| _ | via | _ |
|---|
| 120/140 Mbit/s portable HDTV codec and its transmission performance in a field trial | via | INTELSAT satellite |
| 2-D Seismic Data Reconstruction | via | Truncated Nuclear Norm Regularization |
| 2-D Skeleton-Based Action Recognition | via | Two-Branch Stacked LSTM-RNNs |
| 2D and 3D Vascular Structures Enhancement | via | Multiscale Fractional Anisotropy Tensor |
| 2D facial expression recognition | via | 3D reconstruction and feature fusion |
| 2D Feature Detection | via | Local Energy |
| 2D Image head pose estimation | via | latent space regression under occlusion settings |
| 2D tree object representation | via | the slope chain code |
| 2D+t track detection | via | relative persistent homology |
| 2D-DOA Estimation for Coherent Signals | via | a Polarized Uniform Rectangular Array |
| 3-D Convolutional Encoder-Decoder Network for Low-Dose CT | via | Transfer Learning From a 2-D Trained Network |
| 3-D Curvilinear Structure Detection Filter | via | Structure-Ball Analysis |
| 3-D Head Tracking | via | Invariant Keypoint Learning |
| 3-D motion recovery | via | low rank matrix analysis |
| 3-D Object Recognition | via | Aspect Graph Aware 3-D Object Representation |
| 3-D Recognition | via | 2-Stage Associative Memory |
| 3-D Road Boundary Extraction From Mobile Laser Scanning Data | via | Supervoxels and Graph Cuts |
| 3-D SAR Imaging | via | High-Resolution Spectral Estimation Methods: Experiments With XPATCH |
| 3-D Scattering Image Sparse Reconstruction | via | Radar Network |
| 3-Dimensional Target Recognition | via | Sonar: A Neural-Network Model |
| 300-FPS Salient Object Detection | via | Minimum Directional Contrast |
| 360° Camera Alignment | via | Segmentation |
| 360° Single Image Super Resolution | via | Distortion-Aware Network and Distorted Perspective Images |
| 3D (pseudo) Zernike moments: Fast computation | via | symmetry properties of spherical harmonics and recursive radial polynomials |
| 3D assisted face recognition | via | progressive pose estimation |
| 3D Crowd Counting | via | Geometric Attention-Guided Multi-view Fusion |
| 3D dense reconstruction from 2D video sequence | via | 3D geometric segmentation |
| 3D Ego-Pose Estimation | via | Imitation Learning |
| 3D Face Alignment | via | Cascade 2D Shape Alignment and Constrained Structure from Motion |
| 3D Face Mask Anti-spoofing | via | Deep Fusion of Dynamic Texture and Shape Clues |
| 3D Face Pose and Animation Tracking | via | Eigen-Decomposition Based Bayesian Approach |
| 3D Face Reconstruction | via | Feature Point Depth Estimation and Shape Deformation |
| 3D facial expression recognition | via | multiple kernel learning of Multi-Scale Local Normal Patterns |
| 3D facial geometry recovery | via | group-wise optical flow |
| 3D facial landmark localization using texture regression | via | conformal mapping |
| 3D flow features visualization | via | fuzzy clustering |
| 3D Geometry Design | via | End-To-End Optimization for Land Seismic Acquisition |
| 3D Hand Pose Estimation | via | aligned latent space injection and kinematic losses |
| 3D hand reconstruction | via | aggregating intra and inter graphs guided by prior knowledge for hand-object interaction scenario |
| 3D Highlighter: Localizing Regions on 3D Shapes | via | Text Descriptions |
| 3D Human Action Representation Learning | via | Cross-View Consistency Pursuit |
| 3D Human Body Reconstruction from a Single Image | via | Volumetric Regression |
| 3D Human Motion Estimation | via | Motion Compression and Refinement |
| 3D Human Motion Generation from the Text | via | Gesture Action Classification and the Autoregressive Model |
| 3D Human Motion Prediction | via | Activity-Driven Attention-MLP Association |
| 3D Human Pose and Shape Reconstruction From Videos | via | Confidence-Aware Temporal Feature Aggregation |
| 3D Human Pose Estimation from a Single Image | via | Distance Matrix Regression |
| 3D human pose estimation from a single image | via | exemplar augmentation |
| 3D Human Pose Estimation | via | Deep Learning from 2D Annotations |
| 3D human pose estimation | via | human structure-aware fully connected network |
| 3D Human Pose Estimation | via | Intuitive Physics |
| 3D Information Guided Motion Transfer | via | Sequential Image Based Human Model Refinement and Face-Attention GAN |
| 3D Instance Segmentation | via | Enhanced Spatial and Semantic Supervision |
| 3D Instance Segmentation | via | Multi-Task Metric Learning |
| 3D Interest Point Detection | via | Discriminative Learning |
| 3D Layout Estimation | via | Weakly Supervised Learning of Plane Parameters From 2D Segmentation |
| 3D Line Segment Reconstruction in Structured Scenes | via | Coplanar Line Segment Clustering |
| 3D Lip Event Detection | via | Interframe Motion Divergence at Multiple Temporal Resolutions |
| 3D mask presentation attack detection | via | high resolution face parts |
| 3D Mesh Inpainting Using Matrix Completion | via | Augmented Lagrange Multiplier Method |
| 3D Model-Based Gaze Tracking | via | Iris Features With a Single Camera and a Single Light Source |
| 3D Motion Recovery | via | Affine Epipolar Geometry |
| 3D Neuron Microscopy Image Segmentation | via | the Ray-Shooting Model and a DC-BLSTM Network |
| 3D Object Completion | via | Class-Conditional Generative Adversarial Network |
| 3D Object Pose Inference | via | Kernel Principal Component Analysis with Image Euclidian Distance (IMED) |
| 3D object recognition | via | multi-view inspection in unknown environments |
| 3D Object Recognition | via | Simulated Particles Diffusion |
| 3d Object Retrieval | via | Range Image Queries Based On SIFT Descriptors On Panoramic Views |
| 3D object retrieval | via | range image queries in a bag-of-visual-words context |
| 3D object tracking | via | boundary constrained region-based model |
| 3D pedestrian localization fusing | via | monocular camera |
| 3D Plant Modelling | via | Hyperspectral Imaging |
| 3D Point Cloud Attribute Compression | via | Graph Prediction |
| 3D Point Cloud Super-Resolution | via | Graph Total Variation on Surface Normals |
| 3D point of interest detection | via | spectral irregularity diffusion |
| 3D Pose from Motion for Cross-View Action Recognition | via | Non-linear Circulant Temporal Encoding |
| 3D Pose-by-Detection of Vehicles | via | Discriminatively Reduced Ensembles of Correlation Filters |
| 3D reconstruction framework | via | combining one 3D scanner and multiple stereo trackers |
| 3D relevance feedback | via | multilevel relevance judgements |
| 3D Room Layout Estimation from a Cubemap of Panorama Image | via | Deep Manhattan Hough Transform |
| 3D Scene Analysis | via | Fusion of Light Striped Image and Intensity Image |
| 3D Scene Painting | via | Semantic Image Synthesis |
| 3D Scene Registration Method | via | Covariance Descriptors and an Evolutionary Stable Strategy Game Theory Solver, A |
| 3D Segmentation of the Prostate | via | Poisson Inverse Gradient Initialization |
| 3D Shape Matching | via | Two Layer Coding |
| 3D Shape Representation | via | Shock Flows |
| 3D Shape Restoration | via | Matrix Recovery |
| 3D Shape Retrieval | via | Irrelevance Filtering and Similarity Ranking (IF/SR) |
| 3D Shape Variational Autoencoder Latent Disentanglement | via | Mini-Batch Feature Swapping for Bodies and Faces |
| 3D Skeletal Gesture Recognition | via | Discriminative Coding on Time-Warping Invariant Riemannian Trajectories |
| 3D Skeletal Gesture Recognition | via | Hidden States Exploration |
| 3D Skeletal Gesture Recognition | via | Sparse Coding of Time-Warping Invariant Riemannian Trajectories |
| 3D Sketch-Aware Semantic Scene Completion | via | Semi-Supervised Structure Prior |
| 3D social platform for the Paths of | via | Regina, A |
| 3D Soma Detection in Large-Scale Whole Brain Images | via | a Two-Stage Neural Network |
| 3D Visualization | via | Augmented Reality: The Case of the Middle Stoa in the Ancient Agora of Athens |
| 3D-aware Facial Landmark Detection | via | Multi-view Consistent Training on Synthetic Data |
| 3D-aware Image Synthesis | via | Learning Structural and Textural Representations |
| 3D-Aware Object Goal Navigation | via | Simultaneous Exploration and Identification |
| 3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification | via | CT Colonography |
| 3D-RCNN: Instance-Level 3D Object Reconstruction | via | Render-and-Compare |
| 3D-SPS: Single-Stage 3D Visual Grounding | via | Referred Point Progressive Selection |
| 4D Human Body Capture from Egocentric Video | via | 3D Scene Grounding |
| 50 FPS Object-Level Saliency Detection | via | Maximally Stable Region |
| 6 DoF Pose Regression | via | Differentiable Rendering |
| 6-DOF Model Based Tracking | via | Object Coordinate Regression |
| 6d Camera Relocalization in Ambiguous Scenes | via | Continuous Multimodal Inference |
| 6D-ViT: Category-Level 6D Object Pose Estimation | via | Transformer-Based Instance Representation Learning |
| 8-Day and Daily Maximum and Minimum Air Temperature Estimation | via | Machine Learning Method on a Climate Zone to Global Scale |
| A-Fast-RCNN: Hard Positive Generation | via | Adversary for Object Detection |
| A-Optimal Sampling and Robust Reconstruction for Graph Signals | via | Truncated Neumann Series |
| AABO: Adaptive Anchor Box Optimization for Object Detection | via | Bayesian Sub-sampling |
| Abandoned Land Mapping Based on Spatiotemporal Features from PolSAR Data | via | Deep Learning Methods |
| ABC-NET: Avoiding Blocking Effect Color Shift Network for Single Image Dehazing | via | Restraining Transmission Bias |
| Aberration-free superresolution imaging | via | binary speckle pattern encoding and processing |
| Ablation-CAM: Visual Explanations for Deep Convolutional Network | via | Gradient-free Localization |
| Abnormal Behavior Detection | via | Sparse Reconstruction Analysis of Trajectory |
| Abnormal event detection | via | adaptive cascade dictionary learning |
| Abnormal Event Detection | via | Compact Low-Rank Sparse Learning |
| Abnormal Odor Detection in Electronic Nose | via | Self-Expression Inspired Extreme Learning Machine |
| Abnormality Detection | via | Iterative Deformable Registration and Basis-Pursuit Decomposition |
| Abrupt motion tracking | via | adaptive stochastic approximation Monte Carlo sampling |
| Abrupt Motion Tracking | via | Intensively Adaptive Markov-Chain Monte Carlo Sampling |
| Absolute 3D Human Pose Estimation | via | Weakly-supervised Learning |
| Abstract Spatial-Temporal Reasoning | via | Probabilistic Abduction and Execution |
| Abundance Estimation for Bilinear Mixture Models | via | Joint Sparse and Low-Rank Representation |
| Accelerate CNN | via | Recursive Bayesian Pruning |
| Accelerate convolutional neural networks for binary classification | via | cascading cost-sensitive feature |
| Accelerated Hypothesis Generation for Multistructure Data | via | Preference Analysis |
| Accelerated microstructure imaging | via | convex optimisation for regions with multiple fibres (AMICOx) |
| Accelerated Proximal Gradient Algorithm for Frame-Based Image Restoration | via | the Balanced Approach, An |
| Accelerating Atmospheric Turbulence Simulation | via | Learned Phase-to-Space Transform |
| Accelerating Convolutional Neural Networks | via | Activation Map Compression |
| Accelerating Dataset Distillation | via | Model Augmentation |
| Accelerating Deep Neural Networks | via | Semi-Structured Activation Sparsity |
| Accelerating DETR Convergence | via | Semantic-Aligned Matching |
| Accelerating Dynamic Programs | via | Nested Benders Decomposition with Application to Multi-Person Pose Estimation |
| Accelerating RNN Transducer Inference | via | Adaptive Expansion Search |
| Accelerating Self-Supervised Learning | via | Efficient Training Strategies |
| Accelerating Topic Detection on Web for a Large-Scale Data Set | via | Stochastic Poisson Deconvolution |
| Acceleration Framework for Super-resolution Network | via | Region Difficulty Self-adaption, An |
| Acceleration of histogram-based contrast enhancement | via | selective downsampling |
| Acceleration of RED | via | vector extrapolation |
| Accounting for Signal Loss Due to Dephasing in the Correction of Distortions in Gradient-Echo EPI | via | Nonrigid Registration |
| Accuracy and Long-Term Tracking | via | Overlap Maximization Integrated with Motion Continuity |
| Accuracy Assessment of Georeferenced Point Clouds Produced | via | Multi-view Stereo Techniques Applied to Imagery Acquired Via Unmanned Aerial Vehicle, An |
| Accuracy Assessment of Georeferenced Point Clouds Produced | via | Multi-view Stereo Techniques Applied to Imagery Acquired Via Unmanned Aerial Vehicle, An |
| Accuracy Estimation of the Optical Flow Methods in the Iris Structure Motion Analysis | via | Controlled Deformations |
| Accurate 3-DoF Camera Geo-Localization | via | Ground-to-Satellite Image Matching |
| Accurate 3D reconstruction | via | surface-consistency |
| Accurate and Efficient Gesture Spotting | via | Pruning and Subgesture Reasoning |
| Accurate and Efficient Image Super-Resolution | via | Global-Local Adjusting Dense Network |
| Accurate and efficient salient object detection | via | position prior attention |
| Accurate and Efficient Stereo Matching | via | Attention Concatenation Volume |
| Accurate and Fast Image Denoising | via | Attention Guided Scaling |
| Accurate and Robust Video Saliency Detection | via | Self-Paced Diffusion |
| Accurate Annotation of Remote Sensing Images | via | Active Spectral Clustering with Little Expert Knowledge |
| Accurate Arbitrary-Shaped Scene Text Detection | via | Iterative Polynomial Parameter Regression |
| Accurate Cell Segmentation in Digital Pathology Images | via | Attention Enforced Networks |
| Accurate depth image generation | via | overfit training of point cloud registration using local frame sets |
| Accurate depth map estimation from video | via | MRF optimization |
| Accurate Distortion-Driven Macroblock Level Rate Control | via | rho-Domain Analysis |
| Accurate Estimation of Body Height From a Single Depth Image | via | a Four-Stage Developing Network |
| Accurate Instance Segmentation for Remote Sensing Images | via | Adaptive and Dynamic Feature Learning |
| Accurate Localization of Oil Tanks in Remote Sensing Images | via | FGMRST-Based CNN |
| Accurate Monocular 3D Object Detection | via | Color-Embedded 3D Reconstruction for Autonomous Driving |
| Accurate MR image super-resolution | via | lightweight lateral inhibition network |
| Accurate Object Segmentation for Video Sequences | via | Temporal-Spatial-Frequency Saliency Model |
| Accurate Optical Flow | via | Direct Cost Volume Processing |
| Accurate Parking Control for Urban Rail Trains | via | Robust Adaptive Backstepping Approach |
| Accurate Rgb-d Salient Object Detection | via | Collaborative Learning |
| Accurate Rigid Body Localization | via | Semidefinite Relaxation Using Range Measurements |
| Accurate Rock-Mass Extraction From Terrestrial Laser Point Clouds | via | Multiscale and Multiview Convolutional Feature Representation |
| Accurate Salient Object Detection | via | Dense Recurrent Connections and Residual-Based Hierarchical Feature Integration |
| Accurate Scene Text Detection | via | Scale-Aware Data Augmentation and Shape Similarity Constraint |
| Accurate Segmentation of CT Male Pelvic Organs | via | Regression-Based Deformable Models and Multi-Task Random Forests |
| Accurate small object detection | via | density map aided saliency estimation |
| Accurate Structure Recovery | via | Weighted Nuclear Norm: A Low Rank Approach to Shape-from-Focus |
| Accurate vessel extraction | via | tensor completion of background layer in X-ray coronary angiograms |
| Accurate video saliency prediction | via | hierarchical fusion and temporal recurrence |
| Accurately Predicting Quality of Services in IoT | via | Using Self-Attention Representation and Deep Factorization Machines |
| Achieving a Better Stability-Plasticity Trade-off | via | Auxiliary Networks in Continual Learning |
| Achieving high angular resolution | via | view synthesis: Quality assessment of 3D content on super multiview lightfield display |
| Achieving Linguistic Provenance | via | Plagiarism Detection |
| Achieving Robustness in the Wild | via | Adversarial Mixing With Disentangled Representations |
| Achieving Super-Resolution Remote Sensing Images | via | the Wavelet Transform Combined With the Recursive Res-Net |
| ACNet: Strengthening the Kernel Skeletons for Powerful CNN | via | Asymmetric Convolution Blocks |
| ACQ: Improving generative data-free quantization | via | attention correction |
| Action classification in polarimetric infrared imagery | via | diffusion maps |
| Action Classification | via | Concepts and Attributes |
| Action recognition | via | bio-inspired features: The richness of center-surround interaction |
| Action recognition | via | local descriptors and holistic features |
| Action recognition | via | multi-feature fusion and Gaussian process classification |
| Action recognition | via | pose-based graph convolutional networks with intermediate dense supervision |
| Action recognition | via | sparse representation of characteristic frames |
| Action recognition | via | spatio-temporal local features: A comprehensive study |
| Action recognition | via | structured codebook construction |
| Active Batch Selection | via | Convex Relaxations with Guaranteed Solution Bounds |
| Active Compressive Sensing | via | Pyroelectric Infrared Sensor for Human Situation Recognition |
| Active Domain Adaptation | via | Clustering Uncertainty-weighted Embeddings |
| Active Fault-Tolerant Control for Discrete Vehicle Active Suspension | via | Reduced-Order Observer |
| Active Flattening of Curved Document Images | via | Two Structured Beams |
| Active Learning for Deep Object Detection | via | Probabilistic Modeling |
| Active Learning for Hyperspectral Image Classification | via | Hypergraph Neural Network |
| Active learning | via | local structure reconstruction |
| Active Sampling for Pairwise Comparisons | via | Approximate Message Passing and Information Gain Maximization |
| Active sampling | via | tracking |
| Active Surveillance | via | Group Sparse Bayesian Learning |
| Active User Detection and Channel Estimation for Spatial-Based Random Access in Crowded Massive MIMO Systems | via | Blind Super-Resolution |
| Activity Recognition | via | Classification Constrained Diffusion Maps |
| Actual and Forecasted Vulnerability Assessment to Seawater Intrusion | via | GALDIT-SUSI in the Volturno River Mouth (Italy) |
| AD-SiamRPN: Anti-Deformation Object Tracking | via | an Improved Siamese Region Proposal Network on Hyperspectral Videos |
| AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects | via | Few-Shot Interactions |
| AdaBest: Minimizing Client Drift in Federated Learning | via | Adaptive Bias Estimation |
| AdaNIC: Towards Practical Neural Image Compression | via | Dynamic Transform Routing |
| Adapt only once: Fast unsupervised person re-identification | via | relevance-aware guidance |
| Adapting Across Domains | via | Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint |
| Adapting Object Detectors | via | Selective Cross-Domain Alignment |
| Adapting to unknown smoothness | via | wavelets shrinkage |
| Adaptive 3D content generation | via | depth video based rendering |
| Adaptive and Accurate Method for Rotational Angular Velocity Estimation of Rotor Targets | via | Fourier Coefficient Interpolation, An |
| Adaptive and Simultaneous Trajectory Prediction for Heterogeneous Agents | via | Transferable Hierarchical Transformer Network |
| Adaptive appearance modeling | via | hierarchical entropy analysis over multi-type features |
| Adaptive autoregressive model with window extension | via | explicit geometry for image interpolation |
| Adaptive Camouflage Pattern Generation to Different Environments | via | Content-Aware Style Transfer |
| Adaptive cluster rendering | via | regression analysis |
| Adaptive Compressed Sensing | via | Minimizing Cramer-Rao Bound |
| Adaptive Control Strategies for Urban Network Traffic | via | a Decentralized Approach With User-Optimal Routing |
| Adaptive Domain Generalization | via | Online Disagreement Minimization |
| Adaptive elastic segmentation of brain MRI | via | shape-model-guided evolutionary programming |
| Adaptive Feature Selection | via | Boosting-Like Sparsity Regularization |
| Adaptive graph regularized Nonnegative Matrix Factorization | via | feature selection |
| Adaptive illumination-invariant face recognition | via | local nonlinear multi-layer contrast feature |
| Adaptive image decomposition | via | dictionary learning with stuctural incoherence |
| Adaptive Image Registration | via | Hierarchical Voronoi Subdivision |
| Adaptive Interaction Modeling | via | Graph Operations Search |
| Adaptive KPCA-based missing texture reconstruction approach including classification scheme | via | difference subspaces |
| Adaptive Labeling For Hash Code Learning | via | Neural Networks |
| Adaptive noise dictionary construction | via | IRRPCA for face recognition |
| Adaptive non-local means for multiview image denoising: Searching for the right patches | via | a statistical approach |
| Adaptive Nonseparable Wavelet Transform | via | Lifting and its Application to Content-Based Image Retrieval |
| Adaptive pedestrian tracking | via | patch-based features and spatial-temporal similarity measurement |
| Adaptive quantization parameter selection for low-delay HEVC | via | temporal propagation length estimation |
| Adaptive rational fractal interpolation function for image super-resolution | via | local fractal analysis |
| Adaptive Sensor Fault Accommodation for Vehicle Active Suspensions | via | Partial Measurement Information |
| Adaptive Signal Recovery on Graphs | via | Harmonic Analysis for Experimental Design in Neuroimaging |
| Adaptive Smoothing | via | Contextual and Local Discontinuities |
| Adaptive Sparse Vector Tracking | via | Online Bayesian Learning |
| Adaptive spatial-temporal surrounding-aware correlation filter tracking | via | ensemble learning |
| Adaptive stereo matching | via | loop-erased random walk |
| Adaptive stochastic segmentation | via | energy-convergence for brain tumor in MR images |
| Adaptive Subspace-Based Inverse Projections | via | Division Into Multiple Sub-Problems for Missing Image Data Restoration |
| Adaptive surface inspection | via | interactive evolution |
| Adaptive tracking control of a wheeled mobile robot | via | an uncalibrated camera system |
| Adaptive Trajectory Prediction | via | Transferable GNN |
| Adaptive Transform Domain Image Super-Resolution | via | Orthogonally Regularized Deep Networks |
| Adaptive transform | via | quantum signal processing: Application to signal and image denoising |
| Adaptive transmission compensation | via | human visual system for efficient single image dehazing |
| Adaptive Wavelets Based Multiresolution Modeling of Irregular Meshes | via | Harmonic Maps |
| Adaptive weighted learning for linear regression problems | via | Kullback-Leibler divergence |
| Adaptive Wing Loss for Robust Face Alignment | via | Heatmap Regression |
| Adaptive-Threshold Region Merging | via | Path Scanning |
| Adaptively Learning Facial Expression Representation | via | C-F Labels and Distillation |
| AdaptiveMix: Improving GAN Training | via | Feature Space Shrinkage |
| AdaTriplet-RA: Domain matching | via | adaptive triplet and reinforced attention for unsupervised domain adaptation |
| Addressing Heterogeneity in Federated Learning | via | Distributional Transformation |
| Addressing Information Inequality for Text-Based Person Search | via | Pedestrian-Centric Visual Denoising and Bias-Aware Alignments |
| Addressing multiple salient object detection | via | dual-space long-range dependencies |
| ADNet: Lane Shape Prediction | via | Anchor Decomposition |
| Adults' Pain Recognition | via | Facial Expressions Using CNN-Based AU Detection |
| Advanced Homology Computation of Digital Volumes | via | Cell Complexes |
| Advanced modulation and channel coding tecniques for digital HDTV | via | satellite in the 20 GHz range |
| Advances in Seismic Data Compression | via | Learning from Data: Compression for Seismic Data Acquisition |
| Advancing NASA's AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm | via | Incorporation of Richards' Equation |
| Adversarial Contrastive Learning | via | Asymmetric InfoNCE |
| Adversarial Data Augmentation | via | Deformation Statistics |
| Adversarial Defense | via | Learning to Generate Diverse Attacks |
| Adversarial Defense | via | Local Flatness Regularization |
| Adversarial Defense | via | Perturbation-Disentanglement in Hyperspectral Image Classification |
| Adversarial Erasing Framework | via | Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation |
| Adversarial Label Poisoning Attack on Graph Neural Networks | via | Label Propagation |
| Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis | via | Sparse-Modeled Signals |
