Update Dates 2105

2105 * *ICPR
* 117 Line 2D Digital Image Correlation Code Written in MATLAB, A
* 2008-2010 Subsidence of Dallol Volcano on the Spreading Erta Ale Ridge: InSAR Observations and Source Models, The
* 2020 Sequestered Data Evaluation for Known Activities in Extended Video: Summary and Results
* 2D Deep Video Capsule Network with Temporal Shift for Action Recognition
* 2D Discrete Mirror Transform for Image Non-Linear Approximation
* 2D License Plate Recognition based on Automatic Perspective Rectification
* 2D progressive fusion module for action recognition
* 2D+t track detection via relative persistent homology
* 3CS Algorithm for Efficient Gaussian Process Model Retrieval
* 3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks
* 3D Audio-Visual Speaker Tracking with A Novel Particle Filter
* 3D conditional generative adversarial network-based synthetic medical image augmentation for lung nodule detection
* 3D Dental Biometrics: Automatic Pose-invariant Dental Arch Extraction and Matching
* 3D Face Reconstruction From A Single Image Assisted by 2D Face Images in the Wild
* 3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties
* 3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint
* 3D Point Cloud Registration Based on Cascaded Mutual Information Attention Network
* 3D Pots Configuration System by Optimizing over Geometric Constraints
* 3D Reconstruction and Geostatic Analysis of an Early Medieval Cemetery (Olonne-sur-Mer, France)
* 3D Semantic Labeling of Photogrammetry Meshes Based on Active Learning
* 4-Year Climatological Analysis Based on GPM Observations of Deep Convective Events in the Mediterranean Region, A
* 46-Year (1973-2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification
* 5D Light Field Synthesis from a Monocular Video
* 6D Pose Estimation with Correlation Fusion
* ACCLVOS: Atrous Convolution with Spatial-Temporal ConvLSTM for Video Object Segmentation
* Accuracy-Perturbation Curves for Evaluation of Adversarial Attack and Defence Methods
* Accurate 6DOF Pose Tracking for Texture-Less Objects
* Accurate Background Subtraction Using Dynamic Object Presence Probability in Sports Scenes
* Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks
* Accurate Threshold Insensitive Kernel Detector for Arbitrary Shaped Text, An
* Acoustic Seafloor Classification Using the Weyl Transform of Multibeam Echosounder Backscatter Mosaic
* Acquisition of the Width of a Virtual Body through Collision Avoidance Trials
* ACRM: Attention Cascade R-CNN with Mix-NMS for Metallic Surface Defect Detection
* Action Recognition Using Pose Data in a Distributed Environment over the Edge and Cloud
* ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos
* Activation Density Driven Efficient Pruning in Training
* Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization
* Activity and Relationship Modeling Driven Weakly Supervised Object Detection
* Activity Recognition Using First-Person-View Cameras Based on Sparse Optical Flows
* ACTNET: End-to-End Learning of Feature Activations and Multi-stream Aggregation for Effective Instance Image Retrieval
* AdaFilter: Adaptive Filter Design with Local Image Basis Decomposition for Optimizing Image Recognition Preprocessing
* Adaptive Channel Selection for Robust Visual Object Tracking with Discriminative Correlation Filters
* Adaptive Context-Aware Discriminative Correlation Filters for Robust Visual Object Tracking
* Adaptive Distillation for Decentralized Learning from Heterogeneous Clients
* Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation
* Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets
* Adaptive Fusion Model Based on Kalman Filtering and LSTM for Fast Tracking of Road Signs, An
* Adaptive Image Compression Using GAN based Semantic-perceptual Residual Compensation
* Adaptive L2 Regularization in Person Re-Identification
* Adaptive Matching of Kernel Means
* Adaptive Model for Face Distortion Correction, An
* Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers
* Adaptive Remote Sensing Image Attribute Learning for Active Object Detection
* Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification
* Adaptive Video-to-Video Face Identification System Based on Self-Training, An
* Adaptive Waveform Design with Multipath Exploitation Radar in Heterogeneous Environments
* Adaptive Word Embedding Module for Semantic Reasoning in Large-scale Detection
* Advanced Power Line Diagnostics Using Point Cloud Data: Possible Applications and Limits
* Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes
* Adversarial Knowledge Distillation for a Compact Generator
* Adversarial robustness via attention transfer
* Adversarial Training for Aspect-Based Sentiment Analysis with BERT
* Adversarially Constrained Interpolation for Unsupervised Domain Adaptation
* Adversarially Training for Audio Classifiers
* AdvHat: Real-World Adversarial Attack on ArcFace Face ID System
* Aerial Mapping of Odorous Gases in a Wastewater Treatment Plant Using a Small Drone
* Aerial Road Segmentation in the Presence of Topological Label Noise
* AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features
* Aerosol Characterization during the Summer 2017 Huge Fire Event on Mount Vesuvius (Italy) by Remote Sensing and In Situ Observations
* AG-GAN: An Attentive Group-Aware GAN for pedestrian trajectory prediction
* Age Gap Reducer-GAN for Recognizing Age-Separated Faces
* Aggregated residual transformation network for multistage classification in diabetic retinopathy
* Aggregating Dependent Gaussian Experts in Local Approximation
* Aggregating Object Features Based on Attention Weights for Fine-Grained Image Retrieval
* AI-Based Susceptibility Analysis of Shallow Landslides Induced by Heavy Rainfall in Tianshui, China
* Air-Writing with Sparse Network of Radars using Spatio-Temporal Learning
* Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals, The
* Algorithm Recommendation for Data Streams
* Ambient Seismic Noise and Microseismicity Monitoring of a Prone-To-Fall Quartzite Tower (Ormea, NW Italy)
* Ambiguity Suppression Based on Joint Optimization for Multichannel Hybrid and +/-pi/4 Quad-Pol SAR Systems
* Ambiguous Agricultural Drought: Characterising Soil Moisture and Vegetation Droughts in Europe from Earth Observation
* Analysing the Impact of Climate Change on Hydrological Ecosystem Services in Laguna del Sauce (Uruguay) Using the SWAT Model and Remote Sensing Data
* Analysis of BDS/GPS Signals' Characteristics and Navigation Accuracy for a Geostationary Satellite
* Analysis of brain-facial muscle connection in the static fractal visual stimulation
* Analysis of the Response of Long-Term Vegetation Dynamics to Climate Variability Using the Pruned Exact Linear Time (PELT) Method and Disturbance Lag Model (DL
* Analysis Ready Data of the Chinese GaoFen Satellite Data
* Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks
* Ancient Document Layout Analysis: Autoencoders meet Sparse Coding
* Angle Effect on Typical Optical Remote Sensing Indices in Vegetation Monitoring
* Angular Sparsemax for Face Recognition
* Angus Cattle Recognition Using Deep Learning
* Anime Sketch Colorization by Component-based Matching using Deep Appearance Features and Graph Representation
* Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations
* Anomaly Detection, Localization and Classification for Railway Inspection
* Answer-checking in Context: A Multi-modal Fully Attention Network for Visual Question Answering
* Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels
* Anticipating Activity from Multimodal Signals
* AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network
* Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications
* Application and Evaluation of a Deep Learning Architecture to Urban Tree Canopy Mapping
* Application of an Unmanned Aerial System and Machine Learning Techniques for Red Clover-Grass Mixture Yield Estimation under Variety Performance Trials, The
* Application of Capsule Neural Network Based CNN for Speech Emotion Recognition, The
* Application of UAV and GB-SAR in Mechanism Research and Monitoring of Zhonghaicun Landslide in Southwest China
* Application of UAV for the Analysis of Geological Hazard in Krk Island, Croatia, Mediterranean Sea, The
* Applying (3+2+1)D Residual Neural Network with Frame Selection for Hong Kong Sign Language Recognition
* Approach for Document Detection by Contours and Contrasts
* Arbitrary Style Transfer with Parallel Self-Attention
* ARCADe: A Rapid Continual Anomaly Detector
* Archaeologic Machine Learning for Shipwreck Detection Using Lidar and Sonar
* Are Multiple Cross-Correlation Identities better than just Two? Improving the Estimate of Time Differences-of-Arrivals from Blind Audio Signals
* Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?
* Artificial and beneficial: Exploiting artificial images for aerial vehicle detection
* Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients, An
* Assessing an Atmospheric Correction Algorithm for Time Series of Satellite-Based Water-Leaving Reflectance Using Match-Up Sites in Australian Coastal Waters
* Assessing Marginal Shallow-Water Bathymetric Information Content of Lidar Sounding Attribute Data and Derived Seafloor Geomorphometry
* Assessing Spatial Variation in Algal Productivity in a Tropical River Floodplain Using Satellite Remote Sensing
* Assessing the Impact of Light/Shallow Precipitation Retrievals from Satellite-Based Observations Using Surface Radar and Micro Rain Radar Observations
* Assessing the Severity of Health States based on Social Media Posts
* Assessing Wildfire Burn Severity and Its Relationship with Environmental Factors: A Case Study in Interior Alaska Boreal Forest
* Assessment of Land Degradation in Semiarid Tanzania: Using Multiscale Remote Sensing Datasets to Support Sustainable Development Goal 15.3
* Assessment of Merged Satellite Precipitation Datasets in Monitoring Meteorological Drought over Pakistan
* Assessment of Normalized Water-Leaving Radiance Derived from GOCI Using AERONET-OC Data
* Assessment of Rangeland Degradation in New Mexico Using Time Series Segmentation and Residual Trend Analysis (TSS-RESTREND)
* Assessment of the EUMETSAT Multi Decadal Land Surface Albedo Data Record from Meteosat Observations
* Assessment of Tropospheric Concentrations of NO2 from the TROPOMI/Sentinel-5 Precursor for the Estimation of Long-Term Exposure to Surface NO2 over South Korea
* Assessment of Vegetation Dynamics and Ecosystem Resilience in the Context of Climate Change and Drought in the Horn of Africa
* Assortative-Constrained Stochastic Block Models
* Astrape: A System for Mapping Severe Abiotic Forest Disturbances Using High Spatial Resolution Satellite Imagery and Unsupervised Classification
* ATA: Attentional Non-Linear Activation Function Approximation for VLSI-Based Neural Networks
* Atmospheric Blocking Pattern Recognition in Global Climate Model Simulation Data
* Attack Agnostic Adversarial Defense via Visual Imperceptible Bound
* Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning
* AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies
* Attention as Activation
* Attention aware cost volume pyramid based multi-view stereo network for 3D reconstruction
* Attention Based Coupled Framework for Road and Pothole Segmentation
* Attention Based Multi-Instance Thyroid Cytopathological Diagnosis with Multi-Scale Feature Fusion
* Attention Based Pruning for Shift Networks
* Attention fusion network for multi-spectral semantic segmentation
* Attention Pyramid Module for Scene Recognition
* Attention Stereo Matching Network
* Attention-Based Deep Metric Learning for Near-Duplicate Video Retrieval
* Attention-based Model with Attribute Classification for Cross-domain Person Re-identification
* Attention-based Selection Strategy for Weakly Supervised Object Localization
* Attention-Driven Body Pose Encoding for Human Activity Recognition
* Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction
* Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks
* Attentional Wavelet Network for Traditional Chinese Painting Transfer
* AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks
* Attentive Hybrid Feature with Two-Step Fusion for Facial Expression Recognition
* Attentive Part-aware Networks for Partial Person Re-identification
* Attentive Visual Semantic Specialized Network for Video Captioning
* Attenuation of Seismic Multiples in Very Shallow Water: An Application in Archaeological Prospection Using Data Driven Approaches
* Attribute-based quality assessment for demographic estimation in face videos
* Attribute-Guided Feature Learning for Few-Shot Image Recognition
* Attributes Aware Face Generation with Generative Adversarial Networks
* Audio-based Near-Duplicate Video Retrieval with Audio Similarity Learning
* Audio-Video detection of the active speaker in meetings
* Audio-Visual Predictive Coding for Self-Supervised Visual Representation Learning
* Audio-Visual Speech Recognition Using A Two-Step Feature Fusion Strategy
* Augmentation of Small Training Data Using GANs for Enhancing the Performance of Image Classification
* Augmented Bi-path Network for Few-shot Learning
* Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation
* Auto Encoding Explanatory Examples with Stochastic Paths
* automated and fast system to identify COVID-19 from X-ray radiograph of the chest using image processing and machine learning, An
* Automated Whiteboard Lecture Video Summarization by Content Region Detection and Representation
* Automatic Annotation of Corpora For Emotion Recognition Through Facial Expressions Analysis
* Automatic Classification of Human Granulosa Cells in Assisted Reproductive Technology using vibrational spectroscopy imaging
* Automatic Creation of Storm Impact Database Based on Video Monitoring and Convolutional Neural Networks
* Automatic detection and localization of COVID-19 pneumonia using axial computed tomography images and deep convolutional neural networks
* Automatic Detection of Stationary Waves in the Venus Atmosphere Using Deep Generative Models
* Automatic Estimation of Self-Reported Pain by Interpretable Representations of Motion Dynamics
* Automatic Semantic Segmentation of Structural Elements related to the Spinal Cord in the Lumbar Region by using Convolutional Neural Networks
* Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features
* Automatic Student Network Search for Knowledge Distillation
* Automatic Tuberculosis Detection Using Chest X-ray Analysis With Position Enhanced Structural Information
* Automatic Virtual 3D City Generation for Synthetic Data Collection
* Automatical Enhancement and Denoising of Extremely Low-light Images
* Automatically Gather Address Specific Dwelling Images Using Google Street View
* Automatically mining Relevant Variable Interactions Via Sparse Bayesian Learning
* AV-SLAM: Autonomous Vehicle SLAM with Gravity Direction Initialization
* AVAE: Adversarial Variational Auto Encoder
* AVD-Net: Attention Value Decomposition Network For Deep Multi-Agent Reinforcement Learning
* Background Invariance by Adversarial Learning
* Ballroom Dance Recognition from Audio Recordings
* Base-Derivative Framework for Cross-Modality RGB-Infrared Person Re-Identification, A
* BAT Optimized CNN Model Identifies Water Stress in Chickpea Plant Shoot Images
* Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem
* Bayesian Active Learning for Maximal Information Gain on Model Parameters
* Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control, A
* Bayesian Deep CNN Framework for Reconstructing k-t-Undersampled Resting-fMRI, A
* BBC++: Enhanced Block Boundary Continuity on Defining Non-Additive Distortion for JPEG Steganography
* BCAU-Net: A Novel Architecture with Binary Channel Attention Module for MRI Brain Segmentation
* Benchmark Dataset for Segmenting Liver, Vasculature and Lesions from Large-scale Computed Tomography Data, A
* Benchmarking Cameras for Open VSLAM Indoors
* Better Prior Knowledge Improves Human-Pose-Based Extrinsic Camera Calibration
* Beyond Cross-Entropy: Learning Highly Separable Feature Distributions for Robust and Accurate Classification
* Beyond the Deep Metric Learning: Enhance the Cross-Modal Matching with Adversarial Discriminative Domain Regularization
* BG-Net: Boundary-Guided Network for Lung Segmentation on Clinical CT Images
* Bi-hemispherical Canopy Reflectance Model with Surface Heterogeneity Effects for the Estimation of LAI and fAPAR from MODIS White-Sky Spectral Albedo Data
* Bidirectional Matrix Feature Pyramid Network for Object Detection
* BiLuNet: A Multi-path Network for Semantic Segmentation on X-ray Images
* Biometric recognition using wearable devices in real-life settings
* Blind Omnidirectional Image Quality Assessment With Viewport Oriented Graph Convolutional Networks
* Body Part Regression With Self-Supervision
* Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution
* Boundaries of Single-Class Regions in the Input Space of Piece-Wise Linear Neural Networks
* Boundary bagging to address training data issues in ensemble classification
* Boundary graph convolutional network for temporal action detection
* Boundary guided image translation for pose estimation from ultra-low resolution thermal sensor
* Boundary Optimised Samples Training for Detecting Out-of-Distribution Images
* Boundary-aware Distillation Network for Compressed Video Semantic Segmentation, A
* Boundary-aware Graph Convolution for Semantic Segmentation
* BP-net: deep learning-based superpixel segmentation for RGB-D image
* Brain tumor diagnosis based on metaheuristics and deep learning
* Brain-Media Deep Framework Towards Seeing Imaginations Inside Brains, A
* Breast Anatomy Enriched Tumor Saliency Estimation
* Bridging the gap between Natural and Medical Images through Deep Colorization
* Broad Forest: A Non-Neural Network Style Broad Model for Streaming Video QoE Evaluation
* Budgeted Batch Mode Active Learning with Generalized Cost and Utility Functions
* Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric Learning
* Building outlier detection ensembles by selective parameterization of heterogeneous methods
* Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework
* CAggNet: Crossing Aggregation Network for Medical Image Segmentation
* Calibration and Absolute Pose Estimation of Trinocular Linear Camera Array for Smart City Applications
* Cam-softmax for discriminative deep feature learning
* Camera Calibration Using Parallel Line Segments
* Can Commercial Low-Cost Drones and Open-Source GIS Technologies Be Suitable for Semi-Automatic Weed Mapping for Smart Farming? A Case Study in NE Italy
* Can data placement be effective for Neural Networks classification tasks? Introducing the Orthogonal Loss
* Can Reinforcement Learning Lead to Healthy Life?: Simulation Study Based on User Activity Logs
* Can you really trust the sensor's PRNU? How image content might impact the finger vein sensor identification performance
* Can You Trust Your Pose? Confidence Estimation in Visual Localization
* Cancelable Biometrics Vault: A Secure Key-Binding Biometric Cryptosystem based on Chaffing and Winnowing
* CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification
* Capacity of the PERSIANN-CDR Product in Detecting Extreme Precipitation over Huai River Basin, China
* CardioGAN: An Attention-based Generative Adversarial Network for Generation of Electrocardiograms
* CARRADA Dataset: Camera and Automotive Radar with Range- Angle- Doppler Annotations
* Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation
* Cascade Saliency Attention Network for Object Detection in Remote Sensing Images
* CASNet: Common Attribute Support Network for image instance and panoptic segmentation
* Categorizing the feature space for two-class imbalance learning
* CausalX: Causal eXplanations and Block Multilinear Factor Analysis
* CC-Loss: Channel Correlation Loss for Image Classification
* CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection
* CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
* Center pivot field delineation and mapping: A satellite-driven object-based image analysis approach for national scale accounting
* CenterRepp: Predict Central Representative Point Set's Distribution For Detection
* Centroid Error Analysis of Beacon Tracking under Atmospheric Turbulence for Optical Communication Links
* Certifiable relative pose estimation
* Changes in Ecosystems and Ecosystem Services in the Guangdong-Hong Kong-Macao Greater Bay Area since the Reform and Opening Up in China
* Changes in the Greenness of Mountain Pine (Pinus mugo Turra) in the Subalpine Zone Related to the Winter Climate
* Channel Planting for Deep Neural Networks using Knowledge Distillation
* Channel-Wise Dense Connection Graph Convolutional Network for Skeleton-Based Action Recognition
* Chaos-based Video Steganography Method in Discrete Cosine Transform Domain
* Characterisation of the Historic Urban Landscape through the Aristotelian Four Causes: Towards Comprehensive GIS Databases
* cheaper Rectified-Nearest-Feature-Line-Segment classifier based on safe points, A
* Chebyshev-Harmonic-Fourier-Moments and Deep CNNs for Detecting Forged Handwriting
* Citizen Science Tools Reveal Changes in Estuarine Water Quality Following Demolition of Buildings
* CKG: Dynamic Representation Based on Context and Knowledge Graph
* Class Conditional Alignment for Partial Domain Adaptation
* Class knowledge overlay to visual feature learning for zero-shot image classification
* Class-incremental Learning with Pre-allocated Fixed Classifiers
* Class-Incremental Learning with Topological Schemas of Memory Spaces
