsing Network
* Learning Adaptive Regularization for Image Labeling Using Geometric Assignment
* Learning Adaptive Sparse Spatially-Regularized Correlation Filters for Visual Tracking
* Learning adaptive spatial-temporal regularized correlation filters for visual tracking
* Learning Adaptive Target-and-Surrounding Soft Mask for Correlation Filter Based Visual Tracking
* Learning Adaptive Warping for RealWorld Rolling Shutter Correction
* Learning adaptively windowed correlation filters for robust tracking
* Learning Additive Kernel For Feature Transformation and Its Application to CNN Features
* Learning Adjustable Reduced Downsampling Network for Small Object Detection in Urban Environments
* Learning adversarial semantic embeddings for zero-shot recognition in open worlds
* Learning Adversarially Robust Object Detector with Consistency Regularization in Remote Sensing Images
* Learning Advisor Networks for Noisy Image Classification
* Learning Aerial Image Segmentation From Online Maps
* Learning Affective Features With a Hybrid Deep Model for Audio-Visual Emotion Recognition
* Learning Affine Hull Representations for Multi-Shot Person Re-Identification
* Learning Affine Transformations of the Plane for Model-Based Object Recognition
* Learning affine transformations
* Learning affinities and dependencies for multi-target tracking using a CRF model
* Learning Affinity-Aware Upsampling for Deep Image Matting*
* Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
* Learning Affinity Functions for Image Segmentation: Combining Patch-Based and Gradient-Based Approaches
* Learning Affordance Grounding from Exocentric Images
* Learning Affordance Segmentation: An Investigative Study
* Learning Affordances for Categorizing Objects and Their Properties
* Learning Age and Gender of Blogger from Stylistic Variation
* Learning aggregated features and optimizing model for semantic labeling
* Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
* Learning Algorithm Based on Modified Structure of Pattern Classes
* Learning Algorithm for Boltzmann Machines, A
* learning algorithm for structured character pattern representation used in on-line recognition of handwritten Japanese characters, A
* Learning Algorithm for the Optimum-Path Forest Classifier, A
* Learning Algorithm of Environmental Recognition in Driving Vehicle
* Learning Algorithms for Audio and Video Processing: Independent Component Analysis and Support Vector Machine Based Approaches
* Learning Algorithms for Digital Reconstruction of Van Gogh's Drawings
* Learning algorithms for extended models of Boltzmann machines
* Learning algorithms of form structure for Bayesian networks
* Learning Aligned Cross-Modal Representations from Weakly Aligned Data
* Learning Aligned Image-Text Representations Using Graph Attentive Relational Network
* Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer
* Learning Alternating Deep-Layer Cascaded Representation
* Learning an Adaptation Function to Assess Image Visual Similarities
* Learning an adaptive model for extreme low-light raw image processing
* Learning an Aesthetic Photo Cropping Cascade
* Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection
* Learning an Analysis Strategy for Knowledge-Based Exploration of Scenes
* Learning an artificial neural network to discover bit-quad-based formulas to compute basic object properties
* Learning an Atlas from Unlabeled Point-Sets
* Learning an attention-aware parallel sharing network for facial attribute recognition
* Learning an Attention Model for Robust 2-D/3-D Registration Using Point-To-Plane Correspondences
* Learning an augmentation strategy for sparse datasets
* Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection
* Learning an Effective Equivariant 3D Descriptor Without Supervision
* Learning an Efficient and Robust Graph Matching Procedure for Specific Object Recognition
* Learning an efficient model of hand shape variation from depth images
* Learning an Efficient Multimodal Depth Completion Model
* Learning an Efficient Texture Model by Supervised Nonlinear Dimensionality Reduction Methods
* Learning an event-oriented and discriminative dictionary based on an adaptive label-consistent K-SVD method for event detection in soccer videos
* Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo
* Learning an Evolutionary Embedding via Massive Knowledge Distillation
* Learning an Evolved Mixture Model for Task-Free Continual Learning
* Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise
* Learning an Image-Based Motion Context for Multiple People Tracking
* Learning an Information Theoretic Transform for Object Detection
* Learning an insertion region for advertisement embedding on planes
* Learning an Integral-Equation Approximation to Nonlinear Anisotropic Diffusion in Image-Processing
* Learning an interactive segmentation system
* Learning an Interest Operator from Human Eye Movements
* Learning an Intrinsic Image Decomposer Using Synthesized RGB-D Dataset
* Learning an Invariant and Equivariant Network for Weakly Supervised Object Detection
* Learning an Invariant Hilbert Space for Domain Adaptation
* Learning an Isometric Surface Parameterization for Texture Unwrapping
* Learning an Object's Function by Observing the Object in Action
* Learning an object class representation on a continuous viewsphere
* Learning an Object Model for Feature Matching in Clutter
* Learning an Occlusion-Aware Network for Video Deblurring
* Learning an Optimal Naive Bayes Classifier
* Learning an Optimisable Semantic Segmentation Map with Image Conditioned Variational Autoencoder
* Learning an Order Preserving Image Similarity through Deep Ranking
* Learning an Orthogonal and Smooth Subspace for Image Classification
* Learning an video frame-based face detection system for security fields
* Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images
* Learning Analytical Posterior Probability for Human Mesh Recovery
* Learning analytics system for assessing students' performance quality and text mining in online communication
* Learning analytics: a review of the literature
* Learning Anchor Transformations for 3D Garment Animation
* Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction
* Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation
* Learning AND-OR Templates for Object Recognition and Detection
* Learning and Adaptation for Improving Handwritten Character Recognizers
* Learning and Adapting Robust Features for Satellite Image Segmentation on Heterogeneous Data Sets
* Learning and Aggregating Deep Local Descriptors for Instance-Level Recognition
* Learning and Aggregating Lane Graphs for Urban Automated Driving
* Learning and Analysis of AusRAP Attributes from Digital Video Recording for Road Safety
* Learning and Application of Feedback Path Database for Feedback Control in Hearing Aids
* Learning and Association of Features for Action Recognition in Streaming Video
* Learning and Calibrating Per-Location Classifiers for Visual Place Recognition
* Learning and caricaturing the face space using self-organization and Hebbian learning for face processing
* Learning and Classification of Complex Dynamics
* Learning and Classification of Trajectories in Dynamic Scenes: A General Framework for Live Video Analysis
* Learning and Combining Image Similarities for Neonatal Brain Population Studies
* Learning and Design of Principal Curves
* Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models
* Learning and Detecting Objects with a Mobile Robot to Assist Older Adults in Their Homes
* Learning and Detection of Object Landmarks in Canonical Object Space
* Learning and Evaluating Visual Features for Pose Estimation
* Learning and Example Selection for Object and Pattern Detection
* Learning and extracting edges from images by a modified Hopfield neural network
* Learning and Feature Selection in Stereo Matching
* Learning and Forgetting with Local Information of New Objects
* Learning and Fusing Multiple User Interest Representations for Micro-Video and Movie Recommendations
* Learning and Incorporating Top-Down Cues in Image Segmentation
* Learning and Inference in Parametric Switching Linear Dynamical Systems
* Learning and Inference of 3D Human Poses from Gaussian Mixture Modeled Silhouettes
* Learning and Inferring Dark Matter: and Predicting Human Intents and Trajectories in Videos
* Learning and Inferring Image Segmentations Using the GBP Typical Cut Algorithm
* Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems
* Learning and Integrating Multi-Level Matching Features for Image-Text Retrieval
* Learning and matching human activities using regular expressions
* Learning and Matching Line Aspects for Articulated Objects
* Learning and Matching Multi-View Descriptors for Registration of Point Clouds
* Learning and matching multiscale template descriptors for real-time detection, localization and tracking
* Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition
* Learning and Memorizing Representative Prototypes for 3d Point Cloud Semantic and Instance Segmentation
* Learning and Meshing From Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching
* Learning and Operation Planning Method for Uber Energy Storage System: Order Dispatch, A
* Learning and parsing video events with goal and intent prediction
* Learning and Predicting Moving Object Trajectory: A piecewise trajectory segment approach
* Learning and Prediction of Soft Object Deformation Using Visual Analysis of Robot Interactions
* Learning and Propagation of Dominant Colors for Fast Video Segmentation
* Learning and Reasoning by Analogy
* Learning and recognising 3d models represented by multiple views by means of methods based on random graphs
* Learning and recognition for assistive computer vision
* Learning and Recognition of 3-D Objects from Brightness Images
* Learning and Recognition of 3D Objects from Appearance
* Learning and Recognition of Clothing Genres From Full-Body Images
* Learning and Recognition of Hand-Drawn Shapes Using Generative Genetic Programming
* Learning and Recognition of On-Premise Signs From Weakly Labeled Street View Images
* Learning and recognizing complex multi-agent activities with applications to american football plays
* Learning and Recognizing Human Dynamics in Video Sequences
* Learning and Refining of Privileged Information-Based RNNs for Action Recognition from Depth Sequences
* Learning and Regularizing Motion Models for Enhancing Particle Filter-Based Target Tracking
* Learning and Removing Cast Shadows through a Multidistribution Approach
* Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction
* Learning and Selecting Confidence Measures for Robust Stereo Matching
* Learning and SLAM based Decision Support Platform for Sewer Inspection
* Learning and synthesizing human body motion and posture
* Learning and synthesizing MPEG-4 compatible 3-D face animation from video sequence
* Learning and the language of thought
* Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences
* Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification
* Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
* Learning and transferring representations for image steganalysis using convolutional neural network
* Learning and Transforming General Representations to Break Down Stability-plasticity Dilemma
* Learning and understanding dynamic scene activity: a review
* Learning and using taxonomies for fast visual categorization
* Learning and Using the Arrow of Time
* Learning and vision machines
* Learning Answer Embeddings for Visual Question Answering
* Learning Appearance-Motion Synergy via Memory-Guided Event Prediction for Video Anomaly Detection
* Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life
* Learning appearance and transparency manifolds of occluded objects in layers
* Learning Appearance Features for Pain Detection Using the UNBC-McMaster Shoulder Pain Expression Archive Database
* Learning appearance in virtual scenarios for pedestrian detection
* Learning Appearance Manifolds from Video
* Learning Appearance Models for Object Recognition
* Learning Appearance Primitives of Iris Images for Ethnic Classification
* Learning Approach for Adaptive Image Segmentation, A
* Learning Approach for Informative-Frame Selection in US Rheumatology Images, A
* Learning Approach to 3D Object Representation for Classification, A
* learning approach to discovering Web page semantic structures, A
* Learning Approach Towards Detection and Tracking of Lane Markings, A
* Learning Approaches for Parking Lots Classification
* Learning arbitrary-shape object detector from bounding-box annotation by searching region-graph
* Learning Architectures for Binary Networks
* Learning articulated appearance models for tracking humans: A spectral graph matching approach
* Learning Articulated Shape with Keypoint Pseudo-Labels from Web Images
* Learning Articulated Structure and Motion
* Learning Artistic Lighting Template from Portrait Photographs
* Learning aspect models with partially labeled data
* Learning Assignment Order of Instances for the Constrained K-Means Clustering Algorithm
* Learning assistive strategies for exoskeleton robots from user-robot physical interaction
* Learning associate appearance manifolds for cross-pose face recognition
* Learning Association Fields from Natural Images
* Learning Associative Representation for Facial Expression Recognition
* Learning Asymmetric and Local Features in Multi-Dimensional Data Through Wavelets With Recursive Partitioning
* Learning Asynchronous and Sparse Human-Object Interaction in Videos
* Learning Atomic Human Actions Using Variable-Length Markov Models
* Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks
* Learning attention-guided pyramidal features for few-shot fine-grained recognition
* Learning Attention as Disentangler for Compositional Zero-Shot Learning
* Learning attention based saliency in videos from human eye movements
* Learning attention map from images
* Learning Attention Propagation for Compositional Zero-Shot Learning
* Learning Attentional Recurrent Neural Network for Visual Tracking
* Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking
* Learning Attentive and Hierarchical Representations for 3D Shape Recognition
* Learning attentive dynamic maps (ADMs) for Understanding Human Actions
* Learning Attraction Field Representation for Robust Line Segment Detection
* Learning Attribute-driven Disentangled Representations for Interactive Fashion Retrieval
* Learning Attribute and Class-Specific Representation Duet for Fine-Grained Fashion Analysis
* Learning Attribute Representation for Human Activity Recognition
* Learning Attribute Representations with Localization for Flexible Fashion Search
* Learning Attributes Equals Multi-Source Domain Generalization
* Learning Attributes from Human Gaze
* Learning Audio-Video Modalities from Image Captions
* Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning
* Learning audio and image representations with bio-inspired trainable feature extractors
* Learning Augmentation Network via Influence Functions
* Learning auto-scale representations for person re-identification
* Learning Auto-Structured Regressor from Uncertain Nonnegative Labels
* Learning autoencoders with low-rank weights
* Learning automata based classifier
* Learning automata for image segmentation
* Learning automatic concept detectors from online video
* Learning automatic video capture from human's camera operations
* Learning Background-Aware Correlation Filters for Visual Tracking
* Learning Background and Shadow Appearance with 3-D Vehicle Models
* Learning Background Subtraction by Video Synthesis and Multi-scale Recurrent Networks
* Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification
* Learning bag-of-embedded-words representations for textual information retrieval
* Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
* Learning Balanced Trees for Large Scale Image Classification
* Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval
* Learning Based Adaptive Denoising Approach for Image Interpolation
* Learning based alpha matting using support vector regression
* Learning Based Approach for 3D Segmentation and Colon Detagging, A
* learning based approach for dense stereo matching with IGMRF prior, A
* learning based approach to additive, correlated noise removal, A
* Learning based automatic face annotation for arbitrary poses and expressions from frontal images only
* Learning Based Character Segmentation Method for Various License Plates
* Learning based coarse-to-fine image registration
* learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images, A
* Learning based Detection, segmentation and matching of objects
* Learning based digital matting
* Learning Based Intelligent Train Regulation Method With Dynamic Prediction for the Metro Passenger Flow, A
* Learning Based Interactive Image Segmentation
* Learning based method for near field acoustic range estimation in spherical harmonics domain using intensity vectors
* Learning based Multi-modality Image and Video Compression
* Learning based no-reference metric for assessing quality of experience of stereoscopic images
* Learning based on conceptual distance
* Learning Based Reconstruction of Grayscale Face Image from Far-Infrared Image
* Learning Based Relevance Feedback in Image Retrieval
* Learning Based Resolution Enhancement of Iris Images
* Learning Based Single Image Blur Detection and Segmentation
* Learning Based Single Image Super Resolution Using Discrete Wavelet Transform
* Learning Based System for Detection and Tracking of Vehicles
* Learning based video authentication using statistical local information
* Learning Bases of Activity for Facial Expression Recognition
* Learning Basic Patterns from Repetitive Texture Surfaces Under Non-rigid Deformations
* Learning Bayesian Classifiers for Scene Classification With a Visual Grammar
* Learning Bayesian classifiers from positive and unlabeled examples
* Learning Bayesian network classifiers for credit scoring using Markov chain Monte Carlo search
* Learning Bayesian network classifiers for facial expression recognition using both labeled and unlabeled data
* Learning Bayesian network classifiers from label proportions
* Learning Bayesian network parameters under incomplete data with domain knowledge
* Learning Bayesian network structure using Markov blanket decomposition
* Learning Bayesian Networks by Evolution for Classifier Combination
* Learning Bayesian networks for clustering by means of constructive induction
* Learning Bayesian Networks for Cytogenetic Image Classification
* Learning Bayesian networks using the constrained maximum a posteriori probability method
* Learning Bayesian Networks with qualitative constraints
* Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
* Learning Bayesian tracking for motion estimation
* Learning beautiful (and ugly) attributes
* Learning Behavior Using Multiresolution Recurrent Neural Network
* Learning Behaviour Models of Human Activities
* Learning Behavioural Context
* Learning best views of 3D shapes from sketch contour
* Learning better image representations using flobject analysis
* Learning Better Lossless Compression Using Lossy Compression
* Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding
* Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation
* Learning Bi-directional Feature Propagation with Latent Layout Modeling for Group Re-identification
* Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization
* Learning bias in neural networks and an approach to controlling its effect in monotonic classification
* Learning biased distance metrics with diversity regularizer for person re-identification
* Learning Bidimensional Context Dependent Models Using a Context Sensitive Language
* Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification
* Learning Big (Image) Data via Coresets for Dictionaries
* Learning Bilevel Layer Priors for Single Image Rain Streaks Removal
* Learning Bilinear Models for Two Factor Problems in Vision
* Learning binarized pixel-difference pattern for scene recognition
* Learning binary code for fast nearest subspace search
* Learning Binary Code for Personalized Fashion Recommendation
* Learning Binary Codes for Maximum Inner Product Search
* Learning binary hash codes for finger vein image retrieval
* Learning Biomimetic Perception for Human Sensorimotor Control
* Learning Blackboard-Based Scheduling Algorithms for Computer Vision
* Learning Blind Motion Deblurring
* Learning Blind Pixelwise Affine Image Denoiser With Single Noisy Images
* Learning Blind Quality Evaluator for Stereoscopic Images Using Joint Sparse Representation
* Learning Blind Video Temporal Consistency
* Learning body part-based pose lexicons for semantic action recognition
* Learning Boosted Asymmetric Classifiers for Object Detection
* Learning Bottleneck Concepts in Image Classification
* Learning bottom-up text attention maps for text detection using stroke width transform
* Learning boundaries with color and depth
* Learning Boundary and Appearance for Video Object Cutout
* Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network
* Learning Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow
* Learning Building Extraction in Aerial Scenes with Convolutional Networks
* Learning Bundle Manifold by Double Neighborhood Graphs
* Learning by a Generation Approach to Appearance-Based Object Recognition
* Learning by Aligning Videos in Time
* Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences
* Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation
* Learning by Asking Questions
* Learning by Associating Ambiguously Labeled Images
* Learning by Association: A Versatile Semi-Supervised Training Method for Neural Networks
* Learning by coincidence: Siamese networks and common variable learning
* Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation
* Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision
* Learning by Imagination: A Joint Framework for Text-Based Image Manipulation and Change Captioning
* Learning by Planning: Language-Guided Global Image Editing
* Learning by Restoring Broken 3D Geometry
* Learning by Sampling for White Blood Cells Segmentation
* Learning by Seeing More Classes
* Learning by Tracking: Siamese CNN for Robust Target Association
* Learning by Watching
* Learning by Watching: Extracting Reusable Task Knowledge from Visual Observation of Human Performance
* Learning Calibrated Class Centers for Few-Shot Classification by Pair-Wise Similarity
* Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling
* Learning Camera-aware Noise Models
* Learning Camera Localization via Dense Scene Matching
* Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN)
* Learning Camera Viewpoint Using CNN to Improve 3D Body Pose Estimation
* Learning Canonical 3D Object Representation for Fine-Grained Recognition
* Learning Canonical Correlations
* Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations
* Learning Canonical F-Correlation Projection for Compact Multiview Representation
* Learning Canonical Representations for Scene Graph to Image Generation
* Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation
* Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views
* Learning Cartographic Building Generalization with Deep Convolutional Neural Networks
* Learning Cascaded Context-Aware Framework for Robust Visual Tracking
* Learning Cascaded Deep Auto-Encoder Networks for Face Alignment
* Learning Cascaded Reduced-Set SVMs Using Linear Programming
* Learning Cascaded Shared-Boost Classifiers for Part-Based Object Detection
* Learning Cascaded Siamese Networks for High Performance Visual Tracki
* Learning cast shadow appearance for human posture recognition
* Learning Categorical Shape from Captioned Images
* Learning Categories From Few Examples With Multi Model Knowledge Transfer
* Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation
* Learning Category-Specific 3D Shape Models from Weakly Labeled 2D Images
* Learning Category-Specific Deformable 3D Models for Object Reconstruction
* Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization
* Learning Category-Specific Mesh Reconstruction from Image Collections
* Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions
* Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection
* Learning CCA Representations for Misaligned Data
* Learning cell geometry models for cell image simulation: An unbiased approach
* Learning Center Probability Map for Detecting Objects in Aerial Images
* Learning Chan-Vese
* Learning Chance Probability Functions for Shape Retrieval or Classification
* Learning Change from Synthetic Aperture Radar Images: Performance Evaluation of a Support Vector Machine to Detect Earthquake and Tsunami-Induced Changes
* Learning Channel-Aware Correlation Filters for Robust Object Tracking
* Learning channel-aware deep regression for object tracking
* Learning Channel-Wise Interactions for Binary Convolutional Neural Networks
* Learning Character Recognition by Localized Interpretation of Character-Images
* Learning Choreographic Primitives Through A Bayesian Optimized Bi-Directional LSTM Model
* Learning circulant support vector machines for fast image search
* Learning Clasiffier Systems with Hebbian Learning for Autonomus Behaviors
* Learning class-specific affinities for image labelling
* Learning class-specific dictionaries for digit recognition from spherical surface of a 3D ball
* Learning Class-Specific Edges for Object Detection and Segmentation
* Learning class-specific image transformations with higher-order Boltzmann machines
* Learning Class-to-Image Distance via Large Margin and L1-Norm Regularization
* Learning Class-to-Image Distance with Object Matchings
* Learning class probabilities from labeled data
* Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition
* Learning Class Regions by the Union of Ellipsoids
* Learning Class Specific Graph Prototypes
* Learning classes for video interpretation with a robust parallel clustering method
* Learning Classifier System on a humanoid NAO robot in dynamic environments
* Learning classifiers from imbalanced data based on biased minimax probability machine
* Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation
* Learning CLIP Guided Visual-Text Fusion Transformer for Video-based Pedestrian Attribute Recognition
* Learning Clip Representations for Skeleton-Based 3D Action Recognition
* Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification
* Learning clustering-based linear mappings for quantization noise removal
* Learning Clustering for Motion Segmentation
* Learning CNNs for Face Recognition from Weakly Annotated Images
* Learning CNNs from weakly annotated facial images
* Learning Co-occurrence of Local Spatial Strokes for Robust Character Recognition
* Learning co-occurrence strokes for scene character recognition based on spatiality embedded dictionary
* Learning Co-relations of Plausible Verb Arguments with a WSM and a Distributional Thesaurus
* Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
* Learning Coarse-to-Fine Graph Neural Networks for Video-Text Retrieval
* Learning coarse-to-fine sparselets for efficient object detection and scene classification
* Learning codebook weights for action detection
* Learning Collaborative Model for Visual Tracking
* Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking
* Learning Collections of Part Models for Object Recognition
* Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents
* Learning color and locality cues for moving object detection and segmentation
* Learning Color Distributions from Bitemporal Remote Sensing Images to Update Existing Building Footprints
* Learning color image expansion filters
* Learning Color Names for Real-World Applications
* Learning Color Names from Real-World Images
* Learning Color Representations for Low-Light Image Enhancement
* Learning Combination of Evidence Functions in Object Recognition
* Learning Combination of Graph Filters for Graph Signal Modeling
* Learning Combinations of Activation Functions
* Learning Combinatorial Embedding Networks for Deep Graph Matching
* Learning Combinatorial Solver for Graph Matching
* Learning combined similarity measures from user data for image retrieval
* Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker
* Learning common and label-specific features for multi-Label classification with correlation information
* Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
* Learning Common and Specific Visual Prompts for Domain Generalization
* Learning common behaviors from large sets of unlabeled temporal series
* Learning Common Harmonic Waves on Stiefel Manifold: A New Mathematical Approach for Brain Network Analyses
* Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
* Learning Common Sense through Visual Abstraction
* Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification
* Learning Compact Appearance Representation for Video-Based Person Re-Identification
* Learning Compact Binary Codes for Visual Tracking
* Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks
* Learning Compact Binary Face Descriptor for Face Recognition
* Learning compact ConvNets through filter pruning based on the saliency of a feature map
* Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition
* Learning Compact Features for Human Activity Recognition Via Probabilistic First-Take-All
* Learning Compact Geometric Features
* Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure
* Learning Compact Multifeature Codes for Palmprint Recognition From a Single Training Image per Palm
* Learning Compact q-Space Representations for Multi-Shell Diffusion-Weighted MRI
* Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
* Learning Compact Representations for LiDAR Completion and Generation
* Learning Compact Visual Attributes for Large-Scale Image Classification
* Learning Compact Visual Descriptors for Low Bit Rate Mobile Landmark Search
* Learning Compatibility Coefficients for Relaxation Labeling Processes
* Learning Compatible Embeddings
* Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes
* Learning complementary semantic information for zero-shot recognition
* Learning complementary Siamese networks for real-time high-performance visual tracking
* Learning Complete 3D Morphable Face Models from Images and Videos
* Learning Complete and Discriminative Direction Pattern for Robust Palmprint Recognition
* Learning completed discriminative local features for texture classification
* Learning complex background by multi-scale discriminative model
* Learning complex image patterns with Scale and Shift Invariant Sparse Coding
* Learning Complex Spatio-Temporal Configurations of Body Joints for Online Activity Recognition
* Learning Complex Structural Descriptions from Examples
* Learning Complexity-Aware Cascades for Deep Pedestrian Detection
* Learning Complexity-Aware Cascades for Pedestrian Detection
* Learning Component-Level Sparse Representation for Image and Video Categorization
* Learning component-level sparse representation using histogram information for image classification
* Learning Composite Latent Structures for 3D Human Action Representation and Recognition
* Learning Compositional Categorization Models
* Learning Compositional Neural Information Fusion for Human Parsing
* Learning Compositional Radiance Fields of Dynamic Human Heads
* Learning Compositional Representation for 4D Captures with Neural ODE
* Learning Compositional Representations for Few-Shot Recognition
* Learning Compositional Sparse Bimodal Models
* Learning Compositional Visual Concepts with Mutual Consistency
* Learning comprehensive global features in person re-identification: Ensuring discriminativeness of more local regions
* Learning compressed image classification features
* Learning Compressible 360° Video Isomers
* Learning Compression from Limited Unlabeled Data
* Learning Computational Models of Video Memorability from fMRI Brain Imaging
* Learning Concept Embeddings with Combined Human-Machine Expertise
* Learning Concepts by Modeling Relationships
* Learning Concise and Descriptive Attributes for Visual Recognition
* Learning Concordant Attention via Target-aware Alignment for Visible-Infrared Person Re-identification
* Learning Conditional Attributes for Compositional Zero-Shot Learning
* Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
* Learning Conditional Random Fields for Classification of Hyperspectral Images
* Learning Conditional Random Fields for Stereo
* Learning conditional variational autoencoders with missing covariates
* Learning Confidence Measures by Multi-modal Convolutional Neural Networks
* Learning confidence transformation for handwritten Chinese text recognition
* Learning Connectivity of Neural Networks from a Topological Perspective
* Learning Connectivity with Graph Convolutional Networks
* Learning consensus-aware semantic knowledge for remote sensing image captioning
* Learning Consensus Representation for Weak Style Classification
* Learning Consistent Discretizations of the Total Variation
* Learning Consistent Feature Representation for Cross-Modal Multimedia Retrieval
* Learning Consistent Global-Local Representation for Cross-Domain Facial Expression Recognition
* Learning consistent region features for lifelong person re-identification
* Learning content-social influential features for influence analysis
* Learning Content-Weighted Deep Image Compression
* Learning content and style: Joint action recognition and person identification from human skeletons
* Learning context-aware sparse representation for single image super-resolution
* Learning context-free grammars using tabular representations
* Learning Context-Sensitive Shape Similarity by Graph Transduction
* Learning context-sensitive similarity by shortest path propagation
* Learning Context Cues for Synapse Segmentation
* Learning context for collective activity recognition
* Learning Context Graph for Person Search
* Learning context sensitive similarity measure on pair fusion graph
* Learning Contextual Causality between Daily Events from Time-consecutive Images
* Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks
* Learning Contextual Dependencies for Optical Flow with Recurrent Neural Networks
* Learning contextual dissimilarity on tensor product graph for visual re-ranking
* Learning contextual relationships in mammograms using a hierarchical pyramid neural network
* Learning contextual rules for priming object categories in images
* Learning Contextual Variations for Video Segmentation
* Learning Contextually Fused Audio-Visual Representations for Audio-Visual Speech Recognition
* Learning Continuous-Time Dynamics With Attention
* Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction
* Learning Continuous Face Age Progression: A Pyramid of GANs
* Learning Continuous Facial Actions From Speech for Real-Time Animation
* Learning Continuous Image Representation with Local Implicit Image Function
* Learning Continuous Implicit Representation for Near-Periodic Patterns
* Learning Continuous Mesh Representation with Spherical Implicit Surface
* Learning continuous temporal embedding of videos using pattern theory
* Learning contour-fragment-based shape model with And-Or tree representation
* Learning Contours for Point Cloud Completion
* Learning contrastive feature distribution model for interaction recognition
* Learning Contrastive Representation for Semantic Correspondence
* Learning Control Policies of Driverless Vehicles from UAV Video Streams in Complex Urban Environments
* Learning Controllable Face Generator from Disjoint Datasets
* Learning Controllable ISP for Image Enhancement
* Learning Converged Propagations With Deep Prior Ensemble for Image Enhancement
* Learning Convolution Feature Aggregation via Edge Attention Convolution Network for Person Re-Identification
* Learning Convolutional Domain-Robust Representations for Cross-View Face Recognition
* Learning Convolutional Networks for Content-Weighted Image Compression
* Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification
* Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression
* Learning Cooperative Neural Modules for Stylized Image Captioning
* Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning
* Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution
* Learning Correlation Filter With Detection Response For Visual Tracking
* Learning correlation filters in independent feature channels for robust visual tracking
* Learning correlation information for multi-label feature selection
* Learning Correspondence From the Cycle-Consistency of Time
* Learning Correspondence Structures for Person Re-Identification
* Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares
* Learning Correspondences Between Visual Features and Functional Features
* Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative
* Learning cost function for graph classification with open-set methods
* Learning Cost Functions for Graph Matching
* Learning Coupled Classifiers with RGB images for RGB-D object recognition
* Learning coupled conditional random field for image decomposition with application on object categorization
* Learning Coupled Convolutional Networks Fusion for Video Saliency Prediction
* Learning Coupled Feature Spaces for Cross-Modal Matching
* Learning Covariant Feature Detectors
* Learning CRFs for Image Parsing with Adaptive Subgradient Descent
* Learning CRFs Using Graph Cuts
* Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss
* Learning criterion and inductive behaviour
* Learning crop regions for content-aware generation of thumbnail images
* Learning Cross-Channel Representations for Semantic Segmentation
* Learning Cross-Domain Information Transfer for Location Recognition and Clustering
* Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation
* Learning Cross-Domain Semantic-Visual Relationships for Transductive Zero-Shot Learning
* Learning Cross-Media Joint Representation With Sparse and Semisupervised Regularization
* Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples
* Learning Cross-Modal Contrastive Features for Video Domain Adaptation
* Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention
* Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch
* Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
* Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
* Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images
* Learning Cross-Modal Representations for Language-Based Image Manipulation
* Learning Cross-Modal Retrieval with Noisy Labels
* Learning Cross-Modality Representations From Multi-Modal Images
* Learning cross-modality similarity for multinomial data
* Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation
* Learning Cross-Scale Weighted Prediction for Efficient Neural Video Compression
* Learning Cross-Spectral Similarity Measures with Deep Convolutional Neural Networks
* Learning cross-task relations for panoptic driving perception
* Learning Cross-Video Neural Representations for High-Quality Frame Interpolation
* Learning Cross Space Mapping via DNN Using Large Scale Click-Through Logs
* Learning crowd behavior for event recognition
* Learning Crowdsourced User Preferences for Visual Summarization of Image Collections
* Learning Curves for the Analysis of Multiple Instance Classifiers
* Learning Customised Decision Trees for Domain-knowledge Constraints
* Learning Customized Visual Models with Retrieval-Augmented Knowledge
* Learning Daily Human Mobility with a Transformer-Based Model
* Learning data-driven image similarity measure
* Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition
* Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution
* Learning Data Augmentation Strategies for Object Detection
* Learning Data Augmentation with Online Bilevel Optimization for Image Classification
* Learning Data Consistency and its Application to Dynamic MR Imaging
* Learning Data Terms for Non-blind Deblurring
* Learning Debiased Representations via Conditional Attribute Interpolation
* Learning Decision Trees Recurrently Through Communication
* Learning decision trees with taxonomy of propositionalized attributes
* Learning Deconvolution Network for Semantic Segmentation
* Learning Decorrelated Representations Efficiently Using Fast Fourier Transform
* Learning Decoupled Representations for Human Pose Forecasting
* Learning deep-sea substrate types with visual topic models
* Learning deep and compact models for gesture recognition
* Learning deep architectures for AI
* Learning Deep Binary Descriptor with Multi-Quantization
* Learning Deep Binary Descriptors via Bitwise Interaction Mining
* Learning Deep Classifiers Consistent with Fine-Grained Novelty Detection
* Learning Deep CNN Denoiser Prior for Image Restoration
* Learning deep CNNs for impulse noise removal in images
* Learning Deep Co-Occurrence Features
* Learning deep compact channel features for object detection in traffic scenes
* Learning deep compact descriptor with bagging auto-encoders for object retrieval
* Learning Deep Conditional Neural Network for Image Segmentation
* Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification
* Learning Deep Convolutional Embeddings for Face Representation Using Joint Sample- and Set-Based Supervision
* Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification
* Learning deep cross-scale feature propagation for indoor semantic segmentation
* Learning Deep Descriptors with Scale-Aware Triplet Networks
* Learning Deep Dictionary for Hyperspectral Image Denoising
* Learning deep discriminative embeddings via joint rescaled features and log-probability centers
* Learning deep edge prior for image denoising
* Learning Deep Embeddings via Margin-Based Discriminate Loss
* Learning deep face representation with long-tail data: An aggregate-and-disperse approach
* Learning deep facial expression features from image and optical flow sequences using 3D CNN
* Learning deep feature correspondence for unsupervised anomaly detection and segmentation
* Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
* Learning Deep Features for Discriminative Localization
* Learning Deep Features for Giant Panda Gender Classification using Face Images
* Learning Deep Features for Hierarchical Classification of Mobile Phone Face Datasets in Heterogeneous Environments
* Learning deep features for image emotion classification
* Learning Deep Features for Multiple Object Tracking by Using a Multi-Task Learning Strategy
* Learning Deep Features for One-Class Classification
* Learning deep features for online person tracking using non-overlapping cameras: A survey
* Learning deep features for task-independent EEG-based biometric verification
* Learning deep filter banks in parallel for texture recognition
* Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild
* Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds
* Learning deep kernels in the space of monotone conjunctive polynomials
* Learning Deep Latent Variable Models by Short-Run MCMC Inference with Optimal Transport Correction
* Learning Deep Local Features with Multiple Dynamic Attentions for Large-Scale Image Retrieval
* Learning Deep Lucas-Kanade Siamese Network for Visual Tracking
* Learning Deep Match Kernels for Image-Set Classification
* Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision
* Learning deep morphological networks with neural architecture search
* Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking
* Learning Deep Network for Detecting 3D Object Keypoints and 6D Poses
* Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals
* Learning Deep Non-blind Image Deconvolution Without Ground Truths
* Learning Deep Object Detectors from 3D Models
* Learning deep part-aware embedding for person retrieval
* Learning Deep Patch Representation for Probabilistic Graphical Model-Based Face Sketch Synthesis
* Learning Deep Priors for Image Dehazing
* Learning Deep Relationship for Object Detection
* Learning Deep Representation for Face Alignment with Auxiliary Attributes
* Learning Deep Representation for Imbalanced Classification
* Learning Deep Representation for Place Recognition in SLAM
* Learning Deep Representation with Large-Scale Attributes
* Learning deep representations for ground-to-aerial geolocalization
* Learning Deep Representations for Photo Retouching
* Learning Deep Representations of Appearance and Motion for Anomalous Event Detection
* Learning Deep Representations of Fine-Grained Visual Descriptions
* Learning Deep Representations with Probabilistic Knowledge Transfer
* Learning Deep Scene Curve for Fast and Robust Underwater Image Enhancement
* Learning Deep Semantic Segmentation Network Under Multiple Weakly-Supervised Constraints for Cross-Domain Remote Sensing Image Semantic Segmentation
* Learning Deep Sharable and Structural Detectors for Face Alignment
* Learning deep similarity models with focus ranking for fabric image retrieval
* Learning Deep Sketch Abstraction
* Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification
* Learning Deep Spatial-Spectral Features for Material Segmentation in Hyperspectral Images
* Learning Deep Spatial Lung Features by 3D Convolutional Neural Network for Early Cancer Detection
* Learning Deep Spatio-Temporal Dependence for Semantic Video Segmentation
* Learning deep spatiotemporal features for video captioning
* Learning Deep Structure-Preserving Image-Text Embeddings
* Learning Deep Structured Active Contours End-to-End
* Learning deep transmission network for single image dehazing
* Learning Deeply Aggregated Alternating Minimization for General Inverse Problems
* Learning deeply coupled autoencoders for smartphone based robust periocular verification
* Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction
* Learning Defects in Old Movies from Manually Assisted Restoration
* Learning deformable action templates from cluttered videos
* Learning Deformable Hourglass Networks (DHGN) for Unconstrained Face Alignment
* Learning Deformable Image Registration From Optimization: Perspective, Modules, Bilevel Training and Beyond
* Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy
* Learning Deformable Models for Tracking the Human Body
* Learning deformable shape manifolds
* Learning Deformations of Human Arm Movement to Adapt to Environmental Constraints
* Learning Deformations with Parallel Transport
* Learning Degradation-Invariant Representation for Robust Real-World Person Re-Identification
* Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution
* Learning Degradation Representations for Image Deblurring
* Learning Delaunay Surface Elements for Mesh Reconstruction
* Learning Delicate Local Representations for Multi-person Pose Estimation
* Learning denoising bounds for noisy images
* Learning Dense and Continuous Optical Flow From an Event Camera
* Learning Dense Correspondence via 3D-Guided Cycle Consistency
* Learning Dense Correspondences for Non-Rigid Point Clouds With Two-Stage Regression
* Learning Dense Correspondences for Video Objects
* Learning Dense Facial Correspondences in Unconstrained Images
* Learning Dense Optical-Flow Trajectory Patterns for Video Object Extraction
* Learning Dense Wide Baseline Stereo Matching for People
* Learning Depth-Guided Convolutions for Monocular 3D Object Detection
* Learning Depth Calibration of Time-of-Flight Cameras
* Learning Depth Cues from Focal Stack for Light Field Depth Estimation
* Learning Depth Estimation for Transparent and Mirror Surfaces
* Learning depth from a single image using visual-depth words
* Learning Depth from Endoscopic Images
* Learning Depth from Focus in the Wild
* Learning Depth from Monocular Videos Using Direct Methods
* Learning Depth From Single Images With Deep Neural Network Embedding Focal Length
* Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
* Learning Depth from Stereo
* Learning Depth via Leveraging Semantics: Self-Supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance
* Learning Depth with Convolutional Spatial Propagation Network
* Learning descriptive visual representation for image classification and annotation
* Learning Descriptor Networks for 3D Shape Synthesis and Analysis
* Learning Descriptor, Confidence, and Depth Estimation in Multi-view Stereo
* Learning descriptors for object recognition and 3D pose estimation
* Learning Descriptors With Cube Loss for View-Based 3-D Object Retrieval
* Learning Detail-Structure Alternative Optimization for Blind Super-Resolution
* Learning Detailed Face Reconstruction from a Single Image
* Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis from Monocular Image
* Learning Detection with Diverse Proposals
* Learning Detectors Quickly with Stationary Statistics
* Learning Deterministic Finite Automata with a Smart State Labeling Evolutionary Algorithm
* Learning diagram parts with hidden random fields
* Learning Dictionaries as a Sum of Kronecker Products
* Learning Dictionaries for Matching Pursuits Based Video Coders
* Learning dictionaries from correlated data: Application to fMRI data analysis
* Learning Dictionaries of Discriminative Image Patches
* Learning dictionaries of kinematic primitives for action classification
* Learning Dictionaries With Bounded Self-Coherence
* Learning Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation
* Learning dictionary on manifolds for image classification
* Learning dictionary via subspace segmentation for sparse representation
* Learning Differential Invariants of Planar Curves
* Learning Dilation Factors for Semantic Segmentation of Street Scenes
* Learning dimensionality and orientations of 3D objects
* Learning Direct Optimization for scene understanding
* Learning Directed Intention-driven Activities using Co-Clustering
* Learning Directional Local Pairwise Bases with Sparse Coding
* Learning directly from synthetic point clouds for in-the-wild 3D face recognition
* Learning Discrete Matrix Factorization Models
* Learning Discrete Representations From Reference Images for Large Scale Factor Image Super-Resolution
* Learning discriminability-preserving histogram representation from unordered features for multibiometric feature-fused-template protection
* Learning Discriminant Direction Binary Palmprint Descriptor
* Learning Discriminant Face Descriptor for Face Recognition
* Learning Discriminant Face Descriptor
* Learning discriminant grassmann kernels for image-set classification
* Learning discriminated and correlated patches for multi-view object detection using sparse coding
* Learning Discriminating Features for Gender Recognition of Real World Faces
* Learning Discriminative Aggregation Network for Video-Based Face Recognition and Person Re-identification
* Learning Discriminative Aggregation Network for Video-Based Face Recognition
* Learning Discriminative alpha-beta-Divergences for Positive Definite Matrices
* Learning Discriminative and Generalizable Representations by Spatial-Channel Partition for Person Re-Identification
* Learning Discriminative and Generative Shape Embeddings for Three-Dimensional Shape Retrieval
* Learning discriminative and meaningful samples for generalized zero shot classification
* Learning Discriminative and Shareable Features for Scene Classification
* Learning Discriminative and Transformation Covariant Local Feature Detectors
* Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data
* Learning discriminative binary codes for finger vein recognition
* Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval
* Learning Discriminative Canonical Correlations for Object Recognition with Image Sets
* Learning Discriminative Chamfer Regularization
* Learning Discriminative Collections of Part Detectors for Object Recognition
* Learning discriminative compact binary face descriptor for kinship verification
* Learning Discriminative Compact Representation for Hyperspectral Imagery Classification
* Learning Discriminative Cross-Modality Features for RGB-D Saliency Detection
* Learning Discriminative Data Fitting Functions for Blind Image Deblurring
* Learning discriminative dictionaries with partially labeled data
* Learning Discriminative Dictionary for Group Sparse Representation
* Learning Discriminative Embedding for Hyperspectral Image Clustering Based on Set-to-Set and Sample-to-Sample Distances
* Learning Discriminative Feature Representation for Estimating Smoke Density of Smoky Vehicle Rear
* Learning discriminative feature representation with pixel-level supervision for forest smoke recognition
* Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation
* Learning discriminative features and metrics for measuring action similarity
* Learning Discriminative Features Based on Distribution
* Learning discriminative features for fast frame-based action recognition
* Learning Discriminative Features for Ground-Based Cloud Classification via Mutual Information Maximization
* Learning Discriminative Features via Label Consistent Neural Network
* Learning discriminative features via weights-biased softmax loss
* Learning Discriminative Features with Class Encoder
* Learning Discriminative Features with Region Attention and Refinement Network for Facial Expression Recognition in the Wild
* Learning Discriminative Hidden Structural Parts for Visual Tracking
* Learning Discriminative Hierarchical Features for Object Recognition
* Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions
* Learning Discriminative Key Poses for Action Recognition
* Learning Discriminative Latent Attributes for Zero-Shot Classification
* Learning Discriminative LBP-Histogram Bins for Facial Expression Recognition
* Learning discriminative local binary patterns for face recognition
* Learning Discriminative Local Patterns with Unrestricted Structure for Face Recognition
* Learning discriminative localization from weakly labeled data
* Learning Discriminative Model Prediction for Tracking
* Learning Discriminative Motion Feature for Enhancing Multi-Modal Action Recognition
* Learning discriminative occlusion feature for depth ordering inference on monocular image
* Learning Discriminative Part Detectors for Image Classification and Cosegmentation
* Learning Discriminative Part Features Through Attentions For Effective And Scalable Person Search
* Learning Discriminative Pattern for Real-Time Car Brand Recognition
* Learning Discriminative Prototypes with Dynamic Time Warping
* Learning Discriminative Reconstructions for Unsupervised Outlier Removal
* Learning discriminative region representation for person retrieval
* Learning Discriminative Representation For Facial Expression Recognition From Uncertainties
* Learning Discriminative Representation for Skeletal Action Recognition Using LSTM Networks
* Learning Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality Reduction
* Learning discriminative representations for multi-label image recognition
* Learning Discriminative Representations for Skeleton Based Action Recognition
* Learning Discriminative Shrinkage Deep Networks for Image Deconvolution
* Learning discriminative singular value decomposition representation for face recognition
* Learning Discriminative Space-Time Action Parts from Weakly Labelled Videos
* Learning discriminative space-time actions from weakly labelled videos
* Learning Discriminative Sparse Representations for Modeling, Source Separation, and Mapping of Hyperspectral Imagery
* Learning Discriminative Spatial Relations for Detector Dictionaries: An Application to Pedestrian Detection
* Learning discriminative spatial representation for image classification
* Learning Discriminative Spectral Bands for Material Classification
* Learning discriminative subregions and pattern orders for facial gender classification
* Learning discriminative supplementary features to attributes for novel-category classification
* Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition
* Learning discriminative update adaptive spatial-temporal regularized correlation filter for RGB-T tracking
* Learning Discriminative Video Representations Using Adversarial Perturbations
* Learning Discriminative Visual N-grams from Mid-level Image Features
* Learning discriminative visual semantic embedding for zero-shot recognition
* Learning Discriminatively Reconstructed Source Data for Object Recognition With Few Examples
* Learning Discriminatory Deep Clustering Models
* Learning Disentangled Feature Representation for Hybrid-Distorted Image Restoration
* Learning Disentangled Feature Representations For Anomaly Detection
* Learning Disentangled Features for NERF-Based Face Reconstruction
* Learning Disentangled Multimodal Representations for the Fashion Domain
* Learning Disentangled Representation for Multi-View 3D Object Recognition
* Learning Disentangled Representation Implicitly Via Transformer for Occluded Person Re-Identification
* Learning disentangled representations for controllable human motion prediction
* Learning Disentangled Representations for Identity Preserving Surveillance Face Camouflage
* Learning Disentangled Representations via Independent Subspaces
* Learning Disentangled Representations via Mutual Information Estimation
* Learning Disentangled Representations with Latent Variation Predictability
* Learning Disentanglement with Decoupled Labels for Vision-Language Navigation
* Learning disentangling and fusing networks for face completion under structured occlusions
* Learning distance functions for image retrieval
* Learning distance metric for semi-supervised image segmentation
* Learning distance metric regression for facial age estimation
* Learning Distance Metrics with Contextual Constraints for Image Retrieval
* Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images
* Learning Distances Between Graph Nodes and Edges
* Learning Distances for Arbitrary Visual Features
* Learning Distinctive Margin toward Active Domain Adaptation
* Learning Distortion Invariant Representation for Image Restoration from a Causality Perspective
* Learning Distribution Independent Latent Representation for 3D Face Disentanglement
* Learning Distributions of Shape Trajectories from Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms
* Learning diverse and deep clues for person reidentification
* Learning Diverse Fashion Collocation by Neural Graph Filtering
* Learning Diverse Image Colorization
* Learning Diverse Models for End-to-End Ensemble Tracking
* Learning Diverse Models: The Coulomb Structured Support Vector Machine
* Learning Diverse Tone Styles for Image Retouching
* Learning document structure for retrieval and classification
* Learning Domain-Adaptive Landmark Detection-Based Self-Supervised Video Synchronization for Remote Sensing Panorama
* Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation
* Learning domain-invariant feature for robust depth-image-based 3D shape retrieval
* Learning domain-shared group-sparse representation for unsupervised domain adaptation
* Learning Domain Invariant Prompt for Vision-Language Models
* Learning Domain Invariant Representations for Generalizable Person Re-Identification
* Learning Domain Knowledge for Façade Labelling
* Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms
* Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement
* Learning doubly sparse transforms for image representation
* Learning Doubly Sparse Transforms for Images
* Learning Driver Braking Behavior Using Smartphones, Neural Networks and the Sliding Correlation Coefficient: Road Anomaly Case Study
* Learning Driving Behaviors for Automated Cars in Unstructured Environments
* Learning Driving Models From Parallel End-to-End Driving Data Set
* Learning Dual-fused Modality-aware Representations for RGBD Tracking
* Learning Dual-Level Deep Representation for Thermal Infrared Tracking
* Learning Dual-Pooling Graph Neural Networks for Few-Shot Video Classification
* Learning Dual-Routing Capsule Graph Neural Network for Few-Shot Video Classification
* Learning dual attention enhancement feature for visible-infrared person re-identification
* Learning Dual Convolutional Neural Networks for Low-Level Vision
* Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue
* Learning Dual Geometric Low-Rank Structure for Semisupervised Hyperspectral Image Classification
* Learning Dual Low-Rank Representation for Multi-Label Micro-Video Classification
* Learning Dual Memory Dictionaries for Blind Face Restoration
* Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images
* Learning Dual Priors for JPEG Compression Artifacts Removal
* Learning Dual Semantic Relations With Graph Attention for Image-Text Matching
* Learning Dual Transformation Networks for Image Contrast Enhancement
* Learning Dynamic Alignment via Meta-filter for Few-shot Learning
* Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer
* Learning dynamic background for weakly supervised moving object detection
* Learning dynamic Bayesian network discriminatively for human activity recognition
* Learning dynamic Bayesian network models via cross-validation
* Learning Dynamic Event Descriptions in Image Sequences
* Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis
* Learning Dynamic Generative Attention for Single Image Super-Resolution
* Learning Dynamic GMM for Attention Distribution on Single-Face Videos
* Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving
* Learning Dynamic Guidance for Depth Image Enhancement
* Learning Dynamic Hierarchical Models for Anytime Scene Labeling
* Learning Dynamic Hybrid Markov Random Field for Image Labeling
* Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines
* Learning Dynamic Memory Networks for Object Tracking
* Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
* Learning dynamic relationship between joints for 3D hand pose estimation from single depth map
* Learning Dynamic Relationships for 3D Human Motion Prediction
* Learning Dynamic Relationships for Facial Expression Recognition Based on Graph Convolutional Network
* Learning Dynamic Routing for Semantic Segmentation
* Learning Dynamic Siamese Network for Visual Object Tracking
* Learning Dynamic Spatial-Temporal Regularization for UAV Object Tracking
* Learning Dynamic Style Kernels for Artistic Style Transfer
* Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos
* Learning Dynamical Shape Prior for Level Set based Cell Tracking
* Learning dynamics for exemplar-based gesture recognition
* Learning Dynamics of Complex Motions from Image Sequences
* Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking
* Learning Early-Vision Computations
* Learning Edge-Specific Kernel Functions For Pairwise Graph Matching
* Learning edit cost estimation models for graph edit distance
* Learning EEG Topographical Representation for Classification Via Convolutional Neural Network
* Learning Effect of Lay People in Gesture-Based Locomotion in Virtual Reality
* Learning effective binary descriptors for micro-expression recognition transferred by macro-information
* Learning Effective Binary Descriptors via Cross Entropy
* Learning effective classifiers with Z-value measure based on genetic programming
* Learning effective color features for content based image retrieval in dermatology
* Learning Effective Event Models to Recognize a Large Number of Human Actions
* Learning effective features for 3D face recognition
* Learning effective Gait features using LSTM
* Learning Effective Global Receptive Field for Facial Expression Recognition
* Learning effective human pose estimation from inaccurate annotation
* Learning Effective Image Metrics from Few Pairwise Examples
* Learning Effective Intrinsic Features to Boost 3D-Based Face Recognition
* Learning Effective RGB-D Representations for Scene Recognition
* Learning Effectiveness Evaluation of Lesson Plan on Streamline in Model Design Course
* Learning efficient and interpretable prototypes from data for nearest neighbor classification method
* Learning Efficient Binarized Object Detectors With Information Compression
* Learning Efficient Binary Codes From High-Level Feature Representations for Multilabel Image Retrieval
* Learning efficient codes for 3D face recognition
* Learning Efficient Convolutional Networks through Network Slimming
* Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks
* Learning efficient facial landmark model for human attractiveness analysis
* Learning Efficient GANs for Image Translation via Differentiable Masks and Co-Attention Distillation
* Learning Efficient Hash Codes for Fast Graph-Based Data Similarity Retrieval
* Learning Efficient Linear Predictors for Motion Estimation
* Learning Efficient Multi-Agent Cooperative Visual Exploration
* Learning Efficient Photometric Feature Transform for Multi-view Stereo
* Learning Efficient Single-Stage Pedestrian Detectors by Asymptotic Localization Fitting
* Learning Efficient Sparse and Low Rank Models
* Learning efficient, explainable and discriminative representations for pulmonary nodules classification
* Learning Efficiently- The Deep CNNs-Tree Network
* Learning Ego 3D Representation as Ray Tracing
* Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
* Learning Emotion Representations from Verbal and Nonverbal Communication
* Learning Emotional-Blinded Face Representations
* Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
* Learning End-to-End Lossy Image Compression: A Benchmark
* Learning Energy-Based Models with Adversarial Training
* Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns
* Learning Energy Based Inpainting for Optical Flow
* Learning Enhanced 3d Models for Vehicle Tracking
* Learning Enhanced Acoustic Latent Representation for Small Scale Affective Corpus with Adversarial Cross Corpora Integration
* Learning Enhanced Resolution-Wise Features For Human Pose Estimation
* Learning Enriched Features for Fast Image Restoration and Enhancement
* Learning Enriched Features for Real Image Restoration and Enhancement
* Learning Enriched Hop-Aware Correlation for Robust 3D Human Pose Estimation
* Learning ensemble classifiers via restricted Boltzmann machines
* Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables
* learning environment for sign language, A
* Learning environmental features for pose estimation
* Learning Epipolar-Spatial Relationship for Light Field Image Super-Resolution
* Learning epipolar geometry from image sequences
* Learning equivariant structured output SVM regressors
* Learning error-correcting graph matching with a multiclass neural network
* Learning Error-Driven Curriculum for Crowd Counting
* Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification
* Learning Evasion Strategy in Pursuit-Evasion by Deep Q-network
* Learning Event-Based Motion Deblurring
* Learning Event-driven Video Deblurring and Interpolation
* Learning Event Guided High Dynamic Range Video Reconstruction
* Learning event guided network for salient object detection
* Learning Event Representations by Encoding the Temporal Context
* Learning Event Representations for Temporal Segmentation of Image Sequences by Dynamic Graph Embedding
* Learning Everyday Manipulation Tasks from Observation
* Learning Everything about Anything: Webly-Supervised Visual Concept Learning
* Learning evolving user's behaviors on location-based social networks
* Learning Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects
* Learning explicit and implicit visual manifolds by information projection
* Learning explicit video attributes from mid-level representation for video captioning
* Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition
* Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition
* Learning Expressive Prompting With Residuals for Vision Transformers
* Learning Extended Depth of field Hyperspectral Imaging
* Learning Extremal Representations with Deep Archetypal Analysis
* Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number
* Learning Face Age Progression: A Pyramid Architecture of GANs
* Learning Face Appearance under Different Lighting Conditions
* Learning Face Deblurring Fast and Wide
* Learning Face Detection, Neural Nets, SVM
* Learning Face Image Super-Resolution Through Facial Semantic Attribute Transformation and Self-Attentive Structure Enhancement
* Learning face recognition from limited training data using deep neural networks
* Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering
* Learning facial action units with spatiotemporal cues and multi-label sampling
* Learning Facial Point Response for Alignment by Purely Convolutional Network
* Learning Facial Representations from the Cycle-consistency of Face
* Learning Fair Classifiers with Partially Annotated Group Labels
* Learning Fashion By Simulated Human Supervision
* Learning Fashion Compatibility Across Apparel Categories for Outfit Recommendation
* Learning Fashion Compatibility from In-the-wild Images
* Learning Fashion Compatibility With Context Conditioning Embedding
* Learning Fast and Robust Target Models for Video Object Segmentation
* Learning Fast Converging, Effective Conditional Generative Adversarial Networks with a Mirrored Auxiliary Classifier
* Learning Fast Emulators of Binary Decision Processes
* Learning Fast Low-Rank Projection for Image Classification
* Learning Fast Sample Re-weighting Without Reward Data
* Learning Feature-Sparse Principal Subspace
* Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning
* Learning Feature Aggregation for Deep 3D Morphable Models
* Learning feature aggregation in temporal domain for re-identification
* Learning Feature Channel Weighting for Real-Time Visual Tracking
* Learning Feature Characteristics
* Learning feature contexts by transformer and CNN hybrid deep network for weakly supervised person search
* Learning Feature Descriptors Using Camera Pose Supervision
* Learning Feature Distance Measures for Image Correspondences
* Learning Feature Embeddings for Discriminant Model Based Tracking
* Learning Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework
* Learning Feature Fusion for Unsupervised Domain Adaptive Person Re-identification
* Learning feature fusion strategies for various image types to detect salient objects
* Learning Feature Hierarchies: A Layer-Wise Tag-Embedded Approach
* Learning Feature Pyramids for Human Pose Estimation
* Learning Feature Recovery Transformer for Occluded Person Re-Identification
* Learning feature relevance and similarity metrics in image databases
* Learning Feature Representation and Partial Correlation for Multimodal Multi-Label Data
* Learning Feature Representation for Face Verification
* Learning Feature Subspaces for Appearance-Based Bundle Adjustment
* Learning Feature Trajectories Using Gabor Filter Bank for Human Activity Segmentation and Recognition
* Learning feature transforms is an easier problem than feature selection
* Learning feature weights of symbols, with application to symbol spotting
* Learning Features and Parts for Fine-Grained Recognition
* Learning Features by Watching Objects Move
* Learning features combination for human action recognition from skeleton sequences
* Learning Features for Fingerprint Classification
* Learning Features for Human Action Recognition Using Multilayer Architectures
* Learning features for offline handwritten signature verification using deep convolutional neural networks
* Learning features for predicting OCR accuracy
* Learning features for streak detection in dermoscopic color images using localized radial flux of principal intensity curvature
* Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine
* Learning Features for Tracking
* Learning features from covariance matrix of gabor wavelet for face recognition under adverse conditions
* Learning Features of Intra-Consistency and Inter-Diversity: Keys Toward Generalizable Deepfake Detection
* Learning features on robotic surgical tools
* Learning Features Robust to Image Variations with Siamese Networks for Facial Expression Recognition
* Learning Federated Visual Prompt in Null Space for MRI Reconstruction
* Learning Few-shot Segmentation from Bounding Box Annotations
* Learning Filter Basis for Convolutional Neural Network Compression
* Learning Filter Functions in Regularisers by Minimising Quotients
* Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration
* Learning filter selection policies for interpretable image denoising in parametrised action space
* Learning Filters for the 2D Wavelet Transform
* Learning filters in Gaussian process classification problems
* Learning Fine-Grained Features for Pixel-wise Video Correspondences
* Learning Fine-Grained Image Similarity with Deep Ranking
* Learning Fine-Grained Segmentation of 3D Shapes without Part Labels
* Learning fingerprint minutiae location and type
* Learning Fingerprint Orientation Fields Using Continuous Restricted Boltzmann Machines
* Learning Fixation Point Strategy for Object Detection and Classification
* Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
* Learning Flexible Binary Code for Linear Projection Based Hashing with Random Forest
* Learning Flexible Features for Conditional Random Fields
* Learning Flexible Models from Image Sequences
* Learning Flexible Sprites in Video Layers
* Learning flipping and rotation invariant sparsifying transforms
* Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision
* Learning for Active 3D Mapping
* Learning for Computational Imaging
* Learning for Detecting Anomalies
* Learning for Disparity Estimation Through Feature Constancy
* Learning for feature selection and shape detection
* Learning for Graph-Based Sensorless Freehand 3D Ultrasound
* Learning for High Dynamic Range Generation
* Learning for Image Quality Evaluation, CNN, GAN
* Learning for mismatch removal via graph attention networks
* Learning for Multi-view 3D Tracking in the Context of Particle Filters
* Learning for Optical Flow Using Stochastic Optimization
* Learning for Principal Components, Eigen Representations
* Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences
* Learning for stereo vision using the structured support vector machine
* Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets
* Learning for Super Resolution
* Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement
* Learning for Video Compression
* Learning for Video Super-Resolution Through HR Optical Flow Estimation
* Learning Foreground-Background Segmentation from Improved Layered GANs
* Learning Foreground Information Bottleneck for few-shot semantic segmentation
* Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation
* Learning Formation of Physically-Based Face Attributes
* Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments
* Learning Framework for Age Rank Estimation Based on Face Images With Scattering Transform, A
* learning framework for degraded document image binarization using Markov Random Field, A
* Learning Framework for Morphological Operators Using Counter-Harmonic Mean, A
* Learning Framework for Object Recognition on Image Understanding, A
* learning framework for robust hashing of face images, A
* Learning Framework for Robust Obstacle Detection, Recognition, and Tracking
* learning framework for shape retrieval based on multilayer perceptrons, A
* Learning Framework for the Automatic and Accurate Segmentation of Cardiac Tagged MRI Images, A
* learning framework for the optimization and automation of document binarization methods, A
* Learning Free-Form Deformations for 3D Object Reconstruction
* Learning Frequency-aware Dynamic Network for Efficient Super-Resolution
* Learning Frequency-Specific Quantization Scaling in VVC for Standard-Compliant Task-Driven Image Coding
* Learning Frequent Behaviors of the Users in Intelligent Environments
* Learning from #Barcelona Instagram Data What Locals and Tourists Post About Its Neighbourhoods
* Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests
* Learning from a single labeled face and a stream of unlabeled data
* Learning From a Small Number of Training Examples by Exploiting Object Categories
* Learning from Accidents: Spatial Intelligence Applied to Road Accidents with Insights from a Case Study in Setubal District, Portugal
* Learning from adaptive neural control for a class of pure-feedback systems
* Learning from All Vehicles
* Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction
* Learning from Ambiguously Labeled Face Images
* Learning from ambiguously labeled images
* Learning from Better Supervision: Self-distillation for Learning with Noisy Labels
* Learning From Coding Features: High Efficiency Rate Control for AOMedia Video 1
* Learning From Cross-Domain Media Streams for Event-of-Interest Discovery
* Learning from crowds with variational Gaussian processes
* Learning from Data Stream Based on Random Projection and Hoeffding Tree Classifier
* Learning from data: A post classification method for annual land cover analysis in urban areas
* Learning from Designers: Fashion Compatibility Analysis Via Dataset Distillation
* Learning from Diffusion-Weighted Magnetic Resonance Images Using Graph Kernels
* Learning from Enhanced Contextual Similarity in Brain Imaging Data for Classification of Schizophrenia
* Learning from EPI-Volume-Stack for Light Field image angular super-resolution
* Learning From Errors in Super-Resolution
* Learning From Examples in the Small Sample Case: Face Expression Recognition
* Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
* Learning From GPS Trajectories of Floating Car for CNN-Based Urban Road Extraction With High-Resolution Satellite Imagery
* Learning From Hierarchical Spatiotemporal Descriptors for Micro-Expression Recognition
* Learning from High-Dimensional Data in Multitask/Multilabel Classification
* Learning from Ideal Edge for Image Restoration
* Learning From Images: A Distillation Learning Framework for Event Cameras
* Learning From Imbalanced Data With Deep Density Hybrid Sampling
* Learning from Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding
* Learning From Incorrectness: Active Learning With Negative Pre-Training and Curriculum Querying for Histological Tissue Classification
* Learning from interpolated images using neural networks for digital forensics
* Learning from Labeled and Unlabeled Data Using Random Walks
* Learning From Large-Scale Noisy Web Data With Ubiquitous Reweighting for Image Classification
* Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game
* Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision
* Learning From Limited or Imperfect Data
* Learning from Longitudinal Face Demonstration: Where Tractable Deep Modeling Meets Inverse Reinforcement Learning
* Learning from massive noisy labeled data for image classification
* Learning from Millions of 3D Scans for Large-Scale 3D Face Recognition
* Learning from Mistakes: Object Movement Classification by the Boosted Features
* Learning from mobile contexts to minimize the mobile location search latency
* Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces
* Learning from multi metrics for stereoscopic 3D image quality assessment
* Learning from multimodal and multitemporal earth observation data for building damage mapping
* Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion
* Learning from multiple annotators for medical image segmentation
* Learning from multiple annotators using kernel alignment
* Learning from multiple annotators: Distinguishing good from random labelers
* Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT
* Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
* Learning from Multiple Sources for Video Summarisation
* Learning from Narrated Instruction Videos
* Learning From Naturalistic Driving Data for Human-Like Autonomous Highway Driving
* Learning from negative example in relevance feedback for content-based image retrieval
* Learning from Nighttime Observations of Gas Flaring in North Dakota for Better Decision and Policy Making
* Learning From Noisy Anchors for One-Stage Object Detection
* Learning From Noisy Correspondence With Tri-Partition for Cross-Modal Matching
* Learning from Noisy Data with Robust Representation Learning
* Learning From Noisy Labels by Regularized Estimation of Annotator Confusion
* Learning from Noisy Labels via Discrepant Collaborative Training
* Learning from Noisy Labels via Meta Credible Label Elicitation
* Learning from Noisy Labels with Coarse-to-fine Sample Credibility Modeling
* Learning from Noisy Labels with Decoupled Meta Label Purifier
* Learning from Noisy Labels with Distillation
* Learning from Noisy Large-Scale Datasets with Minimal Supervision
* Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization
* Learning from Noisy Web Data with Category-Level Supervision
* Learning from One Example through Shared Densities on Transforms
* Learning From Paired and Unpaired Data: Alternately Trained CycleGAN for Near Infrared Image Colorization
* Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation
* Learning from partially supervised data using mixture models and belief functions
* Learning from PhotoShop Operation Videos: The PSOV Dataset
* Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation
* Learning from Pixel-Level Noisy Label: A New Perspective for Light Field Saliency Detection
* Learning from Real Images to Model Lighting Variations for Face Images
* Learning from rehabilitation: A bi-manual interface approach
* Learning from Scale-invariant Examples for Domain Adaptation in Semantic Segmentation
* Learning from scratch a confidence measure
* Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition
* Learning From Short Text Streams With Topic Drifts
* Learning from Simulated and Unsupervised Images through Adversarial Training
* Learning from sparse codes
* Learning from summaries of videos: Applying batch mode active learning to face-based biometrics
* Learning From Synthetic Animals
* Learning From Synthetic CT Images via Test-Time Training for Liver Tumor Segmentation
* Learning From Synthetic Data for Crowd Counting in the Wild
* Learning From Synthetic Data for Crowd Instance Segmentation in the Wild
* Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
* Learning from Synthetic Humans
* Learning From Synthetic Images via Active Pseudo-Labeling
* Learning From Synthetic Photorealistic Raindrop for Single Image Raindrop Removal
* Learning From Synthetic Shadows for Shadow Detection and Removal
* Learning from Synthetic Vehicles
* Learning From Teacher's Failure: A Reflective Learning Paradigm for Knowledge Distillation
* Learning from Temporal Gradient for Semi-supervised Action Recognition
* Learning from the 2018 Western Japan Heavy Rains to Detect Floods during the 2019 Hagibis Typhoon
* Learning from the CNN-based Compressed Domain
* Learning From the Fleet: Map Attributes for Energetic Representation of Driving Profiles
* Learning from the Informality. Using GIS Tools to Analyze the Structure of Autopoietic Urban Systems in the Smart Perspective
* Learning from the Master: Distilling Cross-modal Advanced Knowledge for Lip Reading
* Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning
* Learning from the Negativity: Deep Negative Correlation Meta-learning for Adversarial Image Classification
* Learning from the Schema Learning System
* Learning from the Web: Webly Supervised Meta-Learning for Masked Face Recognition
* Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning
* Learning from Unique Perspectives: User-aware Saliency Modeling
* Learning from Unlabeled 3D Environments for Vision-and-Language Navigation
* Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency
* Learning from User Behavior in Image Retrieval: Application of Market Basket Analysis
* Learning from Video and Text via Large-Scale Discriminative Clustering
* Learning From Visual Demonstrations via Replayed Task-Contrastive Model-Agnostic Meta-Learning
* Learning from Weak and Noisy Labels for Semantic Segmentation
* Learning from Weakly-Labeled Clinical Data for Automatic Thyroid Nodule Classification in Ultrasound Images
* Learning from weakly labeled faces and video in the wild
* Learning From Web Data With Self-Organizing Memory Module
* Learning from Web Data: Improving Crowd Counting via Semi-Supervised Learning
* Learning From Web Recipe-Image Pairs for Food Recognition: Problem, Baselines and Performance
* Learning From Web Videos for Event Classification
* Learning from What is Already Out There: Few-shot Sign Language Recognition with Online Dictionaries
* Learning full-reference quality-guided discriminative gradient cues for lane detection based on neural networks
* Learning full context feature for human motion prediction
* Learning Full Pairwise Affinities for Spectral Segmentation
* Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution
* Learning function-based object classification from 3D imagery
* Learning Fundamental Visual Concepts Based on Evolved Multi-Edge Concept Graph
* Learning Furniture Compatibility with Graph Neural Networks
* Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields
* Learning Future-Aware Correlation Filters for Efficient UAV Tracking
* Learning Fuzzy Algorithm for Motion Planning of Mobile Robots
* Learning Gabor Magnitude Features for Palmprint Recognition
* Learning Gabor Texture Features for Fine-Grained Recognition
* Learning Gait Parameters for Locomotion in Virtual Reality Systems
* Learning Gait Representation From Massive Unlabelled Walking Videos: A Benchmark
* Learning Gated Non-Local Residual for Single-Image Rain Streak Removal
* Learning Gaussian Conditional Random Fields for Low-Level Vision
* Learning gaze biases with head motion for head pose-free gaze estimation
* Learning Gaze Transitions from Depth to Improve Video Saliency Estimation
* Learning gender from human gaits and faces
* Learning Gender with Support Faces
* Learning General-Purpose Representations for Cross-Domain Hyperspectral Images Classification with Small Samples
* Learning General and Distinctive 3D Local Deep Descriptors for Point Cloud Registration
* Learning General Descriptors for Image Matching With Regression Feedback
* Learning general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold
* Learning general optical flow subspaces for egomotion estimation and detection of motion anomalies
* Learning Generalisable Omni-Scale Representations for Person Re-Identification
* Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations
* Learning Generalized Feature for Temporal Action Detection: Application for Natural Driving Action Recognition Challenge
* Learning Generalized Knowledge From a Single Domain on Urban-Scene Segmentation
* Learning Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality Assessment
* Learning Generalized Transformation Equivariant Representations Via AutoEncoding Transformations
* Learning generalized visual odometry using position-aware optical flow and geometric bundle adjustment
* Learning Generative ConvNets via Multi-grid Modeling and Sampling
* Learning Generative Graph Prototypes Using Simplified von Neumann Entropy
* Learning Generative Models for Monocular Body Pose Estimation
* Learning Generative Models for Multi-Activity Body Pose Estimation
* Learning Generative Models of Object Parts from a Few Positive Examples
* Learning Generative Models of Scene Features
* Learning Generative Models of Shape Handles
* Learning Generative Models of Textured 3D Meshes from Real-World Images
* Learning Generative Models of Tissue Organization with Supervised GANs
* Learning Generative Models via Discriminative Approaches
* Learning Generative Structure Prior for Blind Text Image Super-resolution
* Learning generative texture models with extended Fields-of-experts
* Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
* Learning Generator Networks for Dynamic Patterns
* Learning Generic Feature Representations with Adversarial Regularization for Person Re-Identification
* Learning Generic Human Body Models
* Learning Generic Invariances in Object Recognition: Translation and Scale
* Learning Generic Prior Models for Visual Computation
* Learning generic third-order MGRF texture models
* Learning Geocentric Object Pose in Oblique Monocular Images
* Learning geodesic-aware local features from RGB-D images
* Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs
* Learning geodesic CRF model for image segmentation
* Learning Geographical Hierarchy Features via a Compositional Model
* Learning Geographically Distributed Data for Multiple Tasks Using Generative Adversarial Networks
* Learning Geomatics for Restoration: Icomos Summer School in Ossola Valley
* Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs
* Learning geometric consistency and discrepancy for category-level 6D object pose estimation from point clouds
* Learning Geometric Equivalence between Patterns Using Embedding Neural Networks
* Learning Geometric Hashing Functions for Model Based Object Recognition
* Learning Geometric Transformation for Point Cloud Completion
* Learning geometrical transforms between multi camera views using Canonical Correlation Analysis
* Learning Geometry-Aware Kernels in a Regularization Framework
* Learning Geometry-aware Representations by Sketching
* Learning Gestures for Visually Mediated Interaction
* Learning Global-aware Kernel for Image Harmonization
* Learning Global and Cluster-Specific Classifiers for Robust Brain Extraction in MR Data
* Learning global and local features using graph neural networks for person re-identification
* Learning Global Brain Microstructure Maps Using Trainable Sparse Encoders
* Learning global cost function for face alignment
* Learning Global Evapotranspiration Dataset Corrections from a Water Cycle Closure Supervision
* Learning global image representation with generalized-mean pooling and smoothed average precision for large-scale CBIR
* Learning Global Pose Features in Graph Convolutional Networks for 3d Human Pose Estimation
* Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
* Learning Globally Optimized Object Detector via Policy Gradient
* Learning GMM Using Elliptically Contoured Distributions
* Learning GMRF Structures for Spatial Priors
* Learning Goals from Failure
* Learning good features for Active Shape Models
* Learning Good Features to Transfer Across Tasks and Domains
* Learning good prototypes for classification using filtering and abstraction of instances
* Learning Good Regions to Deblur Images
* Learning Gradient Fields for Shape Generation
* Learning grammar rules of building parts from precise models and noisy observations
* Learning Grammars for Architecture-Specific Facade Parsing
* Learning Grammatical Models for Object Recognition
* Learning Graph-convolutional Representations for Point Cloud Denoising
* Learning graph-matching edit-costs based on the optimality of the oracle's node correspondences
* Learning Graph-Matching Substitution Costs Based on the Optimality of the Oracle's Correspondence
* Learning graph affinities for spectral graph-based salient object detection
* Learning Graph Convolutional Networks for Multi-Label Recognition and Applications
* Learning Graph Cut Energy Functions for Image Segmentation
* Learning Graph Distances with Message Passing Neural Networks
* Learning graph edit distance by graph neural networks
* Learning Graph Embeddings for Compositional Zero-shot Learning
* Learning Graph Embeddings for Open World Compositional Zero-Shot Learning
* Learning Graph Enhanced Spatial-Temporal Coherence for Video Anomaly Detection
* Learning Graph Features for Colored Mesh Visual Quality Assessment
* Learning Graph Matching Substitution Weights based on a Linear Regression
* Learning Graph Matching with a Graph-Based Perceptron in a Classification Context
* Learning Graph Matching
* Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes
* Learning Graph Model for Different Dimensions Image Matching
* Learning Graph Neural Networks for Image Style Transfer
* Learning graph prototypes for shape recognition
* Learning Graph Regularisation for Guided Super-Resolution
* Learning Graph Structure for Multi-Label Image Classification Via Clique Generation
* Learning Graph Topology Representation with Attention Networks
* Learning Graph Variational Autoencoders with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation
* Learning Graphical Model for Human Motion Characterization Using Genetic Optimization
* Learning Graphical Model Parameters with Approximate Marginal Inference
* Learning Graphs for Knowledge Transfer with Limited Labels
* Learning Graphs to Match
* Learning Graphs to Model Visual Objects across Different Depictive Styles
* Learning Grimaces by Watching TV
* Learning group-based dictionaries for discriminative image representation
* Learning Group-Based Sparse and Low-Rank Representation for Hyperspectral Image Classification
* Learning Group Activities from Skeletons without Individual Action Labels
* Learning Group Activity in Soccer Videos from Local Motion
* Learning Grouping Strategies for 2D and 3D Object Recognition
* Learning Guided Attention Masks for Facial Action Unit Recognition
* Learning Guided Convolutional Network for Depth Completion
* Learning Hadamard-Product-Propagation for Image Dehazing and Beyond
* Learning Hand Articulations by Hallucinating Heat Distribution
* Learning Hand/Eye Coordination By an Active Observer
* Learning handwriting by evolution: a conceptual framework for performance evaluation and tuning
* Learning handwriting with pen-based systems: computational issues
* Learning Handwritten Digit Recognition by the Max-Min Posterior Pseudo-Probabilities Method
* Learning Harmonised Pleiades and Sentinel-2 Surface Reflectances
* Learning Hash Codes with Listwise Supervision
* Learning Heavily-Degraded Prior for Underwater Object Detection
* Learning hetero-synaptic delays for motion detection in a single layer of spiking neurons
* Learning Hidden Graphs From Samples
* Learning Hidden Semantic Cues Using Support Vector Clustering
* Learning hierarchical 3D kernel descriptors for RGB-D action recognition
* Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis
* Learning Hierarchical Bag of Words Using Naive Bayes Clustering
* Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation
* Learning Hierarchical Decision Trees for Single-Image Super-Resolution
* Learning Hierarchical Feature Representation in Depth Image
* Learning Hierarchical Features for Scene Labeling
* Learning Hierarchical Features for Visual Object Tracking With Recursive Neural Networks
* Learning Hierarchical Features with Joint Latent Space Energy-Based Prior
* Learning Hierarchical Graph Neural Networks for Image Clustering
* Learning Hierarchical Image Representation with Sparsity, Saliency and Locality
* Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis
* Learning Hierarchical Models for Class-Specific Reconstruction from Natural Data
* Learning Hierarchical Models of Complex Daily Activities from Annotated Videos
* Learning Hierarchical Models of Scenes, Objects, and Parts
* Learning Hierarchical Modular Networks for Video Captioning
* Learning hierarchical poselets for human parsing
* Learning hierarchical representations for face verification with convolutional deep belief networks
* Learning Hierarchical Representations of Objects
* Learning Hierarchical Self-Attention for Video Summarization
* Learning Hierarchical Semantic Description Via Mixed-Norm Regularization for Image Understanding
* Learning Hierarchical Shape Models from Examples
* Learning hierarchical similarity metrics
* Learning Hierarchical Space Tiling for Scene Modeling, Parsing and Attribute Tagging
* Learning hierarchical spatio-temporal pattern for human activity prediction
* Learning Hierarchical Spectral-Spatial Features for Hyperspectral Image Classification
* Learning Hierarchical Variational Autoencoders With Mutual Information Maximization for Autoregressive Sequence Modeling
* Learning hierarchical video representation for action recognition
* Learning Hierarchy Aware Features for Reducing Mistake Severity
* Learning high-dimensional image statistics for abnormality detection on medical images
* Learning high-dimensional networks with nonlinear interactions by a novel tree-embedded graphical model
* Learning High-Fidelity Face Texture Completion without Complete Face Texture
* Learning High-Level Feature by Deep Belief Networks for 3-D Model Retrieval and Recognition
* Learning high-level features by fusing multi-view representation of MLS point clouds for 3D object recognition in road environments
* Learning High-level Features for Satellite Image Classification With Limited Labeled Samples
* Learning high-level independent components of images through a spectral representation
* Learning High-Level Judgments of Urban Perception
* Learning High-Order Filters for Efficient Blind Deconvolution of Document Photographs
* Learning High-Order Multi-View Representation by New Tensor Canonical Correlation Analysis
* Learning High-Order Structures for Texture Retrieval
* Learning High-Speed Flight in the Wild
* Learning High Dynamic Range from Outdoor Panoramas
* Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos
* Learning Higher-Order Markov Models for Object Tracking in Image Sequences
* Learning Higher-order Transition Models in Medium-scale Camera Networks
* Learning Higher Order Potentials for MRFs
* Learning histopathological regions of interest by fusing bottom-up and top-down information
* Learning Hough Forest with Depth-Encoded Context for Object Detection
* Learning Hough Transform with Latent Structures for Joint Object Detection and Pose Estimation
* Learning How to Combine Internal and External Denoising Methods
* Learning how to combine sensory-motor functions into a robust behavior
* Learning how to find patterns or objects in complex scenes
* Learning how to inpaint from global image statistics
* Learning How to MIMIC: Using Model Explanations to Guide Deep Learning Training
* Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets
* Learning Human-Human Interactions in Images from Weak Textual Supervision
* Learning Human-Like Opponent Behavior for Interactive Computer Games
* Learning Human-Object Interaction Detection Using Interaction Points
* Learning Human-Object Interaction via Interactive Semantic Reasoning
* Learning Human-Object Interactions by Graph Parsing Neural Networks
* Learning Human-Robot Interaction for Robot-Assisted Pedestrian Flow Optimization
* Learning Human-to-Robot Handovers from Point Clouds
* Learning Human Actions by Combining Global Dynamics and Local Appearance
* Learning human actions via information maximization
* Learning human behaviour patterns in work environments
* Learning Human Cognition via fMRI Analysis Using 3d Cnn and Graph Neural Network
* Learning Human Dynamics in Autonomous Driving Scenarios
* Learning human face detection in cluttered scenes
* Learning Human Interaction by Interactive Phrases
* Learning Human Mesh Recovery in 3D Scenes
* Learning human motion models from unsegmented videos
* Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition
* Learning human preferences to sharpen images
* Learning Human Priors for Task-Constrained Grasping
* Learning human shape model from multiple databases with correspondence considering kinematic consensus
* Learning Hybrid Image Templates (HIT) by Information Projection
* Learning Hybrid Part Filters for Scene Recognition
* Learning hybrid ranking representation for person re-identification
* Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space
* Learning Hybrid Semantic Affinity for Point Cloud Segmentation
* Learning Hyperedge Replacement Grammars for Graph Generation
* Learning Hypergraph-regularized Attribute Predictors
* Learning HyperSurfaces with Neural Networks
* Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation
* Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment
* Learning Illuminant Estimation from Object Recognition
* Learning Illumination Models While Tracking
* Learning Image-Adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-Time
* Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration
* Learning Image-Based Contaminant Detection in Wool Fleece from Noisy Annotations
* Learning image-specific parameters for interactive segmentation
* Learning Image-to-Image Translation Using Paired and Unpaired Training Samples
* Learning image aesthetic subjectivity from attribute-aware relational reasoning network
* Learning Image Aesthetics by Learning Inpainting
* Learning image alignment without local minima for face detection and tracking
* Learning Image Anchor Templates for Document Classification and Data Extraction
* Learning Image and User Features for Recommendation in Social Networks
* Learning Image and Video Compression Through Spatial-Temporal Energy Compaction
* Learning Image Annotation: The Cite System
* Learning image compressed sensing with sub-pixel convolutional generative adversarial network
* Learning Image Context for Improved Computer-Aided Diagnosis
* Learning image descriptors for matching based on Haar features
* Learning Image Descriptors with Boosting
* Learning Image Feature Extraction: Modeling, Tracking and Predicting Human Performance
* Learning Image Harmonization in the Linear Color Space
* Learning Image Inpainting from Incomplete Images using Self-Supervision
* Learning image manifold using neighboring similarity integration
* Learning Image Matching by Simply Watching Video
* Learning Image Profile Enhancement and Denoising Statistics Priors for Single-Image Super-Resolution
* Learning Image Representation via Attribute-Aware Attention Networks for Fashion Classification
* Learning Image Representations by Completing Damaged Jigsaw Puzzles
* Learning image representations from the pixel level via hierarchical sparse coding
* Learning Image Representations Tied to Ego-Motion
* Learning Image Representations Tied to Egomotion from Unlabeled Video
* Learning image similarities via Probabilistic Feature Matching
* Learning Image Similarity from Flickr Groups Using Fast Kernel Machines
* Learning image similarity from Flickr groups using Stochastic Intersection Kernel Machines
* Learning Image Statistics for Bayesian Tracking
* Learning Image Structures for Optimizing Disparity Estimation
* Learning Image to Symbol Conversion
* Learning Image Transformations without Training Examples
* Learning image Vicept description via mixed-norm regularization for large scale semantic image search
* Learning images using compositional pattern-producing neural networks for source camera identification and digital demographic diagnosis
* Learning Imbalanced Data with Vision Transformers
* Learning Imbalanced Datasets With Maximum Margin Loss
* Learning IMED via shift-invariant transformation
* Learning Implicit Feature Alignment Function for Semantic Segmentation
* Learning Implicit Fields for Generative Shape Modeling
* Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects
* Learning Implicit Generative Models by Matching Perceptual Features
* Learning implicit labeling-importance and label correlation for multi-label feature selection with streaming labels
* Learning Implicit Surface Light Fields
* Learning Implicit Templates for Point-Based Clothed Human Modeling
* Learning Implicit Transfer for Person Re-identification
* Learning Important Spatial Pooling Regions for Scene Classification
* Learning in a self-organising pattern formation system
* Learning in an Active Hybrid Vision System
* Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
* Learning in Computer Vision
* Learning in Computer Vision: Some Thoughts
* Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
* Learning in hidden annotation-based image retrieval
* Learning in imbalanced relational data
* Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels
* Learning in Navigation: Goal Finding in Graphs
* Learning in Pattern Recognition: Some Thoughts
* Learning in Precision Livestock Farming
* Learning in Random Nets
* Learning in Region-Based Image Retrieval with Generalized Support Vector Machines
* Learning in Robot Vision Directed Reaching: A Comparison of Methods
* Learning in Syntactic Recognition of Symbols Drawn on a Graphic Tablet
* Learning in Target Tracking Techniques, Motion Model
* Learning in the Frequency Domain
* Learning incoherent light emission steering from metasurfaces using generative models
* Learning Independent Object Motion From Unlabelled Stereoscopic Videos
* Learning Indexing Functions for 3-D Model-Based Object Recognition
* Learning individual-specific dictionaries with fused multiple features for face recognition
* Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis
* Learning Individual Styles of Conversational Gesture
* Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting
* Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction
* Learning Informative and Discriminative Features for Facial Expression Recognition in the Wild
* Learning informative and discriminative semantic features for robust facial expression recognition
* Learning Informative Edge Maps for Indoor Scene Layout Prediction
* Learning informative point classes for the acquisition of object model maps
* Learning Inhomogeneous FRAME Models for Object Patterns
* Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy
* Learning initial feature weights for CBIR using query augmentation
* Learning Inner-Group Relations on Point Clouds
* Learning instance-aware object detection using determinantal point processes
* Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce
* Learning Instance-level Spatial-Temporal Patterns for Person Re-identification
* Learning Instance-Specific Adaptation for Cross-Domain Segmentation
* Learning instance-to-class distance for human action recognition
* Learning Instance Activation Maps for Weakly Supervised Instance Segmentation
* Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning
* Learning Instance Occlusion for Panoptic Segmentation
* Learning Instance Segmentation by Interaction
* Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation
* Learning integrated online indexing for image databases
* Learning integrated perception-based speed control
* Learning Intelligent Dialogs for Bounding Box Annotation
* Learning inter-related visual dictionary for object recognition
* Learning Inter-superpoint Affinity for Weakly Supervised 3d Instance Segmentation
* Learning Interaction-Aware Guidance for Trajectory Optimization in Dense Traffic Scenarios
* Learning interaction protocols by mimicking understanding and reproducing human interactive behavior
* Learning Interactions and Relationships Between Movie Characters
* Learning interactive multi-object segmentation through appearance embedding and spatial attention
* Learning interlaced sparse Sinkhorn matching network for video super-resolution
* Learning Interleaved Cascade of Shrinkage Fields for Joint Image Dehazing and Denoising
* Learning Internal Semantics with Expanded Categories for Generative Zero-shot Learning
* Learning Interpolation via Regional Map for Pan-Sharpening
* Learning Interpretable Forensic Representations via Local Window Modulation
* Learning Interpretable Representation for 3D Point Clouds
* Learning Interpretable Rules for Scalable Data Representation and Classification
* Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation
* Learning Intra-Video Difference for Person Re-Identification
* Learning Intrinsic Image Decomposition by Deep Neural Network with Perceptual Loss
* Learning Intrinsic Image Decomposition from Watching the World
* Learning Intrinsic Video Content Using Levenshtein Distance in Graph Partitioning
* Learning Intrusion Detection: Supervised or Unsupervised?
