Journals starting with ip_3

IP(3) * Active Mesh: A Feature Seeking and Tracking Image Sequence Representation Scheme
* Adaptive Image Region-Growing
* Adaptive model-based motion estimation
* Algorithm for Successive Identification of Reflections, An
* Analysis of interlaced video signals and its applications
* Avoidance of Additional Aliasing in Multipass Image Rotations
* Bayesian approach to image expansion for improved definition, A
* Bayesian reconstruction of signals invariant under a space-group symmetry from Fourier transform magnitudes
* Bit allocation for dependent quantization with applications to multiresolution and MPEG video coders
* Cell-loss concealment techniques for layered video codecs in an ATM network
* Combined Markov Random Field and Wave-Packet Transform-Based Approach for Image Segmentation, A
* Data compression on multifont Chinese character patterns
* Detection Of Composite Edges
* development of symmetric extension method for subband image coding, A
* Effects of luminance quantization error on color image processing
* Efficient Algorithm to Compute the Complete Set of Discrete Gabor Coefficients, An
* Efficient Multiscale Regularization With Applications To The Computation Of Optical Flow
* Efficient Quadtree Coding of Images and Video
* Error-diffused image compression using a binary-to-gray-scale decoder and predictive pruned tree-structured vector quantization
* Estimation of Linear Parametric Models of Non-Gaussian Discrete Random Fields with Application to Texture Synthesis
* Fan Filters, the 3-D Radon Transform, and Image Sequence Analysis
* Fast Thresholded Linear Convolution Representation of Morphological Operations, A
* Filter Considerations in Color Correction
* Generalized symmetric extension for size-limited multirate filter banks
* Hidden Markov Models Applied to On-Line Handwritten Isolated Character Recognition
* Hierarchical morphological segmentation for image sequence coding
* Image compression via improved quadtree decomposition algorithms
* Image identification and restoration in the subband domain
* Image sequence coding at very low bit rates: a review
* Improved interpolation, motion estimation, and compensation for interlaced pictures
* improvement to MBASIC algorithm for 3-D motion and depth estimation, An
* Index assignment for progressive transmission of full-search vector quantization
* Inverse and Approximation Problem for Two-Dimensional Fractal Sets
* Joint estimation of forward and backward motion vectors for interpolative prediction of video
* Khoros Software Development Environment for Image and Signal Processing, The
* Low bit rate video coding using robust motion vector regeneration in the decoder
* Maximum-Likelihood Parameter Estimation for Unsupervised Stochastic Model-Based Image Segmentation
* Multichannel restoration of single channel images using a wavelet-based subband decomposition
* Multiconstraint Wiener-based motion compensation using wavelet pyramids
* Multirate 3-D subband coding of video
* Multiscale Random Field Model for Bayesian Image Segmentation, A
* Near-Sensor Image Processing: A New Paradigm
* New Algorithms for Fixed and Elastic Geometric Transformation Models
* Nonlinear ultrasonic image processing based on signal-adaptive filters and self-organizing neural networks
* Nonuniform Image Motion Estimation Using Kalman Filtering
* Object-Based Analysis-Synthesis Coding (OBASC) Based on the Source Model of Moving Flexible 3-D Objects
* On the Invertibility of the Morphological Representation of Binary Images
* Optimal Brightness Functions for Optical Flow Estimation of Deformable Motion
* Optimal Edge-Preserving Hybrid Filters
* Optimal Filtering of Digital Binary Images Corrupted by Union/Intersection Noise
* Optimal Parallel Stack Filtering under the Mean Absolute Error Criterion
* Optimal space-varying regularization in iterative image restoration
* Optimal trellis-based buffered compression and fast approximations
* Orientation adaptive subband coding of images
* Overlapped block motion compensation: an estimation-theoretic approach
* Perceptual coding of images for halftone display
* Perceptual coding of images for halftone display
* perceptually efficient VBR rate control algorithm, A
* Phase and magnitude in normalized images
* POCS-based restoration of space-varying blurred images
* Probabilistic and Sequential Computation of Optical Flow Using Temporal Coherence
* Pyramidal lattice vector quantization for multiscale image coding
* Rank Conditioned Rank Selection Filters for Signal Restoration
* Rate-distortion optimal fast thresholding with complete JPEG/MPEG decoder compatibility
* Representing Moving Images with Layers
* Sequential and Parallel Image Restoration: Neural Network Implementations
* Sidelobe reduction via adaptive FIR filtering in SAR imagery
* Simple Information Theoretic Proof of the Maximum Entropy Property of Some Gaussian Random Fields, A
* Space-frequency localized image compression
* Spatially adaptive subsampling of image sequences
* Special Issue on Image Sequence Compression
* stable feedback control of the buffer state using the controlled Lagrange multiplier method, A
* Structure for Adaptive Order Statistics Filtering, A
* Subband image coding using watershed and watercourse lines of the wavelet transform
* Temporally adaptive motion interpolation exploiting temporal masking in visual perception
* Three-Dimensional Elastic Matching of Volumes
* Three-dimensional subband coding with motion compensation
* Tomographic reconstruction of 3-D vector fields using inner product probes
* Wavelet transform domain filters: a spatially selective noise filtration technique
79 for IP(3)

IP(30) * 2D-LCoLBP: A Learning Two-Dimensional Co-Occurrence Local Binary Pattern for Image Recognition
* 3D Face From X: Learning Face Shape From Diverse Sources
* 3D Object Representation Learning: A Set-to-Set Matching Perspective
* 3D-Guided Face Manipulation of 2D Images for the Prediction of Post-Operative Outcome After Cranio-Maxillofacial Surgery
* 3DCD: Scene Independent End-to-End Spatiotemporal Feature Learning Framework for Change Detection in Unseen Videos
* AAN-Face: Attention Augmented Networks for Face Recognition
* Accurate and Fast Image Denoising via Attention Guided Scaling
* Accurate and Lightweight Method for Human Body Image Super-Resolution, An
* Action Anticipation Using Pairwise Human-Object Interactions and Transformers
* Active Subdivision Surfaces for the Semiautomatic Segmentation of Biomedical Volumes
* Adaptive Context-Aware Multi-Modal Network for Depth Completion
* Adaptive Deep Reinforcement Learning-Based In-Loop Filter for VVC
* Adaptive LiDAR Sampling and Depth Completion Using Ensemble Variance
* Adaptive Linear Span Network for Object Skeleton Detection
* Adaptive Multiple Subtraction Based on an Accelerating Iterative Curvelet Thresholding Method
* Adaptive Spatio-Temporal Graph Enhanced Vision-Language Representation for Video QA
* Adaptive Streaming of 360 Videos With Perfect, Imperfect, and Unknown FoV Viewing Probabilities in Wireless Networks