* Classification and feature selection using a primal-dual method and projection on structured constraints
* Classification of Intestinal Gland Cell-Graphs Using Graph Neural Networks
* Classification of spatially enriched pixel time series with convolutional neural networks
* Classifier Pool Generation based on a Two-level Diversity Approach
* Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline
* Classifying Eye-Tracking Data Using Saliency Maps
* Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data
* Climate and Socioeconomic Factors Drive Irrigated Agriculture Dynamics in the Lower Colorado River Basin
* CLNet: Cross-Layer Convolutional Neural Network for Change Detection in Optical Remote Sensing Imagery
* Close Look at Deep Learning with Small Data, A
* Cloud Phase Recognition Based on Oxygen A Band and CO2 1.6 m Band
* Cluster-size constrained network partitioning
* Clusterface: Joint Clustering and Classification for Set-Based Face Recognition
* Clustering online handwritten mathematical expressions
* cmSalGAN: RGB-D Salient Object Detection With Cross-View Generative Adversarial Networks
* CNN-based repetitive self-revised learning for photos' aesthetics imbalanced classification
* CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata, A
* Coarse to Fine: Progressive and Multi-Task Learning for Salient Object Detection
* Coarse-to-fine Foreground Segmentation based on Co-occurrence Pixel-Block and Spatio-Temporal Attention Model
* Cognitive data augmentation for adversarial defense via pixel masking
* Coherence and Identity Learning for Arbitrary-length Face Video Generation
* Coherent Integration Loss Due to Nonstationary Phase Noise in High-Resolution Millimeter-Wave Radars
* Collaborative Human Machine Attention Module for Character Recognition
* Collaborative Ontology Development and its Use for Video Annotation in Elderly Care Domain
* Color Cast Dependent Image Dehazing via Adaptive Airlight Refinement and Non-Linear Color Balancing
* color out of space: learning self-supervised representations for Earth Observation imagery, The
* Color Texture Description Based on Holistic and Hierarchical Order-Encoding Patterns
* Color, Edge, and Pixel-wise Explanation of Predictions Based on Interpretable Neural Network Model
* Combination of Sentinel-2 and PALSAR-2 for Local Climate Zone Classification: A Case Study of Nanchang, China
* Combined Invariants to Gaussian Blur and Affine Transformation
* Combining Deep and Ad-hoc Solutions to Localize Text Lines in Ancient Arabic Document Images
* Combining GANs and AutoEncoders for efficient anomaly detection
* Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas
* Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification
* Combining Thermal and RGB Imaging Indices with Multivariate and Data-Driven Modeling to Estimate the Growth, Water Status, and Yield of Potato under Different Drip Irrigation Regimes
* Common-covariance based person re-identification model
* Compact and Cancelable Fingerprint Binary Codes Generation via One Permutation Hashing
* Compact and discriminative multi-object tracking with siamese CNNs
* Compact CNN Structure Learning by Knowledge Distillation
* Compact Interchannel Sampling Difference Descriptor for Color Texture Classification
* Comparison of Accuracy of Surface Temperature Images from Unmanned Aerial Vehicle and Satellite for Precise Thermal Environment Monitoring of Urban Parks Using In Situ Data
* Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging
* Comparison of deep learning and hand crafted features for mining simulation data
* Comparison of Neural Network Approaches for Melanoma Classification, A
* Comparison of Numerical Calculation Methods for Stem Diameter Retrieval Using Terrestrial Laser Data
* Comparison of Satellite Driven Surface Energy Balance Models in Estimating Crop Evapotranspiration in Semi-Arid to Arid Inter-Mountain Region
* Comparison of Stacking-based Classifier Ensembles using Euclidean and Riemannian Geometries
* Comparison of Target Detectors to Identify Icebergs in Quad-Polarimetric L-Band Synthetic Aperture Radar Data
* Comparison of Vertically Integrated Fluxes of Atmospheric Water Vapor According to Satellite Radiothermovision, Radiosondes, and Reanalysis
* Comparison of Wintertime Atmospheric Boundary Layer Heights Determined by Tethered Balloon Soundings and Lidar at the Site of SACOL, A
* Compilation of Snow Cover Datasets for Svalbard: A Multi-Sensor, Multi-Model Study, A
* Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach
* Complex-Object Visual Inspection: Empirical Studies on A Multiple Lighting Solution
* Composited FishNet: Fish Detection and Species Recognition From Low-Quality Underwater Videos
* Compression of YOLOv3 via Block-Wise and Channel-Wise Pruning for Real-Time and Complicated Autonomous Driving Environment Sensing Applications
* Compression Priors Assisted Convolutional Neural Network for Fractional Interpolation
* Compression strategies and space-conscious representations for deep neural networks
* Compressive Underwater Sonar Imaging with Synthetic Aperture Processing
* Computational Data Analysis for First Quantization Estimation on JPEG Double Compressed Images
* Computational Media Intelligence: Human-Centered Machine Analysis of Media
* Computing stable resultant-based minimal solvers by hiding a variable
* Concept Embedding through Canonical Forms: A Case Study on Zero-Shot ASL Recognition
* Concurrent Firing Light Detection and Ranging System for Autonomous Vehicles
* Conditional Multi-Task learning for Plant Disease Identification
* Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables
* CondNet: Conditional Classifier for Scene Segmentation
* Confidence Calibration for Deep Renal Biopsy Immunofluorescence Image Classification
* Conjurer of Compression: From WinZips to cat GIFs, JACOB ZIV's algorithms have been making data disappear and reappear for decades
* Constrained Spectral Clustering Network with Self-Training
* Constructing Adaptive Deformation Models for Estimating DEM Error in SBAS-InSAR Based on Hypothesis Testing
* Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting
* Construction worker hardhat-wearing detection based on an improved BiFPN
* Content-Sensitive Superpixels Based on Adaptive Regrowth
* Context Aware Group Activity Recognition
* Context for Object Detection via Lightweight Global and Mid-level Representations
* Context Matters: Self-Attention for Sign Language Recognition
* Context Visual Information-based Deliberation Network for Video Captioning
* Context-Aware Human Trajectories Prediction via Latent Variational Model
* Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset
* Context-Aware Residual Module for Image Classification
* Context-Enhanced Representation Learning for Single Image Deraining
* Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks
* Continuous Learning of Face Attribute Synthesis
* Continuous Sign Language Recognition with Iterative Spatiotemporal Fine-tuning
* Contrastive Data Learning for Facial Pose and Illumination Normalization
* Controllable Face Aging
* ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition
* Convolutional capsule network for COVID-19 detection using radiography images
* Convolutional Feature Transfer via Camera-Specific Discriminative Pooling for Person Re-Identification
* Convolutional STN for Weakly Supervised Object Localization
* Correlation-based ConvNet for Small Object Detection in Videos
* Cost Volume Refinement for Depth Prediction
* Cost-Effective Adversarial Attacks against Scene Text Recognition
* Countering Anti-forensics of SIFT-based Copy-Move Detection
* Coupled Knowledge Transfer for Visual Data Recognition
* Coupling of Dual Channel Waveform ALS and Sonar for Investigation of Lake Bottoms and Shore Zones
* Covariation of Passive-Active Microwave Measurements over Vegetated Surfaces: Case Studies at L-Band Passive and L-, C- and X-Band Active
* COVID-19 vs influenza viruses: A cockroach optimized deep neural network classification approach
* CQNN: Convolutional Quadratic Neural Networks
* Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
* Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification
* Crop Yield Prediction Based on Agrometeorological Indexes and Remote Sensing Data
* Cross Domain Multi-modal Dataset for Robust Face Anti-spoofing, A
* Cross-Domain Semantic Segmentation of Urban Scenes via Multi-Level Feature Alignment
* Cross-Layer Feature Pyramid Network for Salient Object Detection
* Cross-layer Information Refining Network for Single Image Super-Resolution
* Cross-Lingual Text Image Recognition via Multi-Task Sequence to Sequence Learning
* Cross-Media Hash Retrieval Using Multi-Head Attention Network
* Cross-modal context-gated convolution for multi-modal sentiment analysis
* Cross-People Mobile-Phone Based Airwriting Character Recognition
* Cross-Regional Attention Network for Point Cloud Completion
* Cross-spectrum Face Recognition Using Subspace Projection Hashing
* Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks
* Cross-View Relation Networks for Mammogram Mass Detection
* Crowdsourced Verification for Operating Calving Surveillance Systems at an Early Stage
* Crustal Structure of the Nile Delta: Interpretation of Seismic-Constrained Satellite-Based Gravity Data
* CscGAN: Conditional Scale-Consistent Generation Network for Multi-Level Remote Sensing Image to Map Translation
* CSpA-DN: Channel and Spatial Attention Dense Network for Fusing PET and MRI Images
* CT-UNet: An Improved Neural Network Based on U-Net for Building Segmentation in Remote Sensing Images
* Curiosity Guided Fine-Tuning for Encoder-Decoder-Based Visual Forecasting
* CURL: Neural Curve Layers for Global Image Enhancement
* Cut and Compare: End-to-end Offline Signature Verification Network
* Cycle-Consistent Adversarial Networks and Fast Adaptive Bi-dimensional Empirical Mode Decomposition for Style Transfer
* CYGNSS Mission: On-Going Science Team Investigations, The
* D3Net: Joint Demosaicking, Deblurring and Deringing
* DA-RefineNet: Dual-inputs Attention RefineNet for Whole Slide Image Segmentation
* DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting
* DAIL: Dataset-Aware and Invariant Learning for Face Recognition*
* Daily Traffic Flow Forecasting Through a Contextual Convolutional Recurrent Neural Network Modeling Inter- and Intra-Day Traffic Patterns
* DAL: A Deep Depth-Aware Long-term Tracker
* DAPC:Domain Adaptation People Counting via Style-level Transfer Learning and Scene-aware Estimation
* DARN: Deep Attentive Refinement Network for Liver Tumor Segmentation from 3D CT volume
* Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery
* Data Normalization for Bilinear Structures in High-Frequency Financial Time-series
* Data-Driven Approaches for Tornado Damage Estimation with Unpiloted Aerial Systems
* DCT/IDCT Filter Design for Ultrasound Image Filtering
* DDRNet: Fast point cloud registration network for large-scale scenes
* DE-Net: Dilated Encoder Network for Automated Tongue Segmentation
* Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images
* Debris Flow and Rockslide Analysis with Advanced Photogrammetry Techniques Based on High-Resolution RPAS Data. Ponte Formazza Case Study (NW Alps)
* Decentralized TD(0) With Gradient Tracking
* Decision Snippet Features
* Decoupled Self-attention Module for Person Re-identification
* Deep Collaborative Discrete Hashing With Semantic-Invariant Structure Construction
* Deep Composer: A Hash-Based Duplicative Neural Network For Generating Multi-Instrument Songs
* Deep Convolutional Denoising Autoencoders with Network Structure Optimization for the High-Fidelity Attenuation of Random GPR Noise
* Deep Convolutional Embedding for Digitized Painting Clustering
* Deep Fusion of RGB and NIR Paired Images Using Convolutional Neural Networks
* Deep Gait Relative Attribute using a Signed Quadratic Contrastive Loss
* Deep Homography-Based Video Stabilization
* Deep Iterative Residual Convolutional Network for Single Image Super-Resolution
* Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response
* deep learning approach for the segmentation of myocardial diseases, A
* Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing
* Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset
* Deep Learning for Monitoring Agricultural Drought in South Asia Using Remote Sensing Data
* Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy, A
* Deep learning in the ultrasound evaluation of neonatal respiratory status
* deep learning model for mass screening of COVID-19, A
* Deep Learning Model Using Satellite Ocean Color and Hydrodynamic Model to Estimate Chlorophyll-a Concentration, A
* Deep Learning Network Intensification for Preventing Noisy-Labeled Samples for Remote Sensing Classification
* Deep Learning on Active Sonar Data Using Bayesian Optimization for Hyperparameter Tuning
* Deep Learning-Based Method for Predicting Volumes of Nasopharyngeal Carcinoma for Adaptive Radiation Therapy Treatment, A
* Deep Learning-based Type Identification of Volumetric MRI Sequences
* Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans
* Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing
* Deep multimodal learning for cross-modal retrieval: One model for all tasks
* Deep Multiple Instance Learning with Spatial Attention for ROP Case Classification, Instance Selection and Abnormality Localization
* Deep Next-Best-View Planner for Cross-Season Visual Route Classification
* Deep Ordinal Regression with Label Diversity
* Deep Photo Relighting by Integrating Both 2D and 3D Lighting Information
* Deep Real-time Hand Detection Using CFPN on Embedded Systems
* Deep Realistic Novel View Generation for City-Scale Aerial Images
* Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans
* Deep Reinforcement Learning for Autonomous Driving by Transferring Visual Features
* Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer
* Deep Residual Attention Network for Hyperspectral Image Reconstruction
* Deep Space Probing for Point Cloud Analysis
* Deep Superpixel Cut for Unsupervised Image Segmentation
* Deep Top-rank Counter Metric for Person Re-identification
* Deep Topic Modeling by Multilayer Bootstrap Network and Lasso
* Deep Transfer Learning for Alzheimer's disease detection
* Deep transformation models: Tackling complex regression problems with neural network based transformation models
* Deep Universal Blind Image Denoising
* DeepBEV: A Conditional Adversarial Network for Bird's Eye View Generation
* DeepHealth Toolkit: A Unified Framework to Boost Biomedical Applications, The
* Deeply-fused Attentive Network for Stereo Matching
* DeepPear: Deep Pose Estimation and Action Recognition
* DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning
* DeepScoresV2 Dataset and Benchmark for Music Object Detection, The
* DeepSegment: Segmentation of motion capture data using deep convolutional neural network
* Defense Mechanism Against Adversarial Attacks Using Density-based Representation of Images
* Deformable Image Registration Based on Functions of Bounded Generalized Deformation
* delayed Elastic-Net approach for performing adversarial attacks, A
* Delineation of Urban Agglomeration Boundary Based on Multisource Big Data Fusion: A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area (GBA)
* Delivering Meaningful Representation for Monocular Depth Estimation
* Delving in the loss landscape to embed robust watermarks into neural networks
* DEN: Disentangling and Exchanging Network for Depth Completion
* Dense Recognition of Spoken Languages
* Dependently Coupled Principal Component Analysis for Bivariate Inversion Problems
* Depth Videos for the Classification of Micro-Expressions
* DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking
* Derivation of Geometrically and Semantically Annotated UAV Datasets at Large Scales from 3D City Models
* Deriving VIIRS High-Spatial Resolution Water Property Data over Coastal and Inland Waters Using Deep Convolutional Neural Network
* Design and Validation of a Cascading Vector Tracking Loop in High Dynamic Environments
* Despeckling of SAR Images Using Shrinkage of Two-Dimensional Discrete Orthonormal S-Transform
* Detail Fusion GAN: High-Quality Translation for Unpaired Images with GAN-based Data Augmentation
* Detail- Revealing Deep Low-Dose CT Reconstruction
* Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning
* Detecting Anomalies from Video-Sequences: a Novel Descriptor
* Detecting inconsistent information in crowd-sourced street networks based on parallel carriageways identification and the rule of symmetry
* Detecting individual abandoned houses from google street view: A hierarchical deep learning approach
* Detecting Manipulated Facial Videos: A Time Series Solution
* Detecting Marine Species in Echograms via Traditional, Hybrid, and Deep Learning Frameworks
* Detecting Objects with High Object Region Percentage
* Detecting Rare Cell Populations in Flow Cytometry Data Using UMAP
* Detecting Recent Crop Phenology Dynamics in Corn and Soybean Cropping Systems of Kentucky
* Detecting Winter Cover Crops and Crop Residues in the Midwest US Using Machine Learning Classification of Thermal and Optical Imagery
* Detection and classification of breast cancer from digital mammograms using hybrid extreme learning machine classifier
* Detection and classification of electroencephalogram signals for epilepsy disease using machine learning methods
* Detection and Correspondence Matching of Corneal Reflections for Eye Tracking Using Deep Learning
* Detection and diagnosis of brain tumors-framework using extreme machine learning and CANFIS classification algorithms
* Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture
* Detection of Biogenic Oil Films near Aquaculture Sites Using Sentinel-1 and Sentinel-2 Satellite Images
* Detection of Calls From Smart Speaker Devices
* Detection of European Aspen (Populus tremula L.) Based on an Unmanned Aerial Vehicle Approach in Boreal Forests
* Detection of Makeup Presentation Attacks based on Deep Face Representations
* Detection of Root-Knot Nematode Meloidogyne luci Infestation of Potato Tubers Using Hyperspectral Remote Sensing and Real-Time PCR Molecular Methods
* Detection of Spoofing Medium Contours for Face Anti-Spoofing
* Detection-based Approach to Multiview Action Classification in Infants, A
* Detective: An Attentive Recurrent Model for Sparse Object Detection
* Determination of Key Phenological Phases of Winter Wheat Based on the Time-Weighted Dynamic Time Warping Algorithm and MODIS Time-Series Data
* Determination of Venus' Interior Structure with EnVision
* Developing Motion Code Embedding for Action Recognition in Videos
* Development of a Radar Reflector Kit for Older Adults to Use to Signal Their Location and Needs in a Large-Scale Earthquake Disaster
* Development of Integrated Crop Drought Index by Combining Rainfall, Land Surface Temperature, Evapotranspiration, Soil Moisture, and Vegetation Index for Agricultural Drought Monitoring
* DFH-GAN: A Deep Face Hashing with Generative Adversarial Network
* DGANet: Dynamic Gradient Adjustment Anchor-Free Object Detection in Optical Remote Sensing Images
* Diabetic retinopathy severity grading employing quadrant-based Inception-V3 convolution neural network architecture
* Diagnosis of Parkinson's Disease Using SVM Classifier
* Diagonal XOR-Based FEC Method to Improve Burst-Loss Tolerance for 4K/8K UHDTV Transmission
* DID: A Nested Dense in Dense Structure with Variable Local Dense Blocks for Super-Resolution Image Reconstruction
* Differential photon waves imaging
* Digit Recognition Applied to Reconstructed Audio Signals Using Deep Learning
* Digital breast tomosynthesis improves diagnostic accuracy of breast microcalcifications
* Dimensionality Reduction for Data Visualization and Linear Classification, and the Trade-off between Robustness and Classification Accuracy
* Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation
* Directional Graph Networks with Hard Weight Assignments
* Directionally Paired Principal Component Analysis for Bivariate Estimation Problems
* Discrete Semantic Matrix Factorization Hashing for Cross-Modal Retrieval
* Discrete Wavelet Transform based Generative System and Method
* Discriminant Information Approach to Deep Neural Network Pruning, A
* Discriminative Multi -level Reconstruction under Compact Latent Space for One-Class Novelty Detection
* Disentangle, Assemble, and Synthesize: Unsupervised Learning to Disentangle Appearance and Location
* Disentangled Representation based Face Anti-Spoofing
* Disentangled Representation Learning for Controllable Image Synthesis: An Information-Theoretic Perspective
* Disparity Refinement Algorithm for Satellite Remote Sensing Images Based on Mean-Shift Plane Segmentation, A
* Distance Transform-Based Spectral-Spatial Feature Vector for Hyperspectral Image Classification with Stacked Autoencoder
* Distilling Spikes: Knowledge Distillation in Spiking Neural Networks
* Distinct Discriminant Canonical Correlation Analysis Network based Deep Information Quality Representation for Image Classification*, A
* Distinctive 3D local deep descriptors
* Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images
* distributed source autoencoder of local visual descriptors for 3D reconstruction, A
* Diurnal Variation of the Diffuse Attenuation Coefficient for Downwelling Irradiance at 490 nm in Coastal East China Sea
* DmifNet: 3D Shape Reconstruction based on Dynamic Multi-Branch Information Fusion
* Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation
* Do We Really Need Scene-specific Pose Encoders?