* Learning Intuitive Physics by Explaining Surprise
* Learning Invariance From Generated Variance for Unsupervised Person Re-Identification
* Learning invariance through imitation
* Learning invariances with Stationary Subspace Analysis
* Learning Invariant Color Features for Person Reidentification
* Learning invariant color features with sparse topographic restricted Boltzmann machines
* Learning Invariant Feature Hierarchies
* Learning invariant features through topographic filter maps
* Learning invariant region descriptor operators with genetic programming and the F-measure
* Learning invariant representation for unsupervised domain adaptive thorax disease classification
* Learning Invariant Representation for Unsupervised Image Restoration
* Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
* Learning Invariant Riemannian Geometric Representations Using Deep Nets
* Learning invariant structure for object identification by using graph methods
* Learning Invariant Visual Representations for Compositional Zero-Shot Learning
* Learning invariants to illumination changes typical of indoor environments: Application to image color correction
* Learning Inverse Depth Regression for Pixelwise Visibility-Aware Multi-View Stereo Networks
* Learning Invisible Markers for Hidden Codes in Offline-to-online Photography
* Learning isometry-invariant representations for point cloud analysis
* Learning Iteration-Dependent Denoisers for Model-Consistent Compressive Sensing
* Learning Iteration-wise Generalized Shrinkage: Thresholding Operators for Blind Deconvolution
* Learning Iterative Robust Transformation Synchronization
* Learning Iterative Strategies in Multi-Expert Systems Using SVMs for Digit Recognition
* Learning iteratively a classifier with the Bayesian Model Averaging Principle
* Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging
* Learning Joint 2D-3D Representations for Depth Completion
* Learning Joint Gait Representation via Quintuplet Loss Minimization
* Learning Joint Intensity-Depth Sparse Representations
* Learning Joint Latent Space EBM Prior Model for Multi-layer Generator
* Learning Joint Reconstruction of Hands and Manipulated Objects
* Learning Joint Representations of Videos and Sentences with Web Image Search
* Learning Joint Spatial-temporal Transformations for Video Inpainting
* Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
* Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval
* Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
* Learning Kernel Expansions for Image Classification
* Learning Kernel for Conditional Moment-Matching Discrepancy-Based Image Classification
* Learning Kernel in Kernel-Based LDA for Face Recognition Under Illumination Variations
* Learning kernel logistic regression in the presence of class label noise
* Learning kernel parameters for kernel Fisher discriminant analysis
* Learning Kernel Subspace Classifier
* Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition
* Learning kernels for variants of normalized cuts: Convex relaxations and applications
* Learning kernels from labels with ideal regularization
* Learning key lines for multi-object tracking
* Learning Kinematic Structure Correspondences Using Multi-Order Similarities
* Learning Knowledge-Directed Visual Strategies
* Learning Knowledge-Rich Sequential Model for Planar Homography Estimation in Aerial Video
* Learning knowledge representation with meta knowledge distillation for single image super-resolution
* Learning label correlations for multi-label image recognition with graph networks
* Learning Landmark Guided Embeddings for Animal Re-identification
* Learning Landmarks Motion from Speech for Speaker-agnostic 3d Talking Heads Generation
* Learning Lane Graph Representations for Motion Forecasting
* Learning language to symbol and language to vision mapping for visual grounding
* Learning Laplacians in Chebyshev Graph Convolutional Networks
* Learning Large-Scale Automatic Image Colorization
* Learning large margin likelihoods for realtime head pose tracking
* Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization
* Learning Latent Constituents for Recognition of Group Activities in Video
* Learning Latent Dynamics for Autonomous Shape Control of Deformable Object
* Learning latent geometric consistency for 6D object pose estimation in heavily cluttered scenes
* Learning Latent Global Network for Skeleton-Based Action Prediction
* Learning Latent Low-Rank and Sparse Embedding for Robust Image Feature Extraction
* Learning Latent ODEs With Graph RNN for Multi-Channel Time Series Forecasting
* Learning Latent Representations Across Multiple Data Domains Using Lifelong VaeGAN
* Learning Latent Representations of 3D Human Pose with Deep Neural Networks
* Learning Latent Stable Patterns for Image Understanding With Weak and Noisy Labels
* Learning Latent Structural Relations with Message Passing Prior
* Learning Latent Super-Events to Detect Multiple Activities in Videos
* Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures
* Learning latent temporal structure for complex event detection
* Learning Layer-Skippable Inference Network
* Learning Layered Motion Segmentation of Video
* Learning Layered Motion Segmentations of Video
* Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis
* Learning LBP structure by maximizing the conditional mutual information
* Learning Less is More: 6D Camera Localization via 3D Surface Regression
* Learning Light Field Synthesis with Multi-Plane Images: Scene Encoding as a Recurrent Segmentation Task
* Learning lightness from human judgement on relative reflectance
* Learning Lightweight and Superior Detectors with Feature Distillation for Onboard Remote Sensing Object Detection
* Learning Lightweight Lane Detection CNNs by Self Attention Distillation
* Learning Lightweight Low-Light Enhancement Network Using Pseudo Well-Exposed Images
* Learning Lightweight Multi-Scale Feedback Residual Network for Single Image Super-Resolution
* Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution
* Learning Lightweight Pedestrian Detector with Hierarchical Knowledge Distillation
* Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
* Learning Linear Assignment Flows for Image Labeling via Exponential Integration
* Learning Linear Discriminant Projections for Dimensionality Reduction of Image Descriptors
* Learning linear parameter-varying control of small-scale helicopter using episodic natural actor-critic method
* Learning linear PCA with convex semi-definite programming
* Learning Linear Regression via Single-Convolutional Layer for Visual Object Tracking
* Learning Linear Transformations for Fast Image and Video Style Transfer
* Learning Linguistic Association Towards Efficient Text-Video Retrieval
* Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation
* Learning Local-Global Multi-Graph Descriptors for RGB-T Object Tracking
* Learning Local and Deep Features for Efficient Cell Image Classification Using Random Forests
* Learning Local and Global Priors for JPEG Image Artifacts Removal
* Learning Local Appearances With Sparse Representation for Robust and Fast Visual Tracking
* Learning local binary patterns for gender classification on real-world face images
* Learning Local Convolutional Features for Face Recognition with 2D-Warping
* Learning local descriptors by optimizing the keypoint-correspondence criterion
* Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning From Unlabeled Videos and 3D-Shape Retrieval
* Learning Local Descriptors With a CDF-Based Dynamic Soft Margin
* Learning Local Displacements for Point Cloud Completion
* Learning Local Evidence for Shading and Reflectance
* Learning Local Feature Descriptors for Multiple Object Tracking
* Learning Local Feature Descriptors Using Convex Optimisation
* Learning local feature descriptors with triplets and shallow convolutional neural networks
* Learning local feature representation from matching, clustering and spatial transform
* Learning local image descriptors for word spotting
* Learning local image descriptors using binary decision trees
* Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions
* Learning Local Image Descriptors
* Learning Local Implicit Fourier Representation for Image Warping
* Learning Local Languages and Their Application to DNA Sequence Analysis
* Learning Local Metrics and Influential Regions for Classification
* Learning local metrics from pairwise similarity data
* Learning local models for 2D human motion tracking
* Learning Local Objective Functions for Robust Face Model Fitting
* Learning Local Patch Orientation with a Cascade of Sparse Regressors
* Learning local pixel structure for face hallucination
* Learning Local Quality-Aware Structures of Salient Regions for Stereoscopic Images via Deep Neural Networks
* Learning Local Recurrent Models for Human Mesh Recovery
* Learning Local Regularization for Variational Image Restoration
* Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment
* Learning Local RGB-to-CAD Correspondences for Object Pose Estimation
* Learning Local Similarity with Spatial Interrelations on Content-Based Image Retrieval
* Learning locality-constrained collaborative representation for robust face recognition
* Learning Localization-Aware Target Confidence for Siamese Visual Tracking
* Learning Localized Perceptual Similarity Metrics for Interactive Categorization
* Learning Localized Representations of Point Clouds With Graph-Convolutional Generative Adversarial Networks
* Learning Locally-Adaptive Decision Functions for Person Verification
* Learning Locally Editable Virtual Humans
* Learning Log-Determinant Divergences for Positive Definite Matrices
* Learning Logic Rules for Scene Interpretation Based on Markov Logic Networks
* Learning Long-range Information with Dual-Scale Transformers for Indoor Scene Completion
* Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network
* Learning Long-Term Invariant Features for Vision-Based Localization
* Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection
* Learning Long-Term Structural Dependencies for Video Salient Object Detection
* Learning long term face aging patterns from partially dense aging databases
* Learning Longterm Representations for Person Re-Identification Using Radio Signals
* Learning Loss for Active Learning
* Learning Low-Dimensional Representation of Bivariate Histogram Data
* Learning Low-Dimensional Temporal Representations with Latent Alignments
* Learning Low-Level Vision
* Learning low-rank and discriminative dictionary for image classification
* Learning Low-Rank and Sparse Discriminative Correlation Filters for Coarse-to-Fine Visual Object Tracking
* Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification
* Learning Low-Rank Graph With Enhanced Supervision
* Learning Low-Rank Sparse Representations With Robust Relationship Inference for Image Memorability Prediction
* Learning Low-Shot Generative Networks for Cross-Domain Data
* Learning low bending and low distortion manifold embeddings
* Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval
* Learning Low Dimensional Invariant Signature of 3-D Object under Varying View and Illumination from 2-D Appearances
* Learning Major Pedestrian Flows in Crowded Scenes
* Learning Manifold Structures With Subspace Segmentations
* Learning mappings for face synthesis from near infrared to visual light images
* Learning Maps for Indoor Mobile Robot Navigation
* Learning Marginalization through Regression for Hand Orientation Inference
* Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding
* Learning Markerless Human Pose Estimation from Multiple Viewpoint Video
* Learning Markov Clustering Networks for Scene Text Detection
* Learning Markov Networks by Analytic Center Cutting Plane Method
* Learning Match Kernels on Grassmann Manifolds for Action Recognition
* Learning Matching Behavior Differences for Compressing Vehicle Re-identification Models
* Learning Material-Aware Local Descriptors for 3D Shapes
* Learning Matrix Space Image Representations
* Learning Maximally Monotone Operators for Image Recovery
* Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees
* Learning Maximum Margin Temporal Warping for Action Recognition
* Learning mean progressive scattering using binomial truncated loss for image dehazing
* Learning Mechanism for Parts Recognition in an Intelligent Assembly System, A
* Learning Melanocytic Proliferation Segmentation in Histopathology Images from Imperfect Annotations
* Learning Membership Functions in a Function-Based Object Recognition System
* Learning Memory-Augmented Unidirectional Metrics for Cross-modality Person Re-identification
* Learning Memory-Guided Normality for Anomaly Detection
* Learning Memory Augmented Cascading Network for Compressed Sensing of Images
* Learning Mesh Representations via Binary Space Partitioning Tree Networks
* Learning Meshes for Dense Visual SLAM
* Learning message-passing inference machines for structured prediction
* Learning Meta-class Memory for Few-Shot Semantic Segmentation
* Learning Meta-Distance for Sequences by Learning a Ground Metric via Virtual Sequence Regression
* Learning Meta Face Recognition in Unseen Domains
* learning method for association between vision and ego-motion which is Capable of Adapting to Arbitrary Image Distortion, A
* Learning Method for Definite Canonicalization Based on Minimum Classification Error, A
* Learning Method for Feature Correspondence with Outliers, A
* Learning Method for Real-Time Repositioning in E-Hailing Services, A
* Learning Methodologies to Generate Kernel-Learning-Based Image Downscaler for Arbitrary Scaling Factors
* Learning methods for generic object recognition with invariance to pose and lighting
* Learning methods for melanoma recognition
* Learning metric-topological maps for indoor mobile robot navigation
* Learning Metric Features for Writer-Independent Signature Verification using Dual Triplet Loss
* Learning Metrics for Shape Classification and Discrimination
* Learning Metrics From Teachers: Compact Networks for Image Embedding
* Learning mid-level features for recognition
* Learning mid-level features from object hierarchy for image classification
* Learning Mid-level Filters for Person Re-identification
* Learning Midlevel Image Features for Natural Scene and Texture Classification
* Learning Minutiae Neighborhoods: A New Binary Representation for Matching Fingerprints
* Learning mixed-state Markov models for statistical motion texture tracking
* Learning mixed templates for object recognition
* Learning Mixture Models for Gender Classification Based on Facial Surface Normals
* Learning mixture models using a genetic version of the EM algorithm
* Learning mixture models with support vector machines for sequence classification and segmentation
* Learning Mixtures of Offline and Online features for Handwritten Stroke Recognition
* Learning mixtures of point distribution models with the EM algorithm
* Learning Mixtures of Weighted Tree-Unions by Minimizing Description Length
* Learning MLatent Representations for Generalized Zero-Shot Learning
* Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification
* Learning Modal-Invariant Angular Metric by Cyclic Projection Network for VIS-NIR Person Re-Identification
* Learning modality-invariant binary descriptor for crossing palmprint to palm-vein recognition
* Learning modality-invariant features for heterogeneous face recognition
* Learning Modality-Specific Representations for Visible-Infrared Person Re-Identification
* Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos
* Learning Model Complexity in an Online Environment
* Learning Model Descriptions
* learning model for multiple-prototype classification of strings, A
* Learning Model Structure from Data: An Application to On-Line Handwriting
* Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering
* Learning Models for Object Recognition from Natural Language Descriptions
* Learning Models for Object Recognition
* Learning Models for Predicting Recognition Performance
* Learning Models of Animal Behaviour for a Robotic Sheepdog
* Learning modes of structural variation in graphs
* Learning modulation filter networks for weak signal detection in noise
* Learning Monocular 3D Human Pose Estimation from Multi-view Images
* Learning monocular 3D reconstruction of articulated categories from motion
* Learning Monocular 3D Vehicle Detection Without 3D Bounding Box Labels
* Learning Monocular Dense Depth from Events
* Learning Monocular Depth by Distilling Cross-Domain Stereo Networks
* Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge
* Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions
* Learning Monocular Face Reconstruction using Multi-View Supervision
* Learning Monocular Regression of 3D People in Crowds via Scene-Aware Blending and De-Occlusion
* Learning Monocular Visual Odometry via Self-supervised Long-term Modeling
* Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance
* Learning moods and emotions from color combinations
* Learning More Accurate Features for Semantic Segmentation in Cyclenet
* Learning more discriminative clues with gradual attention for fine-grained visual categorization
* Learning More Universal Representations for Transfer-Learning
* Learning Morphological Operators for Depth Completion
* Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation
* Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera
* Learning Motion-Perceive Siamese Network for Robust Visual Object Tracking
* Learning Motion Categories using both Semantic and Structural Information
* Learning Motion Correlation for Tracking Articulated Human Body with a Rao-Blackwellised Particle Filter
* Learning motion field of LiDAR point cloud with convolutional networks
* Learning Motion from Images
* Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection
* Learning motion patterns in crowded scenes using motion flow field
* Learning Motion Patterns in Surveillance Video using HMM Clustering
* Learning Motion Patterns in Videos
* Learning Motion Priors for 4D Human Body Capture in 3D Scenes
* Learning motion representation for real-time spatio-temporal action localization
* Learning motion trajectories via self-organization
* Learning Moving Cast Shadows for Foreground Detection
* Learning Multi-Attention Context Graph for Group-Based Re-Identification
* Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition
* Learning Multi-category Classification in Bayesian Framework
* Learning Multi-Class Segmentations From Single-Class Datasets
* Learning Multi-Context Dynamic Listwise Relation for Generalizable Person Re-Identification
* Learning multi-denoising autoencoding priors for image super-resolution
* Learning Multi-domain Convolutional Neural Networks for Visual Tracking
* Learning Multi-Expert Distribution Calibration for Long-Tailed Video Classification
* Learning Multi-feature Based Spatially Regularized and Scale Adaptive Correlation Filters for Visual Tracking
* Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
* Learning Multi-Granularity Features for Re-Identifying Figures in Portrait Thangka Images
* Learning Multi-Graph Regularization for SVM Classification
* Learning Multi-human Optical Flow
* Learning Multi-Instance Deep Discriminative Patterns for Image Classification
* Learning Multi-instance Enriched Image Representations via Non-greedy Ratio Maximization of the L1-Norm Distances
* Learning Multi-instance Sub-pixel Point Localization
* Learning multi-kernel distance functions using relative comparisons
* Learning multi-label scene classification
* Learning multi-lane trajectories using vehicle-based vision
* Learning Multi-Layer Attention Aggregation Siamese Network for Robust RGBT Tracking
* Learning multi-layer coarse-to-fine representations for large-scale image classification
* Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference
* Learning Multi-Level Features for Improved 3D Reconstruction
* Learning Multi-level Interaction Relations and Feature Representations for Group Activity Recognition
* Learning multi-level weight-centric features for few-shot learning
* Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization
* Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition
* Learning Multi-modal Features for Dense Matching-based Confidence Estimation
* Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm
* Learning Multi-Object Tracking and Segmentation From Automatic Annotations
* Learning multi-planar scene models in multi-camera videos
* Learning Multi-scale Block Local Binary Patterns for Face Recognition
* Learning Multi-Scale Features for JPEG Image Artifacts Removal
* Learning Multi-Scale Photo Exposure Correction
* Learning Multi-scale Representations for Material Classification
* Learning Multi-scale Representations with Single-stream Network for Video Retrieval
* Learning multi-scale sparse representation for visual tracking
* Learning multi-scale synergic discriminative features for prostate image segmentation
* Learning Multi-Scene Absolute Pose Regression with Transformers
* Learning Multi-Task Correlation Particle Filters for Visual Tracking
* Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
* Learning Multi-View Camera Relocalization With Graph Neural Networks
* Learning multi-view correspondences from temporal coincidences
* Learning Multi-view Correspondences via Subspace-Based Temporal Coincidences
* Learning multi-view embedding in joint space for bidirectional image-text retrieval
* Learning Multi-view Generator Network for Shared Representation
* Learning Multi-View Interactional Skeleton Graph for Action Recognition
* Learning Multi-View Representation With LSTM for 3-D Shape Recognition and Retrieval
* Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction
* Learning Multidimensional Signal Processing
* Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks
* Learning Multifunctional Binary Codes for Personalized Image Retrieval
* Learning Multilayer Channel Features for Pedestrian Detection
* Learning Multimodal Dictionaries
* Learning Multimodal Latent Attributes
* Learning multimodal relationship interaction for visual relationship detection
* Learning Multimodal Representations for Drowsiness Detection
* Learning Multimodal Representations for Unseen Activities
* Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model
* Learning Multiple Complex Features Based on Classification Results
* Learning Multiple Dense Prediction Tasks from Partially Annotated Data
* Learning multiple instance deep representation for objects tracking
* Learning Multiple Linear Mappings for Efficient Single Image Super-Resolution
* Learning Multiple Local Metrics: Global Consideration Helps
* Learning Multiple Non-linear Sub-spaces Using K-RBMs
* Learning Multiple Pixelwise Tasks Based on Loss Scale Balancing
* Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution
* Learning Multiple Relative Attributes With Humans in the Loop
* Learning Multiple Views with Orthogonal Denoising Autoencoders
* Learning multiple visual tasks while discovering their structure
* Learning Multiscale Active Facial Patches for Expression Analysis
* Learning multiscale and deep representations for classifying remotely sensed imagery
* Learning Multiscale Deep Features for High-Resolution Satellite Image Scene Classification
* Learning multiscale hierarchical attention for video summarization
* Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
* Learning Multivariate Distributions by Competitive Assembly of Marginals
* Learning Multiview 3D Point Cloud Registration
* Learning Multiview Face Subspaces and Facial Pose Estimation Using Independent Component Analysis
* Learning Multiviewpoint Context-Aware Representation for RGB-D Scene Classification
* Learning Must-Link Constraints for Video Segmentation Based on Spectral Clustering
* Learning Mutual Modulation for Self-supervised Cross-Modal Super-Resolution
* Learning Mutual Visibility Relationship for Pedestrian Detection with a Deep Model
* Learning Mutually Exclusive Part Representations for Fine-Grained Image Classification
* Learning Mutually in Crowd Scenes for Pedestrian Detection
* Learning Naive Bayes Classifiers for Music Classification and Retrieval
* Learning Nanoscale Motion Patterns of Vesicles in Living Cells
* Learning natural scene categories by selective multi-scale feature extraction
* Learning natural statistics of binocular contrast for no reference quality assessment of stereoscopic images
* Learning Natural Thresholds for Image Ranking
* Learning Navigational Visual Representations with Semantic Map Supervision
* Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection
* Learning neighborhood cooccurrence statistics of sparse features for human activity recognition
* Learning Neighborhood Discriminative Manifolds for Video-Based Face Recognition
* Learning Network Architectures of Deep CNNs Under Resource Constraints
* Learning Networks for Face Analysis and Synthesis
* Learning Neural Bag-of-Features for Large-Scale Image Retrieval
* Learning Neural Duplex Radiance Fields for Real-Time View Synthesis
* Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation
* Learning Neural Implicit Surfaces with Object-Aware Radiance Fields
* Learning Neural Light Fields with Ray-Space Embedding
* Learning Neural Network Architectures using Backpropagation
* Learning Neural Networks with Ranking-Based Losses for Action Retrieval
* Learning Neural Parametric Head Models
* Learning Neural Proto-Face Field for Disentangled 3D Face Modeling in the Wild
* Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis
* Learning Neural Textual Representations for Citation Recommendation
* Learning Neural Volumetric Representations of Dynamic Humans in Minutes
* Learning New Parts for Landmark Localization in Whole-Body CT Scans
* Learning New Principles from Precedents and Exercises
* Learning No-Reference Quality Assessment of Multiply and Singly Distorted Images With Big Data
* Learning node representations against perturbations
* Learning Noise-aware Encoder-decoder from Noisy Labels by Alternating Back-propagation for Saliency Detection
* Learning Non-coplanar Scene Models by Exploring the Height Variation of Tracked Objects
* Learning Non-Generative Grammatical Models for Document Analysis
* Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories
* Learning Non-linear Calibration for Score Fusion with Applications to Image and Video Classification
* Learning Non-Linear Disentangled Editing for Stylegan
* Learning Non-linear Dynamical Systems by Alignment of Local Linear Models
* Learning Non-linear Reconstruction Models for Image Set Classification
* Learning non-local range Markov Random field for image restoration
* Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution
* Learning Non-Local Spatial Correlations To Restore Sparse 3D Single-Photon Data
* Learning Non-Locally Regularized Compressed Sensing Network With Half-Quadratic Splitting
* Learning non-Markovian constraints for handwriting recognition
* Learning Non-maximum Suppression
* Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion
* Learning non-metric visual similarity for image retrieval
* Learning non-negative locality-constrained Linear Coding for human action recognition
* Learning Non-Negative Sparse Image Codes by Convex Programming
* Learning non-parametric kernel via matrix decomposition for logistic regression
* Learning non-rigid surface reconstruction from spatia-temporal image patches
* Learning Non-stationary System Dynamics Online Using Gaussian Processes
* Learning non-target items for interesting clothes segmentation in fashion images
* Learning Non-target Knowledge for Few-shot Semantic Segmentation
* Learning Non-Volumetric Depth Fusion Using Successive Reprojections
* Learning Nonclassical Receptive Field Modulation for Contour Detection
* Learning nonlinear distance functions using neural network for regression with application to robust human age estimation
* Learning Nonlinear Functions Using Regularized Greedy Forest
* Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
* Learning Nonlinear Manifolds from Time Series
* Learning Nonlinear Manifolds of Dynamic Textures
* Learning Nonlinear Spectral Filters for Color Image Reconstruction
* Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling
* Learning Nonparametric Human Mesh Reconstruction from A Single Image Without Ground Truth Meshes
* Learning Normal Dynamics in Videos with Meta Prototype Network
* Learning Normal Patterns via Adversarial Attention-Based Autoencoder for Abnormal Event Detection in Videos
* Learning Not to Learn: Training Deep Neural Networks With Biased Data
* Learning novel views to a single face image
* Learning object-centric complementary features for zero-shot learning
* Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering
* Learning Object-Independent Modes of Variation with Feature Flow Fields
* Learning object-specific DAGs for multi-label material recognition
* Learning Object-Specific Distance From a Monocular Image
* Learning Object-to-Class Kernels for Scene Classification
* Learning Object Appearance from Occlusions Using Structure and Motion Recovery
* Learning Object Categories from Google's Image Search
* Learning Object Categories From Internet Image Searches
* Learning object class detectors from weakly annotated video
* Learning object classes from structure
* Learning object color models from multi-view constraints
* Learning Object Color under Varying Outdoor Illumination
* Learning Object Context for Novel-view Scene Layout Generation
* Learning Object Deformation and Motion Adaption for Semi-supervised Video Object Segmentation
* Learning Object Depth from Camera Motion and Video Object Segmentation
* Learning Object Descriptions, Object Recognition
* Learning Object Detection from a Small Number of Examples: The Importance of Good Features
* Learning Object Detectors With Semi-Annotated Weak Labels
* Learning Object Interactions and Descriptions for Semantic Image Segmentation
* Learning object intrinsic structure for robust visual tracking
* Learning Object Location Predictors with Boosting and Grammar-guided Feature Extraction
* Learning Object Material Categories via Pairwise Discriminant Analysis
* Learning Object Models from Appearance
* Learning Object Models from Graph Templates
* Learning Object Models From Visual Observation and Background Knowledge
* Learning object motion patterns for anomaly detection and improved object detection
* Learning Object Permanence from Video
* Learning Object Placement by Inpainting for Compositional Data Augmentation
* Learning Object Placement via Dual-Path Graph Completion
* Learning Object Recognition Models from Images
* Learning Object Recognition Strategies
* Learning Object Relation Graph and Tentative Policy for Visual Navigation
* Learning object relationships via graph-based context model
* Learning Object Representations from Lighting Variations
* Learning Object Scale with Click Supervision for Object Detection
* Learning object segmentation from video data
* Learning Object Shape: From Drawings to Images
* Learning Objects and Grasp Affordances through Autonomous Exploration
* Learning occlusion patterns using semantic phrases for object detection
* Learning occlusion with likelihoods for visual tracking
* Learning of 3D Graph Convolution Networks for Point Cloud Analysis
* Learning of a robusted nearest neighbor classifier using multiple training data
* Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images
* Learning of context-aware single image super-resolution
* Learning of context-sensitive languages described by augmented regular expressions
* Learning of face components in coherent and disturbed constellations
* Learning of Gaussian Processes in Distributed and Communication Limited Systems
* Learning of Global Objective for Network Flow in Multi-Object Tracking
* Learning of Graphical Models and Efficient Inference for Object Class Recognition
* Learning of invariant object recognition in hierarchical neural networks using temporal continuity
* Learning of Linear Video Prediction Models In A Multi-Modal Framework for Anomaly Detection
* Learning of low-level feature keypoints for accurate and robust detection
* Learning of Multilabel Classifiers
* Learning of Multimodal Representations With Random Walks on the Click Graph
* Learning of Nonnegative Matrix Factorization Models for Inconsistent Resolution Dataset Analysis
* Learning of Optimal Illumination for Material Classification
* Learning of Pattern-Based Rules for Document Classification
* Learning of Patterns and Picture Languages
* Learning of perceptual grouping for object segmentation on RGB-D data
* Learning of Prototypes and Decision Boundaries for a Verification Problem Having Only Positive Samples
* Learning of Scene-Specific Object Detectors by Classifier Co-Grids
* Learning of Separable Filters by Stacked Fisher Convolutional Autoencoders
* Learning of structural descriptions of graphic symbols using deformable template matching
* Learning of structuring elements for morphological image model with a sparsity prior
* Learning of view-invariant pattern recognizer with temporal context
* Learning of Visual Modules from Examples: A Framework for Understanding Adaptive Visual Performance
* Learning of Visual Relations: The Devil is in the Tails
* Learning off-line vs. on-line models of interactive multimodal behaviors with recurrent neural networks
* Learning Omnidirectional Flow in 360° Video via Siamese Representation
* Learning On-Road Visual Control for Self-Driving Vehicles With Auxiliary Tasks
* Learning on Attribute-Missing Graphs
* Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection
* Learning on Hypergraphs With Sparsity
* Learning on lie groups for invariant detection and tracking
* Learning on the Edge: Investigating Boundary Filters in CNNs
* Learning on the Fly: A Font-Free Approach Toward Multilingual OCR
* Learning on the Fly: Font-Free Approaches to Difficult OCR Problems
* Learning One-Shot Exemplar SVM from the Web for Face Verification
* Learning One-to-Many Mapping With Locally Linear Maps Based on Manifold Structure
* Learning one-to-many stylised Chinese character transformation and generation by generative adversarial networks
* Learning Online Multi-Sensor Depth Fusion
* Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees
* Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision
* Learning open loop control of complex motor tasks
* Learning Open Set Network with Discriminative Reciprocal Points
* Learning OpenCV Computer Vision with the OpenCV Library
* Learning Operators for View-Independent Object Recognition
* Learning opposites using neural networks
* Learning Optical Expansion from Scale Matching
* Learning Optical Flow and Scene Flow With Bidirectional Camera-LiDAR Fusion
* Learning Optical Flow from a Few Matches
* Learning Optical Flow from Event Camera with Rendered Dataset
* Learning optical flow from still images
* Learning Optical Flow Propagation Strategies Using Random Forests for Fast Segmentation in Dynamic 2D and 3D Echocardiography
* Learning Optical Flow via Dilated Networks and Occlusion Reasoning
* Learning Optical Flow with Kernel Patch Attention
* Learning Optical Flow
* Learning optimal classifier through fuzzy recognition rate maximization
* Learning Optimal Compact Codebook for Efficient Object Categorization
* Learning optimal data representation for cross-media retrieval
* Learning Optimal Embedded Cascades
* Learning Optimal Filter Representation for Texture Classification
* Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks
* Learning Optimal Nonlinearities for Iterative Thresholding Algorithms
* Learning optimal parameters for binary sensing image reconstruction algorithms
* Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions
* Learning Optimal Parameters For Multi-target Tracking
* Learning Optimal Parameters for Self-Diagnosis in a System for Automatic Exterior Orientation
* Learning Optimal Phase-Coded Aperture for Depth of Field Extension
* Learning Optimal Seeds for Diffusion-Based Salient Object Detection
* Learning Optimal Wavefront Shaping for Multi-Channel Imaging
* Learning optimized MAP estimates in continuously-valued MRF models
* Learning or Modelling? An Analysis of Single Image Segmentation Based on Scribble Information
* Learning Oracle Attention for High-Fidelity Face Completion
* Learning Ordered Top-k Adversarial Attacks via Adversarial Distillation
* Learning ordinal discriminative features for age estimation
* Learning Ordinal Relationships for Mid-Level Vision
* Learning Oriented Region-based Convolutional Neural Networks for Building Detection in Satellite Remote Sensing Images
* Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation
* Learning Outdoor Color Classification from Just One Training Image
* Learning Outdoor Color Classification
* Learning Output-kernel-dependent Regression for Human Pose Estimation
* Learning Over Multiple Temporal Scales in Image Databases
* Learning over Sets using Boosted Manifold Principal Angles (BoMPA)
* Learning over sets using kernel principal angles
* Learning overcomplete sparsifying transforms with block cosparsity
* Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning
* Learning Pain from Emotion: Transferred HoT Data Representation for Pain Intensity Estimation
* Learning Pairwise Dissimilarity Profiles for Appearance Recognition in Visual Surveillance
* Learning pairwise image similarities for multi-classification using Kernel Regression Trees
* Learning Pairwise Inter-plane Relations for Piecewise Planar Reconstruction
* Learning Pairwise Interaction for Generalizable DeepFake Detection
* Learning Pairwise Potential CRFs in Deep Siamese Network for Change Detection
* Learning Pairwise Similarity for Data Clustering
* Learning pairwise SVM on hierarchical deep features for ear recognition
* Learning panoptic segmentation through feature discriminability
* Learning Parallax Attention for Stereo Image Super-Resolution
* Learning Parallel Canonical Correlations for Scale-Adaptive Low Resolution Face Recognition
* Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction
* Learning Parameter Distributions to Detect Concept Drift in Data Streams
* Learning Parameter Tuning for Object Extraction
* Learning parameterized histogram kernels on the simplex manifold for image and action classification
* Learning Parameterized Models of Image Motion
* Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding
* Learning Parametric Functions for Color Image Enhancement
* Learning parametrised regularisation functions via quotient minimisation
* Learning Parseval Frames for Sparse Representation with Frame Perspective
* Learning part-aware attention networks for kinship verification
* Learning Part-based Convolutional Features for Person Re-Identification
* Learning Part-Based Models for Animation from Surface Motion Capture
* Learning part-based templates from large collections of 3D shapes
* Learning part-in-whole relation of 3D shapes for part-based 3D model retrieval
* Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles
* Learning Partial Correlation based Deep Visual Representation for Image Classification
* Learning partially-observed hidden conditional random fields for facial expression recognition
* Learning Partially Shared Dictionaries for Domain Adaptation
* Learning Partitioned Least Squares Filters for Fingerprint Enhancement
* Learning Parts-Based and Global Representation for Image Classification
* Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection
* Learning patch-dependent kernel forest for person re-identification
* Learning patch correspondences for improved viewpoint invariant face recognition
* Learning Patch Dependencies for Improved Pose Mismatched Face Verification
* Learning Patch Reconstructability for Accelerating Multi-view Stereo
* Learning pattern transformation manifolds for classification
* Learning Patterns from Images by Combining Soft Decisions and Hard Decisions
* Learning patterns in terms of other patterns
* Learning Patterns of Activity Using Real-Time Tracking
* Learning PDEs for Image Restoration via Optimal Control
* Learning Pedestrian Detection from Virtual Worlds
* Learning pedestrian dynamics from the real world
* Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction
* Learning pedestrian models for silhouette refinement
* Learning Pedestrian Trajectories with Kernels
* Learning people co-occurrence relations by using relevance feedback for retrieving group photos
* Learning people detection models from few training samples
* Learning People Detectors for Tracking in Crowded Scenes
* Learning People Trajectories Using Semi-directional Statistics
* Learning Perceptual Organization with a Developmental Robot
* Learning Permutation Invariant Representations Using Memory Networks
* Learning Person-Person Interaction in Collective Activity Recognition
* Learning Person-Specific Cognition From Facial Reactions for Automatic Personality Recognition
* Learning person-specific models for facial expression and action unit recognition
* Learning Person Re-Identification Models From Videos With Weak Supervision
* Learning Personal Preference From Viewer's Operations for Browsing and Its Application to Baseball Video Retrieval and Summarization
* Learning Personal Specific Facial Dynamics for Face Recognition from Videos
* Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos
* Learning Personalized Image Aesthetics From Subjective and Objective Attributes
* Learning Personalized Models for Facial Expression Analysis and Gesture Recognition
* Learning Personalized Modular Network Guided by Structured Knowledge
* Learning personalized video highlights from detailed MPEG-7 metadata
* Learning Perspective Undistortion of Portraits
* Learning phase-rich features from streaming auditory images
* Learning Phase Mask for Privacy-Preserving Passive Depth Estimation
* Learning Photogrammetry with Interactive Software Tool Phox
* Learning photographic global tonal adjustment with a database of input-output image pairs
* Learning Photometric Invariance for Object Detection
* Learning photometric invariance from diversified color model ensembles
* Learning Photometric Stereo via Manifold-based Mapping
* Learning Physical Activities in Immersive Virtual Environments
* Learning Physical Descriptions from Functional Definitions, Examples, and Precedents
* Learning Physical Descriptions from Functional Descriptions
* Learning Physics-Guided Face Relighting Under Directional Light
* Learning pixel-adaptive weights for portrait photo retouching
* Learning Pixel-Level Distinctions for Video Highlight Detection
* Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation
* Learning Pixel-Wise Signal Energy for Understanding Semantics
* Learning Pixel Perception for Identity and Illumination Consistency Face Frontalization in the Wild
* Learning Pixel Trajectories with Multiscale Contrastive Random Walks
* Learning Placeholders for Open-Set Recognition
* Learning Point Cloud Completion without Complete Point Clouds: A Pose-Aware Approach
* Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation
* Learning Point Processes and Convolutional Neural Networks for Object Detection in Satellite Images
* Learning Policies for Adaptive Tracking with Deep Feature Cascades
* Learning Policies for Efficiently Identifying Objects of Many Classes
* Learning Polymorphic Neural ODEs With Time-Evolving Mixture
* Learning polynomial function based neutral-emotion GMM transformation for emotional speaker recognition
* Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild
* Learning Pose Dictionary for Human Action Recognition
* Learning Pose Specific Representations by Predicting Different Views
* Learning Position and Target Consistency for Memory-based Video Object Segmentation
* Learning Posterior Distributions in Underdetermined Inverse Problems
* Learning Pre-attentive Driving Behaviour from Holistic Visual Features
* Learning Precise Local Boundaries in Images from Human Tracings
* Learning predictable binary codes for face indexing
* Learning Prediction of Emotional Change on Behaviors
* Learning Predictive Models from Observation and Interaction
* Learning principal orientations and residual descriptor for action recognition
* Learning Prior Feature and Attention Enhanced Image Inpainting
* Learning Prior Knowledge and Observation Augmented Density Models for Human Behaviour Recognition
* Learning priors for calibrating families of stereo cameras
* Learning Priors for Semantic 3D Reconstruction
* Learning privacy-enhancing face representations through feature disentanglement
* Learning Privacy-preserving Optics for Human Pose Estimation
* Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation
* Learning Privacy Preserving Encodings Through Adversarial Training
* Learning Probabilistic Approach for Object Segmentation, A
* Learning Probabilistic Awareness Models for Detecting Abnormalities in Vehicle Motions
* Learning Probabilistic Coordinate Fields for Robust Correspondences
* Learning probabilistic decision trees for AUC
* Learning probabilistic deformation models from image sequences
* Learning Probabilistic Distribution Model for Multi-View Face Detection
* Learning Probabilistic Models for Contour Completion in Natural Images
* Learning Probabilistic Models of Contours
* Learning probabilistic models of tree edit distance
* Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
* Learning Probabilistic Structure for Human Motion Detection
* Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace From Position Data
* Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations
* learning procedure for multisurface method of pattern separation, A
* Learning Process to the Identification of Feature Points on Chinese Characters, A
* Learning Program Representations for Food Images and Cooking Recipes
* Learning Progressive Joint Propagation for Human Motion Prediction
* Learning Progressive Point Embeddings for 3D Point Cloud Generation
* Learning Propagation for Arbitrarily-Structured Data
* Learning Propagation Rules for Attribution Map Generation
* Learning Proposal-Aware Re-Ranking for Weakly-Supervised Temporal Action Localization
* Learning Prototype Hyperplanes for Face Verification in the Wild
* Learning prototypes and distances: A prototype reduction technique based on nearest neighbor error minimization
* Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition
* Learning Prototypes for On-Line Handwritten Digits
* Learning prototypical shapes for object categories
* Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
* Learning Pseudo-Relations for Cross-domain Semantic Segmentation
* Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems
* Learning Pseudo Bayes Discriminant Method Based on Difference Distribution of Feature Vectors, A
* Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic Segmentation
* Learning Pullback HMM Distances
* Learning Pullback metrics for linear models
* Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
* Learning Pyramidal Feature Hierarchy for 3D Reconstruction
* Learning Quadratic Discriminant Function for Handwritten Character Classification
* Learning Quality-aware Dynamic Memory for Video Object Segmentation
* Learning quality assessment of retargeted images
* Learning Quaternion Graph for Color Face Image Super-Resolution
* Learning Query-Dependent Distance Metrics for Interactive Image Retrieval
* Learning query-dependent prefilters for scalable image retrieval
* Learning Query-Specific Distance Functions for Large-Scale Web Image Search
* Learning Query and Image Similarities with Ranking Canonical Correlation Analysis
* Learning Quintuplet Loss for Large-Scale Visual Geolocalization
* Learning Race from Face: A Survey
* Learning Rain Location Prior for Nighttime Deraining
* Learning ramp transformation for single image super-resolution
* Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation
* Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging
* Learning Rare Behaviours
* Learning Rare Category Classifiers on a Tight Labeling Budget
* Learning rate schedules for self-organizing maps
* Learning Rates for Nonconvex Pairwise Learning
* Learning Rates for Stochastic Gradient Descent With Nonconvex Objectives
* Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision
* Learning Raw Image Denoising Using a Parametric Color Image Model
* Learning Raw Image Reconstruction-Aware Deep Image Compressors
* Learning Reaction-Diffusion Models for Image Inpainting
* Learning real-time MRF inference for image denoising
* Learning Real-Time Perspective Patch Rectification
* Learning realistic facial expressions from web images
* Learning realistic human actions from movies
* Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency
* Learning Reasoning-Decision Networks for Robust Face Alignment
* Learning rebalanced human parsing model from imbalanced datasets
* Learning Receptive Field Size by Learning Filter Size
* Learning Receptive Fields and Quality Lookups for Blind Quality Assessment of Stereoscopic Images
* Learning Receptive Fields for Pooling from Tensors of Feature Response
* Learning Recognition and Segmentation of 3-D Objects from 2-D Images
* Learning Recognition and Segmentation Using the Cresceptron
* Learning reconfigurable hashing for diverse semantics
* Learning reconfigurable scene representation by tangram model
* Learning Reconstruction-Based Remote Gaze Estimation
* Learning Recurrent 3D Attention for Video-Based Person Re-Identification
* Learning Recurrent High-order Statistics for Skeleton-based Hand Gesture Recognition
* Learning Recurrent Memory Activation Networks for Visual Tracking
* Learning Recursive Filters for Low-Level Vision via a Hybrid Neural Network
* Learning Reduced-Dimension Models of Human Actions
* Learning Redundant Sparsifying Transform based on Equi-Angular Frame
* Learning Region Features for Object Detection
* Learning region sparse constraint correlation filter for tracking
* Learning Regional Attention Over Multi-Resolution Deep Convolutional Features for Trademark Retrieval
* Learning Regional Attraction for Line Segment Detection
* Learning Regional Purity for Instance Segmentation on 3D Point Clouds
* Learning regional semantic concepts from incomplete annotation
* Learning Regression and Verification Networks for Robust Long-term Tracking
* Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
* Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling
* Learning Regularized, Query-Dependent Bilinear Similarities for Large Scale Image Retrieval
* Learning relation-based features for fine-grained image retrieval
* Learning Relation Models to Detect Important People in Still Images
* Learning relational facts from the web: A tolerance rough set approach
* Learning Relational Grammars from Sequences of Actions
* Learning Relational Structures: Applications to Computer Vision
* Learning Relations among Movie Characters: A Social Network Perspective
* Learning Relationship-Aware Visual Features
* Learning Relationship-Enhanced Semantic Graph for Fine-Grained Image-Text Matching
* Learning Relationships for Multi-View 3D Object Recognition
* Learning Relative Aesthetic Quality with a Pairwise Approach
* Learning Relative Feature Displacement for Few-Shot Open-Set Recognition
* Learning relative photometric differences of pairs of cameras
* Learning Relaxed Deep Supervision for Better Edge Detection
* Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding
* Learning Relevant Image Features with Multiple-Kernel Classification
* Learning reliable-spatial and spatial-variation regularization correlation filters for visual tracking
* Learning Reliable Visual Saliency For Model Explanations
* Learning Repetitive Patterns for Classifying Non-Rigidly Deforming Texture Surfaces
* Learning Representation for Clustering Via Prototype Scattering and Positive Sampling
* Learning Representation for Histopathological Image with Quaternion Grassmann Average Network
* Learning representation from multiple media domains for enhanced event discovery
* Learning Representation on Optimized High-Order Manifold for Visual Classification
* Learning Representational Invariance Instead of Categorization
* Learning representational invariances for data-efficient action recognition
* Learning Representations by Contrastive Spatio-Temporal Clustering for Skeleton-Based Action Recognition
* Learning Representations by Graphical Mutual Information Estimation and Maximization
* Learning Representations by Predicting Bags of Visual Words
* Learning Representations for Automatic Colorization
* Learning Representations for Facial Actions From Unlabeled Videos
* Learning Representations for High-Dynamic-Range Image Color Transfer in a Self-Supervised Way
* Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
* Learning Representations for New Sound Classes With Continual Self-Supervised Learning
* Learning representations from multiple manifolds
* Learning Representations From Skeletal Self-Similarities for Cross-View Action Recognition
* Learning representations of multivariate time series with missing data
* Learning representations of sound using trainable COPE feature extractors
* Learning representative and discriminative image representation by deep appearance and spatial coding
* Learning Representative Deep Features for Image Set Analysis
* Learning representative exemplars using one-class Gaussian process regression
* Learning Representative Local Features for Face Detection
* Learning Residual Color for Novel View Synthesis
* Learning Residual Images for Face Attribute Manipulation
* Learning residual refinement network with semantic context representation for real-time saliency object detection
* Learning Residue-Aware Correlation Filters and Refining Scale Estimates with the GrabCut for Real-Time UAV Tracking
* Learning residue-aware correlation filters and refining scale for real-time UAV tracking
* Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification
* Learning RGB-D Salient Object Detection Using Background Enclosure, Depth Contrast, and Top-Down Features
* Learning Rich Features at High-Speed for Single-Shot Object Detection
* Learning Rich Features for Image Manipulation Detection
* Learning Rich Features from RGB-D Images for Object Detection and Segmentation
* Learning Rich Hidden Markov Models in Document Analysis: Table Location
* Learning Rich Information for Quad Bayer Remosaicing and Denoising
* Learning Rich Part Hierarchies With Progressive Attention Networks for Fine-Grained Image Recognition
* Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation
* Learning Roadway Surface Disruption Patterns Using the Bag of Words Representation
* Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression
* Learning robot tasks with loops from experiences to enhance robot adaptability
* Learning Robust and Discriminative Low-Rank Representations for Face Recognition with Occlusion
* Learning robust color name models from web images
* Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble
* Learning Robust Facial Representation From the View of Diversity and Closeness
* Learning Robust Feature Transformation for Domain Adaptation
* Learning robust features for gait recognition by Maximum Margin Criterion
* Learning Robust Graph Regularisation for Subspace Clustering
* Learning Robust Image-Based Rendering on Sparse Scene Geometry via Depth Completion
* Learning robust latent representation for discriminative regression
* Learning robust latent subspace for discriminative regression
* Learning Robust Object Recognition Using Composed Scenes from Generative Models
* Learning Robust Objective Functions for Model Fitting in Image Understanding Applications
* Learning Robust Objective Functions with Application to Face Model Fitting
* Learning Robust Point Representation for 3D Non-Rigid Shape Retrieval
* Learning Robust Representations for Computer Vision
* Learning Robust Representations with Information Bottleneck and Memory Network for RGB-D-based Gesture Recognition
* Learning Robust Similarity Measures for 3D Partial Shape Retrieval
* Learning Robust Visual-Semantic Embeddings
* Learning RoI Transformer for Oriented Object Detection in Aerial Images
* Learning Room Occupancy Patterns from Sparsely Recovered Light Transport Models
* Learning Rotated Inscribed Ellipse for Oriented Object Detection in Remote Sensing Images
* Learning rotation-aware features: From invariant priors to equivariant descriptors
* Learning Rotation-Equivariant Features for Visual Correspondence
* Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection
* Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
* Learning Rotation-Invariant Local Binary Descriptor
* Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks
* Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking
* Learning Rotation Domain Deep Mutual Information Using Convolutional LSTM for Unsupervised PolSAR Image Classification
* Learning rotation equivalent scene representation from instance-level semantics: A novel top-down perspective
* Learning rotation invariant convolutional filters for texture classification
* Learning rotational features for filament detection
* Learning Rules for 3-D Object Recognition
* Learning Rules for Semantic Video Event Annotation
* Learning rules of a card game from video
* Learning Saccadic Gaze Control via Motion Prediciton
* Learning Safe and Human-Like High-Level Decisions for Unsignalized Intersections From Naturalistic Human Driving Trajectories
* Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective
* Learning Saliency Propagation for Semi-Supervised Instance Segmentation
* Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
* Learning Salient Feature for Salient Object Detection Without Labels
* Learning Salient Features For Real-Time Face Verification
* Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks
* Learning Salient Structures for the Analysis of Symmetric Patterns
* Learning salient visual word for scalable mobile image retrieval
* Learning Sample Relationship for Exposure Correction
* Learning Sample Specific Weights for Late Fusion
* Learning sample subspace with application to face detection
* Learning SAR-Optical Cross Modal Features for Land Cover Classification
* Learning Scalable Discriminative Dictionary with Sample Relatedness
* Learning scalable dynamic filter in convolutional networks
* Learning Scalable l8-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression
* Learning Scale-Adaptive Representations for Point-Level LiDAR Semantic Segmentation
* Learning Scale-Consistent Attention Part Network for Fine-Grained Image Recognition
* Learning scale-variant and scale-invariant features for deep image classification
* Learning scale awareness in keypoint extraction and description
* Learning scale ranges for the extraction of regions of interest
* Learning Scene-Aware Spatio-Temporal GNNs for Few-Shot Early Action Prediction
* Learning Scene-Independent Group Descriptors for Crowd Understanding
* Learning scene-specific object detectors based on a generative-discriminative model with minimal supervision
* Learning scene-specific pedestrian detectors without real data
* Learning Scene Attribute for Scene Recognition
* Learning scene categories from high resolution satellite image for aerial video analysis
* Learning Scene Context for Multiple Object Tracking
* Learning Scene Dynamics from Point Cloud Sequences
* Learning Scene Entries and Exits Using Coherent Motion Regions
* Learning Scene Semantics Using Fiedler Embedding
* Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
* Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes, A
* Learning Science Using AR Book: A Preliminary Study on Visual Needs of Deaf Learners
* Learning Second Order Local Anomaly for General Face Forgery Detection
* Learning Segmentation of Documents with Complex Scripts
* Learning Selective Assignment Network for Scene-Aware Vehicle Detection
* Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection
* Learning Selective Self-Mutual Attention for RGB-D Saliency Detection
* Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models
* Learning Self-Consistency for Deepfake Detection
* Learning Self-Correlation in Space and Time as Motion Representation for Action Recognition
* Learning Self-prior for Mesh Denoising Using Dual Graph Convolutional Networks
* Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition
* Learning Self-supervised Audio-Visual Representations for Sound Recommendations
* Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation
* Learning Self-Supervised Space-Time CNN for Fast Video Style Transfer
* Learning self-target knowledge for few-shot segmentation
* Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing
* Learning Semantic-Aware Dynamics for Video Prediction
* Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
* Learning Semantic-Aware Local Features for Long Term Visual Localization
* Learning Semantic-Aware Spatial-Temporal Attention for Interpretable Action Recognition
* Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
* Learning Semantic-visual Embeddings with a Priority Queue
* Learning Semantic Alignment Using Global Features and Multi-Scale Confidence
* Learning Semantic and Visual Similarity for Endomicroscopy Video Retrieval
* Learning Semantic Associations for Mirror Detection
* Learning Semantic Binary Codes by Encoding Attributes for Image Retrieval
* Learning Semantic Concepts and Order for Image and Sentence Matching
* Learning Semantic Correlations for Cross-Media Retrieval
* Learning Semantic Correspondence Exploiting an Object-Level Prior
* Learning Semantic Correspondence with Sparse Annotations
* Learning Semantic Deformation Flows with 3D Convolutional Networks
* Learning semantic dependencies with channel correlation for multi-label classification
* Learning semantic embedding at a large scale
* Learning semantic features for action recognition via diffusion maps
* Learning semantic models and grammar rules of building parts
* Learning Semantic Neural Tree for Human Parsing
* Learning semantic object parts for object categorization
* Learning Semantic Part-Based Models from Google Images
* Learning Semantic Patterns with Discriminant Localized Binary Projections
* Learning Semantic Person Image Generation by Region-Adaptive Normalization
* Learning Semantic Relationship among Instances for Image-Text Matching
* Learning semantic relationships for better action retrieval in images
* Learning Semantic Representations via Joint 3D Face Reconstruction and Facial Attribute Estimation
* Learning semantic scene models by object classification and trajectory clustering
* Learning Semantic Scene Models by Trajectory Analysis
* Learning Semantic Scene Models From Observing Activity in Visual Surveillance
* Learning Semantic Segmentation from Multiple Datasets with Label Shifts
* Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
* Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling
* Learning Semantic Segmentation on Unlabeled Real-World Indoor Point Clouds via Synthetic Data
* Learning Semantic Segmentation with Diverse Supervision
* Learning Semantic Signatures for 3D Object Retrieval
* Learning Semantic Text Features for Web Text-Aided Image Classification
* Learning semantic visual concepts from video
* Learning semantic visual vocabularies using diffusion distance
* Learning Semantically Enhanced Feature for Fine-Grained Image Classification
* Learning Semantics-Guided Visual Attention for Few-Shot Image Classification
* Learning Semantics-Preserving Attention and Contextual Interaction for Group Activity Recognition
* Learning Semantics for Visual Place Recognition Through Multi-scale Attention
* Learning semantics from multimedia content
* Learning Semantics From Multimedia Web Resources: An Introduction to the Special Issue
* Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery
* Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning
* Learning Sensitive Images Using Generative Models
* Learning Sensor-Based Navigation of a Real Mobile Robot in Unknown Worlds
* Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks
* Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction
* Learning Separable Filters
* Learning separable transforms by inverse covariance estimation
* Learning Separations By Boolean Combinations Of Half-Spaces
* Learning Sequence Representations by Non-local Recurrent Neural Memory
* Learning Sequential Contexts using Transformer for 3D Hand Pose Estimation
* Learning Sequential Patterns for Lipreading
* Learning sequential slice representation with an attention-embedding network for 3D shape recognition and retrieval in MLS point clouds
* Learning sequentially diversified representations for fine-grained categorization
* Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution
* Learning Setting-Generalized Activity Models for Smart Spaces
* Learning Shadow Correspondence for Video Shadow Detection
* Learning Shadow Removal From Unpaired Samples via Reciprocal Learning
* Learning Shape-Appearance Based Attributes Representation for Facial Attribute Recognition with Limited Labeled Data
* Learning Shape-Aware Embedding for Scene Text Detection
* Learning Shape-Biased Representations for Infrared Small Target Detection
* Learning Shape-Classes Using a Mixture of Tree-Unions
* Learning Shape-Invariant Representation for Generalizable Semantic Segmentation
* Learning Shape Abstractions by Assembling Volumetric Primitives
* Learning shape and motion representations for view invariant skeleton-based action recognition
* Learning shape and texture progression for young child face aging
* Learning Shape Categories by Clustering Shock Trees
* Learning Shape Classes
* Learning Shape Correspondence for n-D curves
* Learning Shape Descriptions
* Learning Shape Descriptions: Generating and Generalizing Models of Visual Objects
* Learning Shape Detector by Quantizing Curve Segments with Multiple Distance Metrics
* Learning Shape from Defocus
* Learning Shape from Shading by a Multilayer Network
* Learning Shape Metric: From Alignment to Recognition
* Learning shape metrics based on deformations and transport
* Learning Shape Models for a Vision Based Human-Computer Interface
* Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect
* Learning Shape Primitives via Implicit Convexity Regularization
* Learning shape prior models for object matching
* Learning shape priors for object segmentation via neural networks
* Learning Shape Priors for Single-View 3D Completion And Reconstruction
* Learning shape priors for single view reconstruction
* Learning Shape Representations for Person Re-Identification under Clothing Change
* Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer
* Learning shape statistics for hierarchical 3D medical image segmentation
* Learning Shape Templates With Structured Implicit Functions
* Learning Shape Trends: Parameter Estimation in Diffusions on Shape Manifolds
* Learning shape variations of motion trajectories for gait analysis
* Learning Shape, Motion and Elastic Models in Force Space
* Learning Shape: Optimal Models for Analysing Natural Variability
* Learning Shapes for Image Classification and Retrieval
* Learning Shapes on Image Sampled Points with Dynamic Graph CNNs
* Learning shared body plans
* Learning Shared, Discriminative, and Compact Representations for Visual Recognition
* Learning Sheared EPI Structure for Light Field Reconstruction
* Learning shift-invariant sparse representation of actions
* Learning Ship Activity Patterns in Maritime Data Streams: Enhancing CEP Rule Learning by Temporal and Spatial Relations and Domain-Specific Functions
* Learning Short Binary Codes for Large-scale Image Retrieval
* Learning Siamese Features for Finger Spelling Recognition
* Learning Siamese networks for laser vision seam tracking
* Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning
* Learning Sign-Constrained Support Vector Machines
* Learning sign language by watching TV (using weakly aligned subtitles)
* Learning Signed Distance Field for Multi-view Surface Reconstruction
* Learning signs from subtitles: A weakly supervised approach to sign language recognition
* Learning silhouette dynamics for human action recognition
* Learning Similarities by Accumulating Evidence in a Probabilistic Way
* Learning Similarities for Rigid and Non-rigid Object Detection
* Learning Similarity Conditions Without Explicit Supervision
* Learning Similarity for Texture Image Retrieval
* Learning similarity measure for multi-modal 3D image registration
* Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback
* Learning similarity metrics for dynamic scene segmentation
* Learning similarity space
* Learning simple texture discrimination filters
* Learning Simple Thresholded Features With Sparse Support Recovery
* Learning simultaneous adaptive clustering and classification via MOEA
* Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading
* Learning Single-Image Depth From Videos Using Quality Assessment Networks
* Learning Single-View 3D Reconstruction with Limited Pose Supervision
* Learning Single Camera Depth Estimation Using Dual-Pixels
* Learning Single/Multi-Attribute of Object With Symmetry and Group
* Learning Situation Hyper-Graphs for Video Question Answering
* Learning Situation Models in a Smart Home
* Learning Situational Driving
* Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation
* Learning skeleton information for human action analysis using Kinect
* Learning skeleton representations for human action recognition
* Learning Skeleton Stream Patterns with Slow Feature Analysis for Action Recognition
* Learning skin distribution using a sparse map
* Learning Skip Map for Efficient Ultra-High Resolution Image Segmentation
* Learning Slow Features for Behaviour Analysis
* Learning small gallery size for prediction of recognition performance on large populations
* Learning smooth dendrite morphological neurons for pattern classification using linkage trees and evolutionary-based hyperparameter tuning
* Learning Smooth Motion Planning for Intelligent Aerial Transportation Vehicles by Stable Auxiliary Gradient
* Learning Smooth Pattern Transformation Manifolds
* Learning SO(3) Equivariant Representations with Spherical CNNs
* Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes
* Learning Social Relation Traits from Face Images
* Learning Social Relationship From Videos via Pre-Trained Multimodal Transformer
* Learning Soft Estimator of Keypoint Scale and Orientation with Probabilistic Covariant Loss
* Learning solar flare forecasting model from magnetograms
* Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval
* Learning space-time dictionaries for blind compressed sensing dynamic MRI reconstruction
* Learning Sparse and Discriminative Multimodal Feature Codes for Finger Recognition
* Learning Sparse and Identity-Preserved Hidden Attributes for Person Re-Identification
* Learning sparse covariance patterns for natural scenes
* Learning Sparse CRFs for Feature Selection and Classification of Hyperspectral Imagery
* Learning sparse deep neural networks using efficient structured projections on convex constraints for green AI
* Learning sparse discriminant low-rank features for low-resolution face recognition
* Learning Sparse Face Features: Application to Face Verification
* Learning sparse feature for eyeglasses problem in face recognition
* Learning sparse features for classification by mixture models
* Learning Sparse Features in Granular Space for Multi-View Face Detection
* Learning Sparse Features On-Line for Image Classification
* Learning sparse filter bank transforms with convolutional ICA
* Learning Sparse Filters in Deep Convolutional Neural Networks with a L1/l2 Pseudo-norm
* Learning Sparse FRAME Models for Natural Image Patterns
* Learning Sparse Geometric Features for Building Segmentation from Low-Resolution Remote-Sensing Images
* Learning Sparse Graphs for Prediction of Multivariate Data Processes
* Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals
* Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
* Learning sparse image representation with support vector regression for single-image super-resolution
* Learning Sparse Kernel Classifiers in the Primal
* Learning Sparse Masks for Diffusion-Based Image Inpainting
* Learning Sparse Multiple Cause Models
* Learning Sparse Neural Networks Through Mixture-Distributed Regularization
* Learning Sparse Prototypes for Crowd Perception via Ensemble Coding Mechanisms
* Learning Sparse Representation for No-Reference Quality Assessment of Multiply Distorted Stereoscopic Images
* Learning Sparse Representation for Objective Image Retargeting Quality Assessment
* Learning Sparse Representations for Human Action Recognition
* Learning sparse tag patterns for social image classification
* Learning Sparse Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)
* Learning sparse, overcomplete representations of time-varying natural images
* Learning sparsifying transforms for image processing
* Learning Spatial-Aware Regressions for Visual Tracking
* Learning Spatial-Context-Aware Global Visual Feature Representation for Instance Image Retrieval
* Learning Spatial-Frequency Transformer for Visual Object Tracking
* Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition
* Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
* Learning Spatial-Semantic Relationship for Facial Attribute Recognition with Limited Labeled Data
* Learning Spatial-Spectral Features for Hyperspectral Image Classification
* Learning spatial-temporal deformable networks for unconstrained face alignment and tracking in videos
* Learning Spatial-Temporal Embeddings for Sequential Point Cloud Frame Interpolation
* Learning spatial-temporal features for video copy detection by the combination of CNN and RNN
* Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution
* Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
* Learning Spatial-Temporal Representations Over Walking Tracklet for Long-Term Person Re-Identification in the Wild
* Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising
* Learning Spatial and Spectral Features via 2D-1D Generative Adversarial Network for Hyperspectral Image Super-Resolution
* Learning Spatial and Temporal Cues for Multi-Label Facial Action Unit Detection
* Learning Spatial and Temporal Extents of Human Actions for Action Detection
* Learning Spatial Attention for Face Super-Resolution
* Learning Spatial Awareness to Improve Crowd Counting
* Learning Spatial Common Sense With Geometry-Aware Recurrent Networks
* Learning spatial context from tracking using penalised likelihoods
* Learning Spatial Context: Using Stuff to Find Things
* Learning spatial hierarchies of high-level features in deep neural network
* Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification
* Learning spatial relations and shapes for structural object description and scene recognition
* Learning spatial relations for object-specific segmentation using Bayesian network model
* Learning spatial relations in object recognition
* Learning Spatial Relationships between Samples of Patent Image Shapes
* Learning spatial self-attention information for visual tracking
* Learning Spatial Transforms for Refining Object Segment Proposals
* Learning spatial weighting for facial expression analysis via constrained quadratic programming
* Learning spatial weighting via quadratic programming for facial expression analysis
* Learning Spatially-Adaptive Squeeze-Excitation Networks for Few Shot Image Synthesis
* Learning Spatially-Adaptive Style-Modulation Networks for Single Image Synthesis
* Learning Spatially-Smooth Mappings in Non-Rigid Structure From Motion
* Learning Spatially-Variable Filters for Super-Resolution of Text
* Learning Spatially-Variant MAP Models for Non-blind Image Deblurring
* Learning Spatially Localized, Parts-Based Representation
* Learning Spatially Regularized Correlation Filters for Visual Tracking
* Learning spatially regularized similarity for robust visual tracking
* Learning Spatially Variant Linear Representation Models for Joint Filtering
* Learning Spatio-Appearance Memory Network for High-Performance Visual Tracking
* Learning Spatio-Temporal Attention Based Siamese Network for Tracking UAVs in the Wild
* Learning spatio-temporal co-occurrence correlograms for efficient human action classification
* Learning spatio-temporal context via hierarchical features for visual tracking
* Learning spatio-temporal dependencies for action recognition
* Learning spatio-temporal dependency of local patches for complex motion segmentation
* Learning Spatio-Temporal Downsampling for Effective Video Upscaling
* Learning spatio-temporal features for action recognition from the side of the video
* Learning Spatio-Temporal Features for Action Recognition with Modified Hidden Conditional Random Field
* Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition
* Learning Spatio-Temporal Invariances
* Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data
* Learning Spatio-temporal Patterns for Predicting Object Behaviour
* Learning Spatio-Temporal Representation With Local and Global Diffusion
* Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
* Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach
* Learning Spatio-Temporal Semantics and Cluster Relation for Zero-Shot Action Recognition
* Learning Spatio-Temporal Transformer for Visual Tracking
* Learning Spatiotemporal 3D Convolution with Video Order Self-supervision
* Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition
* Learning Spatiotemporal Attention for Egocentric Action Recognition
* Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction
* Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks
* Learning Spatiotemporal Features Using 3DCNN and Convolutional LSTM for Gesture Recognition
* Learning Spatiotemporal Features with 3D Convolutional Networks
* Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
* Learning spatiotemporal graphs of human activities
* Learning Spatiotemporal Interactions for User-Generated Video Quality Assessment
* Learning spatiotemporal representations for human fall detection in surveillance video
* Learning Spatiotemporal T-Junctions for Occlusion Detection
* Learning Speaker-specific Lip-to-Speech Generation
* Learning specialized activation functions with the Piecewise Linear Unit
* Learning specific-class segmentation from diverse data
* Learning Specific and General Realm Feature Representations for Image Fusion
* Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
* Learning spectral-spatial representations from VHR images for fine-scale crop type mapping: A case study of rice-crayfish field extraction in South China
* Learning Spectral Calibration Parameters for Color Inspection
* Learning Spectral Cues for Multispectral and Panchromatic Image Fusion
* Learning Spectral Descriptors for Deformable Shape Correspondence
* Learning spectral transform for 3D human motion prediction
* Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis
* Learning Speed Invariant Gait Template via Thin Plate Spline Kernel Manifold Fitting
* Learning Spherical Convolution for 360° Recognition
* Learning Splines for Sparse Tomographic Reconstruction
* Learning Sports Camera Selection From Internet Videos
* Learning Spread-Out Local Feature Descriptors
* Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata
* Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach
* Learning Stable Deep Predictive Coding Networks with Weight Norm Supervision
* Learning Stable Nonlinear Cross-Diffusion Models for Image Restoration
* Learning Stacked Image Descriptor for Face Recognition
* Learning Stage-Wise GANs for Whistle Extraction in Time-Frequency Spectrograms
* Learning state machine-based string edit kernels
* Learning Statistical Correlation of Prostate Deformations for Fast Registration
* Learning Statistical Structure for Object Detection
* Learning Statistical Texture for Semantic Segmentation
* Learning statistically relevant edge structure improves low-level visual descriptors
* Learning Steerable Filters for Rotation Equivariant CNNs
* Learning Steerable Function for Efficient Image Resampling
* Learning Steering Kernels for Guided Depth Completion
* Learning Stereo from Single Images
* Learning Stereo Matchability in Disparity Regression Networks
* Learning stick-figure models using nonparametric Bayesian priors over trees
* Learning stochastic edit distance: Application in handwritten character recognition
* Learning Strategies for Knowledge-Base Updating in Online Signature Verification Systems
* Learning Strategies for the Interference Covariance Structure Based on a Bayesian Approach
* Learning Strategy for Amazon Deforestation Estimations Using Multi-Modal Satellite Imagery, A
* Learning Strict Identity Mappings in Deep Residual Networks
* Learning String Edit Distance
* Learning structural and corruption information from samples for Markov random field binary image reconstruction
* Learning structural conjunction of image content by sparse graphical model
* Learning Structural Descriptions from Examples
* Learning Structural Descriptions of Patterns: A New Technique for Conditional Clustering and Rule Generation
* Learning Structural Descriptions of Shape
* Learning structural element patch models with hierarchical palettes
* Learning Structural Models in Multiple Projection Spaces
* Learning Structural Regularity for Evaluating Blocking Artifacts in JPEG Images
* Learning Structural Representations for Recipe Generation and Food Retrieval
* Learning Structural Representations via Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval
* Learning structural shape descriptions from examples
* Learning Structural Similarity of User Interface Layouts Using Graph Networks
* Learning structurally discriminant features in 3D faces
* Learning Structure-And-Motion-Aware Rolling Shutter Correction
* Learning Structure-from-Motion from Motion
* Learning Structure and Strength of CNN Filters for Small Sample Size Training
* Learning Structure Aware Deep Spectral Embedding
* Learning structure of stereoscopic image for no-reference quality assessment with convolutional neural network
* Learning structured and non-redundant representations with deep neural networks
* Learning Structured Appearance Models from Captioned Images of Cluttered Scenes
* Learning Structured Behavior Models using Variable Length Markov Models
* Learning structured concept-segments for interactive video retrieval
* Learning structured dictionaries for image representation
* Learning Structured Gaussians to Approximate Deep Ensembles
* Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning
* Learning Structured Inference Neural Networks with Label Relations
* Learning Structured Low-Rank Representations for Image Classification
* Learning Structured Models for Segmentation of 2-D and 3-D Imagery
* Learning Structured Ordinal Measures for Video Based Face Recognition
* Learning structured prediction models for interactive image labeling
* Learning Structured Relation Embeddings for Fine-Grained Fashion Attribute Recognition
* Learning Structured Visual Detectors From User Input At Multiple Levels
* Learning structured visual dictionary for object tracking
* Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition
* Learning Structures of Visual Patterns from Single Instances
* Learning Student Networks in the Wild
* Learning Style Compatibility for Furniture
* Learning Style Correlation for Elaborate Few-Shot Classification
* Learning Style Subspaces for Controllable Unpaired Domain Translation
* Learning Stylometric Representations for Authorship Analysis
* Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging
* Learning subcategory relevances for category recognition
* Learning subsequential transducers for pattern recognition interpretation tasks
* Learning Subspace Classification Using Subset Approximated Kernel Principal Component Analysis
* Learning Subspace Classifiers and Error Corrective Feature Extraction
* Learning Super-Resolution Coherent Facial Features Using Nonlinear Multiset PLS for Low-Resolution Face Recognition
* Learning Super-Resolution Jointly From External and Internal Examples
* Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream
* Learning superpixel relations for supervised image segmentation
* Learning Superpixels with Segmentation-Aware Affinity Loss
* Learning supervised binary hashing: Optimization vs diversity
* Learning Supervised Topic Models for Classification and Regression from Crowds
* Learning Support and Trivial Prototypes for Interpretable Image Classification
* Learning Support Correlation Filters for Visual Tracking
* Learning Support Vector Machines for A Multi-View Face Model
* Learning Support Vectors for Face Verification and Recognition
* Learning SURF Cascade for Fast and Accurate Object Detection
* Learning Surrogates via Deep Embedding
* Learning Surveillance Tracking Models for the Self-Calibrated Ground Plane
* Learning SVM in Krein Spaces
* Learning switching dynamic models for objects tracking
* Learning Symbolic Descriptions of Shape for Object Recognition in X-Ray Images
* Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
* Learning Symbolic Names for Perceived Colors
* Learning symmetric face pose models online using locally weighted projectron regression
* Learning symmetrical model for head pose estimation
* Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose Estimation
* Learning Symmetry Consistent Deep CNNs for Face Completion
* Learning System for Consolidated Recognition and Motion Analysis, A
* learning system for terrain recognition, A
* Learning system of human facial expression for a family robot
* Learning target-aware correlation filters for visual tracking
* Learning Target-Oriented Dual Attention for Robust RGB-T Tracking
* Learning Target-specific Response Attention for Siamese Network Based Visual Tracking
* Learning Target Candidate Association to Keep Track of What Not to Track
* Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex
* Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice
* Learning Task-Specific Object Recognition and Scene Understanding
* Learning TBox With a Cascaded Anchor-Free Network for Vehicle Detection
* Learning Techniques Applied to Multi-Font Character Recognition
* Learning Templates for Artistic Portrait Lighting Analysis
* Learning Temporal-Correlated and Channel- Decorrelated Siamese Networks for Visual Tracking
* Learning Temporal Action Proposals With Fewer Labels
* Learning Temporal Alignment Uncertainty for Efficient Event Detection
* Learning Temporal Co-Attention Models for Unsupervised Video Action Localization
* Learning Temporal Consistency for Low Light Video Enhancement from Single Images
* Learning Temporal Context in Active Object Recognition Using Bayesian Analysis
* Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach
* Learning Temporal Dynamics from Cycles in Narrated Video
* Learning Temporal Embeddings for Complex Video Analysis
* Learning Temporal Features for Detection on Maritime Airborne Video Sequences Using Convolutional LSTM
* Learning Temporal Regularity in Video Sequences
* Learning Temporal Relations from Semantic Neighbors for Acoustic Scene Classification
* Learning Temporal Sequence Model from Partially Labeled Data
* Learning temporal signatures for Lip Reading
* Learning temporal structure for task based control
* Learning Temporal Transformations from Time-Lapse Videos
* Learning Temporal Video Procedure Segmentation from an Automatically Collected Large Dataset
* Learning temporally consistent rigidities
* Learning temporally correlated representations using LSTMS for visual tracking
* Learning Temporary Block-Based Bidirectional Incongruity-Aware Correlation Filters for Efficient UAV Object Tracking
* Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction
* Learning test-time augmentation for content-based image retrieval
* Learning Text-Line Segmentation Using Codebooks and Graph Partitioning
* Learning texton models for real-time scene context
* Learning Texture-Discrimination Masks
* Learning Texture-Discrimination Rules in a Multiresolution System
* Learning Texture Enhancement Prior with Deep Unfolding Network for Snapshot Compressive Imaging
* Learning Texture Image Prior for Super Resolution Using Restricted Boltzmann Machine
* Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
* Learning Texture Transformer Network for Image Super-Resolution
* Learning the 3d Pose of Vehicles From 2d Vehicle Patches
* Learning the abstract motion semantics of verbs from captioned videos
* Learning the Appearance of Faces: A Morphable Model for the Analysis and Synthesis of Images
* Learning the Behavior of Users in a Public Space through Video Tracking
* Learning the Best Pooling Strategy for Visual Semantic Embedding
* Learning the best subset of local features for face recognition
* Learning the Change for Automatic Image Cropping
* Learning the characteristics of critical cells from web tables
* Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories
* Learning the Compositional Domains for Generalized Zero-shot Learning
* Learning the Compositional Nature of Visual Object Categories for Recognition
* Learning the Compositional Nature of Visual Objects
* Learning The Compositional Structure Of Man-Made Objects For 3d Shape Retrieval
* Learning the Connectivity: Situational Graph Convolution Network for Facial Expression Recognition
* Learning the Cost of Edit Operations for Edit Distances
* Learning the Deep Features for Eye Detection in Uncontrolled Conditions
* Learning the Depths of Moving People by Watching Frozen People
* Learning the discriminative dictionary for sparse representation by a general fisher regularized model
* Learning The Discriminative Power-Invariance Trade-Off
* Learning the Distribution-Based Temporal Knowledge with Low Rank Response Reasoning for UAV Visual Tracking
* Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation
* Learning the Distribution of Object Trajectories for Event Recognition
* Learning the Distribution Preserving Semantic Subspace for Clustering
* Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects
* Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network
* Learning the easy things first: Self-paced visual category discovery
* Learning the Face Prior for Bayesian Face Recognition
* Learning the Face Space: Representation and Recognition
* Learning the Floor Type for Automated Detection of Dirt Spots for Robotic Floor Cleaning Using Gaussian Mixture Models
* Learning the Geometric Structure of Manifolds with Singularities Using the Tensor Voting Graph
* Learning the Global Descriptor for 3-D Object Recognition Based on Multiple Views Decomposition
* Learning the Graph Edit Distance Parameters for Point-Set Image Registration
* Learning the Human Face Concept from Black and White Images
* Learning the Image Processing Pipeline
* Learning the Incremental Warp for 3D Vehicle Tracking in LiDAR Point Clouds
* Learning the Information Divergence
* Learning the Inverse Dynamics of Robotic Manipulators in Structured Reproducing Kernel Hilbert Space
* Learning the Kernel Combination for Object Categorization
* Learning the kernel matrix by maximizing a KFD-based class separability criterion
* Learning the kernel parameters in kernel minimum distance classifier
* Learning the Kernel Through Examples: An Application to Shape Classification
* Learning the Latent Look: Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images
* Learning the Lexicon from raw texts for open-vocabulary Korean word recognition
* Learning the Link between Albedo and Reflectance: Machine Learning-Based Prediction of Hyperspectral Bands from CTX Images
* Learning the Model Update for Siamese Trackers
* Learning the model update with local trusted templates for visual tracking
* Learning The Morphological Diversity
* Learning the Multilinear Structure of Visual Data
* Learning the nature of generalisation errors in a 3D morphable model
* Learning the Non-differentiable Optimization for Blind Super-Resolution
* Learning the Optimal Transformation of Salient Features for Image Classification
* Learning the Parts of Objects by non-Negative Matrix Factorization
* Learning the Personalized Intransitive Preferences of Images
* Learning the Policy for Mixed Electric Platoon Control of Automated and Human-Driven Vehicles at Signalized Intersection: A Random Search Approach
* Learning the Predictability of the Future
* Learning the Principles of Art History with convolutional neural networks
* Learning the Probability of Correspondences without Ground Truth
* Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval
* Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition
* Learning the Relation Between Interested Objects and Aesthetic Region for Image Cropping
* Learning the Relation Between Similarity Loss and Clustering Loss in Self-Supervised Learning
* Learning the Relationship Between High and Low Resolution Images in Kernel Space for Face Super Resolution
* Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search
* Learning the right model: Efficient max-margin learning in Laplacian CRFs
* Learning the Roots of Visual Domain Shift
* Learning the Sampling Pattern for MRI
* Learning the Scene Illumination for Color-Based People Tracking in Dynamic Environment
* Learning the Semantic Landscape: Embedding scene knowledge in object tracking
* Learning the Semantics in Image Retrieval: A Natural Language Processing Approach
* Learning the Semantics of Images by Using Unlabeled Samples
* Learning the Semantics of Words and Pictures
* Learning the Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks
* Learning the shape manifold to improve object recognition
* Learning the Space of Deep Models
* Learning the spatiotemporal variability in longitudinal shape data sets
* Learning the Spherical Harmonic Features for 3-D Face Recognition
* Learning the Statistics of People in Images and Video
* Learning the Structure of Deep Architectures Using L1 Regularization
* Learning the Structure of Deep Convolutional Networks
* Learning the Structure of Objects from Web Supervision
* Learning the Stylistic Similarity Between Human Motions
* Learning the Sub-optimal Graph Edit Distance Edit Costs Based on an Embedded Model
* Learning the Superpixel in a Non-iterative and Lifelong Manner
* Learning the Synthesizability of Dynamic Texture Samples
* Learning the Taxonomy and Models of Categories Present in Arbitrary Images
* Learning the Topology of Object Views
* Learning the Traditional Art of Chinese Calligraphy via Three-Dimensional Reconstruction and Assessment
* Learning the trip suggestion from landmark photos on the web
* Learning the viewpoint manifold for action recognition
* Learning the Visual Interpretation of Sentences
* Learning the weight matrix for sparsity averaging in compressive imaging
* Learning Theory of Randomized Sparse Kaczmarz Method
* Learning Through Serious Games: A Digital Design Museum for Education
* Learning time-aware features for action quality assessment
* Learning Time/Memory-Efficient Deep Architectures with Budgeted Super Networks
* Learning to Acquire the Quality of Human Pose Estimation
* Learning to Act on Objects
* Learning to Act Properly: Predicting and Explaining Affordances from Images
* Learning to Active Learn by Gradient Variation based on Instance Importance
* Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification
* Learning to Adapt Adversarial Perturbation Consistency for Domain Adaptive Semantic Segmentation of Remote Sensing Images
* Learning to Adapt for Stereo
* Learning to Adapt Invariance in Memory for Person Re-Identification
* Learning to Adapt Structured Output Space for Semantic Segmentation
* Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection
* Learning to Adapt to Light
* Learning to Adapt to Unseen Abnormal Activities Under Weak Supervision
* Learning to Adapt With Memory for Probabilistic Few-Shot Learning
* Learning to Adapt: A Method for Automatic Tuning of Algorithm Parameters
* Learning to Adjust and Refine Gait Patterns for a Biped Robot
* Learning to Adversarially Blur Visual Object Tracking
* Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification
* Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection
* Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis
* Learning to Align Images Using Weak Geometric Supervision
* Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization
* Learning to Align Sequential Actions in the Wild
* Learning to Align via Wasserstein for Person Re-Identification
* Learning to Anonymize Faces for Privacy Preserving Action Detection
* Learning to Answer Questions in Dynamic Audio-Visual Scenarios
* Learning to Anticipate Egocentric Actions by Imagination
* Learning to Anticipate Future with Dynamic Context Removal
* Learning to approximate global shape priors for figure-ground segmentation
* Learning to Ask Informative Sub-Questions for Visual Question Answering
* Learning to Assemble Neural Module Tree Networks for Visual Grounding
* Learning to Assign Orientations to Feature Points
* Learning to Associate Every Segment for Video Panoptic Segmentation
* Learning to Associate Faces across Views in Vector Space of Similarities to Prototypes
* Learning to Associate Words and Images Using a Large-Scale Graph
* Learning to associate: HybridBoosted multi-target tracker for crowded scene
* Learning to Augment Poses for 3D Human Pose Estimation in Images and Videos
* Learning to Autofocus
* Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks
* Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
* Learning to Balance the Learning Rates Between Various Modalities via Adaptive Tracking Factor
* Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos
* Learning to Blend Photos
* Learning To Blindly Assess Image Quality In The Laboratory And Wild
* Learning to Boost Bottom-Up Fixation Prediction in Driving Environments via Random Forest
* Learning to Boost Filamentary Structure Segmentation
* Learning to Bundle-adjust: A Graph Network Approach to Faster Optimization of Bundle Adjustment for Vehicular SLAM
* Learning to Calibrate Straight Lines for Fisheye Image Rectification
* Learning to Caption Images Through a Lifetime by Asking Questions
* Learning to capture dependencies between global features of different convolution layers
* Learning to Capture Light Fields Through a Coded Aperture Camera
* Learning to Capture the Query Distribution for Few-Shot Learning
* Learning to Caricature via Semantic Shape Transform
* Learning to Cartoonize Using White-Box Cartoon Representations
* Learning to Censor by Noisy Sampling
* Learning to Class-Adaptively Manipulate Embeddings for Few-Shot Learning
* Learning to classify by ongoing feature selection
* Learning to classify gender from four million images
* Learning to Classify Structures in ALS-Derived Visualizations of Ancient Maya Settlements with CNN
* Learning to Classify Weather Conditions from Single Images Without Labels
* Learning to Cluster Faces on an Affinity Graph
* Learning to Cluster Faces via Confidence and Connectivity Estimation
* Learning to Cluster Under Domain Shift
* Learning to cluster using high order graphical models with latent variables
* Learning to Co-Generate Object Proposals with a Deep Structured Network
* Learning to Collaborate in Decentralized Learning of Personalized Models
* Learning to Collocate Neural Modules for Image Captioning
* Learning to Collocate Visual-Linguistic Neural Modules for Image Captioning
* Learning to Combine Bottom-Up and Top-Down Segmentation
* Learning to Combine Mid-Level Cues for Object Proposal Generation
* Learning to combine the modalities of language and video for temporal moment localization
* Learning to Combine: Knowledge Aggregation for Multi-source Domain Adaptation
* Learning to compare image patches via convolutional neural networks
* Learning to Compare Relation: Semantic Alignment for Few-Shot Learning
* Learning to Compare: Relation Network for Few-Shot Learning
* Learning to complete partial observations from unpaired prior knowledge
* Learning To Compose 6-DOF Omnidirectional Videos Using Multi-Sphere Images
* Learning to Compose and Reason with Language Tree Structures for Visual Grounding
* Learning to Compose Dynamic Tree Structures for Visual Contexts
* Learning to Compose Hypercolumns for Visual Correspondence
* Learning to compress videos without computing motion
* Learning to Coordinate Traffic Signals With Adaptive Network Partition
* Learning to Correct Axial Motion in OCT for 3D Retinal Imaging
* Learning to Correct Sloppy Annotations in Electron Microscopy Volumes
* Learning To Count Everything
* Learning to Count in the Crowd from Limited Labeled Data
* Learning to Count Leaves in Rosette Plants
* Learning to Count with Back-propagated Information
* Learning to Count with CNN Boosting
* Learning to count with deep object features
* Learning to count with regression forest and structured labels
* Learning to Create Cartoon Images from a Very Small Dataset
* Learning to Cut by Watching Movies
* Learning to Deblur Adaptive Optics Retinal Images
* Learning to Deblur Images with Exemplars
* Learning to Deblur using Light Field Generated and Real Defocus Images
* Learning to Deblur
* Learning to Decipher License Plates in Severely Degraded Images
* Learning to describe color composition of visual objects
* Learning to Describe E-Commerce Images from Noisy Online Data
* Learning to Detect 3D Lanes by Shape Matching and Embedding
* Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model
* Learning to Detect 3D Symmetry From Single-View RGB-D Images With Weak Supervision
* Learning to Detect a Salient Object
* Learning to Detect Aircraft at Low Resolutions
* Learning to Detect and Match Keypoints with Deep Architectures
* Learning to Detect and Retrieve Objects From Unlabeled Videos
* Learning to Detect and Segment for Open Vocabulary Object Detection
* Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World
* Learning to Detect Anomalies in Surveillance Video
* Learning to Detect Basal Tubules of Nematocysts in SEM Images
* Learning to Detect Carried Objects with Minimal Supervision
* Learning to detect concepts with Approximate Laplacian Eigenmaps in large-scale and online settings
* Learning to detect contours in natural images via biologically motivated schemes
* Learning to Detect Contours with Dynamic Programming Snakes
* Learning to Detect Every Thing in an Open World
* Learning to Detect Features in Texture Images
* Learning to Detect Fine-Grained Change Under Variant Imaging Conditions
* Learning to Detect Good 3D Keypoints
* Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching
* Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild
* Learning to Detect Human-Object Interactions With Knowledge
* Learning to Detect Human-Object Interactions
* Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection
* Learning to Detect Instance-Level Salient Objects Using Complementary Image Labels
* Learning to detect low-level features
* Learning to Detect Mirrors from Videos via Dual Correspondences
* Learning to Detect Mobile Objects from LiDAR Scans Without Labels
* Learning to detect Motion Boundaries
* Learning to Detect Moving Shadows in Dynamic Environments
* Learning to Detect Multiple Photographic Defects
* Learning to detect natural image boundaries using local brightness, color, and texture cues
* Learning to Detect Objects in Images via a Sparse, Part-Based Representation
* Learning to Detect Objects of Many Classes Using Binary Classifiers
* Learning to Detect Open Classes for Universal Domain Adaptation
* Learning to Detect Partially Overlapping Instances
* Learning to Detect Phone-related Pedestrian Distracted Behaviors with Synthetic Data
* Learning to Detect Roads in High-Resolution Aerial Images
* Learning to Detect Rooftops in Aerial Images
* Learning to Detect Salient Object With Multi-Source Weak Supervision
* Learning to Detect Salient Objects in Natural Scenes Using Visual Attention
* Learning to Detect Salient Objects with Image-Level Supervision
* Learning to Detect Scene Landmarks for Camera Localization
* Learning to Detect Scene Text Using a Higher-Order MRF with Belief Propagation
* Learning to Detect Semantic Boundaries with Image-Level Class Labels
* Learning to Detect Small Impact Craters
* Learning to Detect Stent Struts in Intravascular Ultrasound
* Learning to Detect Tables in Scanned Document Images Using Line Information
* Learning to detect traffic signs: Comparative evaluation of synthetic and real-world datasets
* Learning to detect unseen object classes by between-class attribute transfer
* Learning to Detect Vehicles by Clustering Appearance Patterns
* Learning to detect video events from zero or very few video examples
* Learning to Detect Video Saliency With HEVC Features
* Learning to detect violent videos using convolutional long short-term memory
* Learning to detect, localize and recognize many text objects in document images from few examples
* Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis
* Learning to Disambiguate by Asking Discriminative Questions
* Learning To Disambiguate Strongly Interacting Hands via Probabilistic Per-Pixel Part Segmentation
* Learning to Discover a Unified Architecture for Low-Level Vision
* Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition
* Learning to Discover Novel Visual Categories via Deep Transfer Clustering
* Learning to Discover Reflection Symmetry via Polar Matching Convolution
* Learning to Discriminate Information for Online Action Detection
* Learning to Discriminate Information for Online Action Detection: Analysis and Application
* Learning to Disentangle Latent Physical Factors for Video Prediction
* Learning To Disentangle Representations for Rain Streak Removal
* Learning to disentangle scenes for person re-identification
* Learning to display high dynamic range images
* Learning to Distill Convolutional Features into Compact Local Descriptors
* Learning to Distill Global Representation for Sparse-View CT
* Learning to Distort Images Using Generative Adversarial Networks
* Learning to Distribute Vocabulary Indexing for Scalable Visual Search
* Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification
* Learning to Diversify for Single Domain Generalization
* Learning to Divide and Conquer for Online Multi-target Tracking
* Learning to Dodge A Bullet: Concyclic View Morphing via Deep Learning
* Learning to Draw Sight Lines
* Learning to Draw Through A Multi-Stage Environment Model Based Reinforcement Learning
* Learning to Dress 3D People in Generative Clothing
* Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining
* Learning to drive from a world on rails
* Learning to Drive Like Human Beings: A Method Based on Deep Reinforcement Learning
* Learning to Drive Using Sparse Imitation Reinforcement Learning
* Learning to Dub Movies via Hierarchical Prosody Models
* Learning to Efficiently Detect Repeatable Interest Points in Depth Data
* Learning to Eliminate Background Effects in Object Recognition
* Learning to Embed Semantic Similarity for Joint Image-Text Retrieval
* Learning to encode user-generated short videos with lower bitrate and the same perceptual quality
* Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
* Learning to Estimate 3D Hand Pose from Single RGB Images
* Learning to Estimate 3D Human Pose and Shape from a Single Color Image
* Learning to Estimate and Remove Non-uniform Image Blur
* Learning to Estimate Hidden Motions with Global Motion Aggregation
* Learning to Estimate Human Pose with Data Driven Belief Propagation
* Learning to Estimate Indoor Lighting from 3D Objects
* Learning to Estimate Multi-view Pose from Object Silhouettes
* Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes
* Learning to Evaluate Image Captioning
* Learning to Evaluate Perception Models Using Planner-Centric Metrics
* Learning to Explain With Complemental Examples
* Learning to Exploit Multiple Vision Modalities by Using Grafted Networks
* Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
* Learning to Exploit the Prior Network Knowledge for Weakly Supervised Semantic Segmentation
* Learning to Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization
* Learning to Explore Distillability and Sparsability: A Joint Framework for Model Compression
* Learning to Explore Intrinsic Saliency for Stereoscopic Video
* Learning to Explore Saliency for Stereoscopic Videos Via Component-Based Interaction
* Learning to Extract a Video Sequence from a Single Motion-Blurred Image
* Learning to Extract Building Footprints From Off-Nadir Aerial Images
* Learning to Extract Flawless Slow Motion From Blurry Videos
* Learning to Extract Focused Objects From Low DOF Images
* Learning to Extract Motion from Videos in Convolutional Neural Networks
* Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks
* Learning to Extract Temporal Signal Patterns from Temporal Signal Sequence
* Learning to Factorize and Relight a City
* Learning to Film From Professional Human Motion Videos
* Learning to Filter Object Detections
* Learning to Filter: Siamese Relation Network for Robust Tracking
* Learning to Find Common Objects Across Few Image Collections
* Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks
* Learning To Find Good Correspondences Of Multiple Objects
* Learning to Find Good Correspondences
* Learning to Find Good Models in RANSAC
* Learning to Find Graph Pre-images
* Learning to Find Object Boundaries Using Motion Cues
* Learning to find occlusion regions
* Learning to Find Unpaired Cross-Spectral Correspondences
* Learning to Fit Morphable Models
* Learning to Fixate on 3D Targets with Uncalibrated Active Cameras
* Learning to Focus and Discriminate for Fine-Grained Classification
* Learning to focus on region-of-interests for pain intensity estimation
* Learning to Forecast and Refine Residual Motion for Image-to-Video Generation
* Learning to Forget for Meta-Learning via Task-and-Layer-Wise Attenuation
* Learning to Forget for Meta-Learning
* Learning to Form Large Groups of Salient Image Features
* Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation
* Learning to Fuse Asymmetric Feature Maps in Siamese Trackers
* Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes
* Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching
* Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification
* Learning to Generate 3D Stylized Character Expressions from Humans
* Learning to Generate 3D Training Data Through Hybrid Gradient
* Learning to generate chairs with convolutional neural networks
* Learning to Generate Chairs, Tables and Cars with Convolutional Networks
* Learning to Generate Customized Dynamic 3d Facial Expressions
* Learning to Generate Dense Point Clouds with Textures on Multiple Categories
* Learning to Generate Facial Depth Maps
* Learning to Generate Grounded Visual Captions Without Localization Supervision
* Learning to Generate High-Quality Images for Homography Estimation
* Learning to Generate Image Embeddings with User-Level Differential Privacy
* Learning to generate images with perceptual similarity metrics
* Learning to Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic Space
* Learning to generate line drawings that convey geometry and semantics
* Learning to Generate Multi-Exposure Stacks With Cycle Consistency for High Dynamic Range Imaging
* Learning to Generate Novel Domains for Domain Generalization
* Learning to generate novel views of objects for class recognition
* Learning to Generate Object Segment Proposals with Multi-modal Cues
* Learning to Generate Realistic LiDAR Point Clouds
* Learning to Generate Scene Graph from Natural Language Supervision
* Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis
* Learning to Generate Synthetic Data via Compositing
* Learning to Generate Text-Grounded Mask for Open-World Semantic Segmentation from Only Image-Text Pairs
* Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift
* Learning to Generate Time-Lapse Videos Using Multi-stage Dynamic Generative Adversarial Networks
* Learning to Grasp Familiar Objects Based on Experience and Objects' Shape Affordance
* Learning to Ground Instructional Articles in Videos through Narrations
* Learning to Group Objects
* Learning to Group Text Lines and Regions in Freeform Handwritten Notes
* Learning to Guide a Saturation-Based Theorem Prover
* Learning to Guide Local Feature Matches
* Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision
* Learning to Hallucinate Face in the Dark
* Learning to Hash for Personalized Image Authentication
* Learning to Hash with Binary Deep Neural Network
* Learning to Hash With Dimension Analysis Based Quantizer for Image Retrieval
* Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval
* Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval
* Learning to Have an Ear for Face Super-Resolution
* Learning to Identify and Track Faces in Image Sequences
* Learning to Identify Correct 2D-2D Line Correspondences on Sphere
* Learning to Identify Critical States for Reinforcement Learning from Videos
* Learning to Identify Facial Expression During Detection Using Markov Decision Process
* Learning to Identify Illegal Landfills through Scene Classification in Aerial Images
* Learning to identify leaders in crowd
* Learning to Identify Physical Parameters from Video Using Differentiable Physics
* Learning to Identify While Failing to Discriminate
* Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data
* Learning to Imitate Human Movement to Adapt to Environmental Changes
* Learning to Immunize Images for Tamper Localization and Self-Recovery
* Learning to Implicitly Represent 3D Human Body From Multi-scale Features and Multi-view Images
* Learning to Index for Nearest Neighbor Search
* Learning to Index in Large-Scale Datasets
* Learning to infer human attention in daily activities
* Learning to Infer Public Emotions from Large-Scale Networked Voice Data
* Learning to Infer Semantic Parameters for 3D Shape Editing
* Learning to Infer Unseen Single-/ Multi-Attribute-Object Compositions With Graph Networks
* Learning to Inpaint by Progressively Growing the Mask Regions
* Learning to Integrate Occlusion-Specific Detectors for Heavily Occluded Pedestrian Detection
* Learning to Invert Local Binary Patterns
* Learning to Joint Remosaic and Denoise in Quad Bayer CFA via Universal Multi-scale Channel Attention Network
* Learning to Jointly Generate and Separate Reflections
* Learning to Jointly Segment the Liver, Lesions and Vessels from Partially Annotated Datasets
* Learning to Know Where to See: A Visibility-Aware Approach for Occluded Person Re-identification
* Learning to Learn across Diverse Data Biases in Deep Face Recognition
* Learning to Learn and Remember Super Long Multi-Domain Task Sequence
* Learning to Learn Better Unimodal Representations via Adaptive Multimodal Meta-Learning
* Learning to Learn by Jointly Optimizing Neural Architecture and Weights
* Learning to Learn Cropping Models for Different Aspect Ratio Requirements
* Learning to Learn From Noisy Labeled Data
* Learning to Learn from Noisy Web Videos
* Learning to Learn from Web Data Through Deep Semantic Embeddings
* Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
* Learning to Learn Image Classifiers With Visual Analogy
* Learning to Learn in a Semi-Supervised Fashion
* Learning to Learn Parameterized Classification Networks for Scalable Input Images
* Learning to Learn Relation for Important People Detection in Still Images
* Learning to Learn Second-Order Back-Propagation for CNNs Using LSTMs
* Learning to Learn Single Domain Generalization
* Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning
* Learning to Learn with Smooth Regularization
* Learning to Learn With Variational Inference for Cross-Domain Image Classification
* Learning to Learn with Variational Information Bottleneck for Domain Generalization
* Learning to Learn Words from Visual Scenes
* Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective
* Learning to learn: From smart machines to intelligent machines
* Learning to Learn: How to Continuously Teach Humans and Machines
* Learning to Learn: Model Regression Networks for Easy Small Sample Learning
* Learning to lip read words by watching videos
* Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion
* Learning to Localise and Count with Incomplete Dot-Annotations
* Learning to Localize Actions from Moments
* Learning to localize detected objects
* Learning to Localize Little Landmarks
* Learning to Localize Objects with Structured Output Regression
* Learning to Localize Sound Source in Visual Scenes
* Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications
* Learning to Localize Through Compressed Binary Maps
* Learning to Locate Cortical Bone in MRI
* Learning to locate for fine-grained image recognition
* Learning to Locate Informative Features for Visual Identification
* Learning to Look around Objects for Top-View Representations of Outdoor Scenes
* Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks
* Learning to Look at Humans: What Are the Parts of a Moving Body?