* Adaptively Learning Facial Expression Representation via C-F Labels and Distillation
* Adversarial Attack Against Deep Saliency Models Powered by Non-Redundant Priors
* Adversarial Multi-Label Variational Hashing
* Adversarial Multi-Path Residual Network for Image Super-Resolution
* Adversarial Training for Solving Inverse Problems in Image Processing
* AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection
* Affine Transformation-Based Deep Frame Prediction
* Affinity Space Adaptation for Semantic Segmentation Across Domains
* Age-Oriented Face Synthesis With Conditional Discriminator Pool and Adversarial Triplet Loss
* AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing
* AMP-Net: Denoising-Based Deep Unfolding for Compressive Image Sensing
* Angular-Driven Feedback Restoration Networks for Imperfect Sketch Recognition
* AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification
* Approximate Intrinsic Voxel Structure for Point Cloud Simplification
* ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition
* Asymmetric Supervised Consistent and Specific Hashing for Cross-Modal Retrieval
* Attend and Guide (AG-Net): A Keypoints-Driven Attention-Based Deep Network for Image Recognition
* Attend to the Difference: Cross-Modality Person Re-Identification via Contrastive Correlation
* Attention Guided Multiple Source and Target Domain Adaptation
* Attention-Based Multi-Source Domain Adaptation
* Attentive Feature Refinement Network for Single Rainy Image Restoration
* Automatic and Optimal MPA Design Method, An
* AutoPedestrian: An Automatic Data Augmentation and Loss Function Search Scheme for Pedestrian Detection
* Backward Attentive Fusing Network With Local Aggregation Classifier for 3D Point Cloud Semantic Segmentation
* Band Representation-Based Semi-Supervised Low-Light Image Enhancement: Bridging the Gap Between Signal Fidelity and Perceptual Quality
* Batch Coherence-Driven Network for Part-Aware Person Re-Identification
* Bayesian Low Rank Tensor Ring for Image Recovery
* Better Compression With Deep Pre-Editing
* Bi-Directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification
* Bidirectional Interaction Network for Person Re-Identification
* Bifurcated Backbone Strategy for RGB-D Salient Object Detection
* Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
* Bilateral Attention Network for RGB-D Salient Object Detection
* Bilateral Upsampling Network for Single Image Super-Resolution With Arbitrary Scaling Factors
* Bilevel Integrated Model With Data-Driven Layer Ensemble for Multi-Modality Image Fusion, A
* Bio-Inspired Video Enhancement for Small Moving Target Detection
* BiSPL: Bidirectional Self-Paced Learning for Recognition From Web Data
* Blind Decomposition of Multispectral Document Images Using Orthogonal Nonnegative Matrix Factorization
* Blind Deconvolution for Poissonian Blurred Image With Total Variation and L0-Norm Gradient Regularizations
* Blind Image Deblurring Using a Non-Linear Channel Prior Based on Dark and Bright Channels
* Blind Image Quality Assessment With Active Inference
* Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding
* Block Proposal Neural Architecture Search
* Blur Removal Via Blurred-Noisy Image Pair
* Boosting Single Image Super-Resolution Learnt From Implicit Multi-Image Prior
* BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
* Calibration for Camera-Projector Pairs Using Spheres
* CameraNet: A Two-Stage Framework for Effective Camera ISP Learning
* CapsField: Light Field-Based Face and Expression Recognition in the Wild Using Capsule Routing
* Cascaded Convolutional Neural Network-Based Hyperspectral Image Resolution Enhancement via an Auxiliary Panchromatic Image
* CDNet: Complementary Depth Network for RGB-D Salient Object Detection
* CGNet: A Light-Weight Context Guided Network for Semantic Segmentation
* ChipQA: No-Reference Video Quality Prediction via Space-Time Chips
* CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery
* Coarse-to-Fine Semantic Alignment for Cross-Modal Moment Localization
* COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing
* Combining Appearance and Gradient Information for Image Symmetry Detection
* Combining Progressive Rethinking and Collaborative Learning: A Deep Framework for In-Loop Filtering
* Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification
* Complementary, Heterogeneous and Adversarial Networks for Image-to-Image Translation
* Composited FishNet: Fish Detection and Species Recognition From Low-Quality Underwater Videos
* Comprehensive Bi-Static Amplitude Compensated Range Migration Algorithm (AC-RMA), A
* Compressed Domain Deep Video Super-Resolution
* Condition-Aware Comparison Scheme for Gait Recognition
* Conditional Generative ConvNets for Exemplar-Based Texture Synthesis
* Consistency Graph Modeling for Semantic Correspondence
* Context-Based Image Contrast Enhancement Using Energy Equalization With Clipping Limit, A
* Contour Co-Tracking Method for Image Pairs, A
* Contour-Aware Loss: Boundary-Aware Learning for Salient Object Segmentation
* Controllable Sketch-to-Image Translation for Robust Face Synthesis
* Conversational Image Search
* Convex and Compact Superpixels by Edge- Constrained Centroidal Power Diagram
* Correcting Higher Order Aberrations Using Image Processing
* Coupled Network for Robust Pedestrian Detection With Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling
* Cross-Dataset Point Cloud Recognition Using Deep-Shallow Domain Adaptation Network
* Cross-Domain Image Captioning via Cross-Modal Retrieval and Model Adaptation
* Cross-Layer Feature Pyramid Network for Salient Object Detection
* Cross-Modal Knowledge Adaptation for Language-Based Person Search
* Crowd Scene Analysis Encounters High Density and Scale Variation
* Cubemap-Based Perception-Driven Blind Quality Assessment for 360-degree Images
* CycleSegNet: Object Co-Segmentation With Cycle Refinement and Region Correspondence
* DAN: Deep-Attention Network for 3D Shape Recognition
* DanceIt: Music-Inspired Dancing Video Synthesis
* DASGIL: Domain Adaptation for Semantic and Geometric-Aware Image-Based Localization
* Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection
* Decomposition and Completion Network for Salient Object Detection
* Deconvolved Image Restoration From Auto-Correlations
* Decoupled Two-Stage Crowd Counting and Beyond
* Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution
* Deep Dehazing Network With Latent Ensembling Architecture and Adversarial Learning
* Deep Dense Multi-Scale Network for Snow Removal Using Semantic and Depth Priors
* Deep Dichromatic Guided Learning for Illuminant Estimation
* Deep Dichromatic Model Estimation Under AC Light Sources
* Deep Dynamic Scene Deblurring for Unconstrained Dual-Lens Cameras
* Deep High-Resolution Representation Learning for Cross-Resolution Person Re-Identification
* Deep Inference Networks for Reliable Vehicle Lateral Position Estimation in Congested Urban Environments
* Deep K-SVD Denoising
* Deep Learning-Based Forgery Attack on Document Images