| Adversarial robustness in discontinuous spaces | via | alternating sampling and descent |
| Adversarial robustness | via | attention transfer |
| Adversarial Robustness | via | Fisher-Rao Regularization |
| Adversarial Robustness | via | Random Projection Filters |
| Adversarially Robust Multi-Sensor Fusion Model Training | via | Random Feature Fusion for Semantic Segmentation |
| advPattern: Physical-World Attacks on Deep Person Re-Identification | via | Adversarially Transformable Patterns |
| AdvST: Generating Unrestricted Adversarial Images | via | Style Transfer |
| AE-Net: Fine-Grained Sketch-Based Image Retrieval | via | Attention-Enhanced Network |
| AEFormer: Zoom Camera Enables Remote Sensing Super-Resolution | via | Aligned and Enhanced Attention |
| AER adaptive control strategy | via | energy prediction for PHEV |
| Aerial Identification of Fruit Maturity in Amazonian Palms | via | Plant-Canopy Modeling |
| Aerial Image Segmentation | via | Noise Dispelling and Content Distilling |
| Aerial Reconstructions | via | Probabilistic Data Fusion |
| Aerial scene understanding in the wild: Multi-scene recognition | via | prototype-based memory networks |
| Aerotriangulation Supported By Camera Station Position Determined | via | Physical Integration Of Lidar And SLR Digital Camera |
| Aesthetic quality classification | via | subject region extraction |
| Aesthetic Text Logo Synthesis | via | Content-aware Layout Inferring |
| Affective Impression: Sentiment-Awareness POI Suggestion | via | Embedding in Heterogeneous LBSNs |
| Affective Video Content Analysis | via | Multimodal Deep Quality Embedding Network |
| Affine Epipolar Geometry | via | Factorization Method |
| Affine-Invariant Recognition of Handwritten Characters | via | Accelerated KL Divergence Minimization |
| Affine-transformation and 2D-projection invariant k-NN classification of handwritten characters | via | a new matching measure |
| Affinity learning | via | a diffusion process for subspace clustering |
| Affinity learning | via | self-diffusion for image segmentation and clustering |
| AFI-GAN: Improving feature interpolation of feature pyramid networks | via | adversarial training for object detection |
| AG-Meta: Adaptive graph meta-learning | via | representation consistency over local subgraphs |
| Age categorization | via | ECOC with fused gabor and LBP features |
| Age estimation | via | fusion of multiple binary age grouping systems |
| Age estimation | via | unsupervised neural networks |
| Age group classification | via | structured fusion of uncertainty-driven shape features and selected surface features |
| Age Prediction From Face Images | via | Contrastive Learning |
| Age Synthesis and Estimation | via | Faces: A Survey |
| AgentI2P: Optimizing Image-to-Point Cloud Registration | via | Behaviour Cloning and Reinforcement Learning |
| Agglomerative clustering | via | maximum incremental path integral |
| Aggregation | via | Separation: Boosting Facial Landmark Detector With Semi-Supervised Style Translation |
| AI-Empowered Speed Extraction | via | Port-Like Videos for Vehicular Trajectory Analysis |
| Air Quality Index Forecasting | via | Deep Dictionary Learning |
| Airborne Downward-Looking Sparse Linear Array 3-D SAR Imaging | via | 2-D Adaptive Iterative Reweighted Atomic Norm Minimization |
| Airborne Near Infrared Three-Dimensional Ghost Imaging LiDAR | via | Sparsity Constraint |
| AITST: Affective EEG-based person identification | via | interrelated temporal-spatial transformer |
| Aleatoric uncertainty estimation for dense stereo matching | via | CNN-based cost volume analysis |
| algorithm for detecting multiple salient objects in images | via | adaptive feature selection, An |
| Algorithm for Improving Non-Local Means Operators | via | Low-Rank Approximation, An |
| Algorithm of the Roundwood Volume Measurement | via | Photogrammetry, The |
| Algorithms and systolic architectures for multidimensional adaptive filtering | via | McClellan transformations |
| Alias-Free Convnets: Fractional Shift Invariance | via | Polynomial Activations |
| Aliasing Reduction | via | Frequency Roll-Off for Scalable Image/Video Coding |
| Align, Attend and Locate: Chest X-Ray Diagnosis | via | Contrast Induced Attention Network With Limited Supervision |
| AligNeRF: High-Fidelity Neural Radiance Fields | via | Alignment-Aware Training |
| ALIMC: Activity Landmark-Based Indoor Mapping | via | Crowdsourcing |
| All in Tokens: Unifying Output Space of Visual Tasks | via | Soft Token |
| All Labels Are Not Created Equal: Enhancing Semi-supervision | via | Label Grouping and Co-training |
| All-in-One Laser Scanning Methods for Surveying, Representing and Sharing Information on Archaeology. | via | Flaminia and the Furlo Tunnel Complex |
| Alle | via | ting Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation |
| Alle | via | ting Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning |
| Alle | via | ting Domain Shift via Discriminative Learning for Generalized Zero-Shot Learning |
| Alle | via | ting Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint |
| Alle | via | ting the estimation bias of deep deterministic policy gradient via co-regularization |
| AMatFormer: Efficient Feature Matching | via | Anchor Matching Transformer |
| AMBCR: Low-Light Image Enhancement | via | Attention Guided Multi-Branch Construction and Retinex Theory |
| Ambient occlusion | via | compressive visibility estimation |
| Analysis of asymmetry in mammograms | via | directional filtering with gabor wavelets |
| Analysis of Inpainting | via | Clustered Sparsity and Microlocal Analysis |
| Analysis of Planar Ornament Patterns | via | Motif Asymmetry Assumption and Local Connections |
| Analysis of SparseHash: An efficient embedding of set-similarity | via | sparse projections |
| Analysis of Swept Volumes | via | Lie Groups and Differential Equations |
| Analysis of Target Localization With Ideal Binary Detectors | via | Likelihood Function Smoothing |
| Analytics-Driven Visualization on Digital Directory | via | Screen-Smart Device Interactions |
| Analyzing Deep Neural Network's Transferability | via | Frechet Distance |
| Analyzing Front View Face Profiles for Face Recognition | via | the Walsh Transform |
| Analyzing Interpersonal Empathy | via | Collective Impressions |
| Analyzing multiple types of behaviors from traffic videos | via | nonparametric topic model |
| Analyzing Taiwanese Indigenous Folk Dances | via | Labanotation and Comparing Results from Interdisciplinary Studies |
| Ancestor Search: Generalized Open Set Recognition | via | Hyperbolic Side Information Learning |
| Anchor Structure Regularization Induced Multi-view Subspace Clustering | via | Enhanced Tensor Rank Minimization |
| Animating Arbitrary Objects | via | Deep Motion Transfer |
| Animation Transformer: Visual Correspondence | via | Segment Matching, The |
| Annotation Propagation in Large Image Databases | via | Dense Image Correspondence |
| Annual Actual Evapotranspiration Estimation | via | GIS Models of Three Empirical Methods Employing Remotely Sensed Data for the Peloponnese, Greece, and Comparison with Annual MODIS ET and Pan Evaporation Measurements |
| AnoLeaf: Unsupervised Leaf Disease Segmentation | via | Structurally Robust Generative Inpainting |
| Anomaly detection in crowd scenes | via | online adaptive one-class support vector machines |
| Anomaly detection in crowded scene | via | appearance and dynamics joint modeling |
| Anomaly Detection in Traffic Scenes | via | Spatial-Aware Motion Reconstruction |
| Anomaly Detection in Video | via | Self-Supervised and Multi-Task Learning |
| Anomaly Detection System | via | Moving Surveillance Robots with Human Collaboration, An |
| Anomaly detection | via | 3D-HOF and fast double sparse representation |
| Anomaly Detection | via | Estimated Mutual Information and Its Relationship to the GLRT |
| Anomaly Detection | via | Feature-Aided Tracking and Hidden Markov Models |
| Anomaly detection | via | gating highway connection for retinal fundus images |
| Anomaly Detection | via | Learnable Pretext Task |
| Anomaly Detection | via | Local Coordinate Factorization and Spatio-Temporal Pyramid |
| Anomaly Detection | via | Minimum Likelihood Generative Adversarial Networks |
| Anomaly Detection | via | Reverse Distillation from One-Class Embedding |
| Anomaly Detection | via | Self-Organizing Map |
| Anomaly-Aware Semantic Segmentation | via | Style-Aligned OoD Augmentation |
| Anonymous Gastritis Image Generation | via | Adversarial Learning from Gastric X-Ray Images |
| Answer Selection in Community Question Answering | via | Attentive Neural Networks |
| Answering knowledge-based visual questions | via | the exploration of Question Purpose |
| Antarctic Firn Characterization | via | Wideband Microwave Radiometry |
| Anti-Forensics for Face Swapping Videos | via | Adversarial Training |
| Anti-forensics of JPEG Detectors | via | Adaptive Quantization Table Replacement |
| Anti-Impulse-Noise Edge Detection | via | Anisotropic Morphological Directional Derivatives |
| Anti-occlusion person re-identification | via | body topology information restoration and similarity evaluation |
| Antialiasing Filter Design for Subpixel Downsampling | via | Frequency-Domain Analysis |
| AP-BSN: Self-Supervised Denoising for Real-World Images | via | Asymmetric PD and Blind-Spot Network |
| API-net: Robust Generative Classifier | via | a Single Discriminator |
| Apparent Ultra-High b-Value Diffusion-Weighted Image Reconstruction | via | Hidden Conditional Random Fields |
| Appearance debiased gaze estimation | via | stochastic subject-wise adversarial learning |
| Appearance flow estimation for online virtual clothing warping | via | optimal feature linear assignment |
| Appearance Matters, So Does Audio: Revealing the Hidden Face | via | Cross-Modality Transfer |
| Appearance-Based Gaze Estimation | via | Evaluation-Guided Asymmetric Regression |
| Appearance-Based Gaze Estimation | via | Uncalibrated Gaze Pattern Recovery |
| Appearance-Based Loop Closure Detection | via | Locality-Driven Accurate Motion Field Learning |
| Application of Fractional Fourier Transform to Moving Target Indication | via | Along-Track Interferometry |
| Application of the genetic algorithm for microwave imaging of a layered dielectric object | via | the regular shape expansion technique |
| Application of the Hausdorff Metric in Gray-Scale Mathematical Morphology | via | Truncated Umbrae |
| Applying Kanban to healthcare | via | immersive 3D virtual reality |
| Apprenticeship Learning: Transfer of Knowledge | via | Dataset Augmentation |
| Approach to Statistical Lip Modelling for Speaker Identification | via | Chromatic Feature Extraction, An |
| Approximate Clustering | via | the Mountain Method |
| Approximate Labeling | via | Graph Cuts Based on Linear Programming |
| Approximate Neural Architecture Search | via | Operation Distribution Learning |
| Approximate Nonmyopic Sensor Selection | via | Submodularity and Partitioning |
| Approximate pairwise clustering for large data sets | via | sampling plus extension |
| Approximating Curves | via | Alpha Shapes |
| Approximating global illumination with ambient occlusion and environment light | via | generative adversarial networks |
| Approximating lower-star persistence | via | 2D combinatorial map simplification |
| Approximation of functionals depending on jumps by elliptic functionals | via | ..-convergence |
| ARank: Toward specific model pruning | via | advantage rank for multiple salient objects detection |
| Arbitrary Point Cloud Upsampling | via | Dual Back-Projection Network |
| Arbitrary Shape Text Detection | via | Boundary Transformer |
| Arbitrary Shape Text Detection | via | Segmentation with Probability Maps |
| Arbitrary Style Transfer with Attentional Networks | via | Unbalanced Optimal Transport |
| Arbitrary-Oriented Scene Text Detection | via | Rotation Proposals |
| Arbitrary-Shape Scene Text Detection | via | Visual-Relational Rectification and Contour Approximation |
| Archaeology | via | underwater robots: Mapping and localization within maltese cistern systems |
| ARCTIC: A knowledge distillation approach | via | attention-based relation matching and activation region constraint for RGB-to-Infrared videos action recognition |
| Are Binary Annotations Sufficient? Video Moment Retrieval | via | Hierarchical Uncertainty-based Active Learning |
| Are you eligible? Predicting adulthood from face images | via | Class Specific Mean Autoencoder |
| AREA: Adaptive Reweighting | via | Effective Area for Long-Tailed Classification |
| Army of Thieves: Enhancing Black-Box Model Extraction | via | Ensemble based sample selection |
| ART-Point: Improving Rotation Robustness of Point Cloud Classifiers | via | Adversarial Rotation |
| Art2Real: Unfolding the Reality of Artworks | via | Semantically-Aware Image-To-Image Translation |
| Artefact-free image stitching | via | a better normed seam-cutting energy function |
| Artery-vein separation | via | MRA-An image processing approach |
| ArtFlow: Unbiased Image Style Transfer | via | Reversible Neural Flows |
| ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation | via | Online Exploration and Synthesis |
| Articulated Object Tracking | via | a Genetic Algorithm |
| Articulated pose estimation | via | multiple mixture parts model |
| Artifact reduction of compressed video | via | three-dimensional adaptive estimation of transform coefficients |
| Artificial Complex Cells | via | the Tropical Semiring |
| Artificial Ducts Created | via | High-Power HF Radio Waves at EISCAT |
| Artistic information extraction from Chinese calligraphy works | via | Shear-Guided filter |
| ASAG: Building Strong One-Decoder-Layer Sparse Detectors | via | Adaptive Sparse Anchor Generation |
| AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection | via | Transformers |
| Aspect Learning for Multimedia Summarization | via | Nonparametric Bayesian |
| Assemblenet++: Assembling Modality Representations | via | Attention Connections |
| AssemblyHands: Towards Egocentric Activity Understanding | via | 3D Hand Pose Estimation |
| Assessing Affective Dimensions of Play in Psychodynamic Child Psychotherapy | via | Text Analysis |
| Assessing Changes in Boreal Vegetation of Kola Peninsula | via | Large-Scale Land Cover Classification between 1985 and 2021 |
| Assessing Hydrological Modelling Driven by Different Precipitation Datasets | via | the SMAP Soil Moisture Product and Gauged Streamflow Data |
| Assessing Neural Network Robustness | via | Adversarial Pivotal Tuning |
| Assessing Personally Perceived Image Quality | via | Image Features and Collaborative Filtering |
| Assessing semantic information in convolutional neural network representations of images | via | image annotation |
| Assessing the Accuracy of Georeferenced Point Clouds Produced | via | Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery |
| Assessing the Long-Term Evolution of Abandoned Salinized Farmland | via | Temporal Remote Sensing Data |
| ASSIST: Personalized Indoor Navigation | via | Multimodal Sensors and High-Level Semantic Information |
| ASSISTER: Assistive Navigation | via | Conditional Instruction Generation |
| Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors | via | a Dirty Multi-Task Learning Method |
| Association Fields | via | Cuspless Sub-Riemannian Geodesics in SE(2) |
| Asymptotic Analysis of Inpainting | via | Universal Shearlet Systems |
| At-a-distance person recognition | via | combining ocular features |
| Atmospheric Correction of Hyperspectral Data Over Dark Surfaces | via | Simulated Annealing |
| Attack Agnostic Adversarial Defense | via | Visual Imperceptible Bound |
| Attack Agnostic Detection of Adversarial Examples | via | Random Subspace Analysis |
| Attack as the Best Defense: Nullifying Image-to-image Translation GANs | via | Limit-aware Adversarial Attack |
| Attend Refine Repeat: Active Box Proposal Generation | via | In-Out Localization |
| Attend to the Difference: Cross-Modality Person Re-Identification | via | Contrastive Correlation |
| Attention-Aware Face Hallucination | via | Deep Reinforcement Learning |
| Attentive Weights Generation for Few Shot Learning | via | Information Maximization |
| AttentiveNAS: Improving Neural Architecture Search | via | Attentive Sampling |
| AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks | via | Attention Mechanism |
| Attribute Discovery | via | Predictable Discriminative Binary Codes |
| Attribute prediction with long-range interactions | via | path coding |
| Attribute-driven image captioning | via | soft-switch pointer |
| Attribute-Image Person Re-identification | via | Modal-Consistent Metric Learning |
| Attribute-Preserving Face Dataset Anonymization | via | Latent Code Optimization |
| Audio signal identification | via | pattern capture and template matching |
| Audio-Driven Dubbing for User Generated Contents | via | Style-Aware Semi-Parametric Synthesis |
| Audio-visual biometric recognition | via | joint sparse representations |
| Audio-visual event classification | via | spatial-temporal-audio words |
| Audio-Visual Event Localization | via | Recursive Fusion by Joint Co-Attention |
| Audio-Visual Mismatch-Aware Video Retrieval | via | Association and Adjustment |
| Audio-Visual Speaker Identification | via | Adaptive Fusion Using Reliability Estimates of Both Modalities |
| Auditing Privacy Defenses in Federated Learning | via | Generative Gradient Leakage |
| Augmentation of rPPG Benchmark Datasets: Learning to Remove and Embed rPPG Signals | via | Double Cycle Consistent Learning from Unpaired Facial Videos |
| Augmented Face Representation Learning | via | Transitive Distillation |
| Augmented Lagrangian alternating direction method for low-rank minimization | via | non-convex approximation |
| Augmented Whole-Body Scanning | via | Magnifying PET |
| Augmenting Features | via | Contrastive Learning-based Generative Model for Long-Tailed Classification |
| Auto uning of price prediction models for high-frequency trading | via | reinforcement learning |
| Auto-calibration | via | the absolute quadric and scene constraints |
| Auto-Determining Mainlobe Width for Beampattern Synthesis | via | Relaxation Optimization |
| Auto-weighted multi-view clustering | via | deep matrix decomposition |
| Auto-weighted multi-view clustering | via | kernelized graph learning |
| Auto-weighted multi-view co-clustering | via | fast matrix factorization |
| Auto-X3D: Ultra-Efficient Video Understanding | via | Finer-Grained Neural Architecture Search |
| Autocalibration | via | Rank-Constrained Estimation of the Absolute Quadric |
| AutoCoMet: Smart Neural Architecture Search | via | Co-Regulated Shaping Reinforcement |
| AUTODEPTH: Single Image Depth Map Estimation | via | Residual CNN Encoder-Decoder and Stacked Hourglass |
| AutoDO: Robust AutoAugment for Biased Data with Label Noise | via | Scalable Probabilistic Implicit Differentiation |
| AutoENP: An Auto Rating Pipeline for Expressing Needs | via | Pointing Protocol |
| Automated 3D Object Reconstruction | via | Multi-Image Close-Range Photogrammetry |
| Automated analysis of brachial ultrasound image sequences: early detection of cardiovascular disease | via | surrogates of endothelial function |
| Automated and Lightweight Network Design | via | Random Search for Remote Sensing Image Scene Classification |
| Automated Camera Calibration | via | Homography Estimation with GNNs |
| Automated co-superpixel generation | via | graph matching |
| Automated corpus callosum extraction | via | Laplace-Beltrami nodal parcellation and intrinsic geodesic curvature flows on surfaces |
| Automated Crop Residue Estimation | via | Unsupervised Techniques Using High-Resolution UAS RGB Imagery |
| Automated Detection of Human Papillomavirus: | via | Analysis of Linear Array Images |
| Automated Detection of Label Errors in Semantic Segmentation Datasets | via | Deep Learning and Uncertainty Quantification |
| Automated human motion segmentation | via | motion regularities |
| Automated Knowledge Distillation | via | Monte Carlo Tree Search |
| Automated mango flowering assessment | via | refinement segmentation |
| Automated Melanoma Recognition in Dermoscopy Images | via | Very Deep Residual Networks |
| Automated Method for Retinal Artery/Vein Separation | via | Graph Search Metaheuristic Approach |
| Automated Optic Disk Segmentation | via | a Modified Snake Technique |
| Automated person recognition by walking and running | via | model-based approaches |
| Automated Registration of High Resolution Images from Slide Presentation and Whiteboard Handwriting | via | a Video Camera |
| Automated Road-Marking Segmentation | via | a Multiscale Attention-Based Dilated Convolutional Neural Network Using the Road Marking Dataset |
| Automated Skin Lesion Segmentation | via | an Adaptive Dual Attention Module |
| Automatic 3D Multiorgan Segmentation | via | Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases |
| Automatic 3D reconstruction of manifold meshes | via | delaunay triangulation and mesh sweeping |
| Automatic active contour segmentation approach | via | vector field convolution |
| Automatic Active Model Initialization | via | Poisson Inverse Gradient |
| Automatic Age Estimation from Face Images | via | Deep Ranking |
| Automatic blur type classification | via | ensemble SVM |
| Automatic Building Rooftop Extraction From Aerial Images | via | Hierarchical RGB-D Priors |
| Automatic Check-Out | via | Prototype-Based Classifier Learning from Single-Product Exemplars |
| Automatic Choice of the Threshold of a Grain Filter | via | Galton-Watson Trees: Application to Granite Cracks Detection |
| Automatic classification of grains | via | pattern recognition techniques |
| Automatic cloud segmentation from INSAT-3D satellite image | via | IKM and IFCM clustering |
| Automatic Design of CNNs | via | Differentiable Neural Architecture Search for PolSAR Image Classification |
| Automatic detection of 3D lighting inconsistencies | via | a facial landmark based morphable model |
| Automatic Detection of Cerebral Microbleeds From MR Images | via | 3D Convolutional Neural Networks |
| Automatic Detection of Defective Zebrafish Embryos | via | Shape Analysis |
| Automatic Detection of Facial Feature Points | via | HOGs and Geometric Prior Models |
| Automatic Detection of Floating Macroalgae | via | Adaptive Thresholding Using Sentinel-2 Satellite Data with 10 m Spatial Resolution |
| Automatic detection of subcellular particles in fluorescence microscopy | via | feature clustering and bayesian analysis |
| Automatic estimation of deterioration level on transmission towers | via | deep extreme learning machine based on local receptive field |
| Automatic exposure selection and fusion for high-dynamic-range photography | via | smartphones |
| Automatic Face Aging in Videos | via | Deep Reinforcement Learning |
| Automatic Face Recognition | via | Wavelets and Mathematical Morphology |
| Automatic facial attribute analysis | via | adaptive sparse representation of random patches |
| Automatic facial flaw detection and retouching | via | discriminative structure tensor |
| Automatic fault tracking across seismic volumes | via | tracking vectors |
| Automatic fetal face detection from ultrasound volumes | via | learning 3D and 2D information |
| Automatic First Arrival Picking | via | Deep Learning With Human Interactive Learning |
| Automatic fish segmentation | via | double local thresholding for trawl-based underwater camera systems |
| Automatic Gait Recognition | via | Fourier Descriptors of Deformable Objects |
| Automatic Group Affect Analysis in Images | via | Visual Attribute and Feature Networks |
| Automatic image annotation | via | label transfer in the semantic space |
| Automatic image annotation | via | local multi-label classification |
| Automatic Image Colorization | via | Multimodal Predictions |
| Automatic Image Orientation Detection | via | Confidence-Based Integration of Low-Level and Semantic Cues |
| Automatic individual holstein friesian cattle identification | via | selective local coat pattern matching in RGB-D imagery |
| Automatic Labeling of Handwritten Mathematical Symbols | via | Expression Matching |
| Automatic left ventricle segmentation | via | edge-shape feature-based fully convolutional neural network |
| Automatic License Plate Recognition | via | sliding-window darknet-YOLO deep learning |
| Automatic martian dust storm detection | via | decision level fusion basedondeep extreme learning machine |
| Automatic Matching of Multimodal Remote Sensing Images | via | Learned Unstructured Road Feature |
| Automatic modelling of building facade objects | via | primitive shapes |
| Automatic Multiorgan Segmentation | via | Multiscale Registration and Graph Cut |
| Automatic Network Pruning | via | Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle |
| Automatic quantification and classification of cervical cancer | via | Adaptive Nucleus Shape Modeling |
| Automatic Raft Labeling for Remote Sensing Images | via | Dual-Scale Homogeneous Convolutional Neural Network |