* Learning to look up: Realtime monocular gaze correction using machine learning
* Learning to Manipulate Individual Objects in an Image
* Learning to Map Vehicles into Bird's Eye View
* Learning to Match Aerial Images with Deep Attentive Architectures
* Learning to Match Anchor-Target Video Pairs With Dual Attentional Holographic Networks
* Learning to Match Anchors for Visual Object Detection
* Learning to Match Appearances by Correlations in a Covariance Metric Space
* Learning to Match Features with Seeded Graph Matching Network
* Learning to Match Images in Large-Scale Collections
* Learning to Match: Deriving Optimal Template-Matching Algorithms from Probabilistic Image Models
* Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space
* Learning to Measure the Static Friction Coefficient in Cloth Contact
* Learning to Memorize Feature Hallucination for One-Shot Image Generation
* Learning to Mimic Motion of Human Arm and Hand Grabbing for Constraint Adaptation
* Learning to Minify Photometric Stereo
* Learning to Minimize the Remainder in Supervised Learning
* Learning to Model and Calibrate Optics Via a Differentiable Wave Optics Simulator
* Learning to Model Relationships for Zero-Shot Video Classification
* Learning to multimodal hash for robust video copy detection
* Learning to Name Classes for Vision and Language Models
* Learning to Name Objects
* Learning to Navigate for Fine-Grained Classification
* Learning to Navigate in the Gaussian Mixture Surface
* Learning to Navigate on a Graph
* Learning to Navigate Robotic Wheelchairs from Demonstration: Is Training in Simulation Viable?
* Learning to Navigate the Energy Landscape
* Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations
* Learning to Optimize Domain Specific Normalization for Domain Generalization
* Learning to Optimize Non-Rigid Tracking
* Learning to Optimize on Riemannian Manifolds
* Learning to Optimize on SPD Manifolds
* Learning to Overcome Noise in Weak Caption Supervision for Object Detection
* Learning to Paint With Model-Based Deep Reinforcement Learning
* Learning to Parse Pictures of People
* Learning to Parse Wireframes in Images of Man-Made Environments
* Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification
* Learning to Perform Visual Tasks from Human Demonstrations
* Learning to Personalize in Appearance-Based Gaze Tracking
* Learning to Photograph: A Compositional Perspective
* Learning to Plan Semantic Free-Space Boundary
* Learning to Plan with Uncertain Topological Maps
* Learning to pool high-level features for face representation
* Learning to Predict 3D Mesh Saliency
* Learning to Predict 3D Surfaces of Sculptures from Single and Multiple Views
* Learning to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network
* Learning to Predict Context-adaptive Convolution for Semantic Segmentation
* Learning to Predict Crisp Boundaries
* Learning to predict crop type from heterogeneous sparse labels using meta-learning
* Learning to Predict Decomposed Dynamic Filters for Single Image Motion Deblurring
* Learning to Predict Gaze in Egocentric Video
* Learning to predict gender from iris images
* Learning to Predict High-Quality Edge Maps for Room Layout Estimation
* Learning to Predict Keypoints and Structure of Articulated Objects without Supervision
* Learning to Predict Lidar Intensities
* Learning to Predict Saliency on Face Images
* Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model
* Learning to Predict Scene-Level Implicit 3D from Posed RGBD Data
* Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps
* Learning to predict super resolution wavelet coefficients
* Learning to predict the perceived visual quality of photos
* Learning to predict the quality of distorted-then-compressed images via a deep neural network
* Learning to Predict Visual Attributes in the Wild
* Learning to predict where humans look
* Learning to Predict where the Children with ASD Look
* Learning to Produce 3D Media From a Captured 2D Video
* Learning to Promote Saliency Detectors
* Learning to Prompt CLIP for Monocular Depth Estimation: Exploring the Limits of Human Language
* Learning to Prompt for Continual Learning
* Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
* Learning to Prompt for Vision-Language Models
* Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction
* Learning to propose objects
* Learning to Prune Filters in Convolutional Neural Networks
* Learning to Prune in Training via Dynamic Channel Propagation
* Learning to Purification for Unsupervised Person Re-Identification
* Learning to Push the Limits of Efficient FFT-Based Image Deconvolution
* Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss
* Learning to Rank 3D Features
* Learning to rank approach for refining image retrieval in visual arts
* Learning to Rank Atlases for Multiple-Atlas Segmentation
* Learning to Rank Based on Subsequences
* Learning to rank biological motion trajectories
* Learning to Rank Food Images
* Learning to Rank for Active Learning: A Listwise Approach
* Learning to Rank from Medical Imaging Data
* Learning to Rank Histograms for Object Retrieval
* Learning to Rank Image Tags With Limited Training Examples
* Learning to rank images from eye movements
* Learning to rank images using semantic and aesthetic labels
* Learning to rank in person re-identification with metric ensembles
* Learning to Rank Proposals for Object Detection
* Learning to Rank Proposals for Siamese Visual Tracking
* Learning to Rank Retargeted Images
* Learning to rank salient segments extracted by multispectral Quantum Cuts
* Learning to rank tags
* Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data
* Learning to Rank Using High-Order Information
* Learning to Rank Using Privileged Information
* Learning to rank videos personally using multiple clues
* Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
* Learning to Read L'Infinito: Handwritten Text Recognition with Synthetic Training Data
* Learning to realign hierarchy for image segmentation
* Learning to Reason: End-to-End Module Networks for Visual Question Answering
* Learning to Reassemble Shredded Documents
* Learning to recognise 3D human action from a new skeleton-based representation using deep convolutional neural networks
* Learning to Recognise Talking Faces
* Learning to Recognize 3D Objects with SNoW
* Learning to recognize a sign from a single example
* Learning to Recognize Actions on Objects in Egocentric Video With Attention Dictionaries
* Learning to Recognize Activities from the Wrong View Point
* Learning to Recognize and Grasp Objects
* Learning to Recognize Complex Actions Using Conditional Random Fields
* Learning to Recognize Daily Actions Using Gaze
* Learning to Recognize Faces from Examples
* Learning to recognize faces from videos and weakly related information cues
* Learning to Recognize Faces Incrementally
* Learning to recognize gender using experience
* Learning to recognize generic visual categories using a hybrid structural approach
* Learning to recognize Hand-printed Chinese characters using Inductive Logic Programming
* Learning to Recognize Human Actions From Noisy Skeleton Data Via Noise Adaptation
* Learning to Recognize Human Activities Using Soft Labels
* Learning to Recognize Objects by Retaining Other Factors of Variation
* Learning to Recognize Objects from Unseen Modalities
* Learning to recognize objects in egocentric activities
* Learning To Recognize Objects Using Feature Indexed Hypotheses
* Learning to Recognize Objects with Little Supervision
* Learning to Recognize Objects
* Learning to recognize opinion targets using recurrent neural networks
* Learning to recognize patterns with a probabilistic teacher
* Learning to recognize people in a smart environment
* Learning To Recognize Procedural Activities with Distant Supervision
* Learning to recognize shadows in monochromatic natural images
* Learning to Recognize Touch Gestures: Recurrent vs. Convolutional Features and Dynamic Sampling
* Learning to Recognize Unsuccessful Activities Using a Two-Layer Latent Structural Model
* Learning to Recognize Video-Based Spatiotemporal Events
* Learning to Recognize Visual Dynamic Events from Examples
* Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
* Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop
* Learning to Reconstruct 3D Manhattan Wireframes From a Single Image
* Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
* Learning to Reconstruct and Understand Indoor Scenes From Sparse Views
* Learning to Reconstruct Computed Tomography Images Directly From Sinogram Data Under A Variety of Data Acquisition Conditions
* Learning to Reconstruct CT Images From the VVBP-Tensor
* Learning to Reconstruct HDR Images from Events, with Applications to Depth and Flow Prediction
* Learning to Reconstruct High-Quality 3D Shapes with Cascaded Fully Convolutional Networks
* Learning to Reconstruct High Speed and High Dynamic Range Videos from Events
* Learning to Reconstruct People in Clothing From a Single RGB Camera
* Learning to Reconstruct Symmetric Shapes using Planar Parameterization of 3D Surface
* Learning to Reconstruct Texture-Less Deformable Surfaces from a Single View
* Learning to Recover 3D Scene Shape from a Single Image
* Learning to recover lost details from the dark
* Learning to rectify for robust learning with noisy labels
* Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data
* Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification
* Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching
* Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization
* Learning to Refine 3D Human Pose Sequences
* Learning to refine depth for robust stereo estimation
* Learning to Refine Human Pose Estimation
* Learning to Refine Object Segments
* Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision
* Learning to Regress Bodies from Images using Differentiable Semantic Rendering
* Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
* Learning to Relate Images
* Learning to Remember Past to Predict Future for Visual Tracking
* Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
* Learning to Remove Rain in Video With Self-Supervision
* Learning to remove reflections from windshield images
* Learning to Remove Refractive Distortions from Underwater Images
* Learning to Remove Shadows from a Single Image
* Learning to remove staff lines from music score images
* Learning to Render Better Image Previews
* Learning to Render Novel Views from Wide-Baseline Stereo Pairs
* Learning to Represent Handwritten Shapes and Words for Matching and Recognition
* Learning to rerank images with enhanced spatial verification
* Learning to Rerank Web Images
* Learning to Resize Images for Computer Vision Tasks
* Learning to resolve uncertainties for large-scale face recognition
* Learning to Restore 3D Face from In-the-Wild Degraded Images
* Learning to restore deteriorated line drawing
* Learning to Restore Hazy Video: A New Real-World Dataset and A New Method
* Learning to Restore Images Degraded by Atmospheric Turbulence Using Uncertainty
* Learning to Restore Low-Light Images via Decomposition-and-Enhancement
* Learning to restore multiple image degradations simultaneously
* Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
* Learning to Sample
* Learning to Scale Multilingual Representations for Vision-Language Tasks
* Learning to schedule multi-NUMA virtual machines via reinforcement learning
* Learning to Score Figure Skating Sport Videos
* Learning to Score Olympic Events
* Learning to Search for and Detect Objects in Foveal Images Using Deep Learning
* Learning to Search for Objects in Images from Human Gaze Sequences
* Learning to See by Moving
* Learning to See in Nighttime Driving Scenes with Inter-frequency Priors
* Learning to See in the Dark with Events
* Learning to See in the Dark
* Learning to See Moving Objects in the Dark
* Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation
* Learning to See Through Obstructions With Layered Decomposition
* Learning to See Through Obstructions
* Learning to See Through Turbulent Water
* Learning to See Through with Events
* Learning to See
* Learning to Segment 3D Point Clouds in 2D Image Space
* Learning to Segment a Video to Clips Based on Scene and Camera Motion
* Learning to Segment Actions from Visual and Language Instructions via Differentiable Weak Sequence Alignment
* Learning to Segment Affordances
* Learning to Segment Breast Biopsy Whole Slide Images
* Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection
* Learning to segment dense cell nuclei with shape prior
* Learning to Segment Dominant Object Motion from Watching Videos
* Learning to Segment Dynamic Objects using SLAM Outliers
* Learning to Segment Every Referring Object Point by Point
* Learning to Segment Every Thing
* Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates
* Learning to Segment Human by Watching YouTube
* Learning to Segment Humans by Stacking Their Body Parts
* Learning to segment images using region-based perceptual features
* Learning to segment moving objects in videos
* Learning to Segment Moving Objects
* Learning to Segment Object Candidates via Recursive Neural Networks
* Learning to segment on tiny datasets: A new shape model
* Learning to Segment Rigid Motions from Two Frames
* Learning to Segment the Tail
* Learning to segment under various forms of weak supervision
* Learning to segment using machine-learned penalized logistic models
* Learning to Segment via Cut-and-Paste
* Learning to Segment Video Object With Accurate Boundaries
* Learning to segment with image-level annotations
* Learning to Segment With Image-Level Supervision
* Learning to Segment
* Learning to Select and Order Vacation Photographs
* Learning to Select Base Classes for Few-Shot Classification
* Learning to select cuts for efficient mixed-integer programming
* Learning to Select Long-Track Features for Structure-From-Motion and Visual SLAM
* Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework
* Learning to Select Useful Landmarks
* Learning to Semantically Segment High-Resolution Remote Sensing Images
* Learning to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization
* Learning to Separate Multiple Illuminants in a Single Image
* Learning to Separate Object Sounds by Watching Unlabeled Video
* Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes
* Learning to Shadow Hand-Drawn Sketches
* Learning to Share Latent Tasks for Action Recognition
* Learning to share visual appearance for multiclass object detection
* Learning to Simulate Complex Scenes for Street Scene Segmentation
* Learning to Simulate Dynamic Environments With GameGAN
* Learning to Sketch with Shortcut Cycle Consistency
* Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming
* Learning to Solve Hard Minimal Problems
* Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning
* Learning to Solve Nonlinear Least Squares for Monocular Stereo
* Learning to Sort Handwritten Text Lines in Reading Order through Estimated Binary Order Relations
* Learning to Structure an Image With Few Colors
* Learning to Stylize Novel Views
* Learning to summarize web image and text mutually
* Learning to Super-Resolve Blurry Face and Text Images
* Learning to Super-Resolve Blurry Images With Events
* Learning to Super Resolve Intensity Images From Events
* Learning to Synthesize a 4D RGBD Light Field from a Single Image
* Learning to Synthesize Motion Blur
* Learning to Take Directions One Step at a Time
* Learning to teach and learn for semi-supervised few-shot image classification
* Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift
* Learning to Track Aircraft in Infrared Imagery
* Learning to Track and Identify Players from Broadcast Sports Videos
* Learning to Track at 100 FPS with Deep Regression Networks
* Learning to Track for Spatio-Temporal Action Localization
* Learning to Track Instances without Video Annotations
* Learning to Track Objects from Unlabeled Videos
* Learning to Track Objects Through Unobserved Regions
* Learning to Track the Visual-Motion of Contours
* Learning to track with multiple observers
* Learning to Track with Object Permanence
* Learning to Track: Conceptual Manifold Map for Closed-Form Tracking
* Learning to Track: Online Multi-object Tracking by Decision Making
* Learning to Train a Point Cloud Reconstruction Network Without Matching
* Learning to Train with Synthetic Humans
* Learning to Transfer Examples for Partial Domain Adaptation
* Learning to transfer focus of graph neural network for scene graph parsing
* Learning to Transfer Learn: Reinforcement Learning-based Selection for Adaptive Transfer Learning
* Learning to transfer microscopy image modalities
* Learning to Transfer Texture From Clothing Images to 3D Humans
* Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection
* Learning to Transform for Generalizable Instance-wise Invariance
* Learning to Transform Time Series with a Few Examples
* Learning to Translate Between Real World and Simulated 3D Sensors While Transferring Task Models
* Learning to Translate for Cross-Source Remote Sensing Image Retrieval
* Learning to tune level set methods
* Learning To Understand Aerial Images
* Learning to Understand Image Blur
* Learning to Update for Object Tracking With Recurrent Meta-Learner
* Learning to Upsample by Learning to Sample
* Learning to Visualize Music Through Shot Sequence for Automatic Concert Video Mashup
* Learning to Walk on Low Friction Terrain by Reinforcement Learning
* Learning to Warp for Style Transfer
* Learning to Weight Color and Depth for RGB-D Visual Search
* Learning to Weight Filter Groups for Robust Classification
* Learning to Weight Samples for Dynamic Early-Exiting Networks
* Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation
* Learning to Zoom and Unzoom
* Learning to Zoom Inside Camera Imaging Pipeline
* Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks
* Learning top-down feature based attention control
* Learning Top-Down Grouping of Compositional Hierarchies for Recognition
* Learning top down scene context for visual attention modeling in natural images
* Learning Topic Models by Belief Propagation
* Learning Topics Using Semantic Locality
* Learning Topological Interactions for Multi-Class Medical Image Segmentation
* Learning Topology: Bridging Computational Topology and Machine Learning
* Learning Torso Prior for Co-Speech Gesture Generation with Better Hand Shape
* Learning Traces by Yourself: Blind Image Forgery Localization via Anomaly Detection With ViT-VAE
* Learning Tracking Representations via Dual-Branch Fully Transformer Networks
* Learning Traffic Network Embeddings for Predicting Congestion Propagation
* Learning Traffic Patterns at Small Airports From Flight Tracks
* Learning Trailer Moments in Full-length Movies with Co-contrastive Attention
* Learning Training Samples for Occlusion Edge Detection and Its Application in Depth Ordering Inference
* Learning Trajectory-Aware Transformer for Video Super-Resolution
* Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior
* Learning Trajectory-Word Alignments for Video-Language Tasks
* Learning Trajectory Dependencies for Human Motion Prediction
* Learning trajectory patterns by clustering: Experimental studies and comparative evaluation
* Learning Trans-Dimensional Random Fields with Applications to Language Modeling
* Learning Transferable and Discriminative Representations for 2D Image-Based 3D Model Retrieval
* Learning Transferable Architectures for Scalable Image Recognition
* Learning transferable features in meta-learning for few-shot text classification
* Learning Transferable Human-Object Interaction Detector with Natural Language Supervision
* Learning Transferable Parameters for Unsupervised Domain Adaptation
* Learning Transferable Sparse Representations for Cross-Corpus Facial Expression Recognition
* Learning Transferable Spatiotemporal Representations from Natural Script Knowledge
* Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
* Learning Transformation-Invariant Local Descriptors With Low-Coupling Binary Codes
* Learning Transformation-Predictive Representations for Detection and Description of Local Features
* Learning Transformation Synchronization
* Learning Transformations to Reduce the Geometric Shift in Object Detection
* Learning Transformations
* Learning transformer-based attention region with multiple scales for occluded person re-identification
* Learning Transparent Object Matting
* Learning Traversability From Point Clouds in Challenging Scenarios
* Learning tree-structured approximations for conditional random fields
* Learning Tree-structured Quantizers for Image Categorization
* Learning Triadic Belief Dynamics in Nonverbal Communication from Videos
* Learning tubes
* Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT
* Learning Two-Branch Neural Networks for Image-Text Matching Tasks
* Learning Two-View Correspondences and Geometry Using Order-Aware Network
* Learning Two-View Stereo Matching
* Learning Type-2 Fuzzy Logic for Factor Graph Based-Robust Pose Estimation With Multi-Sensor Fusion
* Learning Type-Aware Embeddings for Fashion Compatibility
* Learning typographic style: from discrimination to synthesis
* Learning unbiased classifiers from biased data with meta-learning
* Learning Unbiased Representations via Mutual Information Backpropagation
* Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling
* Learning Unbiased Zero-Shot Semantic Segmentation Networks Via Transductive Transfer
* Learning Uncertain Convolutional Features for Accurate Saliency Detection
* Learning Uncertainty for Safety-Oriented Semantic Segmentation in Autonomous Driving
* Learning Uncoupled-Modulation CVAE for 3D Action-Conditioned Human Motion Synthesis
* Learning Under a VEDIC Teacher
* Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis
* Learning Unified Embedding for Apparel Recognition
* Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor Segmentation With Missing Modalities
* Learning unified sparse representations for multi-modal data
* Learning universal multi-view age estimator using video context
* Learning universal multiview dictionary for human action recognition
* Learning Universal Semantic Correspondences with No Supervision and Automatic Data Curation
* Learning Unrolling-Based Neural Network for Magnetic Resonance Imaging Reconstruction
* Learning Unseen Concepts via Hierarchical Decomposition and Composition
* Learning Unsupervised and Supervised Representations via General Covariance
* Learning Unsupervised Face Normalization Through Frontal View Reconstruction
* Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image
* Learning Unsupervised Metaformer for Anomaly Detection
* Learning Unsupervised Video Object Segmentation Through Visual Attention
* Learning upper patch attention using dual-branch training strategy for masked face recognition
* Learning urban region representations with POIs and hierarchical graph infomax
* Learning User's Confidence for Active Learning
* Learning user-specific parameters in a multibiometric system
* Learning user preference in a personalized CBIR system
* Learning User Representations for Open Vocabulary Image Hashtag Prediction
* Learning Users Inner Thoughts and Emotion Changes for Social Media Based Suicide Risk Detection
* Learning using distance based training algorithm for pattern recognition
* Learning Using Privileged Information for Zero-shot Action Recognition
* Learning VAE with Categorical Labels for Generating Conditional Handwritten Characters
* Learning Variability of Image Feature Appearance Using Statistical Methods
* Learning Variable-Length Markov Models of Behavior
* Learning variable-length representation of words
* Learning Variance Kernelized Correlation Filters for Robust Visual Object Tracking
* Learning varying dimension radial basis functions for deformable image alignment
* Learning vector quantization for variable ordering in constraint satisfaction problems
* Learning Vector Quantization with Adaptive Cost-Based Outlier-Rejection
* Learning vector quantization with alternative distance criteria
* Learning vector quantization with local subspace classifier
* Learning Vector Quantization with Training Data Selection
* Learning Versatile 3D Shape Generation with Improved Auto-regressive Models
* Learning Versatile Convolution Filters for Efficient Visual Recognition
* Learning Video-independent Eye Contact Segmentation from In-the-wild Videos
* Learning Video-Story Composition via Recurrent Neural Network
* Learning Video Actions in Two Stream Recurrent Neural Network
* Learning Video Features for Multi-label Classification
* Learning Video Manifold for Segmenting Crowd Events and Abnormality Detection
* Learning Video Moment Retrieval Without a Single Annotated Video
* Learning Video Object Segmentation from Static Images
* Learning Video Object Segmentation From Unlabeled Videos
* Learning Video Object Segmentation with Visual Memory
* Learning Video Preferences Using Visual Features and Closed Captions
* Learning video processing by example
* Learning Video Representations From Correspondence Proposals
* Learning Video Representations from Large Language Models
* Learning Video Representations of Human Motion from Synthetic Data
* Learning Video Retrieval Models with Relevance-Aware Online Mining
* Learning Video Saliency from Human Gaze Using Candidate Selection
* Learning Video Stabilization Using Optical Flow
* Learning View-Based Graph Convolutional Network for Multi-View 3D Shape Analysis
* Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization
* Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras
* Learning view-invariant features using stacked autoencoder for skeleton-based gait recognition
* Learning View-Invariant Sparse Representations for Cross-View Action Recognition
* Learning View-Model Joint Relevance for 3D Object Retrieval
* Learning View-Specific Deep Networks for Person Re-Identification
* Learning View Priors for Single-View 3D Reconstruction
* Learning View Selection for 3D Scenes
* Learning Viewpoint Invariant Perceptual Representations from Cluttered Images
* Learning Virtual HD Model for Bi-model Emotional Speaker Recognition
* Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting
* Learning Visibility for Robust Dense Human Body Estimation
* Learning Vision-and-Language Navigation from YouTube Videos
* Learning Vision System for 2D Object Recognition, A
* Learning Visual-Spatial Saliency for Multiple-Shot Person Re-Identification
* Learning visual and textual representations for multimodal matching and classification
* Learning Visual Attention to Identify People with Autism Spectrum Disorder
* Learning Visual Behavior for Gesture Analysis
* Learning visual categories through a sparse representation classifier based cross-category knowledge transfer
* Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences
* Learning Visual Commonsense for Robust Scene Graph Generation
* Learning Visual Compound Models from Parallel Image-Text Datasets
* Learning Visual Concepts for Content Based Retrieval
* Learning Visual Context by Comparison
* Learning Visual Contexts for Image Annotation From Flickr Groups
* Learning visual dictionaries and decision lists for object recognition
* Learning Visual Dictionaries from Class-Specific Superpixel Segmentation
* Learning Visual Emotion Representations From Web Data
* Learning Visual Engagement for Trauma Recovery
* Learning Visual Explanations for DCNN-based Image Classifiers Using an Attention Mechanism
* Learning visual features for relational CBIR
* Learning Visual Features from Large Weakly Supervised Data
* Learning visual flows: A Lie algebraic approach
* Learning Visual Free Space Detection for Deep-diving Robots
* Learning Visual Ideals
* Learning Visual Instance Retrieval from Failure: Efficient Online Local Metric Adaptation from Negative Samples
* Learning Visual Knowledge Memory Networks for Visual Question Answering
* Learning Visual Landmarks for Localization with Minimal Supervision
* Learning Visual Landmarks for Pose Estimation
* Learning Visual Models for Lipreading
* Learning Visual Models from Shape Contours Using Multiscale Convex/Concave Structure Matching
* Learning visual models of semantic concepts
* Learning Visual Motion Segmentation Using Event Surfaces
* Learning Visual N-Grams from Web Data
* Learning visual operators from examples: a new paradigm in image processing
* Learning Visual Quality Inspection from Multiple Humans Using Ensembles of Classifiers
* Learning Visual Question Answering by Bootstrapping Hard Attention
* Learning visual question answering on controlled semantic noisy labels
* Learning Visual Recognition With Bayesian Networks
* Learning Visual Relationship and Context-Aware Attention for Image Captioning
* Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training
* Learning Visual Representations using Images with Captions
* Learning Visual Representations via Language-Guided Sampling
* Learning Visual Representations with Caption Annotations
* Learning visual saliency using topographic independent component analysis
* Learning Visual Shape Lexicon for Document Image Content Recognition
* Learning Visual Similarity Measures for Comparing Never Seen Objects
* Learning Visual Speech
* Learning Visual Storylines with Skipping Recurrent Neural Networks
* Learning Visual Styles from Audio-Visual Associations
* Learning visual variation for object recognition
* Learning Visual Voice Activity Detection with an Automatically Annotated Dataset
* Learning Visually Aligned Semantic Graph for Cross-Modal Manifold Matching
* Learning Visually Consistent Label Embeddings for Zero-Shot Learning
* Learning Vocabularies over a Fine Quantization
* Learning Warped Guidance for Blind Face Restoration
* Learning Wasserstein Isometric Embedding for Point Clouds
* Learning Watershed Cuts Energy Functions
* Learning Wavefront Coding for Extended Depth of Field Imaging
* Learning Weak Semantics by Feature Graph for Attribute-Based Person Search
* Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions
* Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification
* Learning weighted distances for relevance feedback in image retrieval
* Learning weighted features for human action recognition
* Learning weighted geometric pooling for image classification
* Learning weighted hashing on local structured data
* Learning Weighted Lower Linear Envelope Potentials in Binary Markov Random Fields
* Learning Weighted Metrics to Minimize Nearest-Neighbor Classification Error
* Learning weighted part models for object tracking
* Learning weighted similarity measurements for unconstrained face recognition
* Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders
* Learning weights for codebook in image classification and retrieval
* Learning What and How of Contextual Models for Scene Labeling
* Learning What and Where from Attributes to Improve Person Re-Identification
* Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision
* Learning What Matters: Combining Probabilistic Models of 2D and 3D Saliency Cues
* Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
* Learning What to Learn for Video Object Segmentation
* Learning When and Where to Zoom With Deep Reinforcement Learning
* Learning Where to Classify in Multi-view Semantic Segmentation
* Learning Where to Cut from Edited Videos
* Learning Where to Drive by Watching Others
* Learning Where to Focus for Efficient Video Object Detection
* Learning Where to Learn in Cross-View Self-Supervised Learning
* Learning Where to Look: Generative NAS is Surprisingly Efficient
* Learning Where to Position Parts in 3D
* Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring
* Learning Whole Heart Mesh Generation From Patient Images for Computational Simulations
* Learning with A Generative Adversarial Network From a Positive Unlabeled Dataset for Image Classification
* Learning with a mutualistic teacher
* Learning with Adaptive Rate for Online Detection of Unusual Appearance
* Learning with Ambiguous Label Distribution for Apparent Age Estimation
* Learning with an unreliable teacher
* Learning With Asymmetric Kernels: Least Squares and Feature Interpretation
* Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation
* Learning With Average Precision: Training Image Retrieval With a Listwise Loss
* Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition
* Learning with Biased Complementary Labels
* Learning with Box Kernels
* Learning with Cascade for Classification of Non-Convex Manifolds
* Learning With Confidence the Likelihood of Flight Diversion Due to Adverse Weather at Destination
* Learning with Constrained and Unlabelled Data
* Learning With Context Feedback Loop for Robust Medical Image Segmentation
* Learning with dataset bias in latent subcategory models
* Learning with Delayed Feedback
* Learning with Distance Substitution Kernels
* Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning
* Learning with dynamic group sparsity
* Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
* Learning with Few Examples by Transferring Feature Relevance
* Learning with few examples for binary and multiclass classification using regularization of randomized trees
* Learning with Free Object Segments for Long-Tailed Instance Segmentation
* Learning with Hidden Information Using a Max-Margin Latent Variable Model
* Learning with Hidden Information
* Learning with Hierarchical-Deep Models
* Learning with imperfectly labeled patterns
* Learning with incomplete labels of multisource datasets for ECG classification
* Learning With L1-Graph for Image Analysis
* Learning with Label Noise for Image Retrieval by Selecting Interactions
* Learning with Latent Label Hierarchy from Incomplete Multi-Label Data
* Learning With Learned Loss Function: Speech Enhancement With Quality-Net to Improve Perceptual Evaluation of Speech Quality
* Learning With Limited Labelled Data for Image and Video Understanding
* Learning with Memory-based Virtual Classes for Deep Metric Learning
* Learning With Memory for Few-Shot Semantic Segmentation
* Learning with Minimal Effort: Leveraging in Silico Labeling for Cell and Nucleus Segmentation
* Learning with Missing or Incomplete Data
* Learning With Multiclass AUC: Theory and Algorithms
* Learning with Multiplicative Perturbations
* Learning with Neighbor Consistency for Noisy Labels
* Learning With Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision
* Learning with Noisy Class Labels for Instance Segmentation
* Learning with Noisy Data for Semi-Supervised 3D Object Detection
* Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
* Learning with Noisy Labels for Robust Point Cloud Segmentation
* Learning with Noisy labels via Self-supervised Adversarial Noisy Masking
* Learning with Noisy Labels via Sparse Regularization
* Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures
* Learning With Privacy in Consensus + Obfuscation
* Learning with Privileged Information for Efficient Image Super-resolution
* Learning with privileged information for multi-Label classification
* Learning with Privileged Information via Adversarial Discriminative Modality Distillation
* Learning With Privileged Multimodal Knowledge for Unimodal Segmentation
* Learning with Privileged Tasks
* Learning with probabilistic labeling
* Learning with progressive transductive support vector machine
* Learning with Recoverable Forgetting
* Learning with relevant features and examples
* Learning with rethinking: Recurrently improving convolutional neural networks through feedback
* Learning with Side Information through Modality Hallucination
* Learning with the Optimized Data-Dependent Kernel
* Learning with transductive SVM for semisupervised pixel classification of remote sensing imagery
* Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification
* Learning With Unsure Data for Medical Image Diagnosis
* Learning Without Forgetting
* Learning without Human Scores for Blind Image Quality Assessment
* Learning Without Memorizing
* Learning without prejudice: Avoiding bias in webly-supervised action recognition
* Learning Word and Sentence Embeddings Using a Generative Convolutional Network
* Learning Words by Drawing Images
* Learning Wormholes for Sparsely Labelled Clustering
* Learning zeroth class dictionary for human action recognition
* Learning, detection and representation of multi-agent events in videos
* Learning, General Non-Vision Learning Issues
* Learning, General Surveys, Overviews
* Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video
* Learning, Neural Nets for Coding, Compression in Video
* Learning, Neural Nets for Human Detection, People Detection, Pedestrians
* Learning, Neural Networks for Single Image Super Resolution
* Learning, Recognition and Navigation from a Sequence of Infrared Images
* Learnt combination in object detector ensembles
* Learnt Contrastive Concept Embeddings for Sign Recognition
* Learnt Deep Hyperparameter Selection in Adversarial Training for Compressed Video Enhancement with a Perceptual Critic
* Learnt Quasi-Transitive Similarity for Retrieval from Large Collections of Faces
* Least-asymmetric signal extension for two-band paraunitary FIR filter banks
* Least-commitment graph matching with genetic algorithms
* Least-Squares-Based 2-D Filtering Scheme for Stereo Image Compression, A
* Least-Squares-Based 2D Filtering for Disparity Estimation, A
* Least-squares-based fitting of paraboloids
* Least-Squares-Filter Vector Hybrid Approach to Hyperspectral Subpixel Demixing
* Least-squares 3D reconstruction from one or more views and geometric clues
* least-squares approach to anomaly detection in static and sequential data, A
* Least-Squares Approximation by Pythagorean Hodograph Spline Curves Via an Evolution Process
* Least-Squares Based Switched Adaptive Predictors for Lossless Video Coding
* Least-squares congealing for large numbers of images
* Least-Squares Contour Alignment
* Least-Squares Directional Intra Prediction in H.264/AVC
* Least-Squares Error for Structure from Infinitesimal Motion, The
* Least-squares estimation of anisotropic similarity transformations from corresponding 2D point sets
* Least-Squares Estimation of Transformation Parameters Between Two Point Patterns
* Least-Squares Fitting of Two 3-D Point Sets
* Least-squares font metric estimation from images
* Least-Squares Framework for Component Analysis, A
* Least-Squares Gaussian Beam Transform for Deblending Distance-Separated Simultaneous Sources
* Least-Squares Gaussian Beam Transform for Seismic Noise Attenuation
* Least-squares image resizing using finite differences
* Least-squares interband denoising of color and multispectral images
* Least-Squares Luma-Chroma Demultiplexing Algorithm for Bayer Demosaicking
* Least-squares Matching with Advanced Geometric Transformation Models
* Least-squares mesh model for image compression
* Least-Squares Model-Based Halftoning
* Least-squares orthogonal distances fitting of circle, sphere, ellipse, hyperbola, and parabola
* Least-squares registration of point sets over SE(d) using closed-form projections
* Least-Squares Regression with Unitary Constraints for Network Behaviour Classification
* Least-Squares Reverse-Time Migration of Water-Bottom-Related Multiples
* Least-squares smoothing of 3D digital curves
* Least-Squares Solution of Absolute Orientation with Non-Scalar Weights
* Least-squares spline resampling to a hexagonal lattice
* Least-Squares Transformations between Point-Sets
* Least-Squares Unified View of PCA, LDA, CCA and Spectral Graph Methods, A
* Least Absolute Deviation (LAD) Image Matching
* Least Angle Regression-Based Constrained Sparse Unmixing of Hyperspectral Remote Sensing Imagery
* Least Biased Fuzzy Clustering Method, A
* Least Commitment Graph Matching by Evolutionary Optimisation
* Least Commitment, Viewpoint-Based, Multi-view Stereo
* Least Committed Splines in 3D Modelling of Free Form Objects from Intensity Images
* Least desirable feature elimination in a general pattern recognition problem
* Least Distortion Halftone Image Data Hiding Watermarking by Optimizing an Iterative Linear Gain Control Model
* Least Disturbance Principle amd Weak Constraints, The
* Least Median of Squares Based Robust Analysis of Image Structure
* Least Median of Squares Regression
* Least MSE Regression for View Synthesis
* Least Soft-Threshold Squares Tracking
* Least Square Adjustment for Estimating the Tropical Peat Depth Using LiDAR Data, The
* Least Square Error Estimation of the Center and Radii of Concentric Arcs, A
* Least Square for Grassmann-Cayley Agelbra in Homogeneous Coordinates
* Least square geometric iterative fitting method for generalized B-spline curves with two different kinds of weights
* least square kernel machine with box constraints, A
* Least Square Matching Model AMMGC-LSM for Multi-line-array Digital Images
* Least Squared Relative Error Estimator for RSS Based Localization With Unknown Transmit Power
* Least Squares-Based Filter for Remote Sensing Image Noise Reduction
* Least Squares-Based Method for Adjusting the Boundaries of Area Objects, A
* Least squares 3D surface and curve matching
* Least Squares Adjustment of Multi-temporal InSAR Data: Application to the Ground Deformation of Paris, A
* Least Squares and Robust Estimation of Local Image Structure
* Least Squares Applied to Restoration
* Least squares approach for predictive coding of 3-D images
* Least squares binary quantization of neural networks
* Least Squares Collocation Method for Accuracy Improvement of Mobile LiDAR Systems, A
* Least Squares Compactly Supported Radial Basis Function for Digital Terrain Model Interpolation from Airborne Lidar Point Clouds
* Least squares congealing for unsupervised alignment of images
* least squares database approach for SAR interferometric data, A
* Least squares estimation-based adaptive observation model for aerial visual tracking applications
* Least Squares Estimation of 3D Shape and Motion of Rigid Objects from Their Orthographic Projections
* Least Squares Fitting-Based Modeling of Gene Regulatory Sub-networks, A
* Least Squares Fitting Articulated Objects
* Least Squares Fitting of Circles
* Least squares generalized B-spline signal and image processing
* Least Squares Generative Adversarial Networks
* Least Squares Image Estimation for Large Data in the Presence of Noise and Irregular Sampling
* Least Squares Image Restoration Using Spline Basis Functions
* Least squares image texture analysis and synthesis
* Least Squares Matching for Three Dimensional Building Reconstruction
* Least Squares Matching with Airborne LIDAR Data for Strip Adjustment
* Least squares motion estimation algorithm in the compressed DCT domain for H.26x / MPEG-X video sequences
* Least squares one-class support vector machine
* Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space
* Least squares phase unwrapping in wavelet domain
* Least Squares Quantization in PCM
* least squares regression framework on manifolds and its application to gesture recognition, A
* Least squares rigid body fitting of point-sets with unknown correspondences
* Least Squares Solution for Camera Distortion Parameters, A
* Least Squares Solution to Regionalize VTEC Estimates for Positioning Applications, A
* Least Squares Sub-pixel Registration Refinement Using Area Sampler Model
* Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, Tikhonov, and constrained regularization
* Least squares surface reconstruction from measured gradient fields
* Least Squares Surface Reconstruction on Arbitrary Domains
* Least Squares Time-Series Synchronization in Image Acquisition Systems
* Least squares twin bounded support vector machines based on L1-norm distance metric for classification
* Least squares twin multi-class classification support vector machine
* least upper bound for the average classification accuracy of multiple observers, A
* Leather Inspection Based on Wavelets
* Leather Inspection by Oriented Texture Analysis with a Morphological Approach
* Leather inspection through singularities detection using wavelet transforms
* Leave-One-Out-Training and Leave-One-Out-Testing Hidden Markov Models for a Handwritten Numeral Recognizer: The Implications of a Single Classifier and Multiple Classifications
* Leave-One-Out Kernel Optimization for Shadow Detection and Removal
* Leave-One-Out Kernel Optimization for Shadow Detection
* Leave-One-Out Procedures for Nonparametric Error Estimates
* Leave one support vector out cross validation for fast estimation of generalization errors
* Leaves Segmentation in 3D Point Cloud
* Leaves Shape Classification Using Curvature and Fractal Dimension
* Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video
* Lebesgue anisotropic image denoising
* LECARM: Low-Light Image Enhancement Using the Camera Response Model
* Lecture Notes in Computer Science
* Lecture Presentations Multimodal Dataset: Towards Understanding Multimodality in Educational Videos
* Lecture Video Enhancement and Editing by Integrating Posture, Gesture, and Text
* LED-Based Photometric Stereo: Modeling, Calibration and Numerical Solution
* LED-only BRDF measurement device, An
* LED-powered mini-lidar for martian atmospheric dust studies
* LED Backlight Adjustment for Backward-Compatible Stereoscopic Display
* LED Cosmetic Flaw Inspection System
* LED location beacon system based on processing of digital images
* LED: Localization-Quality Estimation Embedded Detector
* LED2-Net: Monocular 360° Layout Estimation via Differentiable Depth Rendering
* Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces
* Lednet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
* LEDNet: Joint Low-Light Enhancement and Deblurring in the Dark
* LEDTD: Local edge direction and texture descriptor for face recognition
* LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-driving Mode
* LEED: Label-free Expression Editing via Disentanglement
* Leeds University
* Left-Invariant Diffusions on the Space of Positions and Orientations and their Application to Crossing-Preserving Smoothing of HARDI images
* Left-Invariant Riemannian Geodesics on Spatial Transformation Groups
* Left-Luggage Detection from Finite-State-Machine Analysis in Static-Camera Videos
* Left-Luggage Detection using Bayesian Inference
* Left-Right Comparative Recurrent Model for Stereo Matching
* Left-Ventricular Shape Determines Intramyocardial Stroke Work Distribution
* Left and Right Atrial Contribution to the P-wave in Realistic Computational Models
* Left Atrial Segmentation from 3D Respiratory- and ECG-gated Magnetic Resonance Angiography
* Left Ventricle Longitudinal Axis Fitting and its Apex Estimation Using A Robust Algorithm and its Performance: A Parametric Apex Model
* Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks
* Left Ventricle Segmentation from Heart MDCT
* Left Ventricle Wall Detection from Ultrasound Images Using Shape and Appearance Information
* Left Ventricular Deformation Recovery From Cine MRI Using an Incompressible Model
* Left ventricular motion reconstruction based on elastic vector splines
* Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation
* Left Ventricular Shape and Motion Reconstruction Through a Healthy Model for Characterizing Remodeling After Infarction
* Left ventricular volume estimation for real-time three-dimensional echocardiography
* Left/right hand segmentation in egocentric videos
* Legacy Photo Editing with Learned Noise Prior
* Legal amount recognition based on the segmentation hypotheses for bank check processing
* Legal and Ethical Challenges in Multimedia Research
* LEGAN: Disentangled Manipulation of Directional Lighting and Facial Expressions whilst Leveraging Human Perceptual Judgements
* LEGClust: A Clustering Algorithm Based on Layered Entropic Subgraphs
* Legend-Driven Geographic Symbol Recognition System, A
* Legend Based Elevation Layers Extraction from a Color-Coded Relief Scanned Map
* Legendre Based Adaptive Image Segmentation Combining The Gradient Information
* Legendre descriptors for classification of polygonal closed curves
* Legendre polynomials based feature extraction for online signature verification. Consistency analysis of feature combinations
* Legged Locomotion Robots, Assistants
* Legibility and Permeability of Cities: Examining the Role of Spatial Data and Metrics, The
* Legibility of perceptually-tuned grayscale fonts
* LEGION-Based Automatic Road Extraction From Satellite Imagery
* Legion Sementation For Building Extraction From Lidar Based Dsm Data
* Legitimate Surveillance via Jamming in Multichannel Relaying System
* LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia
* LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
* LEGO: Learning Edge with Geometry all at Once by Watching Videos
* Legume Identification by Leaf Vein Images Classification
* Lehman College of CUNY
* Leica DMC III Calibration and Geometric Sensor Accuracy
* Leica GeoSystems HDS
* Leica GeoSystems, Geospatial Imaging
* Leiden Augmented Reality System (LARS), The
* Leishmaniasis Parasite Segmentation and Classification Using Deep Learning
* LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization
* Lemma: A Multi-view Dataset for Learning Multi-agent Multi-task Activities
* LEMMS: Label Estimation of Multi-feature Movie Segments
* Lemon-YOLO: An efficient object detection method for lemons in the natural environment
* Lend Me a Hand: Auxiliary Image Data Helps Interaction Detection
* Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions
* Lending A Helping Hand: Using Remote Sensing to Support the Response and Recovery Operations at the World Trade Center
* Lending Orientation to Neural Networks for Cross-View Geo-Localization
* Length-controllable Image Captioning
* Length-independent refinement of video quality metrics based on multiway data analysis
* Length-sensitive Language-bound Recognition Network for Multilingual Text Recognition, A
* Length-speed ratio (LSR) as a characteristic for moving elements real-time classification
* Length-weighted string kernels for sequence data classification
* Length Determination of DNA Fragments in Atomic Force Microscope Images
* Length Estimation for Curves with Non-Uniform Sampling
* Length Estimation for Exponential Parameterization and epsilon-Uniform Samplings
* Length Estimation for the Adjusted Exponential Parameterization
* Length Estimation in 3-D Using Cube Quantization
* Length Estimation of Digit Strings Using a Neural Network with Structure Based Features
* Length Estimators for Digitized Contours
* Length Increasing Active Contour for the Segmentation of Small Blood Vessels
* Length Normalization in Degraded Text Collections
* Length of Growing Period over Africa: Variability and Trends from 30 Years of NDVI Time Series
* Length of Stay Prediction for Northern Italy Covid-19 Patients Based on Lab Tests and X-ray Data
* Length Prediction of Moving Vehicles Using a Commercial FMCW Radar
* Length, Area And Volume Computation In Homogeneous Coordinates
* Lennard-Jones force field for Geometric Active Contour
* Lens-Based Depth Estimation for Multi-focus Plenoptic Cameras
* Lens-Loaded Coded Aperture with Increased Information Capacity for Computational Microwave Imaging
* Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report
* lens collar auto-inspection system, A
* Lens Distortion Calibration Using Point Correspondences
* Lens distortion correction by analysing peak shape in Hough transform space
* Lens distortion correction with a calibration harp
* Lens Distortion for Close-Range Photogrammetry
* Lens Distortion Recovery for Accurate Sequential Structure and Motion Recovery
* Lens Distortion Rectification Using Triangulation Based Interpolation
* Lens flare prediction based on measurements with real-time visualization
* Lens inclination due to instable fixings detected and verified with VDI/VDE 2634 Part 1
* Lens Model Selection for Visual Tracking
* Lens Parameter Estimation for Realistic Depth of Field Modeling
* Lens system for panoramic imagery
* LensCast: Robust Wireless Video Transmission Over MmWave MIMO With Lens Antenna Array
* Lenselet image compression scheme based on subaperture images streaming
* Lensless coherent imaging by a deterministic phase retrieval method with an aperture-array filter
* Lensless imaging by compressive sensing
* Lensless Imaging with a Controllable Aperture
* Lensless Imaging with Focusing Sparse Ura Masks in Long-wave Infrared and Its Application for Human Detection
* Lensless Imaging: A computational renaissance
* Lensless optical data embedding system using concealogram and cascaded digital Fresnel hologram
* Lensless X-Ray Nanoimaging: Revolutions and opportunities
* Lenslet image compression using adaptive macropixel prediction
* Lenslet Light Field Image Coding: Classifying, Reviewing and Evaluating
* Lenticular stereoscopic imaging and displaying techniques with no special glasses
* LEO-Based Satellite Constellation for Moving Target Detection
* LEO-Constellation-Augmented BDS Precise Orbit Determination Considering Spaceborne Observational Errors
* LEO Constellation-Augmented Multi-GNSS for 3D Water Vapor Tomography
* LEO Onboard Real-Time Orbit Determination Using GPS/BDS Data with an Optimal Stochastic Model
* LEO Precise Orbit Determination with Inter-satellite Links
* LEO Satellite Clock Modeling and Its Benefits for LEO Kinematic POD
* LEO Satellite Downlink Distributed Jamming Optimization Method Using a Non-Dominated Sorting Genetic Algorithm
* LEO to GEO-SAR Interferences: Modelling and Performance Evaluation
* Lepard: Learning partial point cloud matching in rigid and deformable scenes
* Lepp Terminal Centroid Method for Quality Triangulation: A Study on a New Algorithm
* LERF: Language Embedded Radiance Fields
* LESC: Superpixel cut-based local expansion for accurate stereo matching
* Lesion-aware network for diabetic retinopathy diagnosis
* Lesion-Aware Transformers for Diabetic Retinopathy Grading
* Lesion-Based Chest Radiography Image Retrieval for Explainability in Pathology Detection
* Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale
* Lesion contrast enhancement in medical ultrasound imaging
* Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies
* Lesion Detection in Breast Ultrasound Images Using a Machine Learning Approach and Genetic Optimization
* Lesion Detection in Breast Ultrasound Images Using Tissue Transition Analysis
* Lesion Detection in Ct Images Using Deep Learning Semantic Segmentation Technique
* Lesion Detection in Dermatoscopic Images Using Anisotropic Diffusion and Morphological Flooding
* Lesion Detection in Dynamic FDG-PET Using Matched Subspace Detection
* Lesion Detection Using Morphological Watershed Segmentation and Modelbased Inverse Filtering
* Lesion detection using T1-weighted MRI: A new approach based on functional cortical ROIs
* Lesion Localization in Paediatric Epilepsy Using Patch-based Convolutional Neural Network
* Lesion Preserving Image Registration with Applications to Human Brains
* Lesion Segmentation in Dynamic Contrast Enhanced MRI of Breast
* Lesioned-Part Identification by Classifying Entire-Body Gait Motions
* Less-constrained Sclera Recognition Method based on Stem-and-leaf Branches Network, A
* Less-Visible Contrast Enhancement Based on Non-Linear Scaling Function and Singular Value Decomposition
* Less Can Be More: Sound Source Localization With a Classification Model
* Less is (Just as Good as) More: An Investigation of Odor Intensity and Hedonic Valence in Mulsemedia QoE using Heart Rate and Eye Tracking
* Less is Better: Exponential Loss for Cross-Modal Matching
* Less is more: A minimalist approach to robust GAN-generated face detection
* Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling
* Less Is More: Coded Computational Photography
* Less is More: Divexplore 5.0 at VBS 2021
* Less is More: Efficient 3-D Object Retrieval With Query View Selection
* Less is More: Focus Attention for Efficient DETR
* Less is More: Generating Grounded Navigation Instructions from Landmarks
* Less Is More: Learning Highlight Detection From Video Duration
* Less is more: Micro-expression recognition from video using apex frame
* Less Is More: Picking Informative Frames for Video Captioning
* Less is More: Proxy Datasets in NAS approaches
* Less is More: Pursuing the Visual Turing Test with the Kuleshov Effect
* Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
* Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation
* Less Is More: Similarity Models for Content-based Video Retrieval
* Less Is More: Surgical Phase Recognition From Timestamp Supervision
* Less Is More: Towards Compact CNNs
* Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations
* Less Is More: Video Trimming for Action Recognition
* Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression
* LESS LiDAR: A Full-Waveform and Discrete-Return Multispectral LiDAR Simulator Based on Ray Tracing Algorithm
* Less Than Few: Self-shot Video Instance Segmentation
* LESS: A Model-Based Classifier for Sparse Subspaces
* LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
* Lesson Learned On Monitoring Cultural Heritage At Risk Under Climate Changes: Strategy, Techniques and Results
* LessonAble: Leveraging Deep Fakes in MOOC Content Creation
* Lessons and Insights from Creating a Synthetic Optical Flow Benchmark
* Lessons for Sustainable Urban Development: Interplay of Construction, Groundwater Withdrawal, and Land Subsidence at Battersea, London
* Lessons for the Future from a Decade of Informedia Video Analysis Research
* Lessons from collecting a million biometric samples
* Lessons from the Primate Visual System
* Lessons Learned from the NOAA CoastWatch Ocean Satellite Course Developed for Integrating Oceanographic Satellite Data into Operational Use
* Lessons Learned While Implementing a Time-Series Approach to Forest Canopy Disturbance Detection in Nepal
* Lessons to learn from a mistaken optimization
* Let's be done with thresholds!
* Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving
* Let's keep in touch online: a Facebook aware virtual human interface
* Let's Play Music: Audio-Driven Performance Video Generation
* Let's See Clearly: Contaminant Artifact Removal for Moving Cameras
* Let's Share a Story: Socially Enhanced Multimedia Storytelling
* Let's Take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation
* Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation
* Let's Weave the Visual Web
* Let me tell you about your personality! -- Real-time personality prediction from nonverbal behavioural cues
* Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers
* Let the robot tell: Describe car image with natural language via LSTM
* Let the Shape Speak: Discriminative Face Alignment using Conjugate Priors
* Let Them Choose What They Want: A Multi-Task CNN Architecture Leveraging Mid-Level Deep Representations for Face Attribute Classification
* Let Them Fall Where They May: Capture Regions of Curved Objects and Polyhedra
* Let there be a clock on the beach: Reducing Object Hallucination in Image Captioning
* Let There Be Color! Large-Scale Texturing of 3D Reconstructions
* Let There Be Light: Improved Traffic Surveillance via Detail Preserving Night-to-Day Transfer
* Let There Be Light: Optoprobes for Neural Implants
* Let us Suppose a Liquid Optical Flow in Images: The Validity of Optical Flow Revisited
* Let Your Body Speak: Communicative Cue Extraction on Natural Interaction Using RGBD Data
* LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images
* LETRIST: Locally Encoded Transform Feature Histogram for Rotation-Invariant Texture Classification
* Letter-Level Online Writer Identification
* Letter-Level Writer Identification
* Letter-To-Sound conversion for speech synthesizer
* Letter Level Shape Description by Skeletonization in Faded Documents
* Letter to the editor
* Letter to the editor, Comment
* Letting Robocars See Around Corners: Using several bands of radar at once can give cars a kind of second sight
* leucocytes count system from blood smear images, A
* Leukocyte classifications by size functions
* Leukocyte image analysis in the diff3 system
* Leukocyte Pattern Recognition
* Leukocyte recognition in human fecal samples using texture features
* Leukocyte Segmentation in Blood Smear Images Using Region-Based Active Contours
* Levee crest elevation profiles derived from airborne lidar-based high resolution digital elevation models in south Louisiana
* Level-5 Autonomous Driving: Are We There Yet? A Review of Research Literature
* Level-base compounded logarithmic curve function for colour image enhancement
* Level-by-Level Adaptive Disparity Compensated Prediction in Wavelet Domain for Stereo Image Coding
* Level-Compressed Huffman Decoding
* level-map approach to transform coefficient coding, A
* Level-S2fM: Structure from Motion on Neural Level Set of Implicit Surfaces
* Level-set-based artery-vein separation in blood pool agent CE-MR angiograms
* Level-Set-Based Image Assimilation Method: Potential Applications for Predicting the Movement of Oil Spills, A
* Level-set-based motion estimation algorithm for multiple reference frame motion estimation
* level-set approach for tracking objects in image sequences using a level conservation constraint: Application to cardiac sequences, A
* Level-Set Approach to 3D Reconstruction from Range Data, A
* Level-Set Approach to Image Blending, A
* Level-Set Based Algorithm for Automatic Feature Extraction on 3D Meshes: Application to Crater Detection on Mars
* Level-set based geometric colour snake with region support
* Level-Set Based Infrared Image Segmentation for Automatic Veterinary Health Monitoring
* Level-set Based Tracking Approach for Surveillance Video with Fusion and Occlusion, A
* Level-Set Based Volumetric CT Segmentation Technique: A Case Study with Pulmonary Air Bubbles, A
* Level-set evolution with region competition: Automatic 3-D segmentation of brain tumors
* Level-set formulation based on Otsu method with morphological regularization
* Level-set image segmenation software
* level-set method for inhomogeneous image segmentation with application to breast thermography images, A
* Level-set person segmentation and tracking with multi-region appearance models and top-down shape information
* Level-Set Segmentation of Brain Tumors Using a New Hybrid Speed Function
* Level-set segmentation of brain tumors using a threshold-based speed function
* Level Building Dynamic Time Warping Algorithm for Connected Word Recognition, A
* Level C+ Data Reuse Scheme for Motion Estimation With Corresponding Coding Orders
* Level Compression-Based Image Representation and Its Applications
* Level Crossing Curvature and the Laplacian
* Level Curve Tracking Algorithm for Textural Feature Extraction
* Level embedded medical image compression based on value of interest
* Level Line Guided Interest Point Detection
* Level Line Selection Approach for Object Boundary Estimation, A
* Level Lines as Global Minimizers of Energy Functionals in Image Segmentation
* Level lines based disocclusion
* Level Lines Selection with Variational Models for Segmentation and Encoding
* Level lines shortening yields an image curvature microscope
* Level of Detail and Multi-Resolution Modeling for Virtual Prototyping
* Level of Detail in 3D Building Reconstruction from LIDAR Data
* Level of service classification for smart cameras
* Level Playing Field for Million Scale Face Recognition
* Level Ratio Based Inter and Intra Channel Prediction with Application to Stereo Audio Frame Loss Concealment
* Level Selection for Multiscale Fusion of Out-of-Focus Image
* Level Selector Network for Optimizing Accuracy-Specificity Trade-Offs
* Level Set-Based Bimodal Segmentation With Stationary Global Minimum
* Level Set-Based Fast Multi-phase Graph Partitioning Active Contours Using Constant Memory
* level set-based framework for 3D kidney segmentation from diffusion MR images, A
* level set-based global shape prior and its application to image segmentation, A
* Level Set Active Contours on Unstructured Point Cloud
* Level Set Algorithm for minimizing the Mumford-Shah functional in Image Processing, A
* Level Set Algorithm for Shape Reconstruction of Non-Overlapping Three-Dimensional Penetrable Targets
* Level Set Analysis for Leukocyte Detection and Tracking
* Level Set and Fast Marching Methods in Image Processing and Computer Vision
* Level Set Annotation Framework With Single-Point Supervision for Infrared Small Target Detection, A
* Level Set Approach for Computing Solutions to Incompressible Two-Phase Flow, A
* level set approach for shape-driven segmentation and tracking of the left ventricle, A
* Level Set Approach for Shape Recovery of Open Contours, A
* Level Set Approach to Image Segmentation With Intensity Inhomogeneity, A
* Level Set Approaches and Adaptive Asymmetrical SVMs Applied for Nonideal Iris Recognition
* Level Set Based Image Segmentation with Multiple Regions
* level set based method for coastline detection of SAR images, A
* Level Set Based Multispectral Segmentation with Corners
* Level Set Based Segmentation of Cell Nucleus in Fluorescence Microscopy Images Using Correntropy-Based K-Means Clustering
* Level Set Based Segmentation Using Local Feature Distribution
* Level set based shape prior and deep learning for image segmentation
* Level Set Based Shape Prior Segmentation
* Level Set Based Unified Framework for Pulmonary Nodule Segmentation, A
* Level Set Bridging Force for the Segmentation of Dendritic Spines, A
* Level Set Curve Evolution Partitioning of Polarimetric Images
* Level Set Curve Matching and Particle Image Velocimetry for Resolving Chemistry and Turbulence Interactions in Propagating Flames
* Level set estimation from compressive measurements using box constrained total variation regularization
* Level Set Estimation from Projection Measurements: Performance Guarantees and Fast Computation
* Level set evolution with locally linear classification for image segmentation
* Level set evolution with sparsity constraint for object extraction
* Level Set Evolution without Re-Initialization: A New Variational Formulation
* Level set formulation for automatic medical image segmentation based on fuzzy clustering
* Level Set Formulation for the Solution of the Dirichlet Problem for Hamilton-Jacobi Equations, A
* Level set framework based on local scalable Gaussian distribution and adaptive-scale operator for accurate image segmentation and correction
* level set framework using a new incremental, robust Active Shape Model for object segmentation and tracking, A
* Level set framework with transcendental constraint for robust and fast image segmentation
* Level Set Gait Analysis for Synthesis and Reconstruction
* Level Set Hyperspectral Image Classification Using Best Band Analysis
* level set image segmentation method based on a cloud model as the priori contour, A
* Level Set Mesher: Single-image to 3D reconstruction by following the level sets of the signed distance function
* level set method based on the Bayesian risk for medical image segmentation, A
* level set method for brain MR image segmentation under asymmetric distributions, A
* level set method for convexity preserving segmentation of cardiac left ventricle, A
* Level Set Method for Gland Segmentation, A
* Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI, A
* Level Set Method for Infrared Image Segmentation Using Global and Local Information, A
* Level set method for pulmonary vessels extraction
* level set method for the extraction of roads from multispectral imagery, A
* level set method for very high resolution airborne sar image segmentation, A
* Level set method with Retinex-corrected saliency embedded for image segmentation
* Level Set Methods and Dynamic Implicit Surfaces
* Level Set Methods and Fast Marching Methods
* Level Set Methods and the Stereo Problem
* Level Set Methods for Watershed Image Segmentation
* Level set methods in image science
* Level set methods, distance function and image segmentation
* Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision and Materials Science
* Level Set Model for Image Classification, A
* level set model without initial contour, A
* Level Set Models for Volumes
* Level Set Regularization Using Geometric Flows
* Level Set Segmentation Based on Local Gaussian Distribution Fitting
* Level Set Segmentation in Graphics Hardware
* Level Set Segmentation Method of the Four Heart Cavities in Pediatric Ultrasound Images, A
* Level Set Segmentation of Brain Matter Using a Trans-Roto-Scale Invariant High Dimensional Feature
* Level Set Segmentation of Cellular Images Based on Topological Dependence
* Level set segmentation of intensity inhomogeneous images based on local linear approximation of difference image
* Level Set Segmentation of Knee Bones Using Normal Profile Models
* Level Set Segmentation Using Statistical Shape Priors
* Level set segmentation with both shape and intensity priors
* Level Set Segmentation With Multiple Regions
* Level set segmentation with outlier rejection
* Level set segmentation with robust image gradient energy and statistical shape prior
* Level Set Segmentation with Shape and Appearance Models Using Affine Moment Descriptors
* Level Set Segmentation, Level Set Methods
* Level Set Stereo for Cooperative Grouping With Occlusion
* Level Set Theory for Neural Implicit Evolution Under Explicit Flows, A
* Level set tracking with dynamical shape priors
* Level Set Tree on Meshes, The
* Level Set with Embedded Conditional Random Fields and Shape Priors for Segmentation of Overlapping Objects
* Level Sets and Distance Functions
* Level Sets Guided by SoDEF-Fitting Energy for River Channel Detection in SAR Images
* Level Sets, Medical Image Segmentation
* Level Sets, Shape Models, Prior Shape Models
* Level Three Synthetic Fingerprint Generation
* Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers
* Levelings and Flat Zone Morphology
* Levelings and Geodesic Reconstructions
* Levelings in Vector Spaces
* Levelings, Image Simplification Filters for Segmentation
* Levellings based on spatially adaptive scale spaces using local image features
* Levels of Automation and Transparency: Interaction Design Considerations in Assistive Robots for Older Adults
* Levels of detail control based on correlation analysis between surface position and direction
* Levels of Details for Gaussian Mixture Models
* Levels of explainable artificial intelligence for human-aligned conversational explanations
* Levels of Knowledge for Object Extraction
* Levels of Pattern Description in Learning
* Levels of Representation in Cultural Feature Extraction
* Levelset and B-Spline Deformable Model Techniques for Image Segmentation: A Pragmatic Comparative Study
* Levelset R-CNN: A Deep Variational Method for Instance Segmentation
* Levelshred Method: A Solution to Fluid Level Detection in Partially-Obstructed Containers, The
* Levenberg-Marquardt nonlinear least squares algorithms in C/C++
* Levenshtein distance for graph spectral features
* Levenshtein OCR
* Lever-arm and boresight correction, and field of view determination of a spectroradiometer mounted on an unmanned aircraft system
* Leverage Interactive Affinity for Affordance Learning
* Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
* Leveraging 2D and 3D cues for fine-grained object classification
* Leveraging 2D Data to Learn Textured 3D Mesh Generation
* Leveraging 3D City Models for Rotation Invariant Place-of-Interest Recognition
* Leveraging a Virtual Environment to Prepare for School Shootings
* Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation
* Leveraging Acoustic Images for Effective Self-supervised Audio Representation Learning
* Leveraging Action Affinity and Continuity for Semi-supervised Temporal Action Segmentation
* Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure
* Leveraging Activity Indexing for Egocentric Image Retrieval
* Leveraging Adversarial Examples to Quantify Membership Information Leakage
* Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System
* Leveraging Affective Hashtags for Ranking Music Recommendations
* Leveraging appearance and geometry for kinship verification
* Leveraging archival video for building face datasets
* Leveraging attention-based visual clue extraction for image classification
* Leveraging auxiliary image descriptions for dense video captioning
* Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation
* Leveraging Batch Normalization for Vision Transformers
* Leveraging Big Data and Coordinated Charging for Effective Taxi Fleet Electrification: The 100% EV Conversion of Shenzhen, China
* Leveraging Blur Information for Plenoptic Camera Calibration
* Leveraging category-level labels for instance-level image retrieval
* Leveraging Class Hierarchy in Fashion Classification
* Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration
* Leveraging CNNs for Panoramic Image Matching Based on Improved Cube Projection Model
* Leveraging Cognitive Context for Object Recognition
* Leveraging colour segmentation for upper-body detection
* Leveraging combinatorial testing for safety-critical computer vision datasets
* Leveraging Commercial High-Resolution Multispectral Satellite and Multibeam Sonar Data to Estimate Bathymetry: The Case Study of the Caribbean Sea
* Leveraging Commonsense for Object Localisation in Partial Scenes
* Leveraging Container Technologies in a GIScience Project: A Perspective from Open Reproducible Research
* Leveraging Context to Support Automated Food Recognition in Restaurants
* Leveraging corporate context within knowledge-based document analysis and understanding
* Leveraging cost matrix structure for hardware implementation of stereo disparity computation using dynamic programming
* Leveraging Crowdsourced Data for Creating Temporal Segmentation Ground Truths of Subjective Tasks
* Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery
* Leveraging CycleGAN in Lung CT Sinogram-free Kernel Conversion
* Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network
* Leveraging Deep Convolutional Neural Network for Point Symbol Recognition in Scanned Topographic Maps
* Leveraging Deep Convolutional Neural Networks Pre-Trained on Autonomous Driving Data for Vehicle Detection from Roadside LiDAR Data
* Leveraging deep neural networks to fight child pornography in the age of social media
* Leveraging Deep Neural Networks to Map Caribou Lichen in High-Resolution Satellite Images Based on a Small-Scale, Noisy UAV-Derived Map
* Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks
* Leveraging Efficient Training and Feature Fusion in Transformers for Multimodal Classification
* Leveraging Electronic Ticketing to Provide Personalized Navigation in a Public Transport Network
* Leveraging Embedding Information to Create Video Capsule Endoscopy Datasets
* Leveraging Equivariant Features for Absolute Pose Regression
* Leveraging Existing Heritage Documentation for Animations: Senate Virtual Tour
* Leveraging Expert Feature Knowledge for Predicting Image Aesthetics
* Leveraging Feature Uncertainty in the PnP Problem
* Leveraging Filter Correlations for Deep Model Compression
* Leveraging Frequency Based Salient Spatial Sound Localization to Improve 360° Video Saliency Prediction
* Leveraging Future Trajectory Prediction for Multi-Camera People Tracking
* Leveraging GANs for data scarcity of COVID-19: Beyond the hype
* Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation
* Leveraging geometry and appearance cues for recognizing family photos
* Leveraging Graph and Deep Learning Uncertainties to Detect Anomalous Maritime Trajectories
* Leveraging Hand-Object Interactions in Assistive Egocentric Vision
* Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting
* Leveraging Hidden Positives for Unsupervised Semantic Segmentation
* Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition
* Leveraging High Level Visual Information for Matching Images and Captions
* Leveraging Human Driving Preferences to Predict Vehicle Speed
* Leveraging Human Mobility Data for Efficient Parameter Estimation in Epidemic Models of COVID-19
* Leveraging Human Visual Perception for an Optimized Virtual Reality Experience
* Leveraging image based prior for visual place recognition
* Leveraging Implicit Spatial Information in Global Features for Image Retrieval
* Leveraging in-scene spectra for vegetation species discrimination with MESMA-MDA
* Leveraging Inpainting for Single-Image Shadow Removal
* Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation
* Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
* Leveraging intra-class variations to improve large vocabulary gesture recognition
* Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment
* Leveraging Intrinsic Properties for Non-Rigid Garment Alignment
* Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms
* Leveraging Large Face Recognition Data for Emotion Classification
* Leveraging Line-point Consistence to Preserve Structures for Wide Parallax Image Stitching
* Leveraging Linguistically-aware Object Relations and NASNet for Image Captioning
* Leveraging Local and Global Cues for Visual Tracking via Parallel Interaction Network
* Leveraging local and global descriptors in parallel to search correspondences for visual localization
* Leveraging local neighborhood topology for large scale person re-identification
* Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks
* Leveraging Localization Accuracy With Off-Centered GPS
* Leveraging Long-Range Temporal Relationships Between Proposals for Video Object Detection
* Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking
* Leveraging Longitudinal Data for Cardiomegaly and Change Detection in Chest Radiography
* Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis
* Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level
* Leveraging Machine Learning to Extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): A Case Study in Forest-Type Mapping
* Leveraging Maturity Assessment to Choose the Right Applications For Smart Cities: Turkey's Approach
* Leveraging mid-level deep representations for predicting face attributes in the wild
* Leveraging MoCap Data for Human Mesh Recovery
* Leveraging Model Fusion for Improved License Plate Recognition
* Leveraging Motion Priors in Videos for Improving Human Segmentation
* Leveraging Multi-modal Analyses and Online Knowledge Base for Video Aboutness Generation
* Leveraging multi-modal fusion for graph-based image annotation
* Leveraging Multi-Sensor Time Series Datasets to Map Short- and Long-Term Tropical Forest Disturbances in the Colombian Andes
* Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case
* Leveraging Multi scale Backbone with Multilevel supervision for Thermal Image Super Resolution
* Leveraging Multilingual Transfer for Unsupervised Semantic Acoustic Word Embeddings
* Leveraging Multimodal Semantic Fusion for Gastric Cancer Screening via Hierarchical Attention Mechanism
* Leveraging multiple cues for recognizing family photos
* Leveraging Multiple Datasets for Deep Leaf Counting
* Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media
* Leveraging multiple simulators for crossing the reality gap
* Leveraging multiple tasks to regularize fine-grained classification
* Leveraging Mutual Information in Local Descriptions: From Local Binary Patterns to the Image
* Leveraging object-orientation for real-time imaging systems
* Leveraging observation uncertainty for robust visual tracking
* Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
* Leveraging Optical Flow Features for Higher Generalization Power in Video Object Segmentation
* Leveraging Orientation Knowledge to Enhance Human Pose Estimation Methods
* Leveraging OSM and GEOBIA to Create and Update Forest Type Maps
* Leveraging over prior knowledge for online learning of visual categories
* Leveraging Pattern Recognition Consistency Estimation for Crowdsourcing Data Analysis
* Leveraging per Image-Token Consistency for Vision-Language Pre-Training
* Leveraging photogrammetric mesh models for aerial-ground feature point matching toward integrated 3D reconstruction
* Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction
* Leveraging Pre-trained CNN Models for Skeleton-based Action Recognition
* Leveraging Pretrained Image Classifiers for Language-Based Segmentation
* Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework
* Leveraging probabilistic season and location context models for scene understanding
* Leveraging public posts and comments as covert channels
* Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval
* Leveraging Question Answering for Domain-Agnostic Information Extraction
* Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection
* Leveraging recent advances in deep learning for audio-Visual emotion recognition
* Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling
* Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task
* Leveraging Road Characteristics and Contributor Behaviour for Assessing Road Type Quality in OSM
* Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly
* Leveraging seed dictionaries to improve dictionary learning
* Leveraging Seen and Unseen Semantic Relationships for Generative Zero-shot Learning
* Leveraging Selective Prediction for Reliable Image Geolocation
* Leveraging Self-Paced Semi-Supervised Learning with Prior Knowledge for 3D Object Detection on a LiDAR-Camera System
* Leveraging Self-supervised Training for Unintentional Action Recognition
* Leveraging Self-Supervision for Cross-Domain Crowd Counting
* Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild
* Leveraging Sentinel-1 time-series data for mapping agricultural land cover and land use in the tropics
* Leveraging Sequential Pattern Information for Active Learning from Sequential Data
* Leveraging shape and depth in user authentication from in-air hand gestures
* Leveraging Shape Completion for 3D Siamese Tracking
* Leveraging Shared and Divergent Facial Expression Behavior Between Genders in Deception Detection
* Leveraging similarities and structure for dense representations combination in image retrieval
* Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure
* Leveraging Skeleton Structure and Time Dependencies in the Scope of Action Recognition
* Leveraging Smart Devices for Scene Text Preserved Image Stylization: A Deep Gaming Approach
* Leveraging Smartphone Sensors to Detect Distracted Driving Activities
* Leveraging social media for scalable object detection
* Leveraging social network information to recognize people
* Leveraging Soil Moisture Assimilation in Permafrost Affected Regions
* Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo
* Leveraging Spatial Model to Improve Indoor Tracking
* Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition
* Leveraging spatio-temporal features using graph neural networks for human activity recognition
* Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation
* Leveraging stereo matching with learning-based confidence measures
* Leveraging stereopsis for saliency analysis
* Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction
* Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification
* Leveraging Style and Content features for Text Conditioned Image Retrieval
* Leveraging surrounding context for scene text detection
* Leveraging Symbolic Knowledge Bases for Commonsense Natural Language Inference Using Pattern Theory
* Leveraging Symmetries to Improve Object Detection and Pose Estimation from Range Data
* Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles
* Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI
* Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking
* Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognition
* Leveraging Temporal Context in Low Representational Power Regimes
* Leveraging Temporal Data for Automatic Labelling of Static Vehicles
* Leveraging Temporal Information for 3D Trajectory Estimation of Space Objects
* Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video
* Leveraging tensor kernels to reduce objective function mismatch in deep clustering
* Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise
* Leveraging the Availability of Two Cameras for Illuminant Estimation
* Leveraging the Bayesian Filtering Paradigm for Vision-Based Facial Affective State Estimation
* Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions
* Leveraging the Discrete Cosine Basis for Better Motion Modelling in Highly Textured Video Sequences
* Leveraging the Dynamics of Non-Verbal Behaviors For Social Attitude Modeling
* Leveraging the Google Earth Engine for Drought Assessment Using Global Soil Moisture Data
* Leveraging the Invariant Side of Generative Zero-Shot Learning
* Leveraging the Mixed-Text Segmentation Problem to Design Secure Handwritten CAPTCHAs
* Leveraging the Video-Level Semantic Consistency of Event for Audio-Visual Event Localization
* Leveraging the Wisdom of the Crowd for Fine-Grained Recognition
* Leveraging TLS as a Calibration and Validation Tool for MLS and ULS Mapping of Savanna Structure and Biomass at Landscape-Scales
* Leveraging topic feature for followee recommendation on Twitter network
* Leveraging Topographic Maps for Image to Terrain Alignment
* Leveraging topology for domain adaptive road segmentation in satellite and aerial imagery
* Leveraging Tree Statistics for Extracting Anatomical Trees from 3D Medical Images
* Leveraging triplet loss for unsupervised action segmentation
* Leveraging Uncertainty to Rethink Loss Functions and Evaluation Measures for Egocentric Action Anticipation
* Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
* Leveraging Unlabeled Data for Glioma Molecular Subtype and Survival Prediction
* Leveraging Unlabeled Data for Sketch-based Understanding
* Leveraging unpaired out-of-domain data for image captioning
* Leveraging user query log: toward improving image data clustering
* Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection
* Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology
* Leveraging Virtual and Real Person for Unsupervised Person Re-Identification
* Leveraging Vision Reconstruction Pipelines for Satellite Imagery
* Leveraging Visual Attention for out-of-distribution Detection
* Leveraging visual concepts and query performance prediction for semantic-theme-based video retrieval
* Leveraging Visual Prompts To Guide Language Modeling for Referring Video Object Segmentation
* Leveraging Visual Question Answering for Image-Caption Ranking
* Leveraging vocabulary tree for simultaneous match pair selection and guided feature matching of UAV images
* Leveraging Weak Semantic Relevance for Complex Video Event Classification
* Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction
* LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
* LEW: learning by watching
* LEWIS: Latent Embeddings for Word Images and Their Semantics
* LEXER: LEXicon Based Emotion AnalyzeR
* Lexical Analyzer Based on a Self-Organizing Feature Map
* Lexical Gesture Interface
* Lexical post-processing optimization for handwritten word recognition
* Lexical postcorrection of OCR-results: The Web as a Dynamic Secondary Dictionary?