* DoA Estimation Using Neural Network-Based Covariance Matrix Reconstruction
* Documents Counterfeit Detection Through a Deep Learning Approach
* Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation
* Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning
* Domain Siamese CNNs for Sparse Multispectral Disparity Estimation
* Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation
* DR2S: Deep Regression with Region Selection for Camera Quality Evaluation
* Drift anticipation with forgetting to improve evolving fuzzy system
* DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder
* Drone-Based Community Assessment, Planning, and Disaster Risk Management for Sustainable Development
* Drone-Based Hyperspectral and Thermal Imagery for Quantifying Upland Rice Productivity and Water Use Efficiency after Biochar Application
* DSPNet: Deep Learning-Enabled Blind Reduction of Speckle Noise
* DTM-Based Morphometric Analysis of Scoria Cones of the Chane des Puys (France): The Classic and a New Approach
* Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation
* Dual Loss for Manga Character Recognition with Imbalanced Training Data
* Dual Path Multi-Modal High-Order Features for Textual Content based Visual Question Answering
* Dual Stream Network with Selective Optimization for Skin Disease Recognition in Consumer Grade Images
* Dual View on Clear-Sky Top-of-Atmosphere Albedos from Meteosat Second Generation Satellites
* Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization
* Dual-Branch Network for Infrared and Visible Image Fusion, A
* Dual-Memory Model for Incremental Learning: The Handwriting Recognition Use Case
* Dual-Mode iterative denoiser: Tackling the weak label for anomaly detection
* Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis
* Dual-Wavelength Polarimetric Lidar Observations of the Volcanic Ash Cloud Produced during the 2016 Etna Eruption
* DualBox: Generating BBox Pair with Strong Correspondence via Occlusion Pattern Clustering and Proposal Refinement
* DUET: Detection Utilizing Enhancement for Text in Scanned or Captured Documents
* Duplex Spatiotemporal Filtering Network for Video-based Person Re-identification, A
* Dynamic Guided Network for Monocular Depth Estimation
* Dynamic Low-Light Image Enhancement for Object Detection via End-to-End Training
* Dynamic Microclimate Boundaries across a Sharp Tropical Rainforest-Clearing Edge
* Dynamic Model Averaging for the Discovery of Time-Varying Weather-Cycling Patterns, A
* Dynamic Multi-path Neural Network
* Dynamic Resource-Aware Corner Detection for Bio-Inspired Vision Sensors
* Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack Detection
* E-DNAS: Differentiable Neural Architecture Search for Embedded Systems
* EAGLE: Large-Scale Vehicle Detection Dataset in Real-World Scenarios using Aerial Imagery
* Early Detection of Encroaching Woody Juniperus Virginiana and Its Classification in Multi-Species Forest Using UAS Imagery and Semantic Segmentation Algorithms
* Early detection of melanoma images using gray level co-occurrence matrix features and machine learning techniques for effective clinical diagnosis
* Early Wildfire Smoke Detection in Videos
* Earth's Time-Variable Gravity from GRACE Follow-On K-Band Range-Rates and Pseudo-Observed Orbits
* Earthquake Source Investigation of the Kanallaki, March 2020 Sequence (North-Western Greece) Based on Seismic and Geodetic Data
* EasiECG: A Novel Inter-Patient Arrhythmia Classification Method using ECG Waves
* EDD-Net: An Efficient Defect Detection Network
* Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks
* Edge-Aware Monocular Dense Depth Estimation with Morphology
* Edge-guided CNN for Denoising Images from Portable Ultrasound Devices
* EdgeNet: Semantic Scene Completion from a Single RGB- D Image
* Editorial for Special Issue Monitoring Land Subsidence Using Remote Sensing
* Editorial for the Special Issue Remote Sensing Monitoring of Land Surface Temperature
* EEG-Based Cognitive State Assessment Using Deep Ensemble Model and Filter Bank Common Spatial Pattern
* Effect of 6-DOF Oscillation of Ship Target on SAR Imaging
* Effect of Different Atmospheric Correction Algorithms on Sentinel-2 Imagery Classification Accuracy in a Semiarid Mediterranean Area
* Effect of electrode configuration on recognizing uterine contraction with electrohysterogram: Analysis using a convolutional neural network
* effect of image enhancement algorithms on convolutional neural networks, The
* Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning, The
* Effect of Reduced Anthropogenic Activities on Water Quality in Lake Vembanad, India
* Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy, The
* Effect of Street Lighting on the Urban and Rural Night-Time Radiance and the Brightness of the Night Sky
* Effect of Time of Day and Sky Conditions on Different Vegetation Indices Calculated from Active and Passive Sensors and Images Taken from UAV
* Effective Approach for Neural Network Training Based on Comprehensive Learning, An
* Effective Blind Image Deblurring Using Matrix-Variable Optimization
* Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings
* Effective Range and Driving Factors of the Urban Ventilation Corridor Effect on Urban Thermal Comfort at Unified Scale with Multisource Data
* Efficient and General Framework for Aerial Point Cloud Classification in Urban Scenarios, An
* Efficient Approach to Automatic Construction of 3D Watertight Geometry of Buildings Using Point Clouds, An
* Efficient Cooperative Smearing Technique for Degraded Historical Document Image Segmentation, An
* Efficient correlation filter tracking with adaptive training sample update scheme
* Efficient Empirical Solver for Localized Multiple Kernel Learning via DNNs, An
* efficient foreign objects detection network for power substation, An
* Efficient Game-Theoretic Hypergraph Matching
* Efficient grouping for keypoint detection
* Efficient High-Resolution High-Level-Semantic Representation Learning for Human Pose Estimation
* Efficient interactions for reconstructing complex buildings via joint photometric and geometric saliency segmentation
* Efficient Online Subclass Knowledge Distillation for Image Classification
* Efficient Quasi-Newton Method for Nonlinear Inverse Problems via Learned Singular Values, An
* Efficient Rotational Angular Velocity Estimation of Rotor Target via Modified Short-Time Fractional Fourier Transform
* Efficient Sentence Embedding via Semantic Subspace Analysis
* Efficient Shadow Detection and Removal using Synthetic Data with Domain Adaptation
* Efficient Super Resolution by Recursive Aggregation
* Efficient-Receptive Field Block with Group Spatial Attention Mechanism for Object Detection
* Efficiently Fusing Pretrained Acoustic and Linguistic Encoders for Low-Resource Speech Recognition
* EfficientPS: Efficient Panoptic Segmentation
* Electroencephalography signal processing based on textural features for monitoring the driver's state by a Brain-Computer Interface
* Elevation Spatial Variation Analysis and Compensation in GEO SAR Imaging
* EM-net: Deep learning for electron microscopy image segmentation
* Embedding shared low-rank and feature correlation for multi-view data analysis
* Emergency Landing Spot Detection Algorithm for Unmanned Aerial Vehicles
* Emerging Pattern of Wind Change over the Eurasian Marginal Seas Revealed by Three Decades of Satellite Ocean-Surface Wind Observations
* Emerging Relation Network and Task Embedding for Multi-Task Regression Problems
* Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes, An
* Empirical Bayes Approach to Topic Modeling, An
* Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
* Encoder-Decoder With Cascaded CRFs for Semantic Segmentation
* Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple Sclerosis Classification
* End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales
* End-to-End Hierarchical Relation Extraction for Generic Form Understanding
* End-to-End Image Stitching Network via Multi-Homography Estimation
* End-to-End Multi-Task Learning for Lung Nodule Segmentation and Diagnosis
* End-to-end Multi-task Learning of Missing Value Imputation and Forecasting in Time-Series Data
* End-to-end training of a two-stage neural network for defect detection
* End-to-end Triplet Loss based Emotion Embedding System for Speech Emotion Recognition
* Energy Minimum Regularization in Continual Learning
* Energy-constrained Self-training for Unsupervised Domain Adaptation
* Enhanced 3D Human Pose Estimation from Videos by Using Attention-Based Neural Network with Dilated Convolutions
* Enhanced Bidirectional Insertion Sort Over Classical Insertion Sort, An
* Enhanced Data-Driven Array Shape Estimation Method Using Passive Underwater Acoustic Data, An
* Enhanced Feature Pyramid Network for Semantic Segmentation
* Enhanced Pulsed-Source Localization with 3 Hydrophones: Uncertainty Estimates
* Enhanced User Interest and Expertise Modeling for Expert Recommendation
* Enhanced Vote Network for 3D Object Detection in Point Clouds
* Enhancing Deep Semantic Segmentation of RGB-D Data with Entangled Forests
* Enhancing Depth Quality of Stereo Vision using Deep Learning-based Prior Information of the Driving Environment
* Enhancing Handwritten Text Recognition with N-gram sequence decomposition and Multitask Learning
* Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons
* Enhancing the identification of web genres by combining internal and external structures
* Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation
* Enriched Music Representations With Multiple Cross-Modal Contrastive Learning
* Enriching Video Captions With Contextual Text
* Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture
* Epitomic Variational Graph Autoencoder
* Equation Attention Relationship Network (EARN) : A Geometric Deep Metric Framework for Learning Similar Math Expression Embedding
* Errors of Airborne Bathymetry LiDAR Detection Caused by Ocean Waves and Dimension-Based Laser Incidence Correction
* ESResNet: Environmental Sound Classification Based on Visual Domain Models
* Estimating daily full-coverage near surface O3, CO, and NO2 concentrations at a high spatial resolution over China based on S5P-TROPOMI and GEOS-FP
* Estimating Gaze Points from Facial Landmarks by a Remote Spherical Camera
* Estimating Plant Nitrogen Concentration of Rice through Fusing Vegetation Indices and Color Moments Derived from UAV-RGB Images
* Estimating Static and Dynamic Brain Networks by Kulback-Leibler Divergence from fMRI Data
* Estimating the standard error of cross-Validation-Based estimators of classifier performance
* Estimating the Suitability for the Reintroduced Arabian Oryx (Oryx leucoryx, Pallas 1777) of Two Desert Environments by NIRS-Aided Fecal Chemistry
* Estimation of Abundance and Distribution of Salt Marsh Plants from Images Using Deep Learning
* Estimation of Apple Flowering Frost Loss for Fruit Yield Based on Gridded Meteorological and Remote Sensing Data in Luochuan, Shaanxi Province, China
* Estimation of Bathymetry and Benthic Habitat Composition from Hyperspectral Remote Sensing Data (BIODIVERSITY) Using a Semi-Analytical Approach
* Estimation of Clinical Tremor using Spatio-Temporal Adversarial AutoEncoder
* Estimation of Liquid Fraction of Wet Snow by Using 2-D Video Disdrometer and S-Band Weather Radar
* Estimation of the Precipitable Water and Water Vapor Fluxes in the Coastal and Inland Cities of China Using MAX-DOAS
* Estimation of Urban Traffic State With Probe Vehicles
* Evaluate and improve the quality of neural style transfer
* Evaluating Initialization of Nelder-Mead Method for Hyperparameter Optimization in Deep Learning
* Evaluating Visual Properties via Robust HodgeRank
* Evaluation Metrics for Conditional Image Generation
* Evaluation Model of Remote Sensing Satellites Cooperative Observation Capability
* Evaluation of Anomaly Detection Algorithms for the Real-World Applications
* Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks
* Evaluation of CFOSAT Scatterometer Wind Data in Global Oceans
* Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers, An
* Evaluation of Fengyun-4A Lightning Mapping Imager (LMI) Performance during Multiple Convective Episodes over Beijing
* Evaluation of Global Surface Water Temperature Data Sets for Use in Passive Remote Sensing of Soil Moisture
* Evaluation of Pixel- and Object-Based Tree Species Classification in Mixed Deciduous Forests Using Pansharpened Very High Spatial Resolution Satellite Imagery, An
* Evaluation of the Effective Microstructure Parameter of the Microwave Emission Model of Layered Snowpack for Multiple-Layer Snow
* Event-Centric Hierarchical Representation for Dense Video Captioning
* Exact and Convergent Iterative Methods to Compute the Orthogonal Point-to-Ellipse Distance
* Exemplar Guided Cross-Spectral Face Hallucination via Mutual Information Disentanglement
* Expectation-Maximization for Scheduling Problems in Satellite Communication
* Experimental Evaluation of Recent Face Recognition Losses for Deepfake Detection, An
* Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability
* Explainable Attention-Guided Iris Presentation Attack Detector, An
* Explainable Feature Embedding using Convolutional Neural Networks for Pathological Image Analysis
* Explainable Fingerprint ROI Segmentation Using Monte Carlo Dropout
* Explainable Online Validation of Machine Learning Models for Practical Applications
* Explanation-Guided Training for Cross-Domain Few-Shot Classification
* Explicit Facial Expression Transfer via Fine-Grained Representations
* Exploiting Distilled Learning for Deep Siamese Tracking
* Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks
* Exploiting Knowledge Embedded Soft Labels for Image Recognition
* Exploiting Local Indexing and Deep Feature Confidence Scores for Fast Image-to-Video Search
* Exploiting Non-Linear Redundancy for Neural Model Compression
* Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction
* Explorable Tone Mapping Operators
* Exploration of Embodied Visual Exploration, An
* Explore and Explain: Self-supervised Navigation and Recounting
* Exploring and Exploiting the Hierarchical Structure of a Scene for Scene Graph Generation
* Exploring region relationships implicitly: Image captioning with visual relationship attention
* Exploring Seismocardiogram Biometrics with Wavelet Transform
* Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution
* Exploring Spatial-Temporal Representations for fNIRS-based Intimacy Detection via an Attention-enhanced Cascade Convolutional Recurrent Neural Network
* Exploring Temporal Intra-Urban Travel Patterns: An Online Car-Hailing Trajectory Data Perspective
* Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges
* eXPose Approach to Crosslier Detection, The
* Exposing Deepfake Videos by Tracking Eye Movements
* Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
* Extended Depth of Field Preserving Color Fidelity For Automated Digital Cytology
* Extending Single Beam Lidar To Full Resolution By Fusing with Single Image Depth Estimation
* Extending the Measurement Angle of a Gaze Estimation Method Using an Eye Model Expressed by a Revolution about the Optical Axis of the Eye
* Extracting Action Hierarchies from Action Labels and their Use in Deep Action Recognition
* Extracting and Interpreting Unknown Factors with Classifier for Foot Strike Types in Running
* Extraction and analysis of 3D kinematic parameters of Table Tennis ball from a single camera
* Extreme Wind Speeds Retrieval Using Sentinel-1 IW Mode SAR Data
* F-mixup: Attack CNNs From Fourier Perspective
* Face Anti-Spoofing Based on Dynamic Color Texture Analysis Using Local Directional Number Pattern
* Face Anti-Spoofing Using Spatial Pyramid Pooling
* Face Image Quality Assessment for Model and Human Perception
* Face Super-Resolution Network with Incremental Enhancement of Facial Parsing Information
* Facetwise Mesh Refinement for Multi- View Stereo
* Facial Expression Neutralization With StoicNet
* Facial Expression Recognition By Using a Disentangled Identity-Invariant Expression Representation
* Facial Expression Recognition Using Residual Masking Network
* Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling
* Factorized Tensor Dictionary Learning for Visual Tensor Data Completion
* Fall Detection by Human Pose Estimation and Kinematic Theory
* FashionGraph: Understanding fashion data using scene graph generation
* Fast and Accurate Object Detector for Handwritten Digit String Recognition, A
* Fast and Accurate Real-Time Semantic Segmentation with Dilated Asymmetric Convolutions
* Fast and Efficient Neural Network for Light Field Disparity Estimation
* Fast and Robust Cascade Model for Multiple Degradation Single Image Super-Resolution
* Fast Approximate Modelling of the Next Combination Result for Stopping the Text Recognition in a Video
* Fast Back-Projection SAR Imaging Algorithm Based on Wavenumber Spectrum Fusion for High Maneuvering Platforms, A
* Fast Bayesian Compressed Sensing Algorithm via Relevance Vector Machine for LASAR 3D Imaging
* Fast blending of planar shapes based on invariant invertible and stable descriptors
* Fast Chroma Intra-Prediction Mode Decision Algorithm Based on Texture Characteristics for VVC, A
* Fast Determination of Melanin based on Skin Hyperspectral Reflectance
* Fast Discrete Cross-Modal Hashing Based on Label Relaxation and Matrix Factorization
* Fast Encryption Scheme Suitable for Video Surveillance Applications Using SHA-256 Hash Function and 1D Sine-Sine Chaotic Map, A
* Fast Implementation of 4-bit Convolutional Neural Networks for Mobile Devices
* Fast Iterative Procedure for Adjacency Effects Correction on Remote Sensed Data, A
* Fast Multi-Level Foreground Estimation
* Fast Region-Adaptive Defogging and Enhancement for Outdoor Images Containing Sky
* Fast Subspace Clustering Based on the Kronecker Product
* Fast Target Localization Method for FMCW MIMO Radar via VDSR Neural Network
* Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
* FastCompletion: A Cascade Network with Multiscale Group-Fused Inputs for Real-Time Depth Completion
* FastSal: a Computationally Efficient Network for Visual Saliency Prediction
* FatNet: A Feature-attentive Network for 3D Point Cloud Processing
* FC-DCNN: A densely connected neural network for stereo estimation
* FEANet: Foreground-edge-aware network with DenseASPOC for human parsing
* Feasibility of Harmonic Motion Imaging Using a Single Transducer: In Vivo Imaging of Breast Cancer in a Mouse Model and Human Subjects
* Feasibility Study of using MyoBand for Learning Electronic Keyboard
* Feature Embedding Based Text Instance Grouping for Largely Spaced and Occluded Text Detection
* Feature Engineering and Stacked Echo State Networks for Musical Onset Detection
* Feature Extraction and Selection via Robust Discriminant Analysis and Class Sparsity
* Feature Extraction by Joint Robust Discriminant Analysis and Inter-class Sparsity
* Feature Fusion for Online Mutual Knowledge Distillation
* Feature Fusion Framework and Its Application to Automatic Seizure Detection, A
* Feature Point Matching in Cross-Spectral Images with Cycle Consistency Learning
* Feature Pyramid Hierarchies for Multi-scale Temporal Action Detection
* Feature Representation Learning for Calving Detection of Cows Using Video Frames
* Feature selection based on fuzzy-neighborhood relative decision entropy
* Feature-Aided RTK/LiDAR/INS Integrated Positioning System with Parallel Filters in the Ambiguity-Position-Joint Domain for Urban Environments
* Feature-aware unsupervised learning with joint variational attention and automatic clustering
* Feature-Dependent Cross-Connections in Multi-Path Neural Networks
* Feature-Supervised Action Modality Transfer
* FeatureNMS: Non-Maximum Suppression by Learning Feature Embeddings
* Feedback Control for Metro Lines With a Junction
* Few Shot Learning Framework to Reduce Inter-observer Variability in Medical Images
* Few-Shot Few-Shot Learning and the role of Spatial Attention
* Few-Shot Font Generation with Deep Metric Learning
* Few-shot Learning Approach for Historical Ciphered Manuscript Recognition, A
* Few-Shot Learning Based on Metric Learning Using Class Augmentation
* Fidelity-Controllable Extreme Image Compression with Generative Adversarial Networks
* Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
* Filtered Batch Normalization
* Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarios, A
* Fine-Grained Instance-Level Sketch-Based Video Retrieval
* Fine-Grained Visual Categorization by Localizing Object Parts With Single Image
* Fine-tuning Convolutional Neural Networks: a comprehensive guide and benchmark analysis for Glaucoma Screening
* Fine-Tuning DARTS for Image Classification
* Finger Vein Recognition and Intra-Subject Similarity Evaluation of Finger Veins using the CNN Triplet Loss
* Fingerprints, forever young?
