Online Pointers for Letter 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 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 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-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-Shape Model Switching-Based Precise Motion Tracking of Moving Vehicles Using Laser Scanners
=> 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(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-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 -Regularization-Based SAR Imaging and CFAR Detection via Complex Approximated Message Passing
=> L_1 Graph Based Sparse Model for Label De-noising
=> 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
=> 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 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 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
=> 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-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
=> 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
=> 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
=> LA-VITON: A Network for Looking-Attractive Virtual Try-On
=> 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
=> 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-Based Automatic Alignment of Video with Narrative Sentences
=> 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 Learning on Point Clouds Using Approximate Convex Decompositions
=> Label-Embedding for Attribute-Based Classification
=> Label-Embedding for Image Classification
=> Label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications
=> 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-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 and orthogonality regularized non-negative matrix factorization for image classification
=> 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 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 group diffusion for image and image pair segmentation
=> Label Image Constrained Multiatlas Selection
=> Label Incorporated Graph Neural Networks for Text Classification
=> Label inference encoded with local and global patch priors
=> 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 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 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 Self-Adaption Hashing for Image Retrieval
=> Label set perturbation for MRF based neuroimaging segmentation
=> 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
=> Labeled bunch graphs for image analysis
=> Labeled bunch graphs for image analysis
=> 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 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 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 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 Spain With Stanford
=> Labeling Still Image Databases Using Graphical Models
=> Labelled Cell Classifier: A Fast Approximation to k Nearest Neighbors, The
=> 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 logical structures of document images using a dynamic perceptive neural network
=> Labelling strategies for hierarchical multi-label classification techniques
=> Labelling the Behaviour of Local Descriptors for Selective Video Content Retrieval
=> LabelMe video: Building a video database with human annotations
=> LabelMe: A Database and Web-Based Tool for Image Annotation
=> 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
=> 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
=> 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 backscattered intensity for laser scanning land targets
=> Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms, A
=> Laboratory Flume Experiment with a Coded Structured Light System
=> Laboratory Intercomparison of Radiometers Used for Satellite Validation in the 400-900nm Range
=> 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 of neuro imaging: What it is, why it is, and how it came to be, The
=> Laboratory Salinization of Brazilian Alluvial Soils and the Spectral Effects of Gypsum
=> 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
=> LACBoost and FisherBoost: Optimally Building Cascade Classifiers
=> 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-Style DenseNets for Semantic Segmentation of Large Natural Images
=> Ladder Pyramid Networks For Single Image Super-Resolution
=> 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
=> 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
=> 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
=> LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation
=> LAFTER: a real-time face and lips tracker with facial expression recognition
=> LAFTER: Lips and Face Real Time Tracker
=> 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 Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis, A
=> Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis, A
=> Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis, A
=> Lagrangian relaxation graph matching
=> LaIF: A Lane-Level Self-Positioning Scheme for Vehicles in GNSS-Denied Environments
=> 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 Ice-Water Classification of RADARSAT-2 Images by Integrating IRGS Segmentation with Pixel-Based Random Forest Labeling
=> Lake Icepack and Dry Snowpack Thickness Measurement Using Wideband Autocorrelation Radiometry
=> 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
=> LakeTime: Automated Seasonal Scene Selection for Global Lake Mapping Using Landsat ETM+ and OLI
=> LAM: Locality affine-invariant feature matching
=> LAM: Remote Sensing Image Captioning with Label-Attention Mechanism
=> 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-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-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 Reflectance and Linear Subspaces
=> 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
=> Land-Air Interactions over Urban-Rural Transects Using Satellite Observations: Analysis over Delhi, India from 1991-2016
=> Land-Based Mobile Laser Scanning Systems: A Review
=> 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-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 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 scene classification using multi-scale completed local binary patterns
=> 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 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 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 Soil Type Mapping From Spaceborne PolSAR Data at L-Band With Probabilistic Neural Network
=> 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 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 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 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 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 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 VHR airborne images for citrus grove identification
=> 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 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 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 Information Extraction Using Lidar Data
=> 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 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, Land Use, and Climate Change Impacts on Endemic Cichlid Habitats in Northern Tanzania
=> 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 States and Trends in the Northwestern Maghreb Drylands, 1998-2008
=> 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 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 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 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 In Dezhou City Based on Sbas-insar Technology
=> Land Subsidence Monitoring with Multi-track Sar Data
=> Land Subsidence over Oilfields in the Yellow River Delta
=> 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 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 Brightness Temperature Modeling Using Solar Insolation
=> Land Surface Emissivity Product for NOAA JPSS and GOES-R Missions: Methodology and Evaluation
=> 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 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 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 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 Variation Following the 2017 Mw 7.3 Iran Earthquake
=> 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 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 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 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 RapidEye Imagery Based on a Novel Band Attention Deep Learning Method in the Three Gorges Reservoir Area
=> Land Use Change Ontology and Traffic Prediction through Recurrent Neural Networks: A Case Study in Calgary, Canada
=> 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 of VHR Images for Mapping Small-Sized Abandoned Citrus Plots by Using Spectral and Textural Information
=> 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 Influencing the Spatial Distribution of Urban Crime: A Case Study of Szczecin, Poland
=> 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 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 versus Land Cover: Geo-Analysis of National Roads and Synchronisation Algorithms
=> 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 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 Using Multitemporal Sentinel-2 Imagery and Four Classification Methods: A Case Study from Dak Nong, Vietnam
=> Land User And Land Cover Maps Of Europe: A Webgis Platform
=> Landcover Classification in MRF Context Using Dempster-Shafer Fusion for Multisensor Imagery
=> Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery
=> Landmark- and Intensity-Based Registration with Large Deformations via Quasi-conformal Maps
=> 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 Non-rigid Registration Via Graph Cuts
=> Landmark-Based Re-topology of Stereo-Pair Acquired Face Meshes
=> 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 posture invariant human shape correspondence
=> Landmark-Guided Deformation Transfer of Template Facial Expressions for Automatic Generation of Avatar Blendshapes
=> 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 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 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: A unary approach
=> Landmark Representation of Shapes and Fisher-Rao Geometry
=> Landmark Reranking for Smart Travel Guide Systems by Combining and Analyzing Diverse Media
=> Landmark Summarization With Diverse Viewpoints
=> Landmark/image-based deformable registration of gene expression data
=> 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-8 and Sentinel-2 Canopy Water Content Estimation in Croplands through Radiative Transfer Model Inversion
=> 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 Sensor Characterization and Calibration
=> Landsat-8 Thermal Infrared Sensor (TIRS) Vicarious Radiometric Calibration
=> 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 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 Trend Analysis of Lake Dynamics across Northern Permafrost Regions
=> Landsat-based Woody Vegetation Cover Monitoring In Southern African Savannahs
=> 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 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 Analysis Ready Data for Global Land Cover and Land Cover Change Mapping
=> 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 Capability to Mapping of Total Solid Suspended (tss) And Coastal Ecosystem
=> Landsat ETM+ and SRTM Data Provide Near Real-Time Monitoring of Chimpanzee (Pan troglodytes) Habitats in Africa
=> Landsat Imagery Spectral Trajectories: Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance
=> 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
=> Landsats 1-5 Multispectral Scanner System Sensors Radiometric Calibration Update
=> 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 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 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 of clustering algorithms
=> 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 Representation by a Permanent Forest Plot and Alternative Plot Designs in a Typhoon Hotspot, Fushan, Taiwan
=> Landscape Similarity Analysis Using Texture Encoded Deep-Learning Features on Unclassified Remote Sensing Imagery
=> 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 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 Awareness System (LAwS) to Increase the Resilience and Safety of Transport Infrastructure: The Case Study of Pan-American Highway (Cuenca-Ecuador)
=> 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 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 Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia
=> Landslide Detection from Open Satellite Imagery Using Distant Domain Transfer Learning
=> 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 with Himawari-8 Geostationary Satellite Data: A Case Study of a Torrential Rain Event in Kyushu, Japan
=> 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 Fissure Inference Assessment by ANFIS and Logistic Regression Using UAS-Based Photogrammetry
=> Landslide Hazard Assessment Map as an Element Supporting Spatial Planning: The Flysch Carpathians Region Study
=> Landslide Hazard Mapping Using a Radial Basis Function Neural Network Model: a Case Study in Semirom, Isfahan, Iran
=> 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 Image Captioning Method Based on Semantic Gate and Bi-Temporal LSTM
=> 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 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 Prediction Method Based on a Ground-Based Micro-Deformation Monitoring Radar
=> Landslide Recognition by Deep Convolutional Neural Network and Change Detection
=> Landslide Risk Management in the Urban Development of Sandnes (Norway)
=> Landslide Study Using Terrestrial Laser Scanner (LIDAR) Analysis
=> Landslide Susceptibility Assessment at Mila Basin (Algeria): A Comparative Assessment of Prediction Capability of Advanced Machine Learning Methods
=> 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 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 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 Based on Weighted Gradient Boosting Decision Tree in Wanzhou Section of the Three Gorges Reservoir Area (China)
=> 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 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: Machine and Ensemble Learning Based on Remote Sensing Big Data
=> Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation
=> Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
=> Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine-Learning Models
=> 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
=> Landweber Algorithm for 3D Confocal Microscopy Restoration, A
=> LandXML Encoding of Mixed 2D and 3D Survey Plans with Multi-Level Topology
=> Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver
=> 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 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 Naïve Bayesian Classification
=> 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 Intent Analysis Using Robust Operators and Sparse Bayesian Learning
=> Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning
=> Lane Change Maneuvers for Automated Vehicles
=> 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 system and apparatus
=> Lane detection using lane boundary marker network with road geometry constraints
=> 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 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 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
=> 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-Agnostic Visual-Semantic Embeddings
=> Language-aware weak supervision for salient object detection
=> Language-Based Image Editing with Recurrent Attentive Models
=> Language-based querying of image collections on the basis of an extensible ontology
=> Language-Conditioned Graph Networks for Relational Reasoning
=> Language-Conditioned Graph Networks for Relational Reasoning
=> Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model
=> 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 and Script Identification Based on Steerable Pyramid Features
=> Language and Visual Relations Encoding for Visual Question Answering
=> Language Features Matter: Effective Language Representations for Vision-Language Tasks
=> 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 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 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 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 Modelization and Categorization for Voice-Activated QA
=> Language Models for Handwritten Short Message Services
=> Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities, The
=> Language Person Search with Pair-based Weighting Loss
=> Language Proficiency Classification During Computer-Based Test with EEG Pattern Recognition Methods
=> Language2Pose: Natural Language Grounded Pose Forecasting
=> Languages for constrained binary segmentation based on maximum a posteriori probability labeling
=> 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
=> 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 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 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 linear discriminant analysis
=> 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 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 decomposition-type method for resolution enhancement of ultrasound images
=> 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 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
=> 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
=> LAPSE: Low-Overhead Adaptive Power Saving and Contrast Enhancement for OLEDs
=> LAR-LLC: A Low-Complexity Multiresolution Lossless Image Codec
=> 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-Dimensional Seismic Inversion Using Global Optimization With Autoencoder-Based Model Dimensionality Reduction
=> Large-field-of-view, modular, stabilized, adaptive-optics-based scanning laser ophthalmoscope
=> 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 Predictive Latent Subspace Learning for Multiview Data Analysis
=> Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting
=> Large-Scale 3D Object Recognition Dataset, A
=> Large-Scale 3D Object Recognition Dataset, A
=> 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 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 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 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 Reconstruction Through Information Fusion and 3-D Priors
=> Large-Scale Bundle Adjustment by Parameter Vector Partition
=> Large-Scale Camera Network Topology Estimation by Lighting Variation