* Lexical TF-IDF: An n-gram Feature Space for Cross-Domain Classification of Sentiment Reviews
* Lexicographic Bit Allocation for MPEG Video Coding
* Lexicon-based Browsers for Searching in News Video Archives
* Lexicon-based offline recognition of Amharic words in unconstrained handwritten text
* Lexicon-Based Sentiment Convolutional Neural Networks for Online Review Analysis
* Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model
* lexicon-driven approach for optimal segment combination in off-line recognition of unconstrained handwritten Korean words, A
* Lexicon-driven handwritten character string recognition for Japanese address reading
* Lexicon-Driven Handwritten City-Name Recognition Scheme for Indian Postal Automation, A
* Lexicon-Driven Handwritten Word Recognition Using Optimal Linear Combinations of Order Statistics
* Lexicon-driven HMM decoding for large vocabulary handwriting recognition with multiple character models
* Lexicon-driven recognition of one-stroke character strings in visual gesture
* Lexicon-Driven Segmentation and Recognition of Handwritten Character Strings for Japanese Address Reading
* lexicon-free approach for 3D handwriting recognition using classifier combination, A
* Lexicon-free handwritten word spotting using character HMMs
* Lexicon-Free, Novel Segmentation of Online Handwritten Indic Words
* Lexicon and hidden Markov model-based optimisation of the recognised Sinhala script
* Lexicon based feature extraction for emotion text classification
* Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications, A
* Lexicon expansion for latent variable grammars
* Lexicon Generation for Emotion Detection from Text
* Lexicon reduction for printed Farsi subwords using pictorial and textual dictionaries
* Lexicon Reduction in an HMM-Framework Based on Quantized Feature Vectors
* Lexicon reduction of handwritten Arabic subwords based on the prominent shape regions
* lexicon reduction strategy in the context of handwritten medical forms, A
* Lexicon reduction using dots for off-line Farsi/Arabic handwritten word recognition
* Lexicon reduction using key characters in cursive handwritten words
* Lexicon Reduction Using Segment Descriptors for Arabic Handwriting Recognition
* LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
* LF-CAE: Context-Adaptive Encoding for Lenslet Light Fields Using HEVC
* LF-fusion: Dense and accurate 3D reconstruction from light field images
* LFEformer: Local Feature Enhancement Using Sliding Window With Deformability for Automatic Speech Recognition
* LFHOG: A discriminative descriptor for live face detection from light field image
* LFI-Augmenter: Intelligent Light Field Image Editing With Interleaved Spatial-Angular Convolution
* LFI-CAM: Learning Feature Importance for Better Visual Explanation
* LFIEM: Lightweight Filter-based Image Enhancement Model
* LFIR2Pose: Pose Estimation from an Extremely Low-resolution FIR image Sequence
* LFNAT 2023 Challenge on Light Field Depth Estimation: Methods and Results
* LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution
* LFNet: Light Field Fusion Network for Salient Object Detection
* LFNet: Local Rotation Invariant Coordinate Frame for Robust Point Cloud Analysis
* LFS-GAN: Lifelong Few-Shot Image Generation
* LFSimCC: Spatial fusion lightweight network for human pose estimation
* LFT-Net: Local Feature Transformer Network for Point Clouds Analysis
* LFTransNet: Light Field Salient Object Detection via a Learnable Weight Descriptor
* LFW-Gender Dataset, The
* LFW Results Using a Combined Nowak Plus MERL Recognizer
* LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising
* LG-CNN: From local parts to global discrimination for fine-grained recognition
* LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks
* LG-Tree: An Efficient Labeled Index for Shortest Distance Search on Massive Road Networks
* LG Iris Access
* LG: A clustering framework supported by point proximity relations
* LGANet: Local and global attention are both you need for action recognition
* LGB-PHY: An Evaporation Duct Height Prediction Model Based on Physically Constrained LightGBM Algorithm
* LGCN: Learnable Gabor Convolution Network for Human Gender Recognition in the Wild
* LGCOAMix: Local and Global Context-and-Object-Part-Aware Superpixel-Based Data Augmentation for Deep Visual Recognition
* LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification
* LGE-KSVD: Robust Sparse Representation Classification
* LGGD+: Image Retargeting Quality Assessment by Measuring Local and Global Geometric Distortions
* LGHD: A feature descriptor for matching across non-linear intensity variations
* LgNet: A Local-Global Network for Action Recognition and Beyond
* LGSNet: A Two-Stream Network for Micro- and Macro-Expression Spotting With Background Modeling
* LGSQE: Lightweight Generated Sample Quality Evaluation
* LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network
* LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity
* LHDR: HDR Reconstruction for Legacy Content Using a Lightweight DNN
* LHI Object Datasets
* LHI Segmentation Dataset
* LHI Sports Activity Dataset
* LHI Surveillance Dataset
* LHONE: Label Homophily Oriented Network Embedding
* LHPHGCNN: Lightweight Hierarchical Parallel Heterogeneous Group Convolutional Neural Networks for Point Cloud Scene Prediction
* Li3DeTr: A LiDAR based 3D Detection Transformer
* LIA RT'07 Speaker Diarization System, The
* LibCVD: computer vision library
* libE57: software tools for managing E57 files
* LiberoVision
* LibFewShot: A Comprehensive Library for Few-Shot Learning
* LIBPMK: A Pyramid Match Toolkit
* Libra R-CNN: Towards Balanced Learning for Object Detection
* Library-Based Illumination Synthesis for Critical CMOS Patterning
* Library of Sample Image Instances for the Cutting Path Problem
* LibrARy: Enriching the Cultural Physical Spaces with Collaborative AR Content
* Libration Model For Enceladus Based On Geodetic Control Point Network Analysis, A
* LiBRe: A Practical Bayesian Approach to Adversarial Detection
* Librjmcmc: An Open-source Generic C++ Library For Stochastic Optimization
* LIBSVM: a library for support vector machines
* LIBSVMTL: a Support Vector Machine Template Library
* LIBSVX: A Supervoxel Library and Benchmark for Early Video Processing
* LibTIFF: TIFF Library and Utilities
* Lic-Based Regularization of Multi-Valued Images
* License number plate recognition system using entropy-based features selection approach with SVM
* License Plate-Recognition Algorithm for Intelligent Transportation System Applications, A
* License Plate Character Segmentation Using Hidden Markov Chains
* License Plate Detection and Character Recognition
* License Plate Detection and Character Segmentation Using Adaptive Binarization Based on Superpixels under Illumination Change
* License plate detection and recognition in complex scenes using mathematical morphology and support vector machines
* License Plate Detection and Recognition in Unconstrained Scenarios
* License Plate Detection and Recognition System for All Types of Bangladeshi Vehicles Using Multi-step Deep Learning Model
* License plate detection using adaptive morphological closing and local adaptive thresholding
* License Plate Detection Using Local Structure Patterns
* License Plate Detection via Information Maximization
* License Plate Extraction Algorithm Based on Edge Statistics and Region Growing, A
* License Plate Extraction in Low Resolution Video
* License Plate Image Reconstruction Based on Generative Adversarial Networks
* License plate localisation based on morphological operations
* License plate localization based on a probabilistic model
* License plate localization based on edge-geometrical features using morphological approach
* License Plate Recognition Data-Based Traffic Volume Estimation Using Collaborative Tensor Decomposition
* License Plate Recognition From Still Images and Video Sequences: A Survey
* License plate recognition software targets embedded systems
* License Plate Recognition System Using Artificial Neural Networks
* License Plate Recognition Using Weighted Finite-State Transducers and Different Evidence Combination Methods
* License Plate Recognition, Extraction, Analysis
* License plate segmentation and recognition system using deep learning and OpenVINO
* License plate surveillance system using weighted template matching
* LiCHy: The CAF's LiDAR, CCD and Hyperspectral Integrated Airborne Observation System
* LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity
* LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor
* LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation
* Lidar- and UAV-Based Vertical Observation of Spring Ozone and Particulate Matter in Nanjing, China
* Lidar- and V2X-Based Cooperative Localization Technique for Autonomous Driving in a GNSS-Denied Environment
* LiDAR-Aided Interior Orientation Parameters Refinement Strategy for Consumer-Grade Cameras Onboard UAV Remote Sensing Systems
* LIDAR-Aided SAR Interferometry Studies in Boreal Forest: Scattering Phase Center and Extinction Coefficient at X- and L-Band
* LiDAR-Assisted Multi-Source Program (LAMP) for Measuring Above Ground Biomass and Forest Carbon
* LiDAR-Aug: A General Rendering-based Augmentation Framework for 3D Object Detection
* Lidar-Based 3-D Photosynthetically Active Radiation Model Reveals the Spatiotemporal Variations of Forest Sunlit and Shaded Leaves, A
* Lidar-Based Aboveground Biomass Estimations for the Maya Archaeological Site of Yaxnohcah, Campeche, Mexico
* LiDAR-Based Estimates of Canopy Base Height for a Dense Uneven-Aged Structured Forest
* Lidar-Based Gait Analysis and Activity Recognition in a 4D Surveillance System
* LiDAR-Based Hatch Localization
* Lidar-based Lane Marking Extraction Through Intensity Thresholding And Deep Learning Approaches: A Pavement-based Assessment
* LiDAR-Based Local Path Planning Method for Reactive Navigation in Underground Mines
* LiDAR-Based Localization on Highways Using Raw Data and Pole-Like Object Features
* LiDAR-based localization using universal encoding and memory-aware regression
* LIDAR-based Long Range Road Intersection Detection
* Lidar-based Mapping of Forest Volume and Biomass by Taxonomic Group Using Structurally Homogenous Segments
* Lidar-Based Morphometry of Conical Hills in Temperate Karst Areas in Slovenia
* LiDAR-Based Morphometry of Dolines in Aggtelek Karst (Hungary) and Slovak Karst (Slovakia)
* LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention
* LiDAR-based Panoptic Segmentation via Dynamic Shifting Network
* LiDAR-Based Real-Time Panoptic Segmentation via Spatiotemporal Sequential Data Fusion
* LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
* LiDAR-based single-shot global localization solution using a cross-section shape context descriptor, A
* LiDAR-Based SLAM under Semantic Constraints in Dynamic Environments
* LiDAR-Based Solar Mapping for Distributed Solar Plant Design and Grid Integration in San Antonio, Texas
* LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment
* LiDAR-data: automatic object detection for urban flooding models.
* Lidar-Derived Aerosol Properties from Ny-Olesund, Svalbard during the MOSAiC Spring 2020
* LiDAR-Derived High Quality Ground Control Information and DEM for Image Orthorectification
* LiDAR-Derived Relief Typology of Loess Patches (East Poland)
* Lidar-Derived Site Index in the U.S. Pacific Northwest: Challenges and Opportunities
* LiDAR-Derived Surface Roughness Texture Mapping: Application to Mount St. Helens Pumice Plain Deposit Analysis
* Lidar-equipped UAV for building information modelling
* LiDAR-Generated Images Derived Keypoints Assisted Point Cloud Registration Scheme in Odometry Estimation
* LiDAR-guided dense matching for detecting changes and updating of buildings in Airborne LiDAR data
* LiDAR-guided stereo matching with a spatial consistency constraint
* Lidar-Imagery Fusion Reveals Rapid Coastal Forest Loss in Delaware Bay Consistent with Marsh Migration
* LiDAR-in-the-Loop Hyperparameter Optimization
* Lidar-incorporated Traffic Sign Detection From Video Log Images Of Mobile Mapping System
* LiDAR-Inertial-GNSS Fusion Positioning System in Urban Environment: Local Accurate Registration and Global Drift-Free
* LIDAR-Inertial Real-Time State Estimator with Rod-Shaped and Planar Feature
* LiDAR-Landsat data fusion for large-area assessment of urban land cover: Balancing spatial resolution, data volume and mapping accuracy
* LiDAR-only 3D object detection based on spatial context
* LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation
* LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
* LiDAR-Visual-Inertial Odometry Based on Optimized Visual Point-Line Features
* Lidar-Visual-Inertial Odometry Using Point and Line Features
* Lidar Aboveground Vegetation Biomass Estimates in Shrublands: Prediction, Uncertainties and Application to Coarser Scales
* Lidar and INS Fusion in Periods of GPS Outages for Mobile Laser Scanning Mapping Systems
* LiDAR and object-based image analysis as tools for monitoring the structural diversity of savanna vegetation
* LiDAR and Orthophoto Synergy to optimize Object-Based Landscape Change: Analysis of an Active Landslide
* Lidar and Photogrammetry Approaches for Monitoring Land Surface Morphology in Ephemeral Gully System
* Lidar and Radar Signal Simulation: Stability Assessment of the Aerosol-Cloud Interaction Index
* LiDAR and UAV SfM-MVS of Merapi Volcanic Dome and Crater Rim Change from 2012 to 2014
* LiDAR and UAV System Data to Analyse Recent Morphological Changes of a Small Drainage Basin
* LIDAR and VHRS Data for Assessing Living Quality in Cities: An Approach Based on 3D Spatial Indices
* LiDAR as a Tool for Assessing Timber Assortments: A Systematic Literature Review
* Lidar Cloud Detection With Fully Convolutional Networks
* Lidar Data Analyses for Assessing The Conservation Status of The So-called Baths-church in Hierapolis of Phrygia (tr)
* LiDAR Data and HRSI to Evaluate the Mitigating Effect of Forests into Rockfall Risk Analysis Using SOM: Mt San Liberatore Case Study
* LIDAR Data Classification Using Hierarchical K-Means Clustering
* LiDAR Data Enrichment by Fusing Spatial and Temporal Adjacent Frames
* LIDAR Data Reduction for Efficient and High Quality DEM Generation
* Lidar Data Reduction for Unmanned Systems Navigation in Urban Canyon
* LiDAR DEM Smoothing and the Preservation of Drainage Features
* LiDAR Depth Completion Using Color-Embedded Information via Knowledge Distillation
* LIDAR Derived 3D City Modelling
* LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection
* Lidar Estimates of the Anisotropy of Wind Turbulence in a Stable Atmospheric Boundary Layer
* Lidar Filtering Algorithm for Urban Flood Application
* LiDAR Filtering in 3D Object Detection Based on Improved RANSAC
* LiDAR for Aerosols, Aerosol Optical Depth, Air Quality
* Lidar for Autonomous Driving: The Principles, Challenges, and Trends for Automotive Lidar and Perception Systems
* LiDAR for Autonomous Vehicles: The future of 3D Sensing and Perception
* LiDAR for Land Cover, Laser Scanners for Land Cover, Remote Sensing
* Lidar guided stereo simultaneous localization and mapping (SLAM) for UAV outdoor 3-D scene reconstruction
* LiDAR inpainting from a single image
* Lidar measurements for water vapor vertical profiles up to the stratosphere
* LiDAR Observations of Multi-Modal Swash Probability Distributions on a Dissipative Beach
* LiDAR Odometry and Mapping Based on Neighborhood Information Constraints for Rugged Terrain
* LiDAR Odometry and Mapping Based on Semantic Information for Outdoor Environment
* LiDAR Odometry by Deep Learning-Based Feature Points with Two-Step Pose Estimation
* LiDAR Odometry, Distance Measurments from LiDAR
* Lidar on a Chip Enters the Fast Lane: Sensors for Self-Driving Cars and Robots will be Tiny, Reliable, and Affordable
* Lidar Optical and Microphysical Characterization of Tropospheric and Stratospheric Fire Smoke Layers Due to Canadian Wildfires Passing over Naples (Italy)
* lidar perception scheme for intelligent vehicle navigation, A
* Lidar Photogrammetry And Its Data Organization
* Lidar point-to-point correspondences for rigorous registration of kinematic scanning in dynamic networks
* Lidar Point Cloud Compression, Processing and Learning for Autonomous Driving
* Lidar Point Cloud Guided Monocular 3D Object Detection
* LiDAR Point Clouds Usage for Mapping the Vegetation Cover of the Fryderyk Mine Repository
* Lidar Positioning for Indoor Precision Navigation
* Lidar Prediction of Small Mammal Diversity in Wisconsin, USA
* Lidar Processing for Defining Sinkhole Characteristics under Dense Forest Cover: A Case Study in the Dinaric Mountains
* Lidar Profiling of Aerosol Vertical Distribution in the Urbanized French Alpine Valley of Annecy and Impact of a Saharan Dust Transport Event
* LiDAR R-CNN: An Efficient and Universal 3D Object Detector
* Lidar Ratio Regional Transfer Method for Extinction Coefficient Accuracy Improvement in Lidar Networks
* Lidar Remote Sensing of Seawater Optical Properties: Experiment and Monte Carlo Simulation
* LiDAR Reveals the Process of Vision-Mediated Predator-Prey Relationships
* LiDAR Sampling Density for Forest Resource Inventories in Ontario, Canada
* LIDAR Scan Registration Robust to Extreme Motions
* LIDAR Scanning as an Advanced Technology in Physical Hydraulic Modelling: The Stilling Basin Example
* LiDAR Segmentation using Suitable Seed Points for 3D Building Extraction
* Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
* Lidar Signal Denoising Using Least-Squares Support Vector Machine
* LIDAR Signature Based Node Detection and Classification in Graph Topological Maps for Indoor Navigation
* LiDAR SLAM Based Multivehicle Cooperative Localization Using Iterated Split CIF
* LiDAR Snowfall Simulation for Robust 3D Object Detection
* LiDAR Strip Adjustment using Automatically Reconstructed Roof Shapes
* LIDAR Strip Adjustment using Conjugate Linear Features in Overlapping Strips
* LiDAR Strip Adjustment Using Multifeatures Matched With Aerial Images
* Lidar Studies of Wind Turbulence in the Stable Atmospheric Boundary Layer
* LIDAR that will make self-driving cars affordable [News]
* LIDAR to image coregistration on orbital data
* LiDAR Utility for Natural Resource Managers
* LiDAR Validation of a Video-Derived Beachface Topography on a Tidal Flat
* LiDAR video object segmentation with dynamic kernel refinement
* LiDAR Voxel-Size Optimization for Canopy Gap Estimation
* Lidar Waveform-Based Analysis of Depth Images Constructed Using Sparse Single-Photon Data
* Lidar waveform modeling using a marked point process
* Lidar Waveform Simulation Over Complex Targets
* Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass
* LIDAR, LADAR -- Range data
* LiDAR, Territory and Archaeological Areas: New Results and Perspectives For The Knowledge, Analysis and Preservation of Complex Contexts
* LiDAR/RISS/GNSS Dynamic Integration for Land Vehicle Robust Positioning in Challenging GNSS Environments
* LiDAR/Visual SLAM Backend with Loop Closure Detection and Graph Optimization, A
* LiDAR: A Technology to Assist with Smart Cities and Climate Change Resilience: A Case Study in an Urban Metropolis
* LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation
* LidarBoost: Depth superresolution for ToF 3D shape scanning
* Lidarbox: A fast and accurate method for object proposals VIA lidar point clouds for autonomous vehicles
* LiDARCap: Long-range Markerless 3D Human Motion Capture with LiDAR Point Clouds
* LidarCSNet: A Deep Convolutional Compressive Sensing Reconstruction Framework for 3D Airborne Lidar Point Cloud
* LidarGait: Benchmarking 3D Gait Recognition with Point Clouds
* Lidargrammetric Model Deformation Method for Altimetric UAV-ALS Data Enhancement, The
* LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds
* Lidars With Narrow FOV for Daylight Measurements
* LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
* LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR
* LiDeNeRF: Neural radiance field reconstruction with depth prior provided by LiDAR point cloud
* LIDIA: Lightweight Learned Image Denoising with Instance Adaptation
* Lie-algebraic averaging for globally consistent motion estimation
* Lie-Struck: Affine Tracking on Lie Groups Using Structured SVM
* Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups
* Lie Algebra-Based Kinematic Prior for 3D Human Pose Tracking
* Lie Algebra and System Identification Techniques for 3D Rigid Motion Estimation and Monocular Tracking
* Lie algebra approach for tracking and 3D motion estimation using monocular vision
* Lie algebra representation for efficient 2D shape classification, A
* Lie algebra template tracking
* Lie Bodies: A Manifold Representation of 3D Human Shape
* Lie Generators For Computing Steerable Functions
* Lie Group Analysis in Object Recognition
* Lie Group Approach to Steerable Filters, A
* Lie group distance based generic 3-d vehicle classification
* Lie Group Equivariant Convolutional Neural Network Based on Laplace Distribution
* Lie group kernel learning method for medical image classification, A
* Lie group method: A new approach to image matching with arbitrary orientations
* Lie Group Modelling for an EKF-Based Monocular SLAM Algorithm
* Lie Group Theoretical Approach to the Invariance Problem in Feature Extraction and Object Recognition, A
* Lie Group Theory, Space Variant Fourier Analysis and the Exponential Chirp Transform
* Lie Group Transformations of Objects in Video Images
* Lie Methods in Color Signal Processing: Illumination Effects
* Lie to Me: Deceit detection via online behavioral learning
* Lietome: An LSTM-based Method for Deception Detection by Hand Movements
* LieToMe: Preliminary study on hand gestures for deception detection via Fisher-LSTM
* LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation
* Life-Long Optimization of the Symbolic Model of Indoor Environments for a Mobile Robot
* Life-Size and Near Real-Time Test of Irrigation Scheduling with a Sentinel-2 Like Time Series (SPOT4-Take5) in Morocco, A
* Life Signs Detector Using a Drone in Disaster Zones
* Life: A Flexible Testbed for Light Field Evaluation
* Lifecycle Cost Optimization for Electric Bus Systems With Different Charging Methods: Collaborative Optimization of Infrastructure Procurement and Fleet Scheduling
* Lifecycle Management, Monitoring and Assessment for Safe Large-scale Infrastructures: Challenges and Needs
* Lifecycle of a Neural Network in the Wild: A Multiple Instance Learning Study on Cancer Detection from Breast Biopsies Imaged with Novel Technique, The
* Lifegame Approach to Surface Modeling and Rendering, A
* Lifelike talking faces for interactive services
* Lifelog Exploration Prototype in Virtual Reality
* Lifelog Scene Change Detection Using Cascades of Audio and Video Detectors
* Lifelog, Daily Activities
* Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare
* Lifelong Age Transformation With a Deep Generative Prior
* Lifelong Change Detection: Continuous Domain Adaptation for Small Object Change Detection in Everyday Robot Navigation
* Lifelong CycleGAN for continual multi-task image restoration
* Lifelong GAN: Continual Learning for Conditional Image Generation
* Lifelong Graph Learning
* Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process
* Lifelong Learning for Document Image Binarization: An Experimental Study
* Lifelong Learning for Text Steganalysis Based on Chronological Task Sequence
* Lifelong learning of interpretable image representations
* Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer
* Lifelong Learning via Progressive Distillation and Retrospection
* Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
* Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
* Lifelong robotic visual-tactile perception learning
* Lifelong Teacher-Student Network Learning
* Lifelong Twin Generative Adversarial Networks
* Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation
* Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
* Lifelong Visual-Tactile Spectral Clustering for Robotic Object Perception
* Lifespan Age Transformation Synthesis
* Lifetime-Distortion Trade-off in Image Sensor Networks
* Lifetime Absolute Calibration of the EO-1 Hyperion Sensor and its Validation
* Lifetime and Deployment Limits for Mobile, 3D-Perceptual Applications
* Lifetime map reconstruction in frequency-domain fluorescence lifetime imaging microscopy
* LiFF: Light Field Features in Scale and Depth
* Lift-button detection and recognition for service robot in buildings
* Lift and Relax for PDE-Constrained Inverse Problems in Seismic Imaging
* Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D
* LIFT: Learned Invariant Feature Transform
* LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection
* Lift: Multi-Label Learning with Label-Specific Features
* Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field
* Lifted road map view on windshield display
* Lifted Semantic Graph Embedding for Omnidirectional Place Recognition
* Lifting-based design of reversible cellular automata for scalable coding of binary images
* Lifting-Based Directional DCT-Like Transform for Image Coding
* Lifting-based Illumination Adaptive Transform (LIAT) using mesh-based illumination modelling
* Lifting-based invertible motion adaptive transform (LIMAT) framework for highly scalable video compression
* Lifting-based Laplacian Pyramid reconstruction schemes
* Lifting-Based Reversible Transforms for Lossy-to-Lossless Wavelet Codecs
* Lifting-based wavelet domain adaptive Wiener filter for image enhancement
* Lifting-Based Wavelet Transform Supporting Non-Dyadic Spatial Scalability, A
* Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept
* Lifting 2D Object Detections to 3D: A Geometric Approach in Multiple Views
* Lifting 2D StyleGAN for 3D-Aware Face Generation
* Lifting 3D Manhattan Lines from a Single Image
* Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion
* lifting based system for compression and classification trade off in the JPEG2000 framework, A
* Lifting construction based on Bernstein bases and application in image compression
* Lifting factorization-based discrete wavelet transform architecture design
* Lifting Factorization and Construction of Wavelet Bi-Frames With Arbitrary Generators and Scaling, The
* Lifting Filters Adjustment for Lossless Image Compression Applications
* Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation
* Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
* Lifting GIS maps into strong geometric context for scene understanding
* Lifting Layers: Analysis and Applications
* Lifting Monocular Events to 3D Human Poses
* Lifting Object Detection Datasets into 3D
* Lifting of International Sanctions and the Shadow Economy in Iran: A View from Outer Space
* Lifting Posture Prediction With Generative Models for Improving Occupational Safety
* Lifting Scheme-Based Deep Neural Network for Remote Sensing Scene Classification
* Lifting Scheme Based Deep Network Model for Remote Sensing Imagery Classification
* Lifting Scheme DWT Implementation in a Wireless Vision Sensor Network
* Lifting Scheme for Wavelet Bi-Frames: Theory, Structure, and Algorithm, The
* Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields
* Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus
* Lifting Wavelet Coding with Permutation and Coefficients Modification for Structured 3-D Geometry with Expanded Nodes
* LiftLT: Fast Lapped Transforms via Lifting Steps, The
* LIG multi-criteria system for video retrieval, The
* LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
* Ligature Instabilities in the Perceptual Organization of Shape
* Ligature Modeling for Online Cursive Script Recognition
* Ligature Segmentation for Urdu OCR
* Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing
* Light-Efficient Photography
* Light-Field Camera Calibration from Raw Images
* Light-Field Depth Estimation Using RNN and CRF
* Light-Field Depth Estimation via Epipolar Plane Image Analysis and Locally Linear Embedding
* Light-field flow: A subpixel-accuracy depth flow estimation with geometric occlusion model from a single light-field image
* Light-field generation by several screen types for glasses-free tabletop 3D display
* Light-field image compression based on variational disparity estimation and motion-compensated wavelet decomposition
* Light-Field Image Super-Resolution Using Convolutional Neural Network
* Light-Field Image Superresolution Using a Combined Deep CNN Based on EPI
* Light-Field Imaging Reconstruction Using Deep Learning Enabling Intelligent Autonomous Transportation System
* Light-Field Journey to Virtual Reality, A
* Light-Field Microscopy for the Optical Imaging of Neuronal Activity: When model-based methods meet data-driven approaches
* Light-Field Surface Color Segmentation with an Application to Intrinsic Decomposition
* Light-field video coding using geometry-based disparity compensation
* Light-Field View Synthesis Using A Convolutional Block Attention Module
* Light-Guided and Cross-Fusion U-Net for Anti-Illumination Image Super-Resolution
* Light-invariant fitting of active appearance models
* light-path less traveled, The
* Light-Pollution-Monitoring Method for Selected Environmental and Social Elements
* Light-Powered Smart Camera With Compressed Domain Gesture Detection, A
* Light-Stripe-Projection-Based Target Position Designation for Intelligent Parking-Assist System
* Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation
* Light-Weight Cloud Detection Network for Optical Remote Sensing Images with Attention-Based DeeplabV3+ Architecture
* Light-Weight Deformable Registration Using Adversarial Learning With Distilling Knowledge
* Light-weight Distilled Hrnet for Facial Landmark Detection
* Light-Weight Event-Driven Protocol for Sensor Clustering in Wireless Camera Networks, A
* Light-weight Frequency Information Aware Neural Network Architecture for Voice Spoofing Detection
* Light-Weight Head Pose Invariant Gaze Tracking
* light-weight HEVC encoder for image coding, A
* Light-Weight Human Eye Fixation Solution for Smartphone Applications, A
* Light-weight Laser Scanner For UAV Applications, A
* Light-Weight Mixed Stage Partial Network for Surveillance Object Detection with Background Data Augmentation
* Light-weight Monocular Depth Estimation with Edge-guided Occlusion Fading Reduction, A
* Light-weight Multispectral UAV Sensors And Their Capabilities For Predicting Grain Yield And Detecting Plant Diseases
* Light-weight salient foreground detection for embedded smart cameras
* Light-Weight Sensor Package for Precision 3D Measurement with Micro UAVS e.g. Power-Line Monitoring
* Light-weight shadow detection via GCN-based annotation strategy and knowledge distillation
* light-weight stereo matching network based on multi-scale features fusion and robust disparity refinement, A
* light-weight text image processing method for handheld embedded cameras, A
* Light-years from Lena: video and image libraries of the future
* Light-YOLOv3: License Plate Detection in Multi-Vehicle Scenario
* Light Aberration Effect in HR Geometric Model
* Light Absorption by Optically Active Components in the Arctic Region (August 2020) and the Possibility of Application to Satellite Products for Water Quality Assessment
* Light Adaptive 4000 Pixels Analog Silicon Retina for Edge Extraction and Motion Detection, A
* Light and Fast Statistical Motion Detection Method Based on Ergodic Model
* Light and Faster Regional Convolutional Neural Network for Object Detection in Optical Remote Sensing Images, A
* Light at the End of the Tunnel: High-Speed LiDAR-Based Train Localization in Challenging Underground Environments
* Light Attention Embedding for Facial Expression Recognition
* Light Attenuation and Color Fluctuation for Underwater Image Restoration
* Light beam scanning device
* Light budget study for a multiplanar volumetric 3D display
* Light CNN based Method for Hand Detection and Orientation Estimation, A
* light CNN for detecting COVID-19 from CT scans of the chest, A
* Light Deep Models for Cognitive Computing in Intelligent Transportation Systems
* Light Detection and Ranging (LiDAR) and Multispectral Scanner (MSS) Studies Examine Coastal Environments Influenced by Mining
* Light Diffusion In The Tropical Dry Forest Of Costa Rica
* Light diffusion through clouds and haze
* Light Dual-Task Neural Network for Haze Removal, A
* Light engine and optics for HELIUM3D auto-stereoscopic laser scanning display
* Light Environment and LAI Monitoring In Rice Community By Ground- And UAV-based Remote Sensing
* Light Fall-off Stereo
* Light Field Acquisition using Programmable Aperture Camera
* Light field all-in-focus image fusion based on spatially-guided angular information
* Light Field Analysis for Modeling Image Formation
* Light Field Angular Super-resolution via Dense Correspondence Field Reconstruction
* Light Field Blind Motion Deblurring
* Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution, The
* Light Field Cameras, Images, and Analysis
* Light Field Capturing with Lensless Cameras
* Light Field Coding Using Weighted Binary Images
* Light Field Coding With Field-of-View Scalability and Exemplar-Based Interlayer Prediction
* Light Field Compressed Sensing Over a Disparity-Aware Dictionary
* Light Field Compressed Sensing
* Light field compression based on prediction propagating and wavelet packet
* Light field compression using disparity-compensated lifting and shape adaptation
* Light Field Compression using Eigen Textures
* Light Field Compression Using Fourier Disparity Layers
* Light Field Compression Using Global Multiplane Representation and Two-Step Prediction
* Light Field Compression With Disparity-Guided Sparse Coding Based on Structural Key Views
* Light Field Compression With Graph Learning and Dictionary-Guided Sparse Coding
* Light Field Convergency: Implicit Photometric Consistency on Transparent Surface
* Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework
* Light field denoising, light field superresolution and stereo camera based refocussing using a GMM light field patch prior
* Light field denoising: exploiting the redundancy of an epipolar sequence representation
* Light Field Depth Estimation for Non-Lambertian Objects via Adaptive Cross Operator
* Light Field Depth Estimation on Off-the-Shelf Mobile GPU
* Light Field Depth Estimation
* Light field distortion feature for transparent object classification
* Light Field Distortion Feature for Transparent Object Recognition
* Light field editing in the gradient domain
* Light Field Estimation in the Ultraviolet Spectrum
* Light field extraction from a conventional camera
* Light Field FDL-HCGH Feature in Scale-Disparity Space, A
* Light Field FDL-HSIFT Feature in Scale-Disparity Space, A
* Light Field Foreground Matting Based on Defocus and Correspondence
* Light field from micro-baseline image pair
* Light Field from Smartphone-Based Dual Video
* Light Field Image Coding Using VVC Standard and View Synthesis Based on Dual Discriminator GAN
* Light field image coding via linear approximation prior
* Light field image coding with flexible viewpoint scalability and random access
* Light field image coding with hybrid scan order
* Light field image coding with jointly estimated self-similarity bi-prediction
* Light Field Image Compression Based on Bi-Level View Compensation With Rate-Distortion Optimization
* Light Field Image Compression Based on Convolutional Neural Networks and Linear Approximation
* Light Field Image Quality Assessment Model Based on Symmetry and Depth Features, A
* Light Field Image Quality Assessment Using Natural Scene Statistics and Texture Degradation
* Light Field Image Quality Assessment via the Light Field Coherence
* Light Field Image Quality Assessment with Dense Atrous Convolutions
* Light Field Image Restoration for Vision in Scattering Media
* Light Field Image Super-Resolution Using Deformable Convolution
* Light Field Image Super-Resolution With Transformers
* Light Field Inpainting Propagation via Low Rank Matrix Completion
* Light Field Integral Image Coding Optimization under 2D Hierarchical Coding Structure
* Light Field Intrinsics with a Deep Encoder-Decoder Network
* Light field layer matting
* Light field local binary patterns description for face recognition
* Light Field Messaging With Deep Photographic Steganography
* Light Field Morphable Models
* Light Field Multi-View Video Coding With Two-Directional Parallel Inter-View Prediction
* Light Field Neural Rendering
* Light field occlusion removal network via foreground location and background recovery
* Light Field Photography with a Hand-Held Plenoptic Camera
* Light Field Reconstruction Using a Planar Patch Model
* Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications
* Light Field Reconstruction Using Deep Convolutional Network on EPI
* Light Field Reconstruction Using Dynamically Generated Filters
* Light Field Reconstruction Using Shearlet Transform
* Light Field Reconstruction via Deep Adaptive Fusion of Hybrid Lenses
* Light Field Rendering for Large-Scale Scenes
* Light Field Rendering
* Light Field Saliency Detection With Deep Convolutional Networks
* Light Field Saliency Detection with Dual Local Graph Learning and Reciprocative Guidance
* Light Field Salient Object Detection Based on Spatial Feature Compensation
* Light Field Salient Object Detection via Hybrid Priors
* Light Field Salient Object Detection With Sparse Views via Complementary and Discriminative Interaction Network
* Light Field Sampling
* Light Field Scale-Depth Space Transform for Dense Depth Estimation
* Light Field Segmentation Using a Ray-Based Graph Structure
* Light Field Spatial Super-Resolution Using Deep Efficient Spatial-Angular Separable Convolution
* Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
* Light Field Special Issue Editorial
* Light Field Stereo Matching Using Bilateral Statistics of Surface Cameras
* Light Field Stitching Based On Concentric Spherical Modeling
* Light Field Stitching for Parallax Tolerance
* Light Field Stitching Targeting Focal Length Inconsistency
* Light Field Super-Resolution By Jointly Exploiting Internal and External Similarities
* Light Field Super-Resolution Using a Low-Rank Prior and Deep Convolutional Neural Networks
* Light Field Super-Resolution Using Edge-Preserved Graph-Based Regularization
* Light field super-resolution using internal and external similarities
* Light Field Super-Resolution via Adaptive Feature Remixing
* Light Field Super-Resolution via LFBM5D Sparse Coding
* Light Field Super-Resolution with Zero-Shot Learning
* Light field super resolution through controlled micro-shifts of light field sensor
* Light field superresolution
* Light Field Surface Feature and Spherical Descriptor in the Surface Scale Space
* Light Field Synthesis by Training Deep Network in the Refocused Image Domain
* Light Field Synthesis from a Monocular Image using Variable LDI
* Light Field Synthesis Using Inexpensive Surveillance Camera Systems
* Light field variational estimation using a light field formation model
* Light Field Video Stabilization
* Light Field View Synthesis via Aperture Disparity and Warping Confidence Map
* Light Fields and Computational Imaging
* Light Fields for Computer Vision LFNAT: New Applications and Trends in Light Fields
* Light Fields for Computer Vision
* Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs
* Light Illumination and Detection Patterns for Fluorescence Diffuse Optical Tomography Based on Compressive Sensing
* Light in Dark Places: 3D Reconstruction from Stereo Views with a Moving Light Source, A
* Light Invariant Video Imaging for Improved Performance of Convolution Neural Networks
* Light mixture intrinsic image decomposition based on a single RGB-D image
* light modulation/demodulation method for real-time 3D imaging, A
* Light Multiscale Conventional Neural Network for MP3 Steganalysis
* Light on horizontal interactive surfaces: Input space for tabletop computing
* Light Person Re-Identification by Multi-Cue Tiny Net
* Light projecting device with cylindrical lens
* Light Random Sprays Retinex: Exploiting the Noisy Illumination Estimation
* Light Scattering Model for Layered Dielectrics with Rough Surface Boundaries, A
* Light Scattering Model for Layered Rough Surfaces, A
* Light Simulation in a Distributed Driving Simulator
* Light Source Calibration for IBR and BTF Acquisition Setups
* Light Source Detection, Light Source Estimation
* Light Source Direction Computations, Illumination Information, Illuminant
* Light source estimation from a single image
* Light Source Estimation in Mobile Augmented Reality Scenes by Using Human Face Geometry
* Light Source Estimation in Synthetic Images
* Light source estimation of outdoor scenes for mixed reality
* Light Source Guided Single-Image Flare Removal from Unpaired Data
* Light Source Metaphor Revisited: Bringing an Old Concept for Teaching Map Projections to the Modern Web, The
* Light Source Position and Reflectance Estimation from a Single View without the Distant Illumination Assumption
* Light Source Separation and Intrinsic Image Decomposition under AC Illumination
* Light Space Cascaded Shadow Maps for Large Scale Dynamic Environments
* Light Speed Labeling for RISC architectures
* Light speed labeling: efficient connected component labeling on RISC architectures
* Light Stage on Every Desk, A
* Light stripe triangulation for multiple of moving rigid objects
* Light Stripes
* Light Structure from Pin Motion: Geometric Point Light Source Calibration
* Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-Based Modeling
* Light Touch Approach to Teaching Transformers Multi-view Geometry, A
* Light Transport Analysis for 3D Photography
* Light transport component decomposition using multi-frequency illumination
* Light Transport Induced Domain Adaptation for Semantic Segmentation in Thermal Infrared Urban Scenes
* light transport model for mitigating multipath interference in Time-of-flight sensors, A
* Light Transport Refocusing for Unknown Scattering Medium
* Light Weight Background Blurring for Video Conferencing Applications
* light weight dynamic rate control scheme for video transmission over IP network, A
* Light Weight Model for Active Speaker Detection, A
* Light Weight Text Extraction Technique for Hand-Held Device, A
* Light YOLO for High-Speed Gesture Recognition
* LIGHT: Local Invariant Generalized Hough Transform
* Light3DPose: Real-time Multi-Person 3D Pose Estimation from Multiple Views
* LightAUNet: A Lightweight Fusing Attention Based UNet for Crack Detection
* Lightcam: Enlightening the Camera Obscura - Where Photogrammetry, Computer and Robotic Vision Meet
* LightDepth: Single-View Depth Self-Supervision from Illumination Decline
* LightedDepth: Video Depth Estimation in Light of Limited Inference View Angles
* Lightening Network for Low-Light Image Enhancement
* LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement
* Lighter and Faster Cross-Concatenated Multi-Scale Residual Block Based Network for Visual Saliency Prediction
* Lighter and Faster Two-Pathway CMRNet for Video Saliency Prediction
* Lighter but Efficient Bit-Depth Expansion Network
* Lighter the Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning, The
* LighterGAN: An Illumination Enhancement Method for Urban UAV Imagery
* LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic Segmentation Network for Remote Sensing Imagery
* Lightfield completion
* Lightfield Recovery from Its Focal Stack
* LightGBM-based model for metro passenger volume forecasting
* LightGlue: Local Feature Matching at Light Speed
* Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
* Lighting-aware face frontalization for unconstrained face recognition
* Lighting-Aware Segmentation of Microscopy Images for In Vitro Fertilization
* Lighting-driven voxels for memory-efficient computation of indirect illumination
* Lighting-Invariant Point Processor for Shading, A
* Lighting and Pose Robust Face Sketch Synthesis
* Lighting and Shadow Interpolation Using Intrinsic Lumigraphs
* Lighting Aware Preprocessing for Face Recognition across Varying Illumination
* Lighting Condition Adaptation for Perceived Age Estimation
* Lighting Consistency Technique for Outdoor Augmented Reality Systems Based on Multi-Source Geo-Information, A
* Lighting design for machine vision application
* Lighting design for portraits with a virtual light stage
* Lighting direction affects recognition of untextured faces in photographic positive and negative
* Lighting Direction Estimation in Perspective Shape from Shading by Genetic Algorithm
* Lighting Effects, View Generation, Graphics Issues
* Lighting Estimation in Indoor Environments from Low-Quality Images
* Lighting Estimation in Outdoor Image Collections
* Lighting estimation of a convex Lambertian object using weighted spherical harmonic frames
* Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising
* Lighting Independent Skin Tone Detection Using Neural Networks
* Lighting Normalisation for Face Recognition
* Lighting Normalization with Generic Intrinsic Illumination Subspace for Face Recognition
* lighting robust fitting approach of 3D morphable model for face reconstruction, A
* Lighting Robust Fitting Approach of 3D Morphable Model Using Spherical Harmonic Illumination, A
* Lighting Sensitive Display
* Lighting Synthetic Objects in Image-based Environments
* Lighting up NeRF via Unsupervised Decomposition and Enhancement
* Lightless Fields: Enhancement and Denoising of Light-deficient Light Fields
* lightness-aware loss for low-light image enhancement, A
* Lightness and Retinex Theory
* Lightness constancy and its link with cone contrast
* Lightness Constancy from Luminance Contrast
* Lightness Constancy: Connectionist Architecture for Controlling Sensitivity
* Lightness Determination at Curved Surfaces with Applications to Dynamic-Range Compression and Model-Based Coding of Facial Images
* Lightness illusion: A new look from Compressive Sensing perspective
* lightness recovery algorithm for the multispectral acquisition of frescoed environments, A
* Lightness Recovery for Pictorial Surfaces
* Lightness Scale from Image Intensity Distributions, A
* LightNet: Generative Model for Enhancement of Low-Light Images
* Lightning-Fast Dual-Layer Lossless Coding for Radiance Format High Dynamic Range Images
* Lightning Activity Observed by the FengYun-4A Lightning Mapping Imager
* Lightning Classification Method Based on Convolutional Encoding Features, A
* Lightning Detection and Imaging Based on VHF Radar Interferometry
* Lightning Detection, Analysis
* Lightning Distance Estimation Using LF Lightning Radio Signals via Analytical and Machine-Learned Models
* Lightning Interferometry with the Long Wavelength Array
* Lightning Location System Detections as Evidence: A Unique Bayesian Framework
* Lightning Stroke Strength and Its Correlation with Cloud Macro- and Microphysics over the Tibetan Plateau
* LightPainter: Interactive Portrait Relighting with Freehand Scribble
* LightQNet: Lightweight Deep Face Quality Assessment for Risk-Controlled Face Recognition
* Lights and Camera: Intelligently Controlled Multi-channel Pose Estimation System
* Lights: A Study in Motion
* Lights: A System for the Interpretation of Moving Light Displays
* Lights: Light Specularity Dataset for Specular Detection In Multi-View
* LightShop: An Interactive Lighting System Incorporating the 2D Image Editing Paradigm
* LightSpeed: A Compact, High-Speed Optical-Link-Based 3D Optoacoustic Imager
* Lightsphere: Fast Lighting Compensation for Matching a 2D Image to a 3D Model
* LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
* LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search
* Lightweight-VGG: A Fast Deep Learning Architecture Based on Dimensionality Reduction and Nonlinear Enhancement for Hyperspectral Image Classification
* Lightweight 2D Imaging for Integrated Imaging and Communication Applications
* Lightweight 3D hand pose estimation by cascading CNNs with reinforcement learning
* Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning
* Lightweight 3D Modeling of Urban Buildings from Range Data
* Lightweight Adaptive Weighted Network for Single Image Super-Resolution
* Lightweight Alpha Matting Network Using Distillation-based Channel Pruning
* Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution
* Lightweight and computationally faster Hypermetropic Convolutional Neural Network for small size object detection
* Lightweight and Deep Appearance Embedding for Multiple Object Tracking
* Lightweight and Detector-Free 3D Single Object Tracker on Point Clouds, A
* Lightweight and Effective Convolutional Neural Networks for Vehicle Viewpoint Estimation From Monocular Images
* Lightweight and Effective Deep Image Steganalysis Network
* Lightweight and Effective Facial Landmark Detection using Adversarial Learning with Face Geometric Map Generative Network
* Lightweight and Efficient Infrared Pedestrian Semantic Segmentation Method, A
* Lightweight and Fast Low-Light Image Enhancement Method Based on PoolFormer
* Lightweight and High-Accuracy Deep Learning Method for Grassland Grazing Livestock Detection Using UAV Imagery, A
* Lightweight and Progressively-Scalable Networks for Semantic Segmentation
* Lightweight and Robust Lie Group-Convolutional Neural Networks Joint Representation for Remote Sensing Scene Classification, A
* Lightweight and Robust Shadow Removal for Foreground Detection
* lightweight and stochastic depth residual attention network for remote sensing scene classification, A
* Lightweight Approach for Building User Mobility Profiles, A
* Lightweight Approach for On-the-Fly Reflectance Estimation, A
* lightweight approach to repairing digitized polygon meshes, A
* Lightweight Arbitrarily Oriented Detector Based on Transformers and Deformable Features for Ship Detection in SAR Images, A
* Lightweight Asymmetric Convolutional Distillation Network for Single Image Super-Resolution
* Lightweight attention-guided redundancy-reuse network for real-time semantic segmentation
* Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval
* Lightweight Authentication for MP4 Format Container Using Subtitle Track
* Lightweight Authentication Scheme for 6G-IoT Enabled Maritime Transport System, A
* Lightweight Block With Information Flow Enhancement for Convolutional Neural Networks, A
* Lightweight boundary refinement module based on point supervision for semantic segmentation
* Lightweight Building Extraction Approach for Contour Recovery in Complex Urban Environments, A
* lightweight bus passenger detection model based on YOLOv5, A
* Lightweight Camera Head for Robotic-Based Binocular Stereo Vision: An Integrated Engineering Approach
* lightweight capsule network architecture for detection of COVID-19 from lung CT scans, A
* Lightweight cascade framework for optic disc segmentation
* Lightweight CNN-Based in-Loop Filter for VVC Intra Coding
* Lightweight CNN-Conformer Model for Automatic Speaker Verification, A
* Lightweight Color Image Demosaicking with Multi-Core Feature Extraction
* Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift
* Lightweight Conditional Privacy-Preservation Protocol for Vehicular Traffic-Monitoring Systems, A
* Lightweight Connectivity In Graph Convolutional Networks for Skeleton-Based Recognition
* Lightweight Contextual Arithmetic Coder for On-Board Remote Sensing Data Compression, A
* Lightweight Convolutional Neural Network Based on Channel Multi-Group Fusion for Remote Sensing Scene Classification, A
* Lightweight Convolutional Neural Network Based on Group-Wise Hybrid Attention for Remote Sensing Scene Classification, A
* Lightweight Convolutional Neural Network Based on Hierarchical-Wise Convolution Fusion for Remote-Sensing Scene Image Classification, A
* Lightweight Convolutional Neural Network for Hyperspectral Image Classification, A
* Lightweight convolutional neural networks for player detection and classification
* Lightweight CUDA-Based Parallel Map Reprojection Method for Raster Datasets of Continental to Global Extent, A
* Lightweight DCT-Like Domain Forensics Model for Adversarial Example
* Lightweight Deep CNN for Natural Image Matting via Similarity-Preserving Knowledge Distillation
* Lightweight Deep Deblurring Model with Discriminative Multi-Scale Feature Fusion
* lightweight deep learning model for real-time face recognition, A
* lightweight deep learning model for retinal optical coherence tomography image classification, A
* Lightweight Deep Learning Pipeline for Detection, Segmentation and Classification of Breast Cancer Anomalies
* Lightweight Deep Neural Network for Real-Time Visual Tracking with Mutual Learning
* Lightweight Deep Neural Networks for Ship Target Detection in SAR Imagery
* Lightweight Deep Residue Learning for Joint Color Image Demosaicking and Denoising
* Lightweight Deep Symmetric Positive Definite Manifold Network for Real-Time 3D Hand Gesture Recognition
* Lightweight Depth Estimation Network for Wide-Baseline Light Fields, A
* Lightweight Detection Model for SAR Aircraft in a Complex Environment, A
* Lightweight detection network based on receptive-field feature enhancement convolution and three dimensions attention for images captured by UAVs
* Lightweight Detection of Additive Watermarking in the DWT-Domain
* Lightweight Discriminative Tracker Based on Classification and Similarity, A
* Lightweight Distortion-Aware Network for Salient Object Detection in Omnidirectional Images
* Lightweight Dual-Branch Swin Transfomrer for Remote Sensing Scene Classification, A
* Lightweight Dual-Domain Network for Real-Time Medical Image Segmentation
* Lightweight dynamic conditional GAN with pyramid attention for text-to-image synthesis
* Lightweight Encryption Method Suitable For Copyright Protection, A
* lightweight face detector by integrating the convolutional neural network with the image pyramid, A
* Lightweight Face Recognition Challenge
* Lightweight Face Tracking System for Video Surveillance, A
* Lightweight Feature Fusion Network for Single Image Super-Resolution
* Lightweight feature point detection network with channel enhancement
* Lightweight forensic video watermarking to enable premium content consumption on mobile devices
* Lightweight Fully Convolutional Neural Network for SAR Automatic Target Recognition, A
* Lightweight Genetic Block Matching Algorithm for Video Coding, A
* Lightweight Hybrid Representation for Virtual Complex Scenes, A
* Lightweight Hyperspectral Image Anomaly Detector for Real-Time Mission, A
* Lightweight Hyperspectral Image Reconstruction Network with Deep Feature Hallucination
* Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles, A
* Lightweight image denoising network with four-channel interaction transform
* Lightweight Image Hashing Based on Knowledge Distillation and Optimal Transport for Face Retrieval
* Lightweight image matting algorithm based on deep learning
* Lightweight Image Matting via Efficient Non-local Guidance
* lightweight image splicing tampering localization method based on MobileNetV2 and SRM, A
* Lightweight Image Super-Resolution Reconstruction With Hierarchical Feature-Driven Network
* Lightweight image super-resolution with a feature-refined network
* Lightweight Image Super-Resolution With Expectation-Maximization Attention Mechanism
* Lightweight Image Super-Resolution with Superpixel Token Interaction
* Lightweight implementation of No-Reference (NR) perceptual quality assessment of H.264/AVC compression
* Lightweight Integrated Solution for a UAV-Borne Hyperspectral Imaging System
* Lightweight Keypoint-Based Oriented Object Detection of Remote Sensing Images, A
* Lightweight Landslide Detection Network for Emergency Scenarios
* Lightweight lane line detection based on learnable cluster segmentation with self-attention mechanism
* Lightweight Library for Augmented Reality Applications, A
* lightweight license plate detection algorithm based on deep learning, A
* Lightweight LiDAR-Camera Sensing Method of Obstacles Detection and Classification for Autonomous Rail Rapid Transit, A
* Lightweight Local-global Attention Network for Single Image Super-resolution, A
* Lightweight Long-Term Vehicular Motion Prediction Method Leveraging Spatial Database and Kinematic Trajectory Data, A
* Lightweight Lossy Compression of Biometric Patterns via Denoising Autoencoders
* Lightweight Low-Resolution Face Recognition for Surveillance Applications
* Lightweight Mamdani Fuzzy Controller for Noise Removal on Iris Images, A
* Lightweight Man-Overboard Detection and Tracking Model Using Aerial Images for Maritime Search and Rescue, A
* lightweight method for face expression recognition based on improved MobileNetV3, A
* lightweight methodology of 3D printed objects utilizing multi-scale porous structures, A
* Lightweight mobile object recognition
* Lightweight Mobile System for Crop Disease Diagnosis, A
* lightweight model for blade tip image enhancement in helicopter rotor motion parameter measurement system, A
* Lightweight Model for Satellite Pose Estimation, A
* Lightweight Model for Ship Detection and Recognition in Complex-Scene SAR Images, A
* Lightweight Model for Wheat Ear Fusarium Head Blight Detection Based on RGB Images, A
* Lightweight Modules for Efficient Deep Learning Based Image Restoration
* Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter Pruning
* Lightweight Monocular Depth with a Novel Neural Architecture Search Method
* Lightweight Monocular Obstacle Avoidance by Salient Feature Fusion
* Lightweight Multi-Branch Network for Person Re-Identification
* Lightweight Multi-level Information Fusion Network for Facial Expression Recognition
* Lightweight Multi-Level Information Network for Multispectral and Hyperspectral Image Fusion, A
* Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras
* lightweight multi-scale aggregated model for detecting aerial images captured by UAVs, A
* Lightweight multi-scale attention-guided network for real-time semantic segmentation
* Lightweight Multi-Scale Context Network for Salient Object Detection in Optical Remote Sensing Images, A
* Lightweight multi-scale convolutional neural network for real time stereo matching
* Lightweight Multi-View-Group Neural Network for 3D Shape Classification
* Lightweight Multi-View 3D Pose Estimation Through Camera-Disentangled Representation
* Lightweight Multiattention Recursive Residual CNN-Based In-Loop Filter Driven by Neuron Diversity
* Lightweight Multilevel Feature-Fusion Network for Built-Up Area Mapping from Gaofen-2 Satellite Images
* Lightweight Multilevel Feature Fusion Network for Hyperspectral Image Classification
* Lightweight Multimechanism Deep Feature Enhancement Network for Infrared Small-Target Detection
* lightweight multiview tracked person descriptor for camera sensor networks, A
* Lightweight Network Based on One-Level Feature for Ship Detection in SAR Images, A
* Lightweight Network for High Dynamic Range Imaging, A
* lightweight network for monocular depth estimation with decoupled body and edge supervision, A
* lightweight network for smoke semantic segmentation, A
* Lightweight Network For Video Motion Magnification
* Lightweight Network Model For Video Frame Interpolation Using Spatial Pyramids, A
* lightweight network of near cotton-coloured impurity detection method in raw cotton based on weighted feature fusion, A
* Lightweight Network to Learn Optical Flow from Event Data, A
* Lightweight Network Towards Real-Time Image Denoising On Mobile Devices
* Lightweight Network with Multi-Stage Feature Fusion Module for Single-View 3d Face Reconstruction, A
* Lightweight Neural Network For Crowd Analysis Of Images With Congested Scenes, A
* Lightweight Neural Network for Enhancing Imaging Performance of Under-Display Camera
* Lightweight Neural Network for Monocular View Generation With Occlusion Handling, A
* Lightweight Neural Networks From PCA LDA Based Distilled Dense Neural Networks
* Lightweight Object Detection Framework for Remote Sensing Images, A
* Lightweight Object Detection Method in Aerial Images Based on Dense Feature Fusion Path Aggregation Network, A
* Lightweight Object Detector Based on Spatial-Coordinate Self-Attention for UAV Aerial Images, A
* Lightweight Optical Flow CNN: Revisiting Data Fidelity and Regularization, A
* Lightweight People Counting and Localizing in Indoor Spaces Using Camera Sensor Nodes
* Lightweight Photometric Stereo for Facial Details Recovery
* Lightweight Pixel Difference Networks for Efficient Visual Representation Learning
* Lightweight Position-Enhanced Anchor-Free Algorithm for SAR Ship Detection, A
* Lightweight Privacy-Preserving System for the Security of Remote Sensing Images on IoT, A
* Lightweight Probabilistic Deep Networks
* Lightweight Probabilistic Texture Retrieval
* Lightweight Protection of Visual Data Using High-Dimensional Wavelet Parametrization
* Lightweight Radar Ship Detection Framework with Hybrid Attentions, A
* Lightweight Random Ferns using binary representation
* Lightweight real-time error-resilient encoding of visual sensor data
* Lightweight Real-Time Image Super-Resolution Network for 4K Images
* Lightweight Real-Time Semantic Segmentation Network with Efficient Transformer and CNN
* Lightweight Relu-Based Feature Fusion for Aerial Scene Classification, A
* Lightweight Remote Sensing Aircraft Object Detection Network Based on Improved YOLOv5n, A
* Lightweight Salient Object Detection via Hierarchical Visual Perception Learning
* Lightweight SAR Image Ship Detection Method Based on Improved Convolution and YOLOv7, A
* Lightweight SAR: A Two-Bit Strategy
* Lightweight SCTP for Partially Reliable Overlay Video Multicast Service for Mobile Terminals, A
* Lightweight searchable screen video recording
* Lightweight Self-Supervised Representation Learning Algorithm for Scene Classification in Spaceborne SAR and Optical Images, A
* Lightweight Semantic Architecture Modeling by 3D Feature Line Detection
* Lightweight Semi-supervised Network for Single Image Rain Removal
* Lightweight Siamese Neural Network for Building Change Detection Using Remote Sensing Images, A
* Lightweight Single-Camera Polarization Compass with Covariance Estimation, A
* Lightweight Single-image Super-resolution Network with Attentive Auxiliary Feature Learning
* Lightweight single image deraining algorithm incorporating visual saliency
* Lightweight Skeleton-Based 3D-CNN for Real-Time Fall Detection and Action Recognition, A
* Lightweight Social Computing Approach to Emergency Management Policy Selection, A
* Lightweight Spatial and Temporal Multi-Feature Fusion Network for Defect Detection, A
* Lightweight Spatial Attention Module with Adaptive Receptive Fields in 3d Convolutional Neural Network for Alzheimer's Disease Classification, A
* Lightweight Speaker Recognition in Poincaré Spaces
* Lightweight Spectral-Spatial Feature Extraction and Fusion Network for Hyperspectral Image Classification, A
* Lightweight Spectral-Spatial Squeeze-and-Excitation Residual Bag-of-Features Learning for Hyperspectral Classification
* Lightweight Super Resolution
* Lightweight target detection algorithm based on improved YOLOv4
* Lightweight Tensor Deep Computation Model With Its Application in Intelligent Transportation Systems
* Lightweight Text-Driven Image Editing With Disentangled Content and Attributes
* Lightweight Texture Correlation Network for Pose Guided Person Image Generation
* Lightweight Trustworthy Message Exchange in Unmanned Aerial Vehicle Networks
* Lightweight UAV with on-board photogrammetry and single-frequency GPS positioning for metrology applications
* Lightweight Underwater Object Detection Based on YOLO v4 and Multi-Scale Attentional Feature Fusion
* lightweight unsupervised adversarial detector based on autoencoder and isolation forest, A
* Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction
* Lightweight Video-Based Respiration Rate Detection Algorithm: An Application Case on Intensive Care
* Lightweight Video Denoising using Aggregated Shifted Window Attention
* Lightweight Vision Transformer with Spatial and Channel Enhanced Self-Attention
* Lightweight Vision Transformers for Face Verification in the Wild
* Lightweight Voice Spoofing Detection Using Improved One-Class Learning and Knowledge Distillation
* Lightweight Wavelet-Based Network for JPEG Artifacts Removal
* Lightweight Whole-Body Human Pose Estimation With Two-Stage Refinement Training Strategy
* Lightweight YOLOv5 Model Integrating GhostNet and Attention Mechanism, A
* LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation
* Like Father, Like Son: Facial Expression Dynamics for Kinship Verification
* Like
* Likelihood-Based Adaptive Learning in Stochastic State-Based Models
* Likelihood-Based Background Model for Real Time Processing of Color Filter Array Videos, A
* Likelihood-Based Diverse Sampling for Trajectory Forecasting
* Likelihood-Based Hypothesis Tests for Brain Activation Detection From MRI Data Disturbed by Colored Noise: A Simulation Study
* Likelihood-based object detection and object tracking using color histograms and EM
* Likelihood-based texture discrimination with multiscale stochastic models
* Likelihood-enhanced Bayesian constrained local models
* Likelihood-Field-Model-Based Dynamic Vehicle Detection and Tracking for Self-Driving
* Likelihood-free Bayesian inference framework for sizing kiwifruit from orchard imaging surveys
* Likelihood-Ratio-Based Biometric Verification
* Likelihood-Ratio-Based Verification in High-Dimensional Spaces
* Likelihood-Ratio Test and Efficient Robust Estimation, The
* Likelihood Calculation for a Class of Multiscale Stochastic-Models, with Application to Texture-Discrimination
* Likelihood Calculation for a Class of Multiscale Stochastic-Models, with Application to Texture-Discrimination: Correction
* Likelihood Function for Block-Based Motion Analysis, A
* Likelihood Functions and Confidence Bounds for Total-Least-Squares Problems
* Likelihood learning in modified Dirichlet Process Mixture Model for video analysis
* Likelihood Map Fusion for Visual Object Tracking
* Likelihood maximization approach to image registration
* Likelihood maximization for list-mode emission tomographic image reconstruction
* Likelihood Models For Template Matching using the PDF Projection Theorem
* Likelihood normalization for face authentication in variable recording conditions
* Likelihood Ratio-Based Biometric Score Fusion
* Likelihood ratio estimation in forensic identification using similarity and rarity
* Likelihood ratio in a SVM framework: Fusing linear and non-linear face classifiers
* Likelihood tuning for particle filter in visual tracking
* Likelihood word image generation model for word recognition
* Likely local shape
* Likely Thermal Evolution of the Irregularly Shaped S-Type Astraea Asteroid, The
* Likert Scoring with Grade Decoupling for Long-term Action Assessment
* LILA-BOTI: Leveraging Isolated Letter Accumulations By Ordering Teacher Insights for Bangla Handwriting Recognition
* LIMAN: Local Information-Based Multiattention Network for 3D Shape Recognition
* Limb-Aware Virtual Try-On Network With Progressive Clothing Warping
* Limb-Based Graphical Model for Human Pose Estimation, A
* Limb Pose Aware Networks for Monocular 3D Pose Estimation
* Limb Sounders Tracking Tsunami-Induced Perturbations from the Stratosphere to the Ionosphere
* LIME-Based Data Selection Method for SAR Images Generation Using GAN
* LIME: Live Intrinsic Material Estimation
* LIME: Low-Light Image Enhancement via Illumination Map Estimation
* Limit cycle behavior of error diffusion
* Limitation of capsule networks
* Limitation of SAR Quasi-Linear Inversion Data on Swell Climate: An Example of Global Crossing Swells
* Limitation of triangles overlapping in mesh-based motion estimation using augmented Lagrangian
* Limitations and Challenges of MODIS-Derived Phenological Metrics Across Different Landscapes in Pan-Arctic Regions
* Limitations and Improvements of the Leaf Optical Properties Model Leaf Incorporating Biochemistry Exhibiting Reflectance and Transmittance Yields (LIBERTY)
* Limitations in Validating Derived Soil Water Content from Thermal/Optical Measurements Using the Simplified Triangle Method
* Limitations of Geometric Hashing in the Presence of Gaussian Noise
* Limitations of Non Model-Based Recognition Schemes
* Limitations of Post-Hoc Feature Alignment for Robustness
* Limitations of Predicting Substrate Classes on a Sedimentary Complex but Morphologically Simple Seabed
* Limitations of Surface-Color and Apparent-Color Constancy
* Limitations of the SSIM quality metric in the context of diagnostic imaging
* Limited-Angle CT Reconstruction via the L_1/L_2 Minimization
* Limited-Memory Belief Propagation via Nested Optimization
* Limited-Memory Receive Filter Design for Massive MIMO Radar in Signal-Dependent Interference
* limited-memory, quasi-Newton preconditioner for nonnegatively constrained image reconstruction, A
* Limited-Range Few-View CT: Using Historical Images for ROI Reconstruction in Solitary Lung Nodules Follow-up Examination
* Limited-Samples-Based Crop Classification Using a Time-Weighted Dynamic Time Warping Method, Sentinel-1 Imagery, and Google Earth Engine
* Limited Angle Tomography Using Volumetric Constraints
* Limited Color Display for Compressed Image and Video
* Limited Effects of Water Absorption on Reducing the Accuracy of Leaf Nitrogen Estimation
* Limited Ego Motion Recovery, Direction or Heading
* Limited Electrodes Models in Electrical Impedance Tomography Reconstruction
* Limited memory switched Broyden method for faster image deblurring
* Limited Sampling Reference Frame for MaskTrack R-CNN
* limited value of cophenetic correlation as a clustering criterion, The
* Limited view CT reconstruction and segmentation via constrained metric labeling
* Limited view CT reconstruction via constrained metric labeling
* Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer
* Limiting Accuracy of Height Measurement for a Precision Radar Altimeter in a Low Altitude Flying Vehicle above the Sea Surface
* Limiting Aspects of Nonconvex TV-phi Models
* Limiting External Absorptivity of UAV-Based Uncooled Thermal Infrared Sensors Increases Water Temperature Measurement Accuracy
* Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
* Limiting the Search Range of Correlation Stereo Using Silhouettes
* LIMITR: Leveraging Local Information for Medical Image-Text Representation
* Limits of Accuracy for Parameter Estimation and Localization in Single-Molecule Microscopy via Sequential Monte Carlo Methods
* Limits of brightness and color distortions based on subjective evaluation of stereoscopic images
* Limits of Colour Perception in the Context of Minimum Dimensions in Digital Cartography
* Limits of fluidification for a stochastic Petri nets by timed continuous Petri nets
* Limits of GIS Implementation in Education: A Systematic Review, The
* Limits of Learning-Based Superresolution Algorithms
* Limits of Motion-Background Segmentation Using Fundamental Matrix Estimation
* Limits of Predictability for Large-Scale Urban Vehicular Mobility
* Limits on Super-Resolution and How to Break Them
* Limits on the accuracy of 3-D thickness measurement in magnetic resonance images- Effects of voxel anisotropy
* Limits on the Application of Frequency-Based Language Models to OCR
* Limits on the Majority Vote Accuracy in Classifier Fusion
* LIMOFilling: Local Information Guide Hole-Filling and Sharp Feature Recovery for Manifold Meshes
* LIMP: Learning Latent Shape Representations with Metric Preservation Priors
* LIMSI handwriting recognition system for the HTRtS 2014 contest, The
* LIMSI RT07 Lecture Transcription System, The
* Lincoln Laboratory Journal
* line- and block-like structures extraction via ingenious snake, The
* Line-Adaptive Hybrid Coding of Images
* Line-based 3d Roof Model Reconstruction Algorithm: Tin-Merging and Reshaping (TMR), A
* Line-Based Affine Invariant Object Location Using Transformation Space Decomposition
* Line-based Classification of Terrestrial Laser Scanning Data using Conditional Random Field
* Line-Based Computation of Structure and Motion Using Angular Invariance
* Line-Based Correction of Radial Lens Distortion
* Line-Based Face Recognition under Varying Pose
* Line-based global descriptor for omnidirectional vision
* Line-based initialization method for mobile augmented reality in aircraft assembly
* Line-Based Intra Prediction for Next-Generation Video Coding
* Line-Based Modified Iterated Hough Transform for Autonomous Single-Photo Resection
* Line-based Multi-image Matching For Façade Reconstruction
* Line-based Multi-Label Energy Optimization for fisheye image rectification and calibration
* Line-based object recognition using Hausdorff distance: From Range Images to Molecular Secondary Structures
* line-based progressive refinement of 3D rooftop models using airborne LiDAR data with single view imagery, A
* Line-Based Recognition Using a Multidimensional Hausdorff Distance
* Line-Based Referencing between Images and Laser Scanner Data for Image-Based Point Cloud Interpretation in a CAD-Environment
* Line-Based Registration of DSM and Hyperspectral Images
* Line-Based Registration of Terrestrial and Airborne LIDAR Data
* Line-based relative pose estimation
* line-based representation for matching words in historical manuscripts, A
* Line-Based SLAM Using Non-Overlapping Cameras in an Urban Environment
* Line-Based Structural Matching Via Segment Splitting
* Line-Based Structure from Motion for Urban Environments
* Line-based visual odometry using local gradient fitting
* Line-Based, Reduced Memory, Wavelet Image Compression
* Line-by-Line Fast Anomaly Detector for Hyperspectral Imagery, A
* Line-CNN: End-to-End Traffic Line Detection with Line Proposal Unit
* Line-Constrained Shape Feature for Building Change Detection in VHR Remote Sensing Imagery