* First person video summarization using different graph representations
* First- and Second-Order Sorted Local Binary Pattern Features for Grayscale-Inversion and Rotation Invariant Texture Classification
* FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging
* Fixed simplex coordinates for angular margin loss in CapsNet
* Flatter Loss for Bias Mitigation in Cross-dataset Facial Age Estimation, A
* Floorplan generation from 3D point clouds: A space partitioning approach
* Flow-guided Spatial Attention Tracking for Egocentric Activity Recognition
* fMRI Brain Networks as Statistical Mechanical Ensembles
* FOANet: A Focus of Attention Network with Application to Myocardium Segmentation
* Focus Improvement of Airborne High-Squint Bistatic SAR Data Using Modified Azimuth NLCS Algorithm Based on Lagrange Inversion Theorem
* Focused LRP: Explainable AI for Face Morphing Attack Detection
* Force Banner for the recognition of spatial relations
* Forecasting Flight Delays Using Clustered Models Based on Airport Networks
* Foreground-focused domain adaption for object detection
* Forest 3D Reconstruction and Individual Tree Parameter Extraction Combining Close-Range Photo Enhancement and Feature Matching
* Forest height retrieval using P-band airborne multi-baseline SAR data: A novel phase compensation method
* Forground-Guided Vehicle Perception Framework
* Fourier Domain Pruning of MobileNet-V2 with Application to Video Based Wildfire Detection
* FourierNet: Compact Mask Representation for Instance Segmentation Using Differentiable Shape Decoders
* Fractal Nature of Advanced Ni-Based Superalloys Solidified on Board the International Space Station
* Fractional Adaptation of Activation Functions In Neural Networks
* Fractional wavelet transform based diagnostic system for brain tumor detection in MR imaging
* Framework for Hexagonal Image Processing Using Hexagonal Pixel-Perfect Approximations in Subpixel Resolution, A
* Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets, A
* Free-Form Image Inpainting via Contrastive Attention Network
* From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking
* From early biological models to CNNs: do they look where humans look?
* From Human Pose to On-Body Devices for Human-Activity Recognition
* From Land Cover Map to Land Use Map: A Combined Pixel-Based and Object-Based Approach Using Multi-Temporal Landsat Data, a Random Forest Classifier, and Decision Rules
* From Remote Sensing to Species Distribution Modelling: An Integrated Workflow to Monitor Spreading Species in Key Grassland Habitats
* Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction
* Fully Residual Convolutional Neural Network for Background Subtraction, A
* Fused 3-Stage Image Segmentation for Pleural Effusion Cell Clusters
* Fusing Precipitable Water Vapor Data in CHINA at Different Timescales Using an Artificial Neural Network
* Fusion of Global-Local Features for Image Quality Inspection of Shipping Label
* Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science
* Future Urban Scenes Generation Through Vehicles Synthesis
* fuzzy and spline based dynamic histogram equalization for contrast enhancement of brain images, A
* Fuzzy inference based contextual dissimilarity histogram equalization algorithm for image enhancement
* G-FAN: Graph-Based Feature Aggregation Network for Video Face Recognition
* Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos
* Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules
* Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks
* GAMSNet: Globally aware road detection network with multi-scale residual learning
* GAN-based Blind Inpainting Method for Masonry Wall Images, A
* GAN-based Gaussian Mixture Model Responsibility Learning
* GAN-Based Image Deblurring Using DCT Discriminator
* GAP: Quantifying the Generative Adversarial Set and Class Feature Applicability of Deep Neural Networks
* GarmentGAN: Photo-realistic Adversarial Fashion Transfer
* Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping, A
* Gaussian Constrained Attention Network for Scene Text Recognition
* Gaussian Convolution Angles: Invariant Vein and Texture Descriptors for Butterfly Species Identification
* GazeMAE: General Representations of Eye Movements using a Micro-Macro Autoencoder
* GCNs-Based Context-Aware Short Text Similarity Model
* Geeks and guests: Estimating player's level of experience from board game behaviors
* Gender Classification Using Video Sequences of Body Sway Recorded by Overhead Camera
* General End-to-End Method for Characterizing Neuropsychiatric Disorders using Free-Viewing Visual Scanning Tasks, A
* General Model for Learning Node and Graph Representations Jointly, A
* generalizable saliency map-based interpretation of model outcome, A
* Generalization Comparison of Deep Neural Networks via Output Sensitivity
* Generalized Conics: Properties and applications
* Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings
* Generalized Local Attention Pooling for Deep Metric Learning
* Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images
* Generating Private Data Surrogates for Vision Related Tasks
* Generation of Hypergraphs from the N-Best Parsing of 2D-Probabilistic Context-Free Grammars for Mathematical Expression Recognition
* Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
* Generative Deep-Neural-Network Mixture Modeling with Semi-Supervised MinMax+EM Learning
* Generative Latent Implicit Conditional Optimization when Learning from Small Sample
* Generic Document Image Dewarping by Probabilistic Discretization of Vanishing Points
* Generic Merging of Structure from Motion Maps with a Low Memory Footprint
* Geographic-Semantic-Temporal Hypergraph Convolutional Network for Traffic Flow Prediction
* Geometric Calibration Updates to Landsat 7 ETM+ Instrument for Landsat Collection 2 Products
* Geophysical Signal Detection in the Earth's Oblateness Variation and Its Climate-Driven Source Analysis
* Ghost Target Detection in 3D Radar Data using Point Cloud based Deep Neural Network
* GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan
* Glaucoma assessment from color fundus images using convolutional neural network
* Global Analysis of Atmospheric Transmissivity Using Cloud Cover, Aridity and Flux Network Datasets
* Global Context-aware and Batch-independent Network for road extraction from VHR satellite imagery, A
* Global Context-Based Network with Transformer for Image2latex
* Global Feature Aggregation for Accident Anticipation
* Global Image Sentiment Transfer
* Global Positioning System (GPS) Scintillation Associated with a Polar Cap Patch
* Global-Local Attention Network for Semantic Segmentation in Aerial Images
* Globally Optimal Method for the PnP Problem with MRP Rotation Parameterization, A
* GNSS Localization in Constraint Environment by Image Fusing Techniques
* GOSAT CH4 Vertical Profiles over the Indian Subcontinent: Effect of a Priori and Averaging Kernels for Climate Applications
* GPR Clutter Reflection Noise-Filtering through Singular Value Decomposition in the Bidimensional Spectral Domain
* GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data
* GRACE Satellites Enable Long-Lead Forecasts of Mountain Contributions to Streamflow in the Low-Flow Season
* Graph Approximations to Geodesics on Metric Graphs
* Graph Convolutional Neural Networks for Power Line Outage Identification
* Graph Discovery for Visual Test Generation
* Graph Learning Based Head Movement Prediction for Interactive 360 Video Streaming
* Graph Neural Networks: Architectures, Stability, and Transferability
* Graph signal active contours
* Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type
* Graph-based image decoding for multiplexed in situ RNA detection
* Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification
* GraphBGS: Background Subtraction via Recovery of Graph Signals
* Greenness, texture, and spatial relationships predict floristic diversity across wetlands of the conterminous United States
* Grid-based Representation for Human Action Recognition, A
* Ground Deformation Modelling of the 2020 Mw6.9 Samos Earthquake (Greece) Based on InSAR and GNSS Data
* Ground-Penetrating Radar Prospections in Lecce Cathedral: New Data about the Crypt and the Structures under the Church
* Ground-truthing Large Human Behavior Monitoring Datasets
* Group Target Tracking Based on MS-MeMBer Filters
* Group-wise Feature Orthogonalization and Suppression for GAN based Facial Attribute Translation
* GSDet: Object Detection in Aerial Images Based on Scale Reasoning
* GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Semantic Segmentation
* GuCNet: A Guided Clustering-based Network for Improved Classification
* Handheld Laser Scanning Detects Spatiotemporal Differences in the Development of Structural Traits among Species in Restoration Plantings
* Handwritten Digit String Recognition using Deep Autoencoder based Segmentation and ResNet based Recognition Approach
* Handwritten Signature and Text based User Verification using Smartwatch
* HANet: Hybrid Attention-aware Network for Crowd Counting
* HCFS3D: Hierarchical coupled feature selection network for 3D semantic and instance segmentation
* Hcore-Init: Neural Network Initialization based on Graph Degeneracy
* Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning
* Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes, A
* Heuristics for Evaluation of AI Generated Music
* HEVC steganalytic approach against motion vector modification using local optimality in candidate list, An
* HFP: Hardware-Aware Filter Pruning for Deep Convolutional Neural Networks Acceleration
* Hidden Cairns: A Case Study of Drone-Based ALS as an Archaeological Site Survey Method, The
* Hierarchical Classification with Confidence using Generalized Logits
* Hierarchical Deep Hashing for Fast Large Scale Image Retrieval
* Hierarchical Framework for Leaf Instance Segmentation: Application to Plant Phenotyping, A
* Hierarchical Head Design for Object Detectors
* Hierarchical Mixtures of Generators for Adversarial Learning
* Hierarchical Multimodal Attention for Deep Video Summarization
* Hierarchical Routing Mixture of Experts
* Hierarchically Aggregated Residual Transformation for Single Image Super Resolution
* High Resolution Face Age Editing
* High-Quality Pixel Selection Applied for Natural Scenes in GB-SAR Interferometry
* High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos
* High-Speed Lightweight Ship Detection Algorithm Based on YOLO-V4 for Three-Channels RGB SAR Image
* Higher Order Crossings Analysis of Signals Over Graphs
* HisClima database: historical weather logs for automatic transcription and information extraction, The
* HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects
* Holistic Grid Fusion Based Stop Line Estimation
* Horizon Line Detection in Historical Terrestrial Images in Mountainous Terrain Based on the Region Covariance
* How Can We Realize Sustainable Development Goals in Rocky Desertified Regions by Enhancing Crop Yield with Reduction of Environmental Risks?
* How Does DCNN Make Decisions ?
* How important are faces for person re-identification?
* How to define a rejection class based on model learning?
* How Unique Is a Face: An Investigative Study
* HP2IFS: Head Pose estimation exploiting Partitioned Iterated Function Systems
* HPERL: 3D Human Pose Estimation from RGB and LiDAR
* HSGAN: Hierarchical Graph Learning for Point Cloud Generation
* Human Embryo Cell Centroid Localization and Counting in Time-Lapse Sequences
* Human or Machine? It Is Not What You Write, But How You Write It
* Human Segmentation with Dynamic LiDAR Data
* Human-Centric Parsing Network for Human-Object Interaction Detection
* Hybrid Approach for 3D Head Reconstruction: Using Neural Networks and Visual Geometry
* Hybrid Approach of Combining Random Forest with Texture Analysis and VDVI for Desert Vegetation Mapping Based on UAV RGB Data, A
* Hybrid Attention Based Residual Network for Pansharpening
* Hybrid Cascade Point Search Network for High Precision Bar Chart Component Detection
* Hybrid compression of biomedical ECG and EEG signals based on differential clustering and encoding techniques
* Hybrid Decomposition Convolution Neural Network and Vocabulary Forest for Image Retrieval
* Hybrid Inversion Algorithms for Retrieval of Absorption Subcomponents from Ocean Colour Remote Sensing Reflectance
* Hybrid Metric based on Persistent Homology and its Application to Signal Classification, A
* Hybrid Network For End-To-End Text-Independent Speaker Identification
* Hybrid Refinement-Correction Heatmaps for Human Pose Estimation
* Hybrid spatio-frequency domain global thresholding filter (HSFGTF) model for SAR image enhancement
* Hyperspectral Data Simulation (Sentinel-2 to AVIRIS-NG) for Improved Wildfire Fuel Mapping, Boreal Alaska
* Hyperspectral Image Classification across Different Datasets: A Generalization to Unseen Categories
* Hyperspectral Imaging for Analysis and Classification of Plastic Waste
* Hyperspectral Snapshot Compressive Imaging with Non-Local Spatial-Spectral Residual Network
* IBN-STR: A Robust Text Recognizer for Irregular Text in Natural Scenes
* ID documents matching and localization with multi-hypothesis constraints
* IDA-GAN: A Novel Imbalanced Data Augmentation GAN
* Identification of Fishing Vessel Types and Analysis of Seasonal Activities in the Northern South China Sea Based on AIS Data: A Case Study of 2018
* Identify Informative Bands for Hyperspectral Target Detection Using the Third-Order Statistic
* Identifying Missing Children: Face Age-Progression via Deep Feature Aging
* Identifying Seasonal Groundwater-Irrigated Cropland Using Multi-Source NDVI Time-Series Images
* Identity-Aware Facial Expression Recognition in Compressed Video
* Identity-Preserved Face Beauty Transformation with Conditional Generative Adversarial Networks
* IFSM: An Iterative Feature Selection Mechanism for Few-Shot Image Classification
* ILS-SUMM: Iterated Local Search for Unsupervised Video Summarization
* Image Compositing for Segmentation of Surgical Tools Without Manual Annotations
* Image Defocus Analysis for Finger Detection on A Virtual Keyboard
* Image Inpainting by End-to-End Cascaded Refinement With Mask Awareness
* Image Inpainting with Contrastive Relation Network
* Image Representation Learning by Transformation Regression
* Image retrieval with mixed initiative and multimodal feedback
* Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution
* Image style disentangling for instance-level facial attribute transfer
* Image-based Table Cell Detection: a Novel Table Structure Decomposition Method with New Dataset
* Image-Only Real-Time Incremental UAV Image Mosaic for Multi-Strip Flight
* Imaging Genetics Study Based on a Temporal Group Sparse Regression and Additive Model for Biomarker Detection of Alzheimer's Disease
* Imaging Network Design for UGV-Based 3D Reconstruction of Buildings, An
* Impacts of Spatial Resolution, Viewing Angle, and Spectral Vegetation Indices on the Quantification of Woody Mediterranean Species Seasonality Using Remote Sensing, The
* Impacts of Urban Expansion Forms on Ecosystem Services in Urban Agglomerations: A Case Study of Shanghai-Hangzhou Bay Urban Agglomeration
* Implementation of a Modified Faster R-CNN for Target Detection Technology of Coastal Defense Radar
* Implementation of deep neural networks for classifying electroencephalogram signal using fractional S-transform for epileptic seizure detection
* Implications of GNSS-Inferred Tropopause Altitude Associated with Terrestrial Gamma-ray Flashes
* Improved Accuracy of Riparian Zone Mapping Using Near Ground Unmanned Aerial Vehicle and Photogrammetry Method
* Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise
* Improved Bilinear Pooling Method for Image-Based Action Recognition, An
* Improved Deep Classwise Hashing With Centers Similarity Learning for Image Retrieval
* Improved Hydrological Loading Models in South America: Analysis of GPS Displacements Using M-SSA
* Improved Quadtree Sampling Method for InSAR Seismic Deformation Inversion, An
* Improved R-Index Model for Terrain Visibility Analysis for Landslide Monitoring with InSAR, An
* Improved Residual Networks for Image and Video Recognition
* Improved SinGAN Integrated with an Attentional Mechanism for Remote Sensing Image Classification
* Improved Time-Series Clustering with UMAP dimension reduction method
* Improvement in CNN-Based Multifocus Image Fusion Algorithm with Triangulated Fuzzy Filter
* Improvement of GPR-Based Rebar Diameter Estimation Using YOLO-v3
* Improving Accuracy of Unmanned Aerial System Thermal Infrared Remote Sensing for Use in Energy Balance Models in Agriculture Applications
* Improving Batch Normalization with Skewness Reduction for Deep Neural Networks
* Improving DGNSS Performance through the Use of Network RTK Corrections
* Improving Explainability of Integrated Gradients with Guided Non-Linearity
* Improving Gravitational Wave Detection with 2D Convolutional Neural Networks
* Improving Image Matching with Varied Illumination
* Improving knowledge distillation using unified ensembles of specialized teachers
* Improving Land Cover Classification Using Genetic Programming for Feature Construction
* Improving Low-Resolution Image Classification by Super-Resolution with Enhancing High-Frequency Content
* Improving mix-and-separate training in audio-visual sound source separation with an object prior
* Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study
* Improving reliability of attention branch network by introducing uncertainty
* Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss
* Improving the Image Quality of Moving Ships for GF-3NG Based on Simultaneous AIS Information
* Improving Visual Question Answering using Active Perception on Static Images
* Improving Visual Relation Detection using Depth Maps
* Improving Word Recognition using Multiple Hypotheses and Deep Embeddings
* In Depth Bayesian Semantic Scene Completion
* In-Season Interactions between Vine Vigor, Water Status and Wine Quality in Terrain-Based Management-Zones in a Cabernet Sauvignon Vineyard
* Inception-based Deep Learning Architecture for Tuberculosis Screening using Chest X-rays
* Incorporating a graph-matching algorithm into a muscle mechanics model
* Incorporating Depth Information into Few-Shot Semantic Segmentation
* Increasing GPS Localization Accuracy With Reinforcement Learning
* Incrementally Zero-Shot Detection by an Extreme Value Analyzer
* Individual Tree Extraction from Urban Mobile Laser Scanning Point Clouds Using Deep Pointwise Direction Embedding
* Industrial Plume Properties Retrieved by Optimal Estimation Using Combined Hyperspectral and Sentinel-2 Data
* Inferring Functional Properties from Fluid Dynamics Features
* Inferring Grassland Drought Stress with Unsupervised Learning from Airborne Hyperspectral VNIR Imagery
* Inferring Tasks and Fluents in Videos by Learning Causal Relations
* Influence of Event Duration on Automatic Wheeze Classification
* Information Graphic Summarization using a Collection of Multimodal Deep Neural Networks
* Infrared and Visible Image Fusion Based on Sparse Representation and Spatial Frequency in DTCWT Domain
* Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data
* Inner Eye Canthus Localization for Human Body Temperature Screening
* Innovative Slepian Approach to Invert GRACE KBRR for Localized Hydrological Information at the Sub-Basin Scale, An
* InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
* Instance Segmentation Based Framework for Large-Sized High-Resolution Remote Sensing Images Registration, An
* Instance-Level Salient Object Segmentation
* Integrated Approach of Deep Learning and Symbolic Analysis for Digital PDF Table Extraction, An
* Integrated Mapping of Spatial Urban Dynamics: A European-Chinese Exploration. Part 1: Methodology for Automatic Land Cover Classification Tailored towards Spatial Allocation of Ecosystem Services Features
* Integrating Historical States and Co-attention Mechanism for Visual Dialog
* Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform
* Integration of Satellite Interferometric Data in Civil Protection Strategies for Landslide Studies at a Regional Scale
* Integration of Visible and Thermal Imagery with an Artificial Neural Network Approach for Robust Forecasting of Canopy Water Content in Rice
* Intelligent Photographing Guidance System Based on Compositional Deep Features and Intepretable Machine Learning Model, An
* Interactive Style Space of Deep Features and Style Innovation
* Interpolation in Auto Encoders with Bridge Processes
* Interpretable Emotion Classification Using Temporal Convolutional Models
* Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition
* Interpretable security analysis of cancellable biometrics using constrained-optimized similarity-based attack
* Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction
* Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation
* Intra-Camera Supervised Person Re-Identification
* Intransitivity Model for Matchup and Pairwise Comparison, An
* Invariance-guided Stability Criterion for Time Series Clustering Validation, An
* Inventory and GLOF Susceptibility of Glacial Lakes in Hunza River Basin, Western Karakorum
* Inverting COSMIC-2 Phase Data to Bending Angle and Refractivity Profiles Using the Full Spectrum Inversion Method
* Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification
* Investigating the Effects of a Combined Spatial and Spectral Dimensionality Reduction Approach for Aerial Hyperspectral Target Detection Applications
* Investigating the Potential of a Newly Developed UAV-Mounted VNIR/SWIR Imaging System for Monitoring Crop Traits: A Case Study for Winter Wheat
* Investigating the Response of Temperature and Salinity in the Agulhas Current Region to ENSO Events
* Investigation of DNN Model Robustness Using Heterogeneous Datasets
* Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification, An
* IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition
* IPT: A Dataset for Identity Preserved Tracking in Closed Domains
* Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?