=> large-scale car dataset for fine-grained categorization and verification, A
=> Large-scale color holographic display capable of steering view window
=> Large-Scale Concept Detection in Multimedia Data Using Small Training Sets and Cross-Domain Concept Fusion
=> Large-Scale Content-Only Video Recommendation
=> 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 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 of Images and Captions for Automatic Face Naming, A
=> Large-Scale Deep-Learning Approach for Multi-Temporal Aqua and Salt-Culture Mapping, A
=> Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning
=> 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 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 Fashion (DeepFashion) Dataset
=> Large-scale feature matching with distributed and heterogeneous computing
=> 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 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 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 implementation of floating car data monitoring road friction
=> 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 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 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 Live Active Learning: Training Object Detectors with Crawled Data and Crowds
=> 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 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 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 monocular SLAM by local bundle adjustment and map joining
=> 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 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 multiview 3D hand pose dataset
=> Large-scale music exploration in hierarchically organized landscapes using prototypicality information
=> Large-scale near-duplicate image retrieval by kernel density estimation
=> Large-Scale Near-Duplicate Web Video Retrieval: Challenges and Approaches
=> 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-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 Parallel Data Clustering
=> 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 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 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 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 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 safety evaluation using extreme value theory
=> Large-Scale Robust Semisupervised Classification
=> 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 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 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 SUMO-Based Emulation Platform, A
=> 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 of Shadow Detectors with Noisily-Annotated Shadow Examples
=> Large-scale urban environment modeling from videos using image content segmentation and alignment
=> Large-Scale Urban Modeling by Combining Ground Level Panoramic and Aerial Imagery
=> 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 Retrieval Using Image Queries
=> Large-Scale Video Search and Mining
=> Large-Scale Video Search and Mining
=> Large-Scale Video Summarization Using Web-Image Priors
=> 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, 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-Scale, Time-Synchronized Visible and Thermal Face Dataset, A
=> 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-to-fine-scale shape prior for probabilistic segmentations using a deformable m-rep, A
=> Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement Models
=> Large-Vocabulary Continuous Speech Recognition Systems: A Look at Some Recent Advances
=> 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 Niño Event by Using Satellite Measurements
=> 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 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 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 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 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 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 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 Matters: Improve Semantic Segmentation by Global Convolutional Network
=> Large Kernel Refine Fusion Net for Neuron Membrane Segmentation
=> Large Lexicon Detection of Sign Language
=> 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 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 Occlusion Stereo
=> Large Occlusion Stereo
=> 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 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 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 Holistic Video Understanding
=> 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 Search
=> Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction
=> Large Scale Incremental Learning
=> 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 monitoring of crowds and building utilisation: A new database and distributed approach
=> 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 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 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 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 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 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 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
=> Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
=> Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
=> Largest-Eigenvalue-Theory for Incremental Principal Component Analysis
=> 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
=> Laryngoscope8: Laryngeal image dataset and classification of laryngeal disease based on attention mechanism
=> 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-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-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 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 Range Data, Photographs and Architecural Components
=> 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 Modeling Under Generalized Mixed Pixels Effect
=> Laser ranging system calibration device
=> Laser Scanner and Camera-Equipped UAV Architectural Surveys
=> 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 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 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 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 speckle photography for surface tampering detection
=> Laser stripe peak detector for 3D scanners. A FIR filter approach
=> 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
=> LASIC: A model invariant framework for correspondence
=> LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
=> 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
=> LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging
=> LASSO approximation and application to image super-resolution with CUDA acceleration
=> 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: 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 Blight Forecast Using Mobile Phone Based Agro Advisory System
=> 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 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: 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 and avatars in Virtual Environments and the effects on gait for persons with mobility impairments
=> 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
=> 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-Segmentation, Hazard-Based Models of Travel Time
=> 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 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 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 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 Heat Flux in the Agulhas Current
=> 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 Layout Analysis for Discovering Objects in Images
=> Latent Linear Dynamics for Modeling Pedestrian Behaviors
=> Latent Log-Linear Models for Handwritten Digit Classification
=> Latent Low-Rank Representation for subspace segmentation and feature extraction
=> 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 Pose Estimator for Continuous Action Recognition
=> 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 Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data
=> 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 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 Regularization for Unsupervised Domain Adaptation in Semantic Segmentation
=> 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 Structure Preserving Hashing
=> Latent structured models for human pose estimation
=> 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 Topic-aware Multi-label Classification
=> 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 trees for estimating intensity of Facial Action Units
=> Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP)
=> Latent visual context analysis for image re-ranking
=> Latent visual context learning for web image applications
=> LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
=> Lateral and Depth Calibration of PMD-Distance Sensors
=> Lateral control assistance in car driving: Classification, review and future prospects
=> 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 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 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 Vehicle State and Environment Estimation Using Temporally Previewed Mapped Lane Features
=> Lateral Vehicle Trajectory Optimization Using Constrained Linear Time-Varying MPC
=> 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
=> 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-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 Framework for Annular Filters in Morphological Image Processing, 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 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 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 Quad-Tree Indexing Algorithm for a Hexagonal Discrete Global Grid System
=> 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
=> 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
=> 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
=> Laval University
=> Lavatube: A Software Framework for Computer Vision Research and Development
=> Lavic Lake Fault: A Long-Term Cumulative Slip Analysis via Combined Field Work and Thermal Infrared Hyperspectral Airborne Remote Sensing, The
=> 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 Restoration Framework for Variable-Aperture Photography, A
=> Layer-based video registration
=> 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 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 Invertibility for Extreme Memory Cost Reduction of CNN Training
=> Layer-Wise Weight Decay for Deep Neural Networks
=> 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 Removal Scheme for Atmospheric Correction of Satellite Ocean Color Data in Coastal Regions, A
=> Layer Stripping Approach for EM Reconstruction of Stratified Media, A
=> Layer the sphere
=> LayerCAM: Exploring Hierarchical Class Activation Maps for Localization
=> Layered-based exposure fusion algorithm
=> 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 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 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 detection for multiple overlapping objects
=> Layered Dynamic Textures
=> Layered Embeddings for Amodal Instance Segmentation
=> 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 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 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 object categorization
=> Layered object detection for multi-class segmentation
=> 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 Representation for Model-Based Filtering and Recognition, A
=> Layered Representation for Motion Analysis
=> Layered Representation for Motion Analysis
=> 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 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 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 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
=> LayerP2P: Using Layered Video Chunks in P2P Live Streaming
=> Layerwise Class-Aware Convolutional Neural Network
=> Laying the Foundations of Deep Long-term Crowd Flow Prediction
=> Layout-Based Document-Retrieval System by Radon Transform Using Dynamic Time Warping
=> Layout-Graph Reasoning for Fashion Landmark Detection
=> Layout-Induced Video Representation for Recognizing Agent-in-Place Actions
=> 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 indexing of trademark images
=> Layout of Multiple Views for Volume Visualization: A User Study
=> Layout Recognition of Multi-Kinds of Table-Form Documents
=> Layout2image: Image Generation from Layout
=> LayoutGAN: Synthesizing Graphic Layouts With Vector-Wireframe Adversarial Networks
=> LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
=> LayoutVAE: Stochastic Scene Layout Generation From a Label Set
=> Layover Analysis in Synthetic Aperture Imagery
=> 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
=> LBGS: a smart approach for very large data sets vector quantization
=> 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 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-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
=> LBT Based Low Complexity Image Compression Method
=> 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
=> 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
=> LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification
=> LCNN: Lookup-Based Convolutional Neural Network
=> LCO: Lightweight Convolution Operators for fast tracking
=> LCR-Net: Localization-Classification-Regression for Human Pose
=> LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images
=> LCrowdV: Generating Labeled Videos for Simulation-Based Crowd Behavior Learning
=> LCSCNet: Linear Compressing-Based Skip-Connecting Network for Image Super-Resolution
=> 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-MAN: Layout-Driven Multimodal Attention Network for Online News Sentiment Recognition
=> 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/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation
=> LDA/SVM Driven Nearest Neighbor Classification
=> LDAHash: Improved Matching with Smaller Descriptors
=> 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
=> LDF-Net: Learning a Displacement Field Network for Face Recognition across Pose
=> LDFT-Based Watermarking Resilient to Local Desynchronization Attacks
=> LDGAN: A Synthetic Aperture Radar Image Generation Method for Automatic Target Recognition
=> LDGM codes for joint source-channel coding of correlated sources
=> LDMNet: Low Dimensional Manifold Regularized Neural Networks
=> 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
=> Le Corbusier's Apartment-studio: 3D Model Data of Preliminary Research for the Restoration
=> 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
=> 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
=> Leading Progress in Digital Terrain Analysis and Modeling
=> Leaf-Based Plant Identification Through Morphological Characterization in Digital Images
=> 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 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 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 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 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 Spot Attention Network for Apple Leaf Disease Identification
=> Leafing Patterns and Drivers across Seasonally Dry Tropical Communities
=> 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
=> 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
=> Learn-select-track: An approach to multi-object tracking
=> Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility
=> Learn a Global Appearance Semi-Supervisedly for Synthesizing Person Images
=> Learn Concepts in Multiple-Instance Learning with Diverse Density Framework Using Supervised Mean Shift
=> Learn Discriminant Features for Multi-View Face and Eye Detection
=> Learn Distributed GAN with Temporary Discriminators
=> Learn from the past: Sequentially one-to-one video deblurring network
=> 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 Sparse Dictionaries for Edit Propagation
=> 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 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 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 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 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: 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
=> Learn2Dance: Learning Statistical Music-to-Dance Mappings for Choreography Synthesis
=> Learn2Dance: Learning Statistical Music-to-Dance Mappings for Choreography Synthesis
=> Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness
=> Learnable and Nonlearnable Visual Concepts
=> Learnable and Nonlearnable Visual Concepts
=> Learnable contextual regularization for semantic segmentation of indoor scene images
=> Learnable Cost Volume Using the Cayley Representation
=> Learnable Descriptors for Visual Search
=> Learnable Gated Convolutional Neural Network for Semantic Segmentation in Remote-Sensing Images
=> 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 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 PINs: Cross-modal Embeddings for Person Identity
=> Learnable Pooling Methods for Video Classification
=> Learnable pooling weights for facial expression recognition
=> Learnable Scatternet: Locally Invariant Convolutional Layers, A
=> Learnable Stroke Models for Example-based Portrait Painting
=> Learnable Triangulation of Human Pose
=> 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 Collaborative Representations for Image Classification
=> Learned Collaborative Stereo Refinement
=> Learned Collaborative Stereo Refinement
=> Learned Contextual Feature Reweighting for Image Geo-Localization
=> Learned Dual-View Reflection Removal
=> Learned Dynamic Guidance for Depth Image Reconstruction
=> Learned Fast HEVC Intra Coding
=> learned feature descriptor for efficient gender recognition using an RGB-D sensor, A
=> Learned Greedy Method (LGM): A novel neural architecture for sparse coding and beyond
=> Learned image and video compression with deep neural networks
=> Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules
=> 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 Compression
=> Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm
=> Learned Image Downscaling for Upscaling Using Content Adaptive Resampler
=> 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 Low Bit-rate Image Compression with Adversarial Mechanism
=> 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 Multi-patch Similarity
=> 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 Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay 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 Semantic Multi-Sensor Depth Map Fusion