* Line-Direction-Free and Character-Orientation-Free On-Line Handwritten Japanese Text Recognition System, A
* Line-Drawing Interpretation: A Mathematical Framework
* Line-Drawing Interpretation: Bilateral Symmetry
* Line-Drawing Interpretation: Straight Lines and Conic Sections
* Line-edge extraction based on E-spline acquisition model and a fast optimization algorithm
* Line-Images in Cone Mirror Catadioptric Systems
* Line-Integration Based Method for Depth Recovery from Surface Normals, A
* Line-Oriented Approach to Word Spotting in Handwritten Documents, A
* Line-Scan Computer Vision Algorithm for Identifying Human Body Features, A
* Line-Stepping for Shell Meshes
* line-structure-preserving approach to image resizing, A
* Line-sweep: Cross-ratio for wide-baseline matching and 3D reconstruction
* Line and Boundary Detection in Speckle Images
* Line and cell searching in tables or forms
* Line and edge detection by symmetry filters
* Line and Polygon Clipping Techniques on Natural Images: A Mathematical Solution and Performance Evaluation
* Line Art Colorization with Concatenated Spatial Attention
* Line Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization
* Line Assisted Light Field Triangulation and Stereo Matching
* line based approach for three-dimensionalizing urban surveillance networks, A
* Line Based Matching for Pose Estimation
* Line based Matching of Uncertain 3D Building Models with IR Image Sequences for Precise Texture Extraction
* Line based motion estimation and reconstruction of piece-wise planar scenes
* Line Based Orientation of Aerial Images
* line based pose representation for human action recognition, A
* Line Based Trinocular Stereo
* Line cluster detection using a variant of the Hough transform for culture row localisation
* Line clustering with vanishing point and vanishing line
* Line Connectivity Algorithms for an Asynchronous Pyramid Computer
* Line Correspondences from Cooperating Spatial and Temporal Grouping Processes for a Sequence of Images
* Line Detection Algorithm for Road Remarking, A
* Line detection and segmentation in historical church registers
* Line Detection and Texture Characterization of Network Patterns
* Line Detection as an Inverse Problem: Application to Lung Ultrasound Imaging
* Line Detection By Local Methods
* Line Detection by Spherical Gradient
* Line detection discrete scale-space
* Line Detection Filters
* Line Detection in Digital Pictures: A Hypothesis Prediction/Verification Paradigm
* Line detection in images showing significant lens distortion and application to distortion correction
* Line Detection in Images Through Regularized Hough Transform
* Line Detection in Noisy and Structured Backgrounds Using Graeco-Latin Squares
* Line Detection in Satellite Imagery
* Line Detection Using an Optimal IIR Filter
* Line Detectors, Direct Detection of Straight Lines
* Line Drawing Analysis, Wireframes
* Line Drawing Editor: Schematic Diagram Editing Using Pattern Recognition Technique, The
* Line drawing interpretation in a multi-view context
* Line Drawing Interpretation Using Belief Propagation
* Line Drawing Interpretation Using Probabilistic Relaxation
* Line Drawing Interpretation
* line drawings degradation model for performance characterization, A
* Line Drawings for Face Portraits From Photos Using Global and Local Structure Based GANs
* Line Drawings from 3D Models: A Tutorial
* Line Drawings of Octree-Represented Objects
* Line Enhancement and Completion via Linear Left Invariant Scale Spaces on SE(2)
* Line Extraction and Pattern Detection in a Photograph
* Line Extraction from Mechanically Scanned Imaging Sonar
* Line extraction in uncalibrated central images with revolution symmetry
* Line Extraction Method for Automated SEM Inspection of VLSI Resist, A
* Line Extraction with Composite Background Subtract
* Line Extraction with the Use of an Automatic Gradient Threshold Technique and the Hough Transform
* Line Feature-Based Recognition Using Hausdorff Distance
* Line Feature Correspondence between Object Space and Image Space
* Line Feature Matching Technique Based on an Eigenvector Approach, A
* Line Finding with Subpixel Precision
* Line Fitting in a Noisy Image
* Line follower
* Line Geometry and Camera Autocalibration
* Line Geometry for 3D Shape Understanding and Reconstruction
* Line Graph-Based Continuous Range Query Method for Moving Objects in Networks, A
* Line graph contrastive learning for link prediction
* Line Graph Neural Networks for Link Prediction
* Line Image Vectorization Based on Shape Partitioning and Merging
* Line Integral Alternating Minimization Algorithm for Dual-Energy X-Ray CT Image Reconstruction
* Line Labeling and Junction Labeling: A Coupled System for Image Interpretation
* Line Labeling And Region-Segmentation In Stereo Image Pairs
* Line Labeling Techniques
* Line Localization from Single Catadioptric Images
* Line Matching across Catadioptric Images
* Line Matching Algorithm for Aerial Image Combining image and object space similarity constraints
* Line Matching and Pose Estimation for Unconstrained Model-to-Image Alignment
* Line matching based on line-points invariant and local homography
* Line matching based on planar homography for stereo aerial images
* Line Matching in Wide-Baseline Stereo: A Top-Down Approach
* Line matching leveraged by point correspondences
* Line Matching Using Appearance Similarities and Geometric Constraints
* Line Matching: Solutions and Unsolved Problems
* Line meets as-projective-as-possible image stitching with moving DLT
* Line moments and invariants for real time processing of vectorized contour data
* Line Net Global Vectorization: An Algorithm and its Performance Evaluation
* Line of Curvature Constraint and the Interpretation of 3-D Shape from Parallel Surface Contours, The
* Line of Sight Robot Navigation Toward a Moving Goal
* Line Orientation Operator
* Line Pattern Retrieval Using Relational Histograms
* Line Printer Modification for Better Gray Level Pictures
* Line Rasterization Algorithms That Satisfy the Subset Line Property
* Line Recognition
* Line reconstruction from many perspective images by factorization
* Line reconstruction using prior knowledge in single non-central view
* Line Removal and Restoration of Handwritten Characters on the Form Documents
* Line representation of elongated shapes
* Line scan area signature detection method
* Line Scan Hyperspectral Imaging Framework for Open Source Low-Cost Platforms
* Line Scratch Detection on Digital Images: An Energy Based Model
* Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer
* Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow
* Line Search Multilevel Truncated Newton Algorithm for Computing the Optical Flow, A
* Line Segment-Based Axial Motion Stereo
* Line segment attribute recognition device having accuracy updating function
* Line Segment Based Approach for 3D Motion Estimation and Tracking of Multiple Objects
* Line Segment Based Scan Matching for Concurrent Mapping and Localization of a Mobile Robot
* Line Segment Based Stereo Analysis, Line Matching
* Line Segment Based Watershed Segmentation
* Line segment confidence region-based string matching method for map conflation
* Line Segment Curve-Fitting Algorithm Related to Optimal Encoding of Information, A
* Line Segment Detection Algorithm
* Line Segment Detection Based on False Peak Suppression and Local Hough Transform and Application to Nuclear Emulsion
* Line Segment Detection Using Transformers without Edges
* Line Segment Detection with Hough Transform Based on Minimum Entropy
* Line Segment Detection: a Review of the 2022 State of the Art
* Line segment detector
* Line segment extraction for large scale unorganized point clouds
* Line Segment Extraction in Panoramic Images
* Line segment Hausdorff distance on face matching
* line segment match method for extracting road network from high-resolution satellite images, The
* Line Segment Matching Algorithm Based on Feature Grouping and LBD Descriptor
* Line segment matching and reconstruction via exploiting coplanar cues
* Line Segment Matching for 3D Computer Vision Using a New Iteration Scheme
* Line segment matching: A benchmark
* Line Segment Ribbons and Their Grouping
* line segment table: a fast region description algorithm, The
* Line Segmentation for Degraded Handwritten Historical Documents
* Line Segmentation for Grayscale Text Images of Khmer Palm Leaf Manuscripts
* Line Segmentation Free Probabilistic Keyword Spotting and Indexing
* Line separation for complex document images using fuzzy runlength
* Line Skeleton, The
* Line Smoothing Method of Hand-Drawn Strokes Using Adaptive Moving Average for Illustration Tracing Tasks, A
* Line structure extraction from line-drawing images
* Line Structured-Light Vision Sensor Calibration Based on Multi-Tooth Free-Moving Target and Its Application in Railway Fields
* Line Sweep Thinning Algorithm For Feature Analysis
* Line Symmetry of Convex Digital Regions
* Line Thinning by Line Following
* Line Vectorization, Document Analysis
* Line Voronoi Diagrams Using Elliptical Distances
* LINe: Out-of-Distribution Detection by Leveraging Important Neurons
* Line3D: Efficient 3D Scene Abstraction for the Built Environment
* Lineal Feature Detection Using Multiresolution Wavelet Filters
* Lineament Extraction from Digital Terrain Derivate Model: A Case Study in the Giron-Santa Isabel Basin, South Ecuador
* Lineament Extraction from SPOT 5 and NigeriaSat-X Imagery of the Upper Benue Trough, Nigeria
* Linear-Algebraic Technique with an Application in Semantic Image Retrieval, A
* Linear-Based Incremental Co-Registration of MLS and Photogrammetric Point Clouds
* linear-complexity reparameterisation strategy for the hierarchical bootstrapping of capabilities within perception-action architectures, A
* Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation
* Linear-Filtering of Images Based on Properties of Vision
* Linear-nonlinear neuronal model for shape from shading
* Linear-phase Paraunitary Filter Banks with Unequal Length
* Linear-Programming Fitting of Implicit Polynomials
* Linear-quadratic blind source separating structure for removing show-through in scanned documents
* Linear-Quadratic Mixing Model for Reflectances in Urban Environments
* Linear-quadratic noise-smoothing filters for quantum-limited images
* Linear-Time Algorithm for Solving the Strong Hidden-Line Problem in a Simple Polygon, A
* Linear-time Algorithm for the Generation of Random Digital Curves, A
* Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field
* Linear-time algorithms for testing the realisability of line drawings of curved objects
* Linear-Time Approach for Image Segmentation Using Graph-Cut Measures, A
* linear-time component-labeling algorithm using contour tracing technique, A
* Linear-time connected-component labeling based on sequential local operations
* Linear-Time Euclidean Distance Transform Algorithms
* Linear-time online action detection from 3D skeletal data using bags of gesturelets
* Linear-time prediction mode reduction method for intracoding in H.264/AVC
* Linear-Time Two-Scan Labeling Algorithm, A
* Linear 3D Elastic Segmentation Model for Vector Fields. Application to the Heart Segmentation in MRI, A
* Linear 3D LMS Motion Estimation
* Linear adaptive infrared image fusion
* Linear adaptive search range model for uni-prediction and motion analysis for bi-prediction in HEVC
* Linear Algorithm and Hexagonal Search Based Two-Pass Algorithm for Motion Estimation
* Linear Algorithm for Camera Self-Calibration, Motion and Structure Recovery for Multi-Planar Scenes from Two Perspective Images, A
* Linear Algorithm for Computing the Homography from Conics in Correspondence, A
* Linear Algorithm for Computing the Phase Portraits of Oriented Textures, A
* linear algorithm for computing the visibility polygon from a point, A
* Linear Algorithm for Finding the Convex Hull of a Simple Polygon, A
* Linear Algorithm for Motion Estimation Using Straight Line Correspondences, A
* Linear Algorithm for Motion from Three Weak Perspective Images Using Euler Angles
* linear algorithm for optimal context clustering with application to bi-level image coding, A
* Linear Algorithm for Point and Line-Based Structure from Motion, A
* Linear Algorithm for Polygonal Approximations of Thick Curves, A
* Linear Algorithm for Polygonal Representations of Digital Sets, A
* Linear Algorithm for Segmentation of Digital Curves, A
* Linear Algorithms for Multi-Frame Structure from Constrained Motion
* Linear Algorithms for Object Pose Estimation
* Linear and Bilinear Subspace Methods for Structure from Motion
* Linear and Deep Order-Preserving Wasserstein Discriminant Analysis
* Linear and Incremental Acquisition of Invariant Shape Models from Image Sequences
* Linear and non-linear geometric object matching with implicit representation
* Linear and non-linear model for statistical localization of landmarks
* Linear and Non-Linear Models for Monocular 3D Motion Capture
* Linear and Non-Linear Models for Remotely-Sensed Hyperspectral Image Visualization
* Linear and Non-Linear Multimodal Fusion for Continuous Affect Estimation In-the-Wild
* Linear and Non-Linear Trends for Seasonal NO2 and SO2 Concentrations in the Southern Hemisphere (2004-2016)
* Linear and Non-Linear Vegetation Trend Analysis throughout Iran Using Two Decades of MODIS NDVI Imagery
* Linear and Nonlinear Characteristics of Long-Term NDVI Using Trend Analysis: A Case Study of Lancang-Mekong River Basin
* Linear and nonlinear dimensionality reduction for face recognition
* Linear and Nonlinear Elastic Modulus Imaging: An Application to Breast Cancer Diagnosis
* Linear and Nonlinear Estimators for One- and Two-Dimensional Fourier Transforms
* Linear and Nonlinear Filters for Clutter Cancellation in Radar Systems
* Linear and nonlinear mapping of patterns
* Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images
* Linear and nonlinear transparency in binocular vision
* Linear and Quadratic Subsets for Template-Based Tracking
* Linear and Weakly Nonlinear Stability Analyses of Cooperative Car-Following Models
* Linear Approach for Initial Recovery of the Exterior Orientation Parameters of Randomly Captured Images by Low-Cost Mobile Mapping Systems
* Linear Approach of 3d Face Shape and Texture Recovery using a 3d Morphable Model, A
* Linear Approach to Absolute Pose Estimation for Light Fields, A
* Linear Approach to Matching Cuboids in RGBD Images, A
* linear approach to motion estimation using generalized camera models, A
* Linear Approaches to Camera Calibration from Sphere Images or Active Intrinsic Calibration Using Vanishing Points
* Linear approximation of mean curvature
* Linear approximations for rate control in video coding
* Linear Approximations of Quantized Thin Lines
* Linear array arrangement using composite right-/left-handed transmission lines for magnetic resonance imaging
* Linear array eye tracker
* Linear Array Processor with Dynamic Frequency Clocking for Image Processing Applications, A
* Linear array processors with multiple access modes memory for real-time image processing
* Linear Augmented Reality Registration
* Linear auto-calibration for ground plane motion
* Linear band detection based on the Euclidean distance transform and a new line segment extraction method
* Linear Binary Tree
* Linear Boundary and Corner Detection Using Limited Number of Sensor Rows
* Linear boundary discriminant analysis
* Linear camera autocalibration with varying parameters
* Linear canonical correlation analysis based ranking approach for facial age estimation
* Linear Chain Markov Model for Detection and Localization of Cells in Early Stage Embryo Development, A
* Linear classifier combination and selection using group sparse regularization and hinge loss
* Linear classifier combination via multiple potential functions
* linear classifier design approach, A
* Linear classifier design in the weight space
* linear classifier for gaussian class conditional distributions with unequal covariance matrices, A
* Linear classifiers by window training and basis exchange
* Linear Classifiers in Perceptron Design
* Linear Clutter Removal from Urban Panoramas
* Linear collaborative discriminant regression classification for face recognition
* Linear color-separable human visual system models for vector error diffusion halftoning
* Linear Color Correction Method for Compressed Images and Videos, A
* Linear color segmentation and its implementation
* Linear colour correction for multiple illumination changes and non-overlapping cameras
* Linear Combination Approximation of Feature for Channel Pruning
* Linear combination of norms in improving approximation of Euclidean norm
* Linear combination of weighted t-cost and chamfering weighted distances
* Linear Combination Representation for Outlier Detection in Motion Tracking
* Linear Complexity Approximate Method for Multi-Target Particle Filter Track before Detect, A
* Linear Complexity Procedure for Labelling Line Drawings of Polyhedral Scenes Using Vanishing Points, A
* Linear Complexity Self-Attention With 3rd Order Polynomials
* linear constrained distance-based discriminant analysis for hyperspectral image classification, A
* Linear constraints for the interpretation of line drawings of curved objects
* Linear Constraints in Two-View Multiple Homography Estimation of Uncalibrated Scenes
* Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations
* Linear convergence rate for the MDM algorithm for the Nearest Point Problem
* Linear Convolution Filter to Reduce Computational Complexity Based on Discrete Hirschman Transform
* Linear Curve Fitting-Based Headline Estimation in Handwritten Words for Indian Scripts
* Linear cyclic pursuit based prediction of personal space violation in surveillance video
* Linear Data Compression of Hyperspectral Images
* Linear Decomposition of Planar Shapes
* Linear Delineation
* Linear Demosaicing Inspired by the Human Visual System
* Linear Dependency Modeling for Classifier Fusion and Feature Combination
* Linear dependency modeling for feature fusion
* Linear Depth Estimation from an Uncalibrated, Monocular Polarisation Image
* Linear Differential Algorithm for Motion Recovery: A Geometric Approach
* Linear Differential Constraints for Photo-Polarimetric Height Estimation
* Linear dimension reduction and Bayes classification with unknown population parameters
* Linear dimension reduction and Bayes classification
* Linear dimensionality reduction by maximizing the Chernoff distance in the transformed space
* Linear Dimensionality Reduction through Eigenvector Selection for Object Recognition
* Linear dimensionality reduction using relevance weighted LDA
* Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion
* Linear Discrete Line Recognition and Reconstruction Based on a Generalized Preimage
* Linear Discriminant-Analysis for Two Classes via Removal of Classification Structure
* Linear discriminant analysis and discriminative log-linear modeling
* Linear Discriminant Analysis Based on L1-Norm Maximization
* Linear discriminant analysis for data with subcluster structure
* linear discriminant analysis framework based on random subspace for face recognition, A
* linear discriminant analysis method based on mutual information maximization, A
* Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks
* Linear Discriminant Analysis of MPF for Face Recognition
* Linear discriminant analysis with generalized kernel constraint for robust image classification
* Linear Discriminant Analysis with Maximum Correntropy Criterion
* Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift
* Linear discriminant multiple kernel learning for multispectral image classification
* Linear discriminant projection embedding based on patches alignment
* Linear Discriminant Regression Classification for Face Recognition
* Linear Discriminants and Image Quality
* Linear discrimination dictionary learning for shape descriptors
* Linear discrimination with symmetrical models
* Linear discriminative image processing operator analysis
* Linear Discriminative Sparsity Preserving Projections for Dimensionality Reduction
* linear discriminator of width, A
* Linear Disentangled Representation Learning for Facial Actions
* Linear Distance Coding for Image Classification
* Linear Dual-Space Approach to 3D Surface Reconstruction from Occluding Contours using Algebraic Surfaces, A
* Linear Dynamic Data Fusion Techniques for Face Orientation Estimation in Smart Camera Networks
* Linear Dynamic Range Reduction of Musical Audio Using an Allpass Filter Chain
* Linear Dynamical System Framework for Salient Motion Detection, A
* linear edge model and its application in lossless image coding, A
* Linear ego-motion recovery algorithm based on quasi-parallax
* Linear Elastic Force Optimization Model for Shape Matching, A
* Linear embeddings in non-rigid structure from motion
* Linear Epipolar Algorithm for Multiframe Orientation
* linear estimation method for 3D pose and facial animation tracking, A
* Linear estimation method for three-dimensional position with affine camera correction
* Linear Estimation of 4-D Illumination Light Field from Diffuse Reflections
* Linear estimator for fractional systems
* Linear Estimator for Network Localization Using Integrated RSS and AOA Measurements, A
* Linear Estimator Optimized for the Structural Similarity Index and its Application to Image Denoising, A
* Linear Euclidean Distance Transform Algorithm Based on the Linear-Time Legendre Transform, A
* Linear Extrinsic Calibration of Kaleidoscopic Imaging System from Single 3D Point, A
* Linear Facial Expression Transfer with Active Appearance Models
* Linear Feature-Based Approach for the Registration of Unmanned Aerial Vehicle Remotely-Sensed Images and Airborne LiDAR Data, A
* Linear Feature Compatibility for Pattern-Matching Relaxation
* Linear Feature Detection and Enhancement in Noisy Images via the Radon Transform
* Linear Feature Detection in Polarimetric SAR Images
* Linear Feature Detection on GPUs
* Linear Feature Extraction and Description
* Linear feature extraction by integrating pairwise and global discriminatory information via sequential forward floating selection and kernel QR factorization with column pivoting
* Linear Feature Extraction for Multiclass Classification Problems Based on Class Mean and Covariance Discriminant Information, A
* Linear Feature Extraction of Buildings from Terrestrial LIDAR Data with Morphological Techniques
* Linear Feature Extraction with 3-D LSB-Snakes
* Linear Feature Extraction with Dynamic Programming and Globally Enforced Least Squares Matching
* Linear Feature Extraction
* Linear Feature Extractors Based on Mutual Information
* Linear Feature Mapping
* Linear feature selection in texture analysis: A PLS based method
* Linear feature selection with applications
* Linear Feature Separation From Topographic Maps Using Energy Density and the Shear Transform
* Linear features extraction in rain forest context from interferometric SAR images by fusion of coherence and amplitude information
* Linear Features Extraction With An Orientation Constrained Probabilistic Hough Transform
* Linear Features for Photogrammetric Restitution and Object Completion
* Linear filter design for CNR enhancement of MR images with multiple interfering features
* Linear filtering and mathematical morphology on an image: A bridge
* Linear Filtering in Image Sequences
* Linear Filtering Models for Texture Classification and Segmentation
* Linear filtering of spatially invariant image sequences for feature separation and compression under three types of image noise
* Linear filters for deconvolution microscopy
* Linear Fitting with Missing Data for Structure-from-Motion
* Linear Fitting with Missing Data: Applications to Structure from Motion and to Characterizing Intensity Images
* Linear Flaw Detection in Woven Textiles Using Model Based Clustering
* Linear FM Signal Detection Performance from Discrete-Time Observations
* linear formulation of shape from specular flow, A
* Linear Framework for Region-Based Image Segmentation and Inpainting Involving Curvature Penalization, A
* Linear Frequency Modulation and Orthogonal Code Modulation for Co-Located Multiple-Input Multiple-Output High-Frequency Surface Wave Radar
* Linear Fusion of Image Sets for Display
* Linear Gaussian blur evolution for detection of blurry images
* Linear generalization probe samples for face recognition
* Linear Generalized Camera Calibration from Three Intersecting Reference Planes, A
* linear generalized Hough transform and its parallel implementation, A
* Linear Generalized Hough Transform and Its Parallelization
* Linear Geo-Photometric Constraint for Image Matching, Structure Reconstruction, Image Synthesis and Object Recognition, The
* Linear Global Translation Estimation with Feature Tracks
* Linear Granulometric Moments of Noisy Binary Images
* Linear Hashtable Method Predicted Hexagonal Search Algorithm with Spatial Related Criterion
* Linear Holding for Airspace Flow Programs: A Case Study on Delay Absorption and Recovery
* Linear Image-Pair Model and the Associated Hypothesis Test for Matching, A
* Linear Image Coding for Regression and Classification using the Tensor-rank Principle
* Linear Image Features in Stereopsis
* Linear Image Processing Operations With Operational Tight Packing
* Linear Image Reconstruction by Sobolev Norms on the Bounded Domain
* Linear Image Reconstruction Framework Based on Sobolev Type Inner Products, A
* Linear impulsive system optimization using adaptive dynamic programming
* linear incremental algorithm for naive and standard digital lines and planes recognition, A
* Linear Incremental Nyström Method for Online Kernel Learning, A
* Linear Interpolation Algorithm for Spectral Filter Array Demosaicking, A
* Linear Interpolation Revitalized
* Linear interpolator for color correction
* Linear Inversion Approach to Measuring the Composition and Directionality of the Seismic Noise Field, A
* Linear Iterative Method for Auto-Calibration using the DAC Equation, A
* Linear iterative near-field phase retrieval (LIPR) for dual-energy x-ray imaging and material discrimination
* Linear Laplacian Discrimination for Feature Extraction
* Linear Latent Force Models Using Gaussian Processes
* Linear latent low dimensional space for online early action recognition and prediction
* Linear Layout Processing
* Linear Least-Squares Filtering of Distorted Images
* linear least-squares solution to elastic Shape-from-Template, A
* Linear least squares compartmental-model-independent parameter identification in PET
* Linear Local Distance coding for classification of HEp-2 staining patterns
* Linear Local Models for Monocular Reconstruction of Deformable Surfaces
* Linear manifold clustering in high dimensional spaces by stochastic search
* Linear Manifold Color Descriptor for Medicine Package Recognition, A
* Linear Mapping for Stereo Triangulation, A
* Linear Mapping Technique for Optimizing Binary Templates in Noise-Free Pattern Matching, A
* Linear markers for robot navigation with panoramic vision
* Linear Max K-min classifier, A
* Linear Maximum Margin Classifier for Learning from Uncertain Data
* linear method for camera pair self-calibration, A
* Linear Method for Reconstruction from Lines and Points, A
* linear method for recovering the depth of Ultra HD cameras using a kinect V2 sensor, A
* Linear Methods for Image Interpolation
* Linear Mixture Analysis for Hyperspectral Imagery in the Presence of Less Prevalent Materials
* Linear Mixture Models, Full and Partial Unmixing in Multi- and Hyperspectral Image Data
* Linear MMSE Filtering for Restoration of Images Degraded by Film Grain Noise
* Linear MMSE Processing Design for 3-Phase Two-Way Cooperative MIMO Relay Systems
* Linear model combining by optimizing the Area under the ROC curve
* linear model for simultaneous estimation of 3D motion and depth, A
* Linear model hashing and batch RANSAC for rapid and accurate object recognition
* Linear model optimizer vs Neural Networks: A comparison for improving the quality and saving of LED-Lighting control systems
* Linear Modelling of Cerebral Autoregulation System Using Genetic Algorithms
* Linear Models for Airborne-Laser-Scanning-Based Operational Forest Inventory With Small Field Sample Size and Highly Correlated LiDAR Data
* Linear Models for Infrared Spectra
* Linear models in color constancy theory
* Linear Models of Surface and Illuminant Spectra
* Linear Motion Estimation for Image Sequence Based Accurate 3-D Measurements
* Linear motion estimation for systems of articulated planes
* Linear MPC-Based Urban Traffic Control Using the Link Transmission Model
* Linear Multi-Task Learning for Predicting Soil Properties Using Field Spectroscopy
* Linear multi-view reconstruction of points, lines, planes and cameras using a reference plane
* Linear Multi View Reconstruction and Camera Recovery Using a Reference Plane
* Linear Multi View Reconstruction and Camera Recovery
* Linear Multi View Reconstruction with Missing Data
* Linear Multiscale Analysis of Similarities between Images on Riemannian Manifolds: Practical Formula and Affine Covariant Metrics
* linear multivariate binary decision tree classifier based on K-means splitting, A
* Linear N-Point Camera Pose Determination
* Linear N >=4-Point Pose Determination
* Linear Neighborhood Propagation and Its Applications
* Linear Neural Circuitry Model for Visual Receptive Fields
* Linear Neural Network for the Solution of Limited Angle Problems in Computer Aided Tomography
* Linear Object Classes and Image Synthesis from a Single Example Image
* Linear Octree by Volume Intersection Using Perspective Silhouettes
* Linear Octree of a 3D Object from 2D Silhouettes Using Segment Tree
* Linear Octrees by Volume Intersection
* Linear Octtrees for Fast Processing of Three-Dimensional Objects
* Linear One-Sided Stability of MAT for Weakly Injective Domain
* Linear Optimal Transportation Framework for Quantifying and Visualizing Variations in Sets of Images, A
* Linear Parameter Varying Models-Based Gain-Scheduling Control for Lane Keeping System With Parameter Reduction
* Linear Parameter Varying Observer for Lane Estimation Using Cylinder Domain in Vehicles
* Linear Phase Paraunitary Filter Banks with Unequal-Length Filters
* Linear phase properties of the singular spectrum analysis components for the estimations of the RR intervals of electrocardiograms
* Linear Poisson Models: A Pattern Recognition Solution to the Histogram Composition Problem
* Linear pose estimate from corresponding conics
* Linear Pose Estimation from Points or Lines
* Linear Pre/Post Filters for Transform and Subband/Wavelet Coding
* Linear Precoder Design for MIMO-ISI Broadcasting Channels Under Channel Shortening Detection
* Linear Predictability in Magnetic Resonance Imaging Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better Imaging
* Linear Prediction-Based Covariance Matrix Reconstruction for Robust Adaptive Beamforming
* Linear Prediction-Based DOA Estimation for Directional Borehole Radar 3-D Imaging
* Linear Prediction Based Mixture Models for Event Detection in Video Sequences
* Linear prediction image coding using iterated function systems
* linear prediction land mine detection algorithm for hand held ground penetrating radar, A
* Linear Prediction Techniques
* Linear predictive transform of monochrome images
* linear predictor as a regularization function in adaptive image restoration and reconstruction, A
* Linear Predictors for Fast Simultaneous Modeling and Tracking
* Linear Prefilter for Image Sampling with Ringing Artifact Control, A
* Linear Processing for Intercarrier Interference in OFDM Index Modulation Based on Capacity Maximization
* Linear production game solution to a PTZ camera network
* Linear programming-based submodular extensions for marginal estimation
* Linear Programming Approach fo the Weighted Graph Matching Problem, A
* Linear Programming Approach for Multiple Object Tracking, A
* Linear Programming Approach for Optimal Contrast-Tone Mapping, A
* Linear Programming Approach to Max-Sum Problem: A Review, A
* Linear Programming Based Method for Joint Object Region Matching and Labeling, A
* Linear Programming Matching and Appearance-Adaptive Object Tracking
* Linear programming support vector machines
* Linear projection methods in face recognition under unconstrained illuminations: a comparative study
* Linear Projective Reconstruction from Matching Tensors
* Linear Pushbroom Cameras
* linear pushbroom satellite image epipolar resampling method for digital surface model generation, A
* linear quadtree compression scheme for image encryption, A
* Linear Quadtrees from Vector Representations of Polygons
* Linear Quadtrees: A Blocking Technique for Contour Filling
* Linear Quasi-Parallax SfM Using Laterally-Placed Eyes
* Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions
* Linear Ranking Analysis
* Linear Rate-Distortion Models for MPEG-4 Shape Coding
* Linear Rate Control and Optimum Statistical Multiplexing for H.264 Video Broadcast
* linear rate control model for better target buffer level tracking in H.264, A
* Linear Reaction-Diffusion System with Interior Degeneration for Color Image Compression, A
* Linear Reconstruction from Dual Multilinear Constraints
* Linear reconstruction measure steered nearest neighbor classification framework
* Linear Recovery of the Exterior Orientation Parameters in a Planar Object Space
* Linear Recursive Non-Local Edge-Aware Filter
* Linear Regression and Adaptive Appearance Models for Fast Simultaneous Modelling and Tracking
* Linear Regression Classification in the Quaternion and Reduced Biquaternion Domains
* Linear Regression for Face Recognition
* Linear regression motion analysis for unsupervised temporal segmentation of human actions
* Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis
* Linear Regression Without Correspondences via Concave Minimization
* Linear Regularized Compression of Deep Convolutional Neural Networks
* Linear representation of discrete surfaces in 3D
* Linear Resection, Intersection, and Perspective-Independent Model-Matching in Photogrammetry: Theory
* Linear Resolution Enhancement
* Linear RGB-D SLAM for Planar Environments
* Linear RGB-D SLAM for Structured Environments
* Linear Sampling Method for Random Sources, The
* Linear Scale-Space has First been Proposed in Japan
* Linear Scale-Space I: Basic Theory
* Linear Scale-Space II: Early Visual Operators
* Linear Scale-Space Theory for Continuous Nonlocal Evolutions, A
* Linear Scale-Space Theory from Physical Principles
* Linear Scale-Space
* Linear Scale and Rotation Invariant Matching
* Linear Seam Elimination of Tunnel Crack Images Based on Statistical Specific Pixels Ratio and Adaptive Fragmented Segmentation
* linear self-calibration approach for camera focal length estimation, A
* Linear Self-Calibration Method Based on Active Vision System, A
* Linear Self-Calibration of a Rotating and Zooming Camera
* Linear Semantics in Generative Adversarial Networks
* Linear Separable Classification
* Linear Sequence-to-Sequence Alignment
* Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences
* Linear SFM: A hierarchical approach to solving structure-from-motion problems by decoupling the linear and nonlinear components
* Linear Shape Deformation Models with Local Support Using Graph-Based Structured Matrix Factorisation
* Linear Shape from Shading
* Linear shift-invariant operators for processing surface meshes
* Linear shift-variant filtering for POCS reconstruction of irregularly sampled images
* linear shift invariant multiscale transform, A
* Linear Signal Decomposition Approach to Affine Invariant Contour Identification, A
* Linear Skeletons from Square Cupboards
* Linear Solution for Multiframe Structure from Motion, A
* Linear solution for oneshot active 3D reconstruction using two projectors
* Linear solution for the pose estimation of noncentral catadioptric systems
* Linear Solution to 1-Dimensional Subspace Fitting under Incomplete Data, A
* Linear solution to scale and rotation invariant object matching
* Linear solution to scale invariant global figure ground separation
* Linear Solution to the Minimal Absolute Pose Rolling Shutter Problem
* Linear Solvability in the Viewing Graph
* linear source model and a unified rate control algorithm for DCT video coding, A
* Linear Space-Invariant System Identification And Mismatch Bounds For Estimation Of Dynamical Images
* Linear Space Algorithm for Computing Maximal Common Subsequences, A
* Linear Spaces of Meanings: Compositional Structures in Vision-Language Models
* Linear Span Network for Object Skeleton Detection
* Linear sparse feature based face detection in gray images
* Linear spatial pyramid matching using sparse coding for image classification
* Linear Spatial Spectral Mixture Model
* Linear Spatio-Temporal Scale-Space
* Linear Spectral Clustering Superpixel
* Linear Spectral Mixing Model for Identifying Potential Missing Endmembers in Spectral Mixture Analysis
* Linear Spectral Mixture Analysis Based Approaches to Estimation of Virtual Dimensionality in Hyperspectral Imagery
* Linear Spectral Mixture Analysis of Hyperspectral Images with Atmospheric Distortions
* Linear Spectral Mixture Analysis via Multiple-Kernel Learning for Hyperspectral Image Classification
* Linear Spectral Mixture Models and Support Vector Machines for Remote Sensing
* Linear Spectral Random Mixture Analysis for Hyperspectral Imagery
* Linear stereo matching
* Linear stratified approach for 3D modelling and calibration using full geometric constraints
* Linear Stratified Self-Calibration and Euclidean Reconstruction
* Linear Structure From Motion
* Linear Structures in Mammographic Images: Detection and Classification
* Linear Subclass Support Vector Machines
* linear subspace learning approach via sparse coding, A
* Linear Subspace Methods for Recovering Translation Direction
* Linear Subspace Ranking Hashing for Cross-Modal Retrieval
* Linear subspaces for facial expression recognition
* Linear Subspaces for Illumination Robust Face Recognition
* Linear Support Higher-Order Tensor Machine for Classification, A
* Linear Support Tensor Machine With LSK Channels: Pedestrian Detection in Thermal Infrared Images
* Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos
* linear system form solution to compute the local space average color, A
* Linear System Identification Based on a Third-Order Tensor Decomposition
* Linear Systems Approach to Imaging Through Turbulence, A
* Linear Systolic Array for Real Time Morphological Image Processing, A
* Linear Time Algorithm for Binary Fingerprint Image Denoising Using Distance Transform, A
* Linear Time Algorithm for Computing #2SAT for Outerplanar 2-CNF Formulas, A
* linear time algorithm for computing exact euclidean distance transforms of binary images in arbitrary dimensions, A
* Linear Time Algorithm for Computing the Convex Hull of an Ordered Crossing Polygon, A
* Linear Time Algorithm for Finding a Picture's Connected Components
* Linear Time Algorithm for Minimum Link Paths inside a Simple Polygon, A
* Linear Time Algorithm for Obtaining the Convex Hull of a Simple Polygon, A
* Linear Time Algorithm for the Hausdorff Distance Between Convex Polygons, A
* Linear Time Algorithms for an Image Labelling Machine
* Linear Time Algorithms for Exact Distance Transform
* Linear Time and Space Algorithm for Detecting Path Intersection, A
* Linear Time and Space Algorithm for Optimal Traffic-Signal Duration at an Intersection, A
* Linear Time Constant-Working Space Algorithm for Computing the Genus of a Digital Object
* Linear Time Distance Transforms for Quadtrees
* Linear Time Distances Between Fuzzy Sets With Applications to Pattern Matching and Classification
* Linear Time Histogram Metric for Improved SIFT Matching, A
* Linear Time Illumination Invariant Stereo Matching
* Linear Time Implementation of k-Means for Multilevel Thresholding of Grayscale Images, A
* Linear Time Maximally Stable Extremal Regions
* Linear time offline tracking and lower envelope algorithms
* Linear time recognition algorithms for topological invariants in 3D
* Linear Time Recognition of Digital Arcs, The
* Linear time symmetric axis search based on palindrome detection
* Linear Tracking for 3-D Medical Ultrasound Imaging
* Linear transform for simultaneous diagonalization of covariance and perceptual metric matrix in image coding
* Linear Transformation Groups and Shape Space
* Linear Transformation of Pictures Represented by Quad Trees
* Linear Transformation Parameter Estimation for Fault Detection
* Linear Transformations and Signal Estimation in the Joint Spatial-Slepian Domain
* Linear Transition Detection as a Unified Shot Detection Approach
* linear transportation Lp distance for pattern recognition, A
* Linear Trinocular Rectification Method for Accurate Stereoscopic Matching, A
* Linear Unmixing in BRDF Reproduction and 3D Shape Recovery
* Linear Velocity-Free Visual Servoing Control for Unmanned Helicopter Landing on a Ship With Visibility Constraint
* Linear Versus Nonlinear Neural Modeling for 2-D Pattern Recognition
* Linear view synthesis using a dimensionality gap light field prior
* Linear view/image restoration for dense light fields
* Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision
* Linear vs. Quadratic Optimization Algorithms for Bias Correction of Left Ventricle Chamber Boundaries in Low Contrast Projection Ventriculograms Produced from Xray Cardiac Catheterization Procedure
* linear wavelet filter for parametric imaging with dynamic PET, A
* Linear, Worst-Case Estimators for Denoising Quantization Noise in Transform Coded Images
* Linearised Euclidean Shortening Flow of Curve Geometry
* Linearity and Shift Invariance for Quantitative Magnetic Particle Imaging
* Linearity of each channel pixel values from a surface in and out of shadows and its applications
* Linearization to Nonlinear Learning for Visual Tracking
* Linearized 3-D Electromagnetic Contrast Source Inversion and Its Applications to Half-Space Configurations
* Linearized alternating direction method of multipliers for elastic-net support vector machines
* Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures
* Linearized Analysis of Noise and Resolution for DL-Based Image Generation
* Linearized Bregman Iterations For Frame-Based Image Deblurring
* Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations, The
* Linearized Fit Model for Robust Shape Parameterization of FET-PET TACs, A
* Linearized Hellinger-Kantorovich Distance, The
* Linearized Inverse Problem in Multifrequency Electrical Impedance Tomography, The
* Linearized kernel dictionary learning with group sparse priors for action recognition
* Linearized Motion Estimation for Articulated Planes
* Linearized Multi-Sampling for Differentiable Image Transformation
* Linearized Multidimensional Earth-Mover's-Distance Gradient Flows
* Linearized proximal alternating minimization algorithm for motion deblurring by nonlocal regularization
* Linearized Robust Beamforming for Two-Way Relay Systems
* Linearized Single-Scattering Property Database for Hexagonal Prism Ice Particles
* Linearized Smooth Additive Classifiers
* Linearized static panoramic optical mirror
* Linearizing the Plenoptic Space
* Linearly-Constrained Recursive Total Least-Squares Algorithm
* linearly approximated iterative Gaussian decomposition method for waveform LiDAR processing, A
* Linearly Constrained Generalized Lloyd Algorithm for Virtual Codebook Vector Quantization
* Linearly Constrained Non-Lipschitz Optimization for Image Restoration
* Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration
* Linearly Estimating All Parameters of Affine Motion Using Radon Transform
* Linearly independent ternary arithmetic helix transforms, their properties and relations
* Linearly uncorrelated principal component and deep convolutional image deblurring for natural images
* LiNearN: A new approach to nearest neighbour density estimator
* LineCast: Line-Based Distributed Coding and Transmission for Broadcasting Satellite Images
* Linecounter: Learning Handwritten Text Line Segmentation By Counting
* LineDiff Entropy: Lossless Layout Data Compression Scheme for Maskless Lithography Systems
* LineDL: Processing Images Line-by-Line With Deep Learning
* LineEX: Data Extraction from Scientific Line Charts
* LineGAN: An image colourisation method combined with a line art network
* Lines and Points in Three Views and the Trifocal Tensor
* Lines and Points in Three Views: A Unified Approach
* Lines and Points in Three Views: An Integrated Approach
* Lines as the Fundamental Unit of Vision
* Lines in One Orthographic and Two Perspective Views
* LiNet: A Lightweight Network for Image Super Resolution
* LingoSent: A Platform for Linguistic Aware Sentiment Analysis for Social Media Messages
* Linguistic Analysis of Laser Speckle Contrast Images Recorded at Rest and During Biological Zero: Comparison With Laser Doppler Flowmetry Data
* linguistic approach to classification of bacterial genomes, A
* Linguistic Context In Vision
* Linguistic description of relative positions in images
* Linguistic Dynamic Analysis of Traffic Flow Based on Social Media: A Case Study
* Linguistic Feature Vector for the Visual Interpretation of Sign Language, A
* linguistic fuzzy recogniser of off-line handwritten characters, A
* Linguistic Generative Steganography With Enhanced Cognitive-Imperceptibility
* Linguistic integration information in the aabatas arabic text analysis system
* Linguistic Landscape of Arabs in New York City: Application of a Geosemiotics Analysis
* Linguistic Landscapes on Street-Level Images
* Linguistic Methods for the Description of a Straight Line on a Grid
* Linguistic Methods in Picture Processing: A Survey
* Linguistic Steganalysis by Enhancing and Integrating Local and Global Features
* Linguistic Steganalysis Merging Semantic and Statistical Features
* Linguistic Steganalysis With Graph Neural Networks
* Linguistic Steganography: From Symbolic Space to Semantic Space
* Linguistic Steganography: Hiding Information in Syntax Space
* Linguistic Structure Guided Context Modeling for Referring Image Segmentation
* Linguistic Structures as Weak Supervision for Visual Scene Graph Generation
* Linguistic summarization of video for fall detection using voxel person and fuzzy logic
* Linguistically-aware attention for reducing the semantic gap in vision-language tasks
* Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering
* link-analysis-based discriminant analysis for exploring partially labeled graphs, A
* Link-Based Approach to the Cluster Ensemble Problem, A
* Link-Rot in Web-Sourced Multimedia Datasets
* Link Adaptation for High-Quality Uncompressed Video Streaming in 60-GHz Wireless Networks
* Link Adaptation Scheme for Efficient Transmission of H.264 Scalable Video Over Multirate WLANs, A
* link adaptation scheme optimized for wireless JPEG 2000 transmission over realistic MIMO systems, A
* Link and Code: Fast Indexing with Graphs and Compact Regression Codes
* Link between copula and tomography
* Link Between Image Based and Feature Based Active Contours, A
* Link Between Shape and Phase, A
* Link Budget Analysis for GNSS-R Sea Surface Return in Arbitrary Acquisition Geometries Using BA-PTSM
* Link Budget Analysis with Laser Energy for Time Transfer Using the Ajisai Satellite
* Link Ecological and Social Composite Systems to Construct Sustainable Landscape Patterns: A New Framework Based on Ecosystem Service Flows
* Link functions and Matérn kernel in the estimation of reflectance spectra from RGB responses
* Link Optimization in Software Defined IoV Driven Autonomous Transportation System
* Link Prediction in Social Networks by Variational Graph Autoencoder and Similarity-based Methods: A Brief Comparative Analysis
* Link prediction via Supervised Dynamic Network Formation
* Link the Head to the Beak: Zero Shot Learning from Noisy Text Description at Part Precision
* LinK: Linear Kernel for LiDAR-based 3D Perception
* Linkable Privacy-Preserving Scheme for Location-Based Services
* Linkage Based Face Clustering via Graph Convolution Network
* Linkage of OGC WPS 2.0 to the e-Government Standard Framework in Korea: An Implementation Case for Geo-Spatial Image Processing
* Linkage of Strong Intraseasonal Events of the East Asian Winter Monsoon to the Tropical Convections over the Western Pacific
* Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco
* Linked Attention-Based Dynamic Graph Convolution Module for Point Cloud Classification
* Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data
* Linked CP tensor decomposition algorithms for shared and individual feature extraction
* Linked Data and SDI: The case on Web geoprocessing workflows
* Linked Data Approach for Geospatial Data Provenance, A
* Linked edges as stable region boundaries
* Linked geometric features for modeling the fluid flow in developing embryonic vertebrate hearts
* linked list run-length-based single-pass connected component analysis for real-time embedded hardware, A
* Linked Open Data as Universal Markers for Mobile Augmented Reality Applications in Cultural Heritage
* Linked Source and Target Domain Subspace Feature Transfer Learning -- Exemplified by Speech Emotion Recognition
* LinkFCM: Relation integrated fuzzy c-means
* Linking Between Image Sequences and Related Digital Maps
* Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features
* Linking Broken Character Borders with Variable Sized Masks to Improve Recognition
* Linking Ecosystem Services to Land Use Decisions: Policy Analyses, Multi-Scenarios, and Integrated Modelling
* Linking Feature Lines on 3D Triangle Meshes with Artificial Potential Fields
* Linking Garment with Person via Semantically Associated Landmarks for Virtual Try-On
* Linking Geosocial Sensing with the Socio-Demographic Fabric of Smart Cities
* Linking Heat Source-Sink Landscape Patterns with Analysis of Urban Heat Islands: Study on the Fast-Growing Zhengzhou City in Central China
* Linking High-Resolution UAV-Based Remote Sensing Data to Long-Term Vegetation Sampling: A Novel Workflow to Study Slow Ecotone Dynamics
* Linking Image-Space and Accumulator-Space: A New Approach for Object Recognition
* Linking Image and Text with 2-Way Nets
* Linking Land Cover Change with Landscape Pattern Dynamics Induced by Damming in a Small Watershed
* Linking Land Surface Phenology and Vegetation-Plot Databases to Model Terrestrial Plant a-Diversity of the Okavango Basin
* Linking Models for Multiscale Image Segmentation
* Linking Neighborhood Characteristics and Drug-Related Police Interventions: A Bayesian Spatial Analysis
* Linking Objects of Different Spatial Data Sets by Integration and Aggregation
* Linking Past and Present Land-Use Histories in Southern Amazonas, Peru
* Linking Past to Present: Discovering Style in Two Centuries of Architecture
* Linking People in Videos with Their Names Using Coreference Resolution
* Linking Persistent Scatterers to the Built Environment Using Ray Tracing on Urban Models
* Linking Phenological Indices from Digital Cameras in Idaho and Montana to MODIS NDVI
* Linking Pose and Motion
* Linking Public Transport User Satisfaction with Service Accessibility for Sustainable Mobility Planning
* Linking Recognition Accuracy and User Experience in an Affective Feedback Loop
* Linking Regional Winter Sea Ice Thickness and Surface Roughness to Spring Melt Pond Fraction on Landfast Arctic Sea Ice
* Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity: Part I: Soil Characteristics
* Linking Remote Sensing with APSIM through Emulation and Bayesian Optimization to Improve Yield Prediction
* Linking Remotely Sensed Carbon and Water Use Efficiencies with In Situ Soil Properties
* Linking Satellite Remote Sensing Based Environmental Predictors To Disease: An Application To The Spatiotemporal Modelling Of Schistosomiasis In Ghana
* Linking Sequences of Active Appearance Sub-Models via Constraints: An Application in Automated Vertebral Morphometry
* Linking Spaceborne and Ground Observations of Autumn Foliage Senescence in Southern Québec, Canada
* Linking text and visual concepts semantically for cross modal multimedia search
* Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity: Part II: Geomorphology, Terrain and Surfaces
* Linking the Spectra of Decomposing Litter to Ecosystem Processes: Tandem Close-Range Hyperspectral Imagery and Decomposition Metrics
* Linking the von Kries model to Wien's law for the estimation of an illuminant invariant image
* Linking User Generated Video Annotations to the Web of Data
* Linking visual concept detection with viewer demographics
* Linking visual saliency deviation to image quality degradation: A saliency deviation-based image quality index
* LinkNet-Spectral-Spatial-Temporal Transformer Based on Few-Shot Learning for Mangrove Loss Detection with Small Dataset
* LinkNet: Exploiting encoder representations for efficient semantic segmentation
* Linkoping University
* Links between Canopy Solar-Induced Chlorophyll Fluorescence and Gross Primary Production Responses to Meteorological Factors in the Growing Season in Deciduous Broadleaf Forest, The
* Links Between Image Segmentation Based on Optimum-Path Forest and Minimum Cut in Graph
* Links between Land Cover and In-Water Optical Properties in Four Optically Contrasting Swedish Bays
* Links Between LVQ and Backpropagation
* Links between Markov models and multilayer perceptrons
* Links between Phenology of Large Phytoplankton and Fisheries in the Northern and Central Red Sea
* Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms
* LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images
* LINPE-BL: A Local Descriptor and Broad Learning for Identification of Abnormal Breast Thermograms
* Lions and Tigers and Bears: Capturing Non-rigid, 3D, Articulated Shape from Images
* LionVu 2.0 Usability Assessment for Pennsylvania, United States
* LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space
* Lip-motion events analysis and lip segmentation using optical flow
* Lip-Reading Technique Using Spatio-Temporal Templates and Support Vector Machines
* Lip-reading via a DNN-HMM hybrid system using combination of the image-based and model-based features
* Lip-reading with Densely Connected Temporal Convolutional Networks
* lip-tracking system based on morphological processing and block matching techniques, A
* Lip biometric template security framework using spatial steganography
* Lip Biometrics for Digit Recognition
* Lip contour extraction for language learning in VEC3D
* Lip contour extraction from color images using a deformable model
* Lip Contour Extraction Method Using Localized Active Contour Model with Automatic Parameter Selection, A
* Lip Contour Extraction Using a Deformable Model
* Lip contour segmentation and tracking compliant with lip-reading application constraints
* Lip Contour Segmentation Using Kernel Methods and Level Sets
* Lip contour tracking using multiple dynamic models on a manifold
* Lip detection and tracking
* Lip Detection Using Confidence-Based Adaptive Thresholding
* Lip event detection using oriented histograms of regional optical flow and low rank affinity pursuit
* lip extraction algorithm using region-based ACM with automatic contour initialization, A
* Lip Feature Extraction Towards an Automatic Speechreading System
* Lip features automatic extraction
* Lip Image Segmentation in Mobile Devices Based on Alternative Knowledge Distillation
* Lip Image Segmentation Using Fuzzy Clustering Incorporating an Elliptic Shape Function
* Lip localization and performance evaluation
* Lip Localization Based on Active Shape Model and Gaussian Mixture Model
* Lip Motion Automatic Detection
* Lip Motion Capture and Its Application to 3-D Molding
* Lip Movement Synthesis from Speech Based on Hidden Markov Models
* Lip Movements Generation at a Glance
* Lip Posture Estimation using Kinematically Constrained Mixture Models
* Lip print-based identification using traditional and deep learning
* Lip Reading Based on Sampled Active Contour Model
* Lip Reading for Low-resource Languages by Learning and Combining General Speech Knowledge and Language-specific Knowledge
* Lip Reading from Multi View Facial Images Using 3D-AAM
* Lip Reading from Scale-Space Measurements
* Lip Reading in the Wild
* Lip Reading Sentences in the Wild
* Lip Reading Using Wavelet-Based Features and Random Forests Classification
* Lip reading with Hahn Convolutional Neural Networks
* Lip Reading: Automatic Visual Recognition of Spoken Words
* Lip Recognition Using Morphological Pattern Spectrum
* Lip segmentation based on Lambertian shadings and morphological operators for hyper-spectral images
* Lip Segmentation under MAP-MRF Framework with Automatic Selection of Local Observation Scale and Number of Segments
* Lip Segmentation Using Level Set Method: Fusing Landmark Edge Distance and Image Information
* Lip Shape and Hand Position Fusion for Automatic Vowel Recognition in Cued Speech for French
* Lip Signatures for Automatic Person Recognition
* Lip Synchronization Using Linear Predictive Analysis
* Lip tracking under varying expressions utilizing domain knowledge
* LIP: Learning Instance Propagation for Video Object Segmentation
* LIP: Local Importance-Based Pooling
* Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping
* LipFormer: High-fidelity and Generalizable Talking Face Generation with A Pre-learned Facial Codebook
* LipFormer: Learning to Lipread Unseen Speakers Based on Visual-Landmark Transformers
* LipNeRF: What is the right feature space to lip-sync a NeRF?
* Lippmann photography and the glory of frozen light: Eternal photographic color real and false
* Lipreading by Locality Discriminant Graph
* Lipreading from Color Motion Video
* Lipreading from Color Video
* Lipreading using Fourier transform over time
* Lipreading Using Recurrent Neural Prediction Model
* Lipreading using signal analysis over time
* Lipreading with DenseNet and resBi-LSTM
* Lipreading With Local Spatiotemporal Descriptors
* Lipreading with Spiking Neurons: One Pass Learning
* Lipreading, Lip Reading, Lip Tracking
* Lipreading: A Classifier Combination Approach
* Lipreading: A Graph Embedding Approach
* Lips Contour Detection and Tracking Using Watershed Region-Based Active Contour Model and Modified H_inf
* Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection
* Lips Recognition for Biometrics
* Lipschitz Continuity Guided Knowledge Distillation
* Lipschitz Continuity Retained Binary Neural Network
* Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
* LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces from Video using Pose and Lighting Normalization
* LIQA: Lifelong Blind Image Quality Assessment
* Liquid crystal elements for 3D displays
* liquid crystal light valve, an optical-to-optical interface device, The
* Liquid Crystal Polarization Camera
* Liquid Pouring Monitoring via Rich Sensory Inputs
* Liquid Warping GAN With Attention: A Unified Framework for Human Image Synthesis
* Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
* Liquid Water Detection under the South Polar Layered Deposits of Mars: A Probabilistic Inversion Approach
* LIRA: Learnable, Imperceptible and Robust Backdoor Attacks
* LIRA: Lifelong Image Restoration from Unknown Blended Distortions
* LIRE Request Handler: A Solr Plug-In for Large Scale Content Based Image Retrieval, The
* LIRIS-ACCEDE: A Video Database for Affective Content Analysis
* LISA: Learning Implicit Shape and Appearance of Hands
* LiSens- A Scalable Architecture for Video Compressive Sensing
* Lisnet: A Covid-19 Lung Infection Segmentation Network Based on Edge Supervision and Multi-Scale Context Aggregation
* List-mode EM algorithms for limited precision high-resolution PET image reconstruction
* List-mode image reconstruction for real-time PET imaging
* List-Mode Likelihood: EM Algorithm and Image Quality Estimation Demonstrated on 2-D PET
* List-Mode PET Image Reconstruction Using Deep Image Prior
* List-Mode PET Motion Correction Using Markerless Head Tracking: Proof-of-Concept With Scans of Human Subject
* List-Wise Rank Learning for Stereoscopic Image Retargeting Quality Assessment
* List decoding of Reed Solomon codes for wavelet based colour image watermarking scheme
* List Encoding of Vector Perturbation Precoding
* List of Clusters Revisited, The
* List Processing Approach to Compute Voronoi Diagrams and the Euclidean Distance Transform, A
* List Viterbi Decoding of Convolutional Codes for Efficient Data Hiding
* LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction
* Listen and Look: Audio-Visual Matching Assisted Speech Source Separation
* Listen to Look: Action Recognition by Previewing Audio
* Listen to the Image
* Listen To the Pixels
* Listen to Your Face: Inferring Facial Action Units from Audio Channel
* LISTEN: a system for locating and tracking individual speakers
* Listening-oriented response generation by exploiting user responses
* Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes
* Listening Human Behavior: 3D Human Pose Estimation with Acoustic Signals
* Listening with Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines
* LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition
* Listwise learning to rank method combining approximate NDCG ranking indicator with Conditional Generative Adversarial Networks
* LISU: Low-light indoor scene understanding with joint learning of reflectance restoration
* Lit-Sphere extension for artistic rendering
* LIT: A System and Benchmark for Light Understanding
* LiT: Zero-Shot Transfer with Locked-Image text Tuning
* Lite-HRNet Plus: Fast and Accurate Facial Landmark Detection
* Lite-HRNet: A Lightweight High-Resolution Network
* Lite-MDETR: A Lightweight Multi-Modal Detector
* Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
* Lite-RTSE: Exploring a Cost-Effective Lite DNN Model for Real-Time Speech Enhancement in RTC Scenarios
* Lite-weight semantic segmentation with AG self-attention
* Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images
* Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR
* Lite Hourglass Network for Multi-person Pose Estimation
* Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
* Lite Vision Transformer with Enhanced Self-Attention
* LiteCCLKNet: A lightweight criss-cross large kernel convolutional neural network for hyperspectral image classification
* LiteCovidNet: A lightweight deep neural network model for detection of COVID-19 using X-ray images
* LiteDEKR: End-to-end lite 2D human pose estimation network
* Litedepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices
* LiteDepthwiseNet: A Lightweight Network for Hyperspectral Image Classification
* LiteEdge: Lightweight Semantic Edge Detection Network
* LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
* LiteFlownet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation
* LiteHandNet: A Lightweight Hand Pose Estimation Network via Structural Feature Enhancement
* Literature Explorer: effective retrieval of scientific documents through nonparametric thematic topic detection
* literature review of action recognition in traffic context, The
* Literature Review of Deep Learning Models for Liver Vessels Reconstruction
* Literature review of fingerprint quality assessment and its evaluation
* Literature Review on Driver's Drowsiness and Fatigue Detection
* Literature Review on Train Motion Model Calibration, A
* literature survey on robust and efficient eye localization in real-life scenarios, A
* LiteST-Net: A Hybrid Model of Lite Swin Transformer and Convolution for Building Extraction from Remote Sensing Image
* Lithium-Bearing Pegmatite Identification, Based on Spectral Analysis and Machine Learning: A Case Study of the Dahongliutan Area, NW China
* Lithium-Rich Pegmatite Detection Integrating High-Resolution and Hyperspectral Satellite Data in Zhawulong Area, Western Sichuan, China
* Lithological and Hydrothermal Alteration Mapping of Epithermal, Porphyry and Tourmaline Breccia Districts in the Argentine Andes Using ASTER Imagery
* Lithological Classification by Hyperspectral Images Based on a Two-Layer XGBoost Model, Combined with a Greedy Algorithm
* Lithological Classification Using Multi-sensor Data and Convolutional Neural Networks
* Lithological Classification Using Sentinel-2A Data in the Shibanjing Ophiolite Complex in Inner Mongolia, China
* Lithological Mapping Based on Fully Convolutional Network and Multi-Source Geological Data
* Lithological Mapping of Dahab Basin, South Sinai, Egypt, using ASTER Data
* Lithological Mapping Using Landsat 8 Oli and Aster Multispectral Data In Imini-ounilla District South High Atlas of Marrakech
* Lithology Classification Using TASI Thermal Infrared Hyperspectral Data with Convolutional Neural Networks
* Lithology Discrimination Using Sentinel-1 Dual-Pol Data and SRTM Data
* Lithosphere Ionosphere Coupling Associated with Seismic Swarm in the Balkan Peninsula from ROB-TEC and GPS
* Lithospheric Equilibrium, Environmental Changes, and Potential Induced-Earthquake Risk around the Newly Impounded Baihetan Reservoir, China
* Lithospheric Stress Due to Mantle Convection and Mantle Plume over East Africa from GOCE and Seismic Data
* LiTMNet: A deep CNN for efficient HDR image reconstruction from a single LDR image
* Little Bit More: Bitplane-Wise Bit-Depth Recovery, A
* Little Engine That Could: Regularization by Denoising (RED), The
* Little Fog for a Large Turn, A
* Live 360 Degree Video Delivery Based on User Collaboration in a Streaming Flock
* Live 3D shape reconstruction, recognition and registration
* Live 3D Video in Soccer Stadium
* Live actor integration in pre-recorded well known video
* Live Broadcast With Community Interactions: Bottlenecks and Optimizations
* Live capture, rectification, and streaming of stereoscopic internet video for casual users
* Live cell image segmentation
* Live cell imaging: a computational perspective
* Live Cell Segmentation in Fluorescence Microscopy via Graph Cut
* Live Coral Cover Index Testing and Application with Hyperspectral Airborne Image Data
* Live Demo: E2P-Events to Polarization Reconstruction from PDAVIS Events
* Live Demonstration: ANN vs SNN vs Hybrid Architectures for Event-based Real-time Gesture Recognition and Optical Flow Estimation
* Live Demonstration: Event-based Visual Microphone
* Live Demonstration: Incremental Motion Estimation for Event-based Cameras by Dispersion Minimisation
* Live Demonstration: Integrating Event Based Hand Tracking Into TouchFree Interactions
* Live Demonstration: PINK: Polarity-based Anti-flicker for Event Cameras
* Live Demonstration: Real-time Event-based Speed Detection using Spiking Neural Networks
* Live Demonstration: SCAMP-7
* Live Demonstration: Tangentially Elongated Gaussian Belief Propagation for Event-based Incremental Optical Flow Estimation
* Live dense reconstruction with a single moving camera
* Live Dense Reconstruction with Moving Cameras
* Live Face De-Identification in Video
* Live Feature Clustering in Video Using Appearance and 3d Geometry
* Live fuel moisture content estimation from MODIS: A deep learning approach
* Live Fuel Moisture Content Mapping in the Mediterranean Basin Using Random Forests and Combining MODIS Spectral and Thermal Data
* Live Fuel Moisture Content Product from Landsat TM Satellite Time Series for Implementation in Fire Behavior Models, A
* Live image analysis for computer assisted presentation
* Live Key Frame Extraction in User Generated Content Scenarios for Embedded Mobile Platforms
* Live Metric 3D Reconstruction on Mobile Phones
* Live Multimedia Adaptation Through Wireless Hybrid Networks
* Live Repetition Counting
* Live RGB-D camera tracking for television production studios
* Live Tracking and Dense Reconstruction for Handheld Monocular Endoscopy
* Live Tracking of Rail-Based Fish Catching on Wild Sea Surface
* Live Trojan Attacks on Deep Neural Networks
* Live Version Identification with Audio Scene Detection
* Live Video Action Recognition from Unsupervised Action Proposals
* live video analytic system for affect analysis in public space, A
* Live video object tracking and segmentation using graph cuts
* Live Video Segmentation in Dynamic Backgrounds Using Thermal Vision
* Live video synopsis for multiple cameras
* LIVEcut: Learning-based Interactive Video Segmentation by Evaluation of Multiple Propagated Cues
* LiveHand: Real-time and Photorealistic Neural Hand Rendering
* LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation
* Liveness-Enforcing Supervisor Tolerant to Sensor-Reading Modification Attacks, A
* Liveness Detection for Fingerprint Scanners Based on the Statistics of Wavelet Signal Processing
* Liveness detection for iris recognition using multispectral images
* liveness detection method for face recognition based on optical flow field, A
* Liveness Detection, Spoofing, Fingerprint Recognition
* Liveness Detection, Spoofing, Presentation Attack, Faces, Other Biometrics
* Liveness Enforcing Supervision of Video Streaming Systems Using Nonsequential Petri Nets
* LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses
* Liver Definition in CT Using a Population-Based Shape Model
* Liver Disease, Tomography, CAT Analysis
* Liver MRI segmentation with edge-preserved intensity inhomogeneity correction
* Liver segmentation based on deformable registration and multi-layer segmentation
* Liver Segmentation in CT Images Using Three Dimensional to Two Dimensional Fully Convolutional Network
* Liver segmentation using superpixel-based graph cuts and restricted regions of shape constrains
* Liver segmentation with constrained convex variational model
* Liver tumor detection in CT images by adaptive contrast enhancement and the EM/MPM algorithm
* Liver Tumor Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images
* Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder-decoder network
* Liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images
* Liver Venous Tree Separation via Twin-Line RANSAC and Murray's Law
* Liver Vessels Segmentation Based on 3d Residual U-NET
* LiverDefense: how to employ a tower defense game as a customisable research tool
* LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos
* LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search
* LiveSR: Enabling Universal HD Live Video Streaming With Crowdsourced Online Learning
* Living in a dynamic world
* Living Structure as an Empirical Measurement of City Morphology
* Living without Menu Bar: A Shape Retrieval Based Word Editor
* LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering
* Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification
* LKBQ: Pushing the Limit of Post-Training Quantization to Extreme 1 bit
* LKDA-GAN: Cross-modality image synthesis via Generative Adversarial Network aggregating large kernel decomposable attention bottleneck block
* LKLM: A Large-Kernel Lightweight CNN Model for Monocular Depth Estimation
* LL-CSFormer: A Novel Image Denoiser for Intensified CMOS Sensing Images under a Low Light Environment
* LL-WSOD: Weakly supervised object detection in low-light
* LLA-Flow: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation
* LLAM-MDCNet for Detecting Remote Sensing Images of Dead Tree Clusters
* LLaViLo: Boosting Video Moment Retrieval via Adapter-Based Multimodal Modeling
* LLC Revisit: Scene Classification with k-Farthest Neighbours
* LLCNN: A Convolutional Neural Network for Low-Light Image Enhancement
* LLDE: Enhancing Low-Light Images with Diffusion Model
* LLE and a linear mapping, The
* LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition
* LLFE: A Novel Learning Local Features Extraction for UAV Navigation Based on Infrared Aerial Image and Satellite Reference Image Matching
* Llieformer: A Low-Light Image Enhancement Transformer Network with a Degraded Restoration Model
* LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
* LLM Integer Cosine Transform and its Fast Algorithm
* LLM: Learning Cross-Modality Person Re-Identification via Low-Rank Local Matching
* LLN-based Model-Driven Validation of Data Points for Random Sample Consensus Methods
* LLNet: A deep autoencoder approach to natural low-light image enhancement
* LLNet: A Fusion Classification Network for Lane Localization in Real-World Scenarios
* Lloyd's Algorithm on GPU
* Lloyd clustering of Gauss mixture models for image compression and classification
* LLP norm regularization based group sparse representation for image compressed sensing recovery
* LLQA: Lifelog Question Answering Dataset
* Llrnet: A Multiscale Subband Learning Approach for Low Light Image Restoration
* LLRT based detection of LSB hiding
* LLSURE: Local Linear SURE-Based Edge-Preserving Image Filtering
* LLTO: Towards efficient lesion localization based on template occlusion strategy in intelligent diagnosis
* LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
* LLVM-based and scalable MPEG-RVC decoder
* LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
* LM-VC: Zero-Shot Voice Conversion via Speech Generation Based on Language Models
* LMA-Based Motion Retrieval for Folk Dance Cultural Heritage
* LMDFS: A Lightweight Model for Detecting Forest Fire Smoke in UAV Images Based on YOLOv7
* LMFNet: A Lightweight Multiscale Fusion Network With Hierarchical Structure for Low-Quality 3-D Face Recognition
* LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking
* LMI-based 2D-3D registration: From uncalibrated images to Euclidean scene
* LMI-Based Stability and Performance Conditions for Continuous-Time Nonlinear Systems in Takagi-Sugeno's Form
* LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control
* LMI Approach for Reliable PTZ Camera Self-Calibration, An
* LMI approach to Robust Fuzzy H8 Control for Wind Generator System in Finite Frequency Domain
* LMI Technologies Inc.