* Isomorphism, Canonization, and Definability for Graphs of Bounded Rank Width
* ISP4ML: The Role of Image Signal Processing in Efficient Deep Learning Vision Systems
* Iterative Bounding Box Annotation for Object Detection
* Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning
* JECL: Joint Embedding and Cluster Learning for Image-Text Pairs
* Joint compressive autoencoders for full-image-to-image hiding
* Joint Face Alignment and 3D Face Reconstruction with Efficient Convolution Neural Networks
* Joint Geoeffectiveness and Arrival Time Prediction of CMEs by a Unified Deep Learning Framework
* Joint Luminance and Chrominance Learning for Underwater Image Enhancement
* Joint Representation Learning and Feature Modeling Approach for One-class Recognition, A
* Joint Semantic-Instance Segmentation of 3D Point Clouds: Instance Separation and Semantic Fusion
* Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks
* Joint Super-Resolution and Deformable Registration Network for 3D Brain Images, A
* Joint Supervised and Self-Supervised Learning for 3D Real World Challenges
* Joint Two-Dimensional Deception Countering ISAR via Frequency Diverse Array
* Jointly Learning Multiple Curvature Descriptor for 3D Palmprint Recognition
* JT-MGCN: Joint-temporal Motion Graph Convolutional Network for Skeleton-Based Action Recognition
* JUMPS: Joints Upsampling Method for Pose Sequences
* Ka-Band Radar Cross-Section of Breaking Wind Waves
* Kernel-based Graph Convolutional Networks
* Kernel-based LIME with feature dependency sampling
* Killing Four Birds with one Gaussian Process: The Relation between different Test-Time Attacks
* KNN-Based Radar Detector for Coherent Targets in Non-Gaussian Noise, A
* Knowledge Distillation Beyond Model Compression
* Knowledge Distillation for Action Anticipation via Label Smoothing
* Knowledge Distillation with a Precise Teacher and Prediction with Abstention
* KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding
* KU-HAR: An open dataset for heterogeneous human activity recognition
* Label Incorporated Graph Neural Networks for Text Classification
* Label or Message: A Large-Scale Experimental Survey of Texts and Objects Co-Occurrence
* Label Self-Adaption Hashing for Image Retrieval
* LAMP-HQ: A Large-Scale Multi-pose High-Quality Database and Benchmark for NIR-VIS Face Recognition
* Land Cover-Specific Local Incidence Angle Correction: A Method for Time-Series Analysis of Forest Ecosystems
* Lane Detection based on Object Detection and Image-to-image Translation
* Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
* Large-Scale, Multiple Level-of-Detail Change Detection from Remote Sensing Imagery Using Deep Visual Feature Clustering
* Late Fusion of Bayesian and Convolutional Models for Action Recognition
* Learn to Segment Retinal Lesions and Beyond
* Learnable Higher-Order Representation for Action Recognition
* Learning a Dynamic High-Resolution Network for Multi-Scale Pedestrian Detection
* Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix
* Learning Connectivity with Graph Convolutional Networks
* Learning continuous temporal embedding of videos using pattern theory
* Learning Deep Lucas-Kanade Siamese Network for Visual Tracking
* Learning Deep Semantic Segmentation Network Under Multiple Weakly-Supervised Constraints for Cross-Domain Remote Sensing Image Semantic Segmentation
* Learning Defects in Old Movies from Manually Assisted Restoration
* Learning dictionaries of kinematic primitives for action classification
* Learning Disentangled Representations for Identity Preserving Surveillance Face Camouflage
* Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
* Learning Emotional-Blinded Face Representations
* Learning Error-Driven Curriculum for Crowd Counting
* Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game
* Learning from multimodal and multitemporal earth observation data for building damage mapping
* Learning from Web Data: Improving Crowd Counting via Semi-Supervised Learning
* Learning Graph Matching Substitution Weights based on a Linear Regression
* Learning Group Activities from Skeletons without Individual Action Labels
* Learning Image Inpainting from Incomplete Images using Self-Supervision
* Learning Interpretable Representation for 3D Point Clouds
* Learning Knowledge-Rich Sequential Model for Planar Homography Estimation in Aerial Video
* Learning Low-Shot Generative Networks for Cross-Domain Data
* Learning Methodologies to Generate Kernel-Learning-Based Image Downscaler for Arbitrary Scaling Factors
* Learning Metric Features for Writer-Independent Signature Verification using Dual Triplet Loss
* Learning Natural Thresholds for Image Ranking
* Learning Neural Textual Representations for Citation Recommendation
* Learning non-rigid surface reconstruction from spatia-temporal image patches
* Learning Object Deformation and Motion Adaption for Semi-supervised Video Object Segmentation
* Learning Parameter Distributions to Detect Concept Drift in Data Streams
* Learning Recurrent High-order Statistics for Skeleton-based Hand Gesture Recognition
* Learning Semantic Representations via Joint 3D Face Reconstruction and Facial Attribute Estimation
* Learning Sign-Constrained Support Vector Machines
* Learning sparse deep neural networks using efficient structured projections on convex constraints for green AI
* Learning Stable Deep Predictive Coding Networks with Weight Norm Supervision
* Learning Stereo Matchability in Disparity Regression Networks
* Learning To Find Good Correspondences Of Multiple Objects
* Learning to Implicitly Represent 3D Human Body From Multi-scale Features and Multi-view Images
* Learning to Prune in Training via Dynamic Channel Propagation
* Learning to Rank for Active Learning: A Listwise Approach
* Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection
* Learning to Segment Dynamic Objects using SLAM Outliers
* Learning to Sort Handwritten Text Lines in Reading Order through Estimated Binary Order Relations
* Learning to Take Directions One Step at a Time
* Learning Visual Voice Activity Detection with an Automatically Annotated Dataset
* Learning with Delayed Feedback
* Learning with Multiplicative Perturbations
* Let's Play Music: Audio-Driven Performance Video Generation
* Letter-Level Online Writer Identification
* Level Three Synthetic Fingerprint Generation
* Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation
* Leveraging auxiliary image descriptions for dense video captioning
* Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval
* Leveraging recent advances in deep learning for audio-Visual emotion recognition
* Leveraging Sequential Pattern Information for Active Learning from Sequential Data
* Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI
* Leveraging Unlabeled Data for Glioma Molecular Subtype and Survival Prediction
* LFIEM: Lightweight Filter-based Image Enhancement Model
* LFIR2Pose: Pose Estimation from an Extremely Low-resolution FIR image Sequence
* Light Field Image Quality Assessment Model Based on Symmetry and Depth Features, A
* Light-YOLOv3: License Plate Detection in Multi-Vehicle Scenario
* Light3DPose: Real-time Multi-Person 3D Pose Estimation from Multiple Views
* Lighter but Efficient Bit-Depth Expansion Network
* Lightweight Low-Resolution Face Recognition for Surveillance Applications
* Lightweight Network to Learn Optical Flow from Event Data, A
* Linear Recursive Non-Local Edge-Aware Filter
* LiNet: A Lightweight Network for Image Super Resolution
* Local Attention and Global Representation Collaborating for Fine-grained Classification
* Local Binary Quaternion Rotation Pattern for colour texture retrieval
* Local Clustering with Mean Teacher for Semi-supervised learning
* Local Descriptor with Physiological Characteristic for Finger Vein Recognition, A
* Local Facial Attribute Transfer through Inpainting
* Local Gradient Difference Features for Classification of 2D-3D Natural Scene Text Images
* Local Grouped Invariant Order Pattern for Grayscale-Inversion and Rotation Invariant Texture Classification
* Local Propagation for Few-Shot Learning
* Local- and Regional-Scale Forcing of Glacier Mass Balance Changes in the Swiss Alps
* Local-Global Interactive Network For Face Age Transformation
* Locality-Promoting Representation Learning
* Localization and Transformation Reconstruction of Image Regions: An Extended Congruent Triangles Approach
* Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning
* Localizing Anomalies From Weakly-Labeled Videos
* Locally-Connected, Irregular Deep Neural Networks for Biomimetic Active Vision in a Simulated Human
* Location Prediction in Real Homes of Older Adults based on K-Means in Low-Resolution Depth Videos
* LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition
* Log-likelihood Regularized KL Divergence for Video Prediction With a 3D Convolutional Variational Recurrent Network, A
* Logic-Based Traffic Flow Control for Ramp Metering and Variable Speed Limits: Part 1: Controller
* Long-Term Variation in the Tropospheric Nitrogen Dioxide Vertical Column Density over Korea and Japan from the MAX-DOAS Network, 2007-2017
* Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction
* Lookalike Disambiguation: Improving Face Identification Performance at Top Ranks
* Loop-closure detection by LiDAR scan re-identification
* Low Dimensional State Representation Learning with Reward-shaped Priors
* Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering
* Low-Complexity R-peak Detection Algorithm with Adaptive Thresholding for Wearable Devices, A
* Low-Cost Lipschitz-Independent Adaptive Importance Sampling of Stochastic Gradients
* Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture, A
* Lung segmentation on chest X-ray images in patients with severe abnormal findings using deep learning
* MA-LSTM: A Multi-Attention Based LSTM for Complex Pattern Extraction
* Machine Learning Techniques for Corneal Diseases Diagnosis: A Survey
* Machine Learning Techniques for Fine Dead Fuel Load Estimation Using Multi-Source Remote Sensing Data
* Machine-learned Regularization and Polygonization of Building Segmentation Masks
* Mad Max: Affine Spline Insights Into Deep Learning
* MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level
* MagnifierNet: Learning Efficient Small-scale Pedestrian Detector towards Multiple Dense Regions
* Magnifying Spontaneous Facial Micro Expressions for Improved Recognition
* Makeup Style Transfer on Low-quality Images with Weighted Multi-scale Attention
* Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
* Making of a Joint E-Learning Platform for Remote Sensing Education: Experiences and Lessons Learned, The
* Malware Detection by Exploiting Deep Learning over Binary Programs
* MANet: Multimodal Attention Network based Point-View Fusion for 3D Shape Recognition
* Maneuvering Target Detection Based on Subspace Subaperture Joint Coherent Integration
* Manhattan Room Layout Reconstruction from a Single 360 Image: A Comparative Study of State-of-the-Art Methods
* Manual-Label Free 3D Detection via An Open-Source Simulator
* Map-Based Temporally Consistent Geolocalization through Learning Motion Trajectories
* Mapping Arctic Lake Ice Backscatter Anomalies Using Sentinel-1 Time Series on Google Earth Engine
* Mapping crop types in complex farming areas using SAR imagery with dynamic time warping
* Mapping Impervious Surface Areas Using Time-Series Nighttime Light and MODIS Imagery
* Mapping Mangrove Zonation Changes in Senegal with Landsat Imagery Using an OBIA Approach Combined with Linear Spectral Unmixing
* Mapping Mature Post-Agricultural Forests in the Polish Eastern Carpathians with Archival Remote Sensing Data
* Mapping Particle Size and Soil Organic Matter in Tropical Soil Based on Hyperspectral Imaging and Non-Imaging Sensors
* Mapping Riparian Habitats of Natura 2000 Network (91E0*, 3240) at Individual Tree Level Using UAV Multi-Temporal and Multi-Spectral Data
* Mapping Smallholder Maize Farms Using Multi-Temporal Sentinel-1 Data in Support of the Sustainable Development Goals
* Mapping the Habitat Suitability of West Nile Virus Vectors in Southern Quebec and Eastern Ontario, Canada, with Species Distribution Modeling and Satellite Earth Observation Data
* Mapping trees along urban street networks with deep learning and street-level imagery
* Marine Oil Slick Detection Using Improved Polarimetric Feature Parameters Based on Polarimetric Synthetic Aperture Radar Data
* Mask-based Style-Controlled Image Synthesis Using a Mask Style Encoder
* Matching of Matching-Graphs: A Novel Approach for Graph Classification
* MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values
* MBD-GAN: Model-based image deblurring with a generative adversarial network
* Md-knn: An Instance-based Approach for Multi-Dimensional Classification
* Mean Decision Rules Method with Smart Sampling for Fast Large-Scale Binary SVM Classification
* MEAN: Multi - Element Attention Network for Scene Text Recognition
* Measuring Alpha and Beta Diversity by Field and Remote-Sensing Data: A Challenge for Coastal Dunes Biodiversity Monitoring
* Median-Shape Representation Learning for Category-Level Object Pose Estimation in Cluttered Environments
* MedZip: 3D Medical Images Lossless Compressor Using Recurrent Neural Network (LSTM)
* MEG: Multi-Evidence GNN for Multimodal Semantic Forensics
* Melting Layer Detection and Observation with the NCAR Airborne W-Band Radar
* Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines
* Merged 1D-2D Deep Convolutional Neural Networks for Nerve Detection in Ultrasound Images
* Meta Generalized Network for Few-Shot Classification
* Meta Learning via Learned Loss
* Meta Soft Label Generation for Noisy Labels
* Meta-VOS: Learning to Adapt Online Target-Specific Segmentation
* MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization
* Method and Applications of Lidar Modeling for Virtual Testing of Intelligent Vehicles
* Metrics for aerial, urban lidar point clouds
* MFI: Multi-range Feature Interchange for Video Action Recognition
* MFPP: Morphological Fragmental Perturbation Pyramid for Black-Box Model Explanations
* MFST: Multi-Features Siamese Tracker
* Micro-Doppler Effects Removed Sparse Aperture ISAR Imaging via Low-Rank and Double Sparsity Constrained ADMM and Linearized ADMM
* Microwave and Radar Week (MRW 2020): Selected Papers
* Mimetics: Towards Understanding Human Actions Out of Context
* Miniaturized Advanced Driver Assistance Systems: A Low-Cost Educational Platform for Advanced Driver Assistance Systems and Autonomous Driving
* Minimal Solvers for Indoor UAV Positioning
* Minority Class Oriented Active Learning for Imbalanced Datasets
* MINT: Deep Network Compression via Mutual Information-based Neuron Trimming
* MixedFusion: 6D Object Pose Estimation from Decoupled RGB-Depth Features
* MixNet for Generalized Face Presentation Attack Detection
* MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recognition
* Mixup Asymmetric Tri-Training for Heartbeat Classification Under Domain Shift
* MLDA-Net: Multi-Level Dual Attention-Based Network for Self-Supervised Monocular Depth Estimation
* Mobile Augmented Reality: Fast, Precise, and Smooth Planar Object Tracking
* Mobile Phone Surface Defect Detection Based on Improved Faster R-CNN
* Modality-wise relational reasoning for one-shot sensor-based activity recognition
* Model Decay in Long-Term Tracking
* Modeling and Classification of Alluvial Fans with DEMs and Machine Learning Methods: A Case Study of Slovenian Torrential Fans
* Modeling Extent-of-Texture Information for Ground Terrain Recognition
* Modeling Gully Erosion Susceptibility to Evaluate Human Impact on a Local Landscape System in Tigray, Ethiopia
* Modeling Long-Term Interactions to Enhance Action Recognition
* Modeling of Diurnal Changing Patterns in Airborne Crop Remote Sensing Images
* Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
* Modeling the Spatial Dynamics of Soil Organic Carbon Using Remotely-Sensed Predictors in Fuzhou City, China
* Modeling Water Quality Parameters Using Landsat Multispectral Images: A Case Study of Erlong Lake, Northeast China
* Modeling, Relocation, and Real-Time Inventory Control of One-Way Electric Cars Sharing Systems in a Stochastic Petri Nets Framework
* Modelling the Visibility of Baltic-Type Crude Oil Emulsion Dispersed in the Southern Baltic Sea
* modified Single-Shot multibox Detector for beyond Real-Time Object Detection, A
* Modulation Pattern Detection Using Complex Convolutions in Deep Learning
* Monitoring of the Production Process of Graded Concrete Component Using Terrestrial Laser Scanning
* Monitoring of Urban Sprawl and Densification Processes in Western Germany in the Light of SDG Indicator 11.3.1 Based on an Automated Retrospective Classification Approach
* Monitoring of Vegetation Disturbance around Protected Areas in Central Tanzania Using Landsat Time-Series Data
* Monitoring Subsidence in Urban Area by PSInSAR: A Case Study of Abbottabad City, Northern Pakistan
* Monitoring the Spatiotemporal Dynamics of Aeolian Desertification Using Google Earth Engine
* Monitoring the Structure of Regenerating Vegetation Using Drone-Based Digital Aerial Photogrammetry
* Monocular Visual-Inertial Navigation for Dynamic Environment
* Mood detection analyzing lyrics and audio signal based on deep learning architectures
* More Correlations Better Performance: Fully Associative Networks for Multi-label Image Classification
* Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging
* Motion Complementary Network for Efficient Action Recognition
* Motion Estimation Using Region-Level Segmentation and Extended Kalman Filter for Autonomous Driving
* Motion Segmentation with Pairwise Matches and Unknown Number of Motions
* Motion U-Net: Multi-cue Encoder-Decoder Network for Motion Segmentation
* Motion-supervised Co-Part Segmentation
* Moto: Enhancing Embedding with Multiple Joint Factors for Chinese Text Classification
* motor imagery EEG signal classification algorithm based on recurrence plot convolution neural network, A
* Movement-induced Priors for Deep Stereo
* Moving Source Localization in Passive Sensor Network With Location Uncertainty
* Moving Target Velocity Estimation Method Based on the MC-MASA SAR Mode, A
* MRP-Net: A Light Multiple Region Perception Neural Network for Multi-label AU Detection
* MS-Faster R-CNN: Multi-Stream Backbone for Improved Faster R-CNN Object Detection and Aerial Tracking from UAV Images
* MTGAN: Extending Test Case set for Deep Learning Image Classifier
* MTGAN: Mask and Texture-driven Generative Adversarial Network for Lung Nodule Segmentation
* Multi-Annotator Probabilistic Active Learning
* Multi-Attribute Learning With Highly Imbalanced Data
* Multi-Attribute Regression Network for Face Reconstruction
* Multi-Branch Attention Networks for Classifying Galaxy Clusters
* Multi-Branch Feature Fusion Strategy Based on an Attention Mechanism for Remote Sensing Image Scene Classification, A
* Multi-camera Sports Players 3D Localization with Identification Reasoning
* Multi-Dimensional Drought Assessment in Abbay/Upper Blue Nile Basin: The Importance of Shared Management and Regional Coordination Efforts for Mitigation
* Multi-Direction Convolution for Semantic Segmentation
* Multi-Domain Image-to-Image Translation with Adaptive Inference Graph
* Multi-feature fusion of deep networks for mitosis segmentation in histological images
* Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map
* Multi-Focus Image Fusion Method based on Fractal Dimension and Guided Filtering, A
* Multi-Frequency SDR-Based GBSAR: System Overview and First Results, A
* Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction
* Multi-head Self-relation Network for Scene Text Recognition, A
* Multi-label Contrastive Focal Loss for Pedestrian Attribute Recognition
* Multi-Laplacian GAN with Edge Enhancement for Face Super Resolution
* Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic Layer
* Multi-level Deep Learning Vehicle Re-identification using Ranked-based Loss Functions
* Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint
* Multi-modal Contextual Graph Neural Network for Text Visual Question Answering
* Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
* Multi-Modal Identification of State-Sponsored Propaganda on Social Media
* Multi-Objective Optimization of Quality in VVC Rate Control for Low-Delay Video Coding
* Multi-Order Feature Statistical Model for Fine-Grained Visual Categorization
* Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting
* Multi-scale 2D Representation Learning for weakly-supervised moment retrieval
* Multi-Scale and Attention based ResNet for Heartbeat Classification
* Multi-Scale Cascading Network with Compact Feature Learning for RGB-Infrared Person Re-Identification
* Multi-Scale Deep Pixel Distribution Learning for Concrete Crack Detection
* Multi-Scale Keypoint Matching
* Multi-scale Processing of Noisy Images using Edge Preservation Losses
* Multi-scale Relational Reasoning with Regional Attention for Visual Question Answering
* Multi-Scale Residual Pyramid Attention Network for Monocular Depth Estimation
* Multi-Scale Voxel Class Balanced ASPP for LIDAR Pointcloud Semantic Segmentation
* Multi-Scanning Based Recurrent Neural Network for Hyperspectral Image Classification
* Multi-Sector Oriented Object Detector for Accurate Localization in Optical Remote Sensing Images
* Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
* Multi-stage Attention based Visual Question Answering
* Multi-Stage Feature Pyramid Stereo Network-Based Disparity Estimation Approach for Two to Three-Dimensional Video Conversion
* Multi-stream slowFast graph convolutional networks for skeleton-based action recognition
* Multi-Task Collaborative Network for Light Field Salient Object Detection, A