| Automatic recognition of 3-D objects | via | geographic encoding |
| Automatic Registration Between Dental Cone-Beam CT and Scanned Surface | via | Deep Pose Regression Neural Networks and Clustered Similarities |
| Automatic Registration of RGB-D Scans | via | Salient Directions |
| Automatic registration of terrestrial laserscanner data | via | imagery |
| Automatic Road Detection and Centerline Extraction | via | Cascaded End-to-End Convolutional Neural Network |
| Automatic segmentation of HEp-2 cell Fluorescence microscope images using level set method | via | geometric active contours |
| Automatic Segmentation of Spinal Canals in CT Images | via | Iterative Topology Refinement |
| Automatic Segmentation of the Left Atrium From MR Images | via | Variational Region Growing With a Moments-Based Shape Prior |
| Automatic Seismic Signal Detection | via | Record Segmentation |
| Automatic Shadow Generation | via | Exposure Fusion |
| Automatic sign segmentation from continuous signing | via | multiple sequence alignment |
| Automatic Single-Image-Based Rain Streaks Removal | via | Image Decomposition |
| Automatic Spatial-Spectral Feature Selection for Hyperspectral Image | via | Discriminative Sparse Multimodal Learning |
| Automatic spin measurements for pitched Baseballs | via | consumer-grade high-speed cameras |
| Automatic Target Recognition Organized | via | Jump-Diffusion Algorithms |
| Automatic user interaction correction | via | Multi-label Graph cuts |
| Automatic Video Captioning | via | Multi-channel Sequential Encoding |
| Automatic video description generation | via | LSTM with joint two-stream encoding |
| Automatic Video Indexing | via | Object Motion Analysis |
| Automatic video object segmentation | via | 3D structure tensor |
| Automatic Weakly Supervised Object Detection From High Spatial Resolution Remote Sensing Images | via | Dynamic Curriculum Learning |
| Automatic) Target Detection in Synthetic Aperture Radar Imagery | via | Terrain Recognition |
| Automatically Annotating Indoor Images with CAD Models | via | RGB-D Scans |
| Automatically mining Relevant Variable Interactions | via | Sparse Bayesian Learning |
| Automatically weighted binary multi-view clustering | via | deep initialization (AW-BMVC) |
| AutoMix: Mixup Networks for Sample Interpolation | via | Cooperative Barycenter Learning |
| AutoMSNet: Multi-Source Spatio-Temporal Network | via | Automatic Neural Architecture Search for Traffic Flow Prediction |
| Autonomous Endmember Detection | via | an Abundance Anomaly Guided Saliency Prior for Hyperspectral Imagery |
| Autonomous In-Situ Soundscape Augmentation | via | Joint Selection of Masker and Gain |
| Autonomous Manipulation Learning for Similar Deformable Objects | via | Only One Demonstration |
| Autonomous Outdoor Scanning | via | Online Topological and Geometric Path Optimization |
| Autonomous Planetary Landing | via | Deep Reinforcement Learning and Transfer Learning |
| Autonomous Vehicle Cut-In Algorithm for Lane-Merging Scenarios | via | Policy-Based Reinforcement Learning Nested Within Finite-State Machine |
| Autoregressive 3D Shape Generation | via | Canonical Mapping |
| Autoregressive image interpolation | via | context modeling and multiplanar constraint |
| AuxBranch: Binarization residual-aware network design | via | auxiliary branch search |
| Auxiliary Learning for Self-Supervised Video Representation | via | Similarity-based Knowledge Distillation |
| Back to Basics: Unsupervised Learning of Optical Flow | via | Brightness Constancy and Motion Smoothness |
| Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras | via | Photometric Constancy |
| Backdoor Attacks Against Deep Image Compression | via | Adaptive Frequency Trigger |
| Backdoor Defense | via | Adaptively Splitting Poisoned Dataset |
| Backdoor Defense | via | Deconfounded Representation Learning |
| Background extraction from video sequences | via | motion-assisted matrix completion |
| Background Modeling | via | Incremental Maximum Margin Criterion |
| Background Prior-Based Salient Object Detection | via | Deep Reconstruction Residual |
| Background Reconstruction | via | 3D-Transformer Network for Hyperspectral Anomaly Detection |
| Background recovery from video sequences | via | online motion-assisted RPCA |
| Background Recovery in Railroad Crossing Videos | via | Incremental Low-Rank Matrix Decomposition |
| Background Subtraction | via | 3D Convolutional Neural Networks |
| Background subtraction | via | early recurrence in dynamic scenes |
| Background Subtraction | via | Fast Robust Matrix Completion |
| Background Subtraction | via | generalized fused LASSO foreground modeling |
| Background subtraction | via | incremental maximum margin criterion: a discriminative subspace approach |
| Background Subtraction | via | Robust Dictionary Learning |
| Background Subtraction | via | Superpixel-Based Online Matrix Decomposition with Structured Foreground Constraints |
| Background subtraction | via | time continuity and texture consistency constraints |
| Bag of textons for image segmentation | via | soft clustering and convex shift |
| Bag-of-Features Based Classification of Breast Parenchymal Tissue in the Mammogram | via | Jointly Selecting and Weighting Visual Words |
| Bag-of-Features Based Medical Image Retrieval | via | Multiple Assignment and Visual Words Weighting |
| Bag-of-Visual-Phrases | via | Local Contexts |
| Balanced Multimodal Learning | via | On-the-fly Gradient Modulation |
| Balancing robustness and information abundance | via | self-diagnosing in traffic surveillance video analysis |
| BaLeNAS: Differentiable Architecture Search | via | the Bayesian Learning Rule |
| Band Ranking | via | Extended Coefficient of Variation for Hyperspectral Band Selection |
| Band Selection | via | Band Density Prominence Clustering for Hyperspectral Image Classification |
| Bandwidth Reduction of Video Signals | via | Shift Vector Transmission |
| Bandwidth Reduction | via | Movement Compensation on a Model of the Random Video Process |
| Baselines Extraction from Curved Document Images | via | Slope Fields Recovery |
| Batch Steganography | via | Generative Network |
| Bayesian Approach to Video Object Segmentation | via | Merging 3-D Watershed Volumes, A |
| Bayesian Hyperspectral and Multispectral Image Fusions | via | Double Matrix Factorization |
| Bayesian inference for multiband image segmentation | via | model-based cluster trees |
| Bayesian Morphological Peak Estimation and Its Application to Chromosome Counting | via | Fluorescence in-Situ Hybridization |
| Bayesian Network Refinement | via | Machine Learning Approach |
| Bayesian Oil Spill Segmentation of SAR Images | via | Graph Cuts |
| Bayesian robust tensor completion | via | CP decomposition |
| Bayesian Saliency | via | Low and Mid Level Cues |
| Bayesian Segmentation | via | Asymptotic Partition Functions |
| Bayesian Tangent Shape Model: Estimating Shape and Pose Parameters | via | Bayesian Inference |
| BCUIS-Net: A breast cancer ultrasound image segmentation network | via | boundary-aware and shape feature fusion |
| Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks | via | Self Distillation |
| Behavior recognition | via | sparse spatio-temporal features |
| Behavioral analysis of bar charts in documents | via | stochastic petri-net modeling |
| Behaviour detection in crowded classroom scenes | via | enhancing features robust to scale and perspective variations |
| BeiDou-Based Passive Radar Vessel Target Detection: Method and Experiment | via | Long-Time Optimized Integration |
| BEMF-Net: Semantic Segmentation of Large-Scale Point Clouds | via | Bilateral Neighbor Enhancement and Multi-Scale Fusion |
| Benchmarking Still-to-Video Face Recognition | via | Partial and Local Linear Discriminant Analysis on COX-S2V Dataset |
| Bespoke Fractal Sampling Patterns for Discrete Fourier Space | via | the Kaleidoscope Transform |
| Best of Both Worlds: Learning Arbitrary-scale Blind Super-Resolution | via | Dual Degradation Representations and Cycle-Consistency |
| Betrayed by Motion: Camouflaged Object Discovery | via | Motion Segmentation |
| Better Foreground Segmentation for Static Cameras | via | New Energy Form and Dynamic Graph-cut |
| Better multiclass classification | via | a margin-optimized single binary problem |
| BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera | via | Key-Points |
| BEV-SAN: Accurate BEV 3D Object Detection | via | Slice Attention Networks |
| BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition | via | Perspective Supervision |
| BEVFormer: Learning Bird's-Eye-View Representation from Multi-camera Images | via | Spatiotemporal Transformers |
| Beyond Active Learning: Leveraging the Full Potential of Human Interaction | via | Auto-Labeling, Human Correction, and Human Verification |
| Beyond Bounding Box: Fine-Grained Vehicle Detection | via | Single Stage Detector with Hierarchical output |
| Beyond Crude 3D Models: From Point Clouds to Historical Building Information Modeling | via | NURBS |
| Beyond Group: Multiple Person Tracking | via | Minimal Topology-Energy-Variation |
| Beyond Hard Negative Mining: Efficient Detector Learning | via | Block-Circulant Decomposition |
| Beyond Monocular Deraining: Parallel Stereo Deraining Network | via | Semantic Prior |
| Beyond Monocular Deraining: Stereo Image Deraining | via | Semantic Understanding |
| Beyond Procedural Facade Parsing: Bidirectional Alignment | via | Linear Programming |
| Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation | via | Semantic Knowledge Transfer and Self-Refinement |
| Beyond Single Path Integrated Gradients for Reliable Input Attribution | via | Randomized Path Sampling |
| Beyond Single Reference for Training: Underwater Image Enhancement | via | Comparative Learning |
| Beyond the limitation of monocular 3D detector | via | knowledge distillation |
| Beyond trees: MRF inference | via | outer-planar decomposition |
| BGT: A blind image quality evaluator | via | gradient and texture statistical features |
| Bi-clustering | via | MDL-Based Matrix Factorization |
| Bi-directional Training for Composed Image Retrieval | via | Text Prompt Learning |
| bi-level formulation for multiple kernel learning | via | self-paced training, A |
| bi-level metric learning framework | via | self-paced learning weighting, A |
| Bi-weighted ensemble | via | HMM-based approaches for temporal data clustering |
| Bi3D: Stereo Depth Estimation | via | Binary Classifications |
| BiCro: Noisy Correspondence Rectification for Multi-modality Data | via | Bi-directional Cross-modal Similarity Consistency |
| Bidirectional Motion Estimation | via | Vector Propagation |
| Bidirectional Semi-Supervised Dual-Branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images | via | Adaptive Cross and Parallel Supervisions |
| BiFormer: Learning Bilateral Motion Estimation | via | Bilateral Transformer for 4K Video Frame Interpolation |
| Bifurcation Localization in 3D Images | via | Evolutionary Geometric Deformable Templates |
| BiFuse: Monocular 360 Depth Estimation | via | Bi-Projection Fusion |
| Bilateral Symmetry Detection | via | Symmetry-growing |
| Bilinear Factorization | via | Augmented Lagrange Multipliers |
| Bilinear Modeling | via | Augmented Lagrange Multipliers (BALM) |
| Binarization of color document images | via | luminance and saturation color features |
| Binarizing MobileNet | via | Evolution-Based Searching |
| Binary Code Learning | via | Iterative Distance Adjustment |
| Binary Image Reconstruction | via | 2-D Viterbi Search |
| Binocular dance pose recognition and body orientation estimation | via | multilinear analysis |
| Biodiversity Mapping | via | Natura 2000 Conservation Status And Ebv Assessment Using Airborne Laser Scanning In Alkali Grasslands |
| BiPR-RL: Portrait relighting | via | bi-directional consistent deep reinforcement learning |
| Biprediction-Based Video Quality Enhancement | via | Learning |
| BIPS: Bi-modal Indoor Panorama Synthesis | via | Residual Depth-Aided Adversarial Learning |
| Bird Flu Outbreak Prediction | via | Satellite Tracking |
| Bistatic Scattering From Anisotropic Rough Surfaces | via | a Closed-Form Two-Scale Model |
| Biventricular Myocardial Strains | via | Nonrigid Registration of Anatomical NURBS Model |
| Black-box Explanation of Object Detectors | via | Saliency Maps |
| Black-Box Sparse Adversarial Attack | via | Multi-Objective Optimisation CVPR Proceedings |
| BLAST-NET: Semantic Segmentation of Human Blastocyst Components | via | Cascaded Atrous Pyramid and Dense Progressive Upsampling |
| Blessing of Dimensionality: Recovering Mixture Data | via | Dictionary Pursuit |
| Blind Audio-Visual Localization and Separation | via | Low-Rank and Sparsity |
| Blind Constant Modulus Multiuser Detection | via | Low-Rank Approximation |
| Blind deblurring and denoising | via | a learning deep CNN denoiser prior and an adaptive L 0-regularised gradient prior for passive millimetre-wave images |
| Blind Deblurring of Barcodes | via | Kullback-Leibler Divergence |
| Blind Deconvolution | via | Cumulant Extrema |
| Blind Deconvolution | via | Lower-Bounded Logarithmic Image Priors |
| Blind Deep S3D Image Quality Evaluation | via | Local to Global Feature Aggregation |
| Blind Face Restoration | via | Deep Multi-scale Component Dictionaries |
| Blind Face Restoration | via | Integrating Face Shape and Generative Priors |
| Blind hyperspectral image super resolution | via | simultaneously sparse and TV constraint |
| Blind Image Blur Estimation | via | Deep Learning |
| Blind Image Clustering for Camera Source Identification | via | Row-Sparsity Optimization |
| Blind image deblurring | via | content adaptive method |
| Blind image deblurring | via | coupled sparse representation |
| Blind Image Deblurring | via | Deep Discriminative Priors |
| Blind Image Deblurring | via | Salient Structure Detection and Sparse Representation |
| Blind Image Deblurring | via | Superpixel Segmentation Prior |
| Blind Image Denoising | via | Dependent Dirichlet Process Tree |
| Blind Image Denoising | via | Dynamic Dual Learning |
| Blind Image Inpainting | via | Omni-dimensional Gated Attention and Wavelet Queries |
| Blind Image Quality Assessment | via | Cross-View Consistency |
| Blind image quality assessment | via | learnable attention-based pooling |
| Blind Image Quality Assessment | via | Transformer Predicted Error Map and Perceptual Quality Token |
| Blind Image Quality Assessment | via | Vector Regression and Object Oriented Pooling |
| Blind Image Quality Assessment | via | Vision-Language Correspondence: A Multitask Learning Perspective |
| Blind image splicing detection | via | noise level function |
| Blind image watermarking | via | exploitation of inter-block prediction and visibility threshold in DCT domain |
| Blind Ptychographic Phase Retrieval | via | Convergent Alternating Direction Method of Multipliers |
| Blind quality assessment of gamut-mapped images | via | local and global statistical analysis |
| Blind Quality Assessment of Screen Content Images | via | Macro-Micro Modeling of Tensor Domain Dictionary |
| Blind Quality Assessment of Tone-Mapped Images | via | Analysis of Information, Naturalness, and Structure |
| Blind restoration of blurred photographs | via | AR modelling and MCMC |
| Blind Separation of Image Sources | via | Adaptive Dictionary Learning |
| Blind video denoising | via | texture-aware noise estimation |
| Blind Video Quality Assessment | via | Space-Time Slice Statistics |
| Blind video quality assessment | via | spatiotemporal statistical analysis of adaptive cube size 3D-DCT coefficients |
| Blind VQA on 360° Video | via | Progressively Learning From Pixels, Frames, and Video |
| Blind Watermarking | via | Pixel Modification with Regular Rule |
| BlindHarmony: Blind Harmonization for MR Images | via | Flow model |
| Blindly Assess Quality of In-the-Wild Videos | via | Quality-Aware Pre-Training and Motion Perception |
| Block-sparse signal recovery based on orthogonal matching pursuit | via | stage-wise weak selection |
| Blood Vessel Segmentation | via | Topology Interaction and Contrast |
| Blur and Illumination Robust Face Recognition | via | Set-Theoretic Characterization |
| Blur Detection | via | Phase Spectrum |
| Blur Kernel Estimation | via | Salient Edges and Low Rank Prior for Blind Image Deblurring |
| Blur Removal | via | Blurred-Noisy Image Pair |
| Blur-Robust Face Recognition | via | Transformation Learning |
| Blurred Face Recognition | via | a Hybrid Network Architecture |
| Body-Face Joint Detection | via | Embedding and Head Hook |
| Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy | via | Geometry-Guided Cross-View Transformer |
| Boosting Accuracy and Robustness of Student Models | via | Adaptive Adversarial Distillation |
| Boosting Adversarial Transferability | via | Gradient Relevance Attack |
| Boosting Crowd Counting | via | Multifaceted Attention |
| Boosting deep attribute learning | via | support vector regression for fast moving crowd counting |
| Boosting Deep Face Recognition | via | Disentangling Appearance and Geometry |
| Boosting Detection in Crowd Analysis | via | Underutilized Output Features |
| Boosting Gaussian mixture models | via | discriminant analysis |
| Boosting Image-Based Localization | via | Randomly Geometric Data Augmentation |
| Boosting Long-tailed Object Detection | via | Step-wise Learning on Smooth-tail Data |
| Boosting Monocular Depth Estimation Models to High-Resolution | via | Content-Adaptive Multi-Resolution Merging |
| Boosting One-Stage License Plate Detector | via | Self-Constrained Contrastive Aggregation |
| Boosting performance for 2D Linear Discriminant Analysis | via | regression |
| Boosting Robust Learning | via | Leveraging Reusable Samples in Noisy Web Data |
| Boosting Self-Supervised Learning | via | Knowledge Transfer |
| Boosting semantic segmentation | via | feature enhancement |
| Boosting Semi-Supervised Anomaly Detection | via | Contrasting Synthetic Images |
| Boosting Single Image Super-Resolution | via | Partial Channel Shifting |
| Boosting Source-free Domain Adaptation | via | Confidence-based Subsets Feature Alignment |
| Boosting Supervised Dehazing Methods | via | Bi-level Patch Reweighting |
| Boosting the Generalization Capability in Cross-Domain Few-shot Learning | via | Noise-enhanced Supervised Autoencoder |
| Boosting the Transferability of Adversarial Samples | via | Attention |
| Boosting Transferability of Targeted Adversarial Examples | via | Hierarchical Generative Networks |
| Boosting Verified Training for Robust Image Classifications | via | Abstraction |
| Boosting Video Object Segmentation | via | Space-Time Correspondence Learning |
| Boosting Weakly Supervised Object Detection | via | Learning Bounding Box Adjusters |
| Boosting Zero-Shot Image Classification | via | Pairwise Relationship Learning |
| Border identification of echocardiograms | via | multiscale edge detection and shape modeling |
| Bottom-up 2D pose estimation | via | dual anatomical centers for small-scale persons |
| Bottom-Up Human Pose Estimation | via | Disentangled Keypoint Regression |
| Boundary Determination of Object Surfaces | via | Textural Information |
| Boundary Smoothing | via | Symmetry Transforms |
| Boundary Unlearning: Rapid Forgetting of Deep Networks | via | Shifting the Decision Boundary |
| Boundary-aware Backward-Compatible Representation | via | Adversarial Learning in Image Retrieval |
| BoundED: Neural boundary and edge detection in 3D point clouds | via | local neighborhood statistics |
| Bounding Boxes Are All We Need: Street View Image Classification | via | Context Encoding of Detected Buildings |
| BPGrad: Towards Global Optimality in Deep Learning | via | Branch and Pruning |
| BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks | via | Image Quantization and Contrastive Adversarial Learning |
| Brain computer interface control | via | functional connectivity dynamics |
| Brain tissue MR-image segmentation | via | optimum-path forest clustering |
| Brain tumor image segmentation based on prior knowledge | via | transformer |
| Brain tumor segmentation and classification | via | adaptive CLFAHE with hybrid classification |
| Brain Tumor Type Classification | via | Capsule Networks |
| Brain-driven facial image reconstruction | via | StyleGAN inversion with improved identity consistency |
| BranchyNet: Fast inference | via | early exiting from deep neural networks |
| Breaching FedMD: Image Recovery | via | Paired-Logits Inversion Attack |
| Breaking the YASS algorithm | via | pixel and DCT coefficients analysis |
| Breast mass classification | via | deeply integrating the contextual information from multi-view data |
| Breast Segmentation in MRI | via | U-Net Deep Convolutional Neural Networks |
| Breast tissue density quantification | via | digitized mammograms |
| Breath-Hold CBCT-Guided CBCT-to-CT Synthesis | via | Multimodal Unsupervised Representation Disentanglement Learning |
| Bridging Adversarial and Statistical Domain Transfer | via | Spectral Adaptation Networks |
| Bridging Music and Image | via | Cross-Modal Ranking Analysis |
| Bridging optical and SAR satellite image time series | via | contrastive feature extraction for crop classification |
| Bridging Stereo Matching and Optical Flow | via | Spatiotemporal Correspondence |
| Bridging the Gap Between Anchor-Based and Anchor-Free Detection | via | Adaptive Training Sample Selection |
| Bridging the Gap Between Few-Shot and Many-Shot Learning | via | Distribution Calibration |
| Bridging the Semantic Gap | via | Functional Brain Imaging |
| Bridging the Visual Semantic Gap in VLN | via | Semantically Richer Instructions |
| Bridging Unsupervised and Supervised Depth from Focus | via | All-in-Focus Supervision |
| Brighten up Images | via | Dual-Branch Structure-Texture Awareness Feature Interaction |
| Broad Area Target Search System for Ship Detection | via | Deep Convolutional Neural Network |
| Broad Spectrum Image Deblurring | via | an Adaptive Super-Network |
| BR^2 Net: Defocus Blur Detection | via | a Bidirectional Channel Attention Residual Refining Network |
| BSP-Net: Generating Compact Meshes | via | Binary Space Partitioning |
| Building Archaeology Documentation and Analysis Through Open Source Hbim Solutions | via | Nurbs Modelling |
| Building CAD Model Reconstruction from Point Clouds | via | Instance Segmentation, Signed Distance Function, and Graph Cut |
| Building Change Detection in VHR SAR Images | via | Unsupervised Deep Transcoding |
| Building Extraction and Floor Area Estimation at the Village Level in Rural China | via | a Comprehensive Method Integrating UAV Photogrammetry and the Novel EDSANet |
| Building Extraction from High Spatial Resolution Remote Sensing Images | via | Multiscale-Aware and Segmentation-Prior Conditional Random Fields |
| Building facade detection | via | plane support points clustering |
| Building Footprint Extraction from High-Resolution Images | via | Spatial Residual Inception Convolutional Neural Network |
| Building Part-Based Object Detectors | via | 3D Geometry |
| Building Skeleton Models | via | 3-D Medial Surface Axis Thinning Algorithms |
| Burst Denoising | via | Temporally Shifted Wavelet Transforms |
| C3-SemiSeg: Contrastive Semi-supervised Segmentation | via | Cross-set Learning and Dynamic Class-balancing |
| CaCo: Both Positive and Negative Samples are Directly Learnable | via | Cooperative-Adversarial Contrastive Learning |
| CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation | via | Neural Homeomorphism |
| CAG-QIL: Context-Aware Actionness Grouping | via | Q Imitation Learning for Online Temporal Action Localization |
| Calculation Of Moment Invariants | via | Hadamard Transform |
| Calligraphy Font Generation | via | Explicitly Modeling Location-Aware Glyph Component Deformations |
| Camera and LiDAR Fusion for Urban Scene Reconstruction and Novel View Synthesis | via | Voxel-Based Neural Radiance Fields |
| Camera Displacement | via | Constrained Minimization of the Algebraic Error |
| Camera motion estimation | via | optimization-on-a-manifold |
| Camera-Pose Estimation | via | Projective Newton Optimization on the Manifold |
| Camera-Space Hand Mesh Recovery | via | Semantic Aggregation and Adaptive 2D-1D Registration |
| Camouflaged Instance Segmentation | via | Explicit De-Camouflaging |
| Camouflaged Object Detection | via | Context-Aware Cross-Level Fusion |
| Camouflaged object detection | via | cross-level refinement and interaction network |
| Camouflaged object detection | via | Neighbor Connection and Hierarchical Information Transfer |
| Cancellable speech template | via | random binary orthogonal matrices projection hashing |
| Canonical Polyadic Decomposition | via | the Generalized Schur Decomposition |
| Canonical Surface Mapping | via | Geometric Cycle Consistency |
| CAP: Robust Point Cloud Classification | via | Semantic and Structural Modeling |