* LMI Technologies
* LMM-based frame-level rate control for H.264/AVC high-definition video coding
* LMMSE-Based Image Denoising in Nonsubsampled Contourlet Transform Domain
* LMMSE 3-D SAR Focusing
* LMPDNET: TOF-PET List-Mode Image Reconstruction Using Model-Based Deep Learning Method
* LMQFormer: A Laplace-Prior-Guided Mask Query Transformer for Lightweight Snow Removal
* LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution
* LMR: Learning a Two-Class Classifier for Mismatch Removal
* LMS-based attack on watermark public detectors
* LMSA-Net: A lightweight multi-scale aware network for retinal vessel segmentation
* LMSCNet: Lightweight Multiscale 3D Semantic Completion
* LMSD-Net: A Lightweight and High-Performance Ship Detection Network for Optical Remote Sensing Images
* LMSD-YOLO: A Lightweight YOLO Algorithm for Multi-Scale SAR Ship Detection
* LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image
* LO-Net: Deep Real-Time Lidar Odometry
* Load-Balanced Algorithm for Parallel Digital Image Warping, A
* Load-balanced locality-sensitive hashing: A new method for efficient near duplicate image detection
* Load Asymmetry Angle Estimation Using Multiple-View Videos
* Load Balance Guaranteed Vehicle-to-Vehicle Computation Offloading for Min-Max Fairness in VANETs
* load balanced mapping for spiking neural network, A
* Load Balancing Requirement In Parallel Implementations Of Image Feature Extraction Tasks
* Load Estimation Based Dynamic Access Protocol for Satellite Internet of Things
* load unbalancing problem for region growing image segmentation algorithms, The
* Loading Correction Model for GPS Measurements Derived from Multiple-Data Combined Monthly Gravity, A
* Local- and Regional-Scale Forcing of Glacier Mass Balance Changes in the Swiss Alps
* local-adapted disparity vector derivation scheme for 3D-AVS, A
* Local-adaptive and outlier-tolerant image alignment using RBF approximation
* Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation
* Local-Adaptive Image Alignment Based on Triangular Facet Approximation
* Local-Aggregation Graph Networks
* Local-Aware Intra Template Matching Prediction
* Local-constrained quadtree plus binary tree block partition structure for enhanced video coding
* Local-feature-based similarity measure for stochastic resonance in visual perception of spatially structured images
* Local-Frame Based Method for Vector Field Construction on Raw Point Cloud, A
* Local-Global Based High-Resolution Spatial-Spectral Representation Network for Pansharpening
* Local-Global Context Aware Transformer for Language-Guided Video Segmentation
* Local-Global Contrast for Learning Voice-Face Representations
* local-global coupled-layer puppet model for robust online human pose tracking, A
* Local-Global Framework for Semantic Segmentation of Multisource Remote Sensing Images, A
* Local-Global Graph Pooling via Mutual Information Maximization for Video-Paragraph Retrieval
* Local-Global Interactive Network For Face Age Transformation
* Local-Global Landmark Confidences for Face Recognition
* Local-global nested graph kernels using nested complexity traces
* Local-Global Video-Text Interactions for Temporal Grounding
* Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning
* Local-LDA: Open-Ended Learning of Latent Topics for 3D Object Recognition
* Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
* Local-Manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification
* Local-Mean Preserving Post-Processing Step for Non-Negativity Enforcement in PET Imaging: Application to 90Y-PET
* local-motion-based probabilistic model for visual tracking, A
* Local-Prediction-Based Difference Expansion Reversible Watermarking
* Local-scale flood mapping on vegetated floodplains from radiometrically calibrated airborne LiDAR data
* Local-Scale Horizontal CO2 Flux Estimation Incorporating Differential Absorption Lidar and Coherent Doppler Wind Lidar
* Local-Sparse-Information-Aggregation Transformer with Explicit Contour Guidance for SAR Ship Detection, A
* Local-spectrum-based distinction between handwritten and machine-printed characters
* Local-Structure of Space-Variant Images, The
* Local-to-Global Approach to Multi-Modal Movie Scene Segmentation, A
* Local-to-Global Cost Aggregation for Semantic Correspondence
* Local-to-global mesh saliency
* Local-to-Global Point Cloud Registration Using a Dictionary of Viewpoint Descriptors
* Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields
* Local-to-Global Signature Descriptor for 3D Object Recognition
* Local-to-Global Support Vector Machines (LGSVMs)
* Local-View-Assisted Discriminative Band Selection With Hypergraph Autolearning for Hyperspectral Image Classification
* Local 2D Pattern Spectra as Connected Region Descriptors
* Local 3D Editing via 3D Distillation of CLIP Knowledge
* Local 3D Shape Analysis for Facial Expression Recognition
* Local 3D structure recognition in range images
* Local 3D Symmetry for Visual Saliency in 2.5D Point Clouds
* Local 3D Texture Anisotropy Analysis of Seismic Reflection Data
* Local Abnormality Detection in Video Using Subspace Learning
* Local Absolute Binary Patterns as Image Preprocessing for Grip-Pattern Recognition in Smart Gun
* Local Active Content Fingerprint: Solutions for general linear feature maps
* Local active content fingerprinting: Optimal solution under linear modulation
* Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset, A
* Local Adaptive Algorithm for Microaneurysms Detection in Digital Fundus Images, A
* Local Adaptive Approach for Dense Stereo Matching in Architectural Scene Reconstruction, A
* Local Adaptive Binary Patterns Using Diamond Sampling Structure for Texture Classification
* Local Adaptive Calibration of the Satellite-Derived Surface Incident Shortwave Radiation Product Using Smoothing Spline
* Local Adaptive Illumination-Driven Input-Level Fusion for Infrared and Visible Object Detection
* Local adaptive nonlinear diffusion
* Local adaptive rational interpolation filter and its application for deinterlacing
* Local adaptive receptive field self-organizing map for image color segmentation
* Local Adaptive SVM for Object Recognition
* Local adaptive tone mapping with composite multiple gamma functions
* Local Adaptive Transform Based Image Denoising with Varying Window Size
* Local Adaptive Wiener Filtering for Class Averaging in Single Particle Reconstruction
* Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation
* Local Affine Frames for Image Retrieval
* Local affine frames for wide-baseline stereo
* Local Affine Image Matching and Synthesis Based on Structural Patterns
* Local Affine Optical Flow Computation
* Local age group modeling in unconstrained face images for facial age classification
* Local Aggregation for Unsupervised Learning of Visual Embeddings
* Local albedo-insensitive single image dehazing
* Local Algorithm for Monitoring Total Suspended Sediments in Micro-Watersheds Usin Drones and Remote Sensing Applications. Case Study: Teusacá River, La Calera, Colombia
* Local Algorithm for Real-Time Junction Detection in Contour Images, A
* Local Algorithm for the Computation of Image Velocity via Constructive Interference of Global Fourier Components, A
* Local Algorithm for the Computation of Optic Flow via Constructive Interference of Global Fourier Components, A
* Local Alignment of Gradient Features for Face Sketch Recognition
* Local Alignments for Fine-Grained Categorization
* Local All-Pass Geometric Deformations
* Local AM/FM Parameters Estimation: Application to Sinusoidal Modeling and Blind Audio Source Separation
* Local Ambiguity Function Shaping via Unimodular Sequence Design
* Local Analysis for 3D Reconstruction of Specular Surfaces
* Local Analysis for 3D Reconstruction of Specular Surfaces: Part II
* Local Analysis of the Image limitations and Uses of Shading
* Local and Global Analysis for Point Cloud Data
* Local and Global Bayesian Network based Model for Flood Prediction
* Local and Global Collaboration for Object Detection Enhancement with Information Redundancy
* Local and global encoder network for semantic segmentation of Airborne laser scanning point clouds
* Local and global evaluation for remote sensing image segmentation
* Local and Global Feature Disentangled Network: Toward Classification of Benign-Malignant Thyroid Nodules From Ultrasound Image, A
* Local and Global Feature Extraction for Face Recognition
* Local and Global Feature Learning for Blind Quality Evaluation of Screen Content and Natural Scene Images
* Local and global feature selection for on-line signature verification
* Local and Global Feature Utilization for Breast Image Classification by Convolutional Neural Network
* Local and Global Fusion Network for Learned Image Compression
* Local and Global GANs With Semantic-Aware Upsampling for Image Generation
* Local and Global Geometric Methods for Analysis Interrogation, Reconstruction, Modification and Design of Shape
* Local and Global Graph Approaches to Image Colorization
* Local and Global Logit Adjustments for Long-Tailed Learning
* Local and Global Optimization Techniques in Graph-Based Clustering
* Local and Global Perception Generative Adversarial Network for Facial Expression Synthesis
* Local and Global Spectral Features for Hyperspectral Image Classification
* Local and Global Statistics-Based Explicit Active Contour for Weld Defect Extraction in Radiographic Inspection
* Local and global tomographic image reconstruction with discrete radon transform
* Local and Global Topology Preservation in Locally Finite Sets of Tiles
* Local and global uncertainty in binary tomographic reconstruction
* Local and holistic texture analysis approach for face recognition
* Local and Multilocal Scale-Space Description
* Local and Non-Local Approximation in Image Processing
* Local and Nonlocal Discrete Regularization on Weighted Graphs for Image and Mesh Processing
* Local and Nonlocal Feature Interaction Network for Pansharpening, A
* Local and Regional Edge Detectors: Some Comparisons
* Local and Semi-Local Shape from Shading for a Simple Perspective Image of a Smooth Object
* Local and Weighted Maximum Margin Discriminant Analysis
* Local Angular Patterns for Color Texture Classification
* Local anisotropy analysis for non-smooth images
* Local anomaly detection in crowded scenes using Finite-Time Lyapunov Exponent based clustering
* Local Anomaly Detection in Videos Using Object-centric Adversarial Learning
* Local appearance-based models using high-order statistics of image features
* Local Appearance for Robust Object Recognition
* Local Application of Optic Flow to Analyse Rigid versus Non-Rigid Motion
* Local Application of Optic Flow to Analyze Rigid versus Non-Rigid Motion
* local approach for 3D object recognition through a set of size functions, A
* Local approach for face verification in polar frequency domain
* Local Approach for Inter-individual Functional Registration, A
* Local Approach for Negative Emotion Detection, A
* Local Approach for Robust Optical Flow Estimation under Varying Illumination, A
* Local Approach To Recovering Global Skewed Symmetry, A
* Local Appropriate Scale in Morphological Scale-Space
* Local approximate 3D matching of proteins in viral cryo-EM density maps
* Local Assessment of Statokinesigram Dynamics in Time: An in-Depth Look at the Scoring Algorithm
* Local Associated Features for Pedestrian Detection
* Local Association Based Recognition of Two-Dimensional Objects
* Local Attention and Global Representation Collaborating for Fine-grained Classification
* Local Attention Pyramid for Scene Image Generation
* Local Attention Transformer-Based Full-View Finger-Vein Identification
* Local autocorrelation of similarities with subspaces for shift invariant scene classification
* Local Autoencoding for Parameter Estimation in a Hidden Potts-Markov Random Field
* Local Azimuth Ambiguity-to-Signal Ratio Estimation Method Based on the Doppler Power Spectrum in SAR Images
* Local Background Enclosure for RGB-D Salient Object Detection
* Local Bag-of-Features Model for Large-Scale Object Retrieval, A
* Local bandwidth constrained fast inverse motion compensation for DCT-domain video transcoding
* Local Basis Representation for Estimating Human Pose from Cluttered Images, A
* Local Bayesian image restoration using variational methods and Gamma-Normal distributions
* Local behavior modeling based on long-term tracking data
* Local Behaviours Labelling for Content Based Video Copy Detection
* Local Bilinear Convolutional Neural Network for Spotting Macro- and Micro-expression Intervals in Long Video Sequences
* Local binary circumferential and radial derivative pattern for texture classification
* Local Binary Convolution Based Prior Knowledge of Multi-Direction Features for Finger Vein Verification
* Local Binary Convolutional Neural Networks
* Local binary features for texture classification: Taxonomy and experimental study
* Local Binary Graph Feature Reduction for Three-dimensional Gabor Filter Based Hyperspectral Image Classification
* Local Binary Pattern-Based Features for Text Identification of Web Images
* Local Binary Pattern-Based Hyperspectral Image Classification With Superpixel Guidance
* Local binary pattern and its derivatives for face recognition
* Local Binary Pattern Approach and its Applications to Face Analysis, The
* Local Binary Pattern Based Fast Digital Image Stabilization
* Local Binary Pattern Circuit Generator With Adjustable Parameters for Feature Extraction
* Local Binary Pattern Descriptors for Dynamic Texture Recognition
* Local binary pattern encoding schemes for computed tomography image segmentation: An experimental and comparative study
* Local Binary Pattern features for pedestrian detection at night/dark environment
* Local Binary Pattern for Word Spotting in Handwritten Historical Document
* Local Binary Pattern histogram based Texton learning for texture classification
* Local Binary Pattern Matching for Fast Retina Map Relocalization Using the Slit-Lamp
* Local binary pattern network: A deep learning approach for face recognition
* Local Binary Pattern Networks
* Local binary pattern probability model based facial feature localization
* Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification
* Local Binary Patterns and Its Application to Facial Image Analysis: A Survey
* Local Binary Patterns as an Image Preprocessing for Face Authentication
* Local Binary Patterns Based on Subspace Representation of Image Patch for Face Recognition
* Local Binary Patterns Calculated over Gaussian Derivative Images
* Local binary patterns for a hybrid fingerprint matcher
* Local Binary Patterns for Graph Characterization
* Local binary patterns for lip motion analysis
* Local binary patterns for multi-view facial expression recognition
* Local binary patterns for noise-tolerant sEMG classification
* Local binary patterns on triangular meshes: Concept and applications
* Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis
* Local Binary Patterns, LBP, Point Features
* Local Binary Patterns, LPB for Texture
* Local Binary Quaternion Rotation Pattern for colour texture retrieval
* Local Block Coordinate Descent Algorithm for the CSC Model, A
* Local Block Multilayer Sparse Extreme Learning Machine for Effective Feature Extraction and Classification of Hyperspectral Images
* Local blur correction for document images
* Local Blur Estimation and Super Resolution
* Local Blur Estimation Based on Toggle Mapping
* Local blur formulation for depth from defocus
* Local Boosted Features for Pedestrian Detection
* Local Branching Heuristic for the Graph Edit Distance Problem, A
* Local brightness adaptive image colour enhancement with Wasserstein distance
* Local Characteristic Image Restoration Based on Convolutional Neural Network, A
* Local Characteristics of Binary Images and Their Application to the Automatic Control of Low-Level Robot Vision
* Local characterization of a maximum set of digital (26, 6)-surfaces
* Local Characterization of Strong Surfaces within Strongly Separating Objects
* Local circular patterns for multi-modal facial gender and ethnicity classification
* Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
* Local climate zone-based urban land cover classification from multi-seasonal Sentinel-2 images with a recurrent residual network
* Local Climate Zone (LCZ) Map Accuracy Assessments Should Account for Land Cover Physical Characteristics that Affect the Local Thermal Environment
* Local Climate Zone Classification by Seasonal and Diurnal Satellite Observations: An Integration of Daytime Thermal Infrared Multispectral Imageries and High-Resolution Night-Time Light Data
* Local climate zone classification using a multi-scale, multi-level attention network
* Local Climate Zone Classification Using Daytime Zhuhai-1 Hyperspectral Imagery and Nighttime Light Data
* Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan China
* Local Climate Zones and Thermal Characteristics in Riyadh City, Saudi Arabia
* Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review
* Local Climate Zones, Land Surface Temperature and Air Temperature Interactions: Case Study of Hradec Králové, the Czech Republic
* Local Clustering Patterns in Polar Coordinate for Face Recognition
* Local Clustering with Mean Teacher for Semi-supervised learning
* Local co-occurrence features in subspace obtained by KPCA of local blob visual words for scene classification
* Local Co-Occurrence Selection via Partial Least Squares for Pedestrian Detection
* Local Colocation Patterns of Crime and Land-Use Features in Wuhan, China, The
* Local Color and Texture Extraction and Spatial Query
* Local Color Correction
* local color descriptor for efficient scene-object recognition, A
* Local Color Descriptor for Object Recognition across Illumination Changes
* Local color distribution projection filtering using a homogeneous coordinate system
* Local Color Distributions Prior for Image Enhancement
* Local color editing using color classification and boundary inpainting
* Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement
* Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization
* Local color transformation analysis for sudden illumination change detection
* Local color vector binary pattern for face recognition
* Local Color Vector Binary Patterns From Multichannel Face Images for Face Recognition
* Local Compact Binary Patterns for Background Subtraction in Complex Scenes
* Local complexity adaptable trajectory partitioning via minimum message length
* Local Computation of Shape
* Local Concave-and-Convex Micro-Structure Patterns for texture classification
* Local concept-based medical image retrieval with correlation-enhanced similarity matching based on global analysis
* Local cone-beam tomography image reconstruction on chords
* Local configurations in discrete combinatorial surfaces
* Local Connectivity-Based Density Estimation for Face Clustering
* Local Consistent Alignment for 3D modeling with an RGB-D camera
* Local consistent hierarchical Hough Match for image re-ranking
* Local Constraint-Based Sparse Manifold Hypergraph Learning for Dimensionality Reduction of Hyperspectral Image
* Local Constraint Integration in a Connectionist Model of Stereo Vision
* Local Context-Aware Active Domain Adaptation
* Local Context and Dimensional Relation Aware Transformer Network for Continuous Affect Estimation
* Local Context Attention for Salient Object Segmentation
* Local Context in Matching Edges for Stereo Vision
* Local context in non-linear deformation models for handwritten character recognition
* Local Context Normalization: Revisiting Local Normalization
* Local Context Priors for Object Proposal Generation
* Local contour descriptors around scale-invariant keypoints
* Local contourlet tetra pattern for image retrieval
* Local contrast enhancement and adaptive feature extraction for illumination-invariant face recognition
* Local Contrast Enhancement based on Adaptive Logarithmic Mappings
* Local contrast measure with iterative error for infrared small target detection
* Local Contrast Method for Small Infrared Target Detection, A
* Local contrast phase descriptor for fingerprint liveness detection
* Local Control of Bias and Tension in Beta-Splines
* Local Convergence Index-Based Infrared Small Target Detection against Complex Scenes
* Local convergence of Cauchy-type methods under hypotheses on the first derivative
* Local convergence of the fuzzy c-Means algorithms
* local convex method for rank-sparsity factorization, A
* Local Convolutional Features with Unsupervised Training for Image Retrieval
* Local Coregistration Adjustment for Anomalous Change Detection
* Local Correlation Consistency for Knowledge Distillation
* Local Correlation Measures for Motion Analysis: A Comparative Study
* Local Correlation Tracking and the Magnetic Induction Equation
* Local correlations, information redundancy, and sufficient pixel depth in natural images
* Local Correspondence-Aware Hybrid CNN-GCN Model for Single-Image Human Body Reconstruction, A
* Local Correspondence for Detecting Random Forgeries
* Local Correspondence Network for Weakly Supervised Temporal Sentence Grounding
* Local Cosine Bases in Two Dimensions
* Local cosine transform-A method for the reduction of the blocking effect in JPEG
* Local Covariance Filtering for Color Images
* Local criteria: a unified approach to local adaptive linear and rank filters for image restoration and enhancement
* Local cross-modality image alignment using unsupervised learning
* Local Culprits of Shape Complexity
* Local curvature entropy-based 3D terrain representation using a comprehensive Quadtree
* Local Decomposition of Gray-Scale Morphological Templates
* Local Deep-Feature Alignment for Unsupervised Dimension Reduction
* Local Deep Descriptor for Remote Sensing Image Feature Matching
* Local Deep Hashing Matching of Aerial Images Based on Relative Distance and Absolute Distance Constraints
* Local Deep Implicit Functions for 3D Shape
* Local Deep Neural Networks for gender recognition
* Local Deformable 3D Reconstruction with Cartan's Connections
* Local deformation models for monocular 3D shape recovery
* Local Deformations of Digital Curves
* Local demodulation of holograms using the Riesz transform with application to microscopy
* Local denoising based on curvature smoothing can visually outperform non-local methods on photographs with actual noise
* Local density adaptive similarity measurement for spectral clustering
* Local Density Encoding for Robust Stereo Matching
* Local Depth Edge Detection in Humans and Deep Neural Networks
* Local depth image enhancement scheme for view synthesis
* Local depth patterns for fine-grained activity recognition in depth videos
* Local Derivative Pattern Based Image Forensic Framework for Seam Carving Detection, A
* Local Derivative Pattern Versus Local Binary Pattern: Face Recognition with High-Order Local Pattern Descriptor
* Local descriptions for human action recognition from 3D reconstruction data
* Local descriptor-based multi-prototype network for few-shot Learning
* local descriptor based on Laplacian pyramid coding for action recognition, A
* Local descriptor based on texture of projections
* local descriptor based registration method for multispectral remote sensing images with non-linear intensity differences, A
* local descriptor for finding corresponding points in vector fields, A
* local descriptor for high-speed and high-performance pictogram matching, A
* Local descriptor for retinal fundus image registration
* Local Descriptor with Physiological Characteristic for Finger Vein Recognition, A
* Local descriptors and similarity measures for frontal face recognition: A comparative analysis
* Local Descriptors Encoded by Fisher Vectors for Person Re-identification
* Local Descriptors for Document Layout Analysis
* Local Descriptors for Spatio-temporal Recognition
* Local descriptors fusion for mobile iris verification
* Local descriptors in application to the aging problem in face recognition
* Local descriptors matching for 3D face recognition
* Local Descriptors Optimized for Average Precision
* Local Detection of Moving Targets in SAR Image Based on NRS Hypotheses
* Local detection of occlusion boundaries in video
* Local Detection of Stereo Occlusion Boundaries
* Local Determination of a Moving Contrast Edge
* Local Development and Gentrification Resulting from the Rehabilitation of Singular Buildings: Analysis of Neural Networks
* Local Diagonal Extrema Pattern: A New and Efficient Feature Descriptor for CT Image Retrieval
* Local difference-based active contour model for medical image segmentation and bias correction
* Local Difference Binary for Ultrafast and Distinctive Feature Description
* Local Difference Probability (LDP)-Based Environment Adaptive Algorithm for Unmanned Ground Vehicle
* Local Differential Privacy Based Membership-Privacy-Preserving Federated Learning for Deep-Learning-Driven Remote Sensing
* Local dip transformation for fast seismic horizon reconstruction
* Local directional double ternary coding pattern for facial expression recognition
* Local directional mask maximum edge patterns for image retrieval and face recognition
* Local Directional Number Pattern for Face Analysis: Face and Expression Recognition
* Local Directional Pattern (LDP): A Robust Image Descriptor for Object Recognition
* Local Directional Pattern Variance (LDPv) Based Face Descriptor for Human Facial Expression Recognition, A
* Local Directional Ternary Pattern for Facial Expression Recognition
* Local directional ternary pattern: A New texture descriptor for texture classification
* Local Directional Texture Pattern image descriptor
* Local directional ZigZag pattern: A rotation invariant descriptor for texture classification
* Local Discriminant Analysis
* Local Discriminant Bases and Their Applications
* Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition
* Local Discriminant Embedding and Its Variants
* Local Discriminant Embedding with Tensor Representation
* Local Discriminant Regions Using Support Vector Machines for Object Recognition
* Local discriminative based sparse subspace learning for feature selection
* Local discriminative distance metrics ensemble learning
* Local discriminative learning for pattern recognition
* Local Discriminative Model for Background Subtraction, A
* Local Disparity Estimation With Three-Moded Cross Census and Advanced Support Weight
* Local Dissimilarity Measures of Frames in Visual Substitution System for Blind People
* Local Distance Comparison for Multiple-shot People Re-identification
* Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation
* Local Distances for Distance Transformations in Two and Three Dimensions
* Local Domain Adaptation for Cross-Domain Activity Recognition
* Local Dominant Orientation Based Mutual Information for Multisensor Template Matching
* Local Drivers of Anthropogenic Climate Change: Quantifying the Impact through a Remote Sensing Approach in Brisbane
* Local Edge-Preserving Multiscale Decomposition for High Dynamic Range Image Tone Mapping
* Local Edge Matching for Seamless Adjacent Spatial Datasets with Sequence Alignment
* Local Effects of Forests on Temperatures across Europe
* Local elastic matching and pattern recognition in MR mammography
* Local Embedding for Axial Attention
* Local Empirical Templates and Density Ratios for People Counting
* Local energy-based multimodal medical image fusion in curvelet domain
* Local energy and pre-envelope
* Local energy oriented pattern for image indexing and retrieval
* Local Energy Pattern for Texture Classification Using Self-Adaptive Quantization Thresholds
* Local energy, the pre-envelope, and filter resolution
* Local enhancement of compressed images
* Local Enhancement of Marine Gravity Field over the Spratly Islands by Combining Satellite SAR Altimeter-Derived Gravity Data
* Local Ensemble Kernel Learning for Object Category Recognition
* Local ensemble learning from imbalanced and noisy data for word sense disambiguation
* Local Entropies for Kernel Selection and Outlier Detection in Functional Data
* Local entropy-based transition region extraction and thresholding
* Local Estimation of High Velocity Optical Flow with Correlation Image Sensor
* Local Estimation of the Uniform Error Threshold
* local evaluation of vectorized documents by means of polygon assignments and matching, A
* Local Evidence Aggregation for Regression-Based Facial Point Detection
* Local Expert Forest of Score Fusion for Video Event Classification
* Local extrema based Digital Dropout detection in degraded archived media
* Local facial asymmetry for expression classification
* Local Facial Attribute Transfer through Inpainting
* Local Facial Makeup Transfer via Disentangled Representation
* Local Fast R-CNN Flow for Object-Centric Event Recognition in Complex Traffic Scenes
* Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification
* Local Feature-Based Photo Album Compression by Eliminating Redundancy of Human Partition
* Local feature aggregation for blind image quality assessment
* Local Feature Aggregation Method for Music Retrieval, A
* Local feature analysis using a sinusoidal signal model derived from higher-order Riesz transforms
* Local feature approach to dorsal hand vein recognition by Centroid-based Circular Key-point Grid and fine-grained matching
* Local Feature Based 3D Face Recognition
* Local Feature Based Breast Tissue Appearance Modelling for Mammographic Risk Assessment
* Local Feature Based Multiple Object Instance Identification Using Scale and Rotation Invariant Implicit Shape Model
* Local Feature Based Online Mode Detection with Recurrent Neural Networks
* Local Feature Based Person Reidentification in Infrared Image Sequences
* Local Feature Based Robust Image Retrieval Algorithm, A
* Local Feature Based Unsupervised Alignment of Object Class Images
* Local Feature Binary Coding for Approximate Nearest Neighbor Search
* Local Feature Descriptor and Derivative Filters for Blind Image Quality Assessment
* Local Feature Descriptor Based on Oriented Structure Maps with Guided Filtering for Multispectral Remote Sensing Image Matching, A
* Local Feature Descriptors with Deep Hypersphere Learning
* Local Feature Detector Using 3-Point Matching and Dynamic-Programming
* Local Feature Discriminant Projection
* Local feature embedding for supervised image classification
* Local Feature Enhancement Network for Set-based Face Recognition
* Local feature extraction and matching on range images: 2.5D SIFT
* Local Feature Extraction for Image Super-Resolution
* Local feature extraction for iris recognition with automatic scale selection
* Local feature extraction for video copy detection in a database
* Local Feature Extraction in Fingerprints by Complex Filtering
* Local Feature Extraction in Log-Polar Images
* Local feature fitting active contour for segmenting vessels in angiograms
* Local Feature Hashing for face recognition
* Local feature hierarchy for face recognition across pose and illumination
* Local Feature Integration Method Using Phase Congruency for Palm Print Authentication
* Local feature learning for face recognition under varying poses
* Local Feature Matching For Face Recognition
* Local Feature Method for the Detection of Flaws in Automated X-Ray Inspection of Castings, A
* Local Feature Reliability Measure Consistent with Match Conditions for Mobile Visual Search
* Local Feature Selection for Data Classification
* Local feature selection for efficient binary descriptor coding
* Local Feature Trajectories for Efficient Event-Based Indexing of Video Sequences
* Local Feature View Clustering for 3D Object Recognition
* local feature with multiple line descriptors and its speeded-up matching algorithm, A
* Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study
* Local Features and Kernels for Classification of Texture and Object Categories: An In-Depth Study
* Local features and sparse representation for face recognition with partial occlusions
* Local Features and Visual Words Emerge in Activations
* Local Features Applied to Dermoscopy Images: Bag-of-Features versus Sparse Coding
* Local features are not lonely: Laplacian sparse coding for image classification
* Local Features Augmenting for Better Image Retrieval
* Local Features Based Facial Expression Recognition with Face Registration Errors
* Local features by intensity increasing tendency for face recognition
* Local Features for Enhancement and Minutiae Extraction in Fingerprints
* Local Features for Forensic Signature Verification
* Local Features for Object Class Recognition
* Local Features of Smooth Shapes: Ridges and Courses
* Local Features State of the Art, Open Problems and Performance Evaluation
* Local Features, All Grown Up
* Local Features, Computation, Analysis
* Local Features, LBP, Patterns, for Pedestrian Detection, People Detection
* Local Feedback-Based Mainstream Traffic Flow Control on Motorways Using Variable Speed Limits
* Local Fisher Discriminant Analysis for Pedestrian Re-identification
* Local Fisher Discriminant Component Hashing for Fast Nearest Neighbor Classification
* Local Fisher Embedding
* Local Flatness Based Variational Approach to Retinex, A
* Local Flow Phase Stretch Transform for Robust Retinal Vessel Detection, A
* Local Fog Detection Based on Saturation and RGB-Correlation
* Local Force Pattern (LFP): Descriptor for Heterogeneous Face Recognition
* Local Fourier phase and disparity estimates: An analytical study
* Local fractal and multifractal features for volumic texture characterization
* Local fractal dimension and binary patterns in texture recognition
* Local Fractional Order Derivative Vector Quantization Pattern for Face Recognition
* Local Freeman Decomposition for Robust Imaging and Identification of Subsurface Anomalies Using Misaligned Full-Polarimetric GPR Data
* Local frequency descriptor for low-resolution face recognition
* Local Frequency Estimation Based on the Wigner Distribution
* Local Frequency Features for Texture Classification
* Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpainting
* Local frequency representations for robust multimodal image registration
* Local fusion networks with chained residual pooling for video action recognition
* Local fuzzy PCA based GMM with dimension reduction on speaker identification
* Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition
* Local Gabor Binary Pattern Whitened PCA: A Novel Approach for Face Recognition from Single Image Per Person
* Local Gabor Binary Patterns Based On Mutual Information For Face Recognition
* Local Gabor phase difference pattern for face recognition
* Local Gabor Phase Quantization Scheme for Robust Leaf Classification
* Local Gaussian Processes for Pose Recognition from Noisy Inputs
* Local Generic Representation for Face Recognition with Single Sample per Person
* Local geometric consistency constraint for image retrieval
* Local Geometric Deformations in the DHT Domain With Applications
* Local Geometric Distortions Resilient Watermarking Scheme Based on Symmetry
* Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery
* Local Geometry-Based Intra Prediction for Octree-Structured Geometry Coding of Point Clouds
* Local Geometry Analysis For Image Tampering Detection
* Local Geometry Inclusive Global Shape Representation
* Local Global Relational Network for Facial Action Units Recognition
* Local Goemetrical Feature With Spatial Context For Shape-Based 3d Model Retrieval
* Local gradient-based illumination invariant face recognition using local phase quantisation and multi-resolution local binary pattern fusion
* Local Gradient Difference Features for Classification of 2D-3D Natural Scene Text Images
* Local Gradient Hexa Pattern: A Descriptor for Face Recognition and Retrieval
* Local Gradient Increasing Pattern (LGIP) for Facial Representation and Gender Recognition
* Local gradient increasing pattern for facial expression recognition
* Local Gradient Order Pattern for Face Representation and Recognition
* Local Gradient, Global Matching, Piecewise-Smooth Optical Flow
* Local Gradients Smoothing: Defense Against Localized Adversarial Attacks
* Local Graph Clustering With Network Lasso
* Local Graph Matching for Face Recognition
* Local Graph Matching for Object Category Recognition
* Local Grayvalue Invariants for Image Retrieval
* Local Group Invariance for Heart Rate Estimation from Face Videos in the Wild
* Local Grouped Invariant Order Pattern for Grayscale-Inversion and Rotation Invariant Texture Classification
* Local grouping for optical flow
* Local Harmonic B_z Algorithm With Domain Decomposition in MREIT: Computer Simulation Study
* Local high-order regularization on data manifolds
* Local Higher-Order Statistics (LHS) describing images with statistics of local non-binarized pixel patterns
* Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis
* Local histogram based classification of SAR images using spatially dependent mixtures
* Local Histogram Based Segmentation Using the Wasserstein Distance
* Local histogram specification for face recognition under varying lighting conditions
* Local histogram specification using learned histograms for face recognition
* Local Hull-Based Surface Construction of Volumetric Data From Silhouettes
* Local Hybrid Coding for Image Classification
* Local Hypersphere Coding Based on Edges between Visual Words
* Local identification and removal of scatter artifacts based on the temporal information in dynamic SPECT images
* Local Illumination Influence on Vegetation Indices and Plant Area Index (PAI) Relationships
* Local Image Continuity Measure and its Application
* local image descriptor based on radial and angular gradient intensity histogram for blurred image matching, A
* Local image descriptor based on spectral embedding
* Local Image Descriptor Robust to Illumination Changes, A
* Local Image Descriptors Using Supervised Kernel ICA
* Local Image Descriptors with Statistical Losses
* Local image feature matching for object recognition
* Local Image Feature Matching Improvements for Omnidirectional Camera Systems
* Local Image Features for Shoeprint Image Retrieval
* Local Image Features Resulting from 3-Dimensional Geometric Features, Illumination, and Movement: I
* Local Image Features Resulting From 3-Dimensional Geometric Features, Illumination, And Movement: II
* Local Image Reconstruction and Subpixel Restoration Algorithms
* Local image region description using orthogonal symmetric local ternary pattern
* Local Image Registration by Adaptive Filtering
* Local Image Registration Uncertainty Estimation Using Polynomial Chaos Expansions
* Local Image Segmentation With Geometric Filters
* Local image statistics: Maximum-entropy constructions and perceptual salience
* Local Image Structure and Procrustes Metrics
* Local image tagging via graph regularized joint group sparsity
* Local image transformation: An application in biological electron microscopy
* Local Implicit Grid Representations for 3D Scenes
* Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution
* Local Implicit Ray Function for Generalizable Radiance Field Representation
* Local information-based fast approximate spectral clustering
* local information-based feature-selection algorithm for data regression, A
* Local Information Assisted Attention-Free Decoder for Audio Captioning
* Local information fusion network for 3D shape classification and retrieval
* Local Initiation Method for Multiple Object Association in Surveillance Environment with Multiple Cameras
* Local integrity constraints for structure detection and segmentation in high-resolution earth observation images
* Local intensity compensation using sparse representation
* Local Intensity Mapping for Hierarchical Non-rigid Registration of Multi-modal Images Using the Cross-Correlation Coefficient
* Local Intensity Order Pattern for feature description
* Local Intensity Order Transformation for Robust Curvilinear Object Segmentation
* Local intensity variation analysis for iris recognition
* Local inter-session variability modelling for object classification
* Local Interpolation in Multiresolution Decomposition of Images
* Local Intrinsic Dimensionality Based Features for Clustering
* Local Invariant Feature Detectors: A Survey
* Local Invariants and Local Constraints for Face Recognition
* Local invariants and twist vectors in computer-aided geometric design
* Local Invariants for Recognition
* Local inverse tone curve learning for high dynamic range image scalable compression
* Local Inverse Tone Mapping for Scalable High Dynamic Range Image Coding
* Local isomorphism to solve the pre-image problem in kernel methods
* Local iterative improvement of fractal image codes
* Local Jet Based Similarity for NL-Means Filtering
* Local joint entropy based non-rigid multimodality image registration
* Local JPEG Grid Detector via Blocking Artifacts, a Forgery Detection Tool
* Local kernels based graph learning for multiple kernel clustering
* Local Kernels That Approximate Bayesian Regularization and Proximal Operators
* Local Knowledge and Professional Background Have a Minimal Impact on Volunteer Citizen Science Performance in a Land-Cover Classification Task
* Local Label Descriptor for Example Based Semantic Image Labeling
* Local Label Probability Propagation for Hyperspectral Image Classification
* Local Land Use Competition Cellular Automata Model and Its Application, A
* Local Laplacian Detail Learning For Face Aging Manipulation
* Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid
* Local Large-Margin Multi-Metric Learning for Face and Kinship Verification
* Local Layering for Joint Motion Estimation and Occlusion Detection
* Local Learned Dictionaries Optimized to Edge Orientation for Inverse Halftoning
* Local Learning Approach for Clustering, A
* Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
* Local Line Derivative Pattern for face recognition
* Local line directional pattern for palmprint recognition
* Local Linear Approximation for Kernel Methods: The Railway Kernel
* Local Linear Convergence of the ADMM/Douglas-Rachford Algorithms without Strong Convexity and Application to Statistical Imaging
* Local Linear Embedding with Adaptive Neighbors
* Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains
* Local linear Laplacian eigenmaps: A direct extension of LLE
* local linear level set method for the binarization of degraded historical document images, A
* Local linear LUT method for spatial colour-correction algorithm speed-up
* Local linear neighbor reconstruction for multi-view data
* Local Linear Regression (LLR) for Pose Invariant Face Recognition
* Local Linear Spatial-Spectral Probabilistic Distribution for Hyperspectral Image Classification
* Local Linear Transforms for Texture Measurements
* Local Lines: A linear time line detector
* Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications
* Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification
* Local low-rank matrix recovery for hyperspectral image denoising with L0 gradient constraint
* Local Low Rank Approximation With a Parametric Disparity Model for Light Field Compression
* Local Manifold-Based Sparse Discriminant Learning for Feature Extraction of Hyperspectral Image
* Local manifold distance based on neighborhood graph reordering
* Local Manifold Learning-Based k-Nearest-Neighbor for Hyperspectral Image Classification
* Local Manifold Matching for Face Recognition
* Local manipulation of image layers using standard image processing primitives
* Local MAP estimation for quality improvement of compressed color images
* Local mapping for multispectral image visualization
* Local matching Gabor entropy weighted face recognition
* Local Matching of Surfaces Using a Boundary-Centered Radial Decomposition
* Local Matrix Feature-Based Kernel Joint Sparse Representation for Hyperspectral Image Classification
* Local matting based on sample-pair propagation and iterative refinement
* Local Maximal Homogeneous Region Search for SAR Speckle Reduction With Sketch-Based Geometrical Kernel Function
* Local maximal margin discriminant embedding for face recognition
* Local Maximum Density Approach for Small-scale Clustering of Urban Taxi Stops
* Local maximum likelihood segmentation of echocardiographic images with Rayleigh distribution
* local mean-based nonparametric classifier, A
* Local Mean Multiphase Segmentation with HMMF Models
* Local mean spatio-temporal feature for depth image-based speed-up action recognition
* Local Median and Other Window Operations on SIMD Computers, The
* Local Median Filtering Method for Correcting the Laser Return Intensity Information from Discrete Airborne Laser Scanning Data, The
* Local Method for Contour Matching and Its Parallel Implementation, A
* Local Method for Curved Edges and Corners
* Local Method of Color-Difference Correction Between Stereoscopic-Video Views
* Local Metric for Defocus Blur Detection Based on CNN Feature Learning, A
* Local Metric Learning for Exemplar-Based Object Detection
* Local Metric Learning in 2D/3D Deformable Registration With Application in the Abdomen
* Local Metric Learning on Manifolds with Application to Query-Based Operations
* Local minima found in the subparameter space can be effective for ensembles of deep convolutional neural networks
* Local minima free Parameterized Appearance Models
* Local Mode Filtering
* Local model-based hyperspectral pansharpening algorithm via optimization constraint equation and sliding window
* local modeling approach of craniofacial shape correlation based on PLSR, A
* local modified Chan-Vese model for segmenting inhomogeneous multiphase images, A
* Local Moment Driven PVO Based Reversible Data Hiding
* Local motion-adaptive interpolation technique based on block matching algorithms
* Local Motion Analysis and Its Application in Video based Swimming Style Recognition
* Local motion analysis in 4D lung CT using fast groupwise registration
* Local motion deblurring using an effective image prior based on both the first- and second-order gradients
* Local Motion Estimation and Resolution Enhancement of Video Sequences
* Local Motion Estimation with the Dynamic Pyramid
* Local Multi-Coordinate System for Object Retrieval
* Local Multi-Grouped Binary Descriptor With Ring-Based Pooling Configuration and Optimization
* Local multi-modal image matching based on self-similarity
* Local multi-robot coordination and experiments
* Local Multi-Scale Feature Aggregation Network for Real-Time Image Dehazing
* Local Multichannel Deconvolution
* Local multiple directional pattern of palmprint image
* Local Multiple Orientation Estimation: Isotropic and Recursive Oriented Network
* Local multiple orientations estimation using k-medoids
* Local multiscale blur estimation based on toggle mapping for sharp region extraction
* Local multiscale frequency and bandwidth estimation
* Local Mutual Information for Dissimilarity-Based Image Segmentation
* Local N-Ary Pattern and Its Extension for Texture Classification
* Local Naive Bayes Nearest Neighbor for image classification
* Local neighbourhood-based robust colour occurrence descriptor for colour image retrieval
* Local Neuron Radius Estimation in Volumetric Microscopy Images
* Local Noise Weighted Filtering for Emphysema Scoring of Low-Dose CT Images
* Local non-linear alignment for non-linear dimensionality reduction
* Local Non-planarity of Three Dimensional Surfaces for an Invertible Reconstruction: k-Cuspal Cells
* Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings
* Local nonlinear dimensionality reduction via preserving the geometric structure of data
* Local norm features based on ridgelets transform
* Local Normal-Based Region Term for Active Contours, A
* Local normal binary patterns for 3D facial action unit detection
* Local normalized linear summation kernel for fast and robust recognition
* Local Novelty Detection in Multi-class Recognition Problems
* Local null space pursuit for real-time moving object detection in aerial surveillance
* Local Occlusion Detection under Deformations Using Topological Invariants
* Local Ontologies Merging in Data Ponds
* Local Operations on Labelled Dots Patterns
* Local operator estimation for single-image super-resolution
* Local Operators to Detect Regions of Interest
* Local Oppugnant Color Texture Pattern for image retrieval system
* Local Optical Operators for Subpixel Scene Analysis
* Local Optimization Based Segmentation of Spatially-Recurring, Multi-Region Objects With Part Configuration Constraints
* Local or Global 3D Face and Facial Feature Tracker
* Local or Global Minima: Flexible Dual-Front Active Contours
* Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels
* Local ordered grey levels as an aid to corner detection
* Local Orientation Analysis in Images by Means of the Hermite Transform
* Local Orientation Coherency Weighted Color Gradient for Edge Detection, A
* Local Orientation Estimation in Corrupted Images
* Local Orientation Extraction for Wordspotting in Syriac Manuscripts
* Local Orientation Patterns for 3D Surface Texture Analysis of Normal Maps: Application to Facial Skin Condition Classification
* Local Orientation Smoothness Prior for Vascular Segmentation of Angiography
* Local Oriented Statistics Information Booster (LOSIB) for Texture Classification
* Local Orthogonal-Group Testing
* Local orthogonal bases
* Local Orthogonal Moments for Local Features
* Local Outlier Detection Based on Kernel Regression
* Local Pairwise Linear Discriminant Analysis for Speaker Verification
* Local Parallel Computation of Stochastic Completion Fields
* Local part chamfer matching for shape-based object detection
* Local part model for action recognition
* Local Patch AutoAugment With Multi-Agent Collaboration
* Local Patch Blind Spectral Watermarking Method for 3D Graphics
* Local Path Planning for Off-Road Autonomous Driving With Avoidance of Static Obstacles
* Local Pattern Collocations Using Regional Co-occurrence Factorization
* Local Patterns and Supergraph for Chemical Graph Classification with Convolutional Networks
* Local patterns constrained image histograms for image retrieval
* Local Persistent Ionospheric Positive Responses to the Geomagnetic Storm in August 2018 Using BDS-GEO Satellites over Low-Latitude Regions in Eastern Hemisphere
* Local perspective based synthesis for vehicle re-identification: A transformation state adversarial method
* Local Perturbation Generation Method for GAN-Generated Face Anti-Forensics, A
* Local Phase-Based Fast Ray Features for Automatic Left Ventricle Apical View Detection in 3D Echocardiography
* local phase based invariant feature for remote sensing image matching, A
* Local phase quantization descriptor for improving shape retrieval/classification
* Local phase quantization descriptors for blur robust and illumination invariant recognition of color textures
* Local phase quantization for blur-insensitive image analysis
* Local Phase Tensor Features for 3-D Ultrasound to Statistical Shape+Pose Spine Model Registration
* Local Phase Velocity Based Imaging: A New Technique Used for Ultrasound Shear Wave Elastography
* Local picture languages
* Local PM2.5 Hotspot Detector at 300 m Resolution: A Random Forest-Convolutional Neural Network Joint Model Jointly Trained on Satellite Images and Meteorology
* Local Polar DCT Features for Image Description
* Local Polynomial Approximation for Unsupervised Segmentation of Endoscopic Images
* Local polynomial space-time descriptors for action classification
* Local Population Mapping Using a Random Forest Model Based on Remote and Social Sensing Data: A Case Study in Zhengzhou, China
* Local positioning apparatus, and a method therefor
* Local Positioning System of a Mobile Robot: A Practical Perspective
* Local Potential Well Space Embedding
* Local prediction based adaptive scanning for JPEG and H.264/AVC intra coding
* Local prediction of non-linear time series using support vector regression
* Local primitive code mining for fast and accurate face recognition
* Local Primitive Pattern for the Classification of SAR Images
* Local probabilistic descriptors for image categorisation
* Local Probabilistic Prior-Based Active Contour Model for Brain MR Image Segmentation, A
* Local probability based safe region detection for autonomous driving
* Local Projection-Based Approach to Individual Tree Detection and 3-D Crown Delineation in Multistoried Coniferous Forests Using High-Density Airborne LiDAR Data, A
* Local Projective and Affine Invariants
* Local Projective Shape of Smooth Surfaces and Their Outlines, The
* Local Propagation for Few-Shot Learning
* Local Properties of Binary Image in Two Dimensions
* Local Prototype Space-based Band Selection for Hyperspectral Subpixel Analysis
* Local Proximity for Enhanced Visibility in Haze
* Local pseudo-attributes for long-tailed recognition
* Local Pyramidal Descriptors for Image Recognition
* Local Q-convexity Histograms for Shape Analysis
* Local Quality Method for the Iris Image Pattern
* Local Quantitative Measurements for Cardiac Motion Analysis
* Local Quaternion PHT Based Robust Color Image Watermarking Algorithm
* Local R3-Subdivision Algorithm preserving Sharp Features, A
* Local Rademacher Complexity for Multi-Label Learning
* Local radiometric correction of digital aerial photographs for multi-source forest inventory
* Local radon descriptors for image search
* Local Ramp Metering in the Presence of a Distant Downstream Bottleneck: Theoretical Analysis and Simulation Study
* Local Rank Differences Image Feature Implemented on GPU
* Local rank transform: Properties and applications
* local Rayleigh model with spatial scale selection for ultrasound image segmentation, A
* Local Readjustment for High-Resolution 3D Reconstruction
* Local Reasoning in Fuzzy Attribute Graphs for Optimizing Sequential Segmentation
* Local receptive field constrained stacked sparse autoencoder for classification of hyperspectral images
* Local Reconstruction Error Alignment: A Fast Unsupervised Feature Selection Algorithm for Radar Target Clustering
* Local recurrence based performance prediction and prognostics in the nonlinear and nonstationary systems
* Local reference lines for handwritten phrase recognition
* Local refinement for 3D deformable parametric surfaces
* Local Refinement for Stereo Regularization
* Local Region-based Approach to Gender Classification From Face Images, A
* local region based approach to lip tracking, A
* Local Region Descriptors for Active Contours Evolution
* Local Region Expansion: A Method for Analyzing and Refining Image Matches
* Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection
* Local Region Proposing for Frame-Based Vehicle Detection in Satellite Videos
* Local registration and deformation of a road cartographic database on a SPOT satellite image
* Local Regression Based Hourglass Network for Hand Pose Estimation from a Single Depth Image
* Local Regression Based Statistical Model Fitting
* Local Regression Learning via Forest Classification for 2D/3D Deformable Registration
* Local Regression Model for Automatic Face Sketch Generation
* Local Regression Ranking for Saliency Detection
* Local regularity-based image denoising
* Local Regularity-Driven City-Scale Facade Detection from Aerial Images
* Local Regularization for Multiclass Classification Facing Significant Intraclass Variations
* Local Regularized Least-Square Dimensionality Reduction
* Local Reinforcement Learning for Object Recognition
* Local relation network with multilevel attention for visual question answering
* Local Relation Networks for Image Recognition
* Local Relational String for Textures Classification
* Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection
* Local relative location error descriptor-based fingerprint minutiae matching
* Local relative transformation with application to isometric embedding
* local relaxation method for optical flow estimation, A
* Local Representation Learning with A Convolutional Autoencoder
* Local Representation of 3D Free-Form Contours for Pose Estimation
* Local Representations for Multi-object Recognition
* Local Reproducible Smoothing without Shrinkage
* Local Response Context Applied to Pedestrian Detection
* Local Riesz Pyramid for Faster Phase-Based Video Magnification
* Local Rotation Invariant Patch Descriptors for 3D Vector Fields
* Local Rotational Symmetries
* Local saliency-inspired binary patterns for automatic recognition of multi-view facial expression
* Local Scale (3-m) Soil Moisture Mapping Using SMAP and Planet SuperDove
* Local Scale Control for Edge Detection and Blur Estimation
* Local Scale Controlled Anisotropic Diffusion with Local Noise Estimate for Image Smoothing and Edge Detection
* Local Scale Measure for Remote Sensing Images
* Local Scale Selection for Gaussian Based Description Techniques
* Local Scale Selection Scheme for Multiscale Area Integral Invariants, A
* Local scene flow by tracking in intensity and depth
* Local search-embedded genetic algorithms for feature selection
* Local Search Algorithms for Geometric Object Recognition: Finding the Optimal Correspondence and Pose
* Local Search as a Tool for Horizon Line Matching
* Local Segmentation for Pedestrian Tracking in Dense Crowds
* Local Segregation of Realised Niches in Lizards
* Local selected features of dual-tree complex wavelet transform for single sample face recognition
* Local Selective Vision Transformer for Depth Estimation Using a Compound Eye Camera
* Local Self-Expression Subspace Learning Network for Motion Capture Data
* Local self-similarity-based registration of human ROIs in pairs of stereo thermal-visible videos
* Local self-similarity as a dense stereo correspondence measure for themal-visible video registration
* Local self-similarity frequency descriptor for multispectral feature matching
* Local Semantic-Aware Deep Hashing With Hamming-Isometric Quantization
* Local Semantic Classification of Natural Image Based on Spatial Context
* Local Semantic Correlation Modeling Over Graph Neural Networks for Deep Feature Embedding and Image Retrieval
* Local Semantic Enhanced ConvNet for Aerial Scene Recognition
* Local Semantic Siamese Networks for Fast Tracking
* Local sensing with global recovery
* Local Severe Storm Tracking and Warning in Pre-Convection Stage from the New Generation Geostationary Weather Satellite Measurements
* Local Shading Analysis
* Local Shape Approximation from Shading
* Local shape blending using coherent weighted regions
* Local Shape Context Based Real-time Endpoint Body Part Detection and Identification from Depth Images
* local shape descriptor for mobile linedrawing retrieval, A
* Local shape descriptor selection for object recognition in range data
* Local Shape Descriptors, A Survey And Evaluation
* Local shape estimation from a single keypoint
* Local shape features for object recognition
* Local Shape from Mirror Reflections
* Local Shape from Specularity
* Local Shape Modelling Using Warplets
* Local shape recognition for mobile applications
* Local Shape Registration Using Boundary-Constrained Match of Skeletons
* Local Shape Representation in 3D: From Weighted Spherical Harmonics to Spherical Wavelet
* Local Shape Spectrum Analysis for 3D Facial Expression Recognition
* Local Shape Transfer for Image Co-segmentation
* Local Signal Equalization for Correspondence Matching
* Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person
* Local similarity measures for lesion registration in DCE-MRI of the breast
* Local similarity refinement of shape-preserved warping for parallax-tolerant image stitching
* Local Single-Patch Features for Pose Estimation Using the Log-Polar Transform
* Local Skew Angle Estimation from Background Space in Text Regions
* Local smoothing for manifold learning
* Local Smoothness Enforced Cost Volume Regularization for Fast Stereo Correspondence
* Local Smoothness in terms of Variance: the Adaptive Gaussian Filter
* Local sparse appearance model with specific structural information in infrared pedestrian tracking
* Local Sparse Discriminant Analysis for Robust Face Recognition
* Local Sparse Representation Based Classification
* Local Sparse Structure Denoising for Low-Light-Level Image
* Local Spatial Co-occurrence for Background Subtraction via Adaptive Binned Kernel Estimation
* Local spatial correlation-based stripe non-uniformity correction algorithm for single infrared images
* Local Spatial Frequence Analysis for Computer Vision
* Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry, A
* local spatiocolor analysis applied to pattern segmentation, A
* Local spatiotemporal features for dynamic texture synthesis
* Local Spectra Features Extraction Based-on 2d Pseudo-wigner Distribution for Texture Analysis
* Local Spectral Analysis of the Cerebral Cortex: New Gyrification Indices
* Local Spectral Component Decomposition for Multi-Channel Image Denoising
* local spectral distribution approach to face recognition, A
* Local Spectral Graph Convolution for Point Set Feature Learning
* local spectral inversion of a linearized TV model for denoising and deblurring, A
* Local Spectral Similarity Preserving Regularized Robust Sparse Hyperspectral Unmixing
* Local spectral unmixing for target detection
* local start search algorithm to compute exact Hausdorff Distance for arbitrary point sets, A
* Local Statistic Based Region Segmentation with Automatic Scale Selection
* Local statistics estimation for rapid frequency selective extrapolation
* Local Steerable Phase (LSP) Feature for Face Representation and Recognition
* Local Step Edge Estimation: A New Algorithm, Statistical Model and Performance Evaluation
* Local stereo matching algorithm with efficient matching cost and adaptive guided image filter
* Local stereo matching using geodesic support weights
* Local stereo matching with 3D adaptive cost aggregation for slanted surface modeling and sub-pixel accuracy
* Local stereo matching with adaptive support-weight, rank transform and disparity calibration
* Local stereo matching with canny segmentation and reliable seed propagation
* Local Stereo Matching with Edge-Based Cost Aggregation and Occlusion Handling
* Local Stereo Matching with Improved Matching Cost and Disparity Refinement
* Local Stereo Matching with Segmentation-based Outlier Rejection
* Local Stereoscopic Depth Estimation Using Ocular Stripe Maps
* Local Stereoscopic Depth Estimation
* Local stereovision matching through the ADALINE neural network
* Local Straightness: A Contrast Independent Statistical Edge Measure for Color and Gray Level Images
* Local Structural Association for Retrieval and Recognition of Signature Images
* Local Structure-Based Image Decomposition for Feature Extraction With Applications to Face Recognition
* Local Structure Analysis by Isotropic Hilbert Transforms
* Local Structure and Direction-Aware Optimization Approach for Three-Dimensional Tree Modeling, A
* Local structure based sparse representation for face recognition with single sample per person
* Local structure based supervised feature extraction
* Local Structure Detection with Orientation-invariant Radial Configuration
* Local Structure in Images from Entropy Production
* Local Structure Matching Approach for Large Image Database Retrieval, A
* Local Structure of Image Discontinuities in One Dimension, The
* Local Structure of Image Intensity Discontinuities, The
* Local Structure of Movement Parallax of the Plane
* Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain Tumor Segmentation
* Local structured feature learning with dynamic maximum entropy graph
* Local Subclass Constraint for Facial Expression Recognition in the Wild
* Local Submodularization for Binary Pairwise Energies
* Local Subpixel Coregistration of Interferometric Synthetic Aperture Radar Images Based on Fractal Models
* Local Subspace Classifier with Gabor Filter Decomposition for Image Classification
* Local Subspace Classifier with Transformation Invariance for Appearance-Based Character Recognition in Natural Images
* Local Subspace Collaborative Tracking
* Local subspace method for pattern recognition
* Local Supports Global: Deep Camera Relocalization With Sequence Enhancement
* Local Surface Interpolation with Bezier Patches
* Local surface sampling step estimation for extracting boundaries of planar point clouds
* Local Surface Shape Estimation of 3-D Textured Surfaces Using Gaussian Markov Random Fields and Stereo
* Local Symmetries of Digital Contours from Their Chain Codes
* Local Symmetries of Shapes in Arbitrary Dimension
* Local Symmetry Detection in Natural Images Using a Particle Filtering Approach
* Local Symmetry Features in Image Processing
* Local Symmetry Modeling in Multi-Dimensional Images
* local tangent plane distance-based approach to 3D point cloud segmentation via clustering, A
* Local tangent space based manifold entropy for image retrieval
* Local Temperature Scaling for Probability Calibration
* Local Temporal Bilinear Pooling for Fine-Grained Action Parsing
* Local Temporal Pattern and Data Augmentation for Spotting Micro-Expressions
* Local tensor descriptor from micro-deformation analysis
* Local ternary pattern based on path integral for steganalysis
* local ternary pattern encoder-decoder neural network for dental image segmentation, The
* Local Ternary Patterns and Maximum Bipartite Matching for Face Recognition
* Local Tests for Consistency of Support Hyperplane Data
* Local Tetra Patterns: A New Feature Descriptor for Content-Based Image Retrieval
* Local Texture and Geometry Descriptors for Fast Block-Based Motion Estimation of Dynamic Voxelized Point Clouds
* Local texture based optical flow for complex brightness variations
* Local Texture Complexity Guided Adversarial Attack
* Local Texture Estimator for Implicit Representation Function
* Local texture patterns for traffic sign recognition using higher order spectra
* Local texture synthesis: A static texture coding algorithm fully compatible with HEVC
* Local Three-Dimensional Shape-Preserving Smoothing without Shrinkage
* local thresholding approach to flood water delineation using Sentinel-1 SAR imagery, A
* Local Time-Domain Spherical Harmonic Spatial Encoding for Wave-Based Acoustic Simulation
* Local to Global Feature Learning for Salient Object Detection
* Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks
* Local to global purification strategy to realize collaborative camouflaged object detection
* Local to Global with Multi-Scale Attention Network for Person Re-Identification
* Local to Global: Efficient Visual Localization for a Monocular Camera
* Local to non-local: Multi-scale progressive attention network for image restoration
* Local Tomography and the Motion Estimation Problem
* Local tomography in fan-beam geometry using wavelets
* Local Topographic Shape Patterns for Texture Description
* Local Topological Parameters in a Tetrahedral Representation
* Local topology similarity guided probabilistic sampling for mismatch removal
* Local tracing of curvilinear structures in volumetric color images: Application to the Brainbow analysis
* Local Traffic Aware Unicast Routing Scheme for Connected Car System
* Local Transform Features and Hybridization for Accurate Face and Human Detection
* Local transforms for biomedical image analysis
* Local trend discovery on real-time microblogs with uncertain locations in tight memory environments
* Local Trinary Patterns for human action recognition
* Local Triplet Pattern for Content-Based Image Retrieval
* Local Turn-Boundedness: A Curvature Control for a Good Digitization
* Local Turn-Boundedness: A Curvature Control for Continuous Curves with Application to Digitization
* Local two-channel critically sampled filter-banks on graphs
* Local Two-Dimensional Canonical Correlation Analysis
* Local value difference metric
* Local Variance-Based Bilateral Filtering for Artifact-Free Detail- and Edge-Preserving Smoothing, A
* Local Variance-Controlled Forward-and-Backward Diffusion for Image Enhancement and Noise Reduction
* Local Variance Driven Self-Organization for Unsupervised Clustering
* Local variance image-based for scene text binarization under illumination effects
* Local Variation as a Statistical Hypothesis Test
* Local vector pattern in high-order derivative space for face recognition
* Local Vector Tomography by Use of Wavelets
* Local Vegetation Trends in the Sahel of Mali and Senegal Using Long Time Series FAPAR Satellite Products and Field Measurement (1982-2010)
* Local velocity-adapted motion events for spatio-temporal recognition
* Local versus Global Decisions in Image Recognition
* Local versus global features for content-based image retrieval
* Local versus Global in Quasi-Conformal Mapping for Medical Imaging
* Local versus Global Segmentation for Facial Expression Recognition
* Local Versus Global Variational Approaches to Enhance Watershed Transformation Based Individual Tree Crown Segmentation of Digital Surface Models From 3k Optical Imagery
* Local Versus Nonlocal Computation of Length of Digitized-Curves
* Local visual features extraction from texture+depth content based on depth image analysis
* Local Visual Operator Which Recognizes Edges and Lines, A
* Local visual patch for 3d shape retrieval
* Local Visual Primitives (LVP) for Face Modelling and Recognition
* Local Volumetric Hybrid-Map-Based Simultaneous Localization and Mapping With Moving Object Tracking
* Local voxelized structure for 3D local shape description: A binary representation
* Local Wall-Motion Classification in Echocardiograms Using Shape Models and Orthomax Rotations
* Local water diffusion phenomenon clustering from high angular resolution diffusion imaging (HARDI)
* Local wavelength estimation for magnetic resonance elastography
* Local Wavelet Acoustic Pattern: A Novel Time-Frequency Descriptor for Birdsong Recognition
* Local Wavelet Features for Statistical Object Classification and Localization
* Local Wavelet Pattern: A New Feature Descriptor for Image Retrieval in Medical CT Databases
* Local Wavelet Transform Implementation Versus an Optimal Row-column Algorithm for the 2-D Multilevel Decomposition, A
* Local Wavelets Decomposition for 3-D Surfaces
* Local Web Advertisement Through Dynamic Active Proxy
* Local Weight Selection for Two-Dimensional Phase Unwrapping
* Local weighted Gaussian curvature for image processing
* Local within-class accuracies for weighting individual outputs in multiple classifier systems
* Local Zernike Moments: A new representation for face recognition
* Local Zerotree Coding
* Local, Daily, and Total Bio-Optical Models of Coastal Waters of Manfredonia Gulf Applied to Simulated Data of CHRIS, Landsat TM, MIVIS, MODIS, and PRISMA Sensors for Evaluating the Error
* Local, Global, and Multilevel Stereo Matching
* Local, Polynomial G1 PN Quads
* Local/global scene flow estimation
* LocalBins: Improving Depth Estimation by Learning Local Distributions
* LocalDrop: A Hybrid Regularization for Deep Neural Networks
* Locale-Based Object Search Under Illumination Change Using Chromaticity Voting And Elastic Correlation
* Locale-based Visual Object Retrieval Under Illumination Change
* Locale Group Based Line Segmentation Approach for Non Uniform Skewed and Curved Arabic Handwritings, A
* LocalFace: Learning significant local features for deep face recognition
* Localin Reshuffle Net: Toward Naturally and Efficiently Facial Image Blending
* Localisation-based autonomous vehicle rear-end collision avoidance by emergency steering
* Localisation algorithm for security access control in railway communications
* Localisation and augmented reality for mobile applications in Cultural Heritage
* Localisation and Mapping of Self-driving Vehicles based on Fuzzy K-means Clustering: A Non-semantic Approach
* Localisation and segmentation of optic disc with the fractional-order Darwinian particle swarm optimisation algorithm
* Localisation and Tracking of an Airport's Approach Lighting System
* Localisation for Augmented Reality at Sport Events
* Localisation of Defects in Volumetric Computed Tomography Scans of Valuable Wood Logs
* Localisation of Image Features Using Measures of Rank Distribution
* Localisation of multiple faults in motorcycles based on the wavelet packet analysis of the produced sounds
* Localisation of the optic disc by means of GA-optimised Topological Active Nets
* Localisation of topological features using 3D object representations
* Localisation via Deep Imagination: Learn the Features Not the Map
* Localisebot: Multi-view 3d Object Localisation with Differentiable Rendering for Robot Grasping
* Localised edge-region-based active contour for medical image segmentation
* Localised Mixture Models in Region-Based Tracking
* Localised rank-ordered differences vector filter for suppression of high-density impulse noise in colour images
* Localising In Complex Scenes Using Balanced Adversarial Adaptation
* Localising Surface Defects in Random Colour Textures Using Multiscale Texem Analysis in Image Eigenchannels
* Locality-Adaptive Structured Dictionary Learning for Cross-Domain Recognition
* Locality-Aware Crowd Counting
* Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning
* locality-aware peer-to-peer approach for geospatial web services discovery, A
* Locality-aware subgraphs for inductive link prediction in knowledge graphs
* Locality-Aware Transformer for Video-Based Sign Language Translation
* Locality-Based Discriminant Feature Selection with Trace Ratio
* Locality-Constrained Active Appearance Model
* Locality-constrained affine subspace coding for image classification and retrieval
* Locality-constrained and spatially regularized coding for scene categorization
* Locality-Constrained Collaborative Model for Robust Visual Tracking
* Locality-Constrained Collaborative Sparse Approximation for Multiple-Shot Person Re-identification
* Locality-constrained discriminative learning and coding
* Locality-constrained group lasso coding for microvessel image classification
* Locality-Constrained Group Sparse Representation for Robust Face Recognition
* Locality-constrained Linear Coding for image classification
* Locality-constrained Low Rank Coding for face recognition
* Locality-constrained matrix regression for position-patch based face hallucination
* Locality-constrained max-margin sparse coding
* Locality-Constrained Multi-Task Joint Sparse Representation for Image Classification
* Locality-Constrained Sparse Auto-Encoder for Image Classification
* Locality-Constrained Sparse Reconstruction for Trajectory Classification
* Locality-Guided Global-Preserving Optimization for Robust Feature Matching
* Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis
* Locality-Promoting Representation Learning
* Locality-Regularized Linear Regression for face recognition
* Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation
* Locality-sensitive dictionary learning for sparse representation based classification
* Locality-Sensitive Hashing for Chi2 Distance
* Locality-sensitive hashing for region-based large-scale image indexing
* Locality-sensitive kernel sparse representation classification for face recognition
* Locality-sensitive support vector machine by exploring local correlation and global regularization
* Locality and Adjacency Stability Constraints for Morphological Connected Operators
* Locality and context-aware top-down saliency
* Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
* Locality based discriminative measure for multiple-shot person re-identification
* Locality constrained dictionary learning for non-linear dimensionality reduction and classification
* Locality Constrained Dictionary Learning for Nonlinear Dimensionality Reduction
* Locality Constrained Encoding Graph Construction and Application to Outdoor Object Classification
* Locality Constrained Low Rank Representation and Automatic Dictionary Learning for Hyperspectral Anomaly Detection
* Locality Constrained Sparse Representation for Cat Recognition
* Locality constraint distance metric learning for traffic congestion detection
* Locality constraint neighbor embedding via KPCA and optimized reference patch for face hallucination
* locality correlation preserving support vector machine, A
* Locality Filtering for Efficient Ride Sharing Platforms
* Locality Guidance for Improving Vision Transformers on Tiny Datasets
* Locality in Generic Instance Search from One Example
* Locality in multi-label classification problems
* Locality preserving and global discriminant projection with prior information
* Locality preserving binary face representations using auto-encoders
* Locality preserving CCA with applications to data visualization and pose estimation
* Locality preserving constraints for super-resolution with neighbor embedding
* Locality Preserving Discriminative Complex-Valued Latent Variable Model
* Locality preserving discriminative dictionary learning
* Locality preserving hashing
* Locality Preserving Joint Transfer for Domain Adaptation
* Locality Preserving Matching
* Locality preserving multi-nominal logistic regression
* Locality preserving partial least squares for neighbor embedding-based face hallucination
* Locality preserving projection based on Euler representation
* Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction
* Locality Preserving Property Constrained Contrastive Learning for Object Classification in SAR Imagery
* Locality Preserving Robust Regression for Jointly Sparse Subspace Learning
* Locality pursuit embedding
* Locality Regularization Embedding for face verification
* Locality regularized group sparse coding for action recognition
* Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images
* Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
* Locality sensitive dictionary learning for image classification
* Locality sensitive discriminative dictionary learning
* Locality sensitive hashing based space partitioning approach for indexing multidimensional feature vectors of fingerprint image data
* Locality sensitive hashing scheme based on online-learning
* Locality Sensitive Hashing Using GMM
* Locality sensitive hashing: A comparison of hash function types and querying mechanisms
* Locality Sensitive Low-Rank Model for Image Tag Completion, A
* Locality Sensitive Pseudo-Code for Document Images
* Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
* Localizability Constraint-Based Path Planning Method for Autonomous Vehicles, A
* Localization-Aware Active Learning for Object Detection
* Localization-Based Sensor Validation Using the Kullback-Leibler Divergence
* Localization accuracy of interest point detectors with different scale space representations
* Localization accuracy of region detectors
* Localization Algorithm Based on V2I Communications and AOA Estimation, A
* Localization algorithms for multilateration (MLAT) systems in airport surface surveillance
* Localization and characterization of simple defects in finite-sized photonic crystals
* Localization and classification based on projections
* Localization and Classification of Parasitic Eggs in Microscpic Images Using An Efficientdet Detector
* Localization and classification of partially overlapped objects using self-organizing trees
* Localization and Correction of Corrupted Pixel Blocks in Noisy Encrypted Images
* Localization and Extraction of Road Poles in Urban Areas from Mobile Laser Scanning Data
* Localization and extraction of the four clock-digits using the knowledge of the digital video clock
* Localization and Generation of Building Models
* Localization and Homing Using Combinations of Model Views
* Localization and Image Reconstruction in a STORM Based Super-resolution Microscope
* Localization and Mapping for Autonomous Navigation in Outdoor Terrains: A Stereo Vision Approach
* Localization and Noise in Edge Detection
* Localization and pose estimation of textureless objects for autonomous exploration missions
* Localization and Positioning Using Combinations of Model Views
* Localization and Recognition of Dynamic Hand Gestures Based on Hierarchy of Manifold Classifiers
* Localization and Security Enhancement of Block-based Image Authentication
* Localization and Segmentation of 3D Intervertebral Discs in MR Images by Data Driven Estimation
* Localization and Segmentation of A 2D High Capacity Color Barcode
* Localization and segmentation of aortic endografts using marker detection
* Localization and Tracking in 4D Fluorescence Microscopy Imagery
* Localization and tracking in known large environments using portable real-time 3D sensors
* Localization and Tracking System Using Single WiFi Link, A
* Localization and Trajectory Reconstruction in Surveillance Cameras with Nonoverlapping Views
* Localization and Transformation Reconstruction of Image Regions: An Extended Congruent Triangles Approach
* Localization Based on Building Recognition
* Localization based on DEM matching using multiple aerial image pairs
* Localization Based on Semantic Map and Visual Inertial Odometry
* Localization Based on the Gradient Information for Dem matching
* Localization Distillation for Dense Object Detection
* Localization Distillation for Object Detection
* Localization for Intelligent Vehicles in Underground Car Parks Based on Semantic Information
* Localization Framework under Non-rigid Deformation for Robotic Surgery, A
* Localization Free Super-Resolution Microbubble Velocimetry Using a Long Short-Term Memory Neural Network
* Localization in the Parking Lot by Parked-Vehicle Assistance
* Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation
* Localization in Urban Environments: Monocular Vision Compared to a Differential GPS Sensor
* Localization in Wireless Sensor Networks
* Localization Integrity for Intelligent Vehicles Through Fault Detection and Position Error Characterization
* Localization of 2D Cameras in a Known Environment Using Direct 2D-3D Registration
* Localization of 3D Anatomical Structures Using Random Forests and Discrete Optimization
* Localization of 3D objects using model-constrained SLAM
* Localization of a mobile laser scanner via dimensional reduction
* Localization of abnormal EEG sources using blind source separation partially constrained by the locations of known sources
* Localization of acupoints on a head based on a 3D virtual body
* Localization of ahead vehicles with on-board stereo cameras
* Localization of an unmanned ground vehicle using 3D registration of laser range data and DSM
* Localization of cardiac cavities using hierarchically search in 2D grayscale ultrasound images
* Localization of cellular structures
* Localization of Circular Objects
* Localization of Colored Objects
* Localization of corresponding points in fingerprints by complex filtering
* Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning
* Localization of Deep Inpainting Using High-Pass Fully Convolutional Network
* Localization of detected objects in multi-camera network
* Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images
* Localization of Digit Strings in Farsi/Arabic Document Images Using Structural Features and Syntactical Analysis
* Localization of Dominant Points for Image-Coding
* Localization of Dominant Points for Object Recognition: A Scale-Space Approach
* Localization of Drosophila embryos using connected components in scale space
* Localization of epileptogenic zones in F-18 FDG brain PET of patients with temporal lobe epilepsy using artificial neural network
* Localization of eye Saccadic signatures in Electrooculograms using sparse representations with data driven dictionaries
* Localization of fiducial skin markers in MR images using correlation pattern recognition for PET/MRI nonrigid breast image registration
* Localization of Fluorescent Targets in Deep Tissue With Expanded Beam Illumination for Studies of Cancer and the Brain
* Localization of GNSS Spoofing Interference Source Based on a Moving Array Antenna
* Localization of intravascular devices with paramagnetic markers in MR images
* Localization of JPEG Double Compression Through Multi-domain Convolutional Neural Networks
* Localization of Lesions in Dermoscopy Images Using Ensembles of Thresholding Methods
* Localization of Map Changes by Exploiting SLAM Residuals
* Localization of mobile laser scanner using classical mechanics
* Localization of Mobile Robots Based on Depth Camera
* Localization of More Sources Than Sensors via Jointly-Sparse Bayesian Learning
* Localization of mountain glacier termini in Landsat multi-spectral images
* Localization of Multi-pose and Occluded Facial Features via Sparse Shape Representation
* Localization of Near-Field Sources for Exact Source-Sensor Spatial Geometry
* Localization of noncircular iris boundaries using morphology and arched Hough transform
* Localization of Objects from Range Data
* Localization of Objects in Electric Distribution Systems by Using Segmentation and 3D Template Matching with M-estimators
* Localization of Objects in Noisy Scenes for Robotics Applications Using Wigner Distribution
* Localization of Objects with Circular Symmetry in a Noisy Image Using Wavelet Transforms and Adapted Correlation
* Localization of Pathology On Complex Architecture Building Surfaces
* Localization of Piled Boxes by Means of the Hough Transform
* Localization of Pointed-At Word in Printed Documents via a Single Neural Network
* Localization of saliency through iterative voting
* Localization of Shapes Using Statistical Models and Stochastic Optimization
* Localization of skin features on the hand and wrist from small image patches
* Localization of sparse image tampering via random projections
* Localization of spherical fruits for robotic harvesting
* Localization of static target in WSNs with least-squares and extended Kalman filter
* Localization of tampering in contrast and brightness adjusted images using distributed source coding and expectation maximization
* Localization of Taps on Solid Surfaces for Human-Computer Touch Interfaces
* Localization of the Chang'e-5 Lander Using Radio-Tracking and Image-Based Methods
* Localization of the Interfaces of a Slab Hidden Behind a Wall
* Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning
* Localization or Globalization? Determination of the Optimal Regression Window for Disaggregation of Land Surface Temperature
* Localization Properties of Direct Corner Detectors
* Localization Recall Precision (LRP): A New Performance Metric for Object Detection
* Localization Scale Selection for Scale-Space Segmentation
* Localization Uncertainty-Based Attention for Object Detection
* Localization Uncertainty Estimation for Anchor-free Object Detection
* Localization Using Combinations of Model Views
* Localization using Multi-Focal Spatial Attention for Masked Face Recognition
* Localization using RGB-D cameras orthoimages
* Localization via Visible Light Systems
* Localization, extraction and recognition of text in Telugu document images
* Localization, Georeference, Urban Regions, City Models, Building Models
* Localization, GPS Assisted, GNSS Assisted, Guidance System Assisted, Other Annotation
* Localization, LiDAR, Laser, Depth, 3D Data, Range Based
* Localization, RFID Tags
* Localization, Stability, and Resolution of Topological Derivative Based Imaging Functionals in Elasticity
* Localization, Where is the robot, Where is the camera
* localization/verification scheme for finding text in images and video frames based on contrast independent features and machine learning methods, A
* Localize Me Anywhere, Anytime: A Multi-task Point-Retrieval Approach
* Localize to Binauralize: Audio Spatialization from Visual Sound Source Localization
* Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection
* Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling
* Localized 2-D filter-based linear coherent noise attenuation
* Localized adaptive learning of Mixture of Gaussians models for background extraction
* Localized Adversarial Domain Generalization
* Localized algorithms for multiple kernel learning
* Localized and computationally efficient approach to shift-variant image deblurring
* Localized anomaly detection via hierarchical integrated activity discovery
* Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling, A
* Localized Compression of Video Conferencing
* Localized Consistency Principle for Image Matching under Non-uniform Illumination Variation and Affine Distortion, The
* Localized content-based image retrieval through evidence region identification
* Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning
* Localized Content-Based Image Retrieval
* Localized Content Based Image Retrieval by Multiple Instance Active Learning
* Localized curvature-based combinatorial subgraph sampling for large-scale graphs
* Localized Deep Extreme Learning Machines for Efficient RGB-D Object Recognition
* Localized Dictionaries Based Orientation Field Estimation for Latent Fingerprints
* Localized Distortion Estimation from Already Compressed JPEG2000 Images
* Localized document image change detection
* Localized Downscaling of Urban Land Surface Temperature: A Case Study in Beijing, China
* Localized Earth Mover's Distance for Robust Histogram Comparison
* Localized Energy-Based Normalization of Medical Images: Application to Chest Radiography
* Localized Extended Kalman Filter for Scalable Real-Time Traffic State Estimation
* Localized feature selection for clustering
* Localized feature selection for Gaussian mixtures using variational learning
* Localized forgery detection in hyperspectral document images
* Localized fusion of Shape and Appearance features for 3d Human Pose Estimation
* Localized Graph-Based Feature Selection for Clustering
* Localized Hierarchical Graph Cuts
* Localized Image Blur Removal through Non-parametric Kernel Estimation
* Localized Image Matte Evaluation by Gradient Correlation
* Localized image watermarking based on feature points of scale-space representation
* Localized Interactive Instance Segmentation
* Localized Intersections Computation for Solid Modeling with Straight Homogeneous Generalized Cylinders
* Localized Iris Image Quality Using 2-D Wavelets
* Localized Latent Updates for Fine-Tuning Vision-Language Models
* Localized Learning Approach Applied to Human Activity Recognition, A
* Localized Linear Regression in Networked Data
* Localized Low-Rank Promoting for Recovery of Block-Sparse Signals With Intrablock Correlation
* Localized LRR on Grassmann Manifold: An Extrinsic View
* Localized matching using Earth Mover's Distance towards discovery of common patterns from small image samples
* Localized Measurement of Image Fractal Dimension Using Gabor Filters
* Localized Measurement of Optical Attenuation Coefficients of Atherosclerotic Plaque Constituents by Quantitative Optical Coherence Tomography
* Localized MKL Method for Brain Classification with Known Intra-class Variability, A
* Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification
* Localized Multifeature Metric Learning for Image-Set-Based Face Recognition
* Localized Multiple Kernel Learning for Realistic Human Action Recognition in Videos
* Localized multiple kernel learning using graph modularity
* Localized Multiple Kernel Regression
* Localized Nonlinear Method for the Contrast Enhancement of Images, A
* Localized Null Space representation for dynamic updating and downdating in image and video databases
* Localized principal component analysis based curve evolution: A divide and conquer approach
* Localized Radon Transform-Based Detection of Linear Features in Noisy Images
* Localized Receptive Fields May Mediate Transformation-Invariant Recognition in the Visual Cortex
* Localized region context and object feature fusion for people head detection
* Localized Scene Interpretation from 3D Models, Range, and Optical Data
* Localized Segment Based Processing for Automatic Building Extraction From Lidar Data
* Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving
* Localized Set Operations for Solid Modeling
* Localized Shortcut Removal
* Localized Simple Multiple Kernel K-means
* Localized Sparse Incomplete Multi-View Clustering
* Localized statistics for DW-MRI fiber bundle segmentation
* Localized Subsidence Zones in Gävle City Detected by Sentinel-1 PSI and Leveling Data
* Localized Supervised Metric Learning on Temporal Physiological Data
* Localized support vector machines using Parzen window for incomplete sets of categories
* Localized Triplet Loss for Fine-grained Fashion Image Retrieval
* Localized Verlet Integration Framework for Facial Models
* Localized versus Locality-Preserving Subspace Projections for Face Recognition
* Localized wavelet based computerized tomography
* Localizing 3-D Anatomical Landmarks Using Deep Convolutional Neural Networks
* Localizing a Face in an Image, Face Localization
* Localizing a mobile robot with intrinsic noise
* Localizing a polyhedral object in a robot hand by integrating visual and tactile data
* Localizing actions through sequential 2D video projections
* Localizing activity groups in videos
* Localizing and Orienting Street Views Using Overhead Imagery
* Localizing and segmenting text in images and videos
* Localizing Anomalies From Weakly-Labeled Videos
* Localizing blurry and low-resolution text in natural images
* Localizing body joints from single depth images using geodetic distances and random tree walk
* Localizing Characteristic Points on a Vertebra Contour by Using Shape Language
* Localizing Discontinuities Using Weak Continuity Constraints
* Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models
* Localizing Fake Segments in Speech
* Localizing Firearm Carriers By Identifying Human-Object Pairs
* Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios
* Localizing Human Keypoints beyond the Bounding Box
* Localizing in Unstructured Environments: Dealing with the Errors
* Localizing Moments in Long Video Via Multimodal Guidance
* Localizing Moments in Video with Natural Language
* Localizing non-overlapping surveillance cameras under the L-Infinity norm
* Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
* Localizing Objects While Learning Their Appearance
* Localizing Objects with Smart Dictionaries
* Localizing Occluders with Compositional Convolutional Networks
* Localizing Overlapping Parts by Searching the Interpretation Tree
* Localizing Parts of Faces Using a Consensus of Exemplars
* Localizing people in multi-view environment using height map reconstruction in real-time
* Localizing Periodicity in Time Series and Videos
* Localizing Region-Based Active Contours
* Localizing relevant frames in web videos using topic model and relevance filtering
* Localizing scene texts by fuzzy inference systems and low rank matrix recovery model
* Localizing SDG 11.6.2 via Earth Observation, Modelling Applications, and Harmonised City Definitions: Policy Implications on Addressing Air Pollution
* Localizing Text in Scene Images by Boundary Clustering, Stroke Segmentation, and String Fragment Classification
* Localizing the Common Action Among a Few Videos
* Localizing Unordered Panoramic Images Using the Levenshtein Distance
* Localizing Visual Sounds the Easy Way
* Localizing Visual Sounds the Hard Way
* Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing data
* Locally-Adaptive Image Contrast Enhancement without Noise and Ringing Artifacts
* Locally-Connected, Irregular Deep Neural Networks for Biomimetic Active Vision in a Simulated Human
* Locally-Constrained Region-Based Methods for DW-MRI Segmentation
* Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification
* Locally-Transferred Fisher Vectors for Texture Classification
* Locally-Weighted Elastic Comparison of Planar Shapes
* Locally Accumulated Adam For Distributed Training With Sparse Updates
* Locally adaptable mathematical morphology using distance transformations
* Locally Adapted Gain Control for Reliable Foreground Detection
* Locally Adapted Spatio-temporal Deformation Model for Dense Motion Estimation in Periodic Cardiac Image Sequences
* locally adaptive algorithm for measuring blocking artifacts in images and videos, A
* Locally adaptive block thresholding method with continuity constraint
* Locally Adaptive Channel Attention-Based Spatial-Spectral Neural Network for Image Deblurring
* Locally Adaptive Chromatic Restoration Of Digitally Acquired Paintings
* Locally Adaptive Color Correction for Underwater Image Dehazing and Matching
* Locally adaptive combining colour and depth for human body contour tracking using level set method
* Locally adaptive conductance in geometry-driven-diffusion filtering of magnetic resonance tomograms
* Locally Adaptive Data Compression Scheme, A
* Locally Adaptive Deblocking Filter for Low Bit Rate Video
* Locally Adaptive Frames in the Roto-Translation Group and Their Applications in Medical Imaging
* Locally Adaptive Intra-Subband Interpolation of Lost Low Frequency Coefficients In Wavelet Coded Images
* Locally adaptive learning for translation-variant MRF image priors
* Locally Adaptive Metric Nearest-Neighbor Classification
* Locally Adaptive Multiscale Contrast Optimization
* Locally Adaptive Non-Separable Interpolation Filter for H.264/AVC
* Locally Adaptive Passive Error Concealment for Wavelet Coded Images
* Locally Adaptive Perceptual Image Coding
* locally adaptive region growing algorithm for vascular segmentation, A
* Locally Adaptive Regularization Based on Anisotropic Diffusion for Deformable Image Registration of Sliding Organs, A
* Locally adaptive regularized super-resolution on video with arbitrary motion
* Locally Adaptive Shearlet Denoising Based on Bayesian MAP Estimate
* Locally Adaptive Speed Functions for Level Sets in Image Segmentation
* Locally adaptive subspace and similarity metric learning for visual data clustering and retrieval
* Locally Adaptive Support-Weight Approach for Visual Correspondence Search
* Locally Adaptive System for the Fusion of Objective Quality Measures, A