* Multi-task Contextual Atrous Residual Network for Brain Tumor Detection Segmentation, A
* Multi-Task Fusion Deep Learning Model for Short-Term Intersection Operation Performance Forecasting
* Multi-Task Learning Based Traditional Mongolian Words Recognition
* Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information
* Multi-task Multi-view based Multi-objective Clustering Algorithm, A
* Multi-Task Neural Network for Action Recognition with 3D Key-Points, A
* Multi-Turn Video Question Generation via Reinforced Multi-Choice Attention Network
* Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery
* Multi-View Vehicle Detection Based on Fusion Part Model With Active Learning
* Multilinear Sampling Algorithm to Estimate Shapley Values, A
* Multimodal Biometric-Based Authentication with Secured Templates
* Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions
* Multimodal Local-Global Attention Network for Affective Video Content Analysis
* Multimodal Side- Tuning for Document Classification
* Multiple Antenna Selection and Successive Signal Detection for SM-Based IRS-Aided Communication
* Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks
* Multiple Future Prediction Leveraging Synthetic Trajectories
* Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network
* Multiple sclerosis identification in brain MRI images using wavelet convolutional neural networks
* Multiple-step Sampling for Dense Object Detection and Counting
* Multiscale Attention-Based Prototypical Network For Few-Shot Semantic Segmentation
* Multiscale Omnibearing Attention Networks for Person Re-Identification
* Multistage multimodal medical image fusion model using feature-adaptive pulse coupled neural network
* Multithreading Based Parallel Processing for Image Geometric Coregistration in SAR Interferometry
* Mutual Alignment between Audiovisual Features for End-to-End Audiovisual Speech Recognition
* Mutual Information based Method for Unsupervised Disentanglement of Video Representation
* Mutual-Supervised Feature Modulation Network for Occluded Pedestrian Detection
* Mutually Guided Dual-Task Network for Scene Text Detection
* Myocardial Function Imaging in Echocardiography Using Deep Learning
* N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding
* Named Entity Recognition and Relation Extraction with Graph Neural Networks in Semi Structured Documents
* NAS-EOD: an end-to-end Neural Architecture Search method for Efficient Object Detection
* Naturally Constrained Online Expectation Maximization
* Near-Infrared Depth-Independent Image Dehazing using Haar Wavelets
* Near-Ultraviolet to Near-Infrared Band Thresholds Cloud Detection Algorithm for TANSAT-CAPI
* Nearest Neighbor Classification Based on Activation Space of Convolutional Neural Network
* nearest neighbor-based active learning method and its application to time series classification, A
* NephCNN: A deep-learning framework for vessel segmentation in nephrectomy laparoscopic videos
* NetCalib: A Novel Approach for LiDAR-Camera Auto-calibration Based on Deep Learning
* Neural Architecture Search for Image Super-Resolution Using Densely Constructed Search Space: DeCoNAS
* Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks
* Neural Lip-Sync Framework for Synthesizing Photorealistic Virtual News Anchors, A
* Neural Machine Registration for Motion Correction in Breast DCE-MRI
* Neural vision-based semantic 3D world modeling
* NeuralFP: Out-of-distribution Detection using Fingerprints of Neural Networks
* NeuralPlan: Neural floorplan radiance fields for accelerated view synthesis
* Neuron-based Network Pruning Based on Majority Voting
* Neutral Cross-Entropy Loss Based Unsupervised Domain Adaptation for Semantic Segmentation
* New Constraints on Slip Behavior of the Jianshui Strike-Slip Fault from Faulted Stream Channel Risers and Airborne Lidar Data, SE Tibetan Plateau, China
* New Convex Loss Function For Multiple Instance Support Vector Machines, A
* new geodesic-based feature for characterization of 3D shapes: application to soft tissue organ temporal deformations, A
* New Inventories of Global Carbon Dioxide Emissions through Biomass Burning in 2001-2020
* New Linear Relation for Estimating Surface Broadband Emissivity in Arid Regions Based on FTIR and MODIS Products, A
* New Method for Winter Wheat Mapping Based on Spectral Reconstruction Technology, A
* Nighttime Pedestrian Detection Based on Feature Attention and Transformation
* NoGAN approach for image and video restoration and compression artifact removal, A
* Noise Robust Micro-Range Estimation Method for Precession Cone-Shaped Targets, A
* Non-Invasive Monitoring of Respiratory Rate and Respiratory Status during Sleep Using a Passive Radio-Frequency Identification System
* Non-Linear Response of PM2.5 Pollution to Land Use Change in China
* Nonlinear Ranking Loss on Riemannian Potato Embedding
* Nonsubsampled contourlet transform with cross-guided bilateral filter for despeckling of medical ultrasound images
* Norm Loss: An efficient yet effective regularization method for deep neural networks
* Not 3D Re-ID: Simple Single Stream 2D Convolution for Robust Video Re-identification
* Not all domains are equally complex: Adaptive Multi-Domain Learning
* Novel Actor Dual-Critic Model for Remote Sensing Image Captioning, A
* Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios, A
* Novel Adaptive Parameter Search Elastic Net Method for Fluorescent Molecular Tomography, A
* Novel Attention-based Aggregation Function to Combine Vision and Language, A
* Novel Computer-Aided Diagnostic System for Early Assessment of Hepatocellular Carcinoma, A
* Novel Deep-learning Pipeline for Light Field Image Based Material Recognition, A
* Novel Disaster Image Data-set and Characteristics Analysis using Attention Model, A
* Novel Image Representation Method Under a Non-Standard Positional Numeral System, A
* novel improved crow-search algorithm to classify the severity in digital mammograms, A
* Novel Iterative Rigid Image Registration Algorithm Based on the Newton Method, A
* Novel local information kernelized fuzzy C-means algorithm for image segmentation
* Novel Method to Mitigate the Multipath Error for BDS-2 Dam Deformation Monitoring, A
* Novel MIMO Radar Orthogonal Waveform Design Algorithm Based on Intelligent Ions Motion, A
* novel multi-loss-based deep adversarial network for handling challenging cases in semi-supervised image semantic segmentation, A
* Novel Random Forest Dissimilarity Measure for Multi-View Learning, A
* Novel Region of Interest Extraction Layer for Instance Segmentation, A
* Novel View Synthesis from only a 6-DoF Camera Pose by Two-stage Networks
* O-GAN: Object Manifold Embedding GAN for Image Generation by Disentangling Parameters into Pose and Shape Manifolds
* Object Classification of Remote Sensing Images Based on Optimized Projection Supervised Discrete Hashing
* Object Cosegmentation in Noisy Videos With Multilevel Hypergraph
* Object Detection in the DCT Domain: is Luminance the Solution?
* Object Detection Model Based on Scene-Level Region Proposal Self-Attention
* Object Detection on Monocular Images with Two-Dimensional Canonical Correlation Analysis
* Object Detection Using Dual Graph Network
* Object features and face detection performance: Analyses with 3D-rendered synthetic data
* Object Segmentation Tracking from Generic Video Cues
* Object Tracking in Hyperspectral-Oriented Video with Fast Spatial-Spectral Features
* Object-oriented Map Exploration and Construction Based on Auxiliary Task Aided DRL
* Occlusion-tolerant and personalized 3D human pose estimation in RGB images
* Ocean-Atmosphere Interactions during Hurricanes Marco and Laura (2020)
* OCT Image Segmentation Using Neural Architecture Search and SRGAN
* Offline-Online Change Detection for Sentinel-1 InSAR Time Series
* Offset Curves Loss for Imbalanced Problem in Medical Segmentation
* OmniFlowNet: a Perspective Neural Network Adaptation for Optical Flow Estimation in Omnidirectional Images
* On Embodied Visual Navigation in Real Environments Through Habitat
* On Identification and Retrieval of Near-Duplicate Biological Images: a New Dataset and Protocol
* On learning Random Forests for Random Forest-clustering
* On Morphological Hierarchies for Image Sequences
* On Plug-and-Play Regularization Using Linear Denoisers
* On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks
* On the detection-to-track association for online multi-object tracking
* On the Development of an Acoustic-Driven Method to Improve Driver's Comfort Based on Deep Reinforcement Learning
* On the Evaluation of Generative Adversarial Networks By Discriminative Models
* On the Global Self-attention Mechanism for Graph Convolutional Networks
* On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures
* On the Information of Feature Maps and Pruning of Deep Neural Networks
* On the Minimal Recognizable Image Patch
* On the Robustness of 3D Human Pose Estimation
* On the use of Benford's law to detect GAN-generated images
* On-Board Real-Time Ship Detection in HISEA-1 SAR Images Based on CFAR and Lightweight Deep Learning
* On-Device Text Image Super Resolution
* On-line learning the graph edit distance costs
* On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration
* On-Site Global Calibration of Mobile Vision Measurement System Based on Virtual Omnidirectional Camera Model
* One step clustering based on a-contrario framework for detection of alterations in historical violins
* One-Class Classification of Natural Vegetation Using Remote Sensing: A Review
* One-shot learning for acoustic identification of bird species in non-stationary environments
* One-shot Representational Learning for Joint Biometric and Device Authentication
* One-stage Multi-task Detector for 3D Cardiac MR Imaging
* Online Domain Adaptation for Person Re-Identification with a Human in the Loop
* Online Object Recognition Using CNN-based Algorithm on High-speed Camera Imaging: Framework for fast and robust high-speed camera object recognition based on population data cleansing and data ensemble
* Online trajectory recovery from offline handwritten Japanese kanji characters of multiple strokes
* Open Set Domain Recognition via Attention-Based GCN and Semantic Matching Optimization
* Open-World Group Retrieval with Ambiguity Removal: A Benchmark
* Operation and Topology Aware Fast Differentiable Architecture Search
* Optical and SAR Based Fusion Approach for Mapping Surface Water Dynamics over Mainland China, An
* Optical Flow based CNN for detection of unlearnt deepfake manipulations
* Optimal Strategies For Comparing Covariates To Solve Matching Problems
* Optimal Transport as a Defense Against Adversarial Attacks
* Optimal weighted hybrid pattern for content based medical image retrieval using modified spider monkey optimization
* Optimism in the Face of Adversity: Understanding and Improving Deep Learning Through Adversarial Robustness
* Optimized Deep Learning Model as a Basis for Fast UAV Mapping of Weed Species in Winter Wheat Crops
* Optimized hybrid classifier for diagnosing diabetic retinopathy: Iterative blood vessel segmentation process
* Optimized segmentation and classification for liver tumor segmentation and classification using opposition-based spotted hyena optimization
* Ordered Weighted Aggregation Networks for Video Face Recognition
* Ordinal Depth Classification Using Region-based Self-attention
* Orthographic Projection Linear Regression for Single Image 3D Human Pose Estimation
* Overcoming Noisy and Irrelevant Data in Federated Learning
* P NP, at least in Visual Question Answering
* P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions
* P2D: a self-supervised method for depth estimation from polarimetry
* PA-FlowNet: Pose-Auxiliary Optical Flow Network for Spacecraft Relative Pose Estimation
* Packet Reception Probabilities in Vehicular Communications Close to Intersections
* Pano-SfMLearner: Self-Supervised Multi-Task Learning of Depth and Semantics in Panoramic Videos
* Parallel Network to Learn Novelty from the Known
* Parallel Single-Pixel Imaging: A General Method for Direct-Global Separation and 3D Shape Reconstruction Under Strong Global Illumination
* Part-based Collaborative Spatio-temporal Feature Learning for Cloth-changing Gait Recognition
* Part-Relation-Aware Feature Fusion Network for Person Re-Identification
* Partial Monotone Dependence
* Partially Supervised Multi-Task Network for Single-View Dietary Assessment
* Particle Filter-Based Approach for Vehicle Trajectory Reconstruction Using Sparse Probe Data, A
* Passive Microwave Neural Network Precipitation Retrieval Algorithm for Climate Applications (PNPR-CLIM): Design and Verification, The
* Passive Sonar Target Classification Using Deep Generative beta-VAE
* PC-Net: A Deep Network for 3D Point Clouds Analysis
* PCANet: Pyramid Context-aware Network for Retinal Vessel Segmentation
* PEAN: 3D Hand Pose Estimation Adversarial Network
* Pedestrian Trajectory Prediction in Heterogeneous Traffic Using Pose Keypoints-Based Convolutional Encoder-Decoder Network
* Penalized K-Means Algorithms for Finding the Number of Clusters
* Penetration Analysis of Airborne Ku-Band Radar Versus Satellite Infrared Lidar Based on the Height and Energy Percentiles in the Boreal Forest, The
* Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment
* PeR-ViS: Person Retrieval in Video Surveillance using Semantic Description
* Perception matters: Exploring imperceptible and transferable anti-forensics for GAN-generated fake face imagery detection
* Perception-Based Inverse Tone Mapping Operator for High Dynamic Range Video Applications, A
* Performance Evaluation of Vis/NIR Hyperspectral Imaging to Predict Curcumin Concentration in Fresh Turmeric Rhizomes, A
* Performance Improvement of Spaceborne Carbon Dioxide Detection IPDA LIDAR Using Linearty Optimized Amplifier of Photo-Detector
* Person Perception Biases Exposed: Revisiting the First Impressions Dataset
* Person Recognition with HGR Maximal Correlation on Multimodal Data
* Personal Rapid Transport System Compatible With Current Railways and Metros Infrastructure
* Personalized Models in Human Activity Recognition using Deep Learning
* Petersen Graph Multi-Orientation Based Multi-Scale Ternary Pattern (PGMO-MSTP): An Efficient Descriptor for Texture and Material Recognition
* Phase Retrieval Using Conditional Generative Adversarial Networks
* Phase Velocity Estimation With Expanded Bandwidth in Viscoelastic Phantoms and Tissues
* Phenological Changes of Mongolian Oak Depending on the Micro-Climate Changes Due to Urbanization
* Phenology Effects on Physically Based Estimation of Paddy Rice Canopy Traits from UAV Hyperspectral Imagery
* PHNet: Parasite-Host Network for Video Crowd Counting
* Photometric Stereo with Twin-Fisheye Cameras
* PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks
* Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images
* PIF: Anomaly detection via preference embedding
* PIN: A Novel Parallel Interactive Network for Spoken Language Understanding
* Pixel-based Facial Expression Synthesis
* Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation
* Plane-based Approach for Indoor Point Clouds Registration, A
* Point in: Counting Trees with Weakly Supervised Segmentation Network
* point-based deep learning network for semantic segmentation of MLS point clouds, A
* PointDrop: Improving Object Detection from Sparse Point Clouds via Adversarial Data Augmentation
* PointSpherical: Deep Shape Context for Point Cloud Learning in Spherical Coordinates
* Polarimetric image augmentation
* PolyLaneNet: Lane Estimation via Deep Polynomial Regression
* Polynomial Universal Adversarial Perturbations for Person Re-Identification
* Porting A Convolutional Neural Network For Stereo Vision In Hardware
* Pose Variation Adaptation for Person Re-identification
* Pose-aware Multi-feature Fusion Network for Driver Distraction Recognition
* Pose-based Body Language Recognition for Emotion and Psychiatric Symptom Interpretation
* Pose-based Sign Language Recognition using GCN and BERT
* Pose-robust Face Recognition by Deep Meta Capsule network-based Equivariant Embedding
* PoseCVAE: Anomalous Human Activity Detection
* Position-aware and Symmetry Enhanced GAN for Radial Distortion Correction
* Position-Aware Safe Boundary Interpolation Oversampling
* Potential of a SAR Small-Satellite Constellation for Rapid Monitoring of Flood Extent
* Potential of Hybrid CNN-RF Model for Early Crop Mapping with Limited Input Data
* Potential of Sentinel-2 Satellite Images for Monitoring Green Waste Compost and Manure Amendments in Temperate Cropland
* PowerHC: non linear normalization of distances for advanced nearest neighbor classification
* Practical Method for High-Resolution Burned Area Monitoring Using Sentinel-2 and VIIRS, A
* Precise Temporal Localization for Complete Actions with Quantified Temporal Structure
* Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation
* Predicting Citywide Road Traffic Flow Using Deep Spatiotemporal Neural Networks
* Predicting Height to Crown Base of Larix olgensis in Northeast China Using UAV-LiDAR Data and Nonlinear Mixed Effects Models
* Predicting Online Video Advertising Effects with Multimodal Deep Learning
* Prediction of Obstructive Coronary Artery Disease from Myocardial Perfusion Scintigraphy using Deep Neural Networks
* Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds
* Preliminary Validation of Surface Reflections from Fengyun-3C Radio Occultation Data
* Pretraining Image Encoders without Reconstruction via Feature Prediction Loss
* Preview Path Tracking Control With Delay Compensation for Autonomous Vehicles
* PRF-Ped: Multi-scale Pedestrian Detector with Prior-based Receptive Field
* Price Suggestion for Online Second-hand Items
* Prior Knowledge about Attributes: Learning a More Effective Potential Space for Zero-Shot Recognition
* Privacy Attributes-aware Message Passing Neural Network for Visual Privacy Attributes Classification
* PrivAttNet: Predicting Privacy Risks in Images Using Visual Attention
* Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference
* Probabilistic Word Embeddings in Kinematic Space
* Probability Guided Maxout
* Progressive Adversarial Semantic Segmentation
* Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification
* Progressive Cluster Purification for Unsupervised Feature Learning
* Progressive Gradient Pruning for Classification, Detection and Domain Adaptation
* Progressive Learning Algorithm for Efficient Person Re-Identification
* Progressive Scene Segmentation Based on Self-Attention Mechanism
* Progressive Splitting and Upscaling Structure for Super-Resolution
* Progressive Unsupervised Domain Adaptation for Image-based Person Re-Identification
* Prominent Local Representation for Dynamic Textures Based on High-Order Gaussian-Gradients
* PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks
* Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition, A
* Proximal Imaging of Changes in Photochemical Reflectance Index in Leaves Based on Using Pulses of Green-Yellow Light
* Proximity Isolation Forests
* PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation
* PSDNet: A Balanced Architecture of Accuracy and Parameters for Semantic Segmentation
* Pseudo Multi-Port SRAM Circuit for Image Processing in Display Drivers
* Pseudo Rehearsal using non photo-realistic images
* P^2 Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation
* q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding
* Quality-based Representation for Unconstrained Face Recognition
* Quantification of Changes in Rice Production for 2003-2019 with MODIS LAI Data in Pursat Province, Cambodia
* Quantified Facial Temporal-Expressiveness Dynamics for Affect Analysis
* Quantify the Contribution of Dust and Anthropogenic Sources to Aerosols in North China by Lidar and Validated with CALIPSO
* Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation
* Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent
* Quantifying the Compound Factors of Forest Land Changes in the Pearl River Delta, China
* Quantifying the Use of Domain Randomization
* Quantitative Evaluation Framework of Video De-Identification Methods, A
* Quantitative Retrieval of Volcanic Sulphate Aerosols from IASI Observations
* Quantization in Relative Gradient Angle Domain For Building Polygon Estimation
* Quasibinary Classifier for Images with Zero and Multiple Labels
* Quaternion Capsule Networks
* Question-Agnostic Attention for Visual Question Answering
* R-Net: A Relationship Network for Efficient and Accurate Scene Text Detection
* Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation
* Radical Counter Network for Robust Chinese Character Recognition
* RADOLAN_API: An Hourly Soil Moisture Data Set Based on Weather Radar, Soil Properties and Reanalysis Temperature Data
* Randomized Algorithm for Sparse Recovery, A
* Randomized Transferable Machine
* Rank-based ordinal classification
* ReADS: A Rectified Attentional Double Supervised Network for Scene Text Recognition
* Real Time Fencing Move Classification and Detection at Touch Time during a Fencing Match
* Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5, A
* Real-Time Detection of Daytime and Night-Time Fire Hotspots from Geostationary Satellites
* Real-Time Driver Drowsiness Detection using Facial Action Units
* Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors
* Real-time End-to-End Lane ID Estimation Using Recurrent Networks
* Real-time Monocular Depth Estimation with Extremely Light-Weight Neural Network
* Real-time Pedestrian Lane Detection for Assistive Navigation using Neural Architecture Search
* Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation
* Real-time Semantic Segmentation via Region and Pixel Context Network