| Capsule Networks' Interpretability for Brain Tumor Classification | via | Radiomics Analyses |
| Capsule-Based Regression Tracking | via | Background Inpainting |
| CapsuleRRT: Relationships-aware Regression Tracking | via | Capsules |
| Caption-Aided Product Detection | via | Collaborative Pseudo-Label Harmonization |
| Capture and control content discrepancies | via | normalised flow transfer |
| Capturing Flood Risk Perception | via | Sketch Maps |
| Capturing High-Level Semantic Correlations | via | Graph for Multimodal Sentiment Analysis |
| Capturing Small, Fast-Moving Objects: Frame Interpolation | via | Recurrent Motion Enhancement |
| Capturing Video Frame Rate Variations | via | Entropic Differencing |
| Car that Knows Before You Do: Anticipating Maneuvers | via | Learning Temporal Driving Models |
| Cardiac Image Reconstruction | via | Nonlinear Motion Correction Based on Partial Angle Reconstructed Images |
| Cardiac MRI Intervention and Diagnosis | via | Deformable Collaborative Tracking |
| Carotid Lumen Diameter and Intima-Media Thickness Measurement | via | Boundary-Guided Pseudo-Labeling |
| Carried Object Recognition | via | Location Relation with Body Parts |
| Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation | via | Height-Driven Attention Networks |
| Cartoon filter | via | adaptive abstraction |
| Cascaded Convolutional Neural Network-Based Hyperspectral Image Resolution Enhancement | via | an Auxiliary Panchromatic Image |
| Cascaded Prediction Network | via | Segment Tree for Temporal Video Grounding |
| CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation | via | Global and Local Refinement |
| Case Study: Hyperspectral face recognition | via | feature extraction and CRC-based classifier |
| Cast Search | via | Two-Stream Label Propagation |
| Castling-ViT: Compressing Self-Attention | via | Switching Towards Linear-Angular Attention at Vision Transformer Inference |
| CAT-DUnet: Enhancing Speech Dereverberation | via | Feature Fusion and Structural Similarity Loss |
| Category independent object discovery | via | background modeling |
| Category Level Object Pose Estimation | via | Neural Analysis-by-Synthesis |
| Category-specific object segmentation | via | unsupervised discriminant shape |
| CatTrack: Single-Stage Category-Level 6D Object Pose Tracking | via | Convolution and Vision Transformer |
| CausalVAE: Disentangled Representation Learning | via | Neural Structural Causal Models |
| CBA: Improving Online Continual Learning | via | Continual Bias Adaptor |
| CCMR: High Resolution Optical Flow Estimation | via | Coarse-to-Fine Context-Guided Motion Reasoning |
| CDFKD-MFS: Collaborative Data-Free Knowledge Distillation | via | Multi-Level Feature Sharing |
| CEFusion: Multi-Modal medical image fusion | via | cross encoder |
| Cell Classification in 3D Phase-Contrast Microscopy Images | via | Self-Organizing Maps |
| Cell Segmentation | via | Region-Based Ellipse Fitting |
| Cell tracking | via | Structured Prediction and Learning |
| CenLight: Centralized traffic grid signal optimization | via | action and state decomposition |
| Center of Attention: Center-Keypoint Grouping | via | Attention for Multi-Person Pose Estimation, The |
| Center-Ness and Repulsion: Constraints to Improve Remote Sensing Object Detection | via | RepPoints |
| Certified Patch Robustness | via | Smoothed Vision Transformers |
| CFA Video Denoising and Demosaicking Chain | via | Spatio-Temporal Patch-Based Filtering |
| CFCG: Semi-Supervised Semantic Segmentation | via | Cross-Fusion and Contour Guidance Supervision |
| CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization | via | Conditional Normalizing Flows |
| Chan-Vese Revisited: Relation to Otsu's Method and a Parameter-Free Non-PDE Solution | via | Morphological Framework |
| Change Detection in Heterogenous Remote Sensing Images | via | Homogeneous Pixel Transformation |
| Change Detection in Multisource VHR Images | via | Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network |
| Change Detection | via | Graph Matching and Multi-View Geometric Constraints |
| Change Detection | via | Selective Guided Contrasting Filters |
| Change Detection | via | Terrestrial Laser Scanning |
| Change Detection within Remotely Sensed Satellite Image Time Series | via | Spectral Analysis |
| Channel Pruning for Accelerating Convolutional Neural Networks | via | Wasserstein Metric |
| Channel Pruning | via | Attention Module And Memory Curve |
| Channel Pruning | via | Gradient Of Mutual Information For Light-Weight Convolutional Neural Networks |
| Channel Pruning | via | Lookahead Search Guided Reinforcement Learning |
| Channel-level Matching Knowledge Distillation for object detectors | via | MSE |
| ChannelNets: Compact and Efficient Convolutional Neural Networks | via | Channel-Wise Convolutions |
| Character Identification in TV-series | via | Non-local Cost Aggregation |
| Character Prediction in TV Series | via | a Semantic Projection Network |
| Character Recognition | via | a Compact Convolutional Neural Network |
| Character Shape Restoration of Binarized Historical Documents by Smoothing | via | Geodesic Morphology |
| Characterising Range Image Features | via | Gradient Operators |
| Characterization and Removal of RFI Artifacts in Radar Data | via | Model-Constrained Deep Learning Approach |
| Characterization of Operational Vibrations of Steel-Girder Highway Bridges | via | LiDAR |
| Characterization of Palmprints by Wavelet Signatures | via | Directional Context Modeling |
| characterization of the geometric architecture of the peritalar joint complex | via | MRI, an aid to classification of foot type, A |
| Characterizing and Mapping Volcanic Flow Deposits on Mount St. Helens | via | Dual-Band SAR Imagery |
| Characterizing Driver Intention | via | Hierarchical Perception-Action Modeling |
| Characterizing Heterogeneous Traffic Flow at a Slope Bottleneck | via | Cellular Automaton Model |
| Characterizing Snowpack and the Freeze-Thaw State of Underlying Soil | via | Assimilation of Multifrequency Passive/Active Microwave Data: A Case Study (NASA CLPX 2003) |
| Characters as graphs: Interpretable handwritten Chinese character recognition | via | Pyramid Graph Transformer |
| ChartOCR: Data Extraction from Charts Images | via | a Deep Hybrid Framework |
| Cheating Depth: Enhancing 3D Surface Anomaly Detection | via | Depth Simulation |
| Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data | via | Differentiable Cross-Approximation |
| Childhood Leukemia Classification | via | Information Bottleneck Enhanced Hierarchical Multi-Instance Learning |
| CHIMERA: Clustering of Heterogeneous Disease Effects | via | Distribution Matching of Imaging Patterns |
| China's Wealth Capital Stock Mapping | via | Machine Learning Methods |
| Chinese character recognition | via | Gegenbauer moments |
| Chinese Image Caption Generation | via | Visual Attention and Topic Modeling |
| ChipQA: No-Reference Video Quality Prediction | via | Space-Time Chips |
| Chord: Category-level Hand-held Object Reconstruction | via | Shape Deformation |
| Chromosome counting | via | digital image analysis |
| ChunkyGAN: Real Image Inversion | via | Segments |
| CiCo: Domain-Aware Sign Language Retrieval | via | Cross-Lingual Contrastive Learning |
| Circle extraction | via | least squares and the Kalman filter |
| City Scale Image Geolocalization | via | Dense Scene Alignment |
| City-Scale Distance Sensing | via | Bispectral Light Extinction in Bad Weather |
| CLAREL: Classification | via | retrieval loss for zero-shot learning |
| Class Activation Map Refinement | via | Semantic Affinity Exploration for Weakly Supervised Object Detection |
| Class-Aware Sounding Objects Localization | via | Audiovisual Correspondence |
| Class-incremental Learning | via | Deep Model Consolidation |
| Class-Incremental Unsupervised Domain Adaptation | via | Pseudo-Label Distillation |
| Class-Specific Reconstruction Transfer Learning | via | Sparse Low-Rank Constraint |
| Class-unbalanced domain adaptation for object detection | via | dynamic weighting mechanism |
| Classification and clustering | via | dictionary learning with structured incoherence and shared features |
| Classification Enhancement | via | Biometric Pattern Perturbation |
| classification method for brain MRI | via | MobileNet and feedforward network with random weights, A |
| Classification of Anomalous Pixels in the Focal Plane Arrays of Orbiting Carbon Observatory-2 and -3 | via | Machine Learning |
| Classification of Brain Disorders in rs-fMRI | via | Local-to-Global Graph Neural Networks |
| Classification of breast mass in two-view mammograms | via | deep learning |
| Classification of clouds in satellite imagery using over-complete dictionary | via | sparse representation |
| Classification of Histology Sections | via | Multispectral Convolutional Sparse Coding |
| Classification of Human Epithelial type 2 cell indirect immunofluoresence images | via | codebook based descriptors |
| Classification of Hyperspectral Images by Exploiting Spectral-Spatial Information of Superpixel | via | Multiple Kernels |
| Classification of hyperspectral images | via | improved cycle-MLP |
| Classification of Hyperspectral Images | via | Multitask Generative Adversarial Networks |
| Classification of Hyperspectral Images | via | Weighted Spatial Correlation Representation |
| Classification of Man-Made Targets | via | Invariant Coherency-Matrix Eigenvector Decomposition of Polarimetric SAR/ISAR Images |
| Classification of Microorganisms | via | Raman Spectroscopy Using Gaussian Processes |
| Classification of temporal sequences | via | prediction using the simple recurrent neural network |
| Classification of Tumor Histology | via | Morphometric Context |
| Classification of tumor in one single ultrasound image | via | a novel multi-view learning strategy |
| Classification | via | Minimum Incremental Coding Length |
| Classification | via | semi-Riemannian spaces |
| Classification | via | semi-supervised multi-random subspace sparse representation |
| Classification | via | Simplicial Learning |
| Classification | via | Sparse Representation of Steerable Wavelet Frames on Grassmann Manifold: Application to Target Recognition in SAR Image |
| Classification with emotional faces | via | a robust sparse classifier |
| Classifier design given an uncertainty class of feature distributions | via | regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification |
| Classifying dynamic textures | via | spatiotemporal fractal analysis |
| Classifying Stages of Mild Cognitive Impairment | via | Augmented Graph Embedding |
| ClassMap: Efficient Multiclass Recognition | via | Embeddings |
| CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup | via | Adversarial Latent Search |
| CLIP4Stereo: Revisiting Domain Generalized Stereo Matching | via | Clip |
| Closed Form Solutions for Reconstruction | via | Complex Analysis |
| closed-form solution to uncalibrated photometric stereo | via | diffuse maxima, A |
| Closed-Form, Consistent and Robust Solution to Uncalibrated Photometric Stereo | via | Local Diffuse Reflectance Maxima, A |
| Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation | via | Adaptive Loss Functions |
| Closing the Loop: Joint Rain Generation and Removal | via | Disentangled Image Translation |
| Clothes Co-Parsing | via | Joint Image Segmentation and Labeling With Application to Clothing Retrieval |
| Clothes-Changing Person Re-Identification | via | Universal Framework With Association and Forgetting Learning |
| ClothPose: A Real-world Benchmark for Visual Analysis of Garment Pose | via | An Indirect Recording Solution |
| Cloud Removal Based on Sparse Representation | via | Multitemporal Dictionary Learning |
| Cloud removal using SAR and optical images | via | attention mechanism-based GAN |
| Cloud Shadow Detection | via | Ray Casting with Probability Analysis Refinement Using Sentinel-2 Satellite Data |
| CLRIC: Collecting Lane-Based Road Information | via | Crowdsourcing |
| Clump splitting | via | bottleneck detection |
| Cluster Sampling Method for Image Matting | via | Sparse Coding, A |
| Cluster-based image super-resolution | via | jointly low-rank and sparse representation |
| Clustering noisy data in a reduced dimension space | via | multivariate regression trees |
| Clustering of multivariate binary data with dimension reduction | via | L1-regularized likelihood maximization |
| Clustering on Grassmann manifolds | via | kernel embedding with application to action analysis |
| Clustering | via | binary embedding |
| Clutter Suppression Algorithm | via | Weighted L_2-norm Penalty for Airborne Radar, A |
| CMCS-net: Image Compressed Sensing with Convolutional Measurement | via | DCNN |
| CNN in MRF: Video Object Segmentation | via | Inference in a CNN-Based Higher-Order Spatio-Temporal MRF |
| CNN-Based Blind Quality Prediction On Stereoscopic Images | via | Patch To Image Feature Pooling |
| CNN-Based Indoor Occupant Localization | via | Active Scene Illumination |
| CNNs-Based RGB-D Saliency Detection | via | Cross-View Transfer and Multiview Fusion |
| Co-Correcting: Noise-Tolerant Medical Image Classification | via | Mutual Label Correction |
| Co-Saliency Detection | via | a General Optimization Model and Adaptive Graph Learning |
| Co-Saliency Detection | via | a Self-Paced Multiple-Instance Learning Framework |
| Co-Saliency Detection | via | Co-Salient Object Discovery and Recovery |
| Co-saliency detection | via | inter and intra saliency propagation |
| Co-saliency detection | via | looking deep and wide |
| Co-Saliency Detection | via | Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing |
| Co-saliency detection | via | seed propagation over the integrated graph with a cluster layer |
| Co-saliency detection | via | similarity-based saliency propagation |
| Co-Saliency Detection | via | Unified Hierarchical Graph Neural Network With Geometric Attention |
| Co-segmentation of 3D shapes | via | multi-view spectral clustering |
| Co-segmentation | via | visualization |
| Coarse Classification of Chinese Characters | via | Stroke Clustering Method |
| Coarse Classification of Online Chinese Characters | via | Structure Feature-Based Method |
| Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation | via | Discretisation |
| COCO-GAN: Generation by Parts | via | Conditional Coordinating |
| Coding Ecology: Image Coding | via | Competition Among Experts, The |
| Coding-Assisted Broadcast Scheduling | via | Memetic Computing in SDN-Based Vehicular Networks |
| Cognitive Beamforming Method | via | Range-Doppler Map Features for Skywave Radar, A |
| Cognitive data augmentation for adversarial defense | via | pixel masking |
| Cohabitation Discovery | via | Spatial and Temporal Clustering |
| Coherent Visual Storytelling | via | Parallel Top-Down Visual and Topic Attention |
| Collaboration and spatialization for an efficient multi-person tracking | via | sparse representations |
| Collaborative 3D Object Detection for Autonomous Vehicles | via | Learnable Communications |
| Collaborative Motion Prediction | via | Neural Motion Message Passing |
| Collaborative Unmixing Hyperspectral Imagery | via | Nonnegative Matrix Factorization |
| Collecting smart meter data | via | public transportation buses |
| Collinear groupwise feature selection | via | discrete fusion group regression |
| Collision Anticipation | via | Deep Reinforcement Learning for Visual Navigation |
| Collision Risk Assessment Algorithm | via | Lane-Based Probabilistic Motion Prediction of Surrounding Vehicles |
| Color Alignment for Relative Color Constancy | via | Non-Standard References |
| Color Calibration of Proximal Sensing RGB Images of Oilseed Rape Canopy | via | Deep Learning Combined with K-Means Algorithm |
| Color Cast Dependent Image Dehazing | via | Adaptive Airlight Refinement and Non-Linear Color Balancing |
| Color Constancy | via | Convex Kernel Optimization |
| Color correction | via | robust reference selection and recovery using a low-rank matrix model |
| Color Demosaicking | via | Directional Linear Minimum Mean Square-Error Estimation |
| Color image demosaicking | via | deep residual learning |
| Color Image Denoising | via | Cross-Channel Texture Transferring |
| Color Image Denoising | via | Discriminatively Learned Iterative Shrinkage |
| Color image denoising | via | monogenic matrix-based sparse representation |
| Color Image Denoising | via | Sparse 3D Collaborative Filtering with Grouping Constraint in Luminance-Chrominance Space |
| Color image enhancement | via | chromaticity diffusion |
| Color Image Inpainting | via | Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss |
| Color image regularization | via | channel mixing and half quadratic minimization |
| Color inspection of printed texture using scanner: compensation of positional de | via | tion via NN model |
| Color Photo Denoising | via | Hue, Saturation and Intensity Diffusion |
| Color Segmentation | via | Improved Mountain Clustering Technique |
| Color transfer | via | local binary patterns mapping |
| Color-Guided Depth Recovery | via | Joint Local Structural and Nonlocal Low-Rank Regularization |
| ColorFormer: Image Colorization | via | Color Memory Assisted Hybrid-Attention Transformer |
| Coloring With Limited Data: Few-Shot Colorization | via | Memory Augmented Networks |
| Colorization of Depth Map | via | Disentanglement |
| Colorization of natural images | via | L1 optimization |
| Colour compressed sensing imaging | via | sparse difference and fractal minimisation recovery |
| Colour harmonisation for images and videos | via | two-level graph cut |
| Colour image encryption | via | fractional chaotic state estimation |
| Columnar Architecture and Computational Anatomy in Primate Visual Cortex: Segmentation and Feature Extraction | via | Spatial Frequence Coded Difference Mapping |
| Combination of Advanced Inversion Techniques for an Accurate Target Localization | via | GPR for Demining Applications |
| Combinatorial Learning of Graph Edit Distance | via | Dynamic Embedding |
| Combing porcupine | via | stereographic direction diffusion |
| Combining Hardwaremetry and Biometry for Human Authentication | via | Smartphones |
| Combining of Multiple Deep Networks | via | Ensemble Generalization Loss, Based on MRI Images, for Alzheimer's Disease Classification |
| Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping | via | a multi-source deep learning architecture |
| Combining Task Predictors | via | Enhancing Joint Predictability |
| Comic frame extraction | via | line segments combination |
| COMIM-GAN: Improved Text-to-Image Generation | via | Condition Optimization and Mutual Information Maximization |
| Comment on Blagoveshchenskaya et al. Artificial Ducts Created | via | High-Power HF Radio Waves at EISCAT. Remote Sens. 2023, 15, 2300 |
| Comments on 'Near-Field Source Localization | via | Symmetric Subarrays' |
| Comments on 'new family of lapped biorthogonal transform | via | lifting steps' |
| Common Landmark Discovery for Object-Level View Image Retrieval: Modeling and Matching of Scenes | via | Bag-of-Bounding-Boxes |
| Common Visual Pattern Discovery | via | Directed Graph |
| Common visual pattern discovery | via | directed graph model |
| Common Visual Pattern Discovery | via | Nonlinear Mean Shift Clustering |
| Common visual pattern discovery | via | spatially coherent correspondences |
| Communication Efficient SGD | via | Gradient Sampling with Bayes Prior |
| Communication | via | Eye Blinks: Detection and Duration Analysis in Real Time |
| Community Channel-Net: Efficient channel-wise interactions | via | community graph topology |
| Compact and Cancelable Fingerprint Binary Codes Generation | via | One Permutation Hashing |
| Compact discriminative object representation | via | weakly supervised learning for real-time visual tracking |
| Compact Image Fingerprint | via | Multiple Kernel Hashing |
| Compact Neural Network | via | Stacking Hybrid Units |
| Comparative Sensitivity of Vegetation Indices Measured | via | Proximal and Aerial Sensors for Assessing N Status and Predicting Grain Yield in Rice Cropping Systems |
| Comparative Study on Autism Spectrum Disorder Detection | via | 3d Convolutional Neural Networks, A |
| Comparing image resamplers | via | a model of the human vision system |
| Comparison Between Dielectric Inversion Results From Synthetic Aperture Radar Co- and Quad-Polarimetric Data | via | a Polarimetric Two-Scale Model |
| Comparison of the Cross Deleted Wigner Representation and the Matching Pursuit Distribution ( | via | Adaptive Signal Decomposition) |
| Comparison of watermarking algorithms | via | a GA-based benchmarking tool |
| Compensation of motion artifacts in MRI | via | graph-based optimization |
| Competence-aware Curriculum for Visual Concepts Learning | via | Question Answering, A |
| Complete/incomplete multi-view subspace clustering | via | soft block-diagonal-induced regulariser |
| Completely blind image quality assessment | via | contourlet energy statistics |
| Completely Self-supervised Crowd Counting | via | Distribution Matching |
| COMPLETER: Incomplete Multi-view Clustering | via | Contrastive Prediction |
| Complex Activity Recognition | via | Attribute Dynamics |
| Complex Event Detection | via | Multi-source Video Attributes |
| Complex loss optimization | via | dual decomposition |
| Complex Mountain Road Extraction in High-Resolution Remote Sensing Images | via | a Light Roadformer and a New Benchmark |
| Complex Video Action Reasoning | via | Learnable Markov Logic Network |
| Complexity reduction in multi-dictionary based single-image superresolution reconstruction | via | phase congruency |
| ComplexMix: Semi-Supervised Semantic Segmentation | via | Mask-Based Data Augmentation |
| Composed Image Retrieval | via | Cross Relation Network With Hierarchical Aggregation Transformer |
| Composed Image Retrieval | via | Explicit Erasure and Replenishment With Semantic Alignment |
| Composite Shape Modeling | via | Latent Space Factorization |
| Compositional Scene Representation Learning | via | Reconstruction: A Survey |
| Compound color recognition | via | image analysis on high-throughput compound libraries |
| Compound Domain Generalization | via | Meta-Knowledge Encoding |
| Comprehensive feature fusion mechanism for video-based person re-identification | via | significance-aware attention |
| Comprehensive Image Captioning | via | Scene Graph Decomposition |
| Comprehensive Online Network Pruning | via | Learnable Scaling Factors |
| Comprehensive Vulnerability Evaluation of Face Recognition Systems to Template Inversion Attacks | via | 3D Face Reconstruction |
| Compressed hyperspectral image recovery | via | total variation regularization assuming linear mixing |
| Compressed Image Restoration | via | Artifacts-Free PCA Basis Learning and Adaptive Sparse Modeling |
| Compressed sensing image reconstruction | via | adaptive sparse nonlocal regularization |
| Compressed Sensing Image Reconstruction | via | Recursive Spatially Adaptive Filtering |
| Compressed Sensing | via | Dual Frame Based L_1-Analysis With Weibull Matrices |
| Compressing 3-D Human Motions | via | Keyframe-Based Geometry Videos |
| Compressing Convolutional Neural Networks | via | Factorized Convolutional Filters |
| Compressing Quadtrees | via | Common Subtree Merging |
| Compressing Visual-linguistic Model | via | Knowledge Distillation |
| Compression artifact reduction of low bit-rate videos | via | deep neural networks using self-similarity prior |
| Compression of Acoustic Model | via | Knowledge Distillation and Pruning |
| Compression of Color Image | via | the Technique of Surface Fitting |
| Compression of YOLOv3 | via | Block-Wise and Channel-Wise Pruning for Real-Time and Complicated Autonomous Driving Environment Sensing Applications |
| Compressive Hyperspectral Imaging | via | Sparse Tensor and Nonlinear Compressed Sensing |
| Compressive Online Robust Principal Component Analysis | via | n-L_1 Minimization |
| Compressive sensed video recovery | via | iterative thresholding with random transforms |
| Compressive Sensing Matrix Design for Fast Encoding and Decoding | via | Sparse FFT |
| Compressive sensing reconstruction | via | decomposition |
| Compressive Sensing | via | Nonlocal Low-Rank Regularization |
| Compressive Spectral Light Field Image Reconstruction | via | Online Tensor Representation |
| Compressive tracking | via | oversaturated sub-region classifiers |
| Compressive video microscope | via | structured illumination |
| Computation of Circular Area and Spherical Volume Invariants | via | Boundary Integrals |
| Computation of Ridges | via | Pullback Metrics from Scale Space |
| Computation Reduction in Object Detection | via | Composite Structure of Modified Integral Images, The |
| Computation-Efficient Knowledge Distillation | via | Uncertainty-Aware Mixup |
| Computational complexity reduction | via | mode superposition: Application to biomechanics-based nonlinear cardiac deformation recovery |