=> Learned Shape-Tailored Descriptors for Segmentation
=> Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
=> Learned Templates for Feature Extraction in Fingerprint Images
=> Learned Temporal Models of Image Motion
=> Learned Video Compression with Feature-level Residuals
=> Learned Video Compression with Intra-Guided Enhancement and Implicit Motion Information
=> 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
=> LEARNet: Dynamic Imaging Network for Micro Expression Recognition
=> 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 Compressive MRI
=> Learning-based constitutive parameters estimation in an image sensing system with multiple mirrors
=> 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 Driving Events Recognition and Its Application to Digital Roads
=> Learning-based dynamic coupling of discrete and continuous trackers
=> Learning-based encoding with soft assignment for age estimation under unconstrained imaging conditions
=> Learning-based face hallucination in DCT domain
=> Learning-based Face Synthesis for Pose-robust Recognition from Single Image
=> 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 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 Joint Super-Resolution and Deblocking for a Highly Compressed Image
=> Learning-Based Just-Noticeable-Quantization- Distortion Modeling for Perceptual Video Coding
=> Learning-Based License Plate Detection Using Global and Local Features
=> 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 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 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 Quality Control for Cardiac MR Images
=> Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation
=> Learning-Based Restoration of Backlit Images
=> Learning-Based Robot Vision
=> Learning-Based Sampling for Natural Image Matting
=> Learning-Based Segmentation Framework for Tissue Images Containing Gene Expression Data
=> Learning-Based Shadow Recognition and Removal From Monochromatic Natural Images
=> 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 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 word spotting system for Arabic handwritten documents
=> Learning-Based, Automatic 2D-to-3D Image and Video Conversion
=> 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-to-Rank Approach for Image Color Enhancement, A
=> Learning 2D Hand Shapes Using the Topology Preservation Model GNG
=> Learning 2D Shape Models
=> Learning 3-D Scene Structure from a Single Still Image
=> 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 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 from Structure and Motion
=> 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 Strategies
=> 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 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 Shape Completion from Laser Scan Data with Weak Supervision
=> Learning 3D Shape Completion Under Weak Supervision
=> 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 background model for change detection
=> Learning a bag of features based nonlinear metric for facial similarity
=> 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 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 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 cross-modal hashing network for multimedia search
=> Learning a decision boundary for face detection
=> 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 Attention Network for Video Super-Resolution
=> Learning a Deep Embedding Model for Zero-Shot Learning
=> Learning a Deep Model for Human Action Recognition from Novel Viewpoints
=> 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 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 High-Resolution Network for Multi-Scale Pedestrian Detection
=> Learning a Dynamic Map of Visual Appearance
=> 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 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 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 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 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 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-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 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 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 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 representation via a deep network on symmetric positive definite manifolds
=> Learning a Robust Society of Tracking Parts Using Co-occurrence Constraints
=> 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 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 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 Tucker Decomposition Network for Lossy Image Compression With Multiple Bits-per-Pixel Rates
=> Learning a sparse dictionary of video structure for activity modeling
=> Learning a Sparse Representation for Object Detection
=> 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, 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 Superpixel-Driven Speed Function for Level Set Tracking
=> Learning a Synchronous MAP for Improved Face Recognition
=> 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 Aberrance Repressed Correlation Filters for Real-Time UAV Tracking
=> Learning About the Heritage of Tinian Marble Crafts with a Location-based Mobile Game and Tour App
=> Learning Across Tasks and Domains
=> Learning across views for stereo image completion
=> 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 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 Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering
=> Learning Adaptive Receptive Fields for Deep Image Parsing Network
=> Learning Adaptive Regularization for Image Labeling Using Geometric Assignment
=> Learning adaptive spatial-temporal regularized correlation filters for visual tracking
=> Learning adaptively windowed correlation filters for robust tracking
=> Learning Additive Kernel For Feature Transformation and Its Application to CNN Features
=> 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 Functions for Image Segmentation: Combining Patch-Based and Gradient-Based Approaches
=> 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 Algorithm Based on Modified Structure of Pattern Classes
=> 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 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 Alternating Deep-Layer Cascaded Representation
=> 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 Attention Model for Robust 2-D/3-D Registration Using Point-To-Plane Correspondences
=> 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 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 Image-Based Motion Context for Multiple People Tracking
=> Learning an Information Theoretic Transform for Object Detection
=> 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 Hilbert Space for Domain Adaptation
=> Learning an object class representation on a continuous viewsphere
=> Learning an Object Model for Feature Matching in Clutter
=> Learning an Optimal Naive Bayes Classifier
=> 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 analytics system for assessing students' performance quality and text mining in online communication
=> 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 Analysis of AusRAP Attributes from Digital Video Recording for Road Safety
=> Learning and Association of Features for Action Recognition in Streaming Video
=> Learning and Calibrating Per-Location Classifiers for Visual Place Recognition
=> 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 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 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 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 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 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 Recognizing Human Dynamics in Video Sequences
=> 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 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 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 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 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 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 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 based saliency in videos from human eye movements
=> Learning attention map from images
=> 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 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 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 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 digital matting
=> Learning Based Interactive Image Segmentation
=> 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 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 Cytogenetic Image Classification
=> Learning Bayesian networks using the constrained maximum a posteriori probability method
=> Learning Bayesian Networks with qualitative constraints
=> 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 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 Boosted Asymmetric Classifiers for Object Detection
=> 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 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 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 Sampling for White Blood Cells Segmentation
=> Learning by Tracking: Siamese CNN for Robust Target Association
=> Learning Camera-aware Noise Models
=> 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 Correlations
=> Learning Canonical Representations for Scene Graph to Image Generation
=> Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation
=> 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 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 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 deep regression for object tracking
=> Learning Channel-Wise Interactions for Binary Convolutional Neural Networks
=> 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 Clip Representations for Skeleton-Based 3D Action Recognition
=> Learning clustering-based linear mappings for quantization noise removal
=> 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 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 image expansion filters
=> Learning Color Names for Real-World Applications
=> Learning Color Names from Real-World Images
=> 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 Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
=> 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 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 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 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 Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes
=> 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 Representations for Few-Shot Recognition
=> Learning Compositional Sparse Bimodal Models
=> Learning Compositional Visual Concepts with Mutual Consistency
=> Learning compressed image classification features
=> Learning Compressible 360° Video Isomers
=> 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 Conditional Random Fields for Classification of Hyperspectral Images
=> Learning Conditional Random Fields for Stereo
=> 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 Representation for Weak Style Classification
=> Learning Consistent Discretizations of the Total Variation
=> Learning Consistent Feature Representation for Cross-Modal Multimedia Retrieval
=> 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 Continuous Face Age Progression: A Pyramid of GANs
=> Learning continuous temporal embedding of videos using pattern theory
=> Learning contour-fragment-based shape model with And-Or tree representation
=> Learning contrastive feature distribution model for interaction recognition
=> Learning Control Policies of Driverless Vehicles from UAV Video Streams in Complex Urban Environments
=> Learning Controllable Face Generator from Disjoint Datasets
=> 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 Visual Dialog Agents with Deep Reinforcement Learning
=> Learning Correlation Filter With Detection Response For Visual Tracking
=> Learning correlation filters in independent feature channels for robust visual tracking
=> Learning Correspondence From the Cycle-Consistency of Time
=> Learning Correspondence Structures for Person Re-Identification
=> 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-Domain Information Transfer for Location Recognition and Clustering
=> Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation
=> Learning Cross-Media Joint Representation With Sparse and Semisupervised Regularization
=> 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-Modality Representations From Multi-Modal Images
=> Learning cross-modality similarity for multinomial data
=> Learning Cross-Spectral Similarity Measures with Deep Convolutional Neural Networks
=> 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 data-driven image similarity measure
=> Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition
=> Learning Data Augmentation Strategies for Object Detection
=> Learning Data Augmentation with Online Bilevel Optimization for Image Classification
=> Learning Data Terms for Non-blind Deblurring
=> Learning decision trees with taxonomy of propositionalized attributes
=> Learning Deconvolution Network for Semantic Segmentation
=> 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 Descriptor with Multi-Quantization
=> Learning Deep CNN Denoiser Prior for Image Restoration
=> Learning deep CNNs for impulse noise removal in images
=> 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-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 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 kernels in the space of monotone conjunctive polynomials
=> 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 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 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 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 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 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 with Structure Guidance Constraints for Adaptive Radiotherapy
=> Learning deformable shape manifolds
=> Learning Deformations of Human Arm Movement to Adapt to Environmental Constraints
=> Learning Deformations with Parallel Transport
=> Learning Delicate Local Representations for Multi-person Pose Estimation
=> Learning denoising bounds for noisy images
=> Learning Dense Correspondence via 3D-Guided Cycle Consistency
=> 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-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 from a single image using visual-depth words
=> Learning Depth from Endoscopic Images
=> 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 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 Detailed Face Reconstruction from a Single 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 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 Discrete Matrix Factorization Models
=> 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 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 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 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 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 Reconstructions for Unsupervised Outlier Removal
=> 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 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 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 Multimodal Representations for the Fashion Domain
=> 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 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 for Arbitrary Visual Features
=> 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 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 document structure for retrieval and classification
=> Learning domain-invariant feature for robust depth-image-based 3D shape retrieval
=> Learning domain-shared group-sparse representation for unsupervised domain adaptation
=> 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 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 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 Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images
=> Learning Dual Semantic Relations With Graph Attention for Image-Text Matching
=> Learning Dual Transformation Networks for Image Contrast Enhancement
=> 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 GMM for Attention Distribution on Single-Face Videos
=> 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 Memory Networks for Object Tracking
=> 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 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 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 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 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 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 Hash Codes for Fast Graph-Based Data Similarity Retrieval
=> Learning Efficient Linear Predictors for Motion Estimation
=> 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 Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
=> Learning Emotional-Blinded Face Representations
=> Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
=> Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns
=> Learning Energy Based Inpainting for Optical Flow
=> Learning Enhanced Resolution-Wise Features For Human Pose Estimation
=> Learning Enriched Features for Real Image Restoration and Enhancement
=> 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 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 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 Extremal Representations with Deep Archetypal Analysis
=> Learning Face Age Progression: A Pyramid Architecture of GANs
=> Learning Face Appearance under Different Lighting Conditions
=> Learning Face Deblurring Fast and Wide
=> 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 Fashion By Simulated Human Supervision
=> Learning Fashion Compatibility Across Apparel Categories for Outfit Recommendation
=> 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 Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning
=> Learning feature aggregation in temporal domain for re-identification
=> Learning Feature Characteristics
=> 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 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 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 on robotic surgical tools
=> Learning Features Robust to Image Variations with Siamese Networks for Facial Expression Recognition
=> Learning Filter Basis for Convolutional Neural Network Compression
=> 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 Filters for the 2D Wavelet Transform
=> Learning filters in Gaussian process classification problems
=> Learning Fine-Grained Image Similarity with Deep Ranking