* Realization and Evaluation of an Instructor-Like Assistance System for Collision Avoidance
* Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos
* Recognizing Bengali Word Images - A Zero-Shot Learning Perspective
* Recognizing Multiple Text Sequences from an Image by Pure End-to-End Learning
* Reconstruction of Complex Roof Semantic Structures from 3D Point Clouds Using Local Convexity and Consistency
* Reconstruction of the Daily MODIS Land Surface Temperature Product Using the Two-Step Improved Similar Pixels Method
* Recovery of 2D and 3D Layout Information through an Advanced Image Stitching Algorithm using Scanning Electron Microscope Images
* Recurrent Deep Attention Network for Person Re-Identification
* Recurrent Graph Convolutional Networks for Skeleton-based Action Recognition
* Recursive Convolutional Neural Networks for Epigenomics
* Recursive Recognition of Offline Handwritten Mathematical Expressions
* Reducing False Positives in Object Tracking with Siamese Network
* Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic's Hypothesis Space to RKHS
* Reducing-Over-Time Tree for Event-based Data
* Refinement of interferometric SAR parameters using digital terrain model as an external reference
* RefiNet: 3D Human Pose Refinement with Depth Maps
* RegARD: Symmetry-Based Coarse Registration of Smartphone's Colorful Point Clouds with CAD Drawings for Low-Cost Digital Twin Buildings
* Region and Relations Based Multi Attention Network for Graph Classification
* Region of Interest-Based Coding Technique of Medical Images Using Varying Grading of Compression
* Region-based Non-local Operation for Video Classification
* Regional evaluation of satellite-based methods for identifying leaf unfolding date
* Regional GNSS-Derived SPCI: Verification and Improvement in Yunnan, China
* Regionalization of an Existing Global Forest Canopy Height Model for Forests of the Southern United States
* Registration of multi-platform point clouds using edge detection for rockfall monitoring
* Regression-Based Motion Vector Field for Video Coding
* Regularized Flexible Activation Function Combination for Deep Neural Networks
* Reinforcement Learning with Dual Attention Guided Graph Convolution for Relation Extraction
* Relatable Clothing: Detecting Visual Relationships between People and Clothing
* Relative Feature Importance
* Relevance Detection in Cataract Surgery Videos by Spatio- Temporal Action Localization
* Reliability of GAN Generated Data to Train and Validate Perception Systems for Autonomous Vehicles
* Remote and Proximal Assessment of Plant Traits
* Remote Estimation of Trophic State Index for Inland Waters Using Landsat-8 OLI Imagery
* Remote Sensing Based Spatial-Temporal Monitoring of the Changes in Coastline Mangrove Forests in China over the Last 40 Years
* Remote Sensing Image Augmentation Based on Text Description for Waterside Change Detection
* Remote Sensing Monitoring of Advancing and Surging Glaciers in the Tien Shan, 1990-2019
* Remote Sensing of Atmospheric Hydrogen Fluoride (HF) over Hefei, China with Ground-Based High-Resolution Fourier Transform Infrared (FTI
* Remote Sensing of Tropical Rainforest Biomass Changes in Hainan Island, China from 2003 to 2018
* Remote Sensing Time Series Classification Based on Self-Attention Mechanism and Time Sequence Enhancement
* Remote Sensing-Based Analysis of Spatial and Temporal Water Colour Variations in Baiyangdian Lake after the Establishment of the Xiong'an New Area
* Removing Backdoor-Based Watermarks in Neural Networks with Limited Data
* Removing Raindrops from a Single Image using Synthetic Data
* Representative Learning via Span-Based Mutual Information for PolSAR Image Classification
* RescueNet: Joint Building Segmentation and Damage Assessment from Satellite Imagery
* Research on Satellite Selection Strategy for Receiver Autonomous Integrity Monitoring Applications
* ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching
* Residual Fractal Network for Single Image Super Resolution by Widening and Deepening
* Residual Learning of Video Frame Interpolation Using Convolutional LSTM
* ResKD: Residual-Guided Knowledge Distillation
* ResMax: Detecting Voice Spoofing Attacks with Residual Network and Max Feature Map
* ResNet-like Architecture with Low Hardware Requirements
* Resource-Efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization
* Respecting Domain Relations: Hypothesis Invariance for Domain Generalization
* Responsive Social Smile: A Machine Learning based Multimodal Behavior Assessment Framework towards Early Stage Autism Screening
* Rethinking deep active learning: Using unlabeled data at model training
* Rethinking Domain Generalization Baselines
* Rethinking Experience Replay: a Bag of Tricks for Continual Learning
* Rethinking of Deep Models Parameters with Respect to Data Distribution
* Rethinking ReID: Multi-Feature Fusion Person Re-identification Based on Orientation Constraints
* Retinal image enhancement using adaptive histogram equalization tuned with nonsimilar grouping curvelet
* Retrieval of Arctic Vegetation Biophysical and Biochemical Properties from CHRIS/PROBA Multi-Angle Imagery Using Empirical and Physical Modelling
* Reverse-Time Migration Imaging of Ground-Penetrating Radar in NDT of Reinforced Concrete Structures
* Review of Big Data Applications in Urban Transit Systems, A
* Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises, A
* Review of Passive and Active Ultra-Wideband Baluns for Use in Ground Penetrating Radar, A
* Review of Works Combining GNSS and InSAR in Europe
* Revised Snow Cover Algorithm to Improve Discrimination between Snow and Clouds: A Case Study in Gran Paradiso National Park, A
* Revisiting Feature Fusion for RGB-T Salient Object Detection
* Revisiting Graph Neural Networks: Graph Filtering Perspective
* Revisiting ImprovedGAN with Metric Learning for Semi-Supervised Learning
* Revisiting Optical Flow Estimation in 360 Videos
* Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory
* Revisiting the Training of Very Deep Neural Networks without Skip Connections
* RGB-Infrared Person Re-identification via Image Modality Conversion
* Rich CNN Features for Water-Body Segmentation from Very High Resolution Aerial and Satellite Imagery
* Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition
* Riemannian Framework for Detecting Stimulus-Relevant Fiber Pathways, A
* RISEdb: a Novel Indoor Localization Dataset
* RLST: A Reinforcement Learning Approach to Scene Text Detection Refinement
* RMS-Net: Regression and Masking for Soccer Event Spotting
* RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm
* Road Network Metric Learning for Estimated Time of Arrival
* Robust Adaptive Cubature Kalman Filter Based on SVD for Dual-Antenna GNSS/MIMU Tightly Coupled Integration, A
* Robust and Fast Collision-Avoidance Approach for Micro Aerial Vehicles Using a Depth Sensor, A
* Robust Atmospheric Correction Procedure for Determination of Spectral Reflectance of Terrestrial Surfaces from Satellite Spectral Measurements, A
* Robust Audio-Visual Speech Recognition Based on Hybrid Fusion
* Robust Controller for Pursuing Trajectory and Force Estimations of a Bilateral Tele-Operated Hydraulic Manipulator
* Robust Framework for Simultaneous Localization and Mapping with Multiple Non-Repetitive Scanning Lidars, A
* Robust image coding on synthetic DNA: Reducing sequencing noise with inpainting
* Robust Lexicon-Free Confidence Prediction for Text Recognition
* Robust Localization of Retinal Lesions via Weakly-supervised Learning
* Robust Multipath-Assisted SLAM with Unknown Process Noise and Clutter Intensity
* Robust pedestrian detection in thermal imagery using synthesized images
* Robust Skeletonization for Plant Root Structure Reconstruction from MRI
* Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks
* RobusterNet: Improving Copy-Move Forgery Detection with Volterra-based Convolutions
* Role of Cycle Consistency for Generating Better Human Action Videos from a Single Frame, The
* RONELD: Robust Neural Network Output Enhancement for Active Lane Detection
* Rotation Detection in Finger Vein Biometrics using CNNs
* Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning
* Rotational Adjoint Methods for Learning-Free 3D Human Pose Estimation from IMU Data
* RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning
* RSAN: Residual Subtraction and Attention Network for Single Image Super-Resolution
* RSIMS: Large-Scale Heterogeneous Remote Sensing Images Management System
* RSINet: Rotation-Scale Invariant Network for Online Visual Tracking
* RWF-2000: An Open Large Scale Video Database for Violence Detection
* RWMF: A Real-World Multimodal Foodlog Database
* S-VoteNet: Deep Hough Voting with Spherical Proposal for 3D Object Detection
* S2I-Bird: Sound-to-Image Generation of Bird Species using Generative Adversarial Networks
* SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation
* SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation
* SAGE: Sequential Attribute Generator for Analyzing Glioblastomas Using Limited Dataset
* SAILenv: Learning in Virtual Visual Environments Made Simple
* SalED: Saliency prediction with a pithy encoder-decoder architecture sensing local and global information
* Saliency Prediction on Omnidirectional Images with Brain-Like Shallow Neural Network
* Salient Object Detection Based on Visual Perceptual Saturation and Two-Stream Hybrid Networks
* Salient Object Detection by Fusing Local and Global Contexts
* Sample-aware Data Augmentor for Scene Text Recognition
* Sample-Dependent Distance for 1: N Identification via Discriminative Feature Selection
* SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration
* SAT-Net: Self-Attention and Temporal Fusion for Facial Action Unit Detection
* Satellite Image Classification Using Cellular Automata
* Satellite-Based Mapping of High-Resolution Ground-Level PM2.5 with VIIRS IP AOD in China through Spatially Neural Network Weighted Regression
* SATGAN: Augmenting Age Biased Dataset for Cross-Age Face Recognition
* SCA Net: Sparse Channel Attention Module for Action Recognition
* Scalable Deep Neural Network to Detect Low Quality Images Without a Reference, A
* Scalable Direction-Search-Based Approach to Subspace Clustering
* Scalable Machine Learning Pipeline for Paddy Rice Classification Using Multi-Temporal Sentinel Data, A
* ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection
* Scene Text Detection with Selected Anchors
* Scientific Document Summarization using Citation Context and Multi-objective Optimization
* SDMA: Saliency-Driven Mutual Cross Attention for Multi-Variate Time Series
* Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks
* Seasonal and Diurnal Variations in Cloud-Top Phase over the Western North Pacific during 2017-2019
* Seasonal Inhomogeneous Nonconsecutive Arrival Process Search and Evaluation
* Seasonal Net Shortwave Radiation of Bare Arable Land in Poland and Israel According to Roughness and Atmospheric Irradiance
* Seasonal Precipitation Variability and Non-Stationarity Based on the Evolution Pattern of the Indian Ocean Dipole over the East Asia Region
* SECI-GAN: Semantic and Edge Completion for dynamic objects removal
* Second-order Attention Guided Convolutional Activations for Visual Recognition
* SegCaps: An efficient SegCaps network-based skin lesion segmentation in dermoscopic images
* Segmentation of Axillary and Supraclavicular Tumoral Lymph Nodes in PET/CT: A Hybrid CNN/Component-Tree Approach
* Segmentation of Intracranial Aneurysm Remnant in MRA using Dual-Attention Atrous Net
* Segmenting Kidney on Multiple Phase CT Images using ULBNet
* Segmenting Messy Text: Detecting Boundaries in Text Derived from Historical Newspaper Images
* Selecting Useful Knowledge from Previous Tasks for Future Learning in a Single Network
* Selection of Lee Filter Window Size Based on Despeckling Efficiency Prediction for Sentinel SAR Images
* Selective Kernel and Motion-emphasized Loss Based Attention-guided Network for HDR Imaging of Dynamic Scenes
* Self and Channel Attention Network for Person Re-Identification
* Self-Adaptive Neural Module Transformer for Visual Question Answering
* Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery, A
* Self-Matching CAM: A Novel Accurate Visual Explanation of CNNs for SAR Image Interpretation
* Self-paced Bottom-up Clustering Network with Side Information for Person Re-Identification
* Self-Play or Group Practice: Learning to Play Alternating Markov Game in Multi-Agent System
* Self-Selective Context for Interaction Recognition
* Self-supervised Detection and Pose Estimation of Logistical Objects in 3D Sensor Data
* Self-Supervised Domain Adaptation with Consistency Training
* Self-supervised GAN for Unsupervised Few-shot Object Recognition, A
* Self-Supervised Joint Encoding of Motion and Appearance for First Person Action Recognition
* Self-supervised Learning for Astronomical Image Classification
* Self-supervised learning of Dynamic Representations for Static Images
* Self-Supervised Learning with Graph Neural Networks for Region of Interest Retrieval in Histopathology
* Self-Supervised Monocular Depth Learning in Low-Texture Areas
* Self-Training for Domain Adaptive Scene Text Detection
* Semantic Bilinear Pooling for Fine-Grained Recognition
* Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis
* Semantic Object Segmentation in Cultural Sites using Real and Synthetic Data
* Semantic Segmentation for Pedestrian Detection from Motion in Temporal Domain
* Semantic Segmentation of Breast Ultrasound Image with Pyramid Fuzzy Uncertainty Reduction and Direction Connectedness Feature
* Semantic Segmentation Refinement Using Entropy and Boundary-guided Monte Carlo Sampling and Directed Regional Search
* Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation
* Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing
* Semantics-Guided Representation Learning with Applications to Visual Synthesis
* Semi-Automatic Method for Extracting Small Ground Fissures from Loess Areas Using Unmanned Aerial Vehicle Images, A
* Semi-Coupled Synthesis and Analysis Dictionary Pair Learning for Kinship Verification
* Semi-Supervised Class Incremental Learning
* Semi-supervised Deep Learning Techniques for Spectrum Reconstruction
* Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training
* Semi-Supervised GANs with Complementary Generator Pair for Retinopathy Screening
* Semi-Supervised Outdoor Image Generation Conditioned on Weather Signals
* Semi-supervised Person Re-identification by Attribute Similarity Guidance
* Semi-Supervised Segmentation for Coastal Monitoring Seagrass Using RPA Imagery
* Sensitivity of Near-Infrared Permanent Laser Scanning Intensity for Retrieving Soil Moisture on a Coastal Beach: Calibration Procedure Using In Situ Data
* Sensor-independent Pedestrian Detection for Personal Mobility Vehicles in Walking Space Using Dataset Generated by Simulation
* Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine
* Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine
* Sentinel-2 Exposed Soil Composite for Soil Organic Carbon Prediction
* Sentinel-3 SLSTR Atmospheric Motion Vectors Product at EUMETSAT, The
* Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks
* Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis
* Sequential Non-Rigid Factorisation for Head Pose Estimation
* SFPN: Semantic Feature Pyramid Network for Object Detection
* Shape Consistent 2D Keypoint Estimation under Domain Shift
* ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on
* Siamese Dynamic Mask Estimation Network for Fast Video Object Segmentation
* Siamese Fully Convolutional Tracker with Motion Correction
* Siamese Graph Convolution Network for Face Sketch Recognition: An application using Graph structure for face photo-sketch recognition
* Siamese-structure Deep Neural Network Recognizing Changes in Facial Expression According to the Degree of Smiling
* SiamMT: Real-Time Arbitrary Multi-Object Tracking
* SIDGAN: Single Image Dehazing without Paired Supervision
* Signal Generation using 1d Deep Convolutional Generative Adversarial Networks for Fault Diagnosis of Electrical Machines
* Signal Processing Plays a Key Role in Environmental Research Projects: Keeping People and Ecosystems Alive and Healthy Is Perhaps the 21st Century's Biggest Challenge
* Signature features with the visibility transformation
* Significance of the Transition to Biometric Template Protection: Explore the Future
* Silhouette Body Measurement Benchmarks
* SIMCO: SIMilarity-based object COunting
* Simple Domain Shifting Network for Generating Low Quality Images, A
* Simple Multi-Resolution Representation Learning for Human Pose Estimation
* Simultaneous Attack on CNN-Based Monocular Depth Estimation and Optical Flow Estimation
* Simultaneous Time-Varying Vibration and Nonlinearity Compensation for One-Period Triangular-FMCW Lidar Signal
* Simultaneous Video Stabilization and Rolling Shutter Removal
* Single Image Deblurring Using Bi-Attention Network
* Single Image Super-Resolution Restoration of TGO CaSSIS Colour Images: Demonstration with Perseverance Rover Landing Site and Mars Science Targets
* Single image super-resolution via hybrid resolution NSST prediction
* Single Image Super-Resolution with Dynamic Residual Connection
* Single View Learning in Action Recognition
* Single-modal Incremental Terrain Clustering from Self-Supervised Audio-Visual Feature Learning
* Sketch based Community Detection via Representative Node Sampling
* Sketch-SNet: Deeper Subdivision of Temporal Cues for Sketch Recognition
* SketchDesc: Learning Local Sketch Descriptors for Multi-View Correspondence
* Skin Lesion Classification Using Weakly-supervised Fine-grained Method
* SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition
* Sliding Mode Network Perimeter Control
* Slimming ResNet by Slimming Shortcut
* Small Object Detection by Generative and Discriminative Learning
* Small Object Detection Leveraging on Simultaneous Super-resolution
* Smart Inference for Multidigit Convolutional Neural Network based Barcode Decoding
* Snapshot Hyperspectral Imaging Based on Weighted High-order Singular Value Regularization
* Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets
* Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify Icing Variability and Processes
* Social Network Analysis using Knowledge-Graph Embeddings and Convolution Operations*
* Soft Label and Discriminant Embedding Estimation for Semi-Supervised Classification
* Softer Pruning, Incremental Regularization
* SoftmaxOut Transformation-Permutation Network for Facial Template Protection
* Soil Moisture Retrievals Using Multi-Temporal Sentinel-1 Data over Nagqu Region of Tibetan Plateau
* SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs
* Space-Time Domain Tensor Neural Networks: An Application on Human Pose Classification
* Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning
* Sparse SAR Imaging and Quantitative Evaluation Based on Nonconvex and TV Regularization
* Sparse-Dense Subspace Clustering
* Spatial Analyses and Susceptibility Modeling of Thermokarst Lakes in Permafrost Landscapes along the Qinghai-Tibet Engineering Corridor
* Spatial and Temporal Variability of Soil Salinity in the Yangtze River Estuary Using Electromagnetic Induction
* Spatial Bias in Vision-Based Voice Activity Detection
* Spatial Difference of Terrestrial Water Storage Change and Lake Water Storage Change in the Inner Tibetan Plateau
* Spatial V2X Traffic Density Channel Characterization for Urban Environments
* Spatial-Aware GAN for Unsupervised Person Re-identification
* Spatial-related and Scale-aware Network for Crowd Counting
* Spatial-Temporal Distribution of the Freeze-Thaw Cycle of the Largest Lake (Qinghai Lake) in China Based on Machine Learning and MODIS from 2000 to 2020
* Spatial-Temporal Relation Reasoning for Action Prediction in Videos
* Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model
* Spatio-Temporal Assessment of Global Gridded Evapotranspiration Datasets across Iran
* Spatio-Temporal Assessment of Surface Moisture and Evapotranspiration Variability Using Remote Sensing Techniques
* Spatio-Temporal Mitosis Detection in Time-Lapse Phase-Contrast Microscopy Image Sequences: A Benchmark
* Spatiotemporal Changes of Coastline over the Yellow River Delta in the Previous 40 Years with Optical and SAR Remote Sensing
* Spatiotemporal Changes of Winter Wheat Planted and Harvested Areas, Photosynthesis and Grain Production in the Contiguous United States from 2008-2018
* Spatiotemporal Modeling of Coniferous Forests Dynamics along the Southern Edge of Their Range in the Central Russian Plain
* Spatiotemporal Patterns of Hillslope Erosion Investigated Based on Field Scouring Experiments and Terrestrial Laser Scanning
* Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint, A
* spectral index for winter wheat mapping using multi-temporal Landsat NDVI data of key growth stages, A
* Speeding-up pruning for Artificial Neural Networks: Introducing Accelerated Iterative Magnitude Pruning
* Spherically Optimized RANSAC Aided by an IMU for Fisheye Image Matching
* Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection
* Spring Phenological Sensitivity to Climate Change in the Northern Hemisphere: Comprehensive Evaluation and Driving Force Analysis
* SSDL: Self-Supervised Domain Learning for Improved Face Recognition
* Stabilized Calculation of Gaussian Smoothing and Its Differentials Using Attenuated Sliding Fourier Transform
* Stacked U-Shape Network With Channel-Wise Attention for Salient Object Detection
* Stage-Wise Neural Architecture Search
* STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
* Statistical Characteristics of Mesoscale Convective Systems Initiated over the Tibetan Plateau in Summer by Fengyun Satellite and Precipitation Estimates