| computational model for predicting local distortion visibility | via | convolutional neural network trained on natural scenes, A |
| Computationally Efficient Shape Analysis | via | Level Sets, A |
| Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation | via | Dual Pseudo-Label Supervision |
| Computer aided endoscope diagnosis | via | weakly labeled data mining |
| Computer Operation | via | Face Orientation |
| Computer-aided superimposition | via | reconstructing and matching 3D faces to 3D skulls for forensic craniofacial identifications |
| Computing geodesics and minimal surfaces | via | graph cuts |
| Computing Large Deformation Metric Mappings | via | Geodesic Flows of Diffeomorphisms |
| Computing Minimal Surfaces | via | Level Set Curvature Flows |
| Computing nearest-neighbor fields | via | Propagation-Assisted KD-Trees |
| Computing Nonlinear Eigenfunctions | via | Gradient Flow Extinction |
| Computing object-based saliency | via | locality-constrained linear coding and conditional random fields |
| Computing surfaces | via | pq-permutations |
| Computing Visual Correspondence with Occlusions | via | Graph Cuts |
| Conceptual Compression | via | Deep Structure and Texture Synthesis |
| Concurrent Single-Label Image Classification and Annotation | via | Efficient Multi-Layer Group Sparse Coding |
| Conditional density learning | via | regression with application to deformable shape segmentation |
| Conditional feature generation for transductive open-set recognition | via | dual-space consistent sampling |
| Conditional Generation of Audio from Video | via | Foley Analogies |
| Conditional Image Repainting | via | Semantic Bridge and Piecewise Value Function |
| Conducting Audio Files | via | Computer Vision |
| Confidence Estimation | via | Auxiliary Models |
| Confidence-Aware Personalized Federated Learning | via | Variational Expectation Maximization |
| ConfMix: Unsupervised Domain Adaptation for Object Detection | via | Confidence-based Mixing |
| Congested scene classification | via | efficient unsupervised feature learning and density estimation |
| ConGMC: Consistency-Guided Multimodal Clustering | via | Mutual Information Maximin |
| Connected and automated vehicle platoon formation control | via | differential games |
| Connecting Gaze, Scene, and Attention: Generalized Attention Estimation | via | Joint Modeling of Gaze and Scene Saliency |
| Connecting Geometry and Semantics | via | Artificial Intelligence: From 3D Classification of Heritage Data to H-BIM Representations |
| Connecting Image Denoising and High-Level Vision Tasks | via | Deep Learning |
| Connecting Touch and Vision | via | Cross-Modal Prediction |
| Connectome smoothing | via | low-rank approximations |
| Consensus Sparsity: Multi-Context Sparse Image Representation | via | L8-Induced Matrix Variate |
| Consensus-Based Image Segmentation | via | Topological Persistence |
| Considerations for Efficient Picture Output | via | Lineprinter |
| Consistency Learning | via | Decoding Path Augmentation for Transformers in Human Object Interaction Detection |
| Consistent 3D Hand Reconstruction in Video | via | Self-Supervised Learning |
| Consistent Coding Scheme for Single-Image Super-Resolution | via | Independent Dictionaries |
| Consistent multi-layer subtask tracker | via | hyper-graph regularization |
| Consistent Multimodal Generation | via | A Unified GAN Framework |
| Consistent Video Style Transfer | via | Relaxation and Regularization |
| Consolidating Separate Degradations Model | via | Weights Fusion and Distillation |
| Constrained clustering | via | spectral regularization |
| Constrained Policy Optimization Algorithm for Autonomous Driving | via | Reinforcement Learning |
| Constrained Signal Restoration | via | Iterated Extended Kalman Filtering |
| Constrained Spectral Clustering | via | Exhaustive and Efficient Constraint Propagation |
| Constraining active contour evolution | via | Lie Groups of transformation |
| Constructing Fiber Atlases for Functional ROIs | via | fMRI-Guided DTI Image Registration |
| Constructing Immunized Stego-Image for Secure Steganography | via | Artificial Immune System |
| Construction of Binary Matrices as a Union of Orthogonal Blocks | via | Generalized Euler Squares |
| Construction of Regional Intelligent Transportation System in Smart City Road Network | via | 5G Network |
| Contact-free measurement of heartbeat signal | via | a doppler radar using adaptive filtering |
| ContactDB: Analyzing and Predicting Grasp Contact | via | Thermal Imaging |
| Contactless Blood Pressure Measurement | via | Remote Photoplethysmography with Synthetic Data Generation Using Generative Adversarial Network |
| Content authentication of halftone video | via | flickering as sparse signal |
| Content based active video data acquisition | via | automated cameramen |
| Content-Adaptive Steganalysis | via | Augmented Utilization of Selection-Channel Information |
| Content-Adaptive Superpixel Segmentation | via | Image Transformation |
| Content-aware Cubemap Projection for Panoramic Image | via | Deep Q-learning |
| Content-Based High-Resolution Remote Sensing Image Retrieval | via | Unsupervised Feature Learning and Collaborative Affinity Metric Fusion |
| Content-based image retrieval system | via | sparse representation |
| Content-based image retrieval | via | distributed databases |
| Content-Based Image Retrieval | via | Subspace-Projected Salient Features |
| Content-Based Image Retrieval | via | Vector Quantization |
| Content-Based Visual Landmark Search | via | Multimodal Hypergraph Learning |
| Content-sensitive superpixel segmentation | via | self-organization-map neural network |
| Content-Sensitive Supervoxels | via | Uniform Tessellations on Video Manifolds |
| Context for Object Detection | via | Lightweight Global and Mid-level Representations |
| Context multi-task visual object tracking | via | guided filter |
| Context-Aware and Energy-Driven Route Optimization for Fully Electric Vehicles | via | Crowdsourcing |
| Context-Aware Group Captioning | via | Self-Attention and Contrastive Features |
| Context-aware horror video scene recognition | via | cost-sensitive sparse coding |
| Context-Aware Human Trajectories Prediction | via | Latent Variational Model |
| Context-Aware Person Re-Identification in the Wild | via | Fusion of Gait and Anthropometric Features |
| Context-Aware Video Retargeting | via | Graph Model |
| Context-related video anomaly detection | via | generative adversarial network |
| Contextual Bandits With Hidden Features to Online Recommendation | via | Sparse Interactions |
| Contextual modulation | via | low-level vision processing |
| Contextualizing Meta-Learning | via | Learning to Decompose |
| Contextually Customized Video Summaries | via | Natural Language |
| Continual Adaptation of Visual Representations | via | Domain Randomization and Meta-learning |
| Continual Learning Of Predictive Models In Video Sequences | via | Variational Autoencoders |
| Continual Learning on Noisy Data Streams | via | Self-Purified Replay |
| Continual Learning | via | Bit-Level Information Preserving |
| Continual Learning | via | Dynamic Programming |
| Continual Nuclei Segmentation | via | Prototype-Wise Relation Distillation and Contrastive Learning |
| Continual Object Detection | via | Prototypical Task Correlation Guided Gating Mechanism |
| Continual Referring Expression Comprehension | via | Dual Modular Memorization |
| Continual Semantic Segmentation | via | Repulsion-Attraction of Sparse and Disentangled Latent Representations |
| Continual Semantic Segmentation | via | Structure Preserving and Projected Feature Alignment |
| Continual Test-time Domain Adaptation | via | Dynamic Sample Selection |
| Continual Variational Autoencoder Learning | via | Online Cooperative Memorization |
| Continuous 3D Multi-Channel Sign Language Production | via | Progressive Transformers and Mixture Density Networks |
| Continuous and Diverse Image-to-Image Translation | via | Signed Attribute Vectors |
| Continuous Energy Minimization | via | Repeated Binary Fusion |
| Continuous Face Aging | via | Self-estimated Residual Age Embedding |
| Continuous mixture modeling | via | goodness-of-fit ridges |
| Continuous Probability Distribution Prediction of Image Emotions | via | Multitask Shared Sparse Regression |
| Continuous ratio optimization | via | convex relaxation with applications to multiview 3D reconstruction |
| Continuous Sign Language Recognition | via | Reinforcement Learning |
| Continuous Spectral Reconstruction from RGB Images | via | Implicit Neural Representation |
| Continuous-time envelope-constrained filter design | via | DSP approach |
| Contour detection | via | random forest |
| Contour loss for instance segmentation | via | k-step distance transformation image |
| Contour tracking | via | on-line discriminative active contours |
| Contour tracking | via | on-line discriminative appearance modeling based level sets |
| Contour-based corner detection | via | angle difference of principal directions of anisotropic Gaussian directional derivatives |
| Contourlet Based MR Image Reconstruction | via | Reweighted L1-Minimization |
| Contradicted by the Brain: Predicting Individual and Group Preferences | via | Brain-Computer Interfacing |
| ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis | via | Contrastive Learning |
| Contrast enhancement of back-light images | via | a regional rank-1 constraint |
| Contrast Enhancement | via | Dual Graph Total Variation-Based Image Decomposition |
| Contrast enhancement | via | multiscale gradient transformation |
| Contrast-Phys: Unsupervised Video-Based Remote Physiological Measurement | via | Spatiotemporal Contrast |
| Contrastive 3D Human Skeleton Action Representation Learning | via | CrossMoCo With Spatiotemporal Occlusion Mask Data Augmentation |
| Contrastive Learning for Space-time Correspondence | via | Self-cycle Consistency |
| Contrastive Semi-Supervised Learning for Underwater Image Restoration | via | Reliable Bank |
| Contrastive Video Question Answering | via | Video Graph Transformer |
| Control of Connected Vehicles in Road Network | via | Traffic Flow Information Feedback |
| Control of continuous-time T-S fuzzy affine dynamic systems | via | piecewise Lyapunov functions |
| Controllable 3D Generative Adversarial Face Model | via | Disentangling Shape and Appearance |
| Controllable Artistic Text Style Transfer | via | Shape-Matching GAN |
| Controllable Image Processing | via | Adaptive FilterBank Pyramid |
| Controllable Image Synthesis | via | SegVAE |
| Controllable Inversion of Black-Box Face Recognition Models | via | Diffusion |
| Controllable Style Transfer | via | Test-time Training of Implicit Neural Representation |
| Controlled GAN-Based Creature Synthesis | via | a Challenging Game Art Dataset: Addressing the Noise-Latent Trade-Off |
| Controlling a Computer | via | Facial Aspect |
| Controlling a Robotic Fish | via | a Natural User Interface for Informal Science Education |
| Controlling explanatory heatmap resolution and semantics | via | decomposition depth |
| Controlling Neural Networks | via | Energy Dissipation |
| Controlling Object Hand-Over in Human-Robot Collaboration | via | Natural Wearable Sensing |
| Convex Formulation for Hyperspectral Image Superresolution | via | Subspace-Based Regularization, A |
| Convex Image Denoising | via | Non-Convex Regularization |
| Convex Image Denoising | via | Non-convex Regularization with Parameter Selection |
| Convex Joint Graph Matching and Clustering | via | Semidefinite Relaxations |
| convex minimization model in image restoration | via | one-dimensional Sobolev norm profiles, A |
| Convex MR brain image reconstruction | via | non-convex total variation minimization |
| Convex Set Symmetry Measurement | via | Minkowski Addition |
| Convex set theoretic image recovery | via | chaotic iterations of approximate projections |
| Convex Solution to Disparity Estimation from Light Fields | via | the Primal-Dual Method, A |
| Convolutional Dictionary Learning | via | Local Processing |
| Convolutional feature pyramid fusion | via | attention network |
| Convolutional Feature Transfer | via | Camera-Specific Discriminative Pooling for Person Re-Identification |
| Convolutional Neural Network-Based Chinese Text Detection Algorithm | via | Text Structure Modeling, A |
| Convolutional Photomosaic Generation | via | Multi-scale Perceptual Losses |
| Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness | via | Adaptive Budgets |
| Cooperative behavior acquisition for mobile robots in dynamically changing real worlds | via | vision-based reinforcement learning and development |
| Cooperative Electromagnetic Data Annotation | via | Low-Rank Matrix Completion |
| Cooperative Evaluation of the Cause of Urban Traffic Congestion | via | Connected Vehicles |
| Cooperative Positioning Algorithm | via | Manifold Gradient for Distributed Systems, A |
| Coordinated Attitude Control of Spacecraft Formation Flying | via | Fixed-Time Estimators under a Directed Graph |
| Coordination of Cluster Ensembles | via | Exact Methods |
| CORE: A knowledge graph entity type prediction method | via | complex space regression and embedding |
| CoReS: Compatible Representations | via | Stationarity |
| Corner Detection in Spherical Images | via | the Accelerated Segment Test on a Geodesic Grid |
| Corner Detection | via | Scale-Space Behavior-Guided Trajectory Tracing |
| Corner Detection | via | Topographic Analysis of Vector Potential |
| CoroNetGAN: Controlled Pruning of GANs | via | Hypernetworks |
| Correction of ZY-3 image distortion caused by satellite jitter | via | virtual steady reimaging using attitude data |
| Correlation filter tracking | via | bootstrap learning |
| Correlation Filter Tracking | via | Distractor-Aware Learning and Multi-Anchor Detection |
| Correlation filter | via | random-projection based CNNs features combination for visual tracking |
| Correlation filter-based visual tracking | via | adaptive weighted CNN features fusion |
| Correlation identification in multimodal weibo | via | back propagation neural network with genetic algorithm |
| Correlation Tracking | via | Joint Discrimination and Reliability Learning |
| Correlation Tracking | via | Mask and Multi-peaks Re-prediction |
| Correlation-Based Watermarking Technique of 3-D Meshes | via | Cyclic Signal Processing, A |
| Correntropy Maximization | via | ADMM: Application to Robust Hyperspectral Unmixing |
| Correntropy-Induced Wasserstein GCN: Learning Graph Embedding | via | Domain Adaptation |
| Correspondence and segmentation of multiple rigid motions | via | epipolar geometry |
| Correspondence-Free Region Localization for Partial Shape Similarity | via | Hamiltonian Spectrum Alignment |
| Corresponding keypoint constrained sparse representation three-dimensional ear recognition | via | one sample per person |
| CorrI2P: Deep Image-to-Point Cloud Registration | via | Dense Correspondence |
| Corrupted and occluded face recognition | via | cooperative sparse representation |
| cost construction | via | MSW and linear regression for stereo matching, A |
| Cost-Efficient Multi-Instance Multi-Label Active Learning | via | Correlation of Features |
| Counterfactual Vision-and-Language Navigation | via | Adversarial Path Sampler |
| Counting of grapevine berries in images | via | semantic segmentation using convolutional neural networks |
| Counting People in Crowded Scenes | via | Detection and Regression Fusion |
| Coupled-layer based visual tracking | via | adaptive kernelized correlation filters |
| Covariance estimation for minimal geometry solvers | via | scaled unscented transformation |
| Covered Style Mining | via | Generative Adversarial Networks for Face Anti-spoofing |
| COVID-19 Infection Percentage Prediction | via | Boosted Hierarchical Vision Transformer |
| CoVR+: Design of Visual Effects for Promoting Joint Attention During Shared VR Experiences | via | a Projection of HMD User's View |
| CPDINet: Blind image quality assessment | via | a content perception and distortion inference network |
| CPSeg: Finer-grained Image Semantic Segmentation | via | Chain-of-Thought Language Prompting |
| Crack Detection and Refinement | via | Deep Reinforcement Learning |
| Crafting Adversarial Perturbations | via | Transformed Image Component Swapping |
| Cramer-Rao Lower Bound Optimization for Hidden Moving Target Sensing | via | Multi-IRS-Aided Radar |
| Craniomaxillofacial Deformity Correction | via | Sparse Representation in Coherent Space |
| Craters Detection | via | Possibilistic Shell Clustering |
| CREAM: Weakly Supervised Object Localization | via | Class RE-Activation Mapping |
| Crease Detection on Noisy Meshes | via | Probabilistic Scale Selection |
| Creating building ground plans | via | robust K-way union: A step toward large-scale simulation in urban environment |
| Crime Detection | via | Crowdsourcing |
| Cross-category Video Highlight Detection | via | Set-based Learning |
| Cross-cumulative residual entropy-based medical image registration | via | hybrid differential search algorithm |
| Cross-Database Transfer Learning | via | Learnable and Discriminant Error-Correcting Output Codes |
| Cross-Dataset Person Re-Identification | via | Unsupervised Pose Disentanglement and Adaptation |
| Cross-Dataset Transfer Driver Expression Recognition | via | Global Discriminative and Local Structure Knowledge Exploitation in Shared Projection Subspace |
| Cross-domain action recognition | via | collective matrix factorization with graph Laplacian regularization |
| cross-domain collaborative filtering algorithm with expanding user and item features | via | the latent factor space of auxiliary domains, A |
| Cross-Domain Collaborative Learning | via | Discriminative Nonparametric Bayesian Model |
| Cross-Domain Cross-Set Few-Shot Learning | via | Learning Compact and Aligned Representations |
| Cross-Domain Detection | via | Graph-Induced Prototype Alignment |
| Cross-Domain Face Presentation Attack Detection | via | Multi-Domain Disentangled Representation Learning |
| Cross-Domain Facial Expression Recognition | via | Contrastive Warm up and Complexity-Aware Self-Training |
| Cross-domain fashion cloth retrieval | via | novel attention-guided cascade neural network and clothing parsing |
| Cross-Domain Few-Shot classification | via | class-shared and class-specific dictionaries |
| Cross-Domain Few-Shot Classification | via | Dense-Sparse-Dense Regularization |
| Cross-Domain Few-Shot Classification | via | Inter-Source Stylization |
| Cross-Domain Image Captioning | via | Cross-Modal Retrieval and Model Adaptation |
| Cross-Domain Object Recognition | via | Input-Output Kernel Analysis |
| Cross-Domain Palmprint Recognition | via | Regularized Adversarial Domain Adaptive Hashing |
| Cross-domain point cloud completion for multi-class indoor incomplete objects | via | class-conditional GAN inversion |
| Cross-Domain Recommendation | via | User-Clustering and Multidimensional Information Fusion |
| Cross-domain Semantic Feature Learning | via | Adversarial Adaptation Networks |
| Cross-Domain Semantic Segmentation of Urban Scenes | via | Multi-Level Feature Alignment |
| Cross-Domain Semantic Segmentation | via | Domain-Invariant Interactive Relation Transfer |
| Cross-Domain Visual Matching | via | Generalized Similarity Measure and Feature Learning |
| Cross-Field Joint Image Restoration | via | Scale Map |
| Cross-layer optimization of a multimedia streaming system | via | dynamic programming |
| Cross-Lingual Text Image Recognition | via | Multi-Hierarchy Cross-Modal Mimic |
| Cross-Lingual Text Image Recognition | via | Multi-Task Sequence to Sequence Learning |
| Cross-Matching | via | Feature Matching for Camera Handover with Non-overlapping Fields of View |
| Cross-Media Retrieval | via | Semantic Entity Projection |
| Cross-modal fusion encoder | via | graph neural network for referring image segmentation |
| Cross-Modal Hashing | via | Rank-Order Preserving |
| Cross-Modal Learning to Rank | via | Latent Joint Representation |
| Cross-Modal Retrieval | via | Deep and Bidirectional Representation Learning |
| Cross-modal retrieval | via | label category supervised matrix factorization hashing |
| Cross-Modal Retrieval With Noisy Correspondence | via | Consistency Refining and Mining |
| Cross-Modal Subspace Learning | via | Pairwise Constraints |
| Cross-Modality Binary Code Learning | via | Fusion Similarity Hashing |
| Cross-Modality Face Recognition | via | Heterogeneous Joint Bayesian |
| Cross-Modality Image Synthesis | via | Weakly Coupled and Geometry Co-Regularized Joint Dictionary Learning |
| Cross-Modality Microblog Sentiment Prediction | via | Bi-Layer Multimodal Hypergraph Learning |
| Cross-Modality Person Re-Identification | via | Modality Confusion and Center Aggregation |
| Cross-Modality Person Re-Identification | via | Modality-Aware Collaborative Ensemble Learning |
| Cross-modality person re-identification | via | multi-task learning |
| Cross-model temporal cooperation | via | saliency maps for efficient frame classification |
| Cross-regional oil palm tree counting and detection | via | a multi-level attention domain adaptation network |
| Cross-Resolution Person Re-Identification | via | Deep Group-Aware Representation Learning |
| Cross-scene crowd counting | via | deep convolutional neural networks |
| Cross-Sensor Remote Sensing Imagery Super-Resolution | via | an Edge-Guided Attention-Based Network |
| Cross-Site Severity Assessment of COVID-19 From CT Images | via | Domain Adaptation |
| Cross-Spectral Face Hallucination | via | Disentangling Independent Factors |
| Cross-View Action Recognition | via | a Continuous Virtual Path |
| Cross-View Action Recognition | via | a Transferable Dictionary Pair |
| Cross-view Action Recognition | via | Dual-Codebook and Hierarchical Transfer Framework |
| Cross-view action recognition | via | low-rank based domain adaptation |
| Cross-view action recognition | via | transductive transfer learning |
| Cross-View Action Recognition | via | Transferable Dictionary Learning |
| Cross-view action recognition | via | view knowledge transfer |
| Cross-view face recognition | via | structured dictionary based domain shift |
| Cross-view hashing | via | supervised deep discrete matrix factorization |
| Cross-View Retrieval | via | Probability-Based Semantics-Preserving Hashing |
| Cross-Weather Image Alignment | via | Latent Generative Model With Intensity Consistency |
| Crosslink-Net: Double-Branch Encoder Network | via | Fusing Vertical and Horizontal Convolutions for Medical Image Segmentation |
| CrossMatch: Source-Free Domain Adaptive Semantic Segmentation | via | Cross-Modal Consistency Training |
| Crosswalk and traffic light detection | via | integral framework |
| Crowd Activity Change Point Detection in Videos | via | Graph Stream Mining |
| Crowd activity recognition in live video streaming | via | 3D-ResNet and region graph convolution network |
| Crowd Anomaly Detection | via | Spatial Constraints and Meaningful Perturbation |
| Crowd Behavior Analysis | via | Curl and Divergence of Motion Trajectories |
| Crowd Counting | via | Adversarial Cross-Scale Consistency Pursuit |
| Crowd Counting | via | Cross-Stage Refinement Networks |
| Crowd Counting | via | Perspective-Guided Fractional-Dilation Convolution |
| Crowd Counting | via | Scale-Adaptive Convolutional Neural Network |
| Crowd Counting | via | Segmentation Guided Attention Networks and Curriculum Loss |
| Crowd Counting | via | Unsupervised Cross-Domain Feature Adaptation |
| Crowd Counting | via | Weighted VLAD on a Dense Attribute Feature Map |
| Crowd Saliency Detection | via | Global Similarity Structure |
| CrowdCLIP: Unsupervised Crowd Counting | via | Vision-Language Model |
| Crowded Human Detection | via | an Anchor-pair Network |
| CrowdMLP: Weakly-supervised crowd counting | via | multi-granularity MLP |
| Crowdsourcing Affective Annotations | via | fNIRS-BCI |
| CT Male Pelvic Organ Segmentation | via | Hybrid Loss Network With Incomplete Annotation |
| CT-Net: Arbitrary-Shaped Text Detection | via | Contour Transformer |
| CT2: Colorization Transformer | via | Color Tokens |
| CTHD-Net: CNN-Transformer hybrid dehazing network | via | residual global attention and gated boosting strategy |
| CTP: Towards Vision-Language Continual Pretraining | via | Compatible Momentum Contrast and Topology Preservation |
| CTTE: Customized Travel Time Estimation | via | Mobile Crowdsensing |
| Curiosity-Driven Class-Incremental Learning | via | Adaptive Sample Selection |
| Curious Robot: Learning Visual Representations | via | Physical Interactions, The |
| Curve Reconstruction | via | the Global Statistics of Natural Curves |
| Curved scene text detection | via | transverse and longitudinal sequence connection |
| Customized Image Narrative Generation | via | Interactive Visual Question Generation and Answering |
| Customized TRS invariants for 2D vector fields | via | moment normalization |