=> 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 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 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 Disparity Estimation Through Feature Constancy
=> Learning for feature selection and shape detection
=> Learning for Graph-Based Sensorless Freehand 3D Ultrasound
=> Learning for Multi-view 3D Tracking in the Context of Particle Filters
=> Learning for Optical Flow Using Stochastic Optimization
=> Learning for Optical Flow Using Stochastic Optimization
=> 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 Video Compression With Hierarchical Quality and Recurrent Enhancement
=> Learning for Video Compression
=> Learning for Video Super-Resolution Through HR Optical Flow Estimation
=> 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 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 adaptive neural control for a class of pure-feedback systems
=> Learning from Ambiguously Labeled Face Images
=> Learning from ambiguously labeled images
=> 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 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 Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding
=> 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 annotators using kernel alignment
=> Learning from multiple annotators: Distinguishing good from random labelers
=> 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 Narrated Instruction Videos
=> 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 Labels by Regularized Estimation of Annotator Confusion
=> Learning from Noisy Labels via Discrepant Collaborative Training
=> Learning from Noisy Labels with Distillation
=> Learning from Noisy Large-Scale Datasets with Minimal Supervision
=> 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 supervised data using mixture models and belief functions
=> Learning from PhotoShop Operation Videos: The PSOV Dataset
=> 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 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 Data for Crowd Counting 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 the 2018 Western Japan Heavy Rains to Detect Floods during the 2019 Hagibis Typhoon
=> Learning from the Informality. Using GIS Tools to Analyze the Structure of Autopoietic Urban Systems in the Smart Perspective
=> 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 User Behavior in Image Retrieval: Application of Market Basket Analysis
=> Learning from Video and Text via Large-Scale Discriminative Clustering
=> 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 Videos for Event Classification
=> Learning full-reference quality-guided discriminative gradient cues for lane detection based on neural networks
=> Learning Full Pairwise Affinities for Spectral Segmentation
=> 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 Furniture Compatibility with Graph Neural Networks
=> Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields
=> Learning Gabor Magnitude Features for Palmprint Recognition
=> Learning Gait Parameters for Locomotion in Virtual Reality Systems
=> 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 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 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 Scene Features
=> Learning Generative Models of Shape Handles
=> Learning Generative Models of Tissue Organization with Supervised GANs
=> Learning Generative Models via Discriminative Approaches
=> Learning generative texture models with extended Fields-of-experts
=> 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 Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
=> Learning Generator Networks for Dynamic Patterns
=> 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 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 Equivalence between Patterns Using Embedding Neural Networks
=> Learning Geometric Hashing Functions for Model Based Object Recognition
=> Learning geometrical transforms between multi camera views using Canonical Correlation Analysis
=> Learning Geometry-Aware Kernels in a Regularization Framework
=> Learning Global and Cluster-Specific Classifiers for Robust Brain Extraction in MR Data
=> Learning Global Brain Microstructure Maps Using Trainable Sparse Encoders
=> Learning global cost function for face alignment
=> 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 good features for Active Shape Models
=> 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 Cut Energy Functions for Image Segmentation
=> Learning Graph Distances with Message Passing Neural Networks
=> Learning graph edit distance by graph neural networks
=> 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
=> Learning Graph Matching
=> Learning Graph Matching
=> Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes
=> Learning Graph Model for Different Dimensions Image Matching
=> Learning graph prototypes for shape recognition
=> Learning Graph Structure for Multi-Label Image Classification Via Clique Generation
=> Learning Graph Topology Representation with Attention Networks
=> Learning Graphical Model for Human Motion Characterization Using Genetic Optimization
=> Learning Graphical Model Parameters with Approximate Marginal Inference
=> 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 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 Hash Codes with Listwise Supervision
=> Learning Hidden Semantic Cues Using Support Vector Clustering
=> Learning hierarchical 3D kernel descriptors for RGB-D action recognition
=> Learning Hierarchical Bag of Words Using Naive Bayes Clustering
=> 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 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 poselets for human parsing
=> Learning hierarchical representations for face verification with convolutional deep belief networks
=> 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 video representation for action recognition
=> 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-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 Structures for Texture Retrieval
=> Learning High Dynamic Range from Outdoor Panoramas
=> 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 Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets
=> Learning Human-Like Opponent Behavior for Interactive Computer Games
=> Learning Human-Object Interaction Detection Using Interaction Points
=> Learning Human-Object Interactions by Graph Parsing Neural Networks
=> Learning Human-Robot Interaction for Robot-Assisted Pedestrian Flow Optimization
=> 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 face detection in cluttered scenes
=> Learning Human Interaction by Interactive Phrases
=> 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 Representation by Robust Dictionary Learning in Factorized Compressed Space
=> Learning Hyperedge Replacement Grammars for Graph Generation
=> Learning Hypergraph-regularized Attribute Predictors
=> Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment
=> Learning Illuminant Estimation from Object Recognition
=> Learning Illumination Models While Tracking
=> Learning image-specific parameters for interactive segmentation
=> Learning Image-to-Image Translation Using Paired and Unpaired Training Samples
=> 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 Annotation: The Cite System
=> Learning image compressed sensing with sub-pixel convolutional generative adversarial network
=> 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 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 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 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 IMED via shift-invariant transformation
=> Learning Implicit Fields for Generative Shape Modeling
=> Learning Implicit Generative Models by Matching Perceptual Features
=> Learning Implicit Surface Light Fields
=> Learning Implicit Transfer for Person Re-identification
=> Learning Important Spatial Pooling Regions for Scene Classification
=> Learning in an Active Hybrid Vision System
=> Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
=> Learning in Computer Vision: Some Thoughts
=> Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
=> 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 Pattern Recognition: Some Thoughts
=> Learning in Region-Based Image Retrieval with Generalized Support Vector Machines
=> Learning in Syntactic Recognition of Symbols Drawn on a Graphic Tablet
=> Learning in the Frequency Domain
=> 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 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 instance-aware object detection using determinantal point processes
=> Learning instance-to-class distance for human action recognition
=> Learning Instance Activation Maps for Weakly Supervised Instance Segmentation
=> 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 interaction protocols by mimicking understanding and reproducing human interactive behavior
=> Learning Interactions and Relationships Between Movie Characters
=> Learning Interleaved Cascade of Shrinkage Fields for Joint Image Dehazing and Denoising
=> Learning Interpolation via Regional Map for Pan-Sharpening
=> Learning Interpretable Representation for 3D Point Clouds
=> 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 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 Image Restoration
=> Learning Invariant Riemannian Geometric Representations Using Deep Nets
=> Learning invariant structure for object identification by using graph methods
=> Learning invariants to illumination changes typical of indoor environments: Application to image color correction
=> Learning Iteration-Dependent Denoisers for Model-Consistent Compressive Sensing
=> Learning Iteration-wise Generalized Shrinkage: Thresholding Operators for Blind Deconvolution
=> 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 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 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 Kinematic Structure Correspondences Using Multi-Order Similarities
=> Learning Knowledge-Rich Sequential Model for Planar Homography Estimation in Aerial Video
=> Learning label correlations for multi-label image recognition with graph networks
=> Learning Landmark Guided Embeddings for Animal Re-identification
=> Learning Lane Graph Representations for Motion Forecasting
=> Learning Large-Scale Automatic Image Colorization
=> Learning large margin likelihoods for realtime head pose tracking
=> Learning Latent Constituents for Recognition of Group Activities in Video
=> 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 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 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 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 Lane Detection CNNs by Self Attention Distillation
=> Learning Lightweight Multi-Scale Feedback Residual Network for Single Image Super-Resolution
=> 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 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 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 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 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 Patch Orientation with a Cascade of Sparse Regressors
=> 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 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 locality-constrained collaborative representation for robust face recognition
=> 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 Logic Rules for Scene Interpretation Based on Markov Logic Networks
=> 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 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-Level Vision
=> 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 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 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 Melanocytic Proliferation Segmentation in Histopathology Images from Imperfect Annotations
=> Learning Membership Functions in a Function-Based Object Recognition System
=> Learning Memory-Guided Normality for Anomaly Detection
=> Learning Memory Augmented Cascading Network for Compressed Sensing of Images
=> Learning Meshes for Dense Visual SLAM
=> Learning message-passing inference machines for structured prediction
=> 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 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 generic object recognition with invariance to pose and lighting
=> 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 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 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 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 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 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 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 Universal Representations for Transfer-Learning
=> Learning Morphological Operators for Depth Completion
=> 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 representation for real-time spatio-temporal action localization
=> Learning motion trajectories via self-organization
=> 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-denoising autoencoding priors for image super-resolution
=> Learning Multi-domain Convolutional Neural Networks for Visual Tracking
=> 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-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 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 Interaction Relations and Feature Representations for Group Activity Recognition
=> Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition
=> 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 Representations for Material Classification
=> Learning multi-scale sparse representation for visual tracking
=> Learning Multi-Task Correlation Particle Filters for Visual Tracking
=> 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 Representation With LSTM for 3-D Shape Recognition and Retrieval
=> 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 Representations for Unseen Activities
=> Learning Multiple Complex Features Based on Classification Results
=> 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 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 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 Visibility Relationship for Pedestrian Detection with a Deep Model
=> 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 Near-Optimal Cost-Sensitive Decision Policy for Object Detection
=> 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 Network Architectures using Backpropagation
=> Learning Neural Networks with Ranking-Based Losses for Action Retrieval
=> Learning Neural Textual Representations for Citation Recommendation
=> 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 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 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 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-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-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 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-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 Deformation and Motion Adaption for Semi-supervised Video Object Segmentation
=> Learning Object Depth from Camera Motion and Video Object Segmentation
=> 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 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 Recognition Models from Images
=> Learning Object Relation Graph and Tentative Policy for Visual Navigation
=> Learning object relationships via graph-based context model
=> 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 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 Graphical Models and Efficient Inference for Object Class Recognition
=> Learning of invariant object recognition in hierarchical neural networks using temporal continuity
=> 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 perceptual grouping for object segmentation on RGB-D data
=> 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 off-line vs. on-line models of interactive multimodal behaviors with recurrent neural networks
=> Learning On-Road Visual Control for Self-Driving Vehicles With Auxiliary Tasks
=> 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 Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees
=> Learning Open Set Network with Discriminative Reciprocal Points
=> Learning OpenCV Computer Vision with the OpenCV Library
=> Learning opposites using neural networks
=> 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
=> 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 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 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 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 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 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 Similarity for Data Clustering
=> Learning pairwise SVM on hierarchical deep features for ear recognition
=> Learning Parallax Attention for Stereo Image Super-Resolution
=> Learning Parallel Canonical Correlations for Scale-Adaptive Low Resolution Face Recognition
=> 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 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-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 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 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 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 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 Photogrammetry with Interactive Software Tool Phox
=> Learning photographic global tonal adjustment with a database of input-output image pairs
=> 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 Physics-Guided Face Relighting Under Directional Light
=> Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation
=> Learning Pixel-Wise Signal Energy for Understanding Semantics
=> Learning Pixel-Wise Signal Energy for Understanding Semantics
=> Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation
=> Learning Policies for Adaptive Tracking with Deep Feature Cascades
=> Learning Policies for Efficiently Identifying Objects of Many Classes
=> 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 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 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 Encodings Through Adversarial Training
=> Learning Probabilistic Approach for Object Segmentation, A
=> Learning Probabilistic Awareness Models for Detecting Abnormalities in Vehicle Motions
=> Learning probabilistic decision trees for AUC
=> 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 Structure for Human Motion Detection
=> Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace From Position Data
=> learning procedure for multisurface method of pattern separation, A
=> Learning Process to the Identification of Feature Points on Chinese Characters, A
=> Learning Process to the Identification of Feature Points on Chinese Characters, A