* Deep Learning-Based Model That Reduces Speed of Sound Aberrations for Improved In Vivo Photoacoustic Imaging, A
* Deep Likelihood Network for Image Restoration With Multiple Degradation Levels
* Deep Magnification-Flexible Upsampling Over 3D Point Clouds
* Deep Multiple Instance Hashing for Fast Multi-Object Image Search
* Deep Ordinal Distortion Estimation Approach for Distortion Rectification, A
* Deep Outlier Handling for Image Deblurring
* Deep Relation Embedding for Cross-Modal Retrieval
* Deep Retinex Network for Single Image Dehazing
* Deep SAR Imaging and Motion Compensation
* Deep Shearlet Residual Learning Network for Single Image Super-Resolution
* Deep Spectral Representation Learning From Multi-View Data
* Deep-Learned Regularization and Proximal Operator for Image Compressive Sensing
* Deep-Masking Generative Network: A Unified Framework for Background Restoration From Superimposed Images
* DeepFoveaNet: Deep Fovea Eagle-Eye Bioinspired Model to Detect Moving Objects
* DeepQTMT: A Deep Learning Approach for Fast QTMT-Based CU Partition of Intra-Mode VVC
* Defense Against Adversarial Attacks by Reconstructing Images
* Defocus Blur Detection via Boosting Diversity of Deep Ensemble Networks
* Delving Deep Into Label Smoothing
* Denoising-Based Turbo Message Passing for Compressed Video Background Subtraction
* Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
* Depth-Quality-Aware Salient Object Detection
* DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking
* Designing Color Filters That Make Cameras More Colorimetric
* Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding
* Detail Preserving Coarse-to-Fine Matching for Stereo Matching and Optical Flow
* Different Input Resolutions and Arbitrary Output Resolution: A Meta Learning-Based Deep Framework for Infrared and Visible Image Fusion
* Digital Image Noise Estimation Using DWT Coefficients
* Dimensionality Reduction for Tensor Data Based on Local Decision Margin Maximization
* Direct Unsupervised Super-Resolution Using Generative Adversarial Network (DUS-GAN) for Real-World Data
* Discriminative Cross-Modality Attention Network for Temporal Inconsistent Audio-Visual Event Localization
* Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images
* Distributed Connected Component Filtering and Analysis in 2D and 3D Tera-Scale Data Sets
* Distributed Learning and Inference With Compressed Images
* Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition
* Diversity Image Coding Using Irregular Interpolation
* Domain Adaptive Ensemble Learning
* Domain Shift Preservation for Zero-Shot Domain Adaptation
* Domain-Guided Noise-Optimization-Based Inversion Method for Facial Image Manipulation, A
* DotFAN: A Domain-Transferred Face Augmentation Net
* Double Similarity Distillation for Semantic Image Segmentation
* DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection
* DRCNN: Dynamic Routing Convolutional Neural Network for Multi-View 3D Object Recognition
* DSNet: A Flexible Detect-to-Summarize Network for Video Summarization
* Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removal
* Dual Color Space Guided Sketch Colorization
* Dual Modulated QR Codes for Proximal Privacy and Security
* Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
* Dynamic Image Quantization Using Leaky Integrate-and-Fire Neurons
* Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance
* Dynamic Selection Network for Image Inpainting
* Effective Blind Image Deblurring Using Matrix-Variable Optimization
* Efficient Center Voting for Object Detection and 6D Pose Estimation in 3D Point Cloud
* Efficient Depth Intra Frame Coding in 3D-HEVC by Corner Points
* Efficient Face Detection in the Fisheye Image Domain
* Efficient Style-Corpus Constrained Learning for Photorealistic Style Transfer
* Ellipse R-CNN: Learning to Infer Elliptical Object From Clustering and Occlusion
* Ellipse Recovery From Blurred Binary Images
* Embarrassingly Simple Binarization for Deep Single Imagery Super-Resolution Networks
* Embedding Perspective Analysis Into Multi-Column Convolutional Neural Network for Crowd Counting
* Embedding Regularizer Learning for Multi-View Semi-Supervised Classification
* EnAET: A Self-Trained Framework for Semi-Supervised and Supervised Learning With Ensemble Transformations
* End-to-End Foreground-Aware Network for Person Re-Identification, An
* End-to-End Learnt Image Compression via Non-Local Attention Optimization and Improved Context Modeling
* End-to-End Light Field Spatial Super-Resolution Network Using Multiple Epipolar Geometry
* Enhancement and Speedup of Photometric Compensation for Projectors by Reducing Inter-Pixel Coupling and Calibration Patterns
* Enhancing ISAR Image Efficiently via Convolutional Reweighted L1 Minimization
* EnlightenGAN: Deep Light Enhancement Without Paired Supervision
* ES-Net: Erasing Salient Parts to Learn More in Re-Identification
* Estimating Human Pose Efficiently by Parallel Pyramid Networks
* Evaluating the Stability of Spatial Keypoints via Cluster Core Correspondence Index
* Explicit Facial Expression Transfer via Fine-Grained Representations
* Exploit Camera Raw Data for Video Super- Resolution via Hidden Markov Model Inference
* Exploring Chromatic Aberration and Defocus Blur for Relative Depth Estimation From Monocular Hyperspectral Image
* Exploring Rich and Efficient Spatial Temporal Interactions for Real-Time Video Salient Object Detection
* Exploring Spatial Diversity for Region-Based Active Learning
* Exploring the Effects of Blur and Deblurring to Visual Object Tracking
* Extremely Lightweight Skeleton-Based Action Recognition with ShiftGCN++
* Fabric Retrieval Based on Multi-Task Learning
* Face Hallucination With Finishing Touches
* Face Video Retrieval Based on the Deep CNN With RBF Loss
* Facial Expression Recognition Using Frequency Neural Network
* FASHE: A FrActal Based Strategy for Head Pose Estimation
* Fast and Robust Cascade Model for Multiple Degradation Single Image Super-Resolution
* Fast Hyperspectral Image Recovery of Dual-Camera Compressive Hyperspectral Imaging via Non-Iterative Subspace-Based Fusion
* Fast kNN Search in Weighted Hamming Space With Multiple Tables
* Fast Local Spatial Verification for Feature-Agnostic Large-Scale Image Retrieval
* Fast Manifold Ranking With Local Bipartite Graph
* Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization
* Fast Roughness Minimizing Image Restoration Under Mixed Poisson-Gaussian Noise
* Features Guided Face Super-Resolution via Hybrid Model of Deep Learning and Random Forests
* Few-Shot Common-Object Reasoning Using Common-Centric Localization Network
* Few-Shot Human-Object Interaction Recognition With Semantic-Guided Attentive Prototypes Network
* FFD: Fast Feature Detector
* Fine-Grained 3D Shape Classification With Hierarchical Part-View Attention
* Fine-Grained Crowd Counting
* Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning
* Fixed Viewpoint Mirror Surface Reconstruction Under an Uncalibrated Camera
* Flexible Multi-View Unsupervised Graph Embedding
* FloorLevel-Net: Recognizing Floor-Level Lines With Height-Attention-Guided Multi-Task Learning