| Customizing biometric authentication systems | via | discriminative score calibration |
| Customizing Student Networks From Heterogeneous Teachers | via | Adaptive Knowledge Amalgamation |
| CutMIB: Boosting Light Field Super-Resolution | via | Multi-View Image Blending |
| Cv4code: Sourcecode Understanding | via | Visual Code Representations |
| CVAD-GAN: Constrained video anomaly detection | via | generative adversarial network |
| Cycle GAN-Based Data Augmentation For Multi-Organ Detection In CT Images | via | Yolo |
| Cycle-Retinex: Unpaired Low-Light Image Enhancement | via | Retinex-Inline CycleGAN |
| Cycle-SNSPGAN: Towards Real-World Image Dehazing | via | Cycle Spectral Normalized Soft Likelihood Estimation Patch GAN |
| CycleGAN-STF: Spatiotemporal Fusion | via | CycleGAN-Based Image Generation |
| CycleISP: Real Image Restoration | via | Improved Data Synthesis |
| D-IF: Uncertainty-aware Human Digitization | via | Implicit Distribution Field |
| D-NND: A Hierarchical Density Clustering Method | via | Nearest Neighbor Descent |
| D2-Net: Weakly-Supervised Action Localization | via | Discriminative Embeddings and Denoised Activations |
| D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection | via | Progressive Domain Adaptation |
| D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors | via | Agent-Based Transformers |
| D3GU: Multi-target Active Domain Adaptation | via | Enhancing Domain Alignment |
| DAA: A Delta Age AdaIN operation for age estimation | via | binary code transformer |
| DACNN: Blind Image Quality Assessment | via | a Distortion-Aware Convolutional Neural Network |
| DACS: Domain Adaptation | via | Cross-domain Mixed Sampling |
| Daedalus: Breaking Nonmaximum Suppression in Object Detection | via | Adversarial Examples |
| DAGNet: Depth-aware Glass-like objects segmentation | via | cross-modal attention |
| Daily Living Activities Recognition | via | Efficient High and Low Level Cues Combination and Fisher Kernel Representation |
| Daily Retrieval of NDVI and LAI at 3 m Resolution | via | the Fusion of CubeSat, Landsat, and MODIS Data |
| Damage detection from aerial images | via | convolutional neural networks |
| DANBO: Disentangled Articulated Neural Body Representations | via | Graph Neural Networks |
| DAPC: Domain Adaptation People Counting | via | Style-level Transfer Learning and Scene-aware Estimation |
| Data Augmentation for Object Detection | via | Controllable Diffusion Models |
| Data Augmentation | via | Face Morphing for Recognizing Intensities of Facial Emotions |
| Data Augmentation | via | Image Registration |
| Data Augmentation | via | Latent Space Interpolation for Image Classification |
| Data Augmentation | via | Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery |
| Data compression for measured heterogeneous subsurface scattering | via | scattering profile blending |
| Data Driven Tight Frame for Compressed Sensing MRI Reconstruction | via | Off-the-Grid Regularization |
| Data driven visual tracking | via | representation learning and online multi-class LPBoost learning |
| Data Efficient 3D Learner | via | Knowledge Transferred from 2D Model |
| Data Efficient Single Image Dehazing | via | Adversarial Auto-Augmentation and extended Atmospheric Scattering Model |
| Data Protection in Palmprint Recognition | via | Dynamic Random Invisible Watermark Embedding |
| Data Ranking and Clustering | via | Normalized Graph Cut Based on Asymmetric Affinity |
| Data-Centric Debugging: Mitigating Model Failures | via | Targeted Image Retrieval |
| Data-Centric Solution to NonHomogeneous Dehazing | via | Vision Transformer, A |
| Data-driven depth map refinement | via | multi-scale sparse representation |
| Data-driven facial animation | via | semi-supervised local patch alignment |
| Data-driven image captioning | via | salient region discovery |
| Data-Driven MRSI Spectral Localization | via | Low-Rank Component Analysis |
| Data-Efficient Learning | via | Minimizing Hyperspherical Energy |
| Data-Free Knowledge Amalgamation | via | Group-Stack Dual-GAN |
| Data-Free Knowledge Distillation | via | Feature Exchange and Activation Region Constraint |
| Data-Free Model Pruning at Initialization | via | Expanders |
| Data-Free Network Compression | via | Parametric Non-uniform Mixed Precision Quantization |
| Data-Free Neural Architecture Search | via | Recursive Label Calibration |
| Data-Free Quantization | via | Mixed-Precision Compensation without Fine-Tuning |
| DATFuse: Infrared and Visible Image Fusion | via | Dual Attention Transformer |
| DCMSTRD: End-to-end Dense Captioning | via | Multi-Scale Transformer Decoding |
| DCT-Domain Image Retrieval | via | Block-Edge-Patterns |
| DDColor: Towards Photo-Realistic Image Colorization | via | Dual Decoders |
| DDIT: Semantic Scene Completion | via | Deformable Deep Implicit Templates |
| DDPNAS: Efficient Neural Architecture Search | via | Dynamic Distribution Pruning |
| De-Hankelization of singular spectrum analysis matrices | via | L1 norm criterion |
| Dealing with Ambiguity in Robotic Grasping | via | Multiple Predictions |
| Debiased Video-Text Retrieval | via | Soft Positive Sample Calibration |
| Debiased Visual Question Answering | via | the perspective of question types |
| Debiasing, calibrating, and improving Semi-supervised Learning performance | via | simple Ensemble Projector |
| Deblurring Dynamic Scenes | via | Spatially Varying Recurrent Neural Networks |
| Deblurring Images | via | Dark Channel Prior |
| Deblurring of One Dimensional Bar Codes | via | Total Variation Energy Minimization |
| Deblurring retinal optical coherence tomography | via | a convolutional neural network with anisotropic and double convolution layer |
| Deblurring Text Images | via | L0-Regularized Intensity and Gradient Prior |
| Deblurring | via | Stochastic Refinement |
| Decentralized Coordinated Downlink Beamforming | via | Primal Decomposition |
| Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles | via | Dual Consensus ADMM |
| Decentralized stabilization of Marko | via | n jump large-scale systems via neighboring mode dependent output feedback control |
| Deciphering Complex Morphology and Structural Connectivity of High-Magnitude Deep-Seated Landslides | via | Airborne Laser Scanning: A Case Study in the Vrancea Seismic Region, Romanian Carpathians |
| Decision-Based Attack to Speaker Recognition System | via | Local Low-Frequency Perturbation |
| DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding | via | Coarse-to-Fine Contrastive Ranking |
| Decompose to Adapt: Cross-Domain Object Detection | via | Feature Disentanglement |
| Decompressed video enhancement | via | accurate regression prior |
| DecomVQANet: Decomposing visual question answering deep network | via | tensor decomposition and regression |
| Decoupling Spatial Pattern and its Movement | via | Complex Factorization Over Orthogonal Filter Pairs |
| Deep 3D morphable model refinement | via | progressive growing of conditional Generative Adversarial Networks |
| Deep Active Learning for Biased Datasets | via | Fisher Kernel Self-Supervision |
| Deep Active Learning for Human Pose Estimation | via | Consistency Weighted Core-Set Approach |
| Deep ancient Roman Republican coin classification | via | feature fusion and attention |
| Deep Anomaly Discovery from Unlabeled Videos | via | Normality Advantage and Self-Paced Refinement |
| Deep Arbitrary-Scale Image Super-Resolution | via | Scale-Equivariance Pursuit |
| Deep Asymmetric Metric Learning | via | Rich Relationship Mining |
| Deep Cascade-Learning Model | via | Recurrent Attention for Immunofixation Electrophoresis Image Analysis |
| Deep CG2Real: Synthetic-to-Real Translation | via | Image Disentanglement |
| Deep Clustering | via | Automatic Feature Embedded Learning for Human Activity Recognition, A |
| Deep Clustering | via | Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization |
| Deep Clustering | via | Weighted k-Subspace Network |
| Deep Co-Saliency Detection | via | Stacked Autoencoder-Enabled Fusion and Self-Trained CNNs |
| Deep Compact Person Re-Identification with Distractor Synthesis | via | Guided DC-GANs |
| Deep Component Analysis | via | Alternating Direction Neural Networks |
| Deep Constraints Space | via | Channel Alignment for Visible-Infrared Person Re-identification |
| Deep Convolutional Framelet Denosing for Low-Dose CT | via | Wavelet Residual Network |
| Deep Cropping | via | Attention Box Prediction and Aesthetics Assessment |
| Deep Cross-Modality Adaptation | via | Semantics Preserving Adversarial Learning for Sketch-Based 3D Shape Retrieval |
| Deep Cross-species Feature Learning for Animal Face Recognition | via | Residual Interspecies Equivariant Network |
| Deep Domain Generalization | via | Conditional Invariant Adversarial Networks |
| Deep EEG Superresolution | via | Correlating Brain Structural and Functional Connectivities |
| Deep eigen-filters for face recognition: Feature representation | via | unsupervised multi-structure filter learning |
| Deep Ensemble Model for Spam Classification in Twitter | via | Sentiment Extraction: Bio-Inspiration-Based Classification Model |
| Deep Face Swapping | via | Cross-identity Adversarial Training |
| Deep Face Video Inpainting | via | UV Mapping |
| Deep Fair Clustering | via | Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric |
| Deep Feature Fusion | via | Two-Stream Convolutional Neural Network for Hyperspectral Image Classification |
| Deep feature learning | via | structured graph Laplacian embedding for person re-identification |
| Deep Fisher Score Representation | via | Sparse Coding |
| Deep forgery discriminator | via | image degradation analysis |
| Deep Graph Matching | via | Blackbox Differentiation of Combinatorial Solvers |
| Deep Ground Filtering of Large-Scale ALS Point Clouds | via | Iterative Sequential Ground Prediction |
| Deep Hashing | via | Discrepancy Minimization |
| Deep HDR Imaging | via | A Non-Local Network |
| Deep Hierarchical Representation of Point Cloud Videos | via | Spatio-Temporal Decomposition |
| Deep image inpainting | via | contextual modelling in ADCT domain |
| Deep imitator: Handwriting calligraphy imitation | via | deep attention networks |
| Deep In-Loop Filtering | via | Multi-Domain Correlation Learning and Partition Constraint for Multiview Video Coding |
| Deep Inspection: An Electrical Distribution Pole Parts Study | via | Deep Neural Networks |
| Deep Inter Prediction | via | Pixel-Wise Motion Oriented Reference Generation |
| Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images | via | Max-Min Uncertainty |
| Deep Inverse Halftoning | via | Progressively Residual Learning |
| Deep Kinship Verification | via | Appearance-Shape Joint Prediction and Adaptation-Based Approach |
| Deep Learning Framework for Diffeomorphic Mapping Problems | via | Quasi-conformal Geometry Applied to Imaging, A |
| Deep Learning Localization Method for Acoustic Source | via | Improved Input Features and Network Structure, A |
| Deep Learning of Partial Graph Matching | via | Differentiable Top-K |
| Deep Learning Seismic Random Noise Attenuation | via | Improved Residual Convolutional Neural Network |
| Deep Learning-Based Classification of Malignant and Benign Cells in Dermatoscopic Images | via | Transfer Learning Approach |
| Deep Learning-Based Hyperspectral Object Classification Approach | via | Imbalanced Training Samples Handling, A |
| Deep Learning-Based Melanoma Detection with Optimized Features | via | Hybrid Algorithm |
| Deep Learning-Driven Depth from Defocus | via | Active Multispectral Quasi-Random Projections with Complex Subpatterns |
| Deep Mesh Reconstruction From Single RGB Images | via | Topology Modification Networks |
| Deep Metric Learning | via | Adaptive Learnable Assessment |
| Deep Metric Learning | via | Facility Location |
| Deep Metric Learning | via | Lifted Structured Feature Embedding |
| Deep metric learning | via | subtype fuzzy clustering |
| Deep Metric Network | via | Heterogeneous Semantics for Image Sentiment Analysis |
| Deep Model Intellectual Property Protection | via | Deep Watermarking |
| Deep Monocular Depth Estimation | via | Integration of Global and Local Predictions |
| Deep multi-view spectral clustering | via | ensemble |
| Deep network based stereoscopic image quality assessment | via | binocular summing and differencing |
| Deep networks for saliency detection | via | local estimation and global search |
| Deep Object Co-Segmentation and Co-Saliency Detection | via | High-Order Spatial-Semantic Network Modulation |
| Deep Pansharpening | via | 3D Spectral Super-Resolution Network and Discrepancy-Based Gradient Transfer |
| Deep Partial Occlusion Facial Expression Recognition | via | Improved CNN |
| Deep partial person re-identification | via | attention model |
| Deep Point Set Resampling | via | Gradient Fields |
| Deep Ranking for Person Re-Identification | via | Joint Representation Learning |
| Deep semantic image compression | via | cooperative network pruning |
| Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition | via | Hybrid CNN-HMMs |
| Deep Single Image Deraining | via | Modeling Haze-Like Effect |
| Deep spectral unmixing framework | via | 3D denoising convolutional autoencoder |
| Deep Stereo Image Compression | via | Bi-directional Coding |
| Deep Stereoscopic Image Super-Resolution | via | Interaction Module |
| Deep Texture Recognition | via | Exploiting Cross-Layer Statistical Self-Similarity |
| Deep Unlearning | via | Randomized Conditionally Independent Hessians |
| Deep Unsupervised Active Learning | via | Matrix Sketching |
| Deep Unsupervised Learning of 3D Point Clouds | via | Graph Topology Inference and Filtering |
| Deep Video Demoireing | via | Compact Invertible Dyadic Decomposition |
| Deep Video Matting | via | Spatio-Temporal Alignment and Aggregation |
| Deep Video Stabilization | via | Robust Homography Estimation |
| Deep View Synthesis | via | Self-Consistent Generative Network |
| Deep Volumetric Descriptor Learning for Dense Correspondence of Cone-Beam Computed Tomography | via | Spectral Maps |
| DeepACG: Co-Saliency Detection | via | Semantic-aware Contrast Gromov-Wasserstein Distance |
| DeepDemosaicking: Adaptive Image Demosaicking | via | Multiple Deep Fully Convolutional Networks |
| DeepEmo: Real-world facial expression analysis | via | deep learning |
| Deepfake detection | via | inter-frame inconsistency recomposition and enhancement |
| Deepfake Fingerprint Detection Model Intellectual Property Protection | via | Ridge Texture Enhancement |
| Deepfake Forensics | via | an Adversarial Game |
| Deepfit: 3d Surface Fitting | via | Neural Network Weighted Least Squares |
| DeepGender: Occlusion and Low Resolution Robust Facial Gender Classification | via | Progressively Trained Convolutional Neural Networks with Attention |
| DeepI2P: Image-to-Point Cloud Registration | via | Deep Classification |
| Deeply Explain CNN | via | Hierarchical Decomposition |
| deeply supervised residual network for HEp-2 cell classification | via | cross-modal transfer learning, A |
| Deepmpc: A Mixture ABR Approach | via | Deep Learning and MPC |
| DeepOpht: Medical Report Generation for Retinal Images | via | Deep Models and Visual Explanation |
| DeepPose: Human Pose Estimation | via | Deep Neural Networks |
| DeepPruner: Learning Efficient Stereo Matching | via | Differentiable PatchMatch |
| DeepSFM: Structure from Motion | via | Deep Bundle Adjustment |
| DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization | via | Fully Convolutional Networks for Solar Panels |
| DeFeat-Net: General Monocular Depth | via | Simultaneous Unsupervised Representation Learning |
| Defeating Lattice-Based Data Hiding Code | via | Decoding Security Hole |
| Defect Detection from Multi-frequency Limited Data | via | Topological Sensitivity |
| Defending against attacks tailored to transfer learning | via | feature distancing |
| Defending Fake | via | Warning: Universal Proactive Defense Against Face Manipulation |
| Defense Against Adversarial Attacks | via | Controlling Gradient Leaking on Embedded Manifolds |
| DeFLOCNet: Deep Image Editing | via | Flexible Low-level Controls |
| Defocus Blur Detection | via | Boosting Diversity of Deep Ensemble Networks |
| Defocus Blur Detection | via | Depth Distillation |
| Defocus Blur Detection | via | Multi-stream Bottom-Top-Bottom Fully Convolutional Network |
| Defocus Blur Detection | via | Multi-Stream Bottom-Top-Bottom Network |
| Defocus Blur Synthesis and Deblurring | via | Interpolation and Extrapolation in Latent Space |
| Defocus Deblur Microscopy | via | Head-to-Tail Cross-Scale Fusion |
| Deformable and Occluded Object Tracking | via | Graph Learning |
| Deformable Density Estimation | via | Adaptive Representation |
| Deformable MR Prostate Segmentation | via | Deep Feature Learning and Sparse Patch Matching |
| Deformable Object Matching | via | Deformation Decomposition Based 2D Label MRF |
| Deformable Object Tracking: A Kernel Density Estimation Approach | via | Level Set Function Evolution |
| Deformable Registration of Organic Shapes | via | Surface Intrinsic Integrals: Application to Outer Ear Surfaces |
| Deformable Shape Detection and Description | via | Model-Based Region Grouping |
| Deformed Lattice Discovery | via | Efficient Mean-Shift Belief Propagation |
| DeFusionNET: Defocus Blur Detection | via | Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features |
| DeFusionNET: Defocus Blur Detection | via | Recurrently Fusing and Refining Multi-Scale Deep Features |
| Delicate Textured Mesh Recovery from NeRF | via | Adaptive Surface Refinement |
| DEM Extraction from ALS Point Clouds in Forest Areas | via | Graph Convolution Network |
| Demo: Robust face recognition | via | sparse representation |
| Demultiplexing illumination | via | low cost sensing and nanosecond coding |
| Denoising of Diffusion MRI Data | via | Graph Framelet Matching in x-q Space |
| Denoising of Time-of-Flight depth data | via | iteratively reweighted least squares minimization |
| Denoising | via | Nonlinear Image Decomposition for a Digital Color Camera |
| Dense 2D-3D Indoor Prediction with Sound | via | Aligned Cross-Modal Distillation |
| Dense Correspondence of 3d Facial Point Clouds | via | Neural Network Fitting |
| Dense Deformation Reconstruction | via | Sparse Coding |
| Dense depth acquisition | via | one-shot stripe structured light |
| Dense Depth-Map Estimation and Geometry Inference from Light Fields | via | Global Optimization |
| Dense Discontinuous Optical Flow | via | Contour-Based Segmentation |
| Dense Face Detection | via | High-level Context Mining |
| Dense Image-Matching | via | Optical Flow Field Estimation and Fast-Guided Filter Refinement |
| Dense Motion and Disparity Estimation | via | Loopy Belief Propagation |
| Dense Oil Tank Detection and Classification | via | YOLOX-TR Network in Large-Scale SAR Images |
| Dense optical flow | via | robust data fusion |
| Dense Relational Image Captioning | via | Multi-Task Triple-Stream Networks |
| Dense single-shot 3D scanning | via | stereoscopic fringe analysis |
| Densely-packed Object Detection | via | Hard Negative-Aware Anchor Attention |
| Density-aware and background-aware network for crowd counting | via | multi-task learning |
| Density-Based Flow Mask Integration | via | Deformable Convolution for Video People Flux Estimation |
| Depth completion towards different sensor configurations | via | relative depth map estimation and scale recovery |
| Depth Completion | via | A Dual-Fusion Method |
| Depth Completion | via | Deep Basis Fitting |
| Depth Enhancement | via | Low-Rank Matrix Completion |
| Depth Estimation | via | Affinity Learned with Convolutional Spatial Propagation Network |
| Depth Estimation | via | Sparse Radar Prior and Driving Scene Semantics |
| Depth Estimation | via | Stage Classification |
| Depth from Defocus | via | Active Quasi-random Point Projections: A Deep Learning Approach |
| Depth Interpolation | via | Smooth Surface Segmentation Using Tangent Planes Based on the Superpixels of a Color Image |
| Depth map compression | via | compressed sensing |
| Depth Map Regeneration | via | Improved Graph Cuts Using a Novel Omnidirectional Stereo Sensor |
| Depth map super-resolution | via | extended weighted mode filtering |
| Depth map super-resolution | via | iterative joint-trilateral-upsampling |
| Depth Map Super-Resolution | via | Joint Local Gradient and Nonlocal Structural Regularizations |
| Depth map super-resolution | via | low-resolution depth guided joint trilateral up-sampling |
| Depth map super-resolution | via | multiclass dictionary learning with geometrical directions |
| Depth map up-sampling with texture edge feature | via | sparse representation |
| Depth Map Upsampling | via | Compressive Sensing |
| Depth modelling mode decision for depth intra coding | via | good feature |
| Depth Privileged Scene Recognition | via | Dual Attention Hallucination |
| Depth recovery | via | decomposition of polynomial and piece-wise constant signals |
| Depth Restoration From RGB-D Data | via | Joint Adaptive Regularization and Thresholding on Manifolds |
| Depth Restoration | via | Joint Training of a Global Regression Model and CNNs |
| Depth super-resolution | via | fully edge-augmented guidance |
| Depth Super-Resolution | via | Joint Color-Guided Internal and External Regularizations |
| Depth upsampling method | via | Markov random fields without edge-misaligned artifacts |
| Depth-Aware Salient Object Detection and Segmentation | via | Multiscale Discriminative Saliency Fusion and Bootstrap Learning |
| Depth-based image registration | via | three-dimensional geometric segmentation |
| Depth-guided saliency detection | via | boundary information |
| DESC: Domain Adaptation for Depth Estimation | via | Semantic Consistency |
| Descattering Transmission | via | Angular Filtering |
| Describe Fashion Products | via | Local Sparse Self-Attention Mechanism and Attribute-Based Re-Sampling Strategy |
| Describing Unseen Videos | via | Multi-Modal Cooperative Dialog Agents |
| Design of alignment-free cancelable fingerprint templates | via | curtailed circular convolution |
| Design of Almost Symmetric Orthogonal Wavelet Filter Bank | via | Direct Optimization |
| Design of Incoherent Frames | via | Convex Optimization |
| Design of Nonsubsampled Graph Filter Banks | via | Lifting Schemes |
| Designing CNNs for Multimodal Image Restoration and Fusion | via | Unfolding the Method of Multipliers |
| Designing Interpretable Recurrent Neural Networks for Video Reconstruction | via | Deep Unfolding |
| Designing Low Coherent Measurement Matrix With Controlled Spectral Norm | via | an Efficient Approximation of L_inf-Norm |
| Designing On-Demand Four-Wheel-Drive Vehicles | via | Active Control of the Central Transfer Case |
| Designing Robust Air Transportation Networks | via | Minimizing Total Effective Resistance |
| Designing Translation Invariant Operations | via | Neural Network Training |
| DESIRe: Discontinuous energy seam carving for image retargeting | via | structural and textural energy functionals |
| Detail Preserved Point Cloud Completion | via | Separated Feature Aggregation |
| Detail preserving image denoising with patch-based structure similarity | via | sparse representation and SVD |
| Detail-recovery Image Deraining | via | Context Aggregation Networks |
| Detangling People: Individuating Multiple Close People and Their Body Parts | via | Region Assembly |
| DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training | via | Word-Region Alignment |
| Detect Arbitrary-Shaped Text | via | Adaptive Thresholding and Localization Quality Estimation |
| Detect foreground objects | via | adaptive fusing model in a hybrid feature space |
| Detecting and positioning of traffic incidents | via | video-based analysis of traffic states in a road segment |
| Detecting and tracking people using an RGB-D camera | via | multiple detector fusion |
| Detecting Anomalies in Small Unmanned Aerial Systems | via | Graphical Normalizing Flows |
| Detecting Anomalous Trajectories | via | Recurrent Neural Networks |
| Detecting Disaster-Related Tweets | via | Multimodal Adversarial Neural Network |
| Detecting Doctored JPEG Images | via | DCT Coefficient Analysis |
| Detecting GANs and Retouching based Digital Alterations | via | DAD-HCNN |
| Detecting Human-Object Interaction | via | Fabricated Compositional Learning |
| Detecting keypoint sets on 3D point clouds | via | Histogram of Normal Orientations |
| Detecting Marine Species in Echograms | via | Traditional, Hybrid, and Deep Learning Frameworks |
| Detecting Motion Patterns | via | Direction Maps with Application to Surveillance |
| Detecting moving object from dynamic background video sequences | via | simulating heat conduction |
| Detecting moving objects | via | the low-rank representation |
| Detecting natural scenes text | via | auto image partition, two-stage grouping and two-layer classification |