=> Learning Progressive Joint Propagation for Human Motion Prediction
=> Learning Propagation for Arbitrarily-Structured Data
=> Learning Propagation Rules for Attribution Map Generation
=> 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 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-tags to augment sparse tagging in hybrid music recommender systems
=> Learning Pseudo Bayes Discriminant Method Based on Difference Distribution of Feature Vectors, A
=> Learning Pullback HMM Distances
=> Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
=> Learning Quadratic Discriminant Function for Handwritten Character Classification
=> 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 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 rate schedules for self-organizing maps
=> 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 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 Attraction for Line Segment Detection
=> 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 Regularized, Query-Dependent Bilinear Similarities for Large Scale Image Retrieval
=> Learning relational facts from the web: A tolerance rough set approach
=> Learning Relational Grammars from Sequences of Actions
=> Learning Relations among Movie Characters: A Social Network Perspective
=> Learning Relationship-Aware Visual Features
=> Learning Relationships for Multi-View 3D Object Recognition
=> Learning Relative Aesthetic Quality with a Pairwise Approach
=> 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 Histopathological Image with Quaternion Grassmann Average Network
=> Learning representation from multiple media domains for enhanced event discovery
=> Learning Representational Invariance Instead of Categorization
=> Learning Representations by Predicting Bags of Visual Words
=> Learning Representations for Automatic Colorization
=> 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 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 Images for Face Attribute Manipulation
=> Learning residual refinement network with semantic context representation for real-time saliency object detection
=> 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 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 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 Feature Transformation for Domain Adaptation
=> Learning robust features for gait recognition by Maximum Margin Criterion
=> Learning Robust Graph Regularisation for Subspace Clustering
=> 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 Representations for Computer Vision
=> 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 rotation-aware features: From invariant priors to equivariant descriptors
=> 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 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 Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective
=> Learning Saliency Propagation for Semi-Supervised Instance Segmentation
=> 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 Specific Weights for Late Fusion
=> Learning sample subspace with application to face detection
=> Learning Scalable Discriminative Dictionary with Sample Relatedness
=> Learning scale-variant and scale-invariant features for deep image classification
=> Learning scale ranges for the extraction of regions of interest
=> Learning Scene-Independent Group Descriptors for Crowd Understanding
=> 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 Entries and Exits Using Coherent Motion Regions
=> Learning Scene Semantics Using Fiedler Embedding
=> 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 Segmentation of Documents with Complex Scripts
=> Learning Selective Self-Mutual Attention for RGB-D Saliency Detection
=> Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models
=> Learning Self-Supervised Space-Time CNN for Fast Video Style Transfer
=> Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
=> Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
=> Learning Semantic and Visual Similarity for Endomicroscopy Video Retrieval
=> 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 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 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 by Trajectory Analysis
=> Learning Semantic Scene Models From Observing Activity in Visual Surveillance
=> Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
=> 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 from multimedia content
=> Learning Semantics From Multimedia Web Resources: An Introduction to the Special Issue
=> 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 Separable Filters
=> Learning Separable Filters
=> Learning separable transforms by inverse covariance estimation
=> Learning Separations By Boolean Combinations Of Half-Spaces
=> Learning Separations By Boolean Combinations Of Half-Spaces
=> 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 Setting-Generalized Activity Models for Smart Spaces
=> Learning Shape-Aware Embedding for Scene Text Detection
=> Learning Shape-Classes Using a Mixture of Tree-Unions
=> 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: 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 Defocus
=> Learning shape metrics based on deformations and transport
=> Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect
=> 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 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 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 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 Situation Models in a Smart Home
=> Learning Situational Driving
=> 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 Slow Features for Behaviour Analysis
=> Learning small gallery size for prediction of recognition performance on large populations
=> Learning Smooth Pattern Transformation Manifolds
=> Learning SO(3) Equivariant Representations with Spherical CNNs
=> Learning SO(3) Equivariant Representations with Spherical CNNs
=> 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 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 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 Graphs for Prediction of Multivariate Data Processes
=> 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 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-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
=> Learning Spatial-Spectral Features for Hyperspectral Image Classification
=> Learning spatial-temporal deformable networks for unconstrained face alignment and tracking in videos
=> Learning spatial-temporal features for video copy detection by the combination of CNN and RNN
=> Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
=> 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 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-Smooth Mappings in Non-Rigid Structure From Motion
=> Learning Spatially-Variable Filters for Super-Resolution of Text
=> Learning Spatially Localized, Parts-Based Representation
=> Learning Spatially Regularized Correlation Filters for Visual Tracking
=> Learning spatially regularized similarity for robust visual tracking
=> 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 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 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 Spatiotemporal 3D Convolution with Video Order Self-supervision
=> Learning Spatiotemporal Attention for Egocentric Action Recognition
=> 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 graphs of human activities
=> Learning spatiotemporal representations for human fall detection in surveillance video
=> Learning Spatiotemporal T-Junctions for Occlusion Detection
=> 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 Calibration Parameters for Color Inspection
=> Learning Spectral Descriptors for Deformable Shape Correspondence
=> 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 Splines for Sparse Tomographic Reconstruction
=> Learning Sports Camera Selection From Internet Videos
=> Learning Spread-Out Local Feature Descriptors
=> 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 state machine-based string edit kernels
=> Learning Statistical Correlation of Prostate Deformations for Fast Registration
=> Learning Statistical Structure for Object Detection
=> Learning statistically relevant edge structure improves low-level visual descriptors
=> Learning Steerable Filters for Rotation Equivariant CNNs
=> 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 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 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 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 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 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 dictionaries for image representation
=> 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 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 Style Compatibility for Furniture
=> Learning Style Correlation for Elaborate Few-Shot Classification
=> 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 Super-Resolution Coherent Facial Features Using Nonlinear Multiset PLS for Low-Resolution Face Recognition
=> Learning Super-Resolution Jointly From External and Internal Examples
=> 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 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 SVM in Krein Spaces
=> Learning switching dynamic models for objects tracking
=> Learning symmetric face pose models online using locally weighted projectron regression
=> Learning symmetrical model for head pose estimation
=> Learning Symmetry Consistent Deep CNNs for Face Completion
=> 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 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 Templates for Artistic Portrait Lighting Analysis
=> 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 Context in Active Object Recognition Using Bayesian Analysis
=> Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach
=> 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 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 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 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 Behavior of Users in a Public Space through Video Tracking
=> 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 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 of Object Trajectories for Event Recognition
=> 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 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 Model Update for Siamese Trackers
=> Learning The Morphological Diversity
=> Learning the Multilinear Structure of Visual Data
=> Learning the nature of generalisation errors in a 3D morphable model
=> Learning the Optimal Transformation of Salient Features for Image Classification
=> Learning the Personalized Intransitive Preferences of Images
=> Learning the Principles of Art History with convolutional neural networks
=> Learning the Probability of Correspondences without Ground Truth
=> Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition
=> 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 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 Statistics of People in Images and Video
=> 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 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/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 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 Unseen Abnormal Activities Under Weak Supervision
=> Learning to Adapt: A Method for Automatic Tuning of Algorithm Parameters
=> Learning to Adjust and Refine Gait Patterns for a Biped Robot
=> Learning to Align Images Using Weak Geometric Supervision
=> Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization
=> Learning to Align via Wasserstein for Person Re-Identification
=> Learning to Anonymize Faces for Privacy Preserving Action Detection
=> Learning to Anticipate Egocentric Actions by Imagination
=> Learning to approximate global shape priors for figure-ground segmentation
=> Learning to Assemble Neural Module Tree Networks for Visual Grounding
=> Learning to Assign Orientations to Feature Points
=> Learning to Associate Words and Images Using a Large-Scale Graph
=> Learning to associate: HybridBoosted multi-target tracker for crowded scene
=> Learning to Autofocus
=> 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 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 Calibrate Straight Lines for Fisheye Image Rectification
=> Learning to Caption Images Through a Lifetime by Asking Questions
=> Learning to Capture Light Fields Through a Coded Aperture Camera
=> Learning to Caricature via Semantic Shape Transform
=> Learning to Cartoonize Using White-Box Cartoon Representations
=> Learning to classify by ongoing feature selection
=> 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 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 Collocate Neural Modules for Image Captioning
=> Learning to Combine Bottom-Up and Top-Down Segmentation
=> Learning to Combine Bottom-Up and Top-Down Segmentation
=> Learning to Combine Mid-Level Cues for Object Proposal Generation
=> Learning to Combine: Knowledge Aggregation for Multi-source Domain Adaptation
=> Learning to compare image patches via convolutional neural networks
=> Learning to Compare: Relation Network for Few-Shot Learning
=> Learning to complete partial observations from unpaired prior knowledge
=> Learning to Compose Dynamic Tree Structures for Visual Contexts
=> Learning to Compose Hypercolumns for Visual Correspondence
=> 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 Deblur Adaptive Optics Retinal Images
=> Learning to Deblur Images with Exemplars
=> 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 Rectal Tubes in CT Colonography Using a Global Shape Model
=> Learning to Detect A Salient Object
=> 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 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 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 low-level features
=> 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 in Images via a Sparse, Part-Based Representation
=> 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 Salient Objects with Image-Level Supervision
=> Learning to Detect Scene Text Using a Higher-Order MRF with Belief Propagation
=> 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 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 Discriminate Information for Online Action Detection
=> Learning to Disentangle Latent Physical Factors for Video Prediction
=> Learning to display high dynamic range images
=> Learning to display high dynamic range images
=> Learning to Distill Convolutional Features into Compact Local Descriptors
=> 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 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 Dress 3D People in Generative Clothing
=> Learning to Efficiently Detect Repeatable Interest Points in Depth Data
=> Learning to encode user-generated short videos with lower bitrate and the same perceptual quality
=> 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 Human Pose with Data Driven Belief Propagation
=> Learning to Estimate Indoor Lighting from 3D Objects
=> Learning to Evaluate Image Captioning
=> Learning to Evaluate Perception Models Using Planner-Centric Metrics
=> 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 the Prior Network Knowledge for Weakly Supervised Semantic Segmentation
=> 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 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 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 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 Focus and Discriminate for Fine-Grained Classification
=> Learning to Forecast and Refine Residual Motion for Image-to-Video Generation
=> 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 Proposals from Multiple Scanline Optimizations in Semi-Global Matching
=> 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 images with perceptual similarity metrics
=> 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 Synthetic Data via Compositing
=> 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 Group Objects
=> Learning to Group Text Lines and Regions in Freeform Handwritten Notes
=> Learning to Guide Local Feature Matches
=> Learning to Hash for Personalized Image Authentication
=> Learning to Hash with Binary Deep Neural Network
=> 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 and Track Faces in Image Sequences
=> Learning to Identify and Track Faces in Image Sequences
=> Learning to Identify Facial Expression During Detection Using Markov Decision Process
=> Learning to identify leaders in crowd
=> Learning to Identify While Failing to Discriminate
=> Learning to Imitate Human Movement to Adapt to Environmental Changes
=> 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 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 Jointly Generate and Separate Reflections
=> 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 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 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: Model Regression Networks for Easy Small Sample Learning
=> Learning to lip read words by watching videos
=> 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 Appearances by Correlations in a Covariance Metric Space
=> Learning to Match Images in Large-Scale Collections
=> Learning to Match: Deriving Optimal Template-Matching Algorithms from Probabilistic Image Models
=> Learning to Measure the Static Friction Coefficient in Cloth Contact
=> Learning to Mimic Motion of Human Arm and Hand Grabbing for Constraint Adaptation
=> Learning to Minify Photometric Stereo
=> 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 Objects
=> Learning to Navigate for Fine-Grained Classification
=> 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 SPD Manifolds
=> Learning to Paint With Model-Based Deep Reinforcement Learning
=> 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 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 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 Saliency on Face Images
=> Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model
=> 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 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 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 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 Atlases for Multiple-Atlas Segmentation
=> 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 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 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 Activities from the Wrong View Point
=> 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 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 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 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 Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop
=> 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 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 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 People in Clothing From a Single RGB Camera
=> Learning to Reconstruct Symmetric Shapes using Planar Parameterization of 3D Surface
=> Learning to Reconstruct Symmetric Shapes using Planar Parameterization of 3D Surface
=> Learning to Reconstruct Texture-Less Deformable Surfaces from a Single View
=> Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification
=> 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 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 reflections from windshield images
=> Learning to remove staff lines from music score images
=> Learning to Render Better Image Previews
=> 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 restore deteriorated line drawing
=> Learning to Restore Low-Light Images via Decomposition-and-Enhancement
=> Learning to Sample
=> Learning to Scale Multilingual Representations for Vision-Language Tasks
=> Learning to Score Figure Skating Sport Videos
=> Learning to Score Olympic Events
=> Learning to Search for Objects in Images from Human Gaze Sequences
=> Learning to See by Moving
=> 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
=> Learning to See Through Turbulent Water
=> 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 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 Dynamic Objects using SLAM Outliers
=> 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 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 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 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 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 Dynamic Environments With GameGAN
=> Learning to Sketch with Shortcut Cycle Consistency
=> 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 summarize web image and text mutually
=> Learning to Super-Resolve Blurry Face and Text Images
=> 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 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 Objects Through Unobserved Regions
=> Learning to Track the Visual-Motion of Contours
=> Learning to track with multiple observers
=> Learning to Track: Conceptual Manifold Map for Closed-Form Tracking
=> Learning to Track: Online Multi-object Tracking by Decision Making
=> 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 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 Image Blur
=> Learning to Update for Object Tracking With Recurrent Meta-Learner
=> Learning to Visualize Music Through Shot Sequence for Automatic Concert Video Mashup
=> Learning to Weight Color and Depth for RGB-D Visual Search
=> Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation
=> Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks
=> 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 Topology: Bridging Computational Topology and Machine Learning
=> 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 Dependencies for Human Motion Prediction
=> 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 Architectures for Scalable Image Recognition
=> Learning transferable features in meta-learning for few-shot text classification
=> Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
=> Learning Transformation-Invariant Local Descriptors With Low-Coupling Binary Codes
=> Learning Transformation Synchronization
=> Learning Transformations
=> 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 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-Aware Embeddings for Fashion Compatibility
=> Learning typographic style: from discrimination to synthesis
=> Learning Unbiased Representations via Mutual Information Backpropagation
=> Learning Unbiased Zero-Shot Semantic Segmentation Networks Via Transductive Transfer
=> Learning Uncertain Convolutional Features for Accurate Saliency Detection
=> Learning Unified Embedding for Apparel Recognition
=> 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 Unseen Concepts via Hierarchical Decomposition and Composition
=> Learning Unsupervised and Supervised Representations via General Covariance
=> Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image
=> Learning Unsupervised Video Object Segmentation Through Visual Attention
=> 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 using distance based training algorithm for pattern 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 Video-Story Composition via Recurrent Neural Network
=> Learning Video Features for Multi-label Classification
=> Learning Video Manifold for Segmenting Crowd Events and Abnormality Detection
=> 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 Saliency from Human Gaze Using Candidate Selection
=> Learning Video Stabilization Using Optical Flow
=> 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 Viewpoint Invariant Perceptual Representations from Cluttered Images
=> Learning Virtual HD Model for Bi-model Emotional Speaker Recognition
=> 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 Behavior for Gesture Analysis
=> 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 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 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 Pose Estimation
=> 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 Recognition With Bayesian Networks
=> Learning visual relationship and context-aware attention for image captioning
=> Learning Visual Representations using Images with Captions
=> 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 Storylines with Skipping Recurrent Neural Networks
=> 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 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 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 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 Drive by Watching Others
=> Learning Where to Focus for Efficient Video Object Detection
=> Learning Where to Position Parts in 3D
=> Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring
=> 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 Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation
=> Learning With Average Precision: Training Image Retrieval With a Listwise Loss
=> 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 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 dynamic group sparsity
=> Learning with Few Examples by Transferring Feature Relevance
=> Learning with few examples for binary and multiclass classification using regularization of randomized trees
=> 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 L1-Graph for Image Analysis
=> 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 Missing or Incomplete Data
=> Learning with Multiplicative Perturbations
=> Learning with Noisy Class Labels for Instance Segmentation
=> 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 probabilistic labeling
=> Learning with progressive transductive support vector machine
=> 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 Unsure Data for Medical Image Diagnosis
=> Learning Without Forgetting
=> 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, Modeling, and Classification of Vehicle Track Patterns from Live Video
=> Learning, Recognition and Navigation from a Sequence of Infrared Images
=> Learnt combination in object detector ensembles
=> 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 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 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 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 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 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 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 and Robust Estimation of Local Image Structure
=> 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 texture analysis and synthesis
=> 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 regression framework on manifolds and its application to gesture recognition, A
=> Least squares rigid body fitting of point-sets with unknown correspondences
=> 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 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 location beacon system based on processing of digital images
=> LED: Localization-Quality Estimation Embedded Detector
=> Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces
=> Lednet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
=> 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
=> 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: 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
=> Leica GeoSystems, Geospatial Imaging
=> Leiden Augmented Reality System (LARS), The
=> Leishmaniasis Parasite Segmentation and Classification Using Deep Learning
=> Lemma: A Multi-view Dataset for Learning Multi-agent Multi-task Activities
=> 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-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 Estimators for Digitized Contours
=> Length Increasing Active Contour for the Segmentation of Small Blood Vessels
=> 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
=> 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 collar auto-inspection system, A
=> Lens Distortion Calibration Using Point Correspondences
=> 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 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 system for panoramic imagery
=> 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
=> 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-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 to GEO-SAR Interferences: Modelling and Performance Evaluation
=> Lepp Terminal Centroid Method for Quality Triangulation: A Study on a New Algorithm
=> 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 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 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: 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: Pursuing the Visual Turing Test with the Kuleshov Effect
=> Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation
=> Less Is More: Towards Compact CNNs
=> Less Is More: Video Trimming for Action Recognition
=> Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression
=> LESS: A Model-Based Classifier for Sparse Subspaces
=> Lesson Learned On Monitoring Cultural Heritage At Risk Under Climate Changes: Strategy, Techniques and Results
=> Lessons and Insights from Creating a Synthetic Optical Flow Benchmark
=> Lessons for the Future from a Decade of Informedia Video Analysis Research
=> Lessons from collecting a million biometric samples
=> 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 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 Fall Where They May: Capture Regions of Curved Objects and Polyhedra
=> Let There Be Color! Large-Scale Texturing of 3D Reconstructions
=> 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
=> leucocytes count system from blood smear images, A
=> Leukocyte classifications by size functions
=> Leukocyte image analysis in the diff3 system
=> 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-base compounded logarithmic curve function for colour image enhancement
=> Level-by-Level Adaptive Disparity Compensated Prediction in Wavelet Domain for Stereo Image Coding
=> level-map approach to transform coefficient coding, A
=> 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 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 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 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 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 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 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 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 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 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 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 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 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 Three Synthetic Fingerprint Generation
=> 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 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
=> Levelset and B-Spline Deformable Model Techniques for Image Segmentation: A Pragmatic Comparative Study
=> Levelset R-CNN: A Deep Variational Method for Instance Segmentation
=> Levenberg-Marquardt nonlinear least squares algorithms in C/C++
=> Levenshtein distance for graph spectral features
=> Lever-arm and boresight correction, and field of view determination of a spectroradiometer mounted on an unmanned aircraft system
=> 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 Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure
=> Leveraging Activity Indexing for Egocentric Image Retrieval
=> 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 category-level labels for instance-level image retrieval
=> Leveraging Class Hierarchy in Fashion Classification
=> 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 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 Datasets with Varying Annotations for Face Alignment via Deep Regression Network
=> 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 Electronic Ticketing to Provide Personalized Navigation in a Public Transport Network
=> 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 geometry and appearance cues for recognizing family photos
=> Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting
=> Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition
=> Leveraging High Level Visual Information for Matching Images and Captions
=> 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 intra-class variations to improve large vocabulary gesture recognition
=> Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment
=> Leveraging Large Face Recognition Data for Emotion Classification
=> Leveraging Linguistically-aware Object Relations and NASNet for Image Captioning
=> Leveraging local neighborhood topology for large scale person re-identification
=> 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 driving behaviour data with data mining techniques for driving style analysis
=> 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 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 scale Backbone with Multilevel supervision for Thermal Image Super Resolution
=> Leveraging multiple cues for recognizing family photos
=> Leveraging Multiple Datasets for Deep Leaf Counting
=> 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 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 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 Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval
=> Leveraging recent advances in deep learning for audio-Visual emotion recognition
=> Leveraging Road Characteristics and Contributor Behaviour for Assessing Road Type Quality in OSM
=> Leveraging seed dictionaries to improve dictionary learning
=> Leveraging Seen and Unseen Semantic Relationships for Generative Zero-shot Learning
=> 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 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 Spatial Model to Improve Indoor Tracking
=> 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 Symmetries to Improve Object Detection and Pose Estimation from Range Data
=> Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI
=> Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking
=> Leveraging Temporal Data for Automatic Labelling of Static Vehicles
=> Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video
=> Leveraging the Bayesian Filtering Paradigm for Vision-Based Facial Affective State Estimation
=> Leveraging the Discrete Cosine Basis for Better Motion Modelling in Highly Textured Video Sequences
=> 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 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 Tree Statistics for Extracting Anatomical Trees from 3D Medical Images
=> 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 unpaired out-of-domain data for image captioning
=> 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 concepts and query performance prediction for semantic-theme-based video retrieval
=> Leveraging Visual Question Answering for Image-Caption Ranking
=> Leveraging Weak Semantic Relevance for Complex Video Event Classification
=> Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction
=> 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 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 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 Segment Descriptors for Arabic Handwriting Recognition
=> LF-CAE: Context-Adaptive Encoding for Lenslet Light Fields Using HEVC
=> LF-fusion: Dense and accurate 3D reconstruction from light field images
=> LFHOG: A discriminative descriptor for live face detection from light field image
=> LFIEM: Lightweight Filter-based Image Enhancement Model
=> LFIR2Pose: Pose Estimation from an Extremely Low-resolution FIR image Sequence
=> 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
=> LFW-Gender Dataset, The
=> 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 Iris Access
=> LG: A clustering framework supported by point proximity relations
=> LGCN: Learnable Gabor Convolution Network for Human Gender Recognition in the Wild
=> LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification
=> LGE-KSVD: Robust Sparse Representation Classification
=> LGHD: A feature descriptor for matching across non-linear intensity variations
=> LHI Object Datasets
=> LHI Segmentation Dataset
=> LHI Sports Activity Dataset
=> LHI Surveillance Dataset
=> LHONE: Label Homophily Oriented Network Embedding
=> LIA RT'07 Speaker Diarization System, The
=> LibCVD: computer vision library
=> libE57: software tools for managing E57 files
=> LiberoVision
=> 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
=> 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 Unconstrained Scenarios
=> License plate detection using adaptive morphological closing and local adaptive thresholding
=> License Plate Detection Using Local Structure Patterns
=> 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 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
=> 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-Based 3-D Photosynthetically Active Radiation Model Reveals the Spatiotemporal Variations of Forest Sunlit and Shaded Leaves, A
=> LiDAR-Based Estimates of Canopy Base Height for a Dense Uneven-Aged Structured Forest
=> 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 Lane Marking Extraction Through Intensity Thresholding And Deep Learning Approaches: A Pavement-based Assessment
=> 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 Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention
=> LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
=> LiDAR-Based Solar Mapping for Distributed Solar Plant Design and Grid Integration in San Antonio, Texas
=> LiDAR-data: automatic object detection for urban flooding models.