* Framework for Hexagonal Image Processing Using Hexagonal Pixel-Perfect Approximations in Subpixel Resolution, A
* FREE: A Fast and Robust End-to-End Video Text Spotter
* Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model
* FA-GAN: Facial Flow for Face Animation With Generative Adversarial Networks
* Game Theory Based CTU-Level Bit Allocation Scheme for HEVC Region of Interest Coding, A
* Gated Path Selection Network for Semantic Segmentation
* Gated Recurrent Network With Dual Classification Assistance for Smoke Semantic Segmentation, A
* Generalized Asymmetric Dual-Front Model for Active Contours and Image Segmentation, A
* Generalized MSFA Engineering With Structural and Adaptive Nonlocal Demosaicing
* Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace Clustering
* Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency
* Geodesic Paths for Image Segmentation With Implicit Region-Based Homogeneity Enhancement
* Geometrically Editable Face Image Translation With Adversarial Networks
* Geometry Auxiliary Salient Object Detection for Light Fields via Graph Neural Networks
* Geometry-Based Camera Calibration Using Closed-Form Solution of Principal Line
* Ghost-Free Deep High-Dynamic-Range Imaging Using Focus Pixels for Complex Motion Scenes
* Giant Panda Identification
* Global Aggregation Then Local Distribution for Scene Parsing
* Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation
* Global-Feature Encoding U-Net (GEU-Net) for Multi-Focus Image Fusion
* Global-Local Self-Adaptive Network for Drone-View Object Detection, A
* Globally and Locally Semantic Colorization via Exemplar-Based Broad-GAN
* GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation
* GPU-Based Supervoxel Generation With a Novel Anisotropic Metric
* Gradient-Based Feature Extraction From Raw Bayer Pattern Images
* Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms
* Graph Learning Based Head Movement Prediction for Interactive 360 Video Streaming
* Graph Regularized Flow Attention Network for Video Animal Counting From Drones
* Graph-Based Multi-Interaction Network for Video Question Answering
* Graph-Embedded Lane Detection
* Graph-Theoretic Post-Processing of Segmentation With Application to Dense Biofilms
* GSDet: Object Detection in Aerial Images Based on Scale Reasoning
* Hand Pose Understanding With Large-Scale Photo-Realistic Rendering Dataset
* Harmonic Feature Activation for Few-Shot Semantic Segmentation
* Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging
* HCE: Hierarchical Context Embedding for Region-Based Object Detection
* HDR-GAN: HDR Image Reconstruction From Multi-Exposed LDR Images With Large Motions
* Heavy-Tailed Self-Similarity Modeling for Single Image Super Resolution
* Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching
* Hier R-CNN: Instance-Level Human Parts Detection and A New Benchmark
* Hierarchical Alternate Interaction Network for RGB-D Salient Object Detection
* Hierarchical and Interactive Refinement Network for Edge-Preserving Salient Object Detection
* Hierarchical Attention Learning of Scene Flow in 3D Point Clouds
* Hierarchical Connectivity-Centered Clustering for Unsupervised Domain Adaptation on Person Re-Identification
* Hierarchical Edge Refinement Network for Saliency Detection
* Hierarchical Generation of Human Pose With Part-Based Layer Representation
* Hierarchical Image Segmentation Based on Nonsymmetry and Anti-Packing Pattern Representation Model
* Hierarchical Lossy Bilevel Image Compression Based on Cutset Sampling
* Hierarchical Paired Channel Fusion Network for Street Scene Change Detection
* Hierarchical Predictive Coding-Based JND Estimation for Image Compression
* Hierarchical Reasoning Network for Human-Object Interaction Detection
* Hierarchical Superpixel-Based Approach for DIBR View Synthesis, A
* High Frequency Detail Accentuation in CNN Image Restoration
* Highly Efficient Multiview Depth Coding Based on Histogram Projection and Allowable Depth Distortion
* Holistic LSTM for Pedestrian Trajectory Prediction
* Homogeneous-to-Heterogeneous: Unsupervised Learning for RGB-Infrared Person Re-Identification
* HOReID: Deep High-Order Mapping Enhances Pose Alignment for Person Re-Identification
* HRSiam: High-Resolution Siamese Network, Towards Space-Borne Satellite Video Tracking
* HSGAN: Hierarchical Graph Learning for Point Cloud Generation
* Human Interaction Understanding With Joint Graph Decomposition and Node Labeling
* Human Skin Gloss Perception Based on Texture Statistics
* Hybrid Regularization of Diffusion Process for Visual Re-Ranking
* Hypergraph Neural Network for Skeleton-Based Action Recognition
* Hypergraph Spectral Analysis and Processing in 3D Point Cloud
* Hyperspectral Image Super-Resolution via Deep Progressive Zero-Centric Residual Learning
* Hyperspectral Texture Metrology Based on Joint Probability of Spectral and Spatial Distribution
* I Understand You: Blind 3D Human Attention Inference from the Perspective of Third-Person
* iCmSC: Incomplete Cross-Modal Subspace Clustering
* IDE: Image Dehazing and Exposure Using an Enhanced Atmospheric Scattering Model
* Image Co-Skeletonization via Co-Segmentation
* Image Contrast Measure Based on Retinex Principles, An
* Image Defogging Quality Assessment: Real-World Database and Method
* Image Denoising Based on Fractional Gradient Vector Flow and Overlapping Group Sparsity as Priors
* Image Inpainting by End-to-End Cascaded Refinement With Mask Awareness
* Image Restoration via Reconciliation of Group Sparsity and Low-Rank Models
* Image Stitching Based on Semantic Planar Region Consensus
* Image-Guided Human Reconstruction via Multi-Scale Graph Transformation Networks
* Improved Multiple-Image-Based Reflection Removal Algorithm Using Deep Neural Networks
* Improving Performance and Adaptivity of Anchor-Based Detector Using Differentiable Anchoring With Efficient Target Generation
* Improving Single Shot Object Detection With Feature Scale Unmixing
* Improving Weakly Supervised Temporal Action Localization by Exploiting Multi-Resolution Information in Temporal Domain
* Incremental Generative Occlusion Adversarial Suppression Network for Person ReID
* Insights Into Algorithms for Separable Nonlinear Least Squares Problems
* Inspirational Adversarial Image Generation
* Intensity-Aware Single-Image Deraining With Semantic and Color Regularization
* Interaction-Integrated Network for Natural Language Moment Localization
* Interleaved Deep Artifacts-Aware Attention Mechanism for Concrete Structural Defect Classification
* Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution
* Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity
* Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical Inference
* Invertible Image Decolorization
* Investigating Customization Strategies and Convergence Behaviors of Task-Specific ADMM
* IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection
* Is Context-Aware CNN Ready for the Surroundings? Panoramic Semantic Segmentation in the Wild
* Is Heuristic Sampling Necessary in Training Deep Object Detectors?