* Stochastic 3D rock reconstruction using GANs
* Stochastic Label Refinery: Toward Better Target Label Distribution
* Stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent
* Story comparison for estimating field of view overlap in a video collection
* Strategy of Parallel Seed-Based Image Segmentation Algorithms for Handling Massive Image Tiles over the Spark Platform, A
* Stratified Multi-Task Learning for Robust Spotting of Scene Texts
* Streaming End-to-End Multi-Talker Speech Recognition
* Street-Map Based Validation of Semantic Segmentation in Autonomous Driving
* Stroke Based Posterior Attention for Online Handwritten Mathematical Expression Recognition
* StrongPose: Bottom-up and Strong Keypoint Heat Map Based Pose Estimation
* Structure-aware completion of photogrammetric meshes in urban road environment
* Study of the Application and the Limitations of GPR Investigation on Underground Survey of the Korean Expressways, A
* Study on Radar Echo-Filling in an Occlusion Area by a Deep Learning Algorithm
* Stylized-Colorization for Line Arts
* Submonthly Surface Water Classification Framework via Gap-Fill Imputation and Random Forest Classifiers of Landsat Imagery, A
* Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning
* Subspace Clustering via Joint Unsupervised Feature Selection
* Subspace clustering via stacked independent subspace analysis networks with sparse prior information
* Subtask Attention Based Object Detection in Remote Sensing Images
* Successive Graph Convolutional Network for Image De-raining
* Super-Resolution Enhanced Medical Image Diagnosis With Sample Affinity Interaction
* Super-resolution Guided Pore Detection for Fingerprint Recognition
* Super-resolving blurry face images with identity preservation
* Superpixel-based Refinement for Object Proposal Generation
* Supervised Classification Using Graph-based Space Partitioning for Multiclass Problems
* Supervised Detection of Ionospheric Scintillation in Low-Latitude Radio Occultation Measurements
* Supervised Domain Adaptation using Graph Embedding
* Supervised Feature Embedding for Classification by Learning Rank-based Neighborhoods
* Supervised Method for Congestion Detection at Entry and Exit Corridors of Public Places
* Supporting Skin Lesion Diagnosis with Content-Based Image Retrieval
* Suppressing Features That Contain Disparity Edge For Stereo Matching
* Surface IR Reflectance Estimation and Material Recognition using ToF Camera
* Surface Material Dataset for Robotics Applications (SMDRA): A Dataset with Friction Coefficient and RGB-D for Surface Segmentation
* Surface Water Changes in Dongting Lake from 1975 to 2019 Based on Multisource Remote-Sensing Images
* Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation, The
* Survey of Multiple Pedestrian Tracking Based on Tracking-by-Detection Framework, A
* Survey of Rain Fade Models for Earth-Space Telecommunication Links: Taxonomy, Methods, and Comparative Study, A
* Survey of Remote Sensing and Geographic Information System Applications for Flash Floods, A
* Switching Dynamical Systems with Deep Neural Networks
* Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment
* SynDHN: Multi-Object Fish Tracker Trained on Synthetic Underwater Videos
* SyNet: An Ensemble Network for Object Detection in UAV Images
* Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability
* Systematic Investigation on Deep Architectures for Automatic Skin Lesions Classification, A
* Systematic Investigation on end-to-end Deep Recognition of Grocery Products in the Wild, A
* T-SVD Based Non-convex Tensor Completion and Robust Principal Component Analysis
* TAAN: Task-Aware Attention Network for Few-shot Classification
* Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks
* Tackling Occlusion in Siamese Tracking with Structured Dropouts
* Talking Face Generation via Learning Semantic and Temporal Synchronous Landmarks
* Tarsier: Evolving Noise Injection in Super-Resolution GANs
* Task-based Focal Loss for Adversarially Robust Meta-Learning
* TCATD: Text Contour Attention for Scene Text Detection
* Teacher-Student Competition for Unsupervised Domain Adaptation
* Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion
* Technical a Gaussian Mixture Model to Separate Birds and Insects in Single-Polarization Weather Radar Data
* Temperature and Relative Humidity Profile Retrieval from Fengyun-3D/HIRAS in the Arctic Region
* Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition
* Temporal Binary Representation for Event-Based Action Recognition
* Temporal Collaborative Filtering with Graph Convolutional Neural Networks
* Temporal Extension Module for Skeleton-Based Action Recognition
* Temporal Feature Enhancement Network with External Memory for Object Detection in Surveillance Video
* Temporal Pattern Detection in Time-Varying Graphical Models
* Temporal Pulses Driven Spiking Neural Network for Time and Power Efficient Object Recognition in Autonomous Driving
* Temporal Variability of Oceanic Mesoscale Events in the Gulf of California
* Temporally Coherent Embeddings for Self-Supervised Video Representation Learning
* Tensor Factorization of Brain Structural Graph for Unsupervised Classification in Multiple Sclerosis
* Tensor Methods in Computer Vision and Deep Learning
* Tensorized Feature Spaces for Feature Explosion
* Text Baseline Recognition Using a Recurrent Convolutional Neural Network
* Text Recognition - Real World Data and Where to Find Them
* Text Recognition in Real Scenarios with a Few Labeled Samples
* Text Synopsis Generation for Egocentric Videos
* Textual-Content-Based Classification of Bundles of Untranscribed Manuscript Images
* TGCRBNW: A Dataset for Runner Bib Number Detection (and Recognition) in the Wild
* Thermal Characterisation of Unweighted and Weighted Networks
* Thermal Image Enhancement using Generative Adversarial Network for Pedestrian Detection
* Thermography based breast cancer detection using self-adaptive gray level histogram equalization color enhancement method
* Three-dimensional choroid neovascularization growth prediction from longitudinal retinal OCT images based on a hybrid model
* Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
* Thresholding Analysis and Feature Extraction from 3D Ground Penetrating Radar Data for Noninvasive Assessment of Peanut Yield
* Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions
* Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher
* Tiny Object Detection in Aerial Images
* TinyVIRAT: Low-resolution Video Action Recognition
* To Honor our Heroes: Analysis of the Obituaries of Australians Killed in Action in WWI and WWII
* Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification
* Total Estimation from RGB Video: On-line Camera Self-Calibration, Non-Rigid Shape and Motion
* Total Whitening for Online Signature Verification Based on Deep Representation
* Toward Building a Data-Driven System For Detecting Mounting Actions of Black Beef Cattle
* Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco
* Toward Text-independent Cross-lingual Speaker Recognition Using English-Mandarin-Taiwanese Dataset
* Towards a Fully Automated 3D Reconstruction System Based on LiDAR and GNSS in Challenging Scenarios
* Towards Artifacts-Free Image Defogging
* Towards Automatic Recognition of Wakes Generated by Dark Vessels in Sentinel-1 Images
* Towards Balanced Learning for Instance Recognition
* Towards Effective BIM/GIS Data Integration for Smart City by Integrating Computer Graphics Technique
* Towards Efficient 3D Point Cloud Scene Completion via Novel Depth View Synthesis
* Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks
* Towards life-long mapping of dynamic environments using temporal persistence modeling
* Towards Low-Bit Quantization of Deep Neural Networks with Limited Data
* Towards NIR-VIS Masked Face Recognition
* Towards Practical Compressed Video Action Recognition: A Temporal Enhanced Multi-Stream Network
* Towards Robust Learning with Different Label Noise Distributions
* Towards Tackling Multi-Label Imbalances in Remote Sensing Imagery
* Towards Unconstrained Facial Landmark Detection Robust to Diverse Cropping Manners
* Tracking Fast Moving Objects by Segmentation Network
* Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks
* Trajectory representation learning for Multi-Task NMRDP planning
* Trajectory-User Link with Attention Recurrent Networks
* Transfer Learning Through Weighted Loss Function and Group Normalization for Vessel Segmentation from Retinal Images
* Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting
* Transferable Adversarial Attacks for Deep Scene Text Detection
* Transferable Model for Shape Optimization subject to Physical Constraints
* Transformer Reasoning Network for Image-Text Matching and Retrieval
* Transformer-Based Network for Anisotropic 3D Medical Image Segmentation, A
* Transformer-based Radical Analysis Network for Chinese Character Recognition, A
* Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection
* Transitional Asymmetric Non-local Neural Networks for Real-World Dirt Road Segmentation
* Translating Adult's Focus of Attention to Elderly's
* Translation Resilient Opportunistic WiFi Sensing
* TreeRNN: Topology-Preserving Deep Graph Embedding and Learning
* Triple novelty block detection and classification approach for lung tumor analysis
* Triplet-path Dilated Network for Detection and Segmentation of General Pathological Images
* Trnasformer Networks for Trajectory Forecasting
* Tropical Cyclone Wind Speeds from WindSat, AMSR and SMAP: Algorithm Development and Testing
* TSDM: Tracking by SiamRPN++ with a Depth-refiner and a Mask-generator
* TSMSAN: A Three-Stream Multi-Scale Attentive Network for Video Saliency Detection
* Two parallel versions of VF3: Performance analysis on a wide database of graphs
* Two-Level Attention-based Fusion Learning for RGB-D Face Recognition
* Two-Stage Adaptive Object Scene Flow Using Hybrid CNN-CRF Model
* Two-Stage Stochastic Choice Modeling Approach for Electric Vehicle Charging Station Network Design in Urban Communities
* two-step approach to Lidar-Camera calibration, A
* Two-Stream Recurrent Network for Skeleton-based Human Interaction Recognition, A
* Two-Stream Temporal Convolutional Network for Dynamic Facial Attractiveness Prediction
* UAV-Based Remote Sensing Applications for Bridge Condition Assessment
* UCCTGAN: Unsupervised Clothing Color Transformation Generative Adversarial Network
* UDBNET: Unsupervised Document Binarization Network via Adversarial Game
* UHRSNet: A Semantic Segmentation Network Specifically for Ultra-High-Resolution Images
* Ultrasound Image Restoration Using Weighted Nuclear Norm Minimization
* Uncertainty Guided Multi-Scale Attention Network for Raindrop Removal From a Single Image
* Uncertainty Guided Recognition of Tiny Craters on the Moon
* Uncertainty of Drone-Derived DEMs and Significance of Detected Morphodynamics in Artificially Scraped Dunes
* Uncertainty-Aware Data Augmentation for Food Recognition
* Uncertainty-sensitive Activity Recognition: A Reliability Benchmark and the CARING Models
* Unconstrained Facial Expression Recogniton Based on Cascade Decision and Gabor Filters
* Unconstrained Vision Guided UAV Based Safe Helicopter Landing
* Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning
* Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
* Understanding when spatial transformer networks do not support invariance, and what to do about it
* Unified Framework for Distance-Aware Domain Adaptation, A
* Uniform and Non-uniform Sampling Methods for Sub-linear Time k-means Clustering
* Unifying Review of Deep and Shallow Anomaly Detection, A
* Universal Automatic Bottom Tracking Method of Side Scan Sonar Data Based on Semantic Segmentation, A
* Universal Control Scheme of Human-Like Steering in Multiple Driving Scenarios, A
* Unsupervised 3D Human Pose Estimation in Multi-view-multi-pose Video
* Unsupervised Approach towards Varying Human Skin Tone Using Generative Adversarial Networks, An
* Unsupervised Co-Segmentation for Athlete Movements and Live Commentaries Using Crossmodal Temporal Proximity
* Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion
* Unsupervised deep learning for text line segmentation
* Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images
* Unsupervised Disentangling of Viewpoint and Residues Variations by Substituting Representations for Robust Face Recognition
* Unsupervised Domain Adaptation for Object Detection in Cultural Sites
* Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling
* Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training
* Unsupervised Face Manipulation via Hallucination
* Unsupervised Feature Learning for Event Data: Direct vs. Inverse Problem Formulation
* Unsupervised Learning of Depth from Monocular Videos Using 3D-2D Corresponding Constraints
* Unsupervised Learning of Facial Landmarks based on Inter-Intra Subject Consistencies
* Unsupervised Monocular Depth Estimation via Recursive Stereo Distillation
* Unsupervised Moving Object Detection through Background Models for PTZ Camera
* Unsupervised Multi-Task Domain Adaptation
* Unsupervised Sound Source Localization From Audio-Image Pairs Using Input Gradient Map
* Unusual Fish Assemblages Associated with Environmental Changes in the East China Sea in February and March 2017
* Unveiling Groups of Related Tasks in Multi-Task Learning
* Urban functional zone mapping by integrating high spatial resolution nighttime light and daytime multi-view imagery
* Urban Heat Island Effects on Megacities in Desert Environments Using Spatial Network Analysis and Remote Sensing Data: A Case Study from Western Saudi Arabia
* Urban Traffic Route Guidance Method With High Adaptive Learning Ability Under Diverse Traffic Scenarios
* Use of GNSS Tropospheric Delay Measurements for the Parameterization and Validation of WRF High-Resolution Re-Analysis over the Western Gulf of Corinth, Greece: The PaTrop Experiment
* Use of Superspheroids as Surrogates for Modeling Electromagnetic Wave Scattering by Ice Crystals, The
* Use of Virtual Reality to Promote Sustainable Tourism: A Case Study of Wooden Churches Historical Monuments from Romania, The
* User-Independent Gaze Estimation by Extracting Pupil Parameter and Its Mapping to the Gaze Angle
* Using Artificial Intelligence to Estimate the Probability of Forest Fires in Heilongjiang, Northeast China
* Using High-Spatial Resolution UAV-Derived Data to Evaluate Vegetation and Geomorphological Changes on a Dune Field Involved in a Restoration Endeavour
* Using Landsat Imagery to Assess Burn Severity of National Forest Inventory Plots
* Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care
* Using Meta Labels for the Training of Weighting Models in a Sample-Specific Late Fusion Classification Architecture
* Using Scene Graphs for Detecting Visual Relationships
* Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving
* Using Sentinel-1, Sentinel-2, and Planet Imagery to Map Crop Type of Smallholder Farms
* Using UAV-Based Photogrammetry to Obtain Correlation between the Vegetation Indices and Chemical Analysis of Agricultural Crops
* Using Uncrewed Aerial Vehicles for Identifying the Extent of Invasive Phragmites australis in Treatment Areas Enrolled in an Adaptive Management Program
* Utilising Visual Attention Cues for Vehicle Detection and Tracking
* Vacant Parking Space Detection based on Task Consistency and Reinforcement Learning
* Validation and consistency assessment of land surface temperature from geostationary and polar orbit platforms: SEVIRI/MSG and AVHRR/Metop
* Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States
* Validation of NOAA CyGNSS Wind Speed Product with the CCMP Data
* Validation of Satellite-Based Precipitation Products from TRMM to GPM
* Variability of Net Primary Productivity and Associated Biophysical Drivers in Baha de La Paz (Mexico)
* Variational Capsule Encoder
* Variational Deep Embedding Clustering by Augmented Mutual Information Maximization
* Variational Inference with Latent Space Quantization for Adversarial Resilience
* Variational Information Bottleneck Model for Accurate Indoor Position Recognition
* Variations in Channel Centerline Migration Rate and Intensity of a Braided Reach in the Lower Yellow River
* Vehicle Classification from Profile Measures
* Vehicle Lane Merge Visual Benchmark
* Verifying the Causes of Adversarial Examples
* Versatile Crack Inspection Portable System based on Classifier Ensemble and Controlled Illumination, A
* Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatio-Temporal Graph Convolutional Network for Action Recognition
* Vesselness Filters: A Survey with Benchmarks Applied to Liver Imaging
* VGG-Embedded Adaptive Layer-Normalized Crowd Counting Net with Scale-Shuffling Modules
* Viability of Optical Coherence Tomography for Iris Presentation Attack Detection
* Video Analytics Gait Trend Measurement for Fall Prevention and Health Monitoring
* Video Anomaly Detection by Estimating Likelihood of Representations
* Video Episode Boundary Detection with Joint Episode-Topic Model
* Video Face Manipulation Detection Through Ensemble of CNNs
* Video Lightening with Dedicated CNN Architecture
* Video Moment Localization via Deep Cross-Modal Hashing
* Video Object Detection Using Object's Motion Context and Spatio-Temporal Feature Aggregation
* Video reconstruction by spatio-temporal fusion of blurred-coded image pair
* Video Representation Fusion Network For Multi-Label Movie Genre Classification
* Video semantic segmentation using deep multi-view representation learning
* Video Summarization with a Dual Attention Capsule Network
* Video-based Facial Expression Recognition using Graph Convolutional Networks
* Visibility Restoration in Infra-Red Images
* Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks
* Vision-Based Multi-Modal Framework for Action Recognition
* Visual Interestingness Prediction: A Benchmark Framework and Literature Review
* Visual Localization for Autonomous Driving: Mapping the Accurated Location in the City Maze
* Visual Object Tracking in Drone Images with Deep Reinforcement Learning
* Visual Oriented Encoder: Integrating Multimodal and Multi-Scale Contexts for Video Captioning
* Visual Prediction of Driver Behavior in Shared Road Areas
* Visual Saliency Oriented Vehicle Scale Estimation
* Visual Style Extraction from Chart Images for Chart Restyling
* VITON-GT: An Image-based Virtual Try-On Model with Geometric Transformations
* VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data
* VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner- Take-All Circuits
* Voxel Grid-Based Fast Registration of Terrestrial Point Cloud
* VPU Specific CNNs through Neural Architecture Search
* VR Sickness Assessment with Perception Prior and Hybrid Temporal Features
* VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing
* VSR++: Improving Visual Semantic Reasoning for Fine-Grained Image-Text Matching
* VTT: Long-term Visual Tracking with Transformers
* Walk the Lines: Object Contour Tracing CNN for Contour Completion of Ships
* Wasserstein k-means with sparse simplex projection
* Watch Out for the Tailings Pond, a Sharp Edge Hanging over Our Heads: Lessons Learned and Perceptions from the Brumadinho Tailings Dam Failure Disaster
* Watch Your Strokes: Improving Handwritten Text Recognition with Deformable Convolutions
* Watermelon: a Novel Feature Selection Method Based on Bayes Error Rate Estimation and a New Interpretation of Feature Relevance and Redundancy
* Wave-Filtered Surf Zone Circulation under High-Energy Waves Derived from Video-Based Optical Systems
* Wavelet Attention Embedding Networks for Video Super-Resolution
* Weak Coupling of Semi-Supervised Learning with Generative Adversarial Networks for Malware Classification, A
* Weakly Supervised Attention Rectification for Scene Text Recognition
* Weakly Supervised Body Part Segmentation with Pose based Part Priors
* Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans
* Weakly Supervised Learning for Raindrop Removal on a Single Image
* Weakly Supervised Learning through Rank-based Contextual Measures
* Weakly Supervised Multi-Object Tracking and Segmentation
* Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
* Webly Supervised Image-Text Embedding with Noisy Tag Refinement
* Weight Estimation from an RGB-D camera in top-view configuration
* WeightAlign: Normalizing Activations by Weight Alignment
* Weighted Adaptive Image Super-Resolution Scheme Based on Local Fractal Feature and Image Roughness
* Weighted Information Models for the Quantitative Prediction and Evaluation of the Geothermal Anomaly Area in the Plateau: A Case Study of the Sichuan-Tibet Railway
* What and How? Jointly Forecasting Human Action and Pose
* What nodes vote to? Graph classification without readout phase
* Which Airline is This? Airline Logo Detection in Real-World Weather Conditions
* Which are the factors affecting the performance of audio surveillance systems?
* Wireless Localisation in WiFi using Novel Deep Architectures
* WRGPruner: A new model pruning solution for tiny salient object detection
* Writer Identification Using Deep Neural Networks: Impact of Patch Size and Number of Patches
* XGBoost to Interpret the Opioid Patients' State Based on Cognitive and Physiological Measures
* Yolo+FPN: 2D and 3D Fused Object Detection With an RGB-D Camera
* You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network
* You Ought to Look Around: Precise, Large Span Action Detection
* Zero shot augmentation learning in internet of biometric things for health signal processing
* Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network
* Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels
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