| Detecting new classes | via | infinite warped mixture models for hyperspectral image analysis |
| Detecting occlusion boundaries | via | saliency network |
| Detecting Overfitting of Deep Generative Networks | via | Latent Recovery |
| Detecting partially occluded objects | via | segmentation and validation |
| Detecting phone-related pedestrian distracted behaviours | via | a two-branch convolutional neural network |
| Detecting Recent Dynamics in Large-Scale Landslides | via | the Digital Image Correlation of Airborne Optic and LiDAR Datasets: Test Sites in South Tyrol (Italy) |
| Detecting Salient Objects | via | Color and Texture Compactness Hypotheses |
| Detecting Smiles of Young Children | via | Deep Transfer Learning |
| Detecting spatiotemporal irregularities in videos | via | a 3D convolutional autoencoder |
| Detecting State of Charge False Reporting Attacks | via | Reinforcement Learning Approach |
| Detecting Stellate Lesions in Mammograms | via | Statistical Models |
| Detecting subpixel targets in Hyperspectral images | via | knowledgeaided adaptive filtering |
| Detecting the Source Location of Recent Summit Inflation | via | Three-Dimensional InSAR Observation of Kilauea Volcano |
| Detecting the Unexpected | via | Image Resynthesis |
| Detecting tracking errors | via | forecasting |
| Detection and correction of disparity estimation errors | via | supervised learning |
| Detection and Extraction of Target With Micromotion in Spiky Sea Clutter | via | Short-Time Fractional Fourier Transform |
| Detection ellipses by finding lines of symmetry in the images | via | an hough transform applied to straight lines |
| Detection for Rail Surface Defects | via | Partitioned Edge Feature |
| Detection Hub: Unifying Object Detection Datasets | via | Query Adaptation on Language Embedding |
| Detection of a Rare Multichannel Gaussian Signal | via | Higher Criticism |
| Detection of alcohol intoxication | via | online handwritten signature verification |
| Detection of Changes in Buildings in Remote Sensing Images | via | Self-Supervised Contrastive Pre-Training and Historical Geographic Information System Vector Maps |
| Detection of Curved Road Edges in Radar Images | via | Deformable Templates |
| Detection of Double JPEG Compression With the Same Quantization Matrix | via | Convergence Analysis |
| Detection of Elliptical Shapes | via | Cross-Entropy Clustering |
| Detection of Fake Images | via | The Ensemble of Deep Representations from Multi Color Spaces |
| Detection of False Data Injection Attack in Connected and Automated Vehicles | via | Cloud-Based Sandboxing |
| Detection of foreground in dynamic scene | via | two-step background subtraction |
| Detection of gastric cancer risk from X-ray images | via | patch-based convolutional neural network |
| Detection Of Harbours From High Resolution Remote Sensing Imagery | via | Saliency Analysis And Feature Learning |
| Detection of Independently Moving Objects in Non-planar Scenes | via | Multi-Frame Monocular Epipolar Constraint |
| Detection Of Intensity And Motion Edges Within Optical Flow | via | Multidimensional Control |
| Detection of People With Camouflage Pattern | via | Dense Deconvolution Network |
| Detection of reactions to sound | via | gaze and global eye motion analysis using camera streaming |
| Detection of Sparse Signals in Sensor Networks | via | Locally Most Powerful Tests |
| Detection of Unexploded Ordnance | via | Efficient Semisupervised and Active Learning |
| Detection Over Viewpoint | via | the Object Class Invariant |
| Determination of Electric Conductivity and Local SAR | via | B1 Mapping |
| Determination of fractional pixel location | via | an optimal group delay estimation approach |
| Determination of Plant Nitrogen Content in Wheat Plants | via | Spectral Reflectance Measurements: Impact of Leaf Number and Leaf Position |
| Determination of the method of drawing of prehistoric wall-paintings | via | original methods of pattern recognition and image analysis |
| Determination of the optimal number of features for quadratic discriminant analysis | via | the normal approximation to the discriminant distribution |
| Determining Interacting Objects in Human-Centric Activities | via | Qualitative Spatio-Temporal Reasoning |
| Determining number of clusters and prototype locations | via | multi-scale clustering |
| Deterministic Point Cloud Registration | via | Novel Transformation Decomposition |
| DetPoseNet: Improving Multi-Person Pose Estimation | via | Coarse-Pose Filtering |
| Development and Testing of a Method for Tunnel Monitoring | via | Vision Metrology |
| Development and verification of cooperative adaptive cruise control | via | LTE-V |
| Development of an Operational Algorithm for Automated Deforestation Mapping | via | the Bayesian Integration of Long-Term Optical and Microwave Satellite Data |
| Devil is in the Points: Weakly Semi-Supervised Instance Segmentation | via | Point-Guided Mask Representation, The |
| Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning | via | Pose-aware Convolution, The |
| DevNet: Self-supervised Monocular Depth Learning | via | Density Volume Construction |
| DHG-GAN: Diverse Image Outpainting | via | Decoupled High Frequency Semantics |
| DHNet: Double MPEG-4 Compression Detection | via | Multiple DCT Histograms |
| DHP: Differentiable Meta Pruning | via | Hypernetworks |
| Diabetes Noninvasive Recognition | via | Improved Capsule Network |
| Diagnosing skin cancer | via | C-means segmentation with enhanced fuzzy optimization |
| Diagnosis of Glioblastoma Multiforme Progression | via | Interpretable Structure-Constrained Graph Neural Networks |
| Diagnosis/Prognosis of COVID-19 Chest Images | via | Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications |
| Diagnostic color estimation of tissue components in pathology images | via | von Mises mixture model |
| Dialog Must Go On: Improving Visual Dialog | via | Generative Self-Training, The |
| DIBR-Synthesized Image Quality Assessment | via | Statistics of Edge Intensity and Orientation |
| Dictionary transfer for image denoising | via | domain adaptation |
| Dictionary-free categorization of very similar objects | via | stacked evidence trees |
| Dictionary-Free MRI PERK: Parameter Estimation | via | Regression with Kernels |
| DiffCloth: Diffusion Based Garment Synthesis and Manipulation | via | Structural Cross-modal Semantic Alignment |
| Diffdefense: Defending Against Adversarial Attacks | via | Diffusion Models |
| Diffeomorphic 3D Image Registration | via | Geodesic Shooting Using an Efficient Adjoint Calculation |
| Diffeomorphic Directly Manipulated Free-Form Deformation Image Registration | via | Vector Field Flows |
| Differentiable Channel Sparsity Search | via | Weight Sharing within Filters |
| Differentiable Learning-to-Group Channels | via | Groupable Convolutional Neural Networks |
| Differentiable Surface Rendering | via | Non-Differentiable Sampling |
| DiffFit: Unlocking Transferability of Large Diffusion Models | via | Simple Parameter-Efficient Fine-Tuning |
| DiffSwap: High-Fidelity and Controllable Face Swapping | via | 3D-Aware Masked Diffusion |
| Diffuse3D: Wide-Angle 3D Photography | via | Bilateral Diffusion |
| Diffusion of General Data on Non-Flat Manifolds | via | Harmonic Maps Theory: The Direction Diffusion Case |
| Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing | via | Disentangled Video Encoding |
| Diffusion-SDF: Text-to-Shape | via | Voxelized Diffusion |
| DiffuStereo: High Quality Human Reconstruction | via | Diffusion-Based Stereo Using Sparse Cameras |
| Digital connectedness | via | connectivity graph |
| Digital Image Watermarking | via | Adaptive Logo Texturization |
| Digital Ink Compression | via | Functional Approximation |
| Dimension Reduction of Optical Remote Sensing Images | via | Minimum Change Rate Deviation Method |
| Dimensionality reduction and principal surfaces | via | Kernel Map Manifolds |
| Dimensionality reduction for image classification | via | mutual information maximization |
| Dimensionality Reduction of Hyperspectral Data | via | Spectral Feature Extraction |
| Dimensionality Reduction | via | An Orthogonal Autoencoder Approach For Hyperspectral Image Classification |
| Dimensionality reduction | via | compressive sensing |
| Dimensionality Reduction | via | Diffusion Map Improved With Supervised Linear Projection |
| Diminished Reality | via | Multiple Hand-Held CAMERAS |
| DIML: Deep Interpretable Metric Learning | via | Structural Matching |
| Direct 3D-rotation estimation from spherical images | via | a generalized shift theorem |
| direct boosting algorithm for the k-nearest neighbor classifier | via | local warping of the distance metric, A |
| Direct estimation of rotation from two frames | via | epipolar search |
| Direct Multitype Cardiac Indices Estimation | via | Joint Representation and Regression Learning |
| Direct, Nonlinear Inversion Algorithm for Hyperbolic Problems | via | Projection-Based Model Reduction |
| Direction field diffusion on cortical surface | via | graph cuts |
| Direction of Arrival Estimation of Acoustic Sources with Unmanned Underwater Vehicle Swarm | via | Matrix Completion |
| Direction of arrival estimation with missing data | via | matrix completion |
| Direction-Adaptive Discrete Wavelet Transform | via | Directional Lifting and Bandeletization |
| Direction-of-Arrival Estimation of Coherent Signals | via | Coprime Array Interpolation |
| DISC: Learning from Noisy Labels | via | Dynamic Instance-Specific Selection and Correction |
| Discover Micro-Influencers for Brands | via | Better Understanding |
| Discovering Human Interactions with Large-Vocabulary Objects | via | Query and Multi-Scale Detection |
| Discovering Human Interactions With Novel Objects | via | Zero-Shot Learning |
| Discovering Human-Object Interaction Concepts | via | Self-Compositional Learning |
| Discovering motion hierarchies | via | tree-structured coding of trajectories |
| Discovering Multi-Hardware Mobile Models | via | Architecture Search |
| Discovering Objects of Joint Attention | via | First-Person Sensing |
| Discovering Person Identity | via | Large-Scale Observations |
| Discovering Relationships between Object Categories | via | Universal Canonical Maps |
| Discovery of New Multi-Level Features for Domain Generalization | via | Knowledge Corruption |
| Discovery Radiomics for Detection of Severely Atypical Melanocytic Lesions (SAML) from Skin Imaging | via | Deep Residual Group Convolutional Radiomic Sequencer |
| Discovery Radiomics | via | a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification |
| Discrete Black and White Object Recognition | via | Morphological Functions |
| Discrete Radon-Transform and Its Approximate Inversion | via | the EM Algorithm |
| Discrete Representation of Top Points | via | Scale Space Tessellation |
| Discrete visual features modeling | via | leave-one-out likelihood estimation and applications |
| Discriminant Analysis | via | Joint Euler Transform and L_2,1-Norm |
| Discriminant analysis | via | jointly -norm sparse tensor preserving embedding for image classification |
| Discriminant component analysis | via | distance correlation maximization |
| Discriminant Manifold Learning | via | Sparse Coding for Image Analysis |
| Discriminant plots obtained | via | removal of classification structures |
| Discriminating Known from Unknown Objects | via | Structure-Enhanced Recurrent Variational AutoEncoder |
| Discrimination between Genuine and Cloned Gait Silhouette Videos | via | Autoencoder-Based Training Data Generation |
| Discriminative 3D human pose estimation from monocular images | via | topological preserving hierarchical affinity clustering |
| Discriminative Embedding | via | Image-to-Class Distances |
| Discriminative Face Hallucination | via | Locality-Constrained and Category Embedding Representation |
| Discriminative FaceTopics for face recognition | via | latent Dirichlet allocation |
| Discriminative Model for Object Representation and Detection | via | Sparse Features, A |
| Discriminative Object Tracking | via | Sparse Representation and Online Dictionary Learning |
| Discriminative representation learning for person re-identification | via | multi-loss training |
| Discriminative Representative Selection | via | Structure Sparsity |
| Discriminative Reverse Sparse Tracking | via | Weighted Multitask Learning |
| Discriminative sampling | via | deep reinforcement learning for kinship verification |
| Discriminative Semi-Supervised Learning | via | Deep and Dictionary Representation for Image Classification |
| Discriminative subspace learning | via | optimization on Riemannian manifold |
| Discriminative transfer learning | via | local and global structure preservation |
| Discriminative Transfer Subspace Learning | via | Low-Rank and Sparse Representation |
| Disentangled and Controllable Face Image Generation | via | 3D Imitative-Contrastive Learning |
| Disentangling Normal Aging From Severity of Disease | via | Weak Supervision on Longitudinal MRI |
| Disp R-CNN: Stereo 3D Object Detection | via | Shape Prior Guided Instance Disparity Estimation |
| Disparity map refinement and 3D surface smoothing | via | Directed Anisotropic Diffusion |
| Dissociated Dipoles: Image representation | via | non-local comparisons |
| Distance Metric Learning | via | Iterated Support Vector Machines |
| Distilling Cross-Task Knowledge | via | Relationship Matching |
| Distilling EEG representations | via | capsules for affective computing |
| Distilling Knowledge | via | Knowledge Review |
| Distilling Object Detectors | via | Decoupled Features |
| Distinctive Image Captioning | via | Clip Guided Group Optimization |
| Distinguishing between natural and recolored images | via | lateral chromatic aberration |
| Distinguishing the Indistinguishable: Exploring Structural Ambiguities | via | Geodesic Context |
| Distortion Correction | via | Non-rigid Registration of Functional to Anatomical Magnetic Resonance Brain Images |
| Distortion-Aware Self-Supervised Indoor 360° Depth Estimation | via | Hybrid Projection Fusion and Structural Regularities |
| Distortion-Invariant Recognition | via | Jittered Queries |
| Distortion-Robust Spherical Camera Motion Estimation | via | Dense Optical Flow |
| DistPro: Searching a Fast Knowledge Distillation Process | via | Meta Optimization |
| DistractFlow: Improving Optical Flow Estimation | via | Realistic Distractions and Pseudo-Labeling |
| Distractor-Aware Fast Tracking | via | Dynamic Convolutions and MOT Philosophy |
| Distributed and Efficient Object Detection | via | Interactions Among Devices, Edge, and Cloud |
| Distributed Computation of Quantiles | via | ADMM |
| Distributed cosegmentation | via | submodular optimization on anisotropic diffusion |
| Distributed Detection of Sparse Signals With Censoring Sensors | via | Locally Most Powerful Test |
| Distributed Detection of Sparse Stochastic Signals | via | Fusion of 1-bit Local Likelihood Ratios |
| Distributed Face Recognition | via | Consensus on SE(3) |
| Distributed KNN-graph approximation | via | hashing |
| Distributed Motion Planning for Safe Autonomous Vehicle Overtaking | via | Artificial Potential Field |
| Distributed Multi-Agent Gaussian Regression | via | Finite-Dimensional Approximations |
| Distributed Multiple Description Video Transmission | via | Noncooperative Games With Opportunistic Players |
| Distributed Optimization for Shared State Systems: Applications to Decentralized Freeway Control | via | Subnetwork Splitting |
| Distributed pose averaging in camera networks | via | consensus on SE(3) |
| Distributed Projection on the Simplex and L_1 Ball | via | ADMM and Gossip |
| Distributed Sensor Perception | via | Sparse Representation |
| Distributed Traffic Signal Control Using the Cell Transmission Model | via | the Alternating Direction Method of Multipliers |
| Distribution Disagreement | via | Lorentzian Focal Representation |
| Distribution-Aware Block-Sparse Recovery | via | Convex Optimization |
| DivCo: Diverse Conditional Image Synthesis | via | Contrastive Generative Adversarial Network |
| Diverse Image Generation | via | Self-Conditioned GANs |
| Diverse Image Style Transfer | via | Invertible Cross-Space Mapping |
| Diverse Image Synthesis From Semantic Layouts | via | Conditional IMLE |
| Diverse Image-to-Image Translation | via | Disentangled Representations |
| Diverse Semantic Image Synthesis | via | Probability Distribution Modeling |
| Diverse-Region Hyperspectral Image Classification | via | Superpixelwise Graph Convolution Technique |
| Diversified Arbitrary Style Transfer | via | Deep Feature Perturbation |
| Diversified text-to-image generation | via | deep mutual information estimation |
| Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification | via | Stable Diffusion |
| Divide and Adapt: Active Domain Adaptation | via | Customized Learning |
| DNA spot extraction | via | grayscale range quantization and morphological measurement |
| DNeRV: Modeling Inherent Dynamics | via | Difference Neural Representation for Videos |
| Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes | via | Emotional Inconsistencies |
| DOA Estimation From One-Bit Compressed Array Data | via | Joint Sparse Representation |
| DOA Estimation of Coherent Sources Using Coprime Array | via | Atomic Norm Minimization |
| Doc-Trace: Tracing Secret Documents in Cloud Computing | via | Steganographic Marking |
| DOC: Text Recognition | via | Dual Adaptation and Clustering |
| DocReal: Robust Document Dewarping of Real-Life Images | via | Attention-Enhanced Control Point Prediction |
| Document categorization and evaluation | via | cross-entrophy |
| Document dewarping | via | text-line based optimization |
| Document image binarization | via | one-pass local classification |
| Document image OCR accuracy prediction | via | latent Dirichlet allocation |
| Document Layout Analysis | via | Positional Encoding |
| Document Processing | via | Trained Morphological Operators |
| Document-level relation extraction | via | graph transformer networks and temporal convolutional networks |
| Documentation of Historical Building | via | Virtual Tour: The Complex Building of Baths in Strasbourg |
| DocUNet: Document Image Unwarping | via | a Stacked U-Net |
| DoG Accuracy | via | Equivariance: Get The Interpolation Right |
| Dog breed classification | via | landmarks |
| domain adaptation approach to solve inverse problems in imaging | via | coupled deep dictionary learning, A |
| Domain Adaptation for Structured Output | via | Discriminative Patch Representations |
| Domain adaptation of articulated pose estimation | via | synthetic pose prior |
| Domain adaptation of weighted majority votes | via | perturbed variation-based self-labeling |
| Domain Adaptation on Point Clouds | via | Geometry-Aware Implicits |
| Domain Adaptation | via | Dimensionality Reduction for the Comparison of Cardiac Simulation Models |
| Domain adaptation | via | transferring spectral properties of label functions on graphs |
| Domain adaptive crowd counting | via | dynamic scale aggregation network |
| Domain Adaptive Object Detection | via | Asymmetric Tri-Way Faster-RCNN |
| Domain Adaptive Object Detection | via | Balancing Between Self-Training and Adversarial Learning |
| Domain adaptive person search | via | GAN-based scene synthesis for cross-scene videos |
| Domain Adaptive Video Segmentation | via | Temporal Consistency Regularization |
| Domain Adaptive Video Segmentation | via | Temporal Pseudo Supervision |
| Domain Adaptive Video Semantic Segmentation | via | Cross-Domain Moving Object Mixing |
| Domain Generalisation | via | Risk Distribution Matching |
| Domain Generalization | via | Balancing Training Difficulty and Model Capability |
| Domain Generalization | via | Encoding and Resampling in a Unified Latent Space |
| Domain Generalization | via | Gradient Surgery |
| Domain generalization | via | Inter-domain Alignment and Intra-domain Expansion |
| Domain Generalization | via | Optical Flow: Training a CNN in a Low-Quality Simulation to Detect Obstacles in the Real World |
| Domain Generalization | via | Rationale Invariance |
| Domain Generalization | via | Selective Consistency Regularization for Time Series Classification |
| Domain Generalization | via | Shuffled Style Assembly for Face Anti-Spoofing |
| Domain Generalization | via | Universal Non-volume Preserving Approach |
| Domain Generalized Person Re-Identification | via | Cross-Domain Episodic Learning |
| Domain Generalized Stereo Matching | via | Hierarchical Visual Transformation |
| Domain-Scalable Unpaired Image Translation | via | Latent Space Anchoring |
| Don't Forget Me: Accurate Background Recovery for Text Removal | via | Modeling Local-Global Context |
| Door detection | via | signage context-based Hierarchical Compositional Model |
| DotSCN: Group Re-Identification | via | Domain-Transferred Single and Couple Representation Learning |
| Double-DIP: Unsupervised Image Decomposition | via | Coupled Deep-Image-Priors |
| DoveNet: Deep Image Harmonization | via | Domain Verification |
| Downsampled Imaging Geometric Modeling for Accurate CT Reconstruction | via | Deep Learning |
| DPC: Unsupervised Deep Point Correspondence | via | Cross and Self Construction |
| Dreaming to Distill: Data-Free Knowledge Transfer | via | DeepInversion |
| DreamPose: Fashion Image-to-Video Synthesis | via | Stable Diffusion |
| DRIT++: Diverse Image-to-Image Translation | via | Disentangled Representations |
| Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes | via | Cross-Modal Distillation |
| Driver distraction detection | via | multi-scale domain adaptation network |
| Driver Drowsiness Detection | via | a Hierarchical Temporal Deep Belief Network |
| Driver Drowsiness Recognition | via | 3D Conditional GAN and Two-Level Attention Bi-LSTM |
| Driver Intervention Detection | via | Real-Time Transfer Function Estimation |
| Driving Hierarchy Construction | via | Supervised Learning: Application to Osteo-Articular Medical Images Database |
| Driving Maneuver Detection | via | Sequence Learning from Vehicle Signals and Video Images |
| Driving maneuver early detection | via | sequence learning from vehicle signals and video images |
| Driving Visual Saliency Prediction of Dynamic Night Scenes | via | a Spatio-Temporal Dual-Encoder Network |
| Drone HDR Infrared Video Coding | via | Aerial Map Prediction |
| Drone-Based Car Counting | via | Density Map Learning |
| Drone-Based RGB-Infrared Cross-Modality Vehicle Detection | via | Uncertainty-Aware Learning |
| DS-Depth: Dynamic and Static Depth Estimation | via | a Fusion Cost Volume |
| DS-Fusion: Artistic Typography | via | Discriminated and Stylized Diffusion |
| DSA: More Efficient Budgeted Pruning | via | Differentiable Sparsity Allocation |
| DSC-PoseNet: Learning 6DoF Object Pose Estimation | via | Dual-scale Consistency |
| DSiamMFT: An RGB-T fusion tracking method | via | dynamic Siamese networks using multi-layer feature fusion |
| DSRGAN: Detail Prior-Assisted Perceptual Single Image Super-Resolution | via | Generative Adversarial Networks |
| DTM extraction of Lidar returns | via | adaptive processing |
| Dtvnet: Dynamic Time-lapse Video Generation | via | Single Still Image |
| Dual approximated nuclear norm based matrix regression | via | adaptive line search scheme |
| Dual Cross-Attention for Video Object Segmentation | via | Uncertainty Refinement |
| Dual Transfer Learning for Event-based End-task Prediction | via | Pluggable Event to Image Translation |
| Dual-Modality Vehicle Anomaly Detection | via | Bilateral Trajectory Tracing |
| Dual-Objective Scheduling of Rescue Vehicles to Distinguish Forest Fires | via | Differential Evolution and Particle Swarm Optimization Combined Algorithm |
| Dual-Scale Single Image Dehazing | via | Neural Augmentation |
| Dual-SVM tracker | via | Multiple Support Instance and LEVER Strategy |
| Dual-Task Network for Terrace and Ridge Extraction: Automatic Terrace Extraction | via | Multi-Task Learning |
| Dual-View 3D Reconstruction | via | Learning Correspondence and Dependency of Point Cloud Regions |
| Dual-View Hyperspectral Anomaly Detection | via | Spatial Consistency and Spectral Unmixing |
| Dual-view Snapshot Compressive Imaging | via | Optical Flow Aided Recurrent Neural Network |
| DualBox: Generating BBox Pair with Strong Correspondence | via | Occlusion Pattern Clustering and Proposal Refinement |
| Duodepth: Static Gesture Recognition | via | Dual Depth Sensors |
| DVQA: Understanding Data Visualizations | via | Question Answering |
| Dynamic 3D reconstruction improvement | via | intensity video guided 4D fusion |
| Dynamic background subtraction | via | sparse representation of dynamic textures in a low-dimensional subspace |
| Dynamic Behavior Analysis | via | Structured Rank Minimization |
| Dynamic Clustering Algorithms | via | Small-Variance Analysis of Markov Chain Mixture Models |
| Dynamic Environments Localization | via | Dimensions Reduction of Deep Learning Features |