* Iterative Co-Training Transductive Framework for Zero Shot Learning, An
* Iterative Robust Graph for Unsupervised Change Detection of Heterogeneous Remote Sensing Images
* Iterative Training of Neural Networks for Intra Prediction
* JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
* Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation
* Joint Denoising and Demosaicking With Green Channel Prior for Real-World Burst Images
* Joint Depth and Defocus Estimation From a Single Image Using Physical Consistency
* Joint Feature Optimization and Fusion for Compressed Action Recognition
* Joint Hand-Object 3D Reconstruction From a Single Image With Cross-Branch Feature Fusion
* Joint Learning of Latent Similarity and Local Embedding for Multi-View Clustering
* Joint Local and Global Information Learning With Single Apex Frame Detection for Micro-Expression Recognition
* Joint Multi-Dimension Pruning via Numerical Gradient Update
* Joint Multisource Saliency and Exemplar Mechanism for Weakly Supervised Video Object Segmentation
* Joint Person Objectness and Repulsion for Person Search
* Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking
* Just Noticeable Distortion Profile Inference: A Patch-Level Structural Visibility Learning Approach
* Kalman Filter for Spatial-Temporal Regularized Correlation Filters
* KFC: An Efficient Framework for Semi-Supervised Temporal Action Localization
* Kinship Verification Based on Cross-Generation Feature Interaction Learning
* Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification
* KT-GAN: Knowledge-Transfer Generative Adversarial Network for Text-to-Image Synthesis
* L3DOC: Lifelong 3D Object Classification
* Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities
* Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection
* LayerCAM: Exploring Hierarchical Class Activation Maps for Localization
* Layout-to-Image Translation With Double Pooling Generative Adversarial Networks
* Learnable Descriptors for Visual Search
* Learning Aligned Image-Text Representations Using Graph Attentive Relational Network
* Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation
* Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection
* Learning Complete and Discriminative Direction Pattern for Robust Palmprint Recognition
* Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild
* Learning Deep Lucas-Kanade Siamese Network for Visual Tracking
* Learning Dense Correspondences for Non-Rigid Point Clouds With Two-Stage Regression
* Learning Diverse Models for End-to-End Ensemble Tracking
* Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue
* Learning Dynamic Relationships for Facial Expression Recognition Based on Graph Convolutional Network
* Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos
* Learning Efficient Hash Codes for Fast Graph-Based Data Similarity Retrieval
* Learning Event Representations for Temporal Segmentation of Image Sequences by Dynamic Graph Embedding
* Learning From Images: A Distillation Learning Framework for Event Cameras
* Learning Guided Convolutional Network for Depth Completion
* Learning Methodologies to Generate Kernel-Learning-Based Image Downscaler for Arbitrary Scaling Factors
* Learning Modal-Invariant Angular Metric by Cyclic Projection Network for VIS-NIR Person Re-Identification
* Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm
* Learning Person Re-Identification Models From Videos With Weak Supervision
* Learning Recurrent Memory Activation Networks for Visual Tracking
* Learning Self-Supervised Space-Time CNN for Fast Video Style Transfer
* Learning Spatial Attention for Face Super-Resolution
* Learning Steering Kernels for Guided Depth Completion
* Learning to Anticipate Egocentric Actions by Imagination
* Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition
* Learning to Match Anchor-Target Video Pairs With Dual Attentional Holographic Networks
* Learning to Rank Proposals for Siamese Visual Tracking
* Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation
* Learning Transformation-Invariant Local Descriptors With Low-Coupling Binary Codes
* Learning Wavefront Coding for Extended Depth of Field Imaging
* Light Field Image Super-Resolution Using Deformable Convolution
* Light Field Super-Resolution via Adaptive Feature Remixing
* Light Field View Synthesis via Aperture Disparity and Warping Confidence Map
* Lightweight Depth Estimation Network for Wide-Baseline Light Fields, A
* Lightweight Spatial and Temporal Multi-Feature Fusion Network for Defect Detection, A
* Local Correspondence Network for Weakly Supervised Temporal Sentence Grounding
* Local Semantic Enhanced ConvNet for Aerial Scene Recognition
* Localizing Anomalies From Weakly-Labeled Videos
* Location Sensitive Network for Human Instance Segmentation
* Logarithmic Norm Regularized Low-Rank Factorization for Matrix and Tensor Completion
* Looking for the Detail and Context Devils: High-Resolution Salient Object Detection
* Loop Closure Detection by Using Global and Local Features With Photometric and Viewpoint Invariance
* Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks
* Low Complexity Trellis-Coded Quantization in Versatile Video Coding
* Low-Complexity Error Resilient HEVC Video Coding: A Deep Learning Approach
* Low-Rank Constrained Super-Resolution for Mixed-Resolution Multiview Video
* Low-Rank Preserving t-Linear Projection for Robust Image Feature Extraction
* LR-Net: Low-Rank Spatial-Spectral Network for Hyperspectral Image Denoising
* MABAN: Multi-Agent Boundary-Aware Network for Natural Language Moment Retrieval
* Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection
* MESNet: A Convolutional Neural Network for Spotting Multi-Scale Micro-Expression Intervals in Long Videos
* Meta-VOS: Learning to Adapt Online Target-Specific Segmentation
* MGG: Monocular Global Geolocation for Outdoor Long-Range Targets
* MGSeg: Multiple Granularity-Based Real-Time Semantic Segmentation Network
* Micro-Doppler Effects Removed Sparse Aperture ISAR Imaging via Low-Rank and Double Sparsity Constrained ADMM and Linearized ADMM
* MINet: Meta-Learning Instance Identifiers for Video Object Detection
* MLDA-Net: Multi-Level Dual Attention-Based Network for Self-Supervised Monocular Depth Estimation
* Model-Guided Deep Hyperspectral Image Super-Resolution
* Modeling Sub-Actions for Weakly Supervised Temporal Action Localization
* MSB-FCN: Multi-Scale Bidirectional FCN for Object Skeleton Extraction
* Multi-Branch Tensor Network Structure for Tensor-Train Discriminant Analysis
* Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform
* Multi-Domain Adversarial Feature Generalization for Person Re-Identification
* Multi-Domain Image-to-Image Translation via a Unified Circular Framework
* Multi-Interactive Dual-Decoder for RGB-Thermal Salient Object Detection
* Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos
* Multi-Objective Optimization of Quality in VVC Rate Control for Low-Delay Video Coding
* Multi-Relation Attention Network for Image Patch Matching
* Multi-Resolution Aitchison Geometry Image Denoising for Low-Light Photography
* Multi-Scale Low-Discriminative Feature Reactivation for Weakly Supervised Object Localization
* Multi-Scale Representation Learning on Hypergraph for 3D Shape Retrieval and Recognition
* Multi-Scale Spatial Attention-Guided Monocular Depth Estimation With Semantic Enhancement
* Multi-Scale Structure-Aware Network for Weakly Supervised Temporal Action Detection
* Multi-Sentence Auxiliary Adversarial Networks for Fine-Grained Text-to-Image Synthesis
* Multi-Stage Degradation Homogenization for Super-Resolution of Face Images With Extreme Degradations
* Multi-Stage Feature Fusion Network for Video Super-Resolution
* Multi-Stream Attention-Aware Graph Convolution Network for Video Salient Object Detection
* Multi-Stream Fusion Network With Generalized Smooth L1 Loss for Single Image Dehazing
* Multi-Target Multi-Camera Tracking of Vehicles Using Metadata-Aided Re-ID and Trajectory-Based Camera Link Model
* Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks
* Multi-Task Learning Framework for Motion Estimation and Dynamic Scene Deblurring
* Multi-Temporal Scene Classification and Scene Change Detection With Correlation Based Fusion
* Multi-View 3D Shape Recognition via Correspondence-Aware Deep Learning
* Multi-View Face Synthesis via Progressive Face Flow
* Multi-View Face Synthesis via Progressive Face Flow
* Multi-View Feature Selection for PolSAR Image Classification via L_2,1 Sparsity Regularization and Manifold Regularization
* Multi-View Gait Image Generation for Cross-View Gait Recognition
* Multi-View Learning a Decomposable Affinity Matrix via Tensor Self-Representation on Grassmann Manifold
* Multi-View Mouse Social Behaviour Recognition With Deep Graphic Model
* Multidataset Independent Subspace Analysis With Application to Multimodal Fusion
* Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction
* Multitask Identity-Aware Image Steganography via Minimax Optimization
* Multitask Non-Autoregressive Model for Human Motion Prediction
* MW-GAN: Multi-Warping GAN for Caricature Generation With Multi-Style Geometric Exaggeration
* Neutral Cross-Entropy Loss Based Unsupervised Domain Adaptation for Semantic Segmentation
* New Approaches for Monitoring Image Data
* No-Reference Quality Assessment for Screen Content Images Using Visual Edge Model and AdaBoosting Neural Network
* No-Reference Screen Content Image Quality Assessment With Unsupervised Domain Adaptation
* Nocal-Siam: Refining Visual Features and Response With Advanced Non-Local Blocks for Real-Time Siamese Tracking
* Non-Contact Heart Rate Estimation via Adaptive RGB/NIR Signal Fusion
* Non-Greedy L21-Norm Maximization for Principal Component Analysis
* Non-Local Superpatch-Based Algorithm Exploiting Low Rank Prior for Restoration of Hyperspectral Images, A
* Novel Convergence Results of Adaptive Stochastic Gradient Descents
* Novel Eye Center Localization Method for Head Poses With Large Rotations, A
* Novel Visual Representation on Text Using Diverse Conditional GAN for Visual Recognition, A
* OIFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised Learning
* On Data Augmentation for GAN Training
* On Plug-and-Play Regularization Using Linear Denoisers
* One-Class Fingerprint Presentation Attack Detection Using Auto-Encoder Network
* Online Learning-Based Multi-Stage Complexity Control for Live Video Coding
* Online Rain/Snow Removal From Surveillance Videos
* Open-Set Hypothesis Transfer With Semantic Consistency
* Optimal Pre-Filtering for Improving Facebook Shared Images
* Pairwise Attentive Adversarial Spatiotemporal Network for Cross-Domain Few-Shot Action Recognition-R2, A
* Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images
* Pareto-Optimal Bit Allocation for Collaborative Intelligence
* Patch-Based Dual-Tree Complex Wavelet Transform for Kinship Recognition
* Patch-Wise Spatial-Temporal Quality Enhancement for HEVC Compressed Video
* PCG-TAL: Progressive Cross-Granularity Cooperation for Temporal Action Localization
* Perceptual Video Quality Prediction Emphasizing Chroma Distortions
* Person Re-Identification via Attention Pyramid
* Person Re-Identification With Reinforced Attribute Attention Selection
* Personal Fixations-Based Object Segmentation With Object Localization and Boundary Preservation
* Petersen Graph Multi-Orientation Based Multi-Scale Ternary Pattern (PGMO-MSTP): An Efficient Descriptor for Texture and Material Recognition
* Pixel-Wise Wasserstein Autoencoder for Highly Generative Dehazing
* Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach
* PlenoptiCam v1.0: A Light-Field Imaging Framework
* Polarization Guided Specular Reflection Separation
* Pose Flow Learning From Person Images for Pose Guided Synthesis
* PoT-GAN: Pose Transform GAN for Person Image Synthesis
* PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis
* Predicting Task-Driven Attention via Integrating Bottom-Up Stimulus and Top-Down Guidance
* Predicting the Quality of Compressed Videos With Pre-Existing Distortions
* Principled Design and Implementation of Steerable Detectors
* Progressive Diversified Augmentation for General Robustness of DNNs: A Unified Approach
* Progressive Feature Enhancement for Person Re-Identification
* Progressive Modality Cooperation for Multi-Modality Domain Adaptation
* Progressive Self-Guided Loss for Salient Object Detection
* Progressive Transfer Learning for Face Anti-Spoofing
* ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression
* PSAT-GAN: Efficient Adversarial Attacks Against Holistic Scene Understanding
* Pseudo-Supervised Deep Subspace Clustering
* Push for Center Learning via Orthogonalization and Subspace Masking for Person Re-Identification
* PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction
* PWD-3DNet: A Deep Learning-Based Fully-Automated Segmentation of Multiple Structures on Temporal Bone CT Scans
* Pyramidal Multiple Instance Detection Network With Mask Guided Self-Correction for Weakly Supervised Object Detection
* Quality Assessment of Free-Viewpoint Videos by Quantifying the Elastic Changes of Multi-Scale Motion Trajectories
* Quantization Parameter Cascading for Surveillance Video Coding Considering All Inter Reference Frames