* Locally adaptive template sizes for matching repeat images of Earth surface mass movements
* Locally Adaptive Total Variation Regularization
* Locally Adaptive Wavelet-Based Image Denoising using the Gram-Charlier Prior Function
* Locally Adaptive Wavelet-Based Image Interpolation
* Locally adaptive wavelet domain bayesian processor for denoising medical ultrasound images using speckle modelling based on rayleigh distribution
* Locally Adaptive window for Signal Matching, A
* locally adaptive zooming algorithm for digital images, A
* Locally Adjustable Interpolation for Meshes of Arbitrary Topology
* Locally Adjusted Cubic-Spline Capping for Reconstructing Seasonal Trajectories of a Satellite-Derived Surface Parameter
* Locally Adjusted Robust Regression for Human Age Estimation
* Locally Affine Diffeomorphic Surface Registration and Its Application to Surgical Planning of Fronto-Orbital Advancement
* Locally affine patch mapping and global refinement for image super-resolution
* Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation
* Locally aggregated histogram-based descriptors
* Locally Aligned Feature Transforms across Views
* Locally Assembled Binary (LAB) feature with feature-centric cascade for fast and accurate face detection
* Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration
* Locally Competitive Algorithms for Sparse Approximation
* Locally Confined Modality Fusion Network With a Global Perspective for Multimodal Human Affective Computing
* Locally Connected Network for Monocular 3D Human Pose Estimation
* Locally Consistent ToF and Stereo Data Fusion
* Locally constrained diffusion process on locally densified distance spaces with applications to shape retrieval
* locally constrained radial basis function for registration and warping of images, A
* Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image, A
* Locally Constrained Watershed Transform, A
* Locally controllable neural style transfer on mobile devices
* Locally controlled regularized spatiotemporal anisotropic diffusion
* Locally Deformable B-Bubble Model: An Application to Growth Ring Detection on Fish Otoliths, The
* Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus Segmentation
* Locally Deformable Statistical Shape Model, A
* Locally Developable Constraint for Document Surface Reconstruction
* Locally discriminative stable model for visual tracking with clustering and principle component analysis
* Locally discriminative topic modeling
* Locally enhancing fractal descriptors by using the non-additive entropy
* Locally focused magnetic resonance imaging
* Locally Gaussian exemplar based texture synthesis
* locally global approach to stereo correspondence, A
* Locally Homogeneous Images as Minimizers of Objective Functions
* Locally Invariant Fractal Features for Statistical Texture Classification
* Locally invariant texture analysis from the topographic map
* Locally Joint Sparse Marginal Embedding for Feature Extraction
* Locally lateral manifolds of normalised Gabor features for face recognition
* Locally Linear Approximation Approach for Incomplete Data
* Locally Linear Discriminant Analysis for Multimodally Distributed Classes for Face Recognition with a Single Model Image
* Locally linear discriminant embedding: An efficient method for face recognition
* Locally Linear Embedded Sparse Coding for Spectral Reconstruction From RGB Images
* Locally linear embedding based example learning for pan-sharpening
* Locally linear embedding based texture synthesis for image prediction and error concealment
* Locally linear embedding methods for inter image coding
* Locally linear embedding with additive noise
* Locally Linear Embedding, Nonlinear Embedding
* Locally Linear Hashing for Extracting Non-linear Manifolds
* Locally Linear Image Structural Embedding for Image Structure Manifold Learning
* Locally Linear Isometric Parameterization
* Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
* Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification
* Locally linear reconstruction for instance-based learning
* Locally Linear Regression for Pose-Invariant Face Recognition
* Locally Linear Regression Model for Boundary Preserving Regularization in Stereo Matching, A
* Locally Low-Rank Regularized Video Stabilization With Motion Diversity Constraints
* Locally Monotonic Models for Image and Video Processing
* Locally Multidimensional Scaling for Nonlinear Dimensionality Reduction
* Locally nearest neighbor classifiers for pattern classification
* Locally non-rigid registration for mobile HDR photography
* Locally Normalized Filter Banks Applied to Deep Neural-Network-Based Robust Speech Recognition
* Locally Optimal Detection of Image Watermarks in the Wavelet Domain Using Bessel K Form Distribution
* Locally Optimal Radar Waveform Design for Detecting Doubly Spread Targets in Colored Noise
* Locally Optimized Product Quantization for Approximate Nearest Neighbor Search
* Locally Optimized RANSAC
* Locally optimum image watermark decoder by modeling NSCT domain difference coefficients with vector based Cauchy distribution
* Locally optimum nonlinearities for DCT watermark detection
* Locally Orderless Registration
* Locally Orderless Tracking
* Locally Oriented Optical Flow Computation
* Locally Parallel Texture Modeling
* Locally Parallel Textures Modeling with Adapted Hilbert Spaces
* Locally Planar Patch Features for Real-Time Structure from Motion
* Locally preserving projection on symmetric positive definite matrix lie group
* Locally principal component analysis based on L1-norm maximisation
* Locally Quadratic Model of the Motion Estimation Error Criterion Function and Its Application to Subpixel Interpolations, A
* Locally refinable gradient meshes supporting branching and sharp colour transitions
* Locally refinable parametric snakes
* Locally Refined Splines Representation for Geospatial Big Data
* Locally regressive G-optimal design for image retrieval
* Locally rigid globally non-rigid surface registration
* Locally Rotation, Contrast, and Scale Invariant Descriptors for Texture Analysis
* locally sensitive method for cluster analysis, A
* Locally Smooth Metric Learning with Application to Image Retrieval
* Locally Smoothed Modified Quadratic Discriminant Function
* Locally Stylized Neural Radiance Fields
* Locally Supervised Deep Hybrid Model for Scene Recognition
* Locally Switching Between Cost Functions in Iterative Non-rigid Registration
* Locally time-invariant models of human activities using trajectories on the grassmannian
* Locally Varying Distance Transform for Unsupervised Visual Anomaly Detection
* Locally warping-based image stitching by imposing line constraints
* Locally Weighted Discriminant Analysis for Hyperspectral Image Classification
* Locally Weighted Ensemble Clustering
* Locally Weighted Fixation Density-Based Metric for Assessing the Quality of Visual Saliency Predictions, A
* locally weighted, correlated subdomain adaptive network employed to facilitate transfer learning, A
* LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation
* Locate Before Answering: Answer Guided Question Localization for Video Question Answering
* Locate then Segment: A Strong Pipeline for Referring Image Segmentation
* Locate, Size, and Count: Accurately Resolving People in Dense Crowds via Detection
* LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding
* Located Hidden Random Fields: Learning Discriminative Parts for Object Detection
* Locating 3D Object Proposals: A Depth-Based Online Approach
* Locating Address Blocks and Postcodes in Mail-Piece Images
* Locating an affine/projective invariant identifier patch on an image
* Locating and Correcting Errors in Images
* Locating and Counting Heads in Crowds With a Depth Prior
* Locating and Dating Land Cover Change Events in the Renosterveld, a Critically Endangered Shrubland Ecosystem
* Locating and defining underground goaf caused by coal mining from space-borne SAR interferometry
* Locating and Extracting the Eye in Human Face Images
* Locating and Modelling a Flat Symmetric Object from a Single Perspective Image
* Locating and parsing bibliographic references in HTML medical articles
* Locating and recognizing multiple human actions by searching for maximum score subsequences
* Locating and Recognizing Road Vehicles
* Locating and Segmenting 3D Deformable Objects by Using Clusters of Contour Fragments
* Locating and Tracking Facial Speech Features
* Locating and Tracking of Human Faces with Neural Networks
* Locating Automated External Defibrillators in a Complicated Urban Environment Considering a Pedestrian-Accessible Network that Focuses on Out-of-Hospital Cardiac Arrests
* Locating binary features for keypoint recognition using noncooperative games
* Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response
* Locating Book Backs in a Bookrack Image
* Locating Boundaries of Textured Regions
* Locating characters in scene images using frequency features
* Locating Charcoal Production Sites in Sweden Using LiDAR, Hydrological Algorithms, and Deep Learning
* Locating Charts from Scanned Document Pages
* Locating Corners in Noisy Curves by Delineating Imperfect Sequences
* Locating Corresponding Regions in Urban Environments
* Locating Crop Plant Centers from UAV-Based RGB Imagery
* Locating Cultural Regions in Aerial Imagery using Geometric Cues
* Locating Deciduous Trees
* Locating Destination Address Block in Korean Mail Images
* Locating destination address block on handwritten Korean envelopes
* Locating Earth Disturbances Using the SDR Earth Imager
* Locating Edges and Removing Ringing Artifacts in JPEG Images by Frequency-Domain Analysis
* Locating faces using statistical feature detectors
* Locating Facial Features and Pose Estimation Using a 3D Shape Model
* Locating facial features in image sequences using neural networks
* Locating Facial Features Using an Anthropometric Face Model for Determining the Gaze of Faces in Image Sequences
* Locating Facial Features Using SOFM
* Locating Facial Features with an Extended Active Shape Model
* Locating Facial Landmarks Using Probabilistic Random Forest
* Locating facial landmarks with binary map cross-correlations
* Locating Facial Region of a Head-and-Shoulders Color Image
* Locating fast-moving objects in TV-images in the presence of motion blur
* Locating geometric primitives by pruning the parameter space
* Locating head and face boundaries for head-shoulder images
* Locating high-density clusters with noisy queries
* Locating Human Faces in a Cluttered Scene
* Locating Human Faces in Newspaper Photographs
* Locating Human Faces in Photographs
* Locating human faces within images
* Locating human interactions with discriminatively trained deformable pose+motion parts
* Locating Indexing Structures in Engineering Drawing Databases Using Location Hashing
* Locating Large-Scale Craniofacial Feature Points on X-ray Images for Automated Cephalometric Analysis
* Locating moving objects in car-driving sequences
* Locating multiple license plates using scale, rotation, and colour-independent clustering and filtering techniques
* Locating Multiple Multiscale Electromagnetic Scatterers by a Single Far-Field Measurement
* Locating Neuron Boundaries in Electron Micrograph Images Using Primal Sketch Primitives
* Locating Noise is Halfway Denoising for Semi-Supervised Segmentation
* Locating Nose-Tips and Estimating Head Poses in Images by Tensorposes
* Locating Nosetips and Estimating Head Pose in Images by Tensorposes
* Locating Object Boundaries in Textured Environments
* Locating object contours in complex background using improved snakes
* Locating Objects from Their Point Features Using an Optimized Hough-Like Accumulation Technique
* Locating Objects of Varying Shape Using Statistical Feature Detectors
* Locating Objects under Different Conditions: An Example in Aerial Image Understanding
* Locating Objects Using the Hausdorff Distance
* Locating Objects Without Bounding Boxes
* Locating Overlapping Flexible Shapes Using Geometrical Constraints
* Locating Parking Hubs in Free-Floating Ride Share Systems via Data-Driven Optimization
* Locating People in Images by Optimal Cue Integration
* Locating People in Indoor Scenes for Real Applications
* Locating People in Video from Semantic Descriptions: A New Database and Approach
* Locating Perceptually Salient Points on Planar Curves
* Locating Polyhedral Objects From Edge Point Data
* Locating regions-of-interest for the Mars Rover expedition
* Locating regions in a target image using color matching, luminance pattern matching and hue plane pattern matching
* Locating robust patterns based on invariant of LTP-based features
* Locating Salient Facial Features Using Image Invariants
* Locating Salient Object Features
* Locating Seismo-Conductivity Anomaly before the 2017 MW 6.5 Jiuzhaigou Earthquake in China Using Far Magnetic Stations
* Locating Senior-Friendly Restaurants in a Community: A Bi-Objective Optimization Approach for Enhanced Equality and Convenience
* Locating Smartphone Indoors by Using Tightly Coupling Bluetooth Ranging and Accelerometer Measurements
* Locating splicing forgery by fully convolutional networks and conditional random field
* Locating Straight Line Edge Segments in Outdoor Scenes
* Locating Structures in Aerial Images
* Locating target at high speed using image decimation decomposition processing
* Locating Text in Color Documents
* Locating Text in Complex Color Images
* Locating Text in Images Based on the Smooth Gray-Level Detection
* Locating text in images using matched wavelets
* Locating the eye in human face images using fractal dimensions
* Locating the Human Eye Using Fractal Dimensions
* Locating the optic disk in retinal images via plausible detection and constraint satisfaction
* Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels
* Locating the Ultrasonic Echo Head Wave of Bottom Sediment in Drilling Hole Based on Local SNR
* Locating Thin Lines and Roof Edges by Custom-Built Moments
* Locating Uniform-colored Text in Video Frames
* Locating Urban Trees near Electric Wires using Google Street View Photos: A New Dataset and A Semi-Supervised Learning Approach in the Wild
* Locating Visual Explanations for Video Question Answering
* Locating X-Ray Coronary Angiogram Keyframes via Long Short-Term Spatiotemporal Attention With Image-to-Patch Contrastive Learning
* Locating, Replacing, and Deleting Patterns in Graphics Editing of Line Drawings
* Location- and Time-Specific Hydrological Simulations with Multi-Resolution Remote Sensing Data in Urban Areas
* Location-Allocation Model for the Design of Guidance Signage Systems for Pedestrian Wayfinding in Public Spaces
* Location-associated indoor behavior analysis of multiple persons
* Location-Aware and Healing Attestation Scheme for Air-Supported Internet of Vehicles, A
* Location-Aware Image Classification
* Location-Aware Music Artist Recommendation
* Location-aware music recommendation
* Location-aware query reformulation for search engines
* location-aware scale-space method for salient object detection, A
* Location-aware Single Image Reflection Removal
* Location-Based Analyses for Electronic Monitoring of Parolees
* Location-based augmented reality on mobile phones
* Location-Based Crowdsourcing for Vehicular Communication in Hybrid Networks
* Location-based data delivery between vehicles and infrastructure
* Location-based image retrieval for urban environments
* Location-Based Information Support System Using Multiple Cameras and LED Light Sources with the Compact Battery-Less Information Terminal (CoBIT)
* Location-Based Infrastructure Inspection for Sabo Facilities
* Location-Based Schemes for Mitigating Cyber Threats on Connected and Automated Vehicles: A Survey and Design Framework
* Location-based Services using Image Search
* Location-Based Social Network's Data Analysis and Spatio-Temporal Modeling for the Mega City of Shanghai, China
* Location-Centric Social Media Analytics: Challenges and Opportunities for Smart Cities
* Location-Dependent Spatiotemporal Antialiasing in Photoacoustic Computed Tomography
* Location-Directed Image Modeling and its Application to Image Interpolation
* Location-Free Human Pose Estimation
* Location-Free Object Tracking on Graph Structures
* Location-Map Free Reversible Data Hiding Method using Block-Based Single Parameter, A
* Location-Specific Coverage in Heterogeneous Networks
* Location-specific Transition Distributions for Tracking
* Location-specific vs Location-Agnostic Machine Learning Metamodels for Predicting Pasture Nitrogen Response Rate
* Location-tracking Testbed Using Vision-assisted Scheme For Wireless Sensor Networks, A
* Location-Velocity Attention for Pedestrian Trajectory Prediction
* Location-Wise Predetermined Deployment for Optimizing Lifetime in Visual Sensor Networks, A
* Location Accuracy Improvement of Long-range Lightning Detection Network In China by Compensating Ground Wave Propagation Delay
* Location Analysis Based Waiting Time Optimisation
* Location and Action-Based Model for Route Descriptions, A
* Location and Activity Changes of Slow-Moving Landslides Due to an Earthquake: Perspective from InSAR Observations
* Location and Extraction of Telegraph Poles from Image Matching-Based Point Clouds
* Location and geometric description of carpal bones in CT images
* Location and interpretation of destination addresses on handwritten Chinese envelopes
* Location and recognition of flashlight projections for visual interfaces
* Location and Recognition of Legal Amounts on Chinese Bank Cheques
* Location bagging-based undersampling for imbalanced classification problems
* Location based abstraction of user generated mobile videos
* Location Based and Density Based Hierarchical Clustering Using Similarity Analysis
* Location by involution
* Location Constrained Pixel Classifiers for Image Parsing with Regular Spatial Layout
* Location Determination In Urban Environment from Image Sequences
* Location Discriminative Vocabulary Coding for Mobile Landmark Search
* Location emotion recognition for travel recommendation based on social network
* Location error resilient geographical routing for vehicular ad-hoc networks
* Location Estimation of Cylinders from a 2-D Image
* Location Estimation of Predominant Sound Source with Embedded Source Separation in Amplitude-Panned Stereo Signal
* Location Extraction and Prediction Method Based on Floating Car Spatial-Temporal Trajectory
* Location Field Descriptors: Single Image 3D Model Retrieval in the Wild
* Location information verification using transferable belief model for geographic routing in vehicular ad hoc networks
* Location K-anonymity in indoor spaces
* Location Normalization of HMM-Based Lip Reading: Experiments for the M2VTS Database
* Location of iris based on circular and linear filters
* location of mobile logistics is arranged by the method of RFID tag separation, The
* Location of Objects in a Cluttered Scene Using Probabilistic Relaxation
* Location of Radio-Frequency Interference Sources Using the SMAP L-Band Radiometer
* Location of structural sections from within a highly distorted complex line drawing
* Location of Target with Random Gray Levels in Correlated Background with Optimal Processors and Preprocessings
* Location of the pupil-iris border in slit-lamp images of the cornea
* Location of title and author regions in document images based on the Delaunay triangulation
* Location Optimization of VTS Radar Stations Considering Environmental Occlusion and Radar Attenuation
* Location Planning of Emergency Medical Facilities Using the p-Dispersed-Median Modeling Approach
* Location Planning of PEV Fast Charging Station: An Integrated Approach Under Traffic and Power Grid Requirements
* Location Prediction in Real Homes of Older Adults based on K-Means in Low-Resolution Depth Videos
* Location Privacy-Preserving Mechanisms in Location-Based Services: A Comprehensive Survey
* Location Privacy in the Wake of the GDPR
* Location privacy models in mobile applications: Conceptual view and research directions
* Location recognition on lifelog images via a discriminative combination of generative models
* Location recognition over large time lags
* Location Recognition Using Prioritized Feature Matching
* Location Recommendation Based on Mobility Graph With Individual and Group Influences
* Location Scheme of Routine Nucleic Acid Testing Sites Based on Location-Allocation Models: A Case Study of Shenzhen City
* Location Sensitive Image Retrieval and Tagging
* Location Sensitive Network for Human Instance Segmentation
* Location similarity of regions
* Location Systems for Ubiquitous Computing
* Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators
* Location2Vec: A Situation-Aware Representation for Visual Exploration of Urban Locations
* Locational Awareness on the Internet
* Locator-Checker-Scaler Object Tracking Using Spatially Ordered and Weighted Patch Descriptor
* LocJury: An IBN-Based Location Privacy Preserving Scheme for IoCV
* Locked to Stimulation: Significance Level of the Phase-Locking Factor
* Lockheed Martin Report: Progress in Image Invariants Research--1995
* Locking Depth of the Cholame Section of the San Andreas Fault from ERS2-Envisat InSAR, The
* Locking onto 3D-structure by a combined vergence- and fusion system
* Locking Status and Earthquake Potential Hazard along the Middle-South Xianshuihe Fault
* LocNet: Improving Localization Accuracy for Object Detection
* LOCO-I Lossless Image Compression Algorithm: Principles and Standardization into JPEG-LS, The
* LOCO: Local Context Based Faster R-CNN for Small Traffic Sign Detection
* LocoGAN: Locally convolutional GAN
* Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments
* Locop: Local Collaborative Object Presence for Semantic Labeling Via Score Map Re-Inference
* LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
* Locus Model of Search and its Use in Image Interpretation, The
* LoCUS: Learning Multiscale 3D-consistent Features from Posed Images
* LOCUS: Learning Object Classes with Unsupervised Segmentation
* Locust Mayfly Optimization-Tuned Neural Network for AI-Based Pruning in Chess Game
* LocVTP: Video-Text Pre-training for Temporal Localization
* LOD Canny Edge Based Boundary Edge Selection for Human Body Tracking
* LOD Generation for 3D Polyhedral Building Model
* LOD3 Building Reconstruction From Multi-source Images
* LODE: A distance-based classifier built on ensembles of positive and negative observations
* LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition
* Loess Landslide Detection Using Object Detection Algorithms in Northwest China
* Loess Landslide Inventory Map Based on GF-1 Satellite Imagery
* LOFAR Telescope: System Architecture and Signal Processing, The
* LoFGAN: Fusing Local Representations for Few-shot Image Generation
* LOFReg: An outlier-based regulariser for deep metric learning
* LoFTR: Detector-Free Local Feature Matching with Transformers
* Log-Domain Diffeomorphic Registration of Diffusion Tensor Images
* Log-encoding estimation for color stabilization of cinematic footage
* Log-Euclidean bag of words for human action recognition
* Log-Euclidean Kernels for Sparse Representation and Dictionary Learning
* Log-Euclidean Metrics for Contrast Preserving Decolorization
* Log-Euclidean Polyaffine Framework for Locally Rigid or Affine Registration, A
* Log-Gabor Feature-Based Quality Assessment Model for Screen Content Images, A
* Log-Gabor Filters for Image-Based Vehicle Verification
* Log-Gabor Transforms and Score Fusion to Overcome Variations in Appearance for Face Recognition
* Log-Gabor Weber Descriptor for Face Recognition
* Log-likelihood Regularized KL Divergence for Video Prediction With a 3D Convolutional Variational Recurrent Network, A
* Log-linear Mixtures for Object Class Recognition
* Log-Linear Weight Optimization Using Discriminative Ridge Regression Method in Statistical Machine Translation
* log-normal distribution of the size of objects in daily meal images and its application to the efficient reduction of object proposals, The
* Log-Opponent Chromaticity Coding of Colour Space
* Log-Polar Based Scheme for Revealing Duplicated Regions in Digital Images
* Log-polar height maps for multiple range image registration
* Log-Polar Mapping Applied To Pattern Representation And Recognition
* Log-polar mapping template design: From task-level requirements to geometry parameters
* Log-Polar Stereo for Anthropomorphic Robots
* Log-Polar transform in 3D environment
* Log-polar wavelet energy signatures for rotation and scale invariant texture classification
* Log-Tracker: An Attribute-Based Approach to Tracking Human Body Motion
* LoG Characteristic Scale: A Consistent Measurement of Lung Nodule Size in CT Imaging, The
* log square average case algorithm to make insertions in fast similarity search, A
* Log Transform Based Optimal Image Enhancement Using Firefly Algorithm for Autonomous Mini Unmanned Aerial Vehicle: An Application of Aerial Photography
* Log4Care: Unified Event Logging Service for Personalized Care
* LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval
* Logarithm bispectrum-based approach to radar range profile for automatic target recognition
* Logarithm Gradient Histogram: A general illumination invariant descriptor for face recognition
* Logarithmic Image Prior for Blind Deconvolution, A
* Logarithmic Image Processing Model: Connections with Human Brightness Perception and Contrast Estimators, The
* Logarithmic Model-Based Dynamic Range Enhancement of Hip X-Ray Images
* Logarithmic Moments for Mixture of Symmetric Alpha Stable Modelling
* Logarithmic multiresolution analysis
* Logarithmic Norm Regularized Low-Rank Factorization for Matrix and Tensor Completion
* Logarithmic Opinion Pool Based STAPLE Algorithm for the Fusion of Segmentations With Associated Reliability Weights, A
* Logarithmic Quantization Index Modulation for Perceptually Better Data Hiding, A
* Logarithmic reweighting nonnegative least mean square algorithm
* Logarithmic Schatten-p Norm Minimization for Tensorial Multi-View Subspace Clustering
* Logarithmic Spiral Grid and Gaze Control for the Development of Strategies of Visual Segmentation on a Document
* Logarithmic Spiral Grids for Image Processing and Display
* Logarithmic Spread-Transform Dither Modulation watermarking Based on Perceptual Model
* Logarithmic Tapering Graph Pyramid
* Logarithmic total variation regularization for cross-validation in photon-limited imaging
* Logarithmic uncertainty principle for quaternion linear canonical transform
* Logarithmic X-Ray Imaging Model for Baggage Inspection: Simulation and Object Detection, A
* Logarithmical hopping encoding: A low computational complexity algorithm for image compression
* Logarithmically Improved Property Regression for Crowd Counting
* LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information, The
* Logboats: A Global Symbolic Content for New Reflections on the Protection of World Heritage in the Future with the Help of Cutting Edge Technology
* LogCut: Efficient Graph Cut Optimization for Markov Random Fields
* LogDet Divergence-Based Metric Learning With Triplet Constraints and Its Applications
* LoggerMan, a Comprehensive Logging and Visualization Tool to Capture Computer Usage
* Logging Pattern Detection by Multispectral Remote Sensing Imagery in North Subtropical Plantation Forests
* Logging Trail Segmentation via a Novel U-Net Convolutional Neural Network and High-Density Laser Scanning Data
* Logic-Based Traffic Flow Control for Ramp Metering and Variable Speed Limits: Part 1: Controller
* Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
* Logic-oriented fuzzy clustering
* Logic as Energy: A SAT-Based Approach
* Logic filters for resolution conversion of digital images
* logic framework for active contours on multi-channel images, A
* Logic Gate Implementation for Gray-Scale Morphology
* logic of constraint satisfaction, The
* Logic of Depiction, The
* Logical Approach to Real Options Identification With Application to UAV Systems, A
* Logical Approach to Representing and Reasoning about Space, A
* logical combinatorial approach to pattern recognition, an overview through selected works, The
* Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning
* Logical consistency verification of state sensing in safety-critical decision: A case study of train routing selection
* Logical DP Matching for Detecting Similar Subsequence
* Logical Entity Recognition in Multi-Style Document Page Images
* Logical Foundations and Fast Implementation of Probabilistic Tractography
* Logical Framework for Depiction and Image Interpretation, A
* Logical Heuristic Algorithm in Extracting 2D Structure Thinned Binary Image into Freeman Chain Code (FCC)
* Logical Implications for Visual Question Answering Consistency
* Logical labeling of Arabic newspapers using artificial neural nets
* Logical Labeling of Document Images Using Layout Graph Matching with Adaptive Learning
* Logical labeling using Bayesian networks
* Logical Models of Images and Recognition Operators for Image Understanding Environment
* logical neural network that adapts to changes in the pattern environment, A
* Logical Pattern Recognition Program, A
* Logical Representation of a Conceptual Model for Spatial Data Warehouses
* Logical Representation of Bincode and its Applications in Manipulating Binary Images, The
* Logical structure analysis by typographic characteristics extraction
* Logical Structure Analysis for Form Images with Arbitrary Layout by Belief Propagation
* Logical structure analysis of book document images using contents information
* Logical Structure Analysis of Document Images Based on Emergent Computation
* Logical Structure Recognition of Scientific Bibliographic References
* Logical Templates for Feature Extraction in Fingerprint Images
* Logical/Linear Operators for Image Curves
* Logically Efficient Spatial-Resolution Conversion Using Paired Increasing Operators
* LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules
* LogicSeg: Parsing Visual Semantics with Neural Logic Learning and Reasoning
* LoGID: An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs
* LOGISMOS-B: Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces for the Brain
* LOGISMOS: Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces: Cartilage Segmentation in the Knee Joint
* Logistic Boosting Regression for Label Distribution Learning
* Logistic Component Analysis for Fast Distance Metric Learning
* Logistic dynamic texture model for human activity and gait recognition
* Logistic label propagation
* Logistic Random Field: A convenient graphical model for learning parameters for MRF-based labeling, The
* Logistic Regression Approach to Field Estimation Using Binary Measurements, A
* Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection
* Logistic Regression of Generic Codebooks for Semantic Image Retrieval
* Logistic Regression of Point Matches for Accurate Transformation Estimation
* Logistic regression projection-based feature representation for visual domain adaptation
* Logistic regression using covariates obtained by product-unit neural network models
* Logistical Planning for Electric Vehicles Under Time-Dependent Stochastic Traffic
* Logistics in the Sky: A Two-Phase Optimization Approach for the Drone Package Pickup and Delivery System
* Logit-RankBoost with pruning for face recognition
* Logitboost Extension for Early Classification of Sequences
* Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment
* Loglets: Generalized Quadrature and Phase for Local Spatio-Temporal Structure Estimation
* Lognometer: A New Normalized and Computerized Device for Assessing the Neurodevelopment of Fine Motor Control in Children, The
* Lognormal Random Field Models and Their Applications to Radar Image Synthesis
* Logo and Trademark Retrieval in General Image Databases Using Color Edge Gradient Co-occurrence Histograms
* Logo and word matching using a general approach to signal registration
* Logo Detection Based on Fcm Clustering Algorithm and Texture Features
* Logo Detection in Document Images Based on Boundary Extension of Feature Rectangles
* Logo Detection Using Painting Based Representation and Probability Features
* Logo Extraction Using Combined Discrete Wavelet Transform and Dynamic Stochastic Resonance
* Logo Extraction Using Dynamic Stochastic Resonance
* Logo insertion on an HDTV encoder
* Logo insertion transcoding for H.264/AVC compressed video
* Logo localization and recognition in natural images using homographic class graphs
* Logo Matching for Document Image Retrieval
* Logo recognition in video stills by string matching
* Logo Recognition Using CNN Features
* Logo Recognition via Improved Topological Constraint
* Logo Retrieval Using Logo Proposals and Adaptive Weighted Pooling
* Logo Spotting by a Bag-of-words Approach for Document Categorization
* Logo spotting for document categorization
* Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks
* LOGO: A Long-Form Video Dataset for Group Action Quality Assessment
* LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion
* LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models
* Logos Technologies
* Logotype Detection Concept in Video Stream Based on Features Extraction and Features Clustering from Contours and Colors
* Logotype Detection in Compressed Images Using Alignment Signatures
* Logotype detection to support semantic-based video annotation
* LOH and Behold: Web-Scale Visual Search, Recommendation and Clustering Using Locally Optimized Hashing
* LOHO: Latent Optimization of Hairstyles via Orthogonalization
* Loitering Behaviour Detection of Boats at Sea
* LOKI: Long Term and Key Intentions for Trajectory Prediction
* LoL-V2T: Large-Scale Esports Video Description Dataset
* LOL: Learning To Optimize Loss Switching Under Label Noise
* Lola: Object Manipulation in an Unstructured Environment
* Lola: Probabilistic Navigation for Topological Maps
* LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion Inference
* LOLNeRF: Learn from One Look
* LOMo: Latent Ordinal Model for Facial Analysis in Videos
* Lonely but attractive: Sparse color salient points for object retrieval and categorization
* Long- and Short-Term Preference Modeling Based on Multi-Level Attention for Next POI Recommendation
* Long-Bone Fracture Detection in Digital X-ray Images Based on Concavity Index
* Long-correlation image models for textures with circular and elliptical correlation structures
* Long-CPI Multichannel SAR-Based Ground Moving Target Indication
* Long-Distance 3D Reconstructions Using Photogrammetry with Curiosity's ChemCam Remote Micro-Imager in Gale Crater (Mars)
* Long-Distance Geomagnetic Navigation: Imitations of Animal Migration Based on a New Assumption
* Long-Distance Multi-Vehicle Detection at Night Based on Gm-APD Lidar
* Long-Form Video Question Answering via Dynamic Hierarchical Reinforced Networks
* Long-Frame-Shift Neural Speech Phase Prediction With Spectral Continuity Enhancement and Interpolation Error Compensation
* Long-Periodic Analysis of Boresight Misalignment of Ziyuan3-01 Three-Line Camera
* Long-Range 3D Reconstruction Based on Flexible Configuration Stereo Vision Using Multiple Aerial Robots
* Long-range Attention Network for Multi-View Stereo
* Long-Range Automatic Detection, Acoustic Signature Characterization and Bearing-Time Estimation of Multiple Ships with Coherent Hydrophone Array
* Long-Range Binocular Vision Target Geolocation Using Handheld Electronic Devices in Outdoor Environment
* Long-Range Comprehensive Modeling for Fine-Grained Visual Classification
* Long-Range Feature Dependencies Capturing for Low-Resolution Image Classification
* Long-Range Grouping Transformer for Multi-View 3D Reconstruction
* Long-range high-performance time-of-flight-based 3D imaging sensors
* Long-Range Inhibition in Reaction-Diffusion Algorithms Designed for Edge Detection and Stereo Disparity Detection
* Long-Range Lightning Interferometry Using Coherency
* Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution
* Long-Range Multi-Object Tracking at Traffic Intersections on Low-Power Devices
* Long-range Multimodal Pretraining for Movie Understanding
* Long-Range Perception System for Road Boundaries and Objects Detection in Trains
* Long-Range Prediction for Real-Time MPEG Video Traffic: An H_infty Filter Approach
* Long-Range Recognition
* Long-Range Road Geometry Estimation Using Moving Vehicles and Roadside Observations
* Long-Range Saliency of Edge- and Corner-Based Salient Points, The
* Long-Range Spatio-Temporal Modeling of Video with Application to Fire Detection
* Long-Range Spatiotemporal Motion Understanding Using Spatiotemporal Flow Curves
* Long-range trajectories from global and local motion representations
* Long-Range WindScanner System
* Long-Short-Term Features for Dynamic Scene Classification
* Long-Short Graph Memory Network for Skeleton-Based Action Recognition
* Long-Short Range Adaptive Transformer With Dynamic Sampling for 3D Object Detection
* Long-short Skip Connections In Deep Neural Networks for DSM Refinement
* Long-Short Story of Movie Description, The
* Long-Short Temporal-Spatial Clues Excited Network for Robust Person Re-identification
* Long-Short Temporal Contrastive Learning of Video Transformers
* Long-short term memory neural networks language modeling for handwriting recognition
* Long-Short Term Spatio-Temporal Aggregation for Trajectory Prediction
* Long-tail Detection with Effective Class-Margins
* Long-tail Recognition via Compositional Knowledge Transfer
* Long-Tailed Class Incremental Learning
* Long-Tailed Federated Learning Via Aggregated Meta Mapping
* Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network
* Long-Tailed Instance Segmentation Using Gumbel Optimized Loss
* Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-balanced Samplings
* Long-Tailed Object Detection for Multimodal Remote Sensing Images
* Long-Tailed Recognition of SAR Aerial View Objects by Cascading and Paralleling Experts
* Long-Tailed Recognition Using Class-Balanced Experts
* Long-Tailed Recognition via Weight Balancing
* Long-Tailed Traffic Sign Detection Using Attentive Fusion and Hierarchical Group Softmax
* Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment
* Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation
* Long-Term (1986-2015) Crop Water Use Characterization over the Upper Rio Grande Basin of United States and Mexico Using Landsat-Based Evapotranspiration
* Long-Term 3D Localization and Pose from Semantic Labellings
* Long-Term Action Dependence-Based Hierarchical Deep Association for Multi-Athlete Tracking in Sports Videos
* Long-term Action Forecasting Using Multi-headed Attention-based Variational Recurrent Neural Networks
* Long-Term Activity Forecasting Using First-Person Vision
* Long-term adaptive tracking via complementary trackers
* Long-Term Analysis of Sea Ice Drift in the Western Ross Sea, Antarctica, at High and Low Spatial Resolution
* Long-Term and Bimonthly Estimation of Lake Water Extent Using Google Earth Engine and Landsat Data
* Long-Term and Decadal Sea-Level Trends of the Baltic Sea Using Along-Track Satellite Altimetry
* Long-Term and High-Resolution Global Time Series of Brightness Temperature from Copula-Based Fusion of SMAP Enhanced and SMOS Data
* Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data
* Long-Term Anticipation of Activities with Cycle Consistency
* Long-Term Arctic Snow/Ice Interface Temperature from Special Sensor for Microwave Imager Measurements
* Long-Term Automated Monitoring of Nearshore Wave Height From Digital Video
* Long-term background memory based on Gaussian mixture model
* Long-Term Background Reconstruction with Camera in Motion
* Long-Term Background Redundancy Reduction for Earth Observatory Video Coding
* Long-Term Baseflow Responses to Projected Climate Change in the Weihe River Basin, Loess Plateau, China
* Long-Term Change of the Secchi Disk Depth in Lake Maninjau, Indonesia Shown by Landsat TM and ETM+ Data
* Long-Term Changes and Factors That Influence Changes in Thermal Discharge from Nuclear Power Plants in Daya Bay, China
* Long-Term Changes in Colored Dissolved Organic Matter from Satellite Observations in the Bohai Sea and North Yellow Sea
* Long-Term Changes in the Land-Ocean Ecological Environment in Small Island Countries in the South Pacific: A Fiji Vision
* Long-Term Changes in the Unique and Largest Seagrass Meadows in the Bohai Sea (China) Using Satellite (1974-2019) and Sonar Data: Implication for Conservation and Restoration
* Long-Term Changes in Water Body Area Dynamic and Driving Factors in the Middle-Lower Yangtze Plain Based on Multi-Source Remote Sensing Data
* Long-Term Changes in Water Clarity in Lake Liangzi Determined by Remote Sensing
* Long-Term Changes of Open-Surface Water Bodies in the Yangtze River Basin Based on the Google Earth Engine Cloud Platform
* Long-Term Changes of the Wildland-Urban Interface in the Polish Carpathians
* Long-term Cloth-changing Person Re-identification
* Long-Term Cloud Albedo Data Record Since 1980 from UV Satellite Sensors, A
* Long-Term Consecutive DInSAR for Volume Change Estimation of Land Deformation
* Long-term correlation tracking using multi-layer hybrid features in sparse and dense environments
* Long-term correlation tracking via spatial-temporal context
* Long-term correlation tracking
* Long-Term Deflection Monitoring for Bridges Using X and C-Band Time-Series SAR Interferometry
* Long-Term Detection and Tracking
* Long-Term Detection of Suspended Particulate Matter Concentration and Water Colour in Gravel and Sand Pit Lakes through Landsat and Sentinel-2 Imagery, The
* Long-Term Discharge Estimation for the Lower Mississippi River Using Satellite Altimetry and Remote Sensing Images
* Long-Term Distribution Patterns of Chlorophyll-a Concentration in China's Largest Freshwater Lake: MERIS Full-Resolution Observations with a Practical Approach
* Long-Term Dynamic Monitoring and Driving Force Analysis of Eco-Environmental Quality in China
* Long-Term Dynamic of Poyang Lake Surface Water: A Mapping Work Based on the Google Earth Engine Cloud Platform
* Long-Term Dynamics of Atmospheric Sulfur Dioxide in Urban and Rural Regions of China: Urbanization and Policy Impacts
* Long-Term Dynamics of Different Surface Water Body Types and Their Possible Driving Factors in China
* Long-Term Effects of Secondary Sensing, The
* Long-Term Face Image Analysis Based on Canonical Correlation Analysis on Physical and Psychological Evaluation of Face
* Long-Term Feature Banks for Detailed Video Understanding
* Long-Term Fine-Resolution Record of AVHRR Surface Temperatures for the Laurentian Great Lakes, A
* Long-term global motion estimation and its application for sprite coding, content description, and segmentation
* Long-Term Grass Biomass Estimation of Pastures from Satellite Data
* Long-Term Ground-Based Measurements of Aerosol Optical Depth over Kuwait City
* Long-Term Gully Erosion and Its Response to Human Intervention in the Tableland Region of the Chinese Loess Plateau
* Long-term Head Pose Forecasting Conditioned on the Gaze-guiding Prior
* Long-Term High-Resolution Sediment and Sea Surface Temperature Spatial Patterns in Arctic Nearshore Waters Retrieved Using 30-Year Landsat Archive Imagery
* Long-Term Hindcasts of Wheat Yield in Fields Using Remotely Sensed Phenology, Climate Data and Machine Learning
* Long-Term Historical Aerosol Optical Depth Data Record (1982-2011) Over China From AVHRR, A
* Long-term Human Motion Prediction with Scene Context
* Long-Term Ice Conditions in Yingkou, a Coastal Region Northeast of the Bohai Sea, between 1951/1952 and 2017/2018: Modeling and Observations
* Long-Term Impacts of COVID-19 Lockdown on the NO2 Concentrations and Urban Thermal Environment: Evidence from the Five Largest Urban Agglomerations in China
* Long-Term Impacts of Selective Logging on Amazon Forest Dynamics from Multi-Temporal Airborne LiDAR
* Long-Term Incremental Web-Supervised Learning of Visual Concepts via Random Savannas
* Long-Term Investigation of Aerosols in the Urmia Lake Region in the Middle East by Ground-Based and Satellite Data in 2000-2021
* Long-Term Lake Area Change and Its Relationship with Climate in the Endorheic Basins of the Tibetan Plateau
* Long-Term Land Cover Dynamics (1986-2016) of Northeast China Derived from a Multi-Temporal Landsat Archive
* Long-Term Land Subsidence Monitoring of Beijing (China) Using the Small Baseline Subset (SBAS) Technique
* Long-Term Land Use/Land Cover Change Assessment of the Kilombero Catchment in Tanzania Using Random Forest Classification and Robust Change Vector Analysis
* Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning
* Long-Term Learning in Content-Based Image Retrieval
* Long-Term Loss of Coral Reef in the Gulf of Aqaba Estimated from Historical Aerial Images
* Long-Term Map Maintenance Pipeline for Autonomous Vehicles
* Long-Term Mapping of a Greenhouse in a Typical Protected Agricultural Region Using Landsat Imagery and the Google Earth Engine
* Long-Term Measurements of the Atmospheric Boundary Layer Height in Central Amazonia Using Remote Sensing Instruments
* Long-term Memory Motion-compensated Prediction for Robust Video Transmission
* Long-Term Memory Motion-Compensated Prediction
* Long-Term Memory Prediction Using Affine Motion Compensation
* Long-Term Monitoring and Correction of FY-2 Infrared Channel Calibration Using AIRS and IASI
* Long-Term Monitoring of Cork and Holm Oak Stands Productivity in Portugal with Landsat Imagery
* Long-Term Monitoring of Cropland Change near Dongting Lake, China, Using the LandTrendr Algorithm with Landsat Imagery
* Long-term Monitoring of Environmental Changes Along China-Europe Railway Express (CER Express) Using Multi-source Remotely Sensed Data
* Long-term monitoring of evapotranspiration using the SEBAL algorithm and Google Earth Engine cloud computing
* Long-term Monitoring Of Glacier Change At GÖssnitzkees (Austria) Using Terrestrial Photogrammetry
* Long-Term Monitoring of Inland Water Quality Parameters Using Landsat Time-Series and Back-Propagated ANN: Assessment and Usability in a Real-Case Scenario
* Long-Term Monitoring of the Flooding Regime and Hydroperiod of Dońana Marshes with Landsat Time Series (1974-2014)
* Long-Term Monitoring of the Impacts of Disaster on Human Activity Using DMSP/OLS Nighttime Light Data: A Case Study of the 2008 Wenchuan, China Earthquake
* Long-term Monitoring Of Water Dynamics in the Sahel Region Using The Multi-SAR-system
* Long-term Moving Object Segmentation and Tracking Using Spatio-temporal Consistency
* Long-Term Multi-Cue Tracking of Hands in Vehicles
* Long-term object tracking based on siamese network
* Long-term object tracking for parked vehicle detection
* Long-term Object Tracking with Instance Specific Proposals
* Long-Term Observations of Microwave Brightness Temperatures over a Metropolitan Area: Comparison of Radiometric Data and Spectra Simulated with the Use of Radiosonde Measurements
* Long-Term Observations of the Thermospheric 6 h Oscillation Revealed by an Incoherent Scatter Radar over Arecibo
* Long-Term Occupancy Analysis Using Graph-Based Optimisation in Thermal Imagery
* Long-Term On-board Prediction of People in Traffic Scenes Under Uncertainty
* Long-Term Passive Microwave Snowoff Record for the Alaska Region 1988-2016, A
* Long-term path prediction in urban scenarios using circular distributions
* Long-Term Pattern of Primary Productivity in the East/Japan Sea Based on Ocean Color Data Derived from MODIS-Aqua
* Long-Term Peatland Condition Assessment via Surface Motion Monitoring Using the ISBAS DInSAR Technique over the Flow Country, Scotland
* Long-Term Performance Evaluation of the Latest Multi-Source Weighted-Ensemble Precipitation (MSWEP) over the Highlands of Indo-Pak (1981-2009)
* Long-Term Person Re-identification Using True Motion from Videos
* Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models
* Long-Term Post-Disturbance Forest Recovery in the Greater Yellowstone Ecosystem Analyzed Using Landsat Time Series Stack
* Long-Term Projection of Water Cycle Changes over China Using RegCM
* Long-term rate control for concurrent multipath real-time video transmission in heterogeneous wireless networks
* Long-Term Record of Sampled Disturbances in Northern Eurasian Boreal Forest from Pre-2000 Landsat Data
* Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
* Long-Term Reference Frame for Hierarchical B-Picture-Based Video Coding, A
* Long-Term Relative Radiometric Calibration and Antenna Pointing Estimation by Natural Targets
* Long-term relevance feedback and feature selection for adaptive content based image suggestion
* Long-Term SAR Data Analysis for Subsidence Monitoring and Correlation Study at Beijing Capital Airport
* Long-Term Satellite Detection of Post-Fire Vegetation Trends in Boreal Forests of China
* Long-Term Satellite Image Time-Series for Land Use/Land Cover Change Detection Using Refined Open Source Data in a Rural Region
* Long-Term Satellite Monitoring of the Slumgullion Landslide Using Space-Borne Synthetic Aperture Radar Sub-Pixel Offset Tracking
* Long-Term Ship Speed Prediction for Intelligent Traffic Signaling
* Long-Term Similarity Learning in Content-Based Image Retrieval
* Long-Term Snow Height Variations in Antarctica from GNSS Interferometric Reflectometry
* Long-Term Spatial and Temporal Monitoring of Cyanobacteria Blooms Using MODIS on Google Earth Engine: A Case Study in Taihu Lake
* Long-Term Spatiotemporal Characteristics and Impact Factors of Land Surface Temperature of Inhabited Islands with Different Urbanization Levels
* Long-Term Spatiotemporal Characteristics and Influencing Factors of Dust Aerosols in East Asia (2000-2022)
* Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets
* Long-Term Spatiotemporal Patterns and Evolution of Regional Heat Islands in the Beijing-Tianjin-Hebei Urban Agglomeration
* Long-Term Spatiotemporal Variability of Whitings in Lake Geneva from Multispectral Remote Sensing and Machine Learning
* Long-Term Stationary Object Detection Based on Spatio-Temporal Change Detection
* Long-Term Subsidence in Lava Fields at Piton de la Fournaise Volcano Measured by InSAR: New Insights for Interpretation of the Eastern Flank Motion
* Long-Term Subsidence Monitoring of the Alluvial Plain of the Scheldt River in Antwerp (Belgium) Using Radar Interferometry
* Long-Term Surface Water Dynamics Analysis Based on Landsat Imagery and the Google Earth Engine Platform: A Case Study in the Middle Yangtze River Basin
* Long-Term Temporal and Spatial Monitoring of Cladophora Blooms in Qinghai Lake Based on Multi-Source Remote Sensing Images
* Long-Term Temporal Convolutions for Action Recognition
* Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data
* Long-Term Tibetan Alpine Vegetation Responses to Elevation-Dependent Changes in Temperature and Precipitation in an Altered Regional Climate: A Case Study for the Three Rivers Headwaters Region, China
* Long-Term Time-Sensitive Costs for CRF-Based Tracking by Detection
* Long-Term Tracking in the Wild: A Benchmark
* Long-term Tracking Of A Specific Vehicle Using Airborne Optical Camera Systems
* Long-Term Tracking through Failure Cases
* Long-Term Tracking With Deep Tracklet Association
* Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture
* Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network
* Long-Term Trends and Interannual Variability in Surface Ozone Levels in Beijing from 1995 to 2020, The
* Long-Term Trends and Interannual Variability of Wind Forcing, Surface Circulation, and Temperature around the Sub-Antarctic Prince Edward Islands
* Long-Term Trends in Root-Zone Soil Moisture across CONUS Connected to ENSO
* Long-Term Trends of Atmospheric CH4 Concentration across China from 2002 to 2016
* Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs
* Long-Term Validation of TerraSAR-X and TanDEM-X Orbit Solutions with Laser and Radar Measurements
* Long-Term Variability in Sea Surface Temperature and Chlorophyll a Concentration in the Gulf of California
* Long-Term Variability of Atmospheric Visual Range (1980-2020) over Diverse Topography of Pakistan
* Long-Term Variability of Surface Albedo and Its Correlation with Climatic Variables over Antarctica
* Long-Term Variation Assessment of Aerosol Load and Dominant Types over Asia for Air Quality Studies Using Multi-Sources Aerosol Datasets
* Long-Term Variation in the Tropospheric Nitrogen Dioxide Vertical Column Density over Korea and Japan from the MAX-DOAS Network, 2007-2017
* Long-Term Variation of Black Carbon Absorption Aerosol Optical Depth from AERONET Data over East Asia
* Long-Term Variation of Greenhouse Gas N2O Observed by MLS during 2005-2020
* Long-Term Variation Study of Fine-Mode Particle Size and Regional Characteristics Using AERONET Data
* Long-Term Variations in the Pixel-to-Pixel Variability of NOAA AVHRR SST Fields from 1982 to 2015
* Long-Term Variations of Plasmaspheric Total Electron Content from Topside GPS Observations on LEO Satellites
* Long-Term Vegetation Phenology Changes and Responses to Preseason Temperature and Precipitation in Northern China
* Long-Term Vegetation Recovery Estimation for Mt. Jou-Jou Using Multi-Date SPOT 1, 2, and 4 Images, A
* Long-Term Vicarious Calibration of GOSAT Short-Wave Sensors: Techniques for Error Reduction and New Estimates of Radiometric Degradation Factors
* Long-term Video Frame Interpolation via Feature Propagation
* Long-Term Video Generation with Evolving Residual Video Frames
* Long-term video interpolation with bidirectional predictive network
* Long-Term Video Prediction via Criticization and Retrospection
* Long-Term Video Question Answering via Multimodal Hierarchical Memory Attentive Networks
* Long-Term Visual Localization Revisited
* Long-Term Visual Localization with Mobile Sensors
* Long-term Visual Map Sparsification with Heterogeneous GNN
* Long-Term Visual Object Tracking Benchmark
* Long-term Visual Place Recognition
* Long-Term Volcanic Activity at Shiveluch Volcano: Nine Years of ASTER Spaceborne Thermal Infrared Observations
* Long-Term Water Storage Changes of Lake Volta from GRACE and Satellite Altimetry and Connections with Regional Climate
* Long-Term Water Surface Area Monitoring and Derived Water Level Using Synthetic Aperture Radar (SAR) at Altevatn, a Medium-Sized Arctic Lake
* Long-Term Wetland Monitoring Using the Landsat Archive: A Review
* Long-Term, High-Resolution Survey of Atmospheric Aerosols over Egypt with NASA's MODIS Data
* Long-Time-Series Global Land Surface Satellite Leaf Area Index Product Derived From MODIS and AVHRR Surface Reflectance
* Long-Time Coherent Integration Algorithm for Radar Maneuvering Weak Target With Acceleration Rate
* Long-Time Coherent Integration for Marine Targets Based on Segmented Compensation
* Long-Time Coherent Integration STAP for GEO Spaceborne-Airborne Bistatic SAR, A
* Long-Time Interval Satellite Image Analysis on Forest-Cover Changes and Disturbances around Protected Area, Zeya State Nature Reserve, in the Russian Far East
* Long-Time Trends in Night Sky Brightness and Ageing of SQM Radiometers
* Long-Wave Infrared Hyperspectral Remote Sensing of Chemical Clouds: A focus on signal processing approaches
* Long-wave infrared polarimetric cluster-based vehicle detection
* Long Activity Video Understanding Using Functional Object-Oriented Network
* Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud
* Long and Short-Term Coastal Changes Assessment Using Earth Observation Data and GIS Analysis: The Case of Sperchios River Delta
* Long and Short Memory Balancing in Visual Co-Tracking Using Q-Learning
* Long automated driving phase affects take-over performance
* Long Baseline Three Carrier Ambiguity Resolution with a New Ionospheric Constraint, A
* Long Baseline Tightly Coupled DGNSS Positioning with Ionosphere-Free Inter-System Bias Calibration
* Long Bone Panoramas From Fluoroscopic X-Ray Images
* Long crested wave models
* Long Dialogue Emotion Detection Based on Commonsense Knowledge Graph Guidance
* Long distance bigram models applied to word clustering
* Long focal length panoramic imaging for photogrammetric reconstruction
* Long Focal Lens Camera Calibration Applied for Level-of-Detail Terrain Texture Fusion
* Long Integral Time Continuous Panorama Scanning Imaging Based on Bilateral Control with Image Motion Compensation
* Long Integration Fine Resolution SAR Image Formation
* Long Line Cliff Topography Measurement By Using Structure From Motion Algorithm in Photogrammetry
* Long Movie Clip Classification with State-Space Video Models
* Long range correlation of preceded pixels relations and application to off-line signature verification
* Long range gait matching using 3D body fitting with gait-specific motion constraints
* Long range image enhancement
* Long range iris recognition: A survey
* Long Range Pooling for 3D Large-Scale Scene Understanding
* Long scene panorama generation for indoor environment
* Long Sequence Matching and Motion
* Long Sequences, Motion Matching
* Long short-distance topology modelling of 3D point cloud segmentation with a graph convolution neural network
* Long short-term memory and convolutional neural network for abnormal driving behaviour recognition
* Long short-term memory based anomaly detection: A case study of China railway passenger ticketing system
* Long Short-Term Memory Convolutional Neural Network for First-Person Vision Activity Recognition, A
* Long Short-Term Memory Deep-Filter in Remote Photoplethysmography
* Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization
* Long Short-Term Memory Model with Multi-Scale Context Fusion and Attention for Radar Echo Extrapolation, An
* Long Short-Term Memory Network Based Unobtrusive Workload Monitoring With Consumer Grade Smartwatches
* Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging, A
* Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting
* Long Short-Term Memory Neural Networks for Online Disturbance Detection in Satellite Image Time Series
* Long Short-Term Relation Transformer With Global Gating for Video Captioning
* Long short term memory based patient-dependent model for FOG detection in Parkinson's disease
* Long Short Term Memory Networks for Light Field View Synthesis
* Long Short View Feature Decomposition via Contrastive Video Representation Learning
* Long Strip Modelling for CARTOSAT-1 with Minimum Control
* Long Tail of Web Video, The
* Long term activity prediction in first person viewpoint
* Long Term Air Quality Analysis In Reference to Thermal Power Plants Using Satellite Data In Singrauli Region, India
* Long term analysis of time series of satellite images
* Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts
* Long term availability analysis of experimental free space optics system
* long term change detection method for surveillance applications, A
* Long Term Changes in Flooding Around Gifu City
* Long Term Changes, Climate Change, Analysis
* Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data
* Long Term Indian Ocean Dipole (IOD) Index Prediction Used Deep Learning by convLSTM
* Long Term Interferometric Temporal Coherence and DInSAR Phase in Northern Peatlands
* Long term land cover and seagrass mapping using Landsat and object-based image analysis from 1972 to 2010 in the coastal environment of South East Queensland, Australia
* Long term learning for image retrieval over networks
* Long Term Person Re-identification from Depth Cameras Using Facial and Skeleton Data
* Long Term Relevance Feedback: A Probabilistic Axis Re-Weighting Update Scheme
* Long term spatio-temporal modeling for action detection
* Long Term Subsidence Analysis and Soil Fracturing Zonation Based on InSAR Time Series Modelling in Northern Zona Metropolitana del Valle de Mexico
* Long term tracking using bayesian networks
* Long Term Validation of Land Surface Temperature Retrieved from MSG/SEVIRI with Continuous in-Situ Measurements in Africa
* Long term video segmentation through pixel level spectral clustering on GPUs
* Long Time-Series Mapping and Change Detection of Coastal Zone Land Use Based on Google Earth Engine and Multi-Source Data Fusion
* Long time-series remote sensing analysis of the periodic cycle evolution of the inlets and ebb-tidal delta of Xincun Lagoon, Hainan Island, China
* Long Time Series Land Cover Classification in China from 1982 to 2015 Based on Bi-LSTM Deep Learning
* Long Time Span-Specific Emitter Identification Method Based on Unsupervised Domain Adaptation, A
* long trip in the charming world of graphs for Pattern Recognition, A
* Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer
* Long video question answering: A Matching-guided Attention Model
* Long Wave Infrared Image Colorization for Person Re-identification
* Long Wavelength SAR Backscatter Modelling Trends as a Consequence of the Emergent Properties of Tree Populations
* Longest Common Subsequence Algorithm Suitable for Similar Text Strings, A
* Longest k-distance substrings of two strings
* Longitudinal aberrations caused by optical filters and their compensation in multispectral imaging
* Longitudinal aliasing in multislice helical computed tomography: sampling and cone-beam effects
* Longitudinal Analysis of Pre-Term Neonatal Cerebral Ventricles From 3D Ultrasound Images Using Spatial-Temporal Deformable Registration
* Longitudinal and Lateral Control for Automated Yielding Maneuvers
* Longitudinal and lateral control of autonomous vehicles in multi-vehicle driving environments
* Longitudinal Assessment of Cerebral Blood Volume Variation in Human Neonates Using Ultrafast Power Doppler and Diverging Waves
* Longitudinal Classification of Mental Effort Using Electrodermal Activity, Heart Rate, and Skin Temperature Data from a Wearable Sensor
* Longitudinal Collision Avoidance and Lateral Stability Adaptive Control System Based on MPC of Autonomous Vehicles
* Longitudinal control of heavy trucks in mixed traffic: Environmental and fuel economy considerations
* Longitudinal driving behaviour on different roadway categories: An instrumented-vehicle experiment, data collection and case study in China
* Longitudinal error improvement by visual odometry trajectory trail and road segment matching
* Longitudinal evaluation for COVID-19 chest CT disease progression based on Tchebichef moments
* Longitudinal Evolution of Storm-Enhanced Densities: A Case Study
* Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines
* Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction
* Longitudinal Image Registration With Temporally-Dependent Image Similarity Measure
* Longitudinal In-Vivo X-Ray Fluorescence Computed Tomography With Molybdenum Nanoparticles
* longitudinal model for variations detection in white matter fiber-bundles, A
* Longitudinal Model Identification and Velocity Control of an Autonomous Car
* Longitudinal Observational Evidence of the Impact of Emotion Regulation Strategies on Affective Expression
* Longitudinal Parameter Estimation in 3D Electromechanical Models: Application to Cardiovascular Changes in Digestion
* Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions
* Longitudinal Platoon Control of Connected Vehicles: Analysis and Verification
* Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks
* Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network
* Longitudinal sampling and aliasing in spiral CT
* Longitudinal Scoliotic Trunk Analysis via Spectral Representation and Statistical Analysis
* Longitudinal speed control of autonomous vehicle based on a self-adaptive PID of radial basis function neural network
* Longitudinal structural MRI analysis and classification in Alzheimer's disease and mild cognitive impairment
* Longitudinal Structure in the Altitude of the Sporadic E Observed by COSMIC in Low-Latitudes
* Longitudinal Study of Automatic Face Recognition
* Longitudinal Velocity CF-MPC Model for Connected and Automated Vehicle Platooning, A
* Longitudinal Velocity Regulation of UGVs: A Composite Control Approach for Acceleration and Deceleration
* Longitudinal, Lateral, Vertical, and Temporal Thermal Heterogeneity in a Large Impounded River: Implications for Cold-Water Refuges
* Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images
* LongReMix: Robust learning with high confidence samples in a noisy label environment
* Longtime Coherent Integration Algorithm for High-Speed Maneuvering Target Detection Using Space-Based Bistatic Radar
* LOOC: Localize Overlapping Objects with Count Supervision
* Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion
* Look-ahead coding considering rate-distortion-optimization
* Look-Ahead Hybrid Matching Pursuit for Multipolarization Through-Wall Radar Imaging
* Look-Ahead Prediction Based Coding Unit Size Pruning for VVC Intra Coding
* Look-Ahead Strategy for Graph Matching in Retrieval by Spatial Arrangement, A
* Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition
* Look-up-table Based DCT Domain Inverse Motion Compensation
* Look-Up-Table Based Halftoning Algorithm
* Look-Up Table-Based Ray Integration Framework for 2-D/3-D Forward and Back Projection in X-Ray CT, A
* Look-up table (LUT) method for inverse halftoning
* Look-Up Table Unit Activation Function for Deep Convolutional Neural Networks
* Look ahead: understanding cognitive anticipatory processes based on situational characteristics in dynamic traffic situations
* Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks
* Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning
* Look at Adjacent Frames: Video Anomaly Detection Without Offline Training
* Look at Boundary: A Boundary-Aware Face Alignment Algorithm
* Look at Motion in the Frequency Domain, A
* Look at the Driver, Look at the Road: No Distraction! No Accident!
* Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
* Look ATME: The Discriminator Mean Entropy Needs Attention
* Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling
* Look Back and Predict Forward in Image Captioning
* Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation
* Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding
* Look Before You Match: Instance Understanding Matters in Video Object Segmentation
* Look Before you Speak: Visually Contextualized Utterances
* Look Behind You!: Using a Face Camera for Mobile Augmented Reality Odometry
* Look Beyond Bias with Entropic Adversarial Data Augmentation
* Look Both Ways: Self-supervising Driver Gaze Estimation and Road Scene Saliency
* Look Closely: Learning Exemplar Patches for Recognizing Textiles from Product Images
* Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition
* Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation
* Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator
* Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss
* Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos
* Look Here! A Parametric Learning Based Approach to Redirect Visual Attention
* Look Inside the World of Parts of Handwritten Characters
* Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark
* Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing
* Look Ma, No Landmarks!: Unsupervised, Model-based Dense Face Alignment
* Look Ma, No Mouse!: Simplifying Human-Computer Interaction by Using Hand Gestures
* Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes
* Look Out for Apple's AR Glasses: With head-up displays, cameras, inertial sensors, and lidar on board, Apple's augmented-reality glasses could redefine wearables
* Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image
* Look there! predicting where to look for motion in an active camera network
* Look up Table (LUT) Method for Image Halftoning
* Look who's talking: Speaker detection using video and audio correlation
* Look who is not talking: Assessing engagement levels in panel conversations
* Look Wider to Match Image Patches With Convolutional Neural Networks
* Look! It's Moving! Is It Alive? How Movement Affects Humans' Affinity Living and Non-Living Entities
* Look&listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement
* Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models
* Look, Listen and Learn
* Look, Perceive and Segment: Finding the Salient Objects in Images via Two-stream Fixation-Semantic CNNs
* Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence
* Lookahead adversarial learning for near real-time semantic segmentation
* Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
* Lookahead Search for Lossy Context-based Adaptive Entropy Coding
* Lookalike Disambiguation: Improving Face Identification Performance at Top Ranks
* Lookapp: interactive construction of web-based concept detectors
* Looking-Ahead: Neural Future Video Frame Prediction
* Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety
* Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction
* Looking ahead: Joint small group detection and tracking in crowd scenes
* Looking and Hearing Into Details: Dual-Enhanced Siamese Adversarial Network for Audio-Visual Matching
* Looking around in the neighbourhood: Location estimation of outdoor urban images
* Looking around the backyard helps to recognize faces and digits
* Looking Around the Corner Using Transient Imaging
* Looking Around the Corner using Ultrafast Transient Imaging
* Looking at Intersections: A Survey of Intersection Monitoring, Behavior and Safety Analysis of Recent Studies
* Looking at Machine Vision
* Looking at Pedestrians at Different Scales: A Multiresolution Approach and Evaluations
* Looking at People Special Issue
* Looking at people
* Looking at People: Sensing for Ubiquitous and Wearable Computing
* Looking at the Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress
* Looking at the Right Stuff: Guided Semantic-Gaze for Autonomous Driving
* Looking at the surprise: Bottom-up attentional control of an active camera system
* Looking at Vehicles in the Night: Detection and Dynamics of Rear Lights
* Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis
* Looking at Words and Points with Attention: A Benchmark for Text-to-Shape Coherence
* looking back screens, The
* Looking beyond appearances: Synthetic training data for deep CNNs in re-identification
* Looking Beyond Single Images for Weakly Supervised Semantic Segmentation Learning
* Looking Beyond Stereoscopic 3D's Revival
* Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection
* Looking Beyond the Visible Scene
* Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers
* Looking deeper into Time for Activities of Daily Living Recognition
* Looking for Abnormalities in Mammograms With Self- and Weakly Supervised Reconstruction
* Looking for Change? Roll the Dice and Demand Attention
* Looking for Prototypes by Genetic Programming
* Looking for Shapes in Two-Dimensional Cluttered Point Clouds
* Looking for the brain stroke signature
* Looking for the Detail and Context Devils: High-Resolution Salient Object Detection
* Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition
* Looking for the Signs: Identifying Isolated Sign Instances in Continuous Video Footage
* Looking for Ticks from Space: Using Remotely Sensed Spectral Diversity to Assess Amblyomma and Hyalomma Tick Abundance
* Looking for Trouble: Using Causal Semantics to Direct Focus of Attention
* Looking from a Higher-level Perspective: Attention and Recognition Enhanced Multi-scale Scene Text Segmentation
* Looking from Above: When Earth Observation Meets Vision
* Looking here or there? Gaze Following in 360-Degree Images
* Looking Inside Category: Subcategory-Aware Object Recognition
* Looking Into Saliency Model via Space-Time Visualization
* Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation
* Looking Outside the Box: The Role of Context in Random Forest Based Semantic Segmentation of PolSAR Images
* Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections
* Looking through the past: better knowledge retention for generative replay in continual learning
* Looking to Relations for Future Trajectory Forecast
* Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps
* Looking Under the Hood: Visualizing What LSTMs Learn
* LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
* LookTel
* Looktel: A comprehensive platform for computer-aided visual assistance
* Lookup-Table-Based Approach to Estimating Surface Solar Irradiance from Geostationary and Polar-Orbiting Satellite Data, A
* Lookup-Table-Based Gradient Field Reconstruction
* Lookup Table-Based Method for Estimating Sea Surface Hemispherical Broadband Emissivity Values (8-13.5 ľm), A
* Lookup Table Approach for Radiometric Calibration of Miniaturized Multispectral Camera Mounted on an Unmanned Aerial Vehicle
* Lookup Table Loadings for Image Processing with Controlled Knots
* Lookup tables-based detection of range spread targets in compound Gaussian environment with multiple-pulse non-coherent integration
* Loom: Interactive Weaving Through a Tangible Installation with Digital Feedback, The
* Looming Detection in Log-Polar Coordinates
* Loop-closure detection by LiDAR scan re-identification
* Loop-Closure Detection Using Local Relative Orientation Matching
* loop-consistency measure for dense correspondences in multi-view video, A
* Loop-filtering and Post-filtering for Low Bit-rate Moving Picture Coding
* Loop-free snakes for highly irregular object shapes
* Loop-Free Snakes for Image Segmentation
* Loop-shaping techniques applied to the least-mean-squares algorithm
* Loop-Wise Route Representation and Its Optimization Formulation for Symmetric Traveling Salesman Problems
* Loop and distillation: Attention weights fusion transformer for fine-grained representation
* Loop Closing for Visual Pose Tracking during Close-Range 3-D Modeling
* Loop Closure Detection by Algorithmic Information Theory: Implemented on Range and Camera Image Data
* Loop Closure Detection by Using Global and Local Features With Photometric and Viewpoint Invariance
* Loop Closure Detection With Bidirectional Manifold Representation Consensus
* Loop Closure, Simultaneous Localization and Mapping
* LOOP Descriptor: Local Optimal-Oriented Pattern
* loop filter with segmentation mode in video coding, A
* Loop Filtering and Post-Filtering for Low-Bit-Rates Moving Picture Coding
* Loop Removal from Colon Central Path Through Skeleton Scale-Space Tracking
* Loop Reversal Rule in Block Diagram and Signal Flow Graph Manipulation
* LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning
* Loopback Network for Explainable Microvascular Invasion Classification, A
* LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation
* Loopy Belief Propagation approach for robust background estimation, A
* Loopy Residual Hashing: Filling the Quantization Gap for Image Retrieval
* Loose-gray-scale template matching
* Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation
* Loose-Pattern Process Approach to Clustering Fuzzy Data Sets, A
* Loose L1/2 regularised sparse representation for face recognition
* Loose shape model for discriminative learning of object categories
* Loosecut: Interactive image segmentation with loosely bounded boxes
* Loosely Distinctive Features for Robust Surface Alignment
* Loosening Bolts Detection of Bogie Box in Metro Vehicles Based on Deep Learning
* LOP-cursor: Fast and precise interaction with tiled displays using one hand and levels of precision
* LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling
* Lorentzian Discriminant Projection and Its Applications
* LOS Signal Identification for Passive Multi-Target Localization in Multipath Environments
* Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion
* Loss-aware automatic selection of structured pruning criteria for deep neural network acceleration
* Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks
* Loss-Resilient Coding of Texture and Depth for Free-Viewpoint Video Conferencing
* Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
* Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art
* Loss Decomposition and Centroid Estimation for Positive and Unlabeled Learning
* Loss factors for learning Boosting ensembles from imbalanced data
* Loss Function Design for Data-Driven Predictors to Enhance the Energy Efficiency of Connected and Automated Vehicles
* Loss function search for person re-identification
* Loss functions for pose guided person image generation
* Loss Functions for Top-k Error: Analysis and Insights
* Loss Functions, Triplet Loss Function, Deep Learning, Neural Netowrks
* Loss Guided Activation for Action Recognition in Still Images
* Loss Max-Pooling for Semantic Image Segmentation
* Loss of Significance and Its Effect on Point Normal Orientation and Cloud Registration
* Loss Re-Scaling VQA: Revisiting the Language Prior Problem From a Class-Imbalance View
* Loss Rescaling by Uncertainty Inference For Single-Stage Object Detection
* Loss resilient H.263+ video over the Internet
* Loss reweight in scale dimension: A simple while effective feature selection strategy for anchor-free detectors
* Loss Surface of Deep Linear Networks Viewed Through the Algebraic Geometry Lens, The
* Loss Switching Fusion with Similarity Search for Video Classification
* Loss Visibility Optimized Real-Time Video Transmission Over MIMO Systems
* Lossless-by-Lossy Approach to Lossless Image Compression, A
* Lossless-constraint Denoising based Auto-encoders
* Lossless 3D steganography based on MST and connectivity modification
* Lossless acceleration for correlation-based nearest-neighbor pattern recognition
* Lossless Acceleration of Fractal Compression Using Domain and Range Block Local Variance Analysis
* Lossless acceleration of fractal image compression by fast convolution
* Lossless acceleration of fractal image encoding via the fast Fourier transform
* Lossless Aggregation for Transporting Stored Video over a CBR Communications Channel
* Lossless AI: Toward Guaranteeing Consistency between Inferences Before and After Quantization via Knowledge Distillation
* Lossless and Lossy Image Compression Using Biorthogonal Wavelet Transforms with Multiplierless Operations
* Lossless and Near-Lossless Compression for Mammographic Digital Images
* Lossless and near-lossless compression of hyperspectral images based on distributed source coding
* Lossless and Near-Lossless Compression of Still Color Images
* Lossless and Near-lossless Image Compression with Color Transformations
* Lossless and reversible colour space transformation for Bayer colour filter array images
* Lossless and Reversible Data Hiding in Encrypted Images With Public-Key Cryptography
* Lossless and Sufficient Psi-Invariant Decomposition of Random Reciprocal Target
* Lossless authentication of mpeg-2 video
* lossless blind image data hiding scheme for semi-fragile image watermark, A
* Lossless chain code compression with an improved Binary Adaptive Sequential Coding of zero-runs
* Lossless chain coder for gray edge images
* Lossless chaos-based crypto-compression scheme for image protection
* lossless coding method using shape information and rotation compensation for digital museum images, A
* Lossless Coding of Color Images using Block-Adaptive Inter-Color Prediction
* Lossless Coding of HDR Color Images in a Floating Point Format Using Block-Adaptive Inter-Color Prediction
* Lossless coding of hyperspectral images with principal polynomial analysis
* Lossless coding of light field images based on minimum-rate predictors
* Lossless Coding of Light Fields Based on 4D Minimum Rate Predictors
* Lossless Coding of Multichannel Signals Using Optimal Vector Hierarchical Decomposition
* Lossless Coding of Point Cloud Geometry Using a Deep Generative Model
* Lossless Coding of Still Images Using Minimum-rate Predictors
* Lossless Coding of Still Images with Four Channel Prediction
* Lossless Coding Using Predictors and Arithmetic Code Optimized for Each Image
* Lossless Coding, Lossless Compression, Transmission
* Lossless Color Image Compression Architecture Using a Parallel Golomb-Rice Hardware CODEC, A
* lossless color image compression method based on a new reversible color transform, A
* Lossless color medical image compression using adaptive block-based encoding for human computed tomographic images
* Lossless colour image compression using RCT for bi-level BWCA
* Lossless Compession of VQ Index with Search-Order Coding
* Lossless Compression Algorithms for Post-OPC IC Layout
* Lossless compression and information hiding in images
* Lossless Compression Approach for Mammographic Digital Images Based on the Delaunay Triangulation, A
* Lossless compression codec of aurora spectral data using hybrid spatial-spectral decorrelation with outlier recognition
* Lossless Compression for ľ-Law (Mu-Law) and IMA ADPCM on the Basis of a Fast RLS Algorithm
* Lossless Compression for RGB Color Still Images
* Lossless compression for storing similar binary images
* Lossless Compression For Volumetric Medical Images Using Deep Neural Network With Local Sampling
* lossless compression method for JPEG based on shuffle algorithm, A
* Lossless compression methods for hyperspectral images
* Lossless Compression of AVIRIS Images by Vector Quantization, The
* Lossless compression of AVIRIS images
* Lossless Compression of Bi-level Images Based on Context Selection and Hierarchical Enumerative Coding
* Lossless Compression of CCD Sensor Data
* Lossless Compression of CFA-Sampled Images Using YDGCOCG Transforms with CDF Wavelets
* Lossless compression of CFA sampled image using decorrelated Mallat wavelet packet decomposition
* Lossless Compression of Color-Quantized Images Using Block-Based Palette Reordering
* Lossless Compression of Color Filter Array Images by Hierarchical Prediction and Context Modeling
* Lossless Compression of Color Filter Array Mosaic Images With Visualization via JPEG 2000
* Lossless Compression of Color Map Images by Context Tree Modeling
* Lossless Compression of Color Mosaic Images
* Lossless Compression of Color Sequences Using Optimal Linear Prediction Theory
* Lossless Compression of Computer Generated Animation Frames
* Lossless Compression of Continuous-Tone Images via Context Selection, Quantization, and Modeling
* Lossless compression of continuous-tone images
* Lossless Compression of Continuous Tone Images by Combined Inter-Bit-Plane Decorrelation and Jbig Coding
* Lossless Compression of Correlated Images/Data with Low Complexity Encoder Using Distributed Source Coding Techniques
* Lossless Compression of Digital Mammography Using Fixed Block Segmentation and Pixel Grouping
* Lossless Compression of Event Camera Frames
* Lossless compression of HDR color filter array image for the digital camera pipeline
* Lossless Compression of Hyperspectral Image Based on 3DLMS Prediction
* Lossless Compression of Hyperspectral Imagery via Clustered Differential Pulse Code Modulation with Removal of Local Spectral Outliers
* Lossless compression of hyperspectral images using lookup tables
* Lossless Compression of Hyperspectral Images Using Multiband Lookup Tables
* Lossless Compression of Images Using Logic Minimization
* Lossless compression of JPEG coded photo albums
* Lossless Compression of JPEG Coded Photo Collections
* Lossless Compression of Map Contours by Context Tree Modeling of Chain Codes
* Lossless Compression of Medical Images Using 3-D Predictors
* Lossless Compression of Microarray Images Using Image-Dependent Finite-Context Models
* Lossless Compression of Microarray Images
* Lossless compression of multi-dimensional medical image data using binary-decomposed high-order entropy coding
* Lossless Compression of Multi/Hyper-Spectral Imagery Based on a 3-D Fuzzy Prediction
* Lossless compression of multispectral image data
* Lossless Compression of Polar Iris Image Data
* Lossless compression of pre-press images using a novel colour decorrelation technique
* Lossless Compression of Public Transit Schedules
* Lossless Compression of Satellite Image Sets Using Spatial Area Overlap Compensation
* Lossless Compression of Segmented CT Medical Images According to the Hounsfield Scale
* Lossless compression of subaperture images using context modeling
* Lossless Compression of Textual Images: A Study on Indic Script Documents
* Lossless Compression of Video Sequences
* Lossless compression of video using temporal information
* Lossless Compression of VLSI Layout Image Data
* Lossless Compression Scheme for Bayer Color Filter Array Images, A
* Lossless Compression Using Joint Predictor for Astronomical Images
* Lossless data compression for image decomposition with recursive IDP algorithm
* lossless data embedding technique by joint neighboring coding, A
* Lossless Data Embedding Using Generalized Statistical Quantity Histogram
* Lossless Data Embedding: New Paradigm in Digital Watermarking
* Lossless data hiding for absolute moment block truncation coding using histogram modification
* Lossless data hiding for color images based on block truncation coding
* Lossless data hiding for halftone images
* Lossless Data Hiding for Medical Images with Patient Information
* Lossless Data Hiding in Encrypted Images Compatible With Homomorphic Processing
* Lossless data hiding in JPEG bitstream using alternative embedding
* lossless data hiding scheme based on three-pixel block differences, A
* Lossless Data Hiding Using Histogram Shifting Method Based on Integer Wavelets
* lossless DCT for combined lossy/lossless image coding, The
* Lossless DEM Watermark Signature Based on Directional Wavelet
* Lossless digital image watermarking in sparse domain by using K-singular value decomposition algorithm
* Lossless Embedded Compression Using Significant Bit Truncation for HD Video Coding, A
* Lossless FMO and Slice Structure Modification for Compressed H.264 Video
* Lossless Frame Memory Compression Using Pixel-Grain Prediction and Dynamic Order Entropy Coding
* Lossless Generalized-LSB Data Embedding
* Lossless Hyperspectral-Image Compression Using Context-Based Conditional Average
* Lossless Hyperspectral Image Compression Using Binary Tree Based Decomposition
* Lossless Image and Intra-Frame Compression With Integer-to-Integer DST
* Lossless image and video coding based on H.264/AVC intra predictions with simplified interpolations
* Lossless Image Coding Based on Inter-color Prediction for Ultra High Definition Image
* Lossless image coding using adaptive, switching algorithm with automatic fuzzy context modelling
* Lossless image coding via adaptive linear prediction and classification
* Lossless image compression algorithm and hardware architecture for bandwidth reduction of external memory
* lossless image compression algorithm using variable block size segmentation, A
* Lossless image compression and encryption using SCAN
* Lossless Image Compression and Selective Encryption using a Discrete Radon Transform
* Lossless image compression based on a fuzzy linear prediction with context based entropy coding
* Lossless Image Compression based on Enhanced Fuzzy Regression Prediction
* Lossless Image Compression Based on Optimal Prediction, Adaptive Lifting, and Conditional Arithmetic Coding
* Lossless Image Compression by Block Matching
* Lossless image compression by LMS adaptive filter banks
* Lossless Image Compression by Quantization Feedback in a Content-Driven Enhanced Laplacian Pyramid
* Lossless Image Compression Method for Human Static Signatures, A
* Lossless image compression using 2D allpass filters
* Lossless Image Compression Using a Multi-scale Progressive Statistical Model
* Lossless Image Compression using Adaptive Predictor Combination, Symbol Mapping and Context Filtering
* Lossless image compression using adjustable fractional line-buffer
* Lossless image compression using binary wavelet transform
* Lossless image compression using causal block matching and 3D collaborative filtering
* Lossless image compression using gradient based space filling curves (G-SFC)
* Lossless Image Compression Using Integer to Integer Wavelet Transforms
* Lossless Image Compression using Modular Differential Pulse Code Modulation
* Lossless Image Compression Using Predictive Codebooks
* Lossless Image Compression Using Super-Spatial Structure Prediction
* Lossless Image Compression Using the Discrete Cosine Transform
* Lossless Image Compression Using Wavelet Decomposition
* Lossless image compression via predictive coding of discrete Radon projections
* Lossless Image Compression with BCTW
* Lossless image compression with multiscale segmentation
* Lossless image compression with projection-based and adaptive reversible integer wavelet transforms
* Lossless integer color transform for four color components
* Lossless Integer Wavelet Transform
* Lossless intra coding in HEVC with adaptive 3-tap filters
* Lossless light-field compression using reversible colour transformations
* Lossless Light Field Compression Using 4D Wavelet Transforms
* Lossless medical image watermarking method based on significant difference of cellular automata transform coefficient
* Lossless Microarray Image Compression using Region Based Predictors
* lossless morphological sampling scheme for segmented image compression, A
* Lossless nibbled data embedding scheme based on difference expansion
* Lossless parameterisation of image contour for shape recognition
* Lossless PDE-Based Compression of 3D Medical Images
* Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model
* Lossless Predictive Coding for Images With Bayesian Treatment
* Lossless predictive coding with Bayesian treatment
* Lossless progressive transmission of scientific data using biorthogonal wavelet transform
* Lossless Quantization of Hadamard Transform Coefficients
* Lossless re-coding using integer linear programming for H.264/MPEG-4 AVC
* Lossless Recompression of JPEG Images Using Transform Domain Intra Prediction
* Lossless recovery of a VQ index table with embedded secret data
* Lossless region of interest coding
* Lossless region of interest with a naturally progressive still image coding algorithm
* lossless robust data hiding scheme, A
* Lossless ROI Medical Image Watermarking Technique with Enhanced Security and High Payload Embedding
* Lossless screen content coding in HEVC based on sample-wise median and edge prediction
* Lossless shape coding using the four colors theorem
* Lossless Tagged Visual Cryptography Scheme, A
* Lossless to Lossy Dual-Tree BEZW Compression for Hyperspectral Images
* Lossless transform coding system for digital signals
* Lossless Video Coding Based On Probability Model Optimization Utilizing Example Search And Adaptive Prediction
* Lossless Video Coding Based on Probability Model Optimization With Improved Adaptive Prediction
* Lossless Video Coding Using Lattice Based Distributed Source Coding Techniques
* Lossless video coding using optimal 3D prediction
* Lossless video compression based on backward adaptive pixel-based fast motion estimation
* Lossless Video Sequence Compression Using Adaptive Prediction
* Lossless Watermarking Algorithm for Geographic Point Cloud Data Based on Vertical Stability
* Lossless Watermarking Considering the Human Visual System
* Lossless Watermarking for Image Authentication: A New Framework and an Implementation
* Lossless White Balance for Improved Lossless CFA Image and Video Compression
* Lossless, Near-Lossless, and Refinement Coding of Bilevel Images
* Lossless, Reconstructions from Wavelet Coded Images
* Lossless/ Lossy Progressive Coding based on Reversible Wavelet and Lossless Multi-channel Prediction
* Lossy-To-Lossless Block-Based Compression of Hyperspectral Volumetric Data
* Lossy-to-Lossless Compression of Images Based on Binary Tree Decomposition
* Lossy-to-lossless compression of medical volumetric data using three-dimensional integer wavelet transforms
* Lossy-to-lossless image compression based on multiplier-less reversible integer time domain lapped transform
* Lossy-to-lossless progressive coding of depth-map images using competing constant and planar models
* Lossy and Lossless (L2) Post-training Model Size Compression
* Lossy and Lossless Compression for Color-quantized Images
* Lossy and lossless image compression using reversible integer wavelet transforms
* Lossy and lossless image encoding using multi-scale recurrent pattern matching
* Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics
* Lossy Compression Effects on Digital Image Matching
* Lossy Compression of Bilevel Images Based on Markov Random Fields
* Lossy compression of clustered-dot halftones
* Lossy Compression of Hyperspectral Data Using Vector Quantization
* Lossy Compression of Images Corrupted by Film Grain Noise
* Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise
* Lossy compression of lenslet images from plenoptic cameras combining sparse predictive coding and JPEG 2000
* Lossy Compression of Multispectral Satellite Images with Application to Crop Thematic Mapping: A HEVC Comparative Study
* Lossy Compression of Noisy Images
* Lossy Compression of Stochastic Halftones with JBIG2
* Lossy compression of ultraspectral images: Integrating preprocessing and compression stages
* lossy compression scheme for encrypted images exploiting Cauchy distribution and weighted rate distortion optimization, A
* Lossy Compression with Distortion Constrained Optimization
* Lossy Cutset Coding of Bilevel Images Based on Markov Random Fields
* Lossy Depth Image Compression using Greedy Rate-Distortion Slope Optimization
* Lossy dictionary-based image compression method
* Lossy encoding of motion vectors using entropy-constrained vector quantization
* Lossy Event Compression Based on Image-Derived Quad Trees and Poisson Disk Sampling
* Lossy GIF Compression Using Deep Intrinsic Parameterization
* Lossy image coding in the pixel domain using a sparse steering kernel synthesis approach
* Lossy Image Compression with Quantized Hierarchical VAEs
* Lossy Image Compression: Domain Decomposition-Based Algorithms
* Lossy Lempel-Ziv Algorithm for Large Alphabet Sources and Applications to Image Compression
* Lossy LiDAR Point Cloud Compression via Cylindrical 3D Convolution Networks
* Lossy Point Cloud Geometry Compression Via Dyadic Decomposition
* Lossy Point Cloud Geometry Compression via End-to-End Learning
* Lossy Point Cloud Geometry Compression via Region-Wise Processing
* Lossy predictive coding of SAR raw data
* Lossy to lossless image compression based on reversible integer DCT
* Lossy to Lossless Image Compression Using Allpass Filters
* Lossy to lossless object-based coding of 3-d MRI data
* Lossy volume compression using Tucker truncation and thresholding
* Lossy/Lossless Coding Algorithm Using Histogram, A
* lossy/lossless compression method for printed typeset bi-level text images based on improved pattern matching, A
* Lossy/lossless region-of-interest image coding based on set partitioning in hierarchical trees
* Lost But Found? Harnessing the Internet for Photometric Completion
* Lost Heritage of Roman Iron and Steel Bridges. Virtual Reconstruction of Two Case Studies, The
* LOST Highway: A Multiple-Lane Ant-Trail Algorithm to Reduce Congestion in Large-Population Multi-robot Systems
* Lost in binarization: query-adaptive ranking for similar image search with compact codes
* Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery
* Lost in quantization: Improving particular object retrieval in large scale image databases
* Lost In The Cloud - New Challenges For Teaching Gis
* Lost Landscape: A Combination of LiDAR and APSFR Data to Locate and Contextualize Archaeological Sites in River Environments
* Lost Person Search Area Prediction Based on Regression and Transfer Learning Models
* Lost Shopping! Monocular Localization in Large Indoor Spaces
* Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization
* LOST: Longterm Observation of Scenes (with Tracks)
* LOT coding for arbitrarily shaped object regions
* LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding
* LOTS: Litter On The Sand dataset for litter segmentation
* Lottery Jackpots Exist in Pre-Trained Models
* Lottery Ticket Hypothesis for Object Recognition, The
* Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models, The
* Lotus Hill Institute
* LOTUS: Composing a multi-user interactive tiled display virtual environment
* Louvain-Based Traffic Object Detection for Roadside 4D Millimeter-Wave Radar
* Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks, The
* Love Thy Neighbors: Image Annotation by Exploiting Image Metadata
* Loveparade 2010: Automatic video analysis of a crowd disaster
* Lovász Hinge: A Novel Convex Surrogate for Submodular Losses, The
* Low-Aliasing Wavelets for Pyramidal Image Coding
* Low-Altitude Aerial Methane Concentration Mapping
* Low-Altitude Flight Conflict Detection Algorithm Based on a Multilevel Grid Spatiotemporal Index, A
* Low-Altitude Remote Sensing Inspection Method on Rural Living Environments Based on a Modified YOLOv5s-ViT, A
* Low-Altitude Remote Sensing Opium Poppy Image Detection Based on Modified YOLOv3
* Low-and Semantic-Level Cues for Forensic Splice Detection
* Low-bit-rate coding of underwater color image using improved wavelet difference reduction
* Low-Bit-Rate Video Coding Using Dense Motion Field and Uncovered Background Prediction
* Low-Bit-Rate VQ: A Projection Based Approach
* Low-bit depth-high-dynamic range image generation by blending differently exposed images
* Low-bit Quantization Needs Good Distribution
* Low-bit Quantization of Neural Networks for Efficient Inference
* Low-bit rate subband video coding
* Low-bitrate benefits of JPEG compression on sift recognition
* Low-budget label query through domain alignment enforcement
* Low-Carbon Charging Facilities Planning for Electric Vehicles Based on a Novel Travel Route Choice Model
* Low-Complex Single-Snapshot DoA-Estimation With Higher Degree of Atomic Separation-Freedom in a MU-MIMO System Aided by Prior Information
* Low-Complexity 2D Direction-of-Arrival Estimation for Acoustic Sensor Arrays
* Low-Complexity 2D DOA Estimation and Self-Calibration for Uniform Rectangle Array with Gain-Phase Error
* Low-complexity 3D-DWT video encoder applicable to IPTV