=> LiDAR-Derived High Quality Ground Control Information and DEM for Image Orthorectification
=> 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-guided dense matching for detecting changes and updating of buildings in Airborne LiDAR data
=> Lidar-incorporated Traffic Sign Detection From Video Log Images Of Mobile Mapping System
=> LiDAR-Landsat data fusion for large-area assessment of urban land cover: Balancing spatial resolution, data volume and mapping accuracy
=> LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
=> 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 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 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 Classification Using Hierarchical K-Means Clustering
=> 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 Derived 3D City Modelling
=> Lidar Estimates of the Anisotropy of Wind Turbulence in a Stable Atmospheric Boundary Layer
=> 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 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 Semantic Information for Outdoor Environment
=> lidar perception scheme for intelligent vehicle navigation, A
=> Lidar Photogrammetry And Its Data Organization
=> 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 Remote Sensing of Seawater Optical Properties: Experiment and Monte Carlo Simulation
=> LiDAR Sampling Density for Forest Resource Inventories in Ontario, Canada
=> LIDAR Scan Registration Robust to Extreme Motions
=> 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 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 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, 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
=> LidarBoost: Depth superresolution for ToF 3D shape scanning
=> Lidarbox: A fast and accurate method for object proposals VIA lidar point clouds for autonomous vehicles
=> Lidars With Narrow FOV for Daylight Measurements
=> LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
=> 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-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 template tracking
=> Lie Bodies: A Manifold Representation of 3D Human Shape
=> Lie group distance based generic 3-d vehicle classification
=> Lie group method: A new approach to image matching with arbitrary orientations
=> 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: Preliminary study on hand gestures for deception detection via Fisher-LSTM
=> 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 Management, Monitoring and Assessment for Safe Large-scale Infrastructures: Challenges and Needs
=> Lifelike talking faces for interactive services
=> Lifelog Exploration Prototype in Virtual Reality
=> Lifelog Scene Change Detection Using Cascades of Audio and Video Detectors
=> Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare
=> Lifelong GAN: Continual Learning for Conditional Image Generation
=> Lifelong Learning via Progressive Distillation and Retrospection
=> Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
=> 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: Multi-Label Learning with Label-Specific Features
=> Lifted road map view on windshield display
=> Lifting-based design of reversible cellular automata for scalable coding of binary images
=> Lifting-Based Directional DCT-Like Transform for Image Coding
=> 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 Object Detections to 3D: A Geometric Approach in Multiple Views
=> 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 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 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
=> Ligature Instabilities in the Perceptual Organization of Shape
=> Ligature Instabilities in the Perceptual Organization of Shape
=> Ligature Modeling for Online Cursive Script Recognition
=> Ligature Modeling for Online Cursive Script Recognition
=> Ligature Segmentation for Urdu OCR
=> Light-Efficient Photography
=> Light-Efficient Photography
=> Light-Field Camera Calibration from Raw Images
=> 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 Journey to Virtual Reality, A
=> Light-Field Surface Color Segmentation with an Application to Intrinsic Decomposition
=> Light-field video coding using geometry-based disparity compensation
=> Light-invariant fitting of active appearance models
=> light-path less traveled, The
=> 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 Distilled Hrnet for Facial Landmark Detection
=> Light-Weight Event-Driven Protocol for Sensor Clustering in Wireless Camera Networks, A
=> Light-Weight Head Pose Invariant Gaze Tracking
=> light-weight HEVC encoder for image coding, A
=> Light-weight Laser Scanner For UAV Applications, A
=> 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 salient foreground detection for embedded smart cameras
=> Light-Weight Sensor Package for Precision 3D Measurement with Micro UAVS e.g. Power-Line Monitoring
=> 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 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 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 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 Blind Motion Deblurring
=> Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution, The
=> 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 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 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 on Off-the-Shelf Mobile GPU
=> 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 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 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 via the Light Field Coherence
=> Light Field Image Restoration for Vision in Scattering Media
=> Light Field Image Super-Resolution Using Deformable Convolution
=> Light Field Inpainting Propagation via Low Rank Matrix Completion
=> 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 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 Rendering for Large-Scale Scenes
=> Light Field Rendering
=> Light Field Saliency Detection With Deep Convolutional Networks
=> Light Field Salient Object Detection via Hybrid Priors
=> 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 through controlled micro-shifts of light field sensor
=> Light field superresolution
=> Light Field Synthesis by Training Deep Network in the Refocused Image Domain
=> 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 and Computational Imaging
=> Light Fields for Computer Vision
=> Light Fields for Computer Vision
=> 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 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 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 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 stripe triangulation for multiple of moving rigid objects
=> 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 Transport Analysis for 3D Photography
=> Light transport component decomposition using multi-frequency illumination
=> 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 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
=> Lightcam: Enlightening the Camera Obscura - Where Photogrammetry, Computer and Robotic Vision Meet
=> Lightening Network for Low-Light Image Enhancement
=> LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement
=> Lighter but Efficient Bit-Depth Expansion Network
=> LighterGAN: An Illumination Enhancement Method for Urban UAV Imagery
=> Lightfield completion
=> Lightfield Recovery from Its Focal Stack
=> LightGBM-based model for metro passenger volume forecasting
=> 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 Aware Preprocessing for Face Recognition across Varying Illumination
=> Lighting Condition Adaptation for Perceived Age Estimation
=> 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 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 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 Sensitive Display
=> Lightless Fields: Enhancement and Denoising of Light-deficient Light Fields
=> Lightness constancy and its link with cone contrast
=> 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 Recovery for Pictorial Surfaces
=> Lightning Activity Observed by the FengYun-4A Lightning Mapping Imager
=> Lightning Detection and Imaging Based on VHF Radar Interferometry
=> Lightning Distance Estimation Using LF Lightning Radio Signals via Analytical and Machine-Learned Models
=> Lightning Location System Detections as Evidence: A Unique Bayesian Framework
=> Lights and Camera: Intelligently Controlled Multi-channel Pose Estimation System
=> 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
=> Lightweight 2D Imaging for Integrated Imaging and Communication Applications
=> Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning
=> Lightweight 3D Modeling of Urban Buildings from Range Data
=> Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution
=> Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution
=> Lightweight and Effective Facial Landmark Detection using Adversarial Learning with Face Geometric Map Generative Network
=> Lightweight and Robust Shadow Removal for Foreground Detection
=> Lightweight Approach for On-the-Fly Reflectance Estimation, A
=> lightweight approach to repairing digitized polygon meshes, A
=> Lightweight Authentication for MP4 Format Container Using Subtitle Track
=> Lightweight boundary refinement module based on point supervision for semantic segmentation
=> Lightweight cascade framework for optic disc segmentation
=> Lightweight Color Image Demosaicking with Multi-Core Feature Extraction
=> Lightweight Conditional Privacy-Preservation Protocol for Vehicular Traffic-Monitoring Systems, A
=> Lightweight Contextual Arithmetic Coder for On-Board Remote Sensing Data Compression, 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 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 Residue Learning for Joint Color Image Demosaicking and Denoising
=> Lightweight Depth Estimation Network for Wide-Baseline Light Fields, A
=> Lightweight Detection of Additive Watermarking in the DWT-Domain
=> Lightweight Discriminative Tracker Based on Classification and Similarity, A
=> Lightweight dynamic conditional GAN with pyramid attention for text-to-image synthesis
=> lightweight face detector by integrating the convolutional neural network with the image pyramid, A
=> Lightweight Face Recognition Challenge
=> Lightweight Face Recognition Challenge
=> Lightweight Face Tracking System for Video Surveillance, A
=> Lightweight Feature Fusion Network for Single Image Super-Resolution
=> 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 Hyperspectral Image Anomaly Detector for Real-Time Mission, A
=> Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles, A
=> Lightweight Image Super-Resolution Reconstruction With Hierarchical Feature-Driven Network
=> 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 Library for Augmented Reality Applications, 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 methodology of 3D printed objects utilizing multi-scale porous structures, A
=> Lightweight mobile object recognition
=> Lightweight Mobile System for Crop Disease Diagnosis, A
=> Lightweight Modules for Efficient Deep Learning Based Image Restoration
=> Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter Pruning
=> Lightweight Monocular Obstacle Avoidance by Salient Feature Fusion
=> lightweight multi-scale aggregated model for detecting aerial images captured by UAVs, A
=> Lightweight Multi-View 3D Pose Estimation Through Camera-Disentangled Representation
=> lightweight multiview tracked person descriptor for camera sensor networks, A
=> lightweight network for monocular depth estimation with decoupled body and edge supervision, A
=> Lightweight Network Model For Video Frame Interpolation Using Spatial Pyramids, A
=> Lightweight Network to Learn Optical Flow from Event Data, A
=> Lightweight Neural Network For Crowd Analysis Of Images With Congested Scenes, A
=> 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 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 Probabilistic Deep Networks
=> Lightweight Probabilistic Texture Retrieval
=> Lightweight Protection of Visual Data Using High-Dimensional Wavelet Parametrization
=> Lightweight Random Ferns using binary representation
=> Lightweight real-time error-resilient encoding of visual sensor data
=> Lightweight SCTP for Partially Reliable Overlay Video Multicast Service for Mobile Terminals, A
=> Lightweight searchable screen video recording
=> Lightweight Single-Camera Polarization Compass with Covariance Estimation, A
=> Lightweight Single-image Super-resolution Network with Attentive Auxiliary Feature Learning
=> 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 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 UAV with on-board photogrammetry and single-frequency GPS positioning for metrology applications
=> Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction
=> 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 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-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
=> Limb-Based Graphical Model for Human Pose Estimation, A
=> 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 Predicting Substrate Classes on a Sedimentary Complex but Morphologically Simple Seabed
=> 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, 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 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 memory switched Broyden method for faster image deblurring
=> 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 the Search Range of Correlation Stereo Using Silhouettes
=> 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 Learning-Based Superresolution Algorithms
=> 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 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
=> 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
=> line- and block-like structures extraction via ingenious snake, The
=> 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 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 Structure from Motion for Urban Environments
=> Line-based visual odometry using local gradient fitting
=> Line-Based, Reduced Memory, Wavelet Image Compression
=> 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: A Mathematical Framework
=> Line-Drawing Interpretation: Bilateral Symmetry
=> 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-Integration Based Method for Depth Recovery from Surface Normals, 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 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 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 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 Images Through Regularized Hough Transform
=> Line Detection Using an Optimal IIR Filter
=> 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
=> 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 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 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 Image Vectorization Based on Shape Partitioning and Merging
=> Line Integral Alternating Minimization Algorithm for Dual-Energy X-Ray CT Image Reconstruction
=> Line Labeling And Region-Segmentation In Stereo Image Pairs
=> Line Localization from Single 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 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 Scratch Detection on Digital Images: An Energy Based Model
=> 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 Scan Matching for Concurrent Mapping and Localization of a Mobile Robot
=> Line Segment Based Watershed Segmentation
=> Line segment confidence region-based string matching method for map conflation
=> Line Segment Detection Algorithm
=> Line Segment Detection with Hough Transform Based on Minimum Entropy
=> Line segment detector
=> Line segment extraction for large scale unorganized point clouds
=> Line Segment Extraction in Panoramic Images
=> 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: 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 Voronoi Diagrams Using Elliptical Distances
=> Line3D: Efficient 3D Scene Abstraction for the Built Environment
=> Lineal Feature Detection Using Multiresolution Wavelet Filters