* Rain-Free and Residue Hand-in-Hand: A Progressive Coupled Network for Real-Time Image Deraining
* Rate-Distortion Optimized Graph Coarsening and Partitioning for Light Field Coding
* Ratio-and-Scale-Aware YOLO for Pedestrian Detection
* Re-Attention for Visual Question Answering
* Real-Time 3D Facial Tracking via Cascaded Compositional Learning
* Real-Time Deep Image Retouching Based on Learnt Semantics Dependent Global Transforms
* Reasoning Graph Networks for Kinship Verification: From Star-Shaped to Hierarchical
* Recovering Surface Normal and Arbitrary Images: A Dual Regression Network for Photometric Stereo
* Reduced Reference Perceptual Quality Model With Application to Rate Control for Video-Based Point Cloud Compression
* Reference-Based Defect Detection Network
* RefineDNet: A Weakly Supervised Refinement Framework for Single Image Dehazing
* Regularized Densely-Connected Pyramid Network for Salient Instance Segmentation
* Relation Graph Network for 3D Object Detection in Point Clouds
* Relational Reasoning for Group Activity Recognition via Self-Attention Augmented Conditional Random Field
* RelightGAN: Instance-level Generative Adversarial Network for Face Illumination Transfer
* Removal of Micro-Doppler Effect of ISAR Image Based on Laplacian Regularized Nonconvex Low-Rank Representation
* Removing Adversarial Noise via Low-Rank Completion of High-Sensitivity Points
* ResKD: Residual-Guided Knowledge Distillation
* Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory
* Resolution-Aware Knowledge Distillation for Efficient Inference
* Rethinking Image Salient Object Detection: Object-Level Semantic Saliency Reranking First, Pixelwise Saliency Refinement Later
* Rethinking Shape From Shading for Spoofing Detection
* Reversible Data Hiding Based on Dual Pairwise Prediction-Error Expansion
* Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
* RGB-D Salient Object Detection With Ubiquitous Target Awareness
* RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss
* Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences
* Robust and Efficient Graph Correspondence Transfer for Person Re-Identification
* Robust Content-Adaptive Global Registration for Multimodal Retinal Images Using Weakly Supervised Deep-Learning Framework
* Robust Ellipse Fitting Using Hierarchical Gaussian Mixture Models
* Robust Ellipse Fitting With Laplacian Kernel Based Maximum Correntropy Criterion
* Robust Face Alignment by Multi-Order High-Precision Hourglass Network
* Robust Focus Volume Regularization in Shape From Focus
* Robust Online Tracking via Contrastive Spatio-Temporal Aware Network
* Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging
* Robust Segmentation-Free Algorithm for Homogeneity Quantification in Images
* Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization
* Robust Sparse Representation in Quaternion Space
* Robust Subspace Detectors Based on a-Divergence With Application to Detection in Imaging
* Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy
* Robust Text Image Recognition via Adversarial Sequence-to-Sequence Domain Adaptation
* Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm
* Role of Redundant Bases and Shrinkage Functions in Image Denoising, The
* Rotation Awareness Based Self-Supervised Learning for SAR Target Recognition With Limited Training Samples
* RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling-Based Video Coding
* SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction
* Salience-Guided Iterative Asymmetric Mutual Hashing for Fast Person Re-Identification
* Saliency Prediction on Omnidirectional Image With Generative Adversarial Imitation Learning
* Salient Object Detection Based on Visual Perceptual Saturation and Two-Stream Hybrid Networks
* Salient Object Detection With Purificatory Mechanism and Structural Similarity Loss
* SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection
* SAN: Selective Alignment Network for Cross-Domain Pedestrian Detection
* SC-RPN: A Strong Correlation Learning Framework for Region Proposal
* Scalable Optimization Mechanism for Pairwise Based Discrete Hashing, A
* Scene Adaptive Online Surveillance Video Synopsis via Dynamic Tube Rearrangement Using Octree
* SCG: Saliency and Contour Guided Salient Instance Segmentation
* SDOF-GAN: Symmetric Dense Optical Flow Estimation With Generative Adversarial Networks
* SDP-GAN: Saliency Detail Preservation Generative Adversarial Networks for High Perceptual Quality Style Transfer
* Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition
* Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification
* Self-Supervised Colorization Towards Monochrome-Color Camera Systems Using Cycle CNN
* Self-Supervised Deep Correlation Tracking
* Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds, A
* Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification
* Semantic Perceptual Image Compression With a Laplacian Pyramid of Convolutional Networks
* Semantically Adversarial Learnable Filters
* Semantics-Aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
* Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval
* Semi-Supervised Image Deraining Using Gaussian Processes
* Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning
* Semi-Supervised Perception Augmentation for Aerial Photo Topologies Understanding
* Semi-Supervised Pixel-Level Scene Text Segmentation by Mutually Guided Network
* Semi-Supervised Scene Text Recognition
* Sequential Instance Refinement for Cross-Domain Object Detection in Images
* SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
* Shadow Removal by a Lightness-Guided Network With Training on Unpaired Data
* Shape-Preserving Stereo Object Remapping via Object-Consistent Grid Warping
* SiamCAN: Real-Time Visual Tracking Based on Siamese Center-Aware Network
* Siamese Regression Tracking With Reinforced Template Updating
* Simulation of Atmospheric Visibility Impairment
* Simultaneous Direct Depth Estimation and Synthesis Stereo for Single Image Plant Root Reconstruction
* Simultaneous Video Stabilization and Rolling Shutter Removal
* Single Image Dehazing via Dual-Path Recurrent Network
* Single-Image Real-Time Rain Removal Based on Depth-Guided Non-Local Features
* Singularity-Exponent-Domain Image Feature Transform
* Sketch-Guided Scenery Image Outpainting
* SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining
* SLOAN: Scale-Adaptive Orientation Attention Network for Scene Text Recognition
* SMSIR: Spherical Measure Based Spherical Image Representation
* SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network