* Low-complexity algorithm for fractional-pixel motion estimation
* Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts, A
* Low-Complexity Analytical Modeling for Cross-Layer Adaptive Error Protection in Video Over WLAN, A
* Low-Complexity and Context-Aware Estimation of Spatial and Temporal Activity Parameters for Automotive Camera Rate Control
* Low-complexity and efficient image coder/decoder with quad-tree search model for embedded computing platforms
* Low-complexity and high-efficiency background modeling for surveillance video coding
* Low-complexity and low-memory entropy coder for image compression
* Low-complexity and robust comic fingerprint method for comic identification
* Low-Complexity Approach for the Color Display of Hyperspectral Remote-Sensing Images Using One-Bit-Transform-Based Band Selection, A
* Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing, A
* Low-complexity arbitrarily shaped transform and coefficient ordering method based on the four-point DCT
* Low-complexity background subtraction based on spatial similarity
* Low-Complexity Bit-Plane Entropy Coding and Rate Control for 3-D DWT Based Video Coding, A
* Low-Complexity Block-Based Motion Estimation via One-Bit Transforms
* Low-complexity block size decision for HEVC intra coding using binary image feature descriptors
* Low-complexity block tree image coder for visual sensor networks
* Low-Complexity Channel-Estimate Based Adaptive Linear Equalizer
* Low-Complexity Chroma Subsampling Using Optimal Lines of Subproblems of Pixel Distortion
* Low-Complexity Coarse-Level Mode-Mapping Based H.264/AVC to H.264/SVC Spatial Transcoding for Video Conferencing
* Low-complexity compression of high dynamic range infrared images with JPEG compatibility
* Low-complexity compression of multispectral images based on classified transform coding
* Low-complexity content-aware image retargeting
* Low-Complexity Cross-Layer Optimization Algorithm for Video Communication Over Wireless Networks, A
* Low-Complexity CTU Partition Structure Decision and Fast Intra Mode Decision for Versatile Video Coding
* low-complexity data-adaptive approach for premature ventricular contraction recognition, A
* Low-Complexity Deformation Invariant Descriptor, A
* Low-complexity depth map compression in HEVC-based 3D video coding
* Low-Complexity Design of Noninteger Fractionally Spaced Adaptive Equalizers for Coherent Optical Receivers
* Low-Complexity Detection for MIMO C-FBMC Using Orthogonal Approximate Message Passing
* Low-complexity dictionary based lossless screen content coding
* Low-complexity digital filter bank for strongly aberrated optical systems having variable f-numbers
* Low-complexity direct computation algorithm for cubic-spline interpolation scheme
* Low-Complexity Embedded Compression Codec Design With Rate Control for High-Definition Video, A
* Low-Complexity Energy Efficiency Optimization with Statistical CSI in Two-Hop MIMO Systems
* Low-complexity enhanced lapped transform for image coding in JPEG XR / HD photo
* Low-Complexity Enhancement Layer Compression for Scalable Lossless Video Coding Based on HEVC
* low-complexity error-resilient H.263 coder, A
* low-complexity error concealment algorithm for video transmission based on non-local means denoising, A
* Low-Complexity Error Resilient HEVC Video Coding: A Deep Learning Approach
* Low-complexity Face-assisted Video Coding
* Low-complexity face recognition using contour-based binary descriptor
* Low-complexity feedback-channel-free distributed video coding using local rank transform
* Low-Complexity Fractal-Based Image Compression Technique
* Low-Complexity Global Motion Estimation for Aerial Vehicles
* Low-complexity Global Motion Estimation from P-frame Motion Vectors for Mpeg-7 Applications
* Low-complexity GMM-based block quantisation of images using the discrete cosine transform
* Low-Complexity Hand Gesture Recognition System for Continuous Streams of Digits and Letters
* Low-complexity heterogeneous architecture for H.264/HEVC video transcoding
* Low-Complexity Heterogeneous Video Transcoding Using Data Mining
* Low-complexity high-quality adaptive deblocking filter for H.264/AVC system
* Low-complexity HOG for efficient video saliency
* Low-complexity Image-based 3D Gaming
* Low-Complexity Image and Video Coding Based on an Approximate Discrete Tchebichef Transform
* Low-complexity image coder/decoder with an approaching-entropy quad-tree search code for embedded computing platforms
* low-complexity image compression approach with single spatial prediction mode and transform, A
* Low-Complexity Image Denoising Based on Statistical Modeling of Wavelet Coefficients
* Low-Complexity Image Registration Algorithm for Global Motion Estimation, A
* Low-Complexity Implementation of the Affine Projection Algorithm
* Low-complexity inter-layer residual prediction for scalable video coding
* Low-Complexity Interpolation Method for Deinterlacing, A
* Low-Complexity Intra Coding for Scalable Extension of HEVC Based on Content Statistics
* Low-complexity intra prediction algorithm for video down-sizing transcoder
* Low-Complexity Inverse Transforms of Video Codecs in an Embedded Programmable Platform
* Low-complexity iris recognitionwith oriented wavelets
* low-complexity iterative mode selection algorithm for Wyner-Ziv video compression, A
* Low-Complexity Joint 2-D DOA and TOA Estimation for Multipath OFDM Signals
* Low-Complexity Joint Antenna Tilting and User Scheduling for Large-Scale ZF Relaying
* Low-Complexity Joint Color Demosaicking and Zooming Algorithm for Digital Camera, A
* Low-Complexity Joint Temporal-Quality Scalability Rate Control for H.264/SVC
* Low-Complexity Joint Transmit and Receive Beamforming for MIMO Radar With Multi-Targets
* Low-Complexity Joint User Activity, Channel and Data Estimation for Grant-Free Massive MIMO Systems, A
* Low-complexity L_inf-compression of light field images with a deep-decompression stage
* Low-Complexity Linear-Phase Graphic Audio Equalizer Based on IFIR Filters, A
* Low-Complexity Linear Demosaicing Using Joint Spatial-Chromatic Image Statistics
* Low-Complexity Lossless Compression of Hyperspectral Imagery via Linear Prediction
* Low-complexity lossless video coding via adaptive spatio-temporal prediction
* Low-complexity lossy compression of hyperspectral images via informed quantization
* Low-Complexity LS Turbo Channel Estimation Technique for MU-MIMO Systems, A
* Low-complexity macroblock mode selection for H.264/AVC encoders
* low-complexity metric for the estimation of perceived chrominance sub-sampling errors in screen content images, A
* Low-Complexity MMSE Precoding for Coordinated Multipoint With Per-Antenna Power Constraint
* Low-complexity mode-dependent KLT for block-based intra coding
* Low-Complexity Mode Decision for MVC
* Low-Complexity Modified ThiNet Algorithm for Pruning Convolutional Neural Networks, A
* Low-complexity motion estimation for VLBR video coders
* low-complexity MPEG-2 to H.264/AVC wavefront intra-frame transcoder architecture, A
* Low-complexity multi-standard variable length coding decoder using tree-based partition and classification
* Low-Complexity Multi-Type Tree Partitioning for Versatile Video Coding Based on Machine Learning
* Low-Complexity Multidimensional DCT Approximations for High-Order Tensor Data Decorrelation
* Low-Complexity Multiresolution Image Compression Using Wavelet Lower Trees
* Low-Complexity Multiuser Adaptive Modulation Scheme for Massive MIMO Systems, A
* Low-complexity near-lossless image coder for efficient bus traffic in very large size multimedia SoC
* Low-Complexity Near-ML Differential Spatial Modulation Detector, A
* Low-Complexity One-Bit DOA Estimation for Massive ULA with a Single Snapshot
* Low-Complexity Optimal Hard Decision Fusion Under the Neyman-Pearson Criterion
* Low-Complexity Order-64 Integer Cosine Transform Design and its Application in HEVC
* low-complexity packet classification algorithm for multiple description video streaming over IEEE802.11E networks, A
* Low-Complexity Packet Scheduling Algorithms for Streaming Scalable Media Based on Time Utility Function
* low-complexity palette re-indexing technique based on sampling-swapping, A
* Low-Complexity Parabolic Lip Contour Model With Speaker Normalization for High-Level Feature Extraction in Noise-Robust Audiovisual Speech Recognition, A
* Low-Complexity Pedestrian Detection Framework for Smart Video Surveillance Systems, A
* Low-complexity Post-processing for Artifact Reduction in Block-DCT Based Video Coding
* Low-complexity progressive image transmission scheme based on quadtree segmentation
* low-complexity psychometric curve-fitting approach for the objective quality assessment of streamed game videos, A
* Low-Complexity Quality Monitoring of MPEG-2 Video in a Network
* Low-complexity quantization for H.264/AVC
* Low-Complexity R-peak Detection Algorithm with Adaptive Thresholding for Wearable Devices, A
* Low-Complexity Rate-Distortion Optimal Macroblock Mode Selection and Motion Estimation for MPEG-Like Video Coders
* Low-complexity rate-distortion optimal transcoding of MPEG I-frames
* Low-Complexity Rate-Distortion Optimization Algorithms for HEVC Intra Prediction
* Low-Complexity Rate-Distortion Optimized Video Streaming
* low-complexity rate allocation algorithm for joint source-channel video coding, A
* Low-complexity rate control based on rho-domain model for Scalable Video Coding
* Low-Complexity Rate Control for Efficient H.263 to H.264/AVC Video Transcoding
* Low-complexity rate control in video coding based on bi-geometric transparent composite models
* low-complexity rate distortion model for motion estimation in H.263, A
* low-complexity reduced-reference print identification algorithm, A
* Low-Complexity Region-Based Video Coder Using Backward Morphological Motion Field Segmentation
* Low-Complexity Region-Based Video Compression Framework Using Morphology, A
* Low-Complexity Region-of-Interest Extraction for Multiview Video Coding
* Low-complexity Scalable DCT Image Compression
* Low-Complexity Scalable Encoder Based on Local Adaptation of the Spatial Resolution
* Low-Complexity Scaler Based on Convolutional Neural Networks for Adaptive Video Streaming
* Low-Complexity Scene Understanding Network
* Low-complexity scheme for adaptive interpolation filter based on amplitude characteristic analysis
* Low-Complexity Screen Compression Scheme for Interactive Screen Sharing, A
* low-complexity screen compression scheme, A
* Low-Complexity Semi-Blind Channel Estimation Algorithms for Vehicular Communications Using the IEEE 802.11p Standard
* low-complexity sensing algorithm for cooperative cognitive MIMO systems, A
* Low-complexity separable multiplier-less loop filter for video coding
* Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding
* Low-complexity skip prediction for H.264 through Lagrangian cost estimation
* low-complexity soft VLC decoder using performance modeling, A
* Low-Complexity Spectrum Shaping for OFDM-Based Cognitive Radio Systems
* Low-Complexity Subband Image-Coding with Pseudo QMF and Pyramidal Lattice VQ
* Low-complexity temporal error concealment by motion vector processing for mobile video applications
* Low-Complexity Topological Derivative-Based Segmentation
* Low-Complexity Tracking-Aware H.264 Video Compression for Transportation Surveillance
* Low-Complexity Transceiver Design in Sparse Multipath Massive MIMO Channels, A
* Low-Complexity Transcoding of Inter Coded Video Frames from H.264 to H.263
* Low-Complexity Transcoding of JPEG Images With Near-Optimal Quality Using a Predictive Quality Factor and Scaling Parameters
* Low-Complexity Transform Adjustments for Video Coding
* Low-complexity transform and quantization in H.264/AVC
* Low-complexity transform and quantization with 16-bit arithmetic for H.26L
* Low-Complexity TTCM Based Distributed Video Coding Architecture
* Low-complexity unbalanced multiple description coding based on balanced clusters for adaptive peer-to-peer video streaming
* Low-Complexity Underwater Acoustic Coherent Communication System for Small AUV, A
* low-complexity upsampling technique for H.264, A
* Low-Complexity Velocity Estimation in High-Speed Optical Doppler Tomography Systems
* Low-Complexity Video Coding Based on Two-Dimensional Singular Value Decomposition
* Low-Complexity Video Coding for Receiver-Driven Layered Multicast
* Low-complexity video coding via power-rate-distortion optimization
* Low-Complexity Video Compression Combining Adaptive Multifoveation and Reuse of High-Resolution Information
* Low-Complexity Video Quality Assessment Using Temporal Quality Variations
* Low-Complexity Vision-Based System for Real-Time Traffic Monitoring, A
* Low-Complexity Voice Activity Detector Using Periodicity and Energy Ratio
* Low-Complexity Voice Detector for Mobile Environments
* Low-Complexity, Efficient 9/7 Wavelet Filters Implementation
* low-complexity, motion-robust, spatio-temporally adaptive video de-noiser with in-loop noise estimation, A
* Low-computation egocentric barcode detector for the blind
* Low-Computational Approach on Gaze Estimation With Eye Touch System, A
* Low-contrast satellite images enhancement using discrete cosine transform pyramid and singular value decomposition
* Low-contrast surface inspection of mura defects in liquid crystal displays using optical flow-based motion analysis
* Low-cost & Realtime Motion Capture System, A
* Low-cost 3D Laser Scanning in Air Orwater Using Self-calibrating Structured Light
* Low-cost 3DUI using hand tracking and controllers
* Low-cost 4d BIM Modelling: a Comparison Between Freecad and Commercial Software
* Low-cost Airborne Platform For Ecological Monitoring, A
* low-cost and calibration-free gaze estimator for soft biometrics: An explorative study, A
* Low-Cost and Efficient Indoor 3D Reconstruction through Annotated Hierarchical Structure-from-Motion
* Low-Cost and Fast Operational Procedure to Identify Potential Slope Instabilities in Cultural Heritage Sites, A
* Low-cost and high-speed hardware implementation of contrast-preserving image dynamic range compression for full-HD video enhancement
* Low-Cost and Robust Landsat-Based Approach to Study Forest Degradation and Carbon Emissions from Selective Logging in the Venezuelan Amazon, A
* Low-Cost and Robust Multi-Sensor Data Fusion Scheme for Heterogeneous Multi-Robot Cooperative Positioning in Indoor Environments, A
* Low-Cost Anti-Copying 2D Barcode by Exploiting Channel Noise Characteristics
* low-cost architecture for real-time processing and analysis of binary images, A
* Low-Cost Attack on Branch-Based Software Watermarking Schemes, A
* Low-Cost Attitude Estimation Using GPS/IMU Fusion Aided by Land Vehicle Model Constraints and Gravity-Based Angles
* Low-Cost Automatic Slope Monitoring Using Vector Tracking Analyses on Live-Streamed Time-Lapse Imagery
* Low-Cost BDS Reflectometry for Real-Time Water Surface Retrieval
* Low-Cost Beamforming and DOA Estimation Based on One-Bit Reconfigurable Intelligent Surface
* Low-cost biometric recognition system based on NIR palm vein image
* Low-cost bus seating information technology system
* Low-Cost Calibration Method for Automated Optical Mensuration Using A Video Camera, A
* Low-cost camera array for mitigating lighting range effects
* Low-Cost Compressive Sensing for Color Video and Depth
* Low-Cost Computer Vision System for Real-Time Tennis Analysis, A
* Low-Cost Content-Adaptive and Rate-Controllable Near-Lossless Image Codec in DPCM Domain, A
* Low-cost dedicated hardware IP modules for background subtraction in embedded vision systems
* Low-Cost Deep Learning System to Characterize Asphalt Surface Deterioration, A
* Low-cost Development of An Interactive, Immersive Virtual Reality Experience of The Historic City Model Stade 1620
* Low-cost DGPS Assisted Aerial Triangulation for Sub-decimetric Accuracy With Non-RTK UAVs
* Low-Cost Eye Gaze Prediction System for Interactive Networked Video Streaming
* Low-cost Fiberoptic Probe for Ammonia Early Detection in Fish Farms
* Low-Cost Four-Dimensional Experience Theater Using Home Appliances
* Low-Cost GNSS and Real-Time PPP: Assessing the Precision of the u-blox ZED-F9P for Kinematic Monitoring Applications
* Low-Cost Hardware Architecture for Illumination Adjustment in Real-Time Applications, A
* Low-Cost Head and Eye Tracking System for Realistic Eye Movements in Virtual Avatars, A
* Low-Cost High-Quality Adaptive Scalar for Real-Time Multimedia Applications, A
* Low-Cost Imaging Method to Avoid Hand Shake Blur for Cell Phone Cameras, A
* Low-Cost Implementation of a 360 Deg Vision Distributed Aperture System, A
* Low-Cost IMU and Odometer Tightly Augmented PPP-B2b-Based Inter-Satellite Differenced PPP in Urban Environments
* Low-cost Interactive Active Monocular Range Finder
* Low-cost interactive active range finder
* Low-cost junction characterization using polar averaging filters
* Low-Cost Ka-Band Cloud Radar System for Distributed Measurements within the Atmospheric Boundary Layer
* Low-Cost Lane-Determination System Using GNSS/IMU Fusion and HMM-Based Multistage Map Matching, A
* Low-Cost Laser Range Scanner and Fast Surface Registration Approach
* Low-cost license plate detection using a calibrated camera
* low-cost lighthouse-based virtual reality head tracking system, A
* Low-Cost Lipschitz-Independent Adaptive Importance Sampling of Stochastic Gradients
* Low-cost Markerless Tracking System for Trajectory Interpretation, A
* Low-Cost Mirror-Based Active Perception System for Effective Collision Free Underwater Robotic Navigation, A
* Low-Cost Mixed Reality Simulator for Industrial Vehicle Environments
* Low-Cost Multi-image Based 3D Human Body Modeling
* low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements, A
* Low-cost Multispectral Scene Analysis with Modality Distillation
* Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs, A
* Low-Cost Object Detection Models for Traffic Control Devices through Domain Adaption of Geographical Regions
* Low-cost Optical Camera System for Disaster Monitoring
* Low-cost optical Camera Systems for real-time Mapping Applications
* Low-Cost Optoelectronic System for Three-Dimensional Artwork Texture Measurement
* low-cost parallel K-means VQ algorithm using cluster computing, A
* Low-Cost Pedestrian-Detection System With a Single Optical Camera, A
* Low-cost plenoptic camera with off-the-shelf components
* Low-Cost Portable Polycamera for Stereoscopic 360° Imaging, A
* Low-Cost Radiometer for Landsat Land Surface Temperature Validation
* Low-Cost Range Finder using a Visually Located, Structured Light Source, A
* Low-Cost Real-Time PPP GNSS Aided INS for CAV Applications
* Low-Cost Remote Sensing Experinments within an Educational Environment
* Low-Cost Robot Camera Head, A
* Low-cost sensor to detect overtaking based on optical flow
* Low-Cost Single-Frequency DGNSS/DBA Combined Positioning Research and Performance Evaluation
* Low-Cost Smartphone Sensor-Based UV Camera for Volcanic SO2 Emission Measurements, A
* Low-cost solid-state LiDAR/inertial-based localization with prior map for autonomous systems in urban scenarios
* Low-Cost Solution for an Integrated Multisensor Lane Departure Warning System, A
* Low-cost solution to on-line color filter array demosaicking
* low-cost strong shadow-based segmentation approach for vehicle tracking in congested traffic scenes, A
* Low-cost surveys of the Domus of Stallius Eros in Pompeii
* Low-Cost System for Automatic Recognition of Driving Pattern in Assessing Interurban Mobility using Geo-Information
* Low-Cost System to Detect Bunches of Grapes in Natural Environment from Color Images, A
* Low-Cost System Using Sparse Vision for Navigation In the Urban-Environment, A
* Low-cost Technological Implementations Related to Integrated Application Experiments
* Low-cost Terrestrial Photogrammetry as a Tool for a Sample-Based Assessment of Soil Roughness
* Low-cost triboelectric sensor for speed measurement and weight estimation of vehicles
* Low-cost UAS Photogrammetry for Road Infrastructures' Inspection
* low-cost UAV framework towards ornamental plant detection and counting in the wild, A
* Low-Cost Unmanned Aerial Multispectral Imagery for Siltation Monitoring in Reservoirs
* low-cost vehicle counter for next-generation ITS, A
* Low-cost Video Frame-rate Up Conversion using Compressed-domain Information, A
* low-cost visual sensor network for elderly care, A
* Low-cost visual tracking with an intelligent wheelchair for innovative assistive care
* Low-cost Wheeled Robot-borne Laser Scanning System for Indoor And Outdoor 3d Mapping Application
* low-cost, accurate strain measurement using multi-view amplification mechanism and visual polydimethylsiloxane lens, A
* Low-Cost, Easy-Way Workflow for Multi-Scale Archaeological Features Detection Combining LiDAR and Aerial Orthophotography, A
* Low-cost, hand-held stereoscopic device for measuring dynamic deformations of skin in vivo, A
* Low-cost, high-speed computer vision using NVIDIA's CUDA architecture
* Low-Cost, Linux-Based Virtual Environment for Visualizing Vascular Structures, A
* Low-Cost, Tiled Embedded Smart Camera System for Computer Vision Applications, A
* Low-cost, Ultra-high Spatial And Temporal Resolution Mapping Of Intertidal Rock Platforms
* Low-Decoding-Latency Buffer Compression for Graphics Processing Units
* Low-Delay and Energy-Efficient Opportunistic Routing for Maritime Search and Rescue Wireless Sensor Networks
* Low-delay and error-robust wireless video transmission for video communications
* Low-delay and Robust Solution for Rapid Movement Detection Using UWB, A
* Low-Delay HEVC Adaptive Quantization Parameter Selection through Temporal Propagation Length Estimation
* Low-Delay Peer-To-Peer Media Streaming Based on Network Coding Over Randomized Multicast Trees
* Low-Delay Rate Control for Consistent Quality Using Distortion-Based Lagrange Multiplier
* Low-delay rate control for DCT video coding via rho-domain source modeling
* Low-delay video control in a personal area network for augmented reality
* Low-Delay, Low-Complexity Rate Reduction and Continuous Presence for Multipoint Videoconferencing
* Low-dimensional and comprehensive color texture description
* Low-Dimensional Feature Transform for Keypoint Matching and Classification of Point Clouds without Normal Computation, A
* Low-dimensional Illumination Space Representation of Human Faces for Arbitrary Lighting Conditions, A
* low-dimensional local descriptor incorporating TPS warping for image matching, A
* Low-dimensional manifold model for demosaicking from a RGBW color filter array
* Low-Dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data
* Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective
* Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised Training Data
* low-dimensional representation of human faces for arbitrary lighting conditions, A
* Low-dimensional representations of shaded surfaces under varying illumination
* low-dimensional step pattern analysis algorithm with application to multimodal retinal image registration, A
* Low-Dimensional Tensor Principle Component Analysis
* Low-Dimensionality Calibration through Local Anisotropic Scaling for Robust Hand Model Personalization
* Low-dimensionality Information Extraction Model for Semi-Structured Documents
* Low-Dose CBCT Reconstruction Using Hessian Schatten Penalties
* Low-Dose Contrast-Enhanced Breast CT Using Spectral Shaping Filters: An Experimental Study
* Low-Dose CT Denoising Using A Structure-Preserving Kernel Prediction Network
* Low-Dose CT Denoising via Sinogram Inner-Structure Transformer
* Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss
* Low-Dose CT Image Restoration Based on Adaptive Prior Feature Matching and Nonlocal Means
* Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning
* Low-Dose CT Reconstruction with Multiclass Orthogonal Dictionaries
* Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network
* Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization
* Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose Training Database
* Low-Dose X-ray CT Reconstruction via Dictionary Learning
* Low-dose, large-angled cone-beam helical CT data reconstruction using algebraic reconstruction techniques
* Low-Drift Fixed-Point 8X8 IDCT Approximationwith 8-Bit Transform Factors
* Low-Elevation Target DOA Estimation Based on Multi-Scattering Center Equivalent Model
* Low-energy motion estimation architecture using quadrant-based multi-octagon (QBMO) algorithm
* low-energy video event data recorder using dual image/video codec, A
* Low-Frequency Conductivity Tensor Imaging of the Human Head In Vivo Using DT-MREIT: First Study
* Low-Frequency Desert Noise Intelligent Suppression in Seismic Data Based on Multiscale Geometric Analysis Convolutional Neural Network
* Low-Frequency Electromagnetic Imaging Using Sensitivity Functions and Beamforming
* Low-Frequency Image Noise Removal Using White Noise Filter
* Low-Frequency Magnetic Subsurface Imaging: Reconstructing Conductivity Images of Biological Tissues via Magnetic Measurements
* Low-Frequency Mean Square Slopes and Dominant Wave Spectral Properties: Toward Tropical Cyclone Remote Sensing
* Low-Frequency Near-Field Interferometry for Characterization of Lossy Dielectric and an Investigation on Sea Ice
* Low-Frequency SAR Radiometric Calibration and Antenna Pattern Estimation by Using Stable Point Targets
* Low-Frequency Sea Surface Radar Doppler Echo
* Low-Frequency Trajectory Map Matching Method Based on Vehicle Heading Segmentation
* Low-Grade Road Extraction Method Using SDG-DenseNet Based on the Fusion of Optical and SAR Images at Decision Level, A
* Low-Grazing-Angle Scattering From 3-D Breaking Water Wave Crests
* Low-Hardware-Cost Motion Estimation with Large Search Range for VLSI Multimedia Processors
* Low-Illumination Image Enhancement Algorithm Based on a Physical Lighting Model
* Low-Illumination Image Enhancement Using Local Gradient Relative Deviation for Retinex Models
* Low-Latency 4K HEVC Multi-Channel Encoding System with Content-Aware Bitrate Control for Live Streaming, A
* Low-Latency Collaborative HARQ Scheme for Control/User-Plane Decoupled Railway Wireless Networks, A
* Low-Latency Communication Scheme for Mobile Wireless Sensor Control Systems, A
* low-latency DMM-1 encoder for 3D-HEVC, A
* Low-latency hand gesture recognition with a low resolution thermal imager
* Low-latency histogram equalization for infrared image sequences: A hardware implementation
* Low-Latency Infrastructure-Based Cellular V2V Communications for Multi-Operator Environments With Regional Split
* Low-Latency Layer-2-Based Multicast Scheme for Localized V2X Communications
* Low-latency median filter core for hardware implementation of 5X5 median filtering
* Low-latency monocular depth estimation using event timing on neuromorphic hardware
* Low-Latency Network-Adaptive Error Control for Interactive Streaming
* low-latency peer-to-peer live and VOD streaming system based on scalable video coding, A
* Low-Latency Video Semantic Segmentation
* Low-Latency Video Streaming With Congestion Control in Mobile Ad-Hoc Networks
* Low-latency video transmission over lossy packet networks using rate-distortion optimized reference picture selection
* Low-Latitude Plasma Irregularities after Sunrise from Multiple Observations in Both Hemispheres during the Recovery Phase of a Storm, The
* Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems, A
* Low-Level Characterization of Expressive Head Motion Through Frequency Domain Analysis
* Low-level computational mono and stereo vision: A Bayesian approach
* Low-level Cortical Perception Model with Applications to Image Analysis, A
* Low-Level Feature Aggregation Networks for Disease Severity Estimation of Coffee Leaves
* Low-Level Feature Extraction for Edge Detection Using Genetic Programming
* Low-level features for visual attribute recognition: An evaluation
* Low-Level Grouping of Straight Line Segments
* Low-Level Hierarchical Multiscale Segmentation Statistics of Natural Images
* Low-Level Image Segmentation Based Scene Classification
* Low-level multiscale image segmentation and a benchmark for its evaluation
* Low-level musical descriptors for MPEG-7
* Low-Level Processing of Registered Intensity and Range Data
* Low-Level Processing Techniques In Geophysical Image Interpretation
* Low-level Segmentation of Aerial Images Using Fuzzy Clustering
* Low-Level Segmentation of Multispectral Images via Agglomerative Clustering of Uniform Neighbourhoods
* Low-level Sensor Fusion for 3d Vehicle Detection Using Radar Range-azimuth Heatmap and Monocular Image
* Low-Level Spatiochromatic Grouping for Saliency Estimation
* Low-level Symbolic Representation of Intensity Changes in an Image, The
* Low-Level Tie Feature Extraction of Mobile Mapping Data (MLS/Images) and Aerial Imagery
* Low-level vision by consensus in a spatial hierarchy of regions
* Low-level vision using an array processor
* Low-Light Color Image Super-Resolution Using RGB/NIR Sensor
* Low-light Color Imaging via Dual Camera Acquisition
* Low-Light Enhancement Method Based on a Retinex Model for Structure Preservation
* Low-Light Enhancement Using a Plug-and-Play Retinex Model With Shrinkage Mapping for Illumination Estimation
* Low-Light Face Image Enhancement Based on Dynamic Face Part Selection
* Low-Light Homomorphic Filtering Network for integrating image enhancement and classification
* Low-Light Image and Video Enhancement Using Deep Learning: A Survey
* Low-light Image Enhancement Algorithm Based on Optimized Multi-illumination Fusion, A
* Low-light image enhancement based on exponential Retinex variational model
* Low-light image enhancement based on Retinex decomposition and adaptive gamma correction
* Low-light Image Enhancement Based on U-net and Haar Wavelet Pooling
* Low-light image enhancement based on virtual exposure
* Low-Light Image Enhancement by Deep Learning Network for Improved Illumination Map
* Low-light image enhancement by diffusion pyramid with residuals
* Low-Light Image Enhancement for Infrared and Visible Image Fusion
* low-light image enhancement method based on bright channel prior and maximum colour channel, A
* Low-Light Image Enhancement Method by Using a Modified Gamma Transform for Convex Combination Coefficients
* low-light image enhancement method for both denoising and contrast enlarging, A
* Low-light Image Enhancement Under Non-uniform Dark
* Low-light Image Enhancement Using Chain-Consistent Adversarial Networks
* Low-light image enhancement using CNN and bright channel prior
* Low-light image enhancement using gamma correction prior in mixed color spaces
* Low-light image enhancement using Gaussian Process for features retrieval
* Low-Light Image Enhancement Using Image-to-Frequency Filter Learning
* Low-Light Image Enhancement Using the Cell Vibration Model
* Low-Light Image Enhancement via a Deep Hybrid Network
* Low-light Image Enhancement via Breaking Down the Darkness
* Low-light image enhancement via deep Retinex decomposition and bilateral learning
* Low-Light Image Enhancement via Poisson Noise Aware Retinex Model
* Low-Light Image Enhancement via Progressive-Recursive Network
* Low-Light Image Enhancement via Self-Reinforced Retinex Projection Model
* Low-light image enhancement via span correction function and discrete mapping model
* Low-Light Image Enhancement via Stage-Transformer-Guided Network
* Low-Light Image Enhancement via Structure Modeling and Guidance
* Low-Light Image Enhancement via the Absorption Light Scattering Model
* Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network
* Low-Light Image Enhancement with Multi-stage Residue Quantization and Brightness-aware Attention
* Low-Light Image Enhancement With Semi-Decoupled Decomposition
* Low-light image enhancement with strong light weakening and bright halo suppressing
* Low-light image haze removal with light segmentation and nonlinear image depth estimation
* Low-Light Image Restoration With Short- and Long-Exposure Raw Pairs
* Low-light images enhancement and denoising network based on unsupervised learning multi-stream feature modeling
* Low-light imaging method provides highly accurate molecule localization
* Low-light imaging method with visible-band and wide-band image pair
* Low-light pedestrian detection from RGB images using multi-modal knowledge distillation
* Low-Light Stereo Image Enhancement
* Low-Lightgan: Low-Light Enhancement Via Advanced Generative Adversarial Network With Task-Driven Training
* Low-Noise Fluttering Shutter Camera Handling Accelerated Motion, A
* Low-Overhead Distributed Jamming for SIMO Secrecy Transmission with Statistical CSI
* Low-PAPR Waveforms with Shaped Spectrum for Enhanced Low Probability of Intercept Noise Radars
* Low-Pass Filtering of Rate-Distortion Functions for Quality Smoothing in Real-Time Video Communication
* Low-poly style image and video processing
* low-power 490 mpixels/s hardware accelerator for pyramidal decomposition of images, A
* Low-power analog smart camera sensor for edge detection
* Low-Power and Bandwidth-Efficient Motion Estimation IP Core Design Using Binary Search, A
* Low-power and efficient ambient assistive care system for elders
* Low-Power Buffer Management for Streaming Data
* Low-Power Channel-Adaptive Reconfigurable 4X4 QRM-MLD MIMO Detector
* Low-power context-based adaptive binary arithmetic encoder using an embedded cache
* Low-power data-dependent 8x8 DCT/IDCT for video compression
* Low-Power Data Transfer and Storage Exploration for H.263 Video Decoder System
* Low-power DCT-based compressor for wireless capsule endoscopy
* Low-Power Digital Pixel Driving Scheme for Single-Pulse-PWM-Based Display Using AND-Embedded Pixel Circuits, A
* Low-power DSP system for real-time correction of fish-eye cameras in automotive driver assistance applications
* Low-Power Fractional-Order Synchronizer for Syncless Time-Sequential Synchronization of 3-D TV Active Shutter Glasses, A
* Low-Power H.264 Deblocking Filter Algorithm and Its SoC Implementation
* Low-Power H.264 Video Compression Architectures for Mobile Communication
* Low-Power Integrated Smart Sensor with on-Chip Real-Time Image Processing Capabilities, A
* Low-Power LoRa Signal-Based Outdoor Positioning Using Fingerprint Algorithm
* Low-Power Motion Estimation Architecture for HEVC Based on a New Sum of Absolute Difference Computation, A
* Low-power motion vector estimation using iterative search block-matching methods and a high-speed non-destructive CMOS image sensor
* Low-Power Neural Networks for Semantic Segmentation of Satellite Images
* Low-Power Neuromorphic System for Real-Time Visual Activity Recognition, A
* Low-Power Security Modules Optimized for WSNs
* low-power structured light sensor for outdoor scene reconstruction and dominant material identification, A
* low-power system-on-chip for the documentation of road accidents, A
* Low-Power Video-Rate Pyramid VQ Decoder, A
* Low-Power Video Encoder/Decoder Chip Set for Digital VCRs
* Low-Power Video Recording System With Multiple Operation Modes for H.264 and Light-Weight Compression, A
* Low-Power VLSI Architecture for Full-Search Block-Matching Motion Estimation, A
* low-power wireless video sensor node for distributed object detection, A
* Low-quality facial biometric verification via dictionary-based random pooling
* Low-quality fingerprint classification using deep neural network
* Low-quality fingerprint recognition using a limited ellipse-band-based matching method
* Low-quality image binarization method based on threshold array system
* Low-Quality Video Face Recognition with Deep Networks and Polygonal Chain Distance
* Low-Rank-Based Nonlocal Adaptive Loop Filter for High-Efficiency Video Compression
* Low-Rank-Sparse Subspace Representation for Robust Regression
* Low-Rank 2-D Neighborhood Preserving Projection for Enhanced Robust Image Representation
* Low-rank 2D local discriminant graph embedding for robust image feature extraction
* Low-rank adaptive graph embedding for unsupervised feature extraction
* Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging
* Low-Rank and Joint Sparse Representations for Multi-Modal Recognition
* Low-Rank and Sparse Decomposition Based Frame Difference Method for Small Infrared Target Detection in Coastal Surveillance
* Low-Rank and Sparse Decomposition on Contrast Map for Small Infrared Target Detection
* Low-Rank and Sparse Decomposition With Mixture of Gaussian for Hyperspectral Anomaly Detection
* Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection, A
* Low-rank and sparse matrix decomposition based on S1/2 and L1/2 regularizations in dynamic MRI
* Low-rank and sparse matrix decomposition via the truncated nuclear norm and a sparse regularizer
* Low-Rank and Sparse Matrix Decomposition with Cluster Weighting for Hyperspectral Anomaly Detection
* Low-Rank and Sparse Tensor Representation for Multi-View Subspace Clustering
* Low-Rank and Sparsity Analysis Applied to Speech Enhancement Via Online Estimated Dictionary
* Low-rank and structured sparse subspace clustering
* Low-Rank Approach to Off-the-Grid Sparse Superresolution, A
* Low-Rank Approximation-Based Transductive Support Tensor Machine for Semisupervised Classification, A
* Low-rank approximation based LineCast for video broadcasting
* Low-Rank Approximation for Fast Image Acquisition
* Low-Rank Approximation via Generalized Reweighted Iterative Nuclear and Frobenius Norms
* Low-Rank Atlas Image Analyses in the Presence of Pathologies
* Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation
* Low-rank based compact representation of motion capture data
* Low-Rank Bilinear Classification: Efficient Convex Optimization and Extensions
* Low-Rank Bilinear Pooling for Fine-Grained Classification
* Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer
* Low-Rank Constrained Attention-Enhanced Multiple Spatial-Spectral Feature Fusion for Small Sample Hyperspectral Image Classification
* Low-Rank Constrained Super-Resolution for Mixed-Resolution Multiview Video
* Low-Rank Constraint for Parallel Stereo Cameras, A
* Low-rank constraint with sparse representation for image restoration under multiplicative noise
* Low-Rank Correlation Learning for Unsupervised Domain Adaptation
* Low-Rank Decomposition-Based Restoration of Compressed Images via Adaptive Noise Estimation
* Low-Rank Decomposition and Total Variation Regularization of Hyperspectral Video Sequences
* Low-Rank Discriminant Embedding for Multiview Learning
* Low-rank double dictionary learning from corrupted data for robust image classification
* Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning
* Low-rank embedded orthogonal subspace learning for zero-shot classification
* Low-Rank Embedding for Robust Image Feature Extraction
* Low-rank embedding for semisupervised face classification
* Low-rank Fourier interpolation for compressed sensing imaging
* Low-Rank Group-Sparse Model for Eliminating Mixed Errors in Data for SRTM1, A
* Low-Rank Hankel Tensor Completion for Traffic Speed Estimation
* Low-Rank High-Order Tensor Completion With Applications in Visual Data
* Low-Rank Hypergraph Hashing for Large-Scale Remote Sensing Image Retrieval
* Low-rank image completion with entropy features
* Low-rank inter-class sparsity based semi-flexible target least squares regression for feature representation
* Low-rank kernel regression with preserved locality for multi-class analysis
* Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition
* Low-Rank Latent Pattern Approximation With Applications to Robust Image Classification
* Low-rank learning for feature selection in multi-label classification
* Low-Rank Linear Embedding for Image Recognition
* Low-Rank Matrix Approximation with Manifold Regularization
* Low-rank matrix approximations for Coherent point drift
* Low-rank matrix completion against missing rows and columns with separable 2-D sparsity priors
* Low-Rank Matrix Completion Based on Maximum Likelihood Estimation
* Low-Rank Matrix Completion Theory via Plücker Coordinates
* Low-rank matrix decomposition in L1-norm by dynamic systems
* Low-Rank Matrix Factorization under General Mixture Noise Distributions
* Low-Rank Matrix Factorization With Adaptive Graph Regularizer
* Low-rank matrix factorization with multiple Hypergraph regularizer
* Low-Rank Matrix Fitting Based on Subspace Perturbation Analysis with Applications to Structure from Motion
* Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization With Convergence Guarantees
* Low-Rank Matrix Recovery Via Robust Outlier Estimation
* Low-rank matrix recovery with structural incoherence for robust face recognition
* Low-Rank Model for Compressive Spectral Image Classification, A
* Low-Rank Modeling and Its Applications in Image Analysis
* Low-Rank Modeling of Local k -Space Neighborhoods (LORAKS) for Constrained MRI
* Low-Rank Neighbor Embedding for Single Image Super-Resolution
* Low-rank nonnegative sparse representation and local preservation-based matrix regression for supervised image feature selection
* Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification
* Low-rank path-following algorithm for 3D similarity registration
* Low-Rank Plus Sparse Tensor Models for Light-field Reconstruction from Focal Stack Data
* Low-rank preserving embedding regression for robust image feature extraction
* Low-rank preserving embedding
* Low-Rank Preserving t-Linear Projection for Robust Image Feature Extraction
* Low-Rank Prior in Single Patches for Nonpointwise Impulse Noise Removal
* Low-Rank Quaternion Approximation for Color Image Processing
* Low-rank quaternion tensor completion for recovering color videos and images
* Low-rank Registration of Images Captured Under Unknown, Varying Lighting
* Low-rank regularized collaborative filtering for image denoising
* Low-Rank Regularized Deep Collaborative Matrix Factorization for Micro-Video Multi-Label Classification
* Low-Rank Regularized Heterogeneous Tensor Decomposition for Subspace Clustering
* Low-Rank Regularized Joint Sparsity for Image Denoising
* Low-Rank Regularized Multi-Representation Learning for Fashion Compatibility Prediction
* Low-rank regularized multi-view inverse-covariance estimation for visual sentiment distribution prediction
* Low-Rank Representation with Graph Constraints for Robust Visual Tracking
* Low-Rank Riemannian Optimization for Graph-Based Clustering Applications
* Low-rank SIFT: An affine invariant feature for place recognition
* Low-rank sparse coding and region of interest pooling for dynamic 3D facial expression recognition
* Low-Rank Sparse Coding for Image Classification
* Low-Rank Sparse Learning for Robust Visual Tracking
* Low-Rank Sparse Preserving Projections for Dimensionality Reduction
* Low-rank sparse representation for single image super-resolution via self-similarity learning
* Low-Rank Spatio-Temporal Video Segmentation
* Low-Rank Structured Covariance Matrix Estimation
* Low-rank structured sparse representation and reduced dictionary learning-based abnormity detection
* Low-Rank Subspace Representation for Estimating the Number of Signal Subspaces in Hyperspectral Imagery
* Low-Rank Subspace Representation from Optimal Coded-Aperture for Unsupervised Classification of Hypersepctral Imagery
* Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising
* Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems
* Low-Rank Tensor Bayesian Filter Framework For Multi-Modal Analysis, A
* Low-Rank Tensor Completion by Approximating the Tensor Average Rank
* Low-Rank Tensor Completion by Truncated Nuclear Norm Regularization
* Low-rank tensor completion for visual data recovery via the tensor train rank-1 decomposition
* Low-Rank Tensor Completion Method for Implicitly Low-Rank Visual Data
* Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms
* Low-Rank Tensor Completion: A Pseudo-Bayesian Learning Approach
* Low-Rank Tensor Constrained Multiview Subspace Clustering
* Low-rank tensor decomposition based anomaly detection for hyperspectral imagery
* Low-Rank Tensor Decomposition Model With Factors Prior and Total Variation for Impulsive Noise Removal, A
* Low-Rank Tensor Graph Learning for Multi-View Subspace Clustering
* Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability
* Low-Rank Tensor Recovery and Alignment Based on Lp Minimization
* Low-rank tensor recovery via non-convex regularization, structured factorization and spatio-temporal characteristics
* Low-Rank Tensor Regression for X-Ray Tomography
* Low-rank tensor ring learning for multi-linear regression
* Low-Rank Tensor Subspace Learning for RGB-D Action Recognition
* Low-Rank Tensor Tracking
* Low-Rank Transfer Human Motion Segmentation
* Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint
* Low-rank, sparse matrix decomposition and group sparse coding for image classification
* Low-Rankness Transfer for Realistic Denoising
* Low-Rate and Flexible Image Coding With Redundant Representations
* Low-Rate Feature Compression for Collaborative Intelligence: Reducing Redundancy in Spatial and Statistical Levels
* Low-rate Image Compression with Super-resolution Learning
* Low-Rate Reduced Complexity Image Compression using Directionlets
* Low-rate sequence image coding via vector quantization
* Low-Resolution Character Recognition by Video-Based Super-Resolution
* Low-resolution color-based visual tracking with state-space model identification
* Low-resolution Convolutional Neural Networks for video face recognition
* Low-resolution face alignment and recognition using mixed-resolution classifiers
* Low-resolution face recognition and feature selection based on multidimensional scaling joint L 2,1-norm regularisation
* Low-resolution face recognition and the importance of proper alignment
* Low-Resolution Face Recognition Based on Identity-Preserved Face Hallucination
* Low-Resolution Face Recognition Enhanced by High-Resolution Facial Images
* Low-resolution face recognition in resource-constrained environments
* Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation
* Low-resolution face recognition in uses of multiple-size discrete cosine transforms and selective Gaussian mixture models
* Low-Resolution Face Recognition via Coupled Locality Preserving Mappings
* Low-Resolution Face Recognition
* Low-resolution face recognition: a review
* Low-Resolution Face Tracker Robust to Illumination Variations
* Low-Resolution Gait Recognition
* Low-resolution human pose estimation
* Low-Resolution Overhead Thermal Tripwire for Occupancy Estimation
* Low-resolution person recognition using image downsampling
* Low-Resolution Thermal Sensor-Guided Image Synthesis
* Low-Resolution TV: Subjective Comparison of Interlaced and Noninterlaced Pictures
* Low-Resolution TV: Subjective Effects of Frame Repetition and Picture Replenishment
* Low-Resolution, Degraded Document Recognition Using Neural Networks and Hidden Markov Models
* Low-Resource Adaptation for Personalized Co-Speech Gesture Generation
* Low-resource automatic cartoon image creation from limited samples
* Low-Sampling-Frequency Plane wave Medical Ultrasound Imaging based on Adversarial Learning
* Low-Shot Face Recognition with Hybrid Classifiers
* Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery
* Low-Shot Learning From Imaginary 3D Model
* Low-Shot Learning from Imaginary Data
* Low-Shot Learning of Plankton Categories
* Low-Shot Learning with Imprinted Weights
* Low-Shot Learning with Large-Scale Diffusion
* Low-Shot Object Counting Network With Iterative Prototype Adaptation, A
* Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories
* Low-Shot Visual Recognition by Shrinking and Hallucinating Features
* Low-SNR Doppler Data Processing for the InSight Radio Science Experiment
* Low-Spec Extendable GPU-Based Audio Library, A
* Low-Tech and Low-Cost System for High-Resolution Underwater RTK Photogrammetry in Coastal Shallow Waters
* Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior Subspace Information
* Low-Tubal-Rank tensor recovery with multilayer subspace prior learning
* Low-Velocity Small Target Detection With Doppler-Guided Retrospective Filter in High-Resolution Radar at Fast Scan Mode
* Low-Visibility Vehicle-Road Environment Perception Based on the Multi-Modal Visual Features Fusion of Polarization and Infrared
* Low-weight and UAV-based Hyperspectral Full-frame Cameras for Monitoring Crops: Spectral Comparison with Portable Spectroradiometer Measurements
* Low Acceptance Rates of Conference Papers Considered Harmful
* Low Altitude Wind Simulation over Mount Saint Helens Using NASA SRTM Digital Terrain Model
* Low and high spatial resolution time series fusion for improved land cover map production
* Low and intermediate level image processing on SYMPATIX, a SIMD parallel computer
* Low Area-time Complexity Averaging Scheme for Thumbnail Generation
* Low Backscattering Targets Classification In Urban Areas, The
* Low Bandwidth Video-Chat Compression using Deep Generative Models
* Low bias histogram-based estimation of mutual information for feature selection
* Low Bias Local Intrinsic Dimension Estimation from Expected Simplex Skewness
* Low bit-rate cloud-based image coding in the wavelet transform domain
* Low Bit-Rate Coding of Image Sequences Using Adaptive Regions of Interest
* Low Bit-Rate Compression Image Restoration through Subspace Joint Regression Learning
* Low Bit-Rate Compression of Facial Images
* Low bit-rate compression of underwater image based on human visual system
* Low bit-rate compression of underwater imagery based on adaptive hybrid wavelets and directional filter banks
* Low Bit-Rate Design Considerations for Wavelet-Based Image-Coding
* Low bit-rate efficient compression for seismic data
* Low Bit-Rate Hybrid Coding Scheme For Progressive Image Transmission, A
* Low Bit-Rate Image Coding Using Adaptive Geometric Piecewise Polynomial Approximation
* Low Bit-rate Image Compression Schemes Based On Vector Quantization
* Low Bit-Rate Image Compression via Adaptive Down-Sampling and Constrained Least Squares Upconversion
* Low bit-rate multimedia communication
* Low Bit-Rate Object-based Multi-view Video Coding using MVC
* Low Bit-Rate Scalable Video Coding with 3-D Set Partitioning in Hierarchical Trees (3-D SPIHT)
* Low Bit-Rate Subband DCT Image Compression
* Low Bit-rate Subband Video Coding Using Context Models
* Low Bit-Rate Video Codec Based on Two-Dimensional Mesh Motion Compensation with Adaptive Interpolation, A
* Low Bit-Rate Video Coding Using Wavelet-Based Fractal Approximation
* Low bit-rate video coding via mode-dependent adaptive regression for wireless visual communications
* Low Bit-Rate Video Coding with Implicit Multiscale Segmentation
* Low Bit-Rate Video Coding with Spatiotemporal Geometric Transforms
* Low bit depth representation motion estimation algorithms: a comparative study
* Low Bit Neural Networks with Channel Sparsity and Sharing
* Low Bit Rate-3-D Subband Video Coding Based on the Allocation of Just Noticeable Distortion
* Low bit rate audio-visual communication having improved face and lip region detection
* low bit rate coding algorithm for full motion video signal, A
* Low bit rate colour fractal video
* Low Bit Rate Compression for SAR Image Based on Blocks Reordering and 3D Wavelet Transform
* Low Bit Rate Compression of Facial Images Based on Adaptive Over-Complete Sparse Representation
* Low Bit Rate Hybrid Wavelet-DCT Video Codec, A
* Low Bit Rate Image Coding over Bases
* Low Bit Rate Image Coding with Shift Orthogonal Filter Banks
* Low Bit Rate Image Compression Core for Onboard Space Applications
* Low Bit Rate Image Compression Using Hierarchical Listless Block-Tree DTT Algorithm
* Low bit rate model-assisted H.261-compatible coding of video
* Low bit rate ROI based video coding for HDTV aerial surveillance video sequences
* Low bit rate video coding based on generalized prediction of the pyramid subband decomposition
* Low Bit Rate Video Coding Using DCT-Based Fast Decimation/Interpolation and Embedded Zerotree Coding
* Low bit rate video coding using robust motion vector regeneration in the decoder
* Low bit rate video quality assessment based on perceptual characteristics
* Low bit rate videophone codec for ISDN applications
* Low bit rate, error resilient image communication using nonlinear pre and post-processing and progressive image transmission
* Low bitrate image compression using self-organized kohonen maps
* Low Bitrate Image Compression with Discretized Gaussian Mixture Likelihoods
* Low Bitrate Light Field Compression With Geometry and Content Consistency
* Low Budget Mobile Laser Scanning Solution Using on Board Sensors and Field Bus Systems of Today's Consumer Automobiles, A
* Low calculation cost of HEVC coding unit size based on spatial homogeneity detection
* Low Complexity Adaptive View Synthesis Optimization in HEVC Based 3D Video Coding
* Low Complexity Algorithm for Detecting Rotational Symmetry Based on the Hough Transform Technique, A
* Low Complexity Algorithm for Global Motion Parameter Estimation Targeting Hardware Implementation, A
* Low complexity algorithm for inter-layer residual prediction of H.264/SVC
* low complexity approximation of probabilistic appearance models, A
* low complexity architecture for video coding with overlapped block motion compensation, A
* Low Complexity Channel Estimation Algorithm for TDS-OFDM System, A
* Low Complexity Coding Unit Decision for Video-Based Point Cloud Compression
* Low complexity concurrent constant modulus algorithm and soft decision directed scheme for blind equalisation
* Low Complexity Convolutional Neural Network for Vessel Segmentation in Portable Retinal Diagnostic Devices
* Low Complexity Cut Detection in the Presence of Flicker
* Low complexity deblocking filter perceptual optimization for the HEVC codec
* Low complexity deblocking method for DCT coded video signals
* Low complexity depth intra coding combining fast intra mode and fast CU size decision in 3D-HEVC
* Low complexity depth intra coding in 3D-HEVC based on depth classification
* Low Complexity Detection of Discrete Cross Differences for Fast H.264/AVC Intra Prediction, A
* Low complexity distributed video coding
* low complexity dual mode edge detector, A
* Low complexity encoder optimization for HEVC
* Low Complexity Equalization of HCM Systems with DPFFT Demodulation over Doubly-Selective Channels
* Low complexity error concealment scheme for intra-frames in H.264/AVC
* Low Complexity Estimator of Hyperbolic Frequency Modulated Signals, A
* Low Complexity Fast Intra Mode Decision Algorithm for H.264/AVC, A
* Low complexity guaranteed fit compound document compression
* low complexity H.261-compatible software video decoder, A
* Low Complexity Hierarchical Prediction Algorithm for H.264/SVC
* Low complexity high efficiency coding of light fields using ensemble classifiers
* Low complexity image fusion in bayer domain using a monochrome sensor and bayer sensor
* Low complexity image interpolation method based on path selection
* Low complexity image matching using color based SIFT
* Low Complexity Image Quality Assessment Using Frequency Domain Transforms
* Low complexity image registration techniques based on integral projections
* Low Complexity Image/Video Super Resolution Using Edge and Nonlocal Self-Similarity Constraint
* Low complexity implementation of slim: HEVC encoder design
* Low Complexity Inter-Mode Selection for H.264
* Low complexity inter coding scheme for Versatile Video Coding (VVC)
* Low Complexity Interest Point Detector, A
* Low complexity intra prediction mode decision for 3D-HEVC depth coding
* Low Complexity Iterative Algorithm for Joint Zero Diagonalization, A
* Low Complexity JPEG2000 Rate Control Through Reverse Subband Scanning Order and Coding Passes Concatenation
* Low complexity lossless image compression using efficient context modeling
* Low complexity lossless video compression
* Low complexity M-channel multiple description coding with two-rate predictive coding and staggered quantization
* Low Complexity Macroblock Layer Rate Control Scheme Base on Weighted-Window for H.264 Encoder, A
* Low complexity matching criteria for image/video applications
* Low Complexity Mode Decision and Motion Estimation for H.264/AVC Based Depth Maps Encoding in Free Viewpoint Video
* Low Complexity Mode Decision Method for Spatial Scalability Coding, A
* Low complexity motion estimation algorithm by multiresolution search, for long-term memory motion compensation
* Low Complexity Motion Estimation Based on Spatio-Temporal Correlations and Direction of Motion Vectors
* Low Complexity Motion Segmentation Based on Semantic Representation of Encoded Video Streams, A
* Low complexity multi-view distributed video coding based on JPEG
* Low complexity multiple description coding method for networked video
* low complexity multiresolution approach to image compression using pruned nested tree-structured vector quantization, A
* Low Complexity NSAF Algorithm, A
* Low complexity object detection and tracking with inter-layer graph mapping and intra-layer graph refinement in H.264/SVC bitstreams
* Low complexity optical flow using neighbor-guided semi-global matching
* low complexity overcomplete directional image pyramid, A
* Low Complexity Progressive Bitstream Transmission System for Hybrid Channels with Correlated Loss, A
* Low Complexity Resolution Progressive Image Coding Algorithm: Progres (Progressive Resolution Decompression)
* Low complexity shape-adaptive DCT for coding of arbitrarily shaped image segments
* Low Complexity Sign Detection and Text Localization Method for Mobile Applications, A
* Low Complexity Streak Noise Reduction for Mobile TV Using Line Selective Interpolation of Field Information
* Low Complexity System for Multiple Data Embedding Into H.264 Coded Video Bit-Stream, A
* Low complexity transform coding for depth maps in 3D video
* Low Complexity Trellis-Coded Quantization in Versatile Video Coding
* Low complexity truncated Gray-coded bit plane matching based multiple candidate motion estimation
* Low complexity unsupervised multi-camera color calibration with application to panoramic video capturing
* Low complexity video coding based on spatial resolution adaptation
* low complexity video subband coder for ATM, A
* low complexity wavelet-based blind image quality evaluator, A
* Low Complexity Wavelet Transform with Point-symmetric Extension at Tile Boundaries, A
* Low Complexity, Hardware-Efficient Neighbor-Guided SGM Optical Flow for Low-Power Mobile Vision Applications
* Low computation and low latency algorithms for distributed sensor network initialization
* Low Computation Face Verification Using Class Center Analysis
* Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors, A
* Low computational complexity enhanced zerotree coding for wavelet-based image compression
* Low Computational Complexity JPDA Filter With Superposition, A
* Low computational cost improvements of the rate-distortion performance in MPEG-2 rate control
* Low Compute and Fully Parallel Computer Vision with HashMatch
* Low Computing Post Processing to Suppress Annoying Artifacts of Compressed Video Sequences
* Low Contrast Infrared Target Detection Method Based on Residual Thermal Backbone Network and Weighting Loss Function
* Low cost 3D-modelling of a complex archaeological site using aerial photography in the hinterland of Petra, Jordan
* low cost 3D markerless system for the reconstruction of athletic techniques, A
* Low Cost 3D Surveying Methodologies: Colors and Dimensional Accuracy in the Case Study of the Island of Procida, Italy
* Low Cost 3D Tracker for Parallax Barrier Display, A
* Low Cost And Efficient 3d Indoor Mapping Using Multiple Consumer Rgb-d Cameras
* Low Cost and Latency Event Camera Background Activity Denoising
* Low Cost and Usable Multimodal Biometric System Based on Keystroke Dynamics and 2D Face Recognition
* Low Cost Architecture for Structure Measure Distance Computation
* Low Cost Automatized System for Control Points Capture in Close Range Photogrammetry
* Low cost calibration of stereo line scan camera systems
* Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment
* low cost design of rate controlled JPEG-LS near lossless image compression, A
* Low Cost Edge Sensing for High Quality Demosaicking
* Low Cost Force-Feedback Interaction with Haptic Digital Audio Effects
* Low Cost FPGA-Based Highly Accurate Face Recognition System using Combined Wavelets with Subspace Methods
* Low Cost Gaze Estimation: Knowledge-Based Solutions
* Low Cost Incremental Biometric Fusion Strategy for a Handheld Device, A
* Low cost infrared and near infrared sensors for UAVs
* Low cost localization using Nyström extended locally linear embedding
* Low cost methodology for 3D modeling and metric description in architectural heritage
* Low cost multi-view video system for wireless channel
* Low cost obstacle detection for smart railway infrastructures
* Low Cost Pre-Coder Design for MIMO AF Two-Way Relay Channel
* low cost RC-Heli UAV for mapping applications, A
* Low Cost Reverse Engineering Techniques for 3D Modelling of Propellers
* Low Cost Robust Blur Estimator
* Low Cost Rokkaku Kite Setup for Aerial Photogrammetric System, A
* Low Cost Surveying Using an Unmanned Aerial Vehicle
* Low Cost Target Design and Detection for Camera Calibration in Image Based Close Range Inspection Applications
* Low Cost Technique for Accurate Geometric Documentation of Complex Monuments by Non-experts
* Low Cost Techniques for The Digital Survey of a Minoan Architecture In The Archeological Site of Phaistos (crete)
* Low Cost Underwater Test Environment, A
* Low Cost UWB Based Solution for Direct Georeferencing UAV Photogrammetry, A
* Low Cost Video Coding Scheme Using Texture Synthesis, A
* Low Cost Video Compression Using Fast, Modified Z-Coding of Wavelet Pyramids
* Low Cost Virtual Face Performance Capture Using Stereo Web Cameras
* Low Cost Vision Based Personal Mobile Mapping System
* Low Cost VR Meets Low Cost Multi-touch
* Low Cost Web-application for Management of 3d Digital Building And Complex Based on BIM and GIS
* Low Cost, High Performance Automatic Motorcycle Helmet Violation Detection
* Low CP Rank and Tucker Rank Tensor Completion for Estimating Missing Components in Image Data
* Low Curvature Activations Reduce Overfitting in Adversarial Training
* Low Data Requirements Framework for Landslide Susceptibility Prediction Using 3d Alos Palsar Images and Neural Networks
* Low delay distributed video coding with refined side information
* Low Delay Foveated Visual Communications over Wireless Channels
* Low delay H.264/AVC bidirectional inter prediction on a GPU
* Low delay streaming of computer graphics
* Low delay Wyner-Ziv coding using optical flow
* Low Density Feature Point Matching for Articulated Pose Identification
* Low Dimensional Adaptive Texture Feature Vectors From Class Distance and Class Difference Matrices
* Low Dimensional Explicit Feature Maps
* Low Dimensional Fluid Motion Estimator, A
* Low Dimensional Manifold Model for Image Processing
* Low Dimensional Procedure for the Characterization of Human Faces
* Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification
* Low Dimensional State Representation Learning with Reward-shaped Priors
* Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces
* Low Dimensional Visual Attributes: An Interpretable Image Encoding
* Low Dimensionality Expression Robust Rejector for 3D Face Recognition, A
* Low discrepancy holographic image sampling
* Low Distortion Transform for Reversible Watermarking
* Low Dose Abdominal CT Image Reconstruction: An Unsupervised Learning Based Approach
* Low dose CT image reconstruction with learned sparsifying transform
* Low Dose CT Perfusion With K-Space Weighted Image Average (KWIA)
* low energy adaptive motion estimation hardware for H.264 multiview video coding, A
* low energy HEVC sub-pixel interpolation hardware, A
* low energy intra prediction hardware for high efficiency video coding, A
* Low entropy image pyramids for efficient lossless coding
* Low False Negative Filter for Detecting Rare Bird Species From Short Video Segments Using a Probable Observation Data Set-Based EKF Method, A
* Low false positive learning with support vector machines
* Low Frequency Error Analysis And Calibration For High-resolution Optical Satellite's Uncontrolled Geometric Positioning
* Low Frequency Response and Random Feature Selection Applied to Face Recognition
* Low Illumination Image Enhancement Algorithm Based on HSV-RNET
* Low Latency 2D Position Estimation with a Line Scan Camera for Visual Servoing
* Low Latency Acoustic Modeling Using Temporal Convolution and LSTMs
* Low latency and high throughput dedicated loop of transforms and quantization focusing in the H.264/AVC Intra Prediction
* Low latency DASH based streaming over LTE
* low latency implementation of a non-uniform partitioned convolution algorithm for room acoustic simulation, A
* Low Latency Scalable Point Cloud Communication
* Low Latency Secondary Transforms for Intra/Inter Prediction Residual
* Low Level Feature Based Neural Network Segmenter for Fully Cursive Handwritten Words, A
* Low Level Image Analysis on an MIMD Architecture
* Low level image partitioning guided by the gradient watershed hierarchy
* Low level image processing operators on FPGA: Implementation examples and performance evaluation
* Low Level Image Segmentation: An Expert System
* Low Level Information Fusion: Multisensor Scene Segmentation Using Learning Automata
* Low Level Motion Events: Trajectory Discontinuities
* Low Level Motion, General Issues
* Low Level Moving-Feature Extraction Via Heat Flow Analogy
* Low Level Recognition of Human Motion
* Low Level Segmentation Using CMOS Smart Hexagonal Image Sensor
* Low Level Tracking of Multiple Objects
* Low Level Vision as the Opportunist Scheduling of Incremental Edge and Region Detection Processes
* Low level vision via switchable Markov random fields
* Low levels of specularity support operational color constancy, particularly when surface and illumination geometry can be inferred
* Low Light Enhancement
* Low Light Image Denoising Based on Poisson Noise Model and Weighted TV Regularization
* Low light image enhancement based on non-uniform illumination prior model
* Low Light Image Enhancement by Multispectral Fusion and Convolutional Neural Networks
* Low Light Image Enhancement by Multispectral Fusion of RGB and NIR Images
* Low Light Image Enhancement Using Grover's Algorithm on Superposed Luminance Levels
* Low Light Image Enhancement via Sparse Representations
* Low light image enhancement with adaptive sigmoid transfer function
* Low light image enhancement with dual-tree complex wavelet transform
* low light natural image statistical model for joint contrast enhancement and denoising, A
* Low Light RGB and IR Image Fusion with Selective CNN-Transformer Network
* Low Light Video Enhancement Using Synthetic Data Produced with an Intermediate Domain Mapping
* Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps, A
* Low Memory Image Reconstruction Algorithm from RAW Images
* Low memory implementation of generic hierarchical transforms for parent-children tree (PCT) production and its application in image compression
* Low Memory Implementation of Saliency Map Using Strip-Based Method
* low memory zerotree coding for arbitrarily shaped objects, A
* Low Observable Radar Target Detection Method within Sea Clutter Based on Correlation Estimation
* Low Observable Target Motion Analysis Using Amplitude Information
* Low order dynamics embedding for high dimensional time series
* Low overhead spatiotemporal video compression over smartphone based Delay Tolerant Network
* Low Overlapping Point Cloud Registration Using Line Features Detection
* Low Patch-Rank Interpretation of Texture, A
* Low PMEPR OFDM Radar Waveform Design Using the Iterative Least Squares Algorithm
* Low Power 24 GHz ad hoc Networking System Based on TDOA for Indoor Localization
* low power 6-bit current-steering DAC in 0.18-micro-m CMOS process, A
* Low Power Adaptive Time-of-Flight Imaging for Multiple Rigid Objects
* Low Power and Low Complexity Compressor for Video Capsule Endoscopy
* Low Power Computer Vision
* Low power DCT using highly scalable multipliers
* Low Power Depth and Velocity from a Passive Moving Sensor
* Low power depth estimation for time-of-flight imaging
* Low Power Depth Estimation of Rigid Objects for Time-of-Flight Imaging
* Low power design methodology for signal processing systems using lightweight dataflow techniques
* Low Power Greenhouse Gas Sensors for Unmanned Aerial-Vehicles
* Low Power H.264 Deblocking Filter Hardware Implementations
* Low power HEVC software decoder for mobile devices
* Low Power Lookup Tables for Huffman Decoding
* Low Power Motion Estimation Based on Probabilistic Computing
* Low power parallel surveillance video encoding system based on joint power-speed scheduling
* Low Power, Fully Event-Based Gesture Recognition System, A
* Low Power, High Throughput, Fully Event-Based Stereo System, A
* Low Precision Global Motion Estimation for Video Compression: A Generalized Framework
* Low profile co-radiator transmit-receive antenna for Ku-band
* Low Quality and Recognition of Image Content
* Low quality document image modeling and enhancement
* Low Quality String Recognition For Factory Automation
* Low Quality Video Face Recognition: Multi-Mode Aggregation Recurrent Network (MARN)
* Low rank and collaborative representation for hyperspectral anomaly detection via robust dictionary construction
* Low Rank and Sparse Decomposition for Image and Video Applications
* Low Rank and Sparse Decomposition of Ultrasound Color Flow Images for Suppressing Clutter in Real-Time
* Low rank and sparse matrix reconstruction with partial support knowledge for surveillance video processing
* Low Rank Component Induced Spatial-Spectral Kernel Method for Hyperspectral Image Classification
* Low Rank Dynamic Mode Decomposition Model for Short-Term Traffic Flow Prediction, A
* Low Rank Global Geometric Consistency for Partial-Duplicate Image Search
* Low rank group sparse representation based classifier for pose variation
* Low Rank Language Models for Small Training Sets
* Low rank matrix completion using truncated nuclear norm and sparse regularizer
* Low rank matrix recovery via augmented lagrange multiplier with nonconvex minimization
* Low Rank Multi-Label Classification with Missing Labels
* Low Rank Priors for Color Image Regularization
* Low Rank Promoting Prior for Unsupervised Contrastive Learning, A
* Low rank regularization exploiting intra and inter patch correlation for image denoising
* Low Rank Representation on Grassmann Manifolds
* Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering
* Low Rank Representation on SPD matrices with Log-Euclidean metric
* Low rank representation with adaptive distance penalty for semi-supervised subspace classification
* Low rank subspace clustering (LRSC)
* Low Rank Tensor Completion With Poisson Observations
* Low Rate Uniform Scalar Quantization of Memoryless Gaussian Sources
* Low resolution 3D reconstructions of viruses from X-ray crystal diffraction data
* Low Resolution Character Recognition by Image Quality Evaluation
* Low Resolution Cues for Guiding Saccadic Eye Movements
* Low Resolution Face Recognition Across Variations in Pose and Illumination
* Low resolution face recognition based on support vector data description
* Low Resolution Facial Manipulation Detection
* low resolution multi-camera system for person tracking, A
* Low resolution pedestrian detection using light robust features and hierarchical system
* Low Resolution Person Detection with a Moving Thermal Infrared Camera by Hot Spot Classification
* Low Resolution QR-Code Recognition by Applying Super-Resolution Using the Property of QR-Codes
* Low resolution raster images
* Low resolution slit-scan pattern recognition applying one-dimensional multiparameter analysis
* Low resolution vehicle re-identification based on appearance features for wide area motion imagery
* Low sampling rate algorithm for wireless ECG systems based on compressed sensing theory
* Low Sidelobe Series-Fed Patch Planar Array with AMC Structure to Suppress Parasitic Radiation
* Low SNR Multiframe Registration for Cubesats
* Low SNR signal time-frequency analyzing method
* Low Tensor-Rank Representation Approach for Clustering of Imaging Data, A
* Low Training Strength High Capacity Classifiers for Accurate Ensembles Using Walsh Coefficients
* Low Transmission Overhead Framework of Mobile Visual Search Based on Vocabulary Decomposition, A
* Low visual difference virtual high dynamic range image synthesizer from a single legacy image
* LOW: Training deep neural networks by learning optimal sample weights
* Lower-level Estimates and Interpretation of Visual Motion
* Lower and Upper Bounds for Scaling Factors Used for Integer Approximation of 3D Anisotropic Chamfer Distance Operator
* Lower bound estimation of recommendation error through user uncertainty modeling
* lower bound for generalized median based consensus learning using kernel-induced distance functions, A
* Lower Bound for Structuring Element Decompositions, A
* Lower Bound for the Fisher Information Measure, A
* lower bound on the sample size needed to perform a significant frequent pattern mining task, A
* Lower Bound on Transmission Using Non-Linear Bounding Function in Single Image Dehazing
* Lower Bound to Finding Convex Hulls, A
* Lower Bounds for Bayes Error Estimation
* Lower bounds in pattern recognition and learning
* Lower Complexity Lifting Structures for Hierarchical Lapped Transforms Highly Compatible With JPEG XR Standard
* Lower Dimensional MLE Algorithm for Distributed Source Parameter Estimation, A
* Lower Extremity Posture Assistive Wearable Devices: A Review
* Lower Level and Higher Level Approaches to Content-Based Image Retrieval
* Lower Order Circle and Ellipse Hough Transform
* Lower Order Description and Reconstruction of Sparse Scanning Lidar Measurements of Wind Turbine Inflow Using Proper Orthogonal Decomposition
* Lower Resolution Face Recognition in Surveillance Systems Using Discriminant Correlation Analysis
* Lowering Frame-Buffering Requirements of 3-D Wavelet Transform Coding of Interactive Video
* Lowering the Complexity of Multi-view Encoding through Dynamic Segmentation and Registration of Video Object
* Lowland Rice Mapping in Sédhiou Region (Senegal) Using Sentinel 1 and Sentinel 2 Data and Random Forest
* Lownet: Privacy Preserved Ultra-Low Resolution Posture Image Classification
* Lowpass filtering of rate-distortion functions for quality smoothing for real-time video recording and streaming
* LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks
* LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes
* LP-GAN: Learning perturbations based on generative adversarial networks for point cloud adversarial attacks
* lp-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data
* LP-Multiresolution Analysis: How to Reduce Ringing and Sparsify the Error
* LP-Norm IDF for Large Scale Image Search
* lp-norm MTMKL framework for simultaneous detection of multiple facial action units, A
* LP-Norm optimum filters for image recognition. Part I. Algorithms
* LP-Norm optimum filters for image recognition. Part II: performance evaluation
* lp-Norm Support Vector Data Description
* LP-SR: Approaching Optimal Storage and Retrieval for Video-on-Demand
* LP Norm Design of Stack Filters
* LP norm multiple kernel Fisher discriminant analysis for object and image categorisation
* Lp Norm Relaxation Approach for Large Scale Data Analysis: A Review
* LP Relaxation of the Potts Labeling Problem Is as Hard as Any Linear Program
* LPASS-Net: Lightweight Progressive Attention Semantic Segmentation Network for Automatic Segmentation of Remote Sensing Images
* LPC Based Multispectral Compression Techniques Applied to Optical Imaging Spectrometer Instruments
* LPCL: Localized prominence contrastive learning for self-supervised dense visual pre-training
* LPCUNet: A Lightweight Pure CNN UNet for Efficient Urban Scene Remote Sensing Semantic Segmentation
* LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis
* LPFF: A Portrait Dataset for Face Generators Across Large Poses
* LPGAN: A LBP-Based Proportional Input Generative Adversarial Network for Image Fusion
* LPHOG: A Line Feature and Point Feature Combined Rotation Invariant Method for Heterologous Image Registration
* LPI adaptive descreening method with Hadamard domain analysis
* LPID based criterion for airborne radar hopping frequency design
* LPIN: A Lightweight Progressive Inpainting Network for Improving the Robustness of Remote Sensing Images Scene Classification
* LPMSNet: Location Pooling Multi-Scale Network for Cloud and Cloud Shadow Segmentation
* LPNet: A lightweight CNN with discrete wavelet pooling strategies for colon polyps classification
* LPP and LPP Mixtures for Graph Spectral Clustering
* LPP solution schemes for use with face recognition
* LPPM-Net: Local-aware point processing module based 3D hand pose estimation for point cloud
* LPR-Net: Recognizing Chinese license plate in complex environments
* LPR Instantaneous Centroid Frequency Attribute Based on the 1D Higher-Order Differential Energy Operator, The
* LPSM: Fitting shape model by linear programming
* LPSNet: A lightweight solution for fast panoptic segmentation
* LPSNet: A Novel Log Path Signature Feature Based Hand Gesture Recognition Framework
* LPST-Det: Local-Perception-Enhanced Swin Transformer for SAR Ship Detection
* LPV-Based Autonomous Vehicle Lateral Controllers: A Comparative Analysis
* LQ-bundle adjustment
* Lq-Closest-Point to Affine Subspaces Using the Generalized Weiszfeld Algorithm
* LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
* Lq Averaging for Symmetric Positive-Definite Matrices
* LQF: Linear Quadratic Fine-Tuning
* LQGDNet: A Local Quaternion and Global Deep Network for Facial Depression Recognition
* LQR spatiotemporal fusion technique for face profile collection in smart camera surveillance, A
* LR-CNN for fine-grained classification with varying resolution
* LR-GAN for degraded Face Recognition
* LR-GCN: Latent Relation-Aware Graph Convolutional Network for Conversational Emotion Recognition
* LR-Net: Low-Rank Spatial-Spectral Network for Hyperspectral Image Denoising
* LR-PET Optimization Strategy for Protection of Scalable Video with Unreliable Acknowledgement
* LR-RoadNet: A long-range context-aware neural network for road extraction via high-resolution remote sensing images
* LR-SVM+: Learning Using Privileged Information with Noisy Labels
* LR-TSDet: Towards Tiny Ship Detection in Low-Resolution Remote Sensing Images
* LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model
* LRA&LDRA: Rethinking Residual Predictions for Efficient Shadow Detection and Removal
* LRA: Local Rigid Averaging of Stretchable Non-rigid Shapes
* LRAGE: Learning Latent Relationships With Adaptive Graph Embedding for Aerial Scene Classification
* LRFFNet: Large Receptive Field Feature Fusion Network for Semantic Segmentation of SAR Images in Building Areas
* LRGAN: Visual anomaly detection using GAN with locality-preferred recoding
* LRHW-AP: Using ranking-based metric as loss for Person Re-Identification
* LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test
* LROC analysis of detector-response compensation in SPECT
* LRR-based hyperspectral image restoration by exploiting the union structure of spectral space and with robust dictionary estimation
* LRR-TTK DL for face recognition
* LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images
* LRRU: Long-short Range Recurrent Updating Networks for Depth Completion
* LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images
* LRTCFPan: Low-Rank Tensor Completion Based Framework for Pansharpening
* LRTransDet: A Real-Time SAR Ship-Detection Network with Lightweight ViT and Multi-Scale Feature Fusion
* LRTV: MR Image Super-Resolution With Low-Rank and Total Variation Regularizations
* LS-HDIB: A Large Scale Handwritten Document Image Binarization Dataset
* LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images
* LS-SVM based image segmentation using color and texture information
* LS-VCE Applied to Stochastic Modeling of GNSS Observation Noise and Process Noise
* LS3D: Single-View Gestalt 3D Surface Reconstruction from Manhattan Line Segments
* LSB-Based Steganography Using Reflected Gray Code
* LSB Matching Revisited
* LSB steganography with usage of Mojette Transform for secret image scrambling
* LSCIDMR: Large-Scale Satellite Cloud Image Database for Meteorological Research
* LSD-C: Linearly Separable Deep Clusters
* LSD-SLAM: Large-Scale Direct Monocular SLAM
* LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies
* LSD: A Fast Line Segment Detector with a False Detection Control
* LSD: a Line Segment Detector
* LSDIR: A Large Scale Dataset for Image Restoration
* LSDSAR, a Markovian a contrario framework for line segment detection in SAR images
* LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation
* LSFSL: Leveraging Shape Information in Few-shot Learning
* LSG-CPD: Coherent Point Drift with Local Surface Geometry for Point Cloud Registration
* LSH-based semantic dictionary learning for large scale image understanding
* LSI: Latent semantic inference for natural image segmentation
* LSL3D: A Run-Based Connected Component Labeling Algorithm for 3D Volumes
* LSM: Learning Subspace Minimization for Low-Level Vision
* LSMD-Net: Lidar-stereo Fusion with Mixture Density Network for Depth Sensing
* LSNet: Learned Sampling Network for 3D Object Detection from Point Clouds
* LSNet: Lightweight Spatial Boosting Network for Detecting Salient Objects in RGB-Thermal Images
* LSOS: An FG Position Method Based on Group Phase Ranging Ambiguity Estimation of BeiDou Pseudolite
* LSP: Local similarity pattern, a new approach for rotation invariant noisy texture analysis
* LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network
* LSQ+: Improving low-bit quantization through learnable offsets and better initialization
* LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization
* LSR based astronomical image denoising via adaptive dictionary learning
* LSR: A Light-Weight Super-Resolution Method
* Lsragan: Generating Multifarious Color Photographes From Sketch
* LSRML: A latent space regularization based meta-learning framework for MR image segmentation
* LSS-based registration of stereo thermal-visible videos of multiple people using belief propagation, A
* LSS-net: 3-dimensional segmentation of the spinal canal for the diagnosis of lumbar spinal stenosis
* LSSD: A Controlled Large JPEG Image Database for Deep-learning-based Steganalysis into the Wild
* LssDet: A Lightweight Deep Learning Detector for SAR Ship Detection in High-Resolution SAR Images
* Lst-net: Learning a Convolutional Neural Network with a Learnable Sparse Transform
* LSTA: Long Short-Term Attention for Egocentric Action Recognition
* LSTC-rPPG: Long Short-Term Convolutional Network for Remote Photoplethysmography
* LSTFE-Net: Long Short-Term Feature Enhancement Network for Video Small Object Detection
* LSTM-based deep learning framework for adaptive identifying eco-driving on intelligent vehicle multivariate time-series data
* LSTM-Based Distributed Conditional Generative Adversarial Network for Data-Driven 5G-Enabled Maritime UAV Communications
* LSTM-based dynamic probability continuous hand gesture trajectory recognition
* LSTM-Based Early Recognition of Motion Patterns
* LSTM-Based Intrusion Detection System for VANETs: A Time Series Classification Approach to False Message Detection
* LSTM-Based Realtime Signal Quality Assessment for Photoplethysmogram and Remote Photoplethysmogram, A
* LSTM-Based Remote Sensing Inversion of Largescale Sand Wave Topography of the Taiwan Banks
* LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
* LSTM-DNN based Approach for Pain Intensity and Protective Behaviour Prediction
* LSTM-MA: A LSTM Method with Multi-Modality and Adjacency Constraint for Brain Image Segmentation
* LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework
* LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages, A
* LSTM Approach to Temporal 3d Object Detection in Lidar Point Clouds, An
* LSTM based trajectory prediction model for cyclist utilizing multiple interactions with environment
* LSTM Deep Neural Networks Postfiltering for Improving the Quality of Synthetic Voices
* LSTM for Image Annotation with Relative Visual Importance
* LSTM guided ensemble correlation filter tracking with appearance model pool
* LSTM method for predicting CU splitting in H.264 to HEVC transcoding, An
* LSTM Multiple Object Tracker Combining Multiple Cues
* LSTM network: a deep learning approach for short-term traffic forecast
* LSTM Pose Machines
* LSTM Self-Supervision for Detailed Behavior Analysis
* LSTM with bio inspired algorithm for action recognition in sports videos
* LSTM: Long Short-Term Memory for Captioning, Image Captioning
* LSTM: Long Short-Term Memory
* LSTN:Long Short-Term Traffic Flow Forecasting with Transformer Networks
* LSTPNet: Long short-term perception network for dynamic facial expression recognition in the wild
* LSUnetMix: Fuse channel feature information with long-short term memory
* LSV-ANet: Deep Learning on Local Structure Visualization for Feature Matching
* LSV-LP: Large-Scale Video-Based License Plate Detection and Recognition
* LSVC: A Learning-based Stereo Video Compression Framework
* LSWI-Based Method for Mapping Irrigated Areas in China Using Moderate-Resolution Satellite Data, An
* LT-GAN: Self-Supervised GAN with Latent Transformation Detection
* LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation
* LT-SEI: Long-Tailed Specific Emitter Identification Based on Decoupled Representation Learning in Low-Resource Scenarios
* LT-ViT: A Vision Transformer for Multi-Label Chest X-Ray Classification
* LTE, The UMTS Long Term Evolution: From Theory to Practice
* LTI-Lib
* LTNet: Light Transfer Network for Depth Guided Image Relighting
* LTP-ML: Micro-Expression Detection by Recognition of Local Temporal Pattern of Facial Movements
* LTP-Net: Life-Travel Pattern Based Human Mobility Signature Identification
* LTP: Lane-based Trajectory Prediction for Autonomous Driving
* LTReID: Factorizable Feature Generation With Independent Components for Long-Tailed Person Re-Identification
* LTST: Long-term segmentation tracker with memory attention network
* LTU Technologies
* LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs
* LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net
* LU Decomposition Theorem and Its Implications to the Realization of Two-Dimensional Digital Filters, The
* LUAI Challenge 2021 on Learning to Understand Aerial Images
* Lucas-Kanade 20 Years On
* Lucas-Kanade 20 Years On: A Unifying Framework
* Lucas-Kanade 20 Years On: A Unifying Framework: Part 1
* Lucas-Kanade 20 Years On: A Unifying Framework: Part 2
* Lucas-Kanade 20 Years On: A Unifying Framework: Part 3
* Lucas-Kanade 20 Years On: A Unifying Framework: Part 4
* Lucas-Kanade 20 Years On: Part 5
* Lucas-Kanade based entropy congealing for joint face alignment
* Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts
* Lucas-Kanade without Iterative Warping
* Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods
* LUCFER: A Large-Scale Context-Sensitive Image Dataset for Deep Learning of Visual Emotions
* Lucid Data Dreaming for Video Object Segmentation
* Lucky DCT aggregation for camera shake removal
* LULU Operators and Discrete Pulse Transform for Multidimensional Arrays
* Luma-aware multi-model rate-control for HDR content in HEVC
* Luma-Chroma Space Filter Design for Subpixel-Based Monochrome Image Downsampling
* LumaPath: An Immersive Virtual Reality Game for Encouraging Physical Activity for Senior Arthritis Patients
* Lumbar Bone Mineral Density Estimation From Chest X-Ray Images: Anatomy-Aware Attentive Multi-ROI Modeling
* Lumbar Spine CT synthesis from MR images using CycleGAN - a preliminary study
* Lumbar Spine Segmentation Using a Statistical Multi-Vertebrae Anatomical Shape+Pose Model
* Lumen coronary artery border detection using texture and Chi-square classification
* Lumen Segmentation and Motion Estimation in B-Mode and Contrast-Enhanced Ultrasound Images of the Carotid Artery in Patients With Atherosclerotic Plaque
* Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture, A
* Lumigraph, The
* Luminance- and Contrast-Invariant Edge-Similarity Measure, A
* Luminance-aware Color Transform for Multiple Exposure Correction
* Luminance-Aware Pyramid Network for Low-Light Image Enhancement
* Luminance-Chrominance Model for Image Colorization
* Luminance-Corrected 3D Point Clouds for Road and Street Environments
* Luminance-dependent long-term chromatic adaptation
* Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation
* Luminance-Hue Specification in the RGB Space
* Luminance-Preserving Visible and Near-Infrared Image Fusion Network with Edge Guidance
* Luminance adapted skin color modeling for the robust detection of skin areas
* Luminance and Detail Enhancement for HDR Images Based on Surround-Aware Perceptual Quantization Under Ambient Illumination
* Luminance coding in graph-based representation of multiview images
* Luminance constrained total variation and its application for optimized decoding of JPEG 2000
* Luminance driven sparse representation based demosaicking
* Luminance Enhancement and Detail Preservation of Images and Videos Adapted to Ambient Illumination
* Luminance independent chromaticity preprocessing for HDR video coding
* Luminance quasi-preserving color quantization for digital steganography to palette-based images
* Luminescent Microspheres Resolved from Strong Background on an Automated Time-Gated Luminescence Microscopy Workstation
* Lunar Brightness Temperature Map and TB Distribution Model
* Lunar Brightness Temperature Model Based on the Microwave Radiometer Data of Chang'e-2
* Lunar Calibration and Performance for S-NPP VIIRS Reflective Solar Bands
* Lunar Calibration for ASTER VNIR and TIR with Observations of the Moon in 2003 and 2017
* Lunar Cartography: Progress In The 2000s And Prospects For The 2010s
* Lunar Crater Detection Based on Terrain Analysis and Mathematical Morphology Methods Using Digital Elevation Models
* Lunar Crater Detection on Digital Elevation Model: A Complete Workflow Using Deep Learning and Its Application
* Lunar Image Classification for Terrain Detection
* Lunar Mare Fecunditatis: A Science-Rich Region and a Concept Mission for Long-Distance Exploration
* Lunar Mini-RF Radars: Hybrid Polarimetric Architecture and Initial Results, The
* Lunar Procellarum KREEP Terrane (PKT) Stratigraphy and Structure with Depth: Evidence for Significantly Decreased Th Concentrations and Thermal Evolution Consequences
* Lunar Regolith Structure and Electromagnetic Properties of Chang'E-5 Landing Site, The
* Lunar Regolith Temperature Variation in the Rümker Region Based on the Real-Time Illumination
* Lunar surface crater topology generation using adaptive edge detection algorithm
* Lunar Surface Sampling Feasibility Evaluation Method for Chang'e-5 Mission
* Lunar Terrain and Albedo Reconstruction of the Apollo 15 Zone
* Lunar Terrain Reconstruction From Multi-View LROC NAC Images Based On Semi-global Matching In Object Space
* Lunar terrain reconstruction using PDEs
* Lunar Terrestrial Analog Experiment on the Spectral Interpretations of Rocks Observed by the Yutu-2 Rover
* Lund University
* Lung-Nodule Segmentation Using a Convolutional Neural Network with the U-Net Architecture
* Lung 4D CT Image Registration Based on High-Order Markov Random Field
* Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches
* Lung cancer classification using exponential mean saturation linear unit activation function in various generative adversarial network models
* Lung cancer detection by using probabilistic majority voting and optimization techniques
* Lung Cancer Detection from Thoracic CT Scans Using 3-D Deformable Models Based on Statistical Anatomical Analysis
* Lung computed axial tomography image segmentation using possibilistic fuzzy C-means approach for computer aided diagnosis system
* Lung CT image enhancement based on total variational frame and wavelet transform
* Lung Disease Classification in Chest X-Rays with Feature Fusion via Stacked Convolutional Denoising Autoencoders
* Lung field segmentation in chest radiographs: a historical review, current status, and expectations from deep learning
* Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images, A
* Lung HRCT pattern classification for cystic fibrosis using convolutional neural network
* Lung Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation Approach
* Lung lobe segmentation in computed tomography images based on multi-feature fusion and ensemble learning framework
* Lung Motion Analysis, Respiration, Breathing
* Lung Motion Correction on Respiratory Gated 3-D PET/CT Images
* Lung Nodule Classification Based on Deep Convolutional Neural Networks
* Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features
* Lung Nodule Classification Using Deep Features in CT Images
* Lung nodule classification utilizing support vector machines
* Lung Nodule Detection using Eye-Tracking
* Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework
* Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge
* Lung Nodule Malignancy Subtype Discovery with Semantic Learning
* Lung Nodule Modeling: A Data-Driven Approach
* Lung Nodules Detection and Classification
* Lung Nodules Segmentation with DeepHealth Toolkit
* Lung Parenchyma Segmentation from CT Images Based on Material Decomposition
* Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
* Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images
* Lung segmentation based on Nonnegative Matrix Factorization
* Lung segmentation based on random forest and multi-scale edge detection
* Lung segmentation in chest radiographs by fusing shape information in iterative thresholding
* Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration
* Lung segmentation in chest radiographs using distance regularized level set and deep-structured learning and inference
* Lung segmentation in chest X-ray image using multi-interaction feature fusion network
* Lung segmentation on chest X-ray images in patients with severe abnormal findings using deep learning
* Lung Structure Classification Using 3D Geometric Measurements and SVM
* Lung tumor delineation in PET-CT images using a downhill region growing and a Gaussian mixture model
* Lung Tumor Segmentation Using Electric Flow Lines for Graph Cuts
* Lung tumour detection by fusing extended local binary patterns and weighted orientation of difference from computed tomography
* Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection
* Lungs, and Lung Cancer Image Analysis
* Luojia-1 Nightlight Image Registration Based on Sparse Lights
* Luotuo Mountain Waste Dump Cover Interpretation Combining Deep Learning and VDVI Based on Data from an Unmanned Aerial Vehicle (UAV)
* LUT-Based AdaBoost for Gender Classification
* luvHarris: A Practical Corner Detector for Event-Cameras
* LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
* Luxland
* Luxomatic: Computer Vision for Puppeteering
* LV contour tracking in MRI sequences based on the generalized fuzzy GVF
* LV volume quantification via spatiotemporal analysis of real-time 3-D echocardiography
* LVE-S2D: Low-Light Video Enhancement From Static to Dynamic
* LVFS: A Lightweight Video Storage File System for IP Camera-Based Surveillance Applications
* LVIS: A Dataset for Large Vocabulary Instance Segmentation
* LViT: Language Meets Vision Transformer in Medical Image Segmentation
* LVOS: A Benchmark for Long-term Video Object Segmentation
* LVQ-based Automotive Occupant Classification System, An
* LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease
* LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression
* Lw-Count: An Effective Lightweight Encoding-Decoding Crowd Counting Network
* LW-CovidNet: Automatic covid-19 lung infection detection from chest X-ray images
* LWA-Hand: Lightweight Attention Hand for Interacting Hand Reconstruction
* LWDOS: Language for Writing Descriptors of Outline Shapes
* LWE-based verifiable essential secret image sharing scheme ((t,s,k,n)-VESIS)
* LWGNet: Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval
* LwPosr: Lightweight Efficient Fine Grained Head Pose Estimation
* LX minimization in geometric reconstruction problems
* Lyapunov-Based Crowd Stability Analysis for Asymmetric Pedestrian Merging Layout at T-Shaped Street Junction
* Lyapunov Optimized Resource Management for Multiuser Mobile Video Streaming
* Lycurgus Cup: Inverse problem using photographs for characterization of matter
* Lying-pose detection with training dataset expansion
* Lying with Pixels
* Lymph node detection in 3-D chest CT using a spatial prior probability
* Lymph node detection method based on multisource transfer learning and convolutional neural network
* Lymph Node Metastasis Prediction From Whole Slide Images With Transformer-Guided Multiinstance Learning and Knowledge Transfer
* Lymphocyte Segmentation Using the Transferable Belief Model
* Lyndon + Christoffel = digitally convex
* Lyndon Partial Words and Arrays with Applications
* Lynx Mobile Mapper For Surveying City Centers And Highways
* Lynx mobile mapper: the new survey technology
* Lynx survey of the urban environment and historical heritage
* Lyrics-conditioned Neural Melody Generation
* Lytic Region Recognition in Hip Radiograms by Means of Statistical Dominance Transform
* LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired
* Lytro
* LZM in Action: Realtime Face Recognition System
* Lévy Flight Based Honey Badger Algorithm for Robot Gripper Problem, An

Index for "m"


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