=> 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-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 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 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 Motion Estimation Using Straight Line Correspondences, 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 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 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 Bilinear Subspace Methods for Structure from Motion
=> Linear and Incremental Acquisition of Invariant Shape Models from Image Sequences
=> 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 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 nonlinear dimensionality reduction for face recognition
=> Linear and Nonlinear Elastic Modulus Imaging: An Application to Breast Cancer Diagnosis
=> 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 array arrangement using composite right-/left-handed transmission lines for magnetic resonance imaging
=> Linear array eye tracker
=> 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 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 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 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 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 of MPF for Face Recognition
=> 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 in Polarimetric SAR Images
=> Linear Feature Detection on GPUs
=> Linear Feature Extraction and Description
=> 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 Extractors Based on Mutual Information
=> 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 filter design for CNR enhancement of MR images with multiple interfering features
=> Linear filtering and mathematical morphology on an image: A bridge
=> 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 for Structure-from-Motion
=> Linear Fitting with Missing Data: Applications to Structure from Motion and to Characterizing Intensity Images
=> 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 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 Global Translation Estimation with Feature Tracks
=> 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 by Sobolev Norms on the Bounded Domain
=> Linear Image Reconstruction Framework Based on Sobolev Type Inner Products, A
=> 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 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 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 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 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 Object Classes and Image Synthesis from a Single Example Image
=> Linear Object Classes and Image Synthesis from a Single Example Image
=> 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 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 Pose Estimation from Points or Lines
=> 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 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 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 Cameras
=> linear quadtree compression scheme for image encryption, A
=> 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 measure steered nearest neighbor classification framework
=> Linear Recursive Non-Local Edge-Aware Filter
=> Linear Regression and Adaptive Appearance Models for Fast Simultaneous Modelling and Tracking
=> Linear Regression for Face Recognition
=> Linear regression motion analysis for unsupervised temporal segmentation of human actions
=> Linear Regression Without Correspondences via Concave Minimization
=> Linear Regularized Compression of Deep Convolutional Neural Networks
=> Linear representation of discrete surfaces in 3D
=> Linear Resolution Enhancement
=> Linear RGB-D SLAM for Planar Environments
=> Linear Scale-Space has First been Proposed in Japan
=> Linear Scale-Space II: Early Visual Operators
=> 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 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 Self-Calibration of a Rotating and Zooming Camera
=> Linear sequence-to-sequence alignment
=> 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 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 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 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 Structures in Mammographic Images: Detection and Classification
=> Linear Subclass Support Vector Machines
=> linear subspace learning approach via sparse coding, A
=> 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 Systems Approach to Imaging Through Turbulence, 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 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 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 Trinocular Rectification Method for Accurate Stereoscopic Matching, A
=> Linear Unmixing in BRDF Reproduction and 3D Shape Recovery
=> 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 with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures
=> 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 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 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
=> LineDiff Entropy: Lossless Layout Data Compression Scheme for Maskless Lithography Systems
=> Lines and Points in Three Views and the Trifocal Tensor
=> Lines in One Orthographic and Two Perspective Views
=> 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 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 Generative Steganography With Enhanced Cognitive-Imperceptibility
=> Linguistic integration information in the aabatas arabic text analysis system
=> Linguistic Landscapes on Street-Level Images
=> Linguistic Methods for the Description of a Straight Line on a Grid
=> Linguistic Steganalysis With Graph Neural Networks
=> Linguistic Steganography: From Symbolic Space to Semantic Space
=> Linguistic Structure Guided Context Modeling for Referring Image Segmentation
=> 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
=> link-analysis-based discriminant analysis for exploring partially labeled graphs, A
=> Link-Based Approach to the Cluster Ensemble Problem, A
=> 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 Shape and Phase, A
=> 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
=> 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
=> Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco
=> 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 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 Heat Source-Sink Landscape Patterns with Analysis of Urban Heat Islands: Study on the Fast-Growing Zhengzhou City in Central China
=> Linking Image and Text with 2-Way Nets
=> Linking Land Surface Phenology and Vegetation-Plot Databases to Model Terrestrial Plant a-Diversity of the Okavango Basin
=> 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 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 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 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: 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 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
=> Lions and Tigers and Bears: Capturing Non-rigid, 3D, Articulated Shape from Images
=> LionVu 2.0 Usability Assessment for Pennsylvania, United States
=> 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 Reading Based on Sampled Active Contour Model
=> 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 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 tracking under varying expressions utilizing domain knowledge
=> LIP: Learning Instance Propagation for Video Object Segmentation
=> LIP: Local Importance-Based Pooling
=> Lippmann photography and the glory of frozen light: Eternal photographic color real and false
=> Lipreading by Locality Discriminant Graph
=> Lipreading from Color Video
=> Lipreading using Fourier transform over time
=> Lipreading Using Recurrent Neural Prediction Model
=> Lipreading with DenseNet and resBi-LSTM
=> Lipreading With Local Spatiotemporal Descriptors
=> Lipreading with Spiking Neurons: One Pass Learning
=> Lipreading with Spiking Neurons: One Pass Learning
=> Lipreading: A Graph Embedding Approach
=> Lips Contour Detection and Tracking Using Watershed Region-Based Active Contour Model and Modified H_inf
=> Lips Recognition for Biometrics
=> 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: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View 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: 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
=> LiSens- A Scalable Architecture for Video Compressive Sensing
=> 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 Motion Correction Using Markerless Head Tracking: Proof-of-Concept With Scans of Human Subject
=> List decoding of Reed Solomon codes for wavelet based colour image watermarking scheme
=> 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
=> Listen and Look: Audio-Visual Matching Assisted Speech Source Separation
=> Listen to Look: Action Recognition by Previewing Audio
=> Listen to the Image
=> 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 with Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines
=> Lit-Sphere extension for artistic rendering
=> LIT: A System and Benchmark for Light Understanding
=> Lite Hourglass Network for Multi-person Pose Estimation
=> LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
=> LiteFlownet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation
=> Literature Explorer: effective retrieval of scientific documents through nonparametric thematic topic detection
=> literature review of action recognition in traffic context, The
=> Literature review of fingerprint quality assessment and its evaluation
=> Literature Review on Driver's Drowsiness and Fatigue Detection
=> literature survey on robust and efficient eye localization in real-life scenarios, A
=> Lithological and Hydrothermal Alteration Mapping of Epithermal, Porphyry and Tourmaline Breccia Districts in the Argentine Andes Using ASTER Imagery
=> 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 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
=> Little Engine That Could: Regularization by Denoising (RED), The
=> Little Fog for a Large Turn, A
=> 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 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 Demonstration: Incremental Motion Estimation for Event-based Cameras by Dispersion Minimisation
=> 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 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 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
=> 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 Enforcing Supervision of Video Streaming Systems Using Nonsequential Petri Nets
=> 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 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
=> LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search
=> Living Structure as an Empirical Measurement of City Morphology
=> Living without Menu Bar: A Shape Retrieval Based Word Editor
=> LLC Revisit: Scene Classification with k-Farthest Neighbours
=> LLCNN: A Convolutional Neural Network for Low-Light Image Enhancement
=> 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
=> LLM Integer Cosine Transform and its Fast Algorithm
=> LLN-based Model-Driven Validation of Data Points for Random Sample Consensus Methods
=> LLNet: A deep autoencoder approach to natural low-light image enhancement
=> 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
=> 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
=> LLVM-based and scalable MPEG-RVC decoder
=> LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
=> LMA-Based Motion Retrieval for Folk Dance Cultural Heritage
=> 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
=> LMR: Learning a Two-Class Classifier for Mismatch Removal
=> LMS-based attack on watermark public detectors
=> LMSCNet: Lightweight Multiscale 3D Semantic Completion
=> LO-Net: Deep Real-Time Lidar Odometry
=> Load-balanced locality-sensitive hashing: A new method for efficient near duplicate image detection
=> load balanced mapping for spiking neural network, 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 Image Alignment Based on Triangular Facet Approximation
=> Local-Aggregation Graph Networks
=> 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 coupled-layer puppet model for robust online human pose tracking, A
=> 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-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-spectrum-based distinction between handwritten and machine-printed characters
=> Local-to-Global Approach to Multi-Modal Movie Scene Segmentation, A
=> Local-to-global mesh saliency
=> Local-to-Global Point Cloud Registration Using a Dictionary of Viewpoint Descriptors
=> Local-to-Global Signature Descriptor for 3D Object Recognition
=> Local-View-Assisted Discriminative Band Selection With Hypergraph Autolearning for Hyperspectral Image Classification
=> Local 2D Pattern Spectra as Connected Region Descriptors
=> 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 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 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 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 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 Geometric Methods for Analysis Interrogation, Reconstruction, Modification and Design of Shape
=> Local and Global Graph Approaches to Image Colorization
=> Local and Global Optimization Techniques in Graph-Based Clustering
=> 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 Non-Local Approximation in Image Processing
=> Local and Nonlocal Discrete Regularization on Weighted Graphs for Image and Mesh Processing
=> 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 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 Attention and Global Representation Collaborating for Fine-grained Classification
=> 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 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 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 characterization of a maximum set of digital (26, 6)-surfaces
=> 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 mapping as remote sensing scene classification using deep learning: A case study of metropolitan China
=> 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 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 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 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 Attention for Salient Object Segmentation
=> 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 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 Tracking and the Magnetic Induction Equation
=> Local correlations, information redundancy, and sufficient pixel depth in natural images
=> Local Correspondence for Detecting Random Forgeries
=> Local Correspondence Network for Weakly Supervised Temporal Sentence Grounding
=> Local Cosine Bases in Two Dimensions
=> 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 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 occlusion boundaries in video
=> Local Detection of Stereo Occlusion Boundaries
=> 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 dip transformation for fast seismic horizon reconstruction
=> 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 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 Distance Functions: A Taxonomy, New Algorithms, and an Evaluation
=> 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 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 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 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 Detector Using 3-Point Matching and Dynamic-Programming
=> Local Feature Discriminant Projection
=> Local feature embedding for supervised image classification
=> 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 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: 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 State of the Art, Open Problems and Performance Evaluation
=> Local Features, All Grown Up
=> 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 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 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 Structure Feature for Dimensionality Reduction of Hyperspectral Imagery
=> Local Geometry Analysis For Image Tampering Detection
=> Local Geometry Inclusive Global Shape Representation
=> 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