* SPADE-E2VID: Spatially-Adaptive Denormalization for Event-Based Video Reconstruction
* Sparse Coding Driven Deep Decision Tree Ensembles for Nucleus Segmentation in Digital Pathology Images
* Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement
* Sparse Learning-Based Correlation Filter for Robust Tracking
* Sparse Representation Based Joint Demosaicing Method for Single-Chip Polarized Color Sensor, A
* Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
* Spatial-Aware Texture Transformer for High-Fidelity Garment Transfer
* Spatial-Spectral Structured Sparse Low-Rank Representation for Hyperspectral Image Super-Resolution
* Spatial-Temporal Recurrent Neural Network for Video Saliency Prediction, A
* Spatially Constrained Online Dictionary Learning for Source Separation
* Spatially-Aware Context Neural Networks
* Speckle-Free SAR Image Ship Detection
* Spectral Super-Resolution Network Guided by Intrinsic Properties of Hyperspectral Imagery
* SRGAT: Single Image Super-Resolution With Graph Attention Network
* SSIM Compliant Modeling Framework With Denoising and Deblurring Applications
* SSSIC: Semantics-to-Signal Scalable Image Coding With Learned Structural Representations
* ST-GREED: Space-Time Generalized Entropic Differences for Frame Rate Dependent Video Quality Prediction
* Stimuli-Aware Visual Emotion Analysis
* Structural Knowledge Distillation for Efficient Skeleton-Based Action Recognition
* Structure-Aware Motion Deblurring Using Multi-Adversarial Optimized CycleGAN
* Structure-Coherent Deep Feature Learning for Robust Face Alignment
* Structure-Texture Image Decomposition Using Discriminative Patch Recurrence
* Study of Multi-Task and Region-Wise Deep Learning for Food Ingredient Recognition, A
* Sub-Sampled Cross-Component Prediction for Emerging Video Coding Standards
* Subjective and Objective Quality Assessment of 2D and 3D Foveated Video Compression in Virtual Reality
* Superpixel-Based Quality Assessment of Multi-Exposure Image Fusion for Both Static and Dynamic Scenes
* Superpixel-Guided Discriminative Low-Rank Representation of Hyperspectral Images for Classification
* Superpixels With Content-Adaptive Criteria
* Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol
* Supervised Segmentation Network for Hyperspectral Image Classification, A
* Surface Regularity via the Estimation of Fractional Brownian Motion Index
* Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization, A
* Task-Driven Semantic Coding via Reinforcement Learning
* TDIOT: Target-Driven Inference for Deep Video Object Tracking
* Temporal Reasoning Guided QoE Evaluation for Mobile Live Video Broadcasting
* TEST: Triplet Ensemble Student-Teacher Model for Unsupervised Person Re-Identification
* Text-Based Localization of Moments in a Video Corpus
* Thanka Mural Inpainting Based on Multi-Scale Adaptive Partial Convolution and Stroke-Like Mask
* TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
* TMMF: Temporal Multi-Modal Fusion for Single-Stage Continuous Gesture Recognition
* Together Recognizing, Localizing and Summarizing Actions in Egocentric Videos
* Toward Accurate Pixelwise Object Tracking via Attention Retrieval
* Toward Fine-Grained Sketch-Based 3D Shape Retrieval
* Toward Visual Distortion in Black-Box Attacks
* Towards Cross-Dataset Palmprint Recognition Via Joint Pixel and Feature Alignment
* Towards Efficient Scene Understanding via Squeeze Reasoning
* Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation
* Towards Fine-Grained Human Pose Transfer With Detail Replenishing Network
* Towards Perceptually Optimized Adaptive Video Streaming-A Realistic Quality of Experience Database
* TPSSI-Net: Fast and Enhanced Two-Path Iterative Network for 3D SAR Sparse Imaging
* Tracking Beyond Detection: Learning a Global Response Map for End-to-End Multi-Object Tracking
* Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets
* Training Robust Deep Neural Networks via Adversarial Noise Propagation
* Training Robust Object Detectors From Noisy Category Labels and Imprecise Bounding Boxes
* Triply Complementary Priors for Image Restoration
* Two-Stage Density-Aware Single Image Deraining Method, A
* Two-Stream Dynamic Pyramid Representation Model for Video-Based Person Re-Identification, A
* UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
* Ultra High Fidelity Deep Image Decompression with L-Infinity-Constrained Compression
* Uncertainty Class Activation Map (U-CAM) Using Gradient Certainty Method
* Uncertainty Guided Multi-Scale Attention Network for Raindrop Removal From a Single Image
* Uncertainty Learning for Noise Resistant Sketch-Based 3D Shape Retrieval
* Uncertainty Quantification Enforced Flash Radiography Reconstruction by Two-Level Efficient MCMC
* Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild
* Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
* UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing
* Unified Recurrent Video Object Segmentation Framework for Various Surveillance Environments, An
* Unsharp Mask Guided Filtering
* Unsupervised Abstract Reasoning for Raven's Problem Matrices
* Unsupervised Cross Domain Person Re-Identification by Multi-Loss Optimization Learning
* Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
* Unsupervised Discrete Hashing With Affinity Similarity
* Unsupervised Monocular Depth Estimation via Recursive Stereo Distillation
* Urban Scene LOD Vectorized Modeling From Photogrammetry Meshes
* Video Frame Interpolation and Enhancement via Pyramid Recurrent Framework
* Video Moment Localization via Deep Cross-Modal Hashing
* Visible-NIR Image Fusion Based on Top-Hat Transform
* Visual Explanation for Deep Metric Learning
* VMAF Oriented Perceptual Coding Based on Piecewise Metric Coupling
* VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning
* Vocabulary-Wide Credit Assignment for Training Image Captioning Models
* VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data
* VR Sickness Versus VR Presence: A Statistical Prediction Model
* WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
* Weakly Supervised Learning for Single Depth-Based Hand Shape Recovery
* Weakly-Supervised Salient Object Detection With Saliency Bounding Boxes
* Weighted Feature Histogram of Multi-Scale Local Patch Using Multi-Bit Binary Descriptor for Face Recognition
* Where to Prune: Using LSTM to Guide Data-Dependent Soft Pruning
* Zero-Shot Learning to Index on Semantic Trees for Scalable Image Retrieval
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Last update: 1-Nov-21 10:07:35
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