| Dynamic Face Video Segmentation | via | Reinforcement Learning |
| Dynamic Feature Queue for Surveillance Face Anti-spoofing | via | Progressive Training |
| Dynamic Feature-Extraction | via | the Velocity Hough Transform |
| Dynamic Graph Contrastive Learning | via | Maximize Temporal Consistency |
| Dynamic image mosaic | via | SIFT and dynamic programming |
| Dynamic Low-Light Image Enhancement for Object Detection | via | End-to-End Training |
| Dynamic Manga: Animating Still Manga | via | Camera Movement |
| Dynamic mode decomposition | via | convolutional autoencoders for dynamics modeling in videos |
| Dynamic mode decomposition | via | dictionary learning for foreground modeling in videos |
| Dynamic MR Image Reconstruction: Separation From Undersampled (k,t)-Space | via | Low-Rank Plus Sparse Prior |
| Dynamic Perceptual Quality Control Strategy for Mobile Multimedia Transmission | via | Watermarking Index |
| Dynamic Point Cloud Denoising | via | Manifold-to-Manifold Distance |
| Dynamic Point Cloud Inpainting | via | Spatial-Temporal Graph Learning |
| Dynamic R-CNN: Towards High Quality Object Detection | via | Dynamic Training |
| Dynamic Range Reduction of SAR Image | via | Global Optimum Entropy Maximization With Reflectivity-Distortion Constraint |
| Dynamic resource allocation for probabilistic tracking | via | attentive sensing and sampling |
| Dynamic Resource Allocation | via | Video Content and Short-term Traffic Statistics |
| Dynamic Scene Graph Generation | via | Anticipatory Pre-training |
| Dynamic Shape and Appearance Modeling | via | Moving and Deforming Layers |
| Dynamic Shape Capture | via | Periodical-Illumination Optical Flow Estimation and Multi-view Photometric Stereo |
| Dynamic Texture Recognition | via | Orthogonal Tensor Dictionary Learning |
| Dynamic tree-structured sparse RPCA | via | column subset selection for background modeling and foreground detection |
| Dynamic video segmentation | via | a novel recursive Bayesian learning method |
| Dynamic Video Segmentation | via | a Novel Recursive Kernel Density Estimation |
| Dynamic Video Stitching | via | Shakiness Removing |
| Dynamical Hyperparameter Optimization | via | Deep Reinforcement Learning in Tracking |
| Dynamical Textures Modeling | via | Joint Video Dictionary Learning |
| Dynamically Optimized Human Eyes-to-Face Generation | via | Attribute Vocabulary |
| Dynamically Shifting Multimodal Representations | via | Hybrid-Modal Attention for Multimodal Sentiment Analysis |
| DynGraph: Visual Question Answering | via | Dynamic Scene Graphs |
| DyStaB: Unsupervised Object Segmentation | via | Dynamic-Static Bootstrapping* |
| E2F-Net: Eyes-to-face inpainting | via | StyleGAN latent space |
| EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis | via | Inter-Regional Relation Learning |
| Early Crop Classification | via | Multi-Modal Satellite Data Fusion and Temporal Attention |
| Early diagnosis of cirrhosis | via | automatic location and geometric description of liver capsule |
| Early Pedestrian Intent Prediction | via | Features Estimation |
| Early Screening of Autism in Toddlers | via | Response-To-Instructions Protocol |
| Early-Season Stand Count Determination in Corn | via | Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques |
| Earth Observation | via | Compressive Sensing: The Effect of Satellite Motion |
| EasiSee: Real-Time Vehicle Classification and Counting | via | Low-Cost Collaborative Sensing |
| ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression | via | a Bilinear Regression Model |
| ECO-TR: Efficient Correspondences Finding | via | Coarse-to-Fine Refinement |
| ECON: Explicit Clothed humans Optimized | via | Normal integration |
| Economic Model Predictive Control of Large-Scale Urban Road Networks | via | Perimeter Control and Regional Route Guidance |
| EcoTTA: Memory-Efficient Continual Test-Time Adaptation | via | Self-Distilled Regularization |
| EDBGAN: Image Inpainting | via | an Edge-Aware Dual Branch Generative Adversarial Network |
| Edge Centrality | via | the Holevo Quantity |
| Edge Detection for Digital Grey Level Images | via | Dynamic Programming |
| Edge Detection with Image Enhancement | via | Dynamic Programming |
| Edge Feature Matching of Remote Sensing Images | via | Parameter Decomposition of Affine Transformation Model |
| Edge preserving suppression for depth estimation | via | comparative variation |
| Edge-Aware Salient Object Detection Network | via | Context Guidance |
| Edge-Based Color Constancy | via | Support Vector Regression |
| Edge-Directed Single-Image Super-Resolution | via | Adaptive Gradient Magnitude Self-Interpolation |
| Edge-enhanced Instance Segmentation of Wrist CT | via | a Semi-Automatic Annotation Database Construction Method |
| Edge-Guided Image Interpolation Algorithm | via | Directional Filtering and Data Fusion, An |
| Edge-Preserving Image Denoising | via | Group Coordinate Descent on the GPU |
| Edge-Preserving Image Denoising | via | Optimal Color Space Projection |
| Edge-preserving photometric stereo | via | depth fusion |
| Edge/structure preserving smoothing | via | relativity-of-Gaussian |
| Edge/Structure-Preserving Texture Filter | via | Relative Bilateral Filtering With a Conditional Constraint |
| EDICT: Exact Diffusion Inversion | via | Coupled Transformations |
| Editable Image Geometric Abstraction | via | Neural Primitive Assembly |
| Editing Out-of-Domain GAN Inversion | via | Differential Activations |
| EDMC: Efficient Multi-View Clustering | via | Cluster and Instance Space Learning |
| EDN: Salient Object Detection | via | Extremely-Downsampled Network |
| EEG Feature Selection | via | Global Redundancy Minimization for Emotion Recognition |
| EEG-Based Auditory Attention Detection | via | Frequency and Channel Neural Attention |
| EEG-Based Emotion Recognition | via | Channel-Wise Attention and Self Attention |
| EEG-Based Emotion Recognition | via | Neural Architecture Search |
| EEG-Based Emotion Recognition With Emotion Localization | via | Hierarchical Self-Attention |
| EEG-Based Emotional Video Classification | via | Learning Connectivity Structure |
| EESSO: Exploiting Extreme and Smooth Signals | via | Omni-frequency learning for Text-based Person Retrieval |
| Effect of Water Transfer during Non-growing Season on the Wetland Ecosystem | via | Surface and Groundwater Interactions in Arid Northwestern China, The |
| Effective and Fast Estimation for Image Sensor Noise | via | Constrained Weighted Least Squares |
| Effective Barcode Hunter | via | Semantic Segmentation in the Wild |
| Effective browsing of image search results | via | diversified visual summarization by clustering and refining clusters |
| Effective Cloud Detection Method for Gaofen-5 Images | via | Deep Learning, An |
| Effective compressed sensing MRI reconstruction | via | hybrid GSGWO algorithm |
| Effective document image deblurring | via | gradient histogram preservation |
| Effective Face Anti-Spoofing Method | via | Stereo Matching, An |
| Effective image database search | via | dimensionality reduction |
| Effective Image Retrieval | via | Multilinear Multi-Index Fusion |
| Effective Infrared and Visible Image Fusion Approach | via | Rolling Guidance Filtering and Gradient Saliency Map, An |
| Effective shadow removal | via | multi-scale image decomposition |
| Effective Snapshot Compressive-spectral Imaging | via | Deep Denoising and Total Variation Priors |
| Effective speaker verification | via | dynamic mismatch compensation |
| Effective Tensor Completion | via | Element-Wise Weighted Low-Rank Tensor Train With Overlapping Ket Augmentation |
| Effective transductive learning | via | objective model selection |
| Efficient 3D dental identification | via | signed feature histogram and learning keypoint detection |
| Efficient 3D object recognition | via | geometric information preservation |
| Efficient 3D Scene Semantic Segmentation | via | Active Learning on Rendered 2D Images |
| Efficient Action Detection in Untrimmed Videos | via | Multi-task Learning |
| Efficient Action Recognition | via | Dynamic Knowledge Propagation |
| Efficient Adaptive Online Learning | via | Frequent Directions |
| Efficient Additive Kernels | via | Explicit Feature Maps |
| Efficient Algorithm for Convolutional Dictionary Learning | via | Accelerated Proximal Gradient Consensus |
| Efficient and Effective Nonconvex Low-Rank Subspace Clustering | via | SVT-Free Operators |
| Efficient and Model-Based Infrared and Visible Image Fusion | via | Algorithm Unrolling |
| Efficient and robust large-scale structure-from-motion | via | track selection and camera prioritization |
| Efficient and Robust Shape Correspondence | via | Sparsity-Enforced Quadratic Assignment |
| Efficient and Stable Graph Scattering Transforms | via | Pruning |
| Efficient and unified license plate recognition | via | lightweight deep neural network |
| Efficient Angle Estimation for MIMO Systems | via | Redundancy Reduction Representation |
| Efficient Approach for the Harmonic Retrieval Problem | via | Haar Wavelet Transform, An |
| Efficient Bayesian Model Selection in PARAFAC | via | Stochastic Thermodynamic Integration |
| Efficient Beltrami Filtering of Color Images | via | Vector Extrapolation |
| Efficient Beltrami Image Filtering | via | Vector Extrapolation Methods |
| Efficient Camouflaged Object Detection | via | Progressive Refinement Network |
| Efficient Clustering Method for Hyperspectral Optimal Band Selection | via | Shared Nearest Neighbor, An |
| Efficient Compression Method for Sign Information of DCT Coefficients | via | Sign Retrieval, An |
| Efficient Computation of MSE Lower Bounds | via | Matching Pursuit |
| Efficient construction of histology slide mosaics | via | phase correlation registration of high resolution tiles |
| Efficient Correlation Tracking | via | Center-Biased Spatial Regularization |
| Efficient COVID-19 testing | via | contextual model based compressive sensing |
| Efficient Crowd Counting | via | Dual Knowledge Distillation |
| Efficient Deblurring | via | High-Frequency and Low-Frequency Information Fusion |
| Efficient Deep Feature Learning and Extraction | via | StochasticNets |
| Efficient deformable shape correspondence | via | multiscale spectral manifold wavelets preservation |
| Efficient Design Space Exploration of Multi-Mode, Two-Planetary-Gear, Power-Split Hybrid Electric Powertrains | via | Virtual Levers |
| Efficient Diffusion Training | via | Min-SNR Weighting Strategy |
| Efficient Domain Adaptation | via | Generative Prior for 3D Infant Pose Estimation |
| Efficient EMD and Hilbert spectra computation for 3D geometry processing and analysis | via | space-filling curve |
| Efficient Empirical Solver for Localized Multiple Kernel Learning | via | DNNs, An |
| Efficient Evaluation of Image Quality | via | Deep-Learning Approximation of Perceptual Metrics |
| Efficient Feature Matching | via | Nonnegative Orthogonal Relaxation |
| Efficient Feature Reconstruction | via | l2,1-Norm Regularization for Few-Shot Classification |
| Efficient feature size reduction | via | predictive forward selection |
| Efficient Federated Learning | via | Local Adaptive Amended Optimizer With Linear Speedup |
| Efficient Few-Shot Object Detection | via | Knowledge Inheritance |
| Efficient graph-based image segmentation | via | speeded-up turbo pixels |
| Efficient Halftoning | via | Deep Reinforcement Learning |
| Efficient Histogram PMHT | via | Single Target Chip Processing |
| Efficient Human Motion Retrieval | via | Temporal Adjacent Bag of Words and Discriminative Neighborhood Preserving Dictionary Learning |
| Efficient human pose estimation | via | parsing a tree structure based human model |
| efficient illumination invariant face recognition framework | via | illumination enhancement and DD-DTWT filtering, An |
| Efficient Image Classification | via | Multiple Rank Regression |
| Efficient image classification | via | sparse coding spatial pyramid matching representation of SIFT-WCS-LTP feature |
| Efficient image/video deblocking | via | sparse representation |
| Efficient instance search from large video database | via | sparse filters in subspaces |
| Efficient interactions for reconstructing complex buildings | via | joint photometric and geometric saliency segmentation |
| Efficient Iris Spoof Detection | via | Boosted Local Binary Patterns |
| Efficient Iterative Cerebral Perfusion CT Reconstruction | via | Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization, An |
| Efficient kernel descriptor for image categorization | via | pivots selection |
| Efficient Label Collection for Image Datasets | via | Hierarchical Clustering |
| Efficient Lane-Level Map Building | via | Vehicle-Based Crowdsourcing |
| Efficient Large Scale Image Classification | via | Prediction Score Decomposition |
| Efficient Large-scale Airborne Lidar Data Classification | via | Fully Convolutional Network |
| Efficient Large-Scale Video Retrieval | via | Discriminative Signatures |
| Efficient Low-Resolution Face Recognition | via | Bridge Distillation |
| Efficient Mean-Shift Tracking | via | a New Similarity Measure |
| Efficient misalignment-robust face recognition | via | locality-constrained representation |
| Efficient Mobile Video Streaming | via | Context-Aware RaptorQ-Based Unequal Error Protection |
| Efficient Model Personalization in Federated Learning | via | Client-Specific Prompt Generation |
| Efficient Model Selection for Mixtures of Probabilistic PCA | via | Hierarchical BIC |
| Efficient MRF Energy Propagation for Video Segmentation | via | Bilateral Filters |
| Efficient Multi-exposure Image Fusion | via | Filter-dominated Fusion and Gradient-driven Unsupervised Learning |
| Efficient Multi-Sensor Remote Sensing Image Clustering in Urban Areas | via | Boosted Convolutional Autoencoder (BCAE), An |
| Efficient multi-target tracking | via | discovering dense subgraphs |
| Efficient Multiclass ROC Approximation by Decomposition | via | Confusion Matrix Perturbation Analysis |
| Efficient Multimodal Fusion | via | Interactive Prompting |
| Efficient Nearest Neighbors | via | Robust Sparse Hashing |
| Efficient nearly-optimal motion and structure from images | via | analysis of dimensional reduction: application to safety checking system |
| Efficient Neighbourhood Consensus Networks | via | Submanifold Sparse Convolutions |
| Efficient Network Pruning | via | Feature Selection |
| Efficient Neural Image Decoding | via | Fixed-Point Inference |
| Efficient Nonlinear Finite Element Modeling of Nonrigid Objects | via | Optimization of Mesh Models |
| Efficient Nonnegative Matrix Factorization | via | projected Newton method |
| Efficient Object Annotation | via | Speaking and Pointing |
| Efficient object shape recovery | via | slicing planes |
| Efficient On-Device Training | via | Gradient Filtering |
| Efficient Online Local Metric Adaptation | via | Negative Samples for Person Re-identification |
| Efficient Pan-Sharpening Method | via | a Combined Adaptive PCA Approach and Contourlets, An |
| Efficient Particle Filtering | via | Sparse Kernel Density Estimation |
| Efficient Pedestrian Detection | via | Rectangular Features Based on a Statistical Shape Model |
| Efficient Person Search | via | Expert-Guided Knowledge Distillation |
| Efficient Polygon Decomposition into Singular and Regular Regions | via | Voronoi Diagrams |
| Efficient Polygonal Approximation of Digital Curves | via | Monte Carlo Optimization |
| Efficient Polygonal Decomposition Into Singular and Regular Regions | via | Voronoi Diagrams |
| Efficient Progressive High Dynamic Range Image Restoration | via | Attention and Alignment Network |
| Efficient Quasi-Newton Method for Nonlinear Inverse Problems | via | Learned Singular Values, An |
| Efficient Registration and Recognition Algorithm | via | Sieve Processes, An |
| Efficient RGB-T Tracking | via | Cross-Modality Distillation |
| Efficient Road Mapping | via | Interactive Image Segmentation |
| Efficient robust methods | via | monitoring for clustering and multivariate data analysis |
| Efficient Robust Principal Component Analysis | via | Block Krylov Iteration and CUR Decomposition |
| Efficient Robustness Assessment | via | Adversarial Spatial-Temporal Focus on Videos |
| Efficient Rotational Angular Velocity Estimation of Rotor Target | via | Modified Short-Time Fractional Fourier Transform |
| Efficient SAR Processor Based on GPU | via | CUDA, An |
| Efficient Screen Space Ambient Occlusion Generation | via | Residual network |
| Efficient search of comprehensively robust neural architectures | via | multi-fidelity evaluation |
| Efficient Semantic Image Synthesis | via | Class-Adaptive Normalization |
| Efficient Semantic Segmentation | via | Self-Attention and Self-Distillation |
| Efficient Semidefinite Spectral Clustering | via | Lagrange Duality |
| Efficient Sentence Embedding | via | Semantic Subspace Analysis |
| Efficient Shape Matching | via | Graph Cuts |
| Efficient similarity search for covariance matrices | via | the Jensen-Bregman LogDet Divergence |
| Efficient Single Image Super-Resolution | via | Hybrid Residual Feature Learning with Compact Back-Projection Network |
| Efficient Skeleton-Based Action Recognition | via | Joint-Mapping strategies |
| Efficient Sparsity Estimation | via | Marginal-Lasso Coding |
| Efficient spectral reconstruction using a trichromatic camera | via | sample optimization |
| Efficient Stereoscopic Ranging | via | Stochastic Sampling of Match Quality |
| Efficient Storage of Infrared Video of Drone Inspections | via | Iterative Aerial Map Construction, An |
| Efficient structure detection | via | random consensus graph |
| Efficient subset selection | via | the kernelized Renyi distance |
| Efficient super-resolution | via | image warping |
| Efficient Syndrome Calculation | via | the Inverse Cyclotomic Discrete Fourier Transform |
| efficient tensor completion method | via | truncated nuclear norm, An |
| Efficient Text-based Person Search | via | Single-stage Identity-guided Attribute Parsing and Alignment |
| Efficient Tracking of Sparse Signals | via | an Earth Mover's Distance Dynamics Regularizer |
| Efficient training for pairwise or higher order CRFs | via | dual decomposition |
| Efficient Transfer Learning for Visual Tasks | via | Continuous Optimization of Prompts |
| Efficient Transfer Learning | via | Joint Adaptation of Network Architecture and Weight |
| Efficient Transmission of Half-Tones | via | Facsimile |
| Efficient Uncertainty Estimation in Semantic Segmentation | via | Distillation |
| Efficient Video Compression | via | Content-Adaptive Super-Resolution |
| Efficient video copy detection | via | aligning video signature time series |
| Efficient Video Instance Segmentation | via | Tracklet Query and Proposal |
| Efficient Video Object Segmentation | via | Network Modulation |
| Efficient Video Prediction | via | Sparsely Conditioned Flow Matching |
| Efficient Vision Transformer | via | Token Merger |
| Efficient Visual Tracking | via | Hierarchical Cross-attention Transformer |
| Efficient Wetland Surface Water Detection and Monitoring | via | Landsat: Comparison with in situ Data from the Everglades Depth Estimation Network |
| Efficiently Refining Beampattern in FDA-MIMO Radar | via | Alternating Manifold Optimization for Maximizing Signal-to-Interference-Noise Ratio |
| Efficiently utilizing complex-valued PolSAR image data | via | a multi-task deep learning framework |
| EFINet: Restoration for Low-Light Images | via | Enhancement-Fusion Iterative Network |
| EGC: Image Generation and Classification | via | a Diffusion Energy-Based Model |
| Ego-Body Pose Estimation | via | Ego-Head Pose Estimation |
| Egocentric Activity Prediction | via | Event Modulated Attention |
| Egocentric Daily Activity Recognition | via | Multitask Clustering |
| Egocentric Early Action Prediction | via | Multimodal Transformer-Based Dual Action Prediction |
| Egocentric hand detection | via | region growth |
| Egocentric Scene Understanding | via | Multimodal Spatial Rectifier |
| EgoFish3D: Egocentric 3D Pose Estimation From a Fisheye Camera | via | Self-Supervised Learning |
| Electrical conductivity imaging | via | contactless measurements: an experimental study |
| Eliminating Contextual Prior Bias for Semantic Image Editing | via | Dual-Cycle Diffusion |
| Elliptical Feature Extraction | via | an Improved Hough Transform |
| Ellipticity and Circularity Measuring | via | Kullback-Leibler Divergence |
| EM-like Algorithm for Motion Segmentation | via | Eigendecomposition, An |
| Embedded Motion Detection | via | Neural Response Mixture Background Modeling |
| Embedding new observations | via | sparse-coding for non-linear manifold learning |
| EmoBed: Strengthening Monomodal Emotion Recognition | via | Training with Crossmodal Emotion Embeddings |
| EMOD: Efficient Moving Object Detection | via | Image Eccentricity Analysis and Sparse Neural Networks |
| Emotion Recognition From Multimodal Physiological Signals | via | Discriminative Correlation Fusion With a Temporal Alignment Mechanism |
| Emotion recognition from scrambled facial images | via | many graph embedding |
| Emotion recognition from speech signals | via | a probabilistic echo-state network |
| Emotion-Aware Video QoE Assessment | via | Transfer Learning |
| Emotion-Preserving Representation Learning | via | Generative Adversarial Network for Multi-View Facial Expression Recognition |
| Emotional image color transfer | via | deep learning |
| Empirical modeling using symbolic regression | via | postfix Genetic Programming |
| Empirical Study of Query Effectiveness Improvement | via | Multiple Visual Feature Integration, An |
| Empirical wavelet transform-based fog removal | via | dark channel prior |
| Empowering Knowledge Distillation | via | Open Set Recognition for Robust 3D Point Cloud Classification |
| EMScore: Evaluating Video Captioning | via | Coarse-Grained and Fine-Grained Embedding Matching |
| Enabling Enriched TV Shopping Experience | via | Computational and Temporal Aware View-Centric Multimedia Abstraction |
| Enabling Seamless Access to Digital Graphical Contents for Visually Impaired Individuals | via | Semantic-Aware Processing |
| Enabling Secure and Fast Indexing for Privacy-Assured Healthcare Monitoring | via | Compressive Sensing |
| Enabling the Big Earth Observation Data | via | Cloud Computing and DGGS: Opportunities and Challenges |
| Enabling the Wireless Charging | via | Bus Network: Route Scheduling for Electric Vehicles |
| Enabling Trimap-Free Image Matting With a Frequency-Guided Saliency-Aware Network | via | Joint Learning |
| Encoding Actions | via | Quantized Vocabulary of Averaged Silhouettes |
| Encoding true-color images with a limited palette | via | soft vector clustering as an instance of dithering multidimensional signals |
| End to End Face Reconstruction | via | Differentiable PNP |
| End-to-End Active Object Tracking and Its Real-World Deployment | via | Reinforcement Learning |
| End-to-end binary representation learning | via | direct binary embedding |
| End-to-end crowd counting | via | joint learning local and global count |
| End-to-end dense video grounding | via | parallel regression |
| End-To-End Depth Map Compression Framework | via | Rgb-To-Depth Structure Priors Learning |
| End-To-End Efficient Representation Learning | via | Cascading Combinatorial Optimization |
| End-to-End Image Stitching Network | via | Multi-Homography Estimation |
| End-to-end kernel learning | via | generative random Fourier features |
| End-to-End Lane Marker Detection | via | Row-wise Classification |
| End-to-End Learnt Image Compression | via | Non-Local Attention Optimization and Improved Context Modeling |
| End-to-End Multi-Task Learning Model for Drivable Road Detection | via | Edge Refinement and Geometric Deformation, An |
| End-to-End Real-Time Obstacle Detection Network for Safe Self-Driving | via | Multi-Task Learning |
| End-to-End Saliency Mapping | via | Probability Distribution Prediction |
| end-to-end steel surface defect detection approach | via | Swin transformer, An |
| End-to-end subtitle detection and recognition for videos in East Asian languages | via | CNN ensemble |
| End-to-End Video Gaze Estimation | via | Capturing Head-Face-Eye Spatial-Temporal Interaction Context |
| End-to-End Video Instance Segmentation | via | Spatial-Temporal Graph Neural Networks |
| End-to-end video subtitle recognition | via | a deep Residual Neural Network |
| End-to-end visual grounding | via | region proposal networks and bilinear pooling |
| Endoscopic video deblurring | via | synthesis |
| Energetic Electron Precipitation | via | Satellite and Balloon Observations: Their Role in Atmospheric Ionization |
| Energy Minimization | via | Graph Cuts: Settling What is Possible |
| Energy-minimized wireless video transmissions | via | sharing of retransmission limits |
| ENF Detection in Audio Recordings | via | Multi-Harmonic Combining |
| Engaging Image Captioning | via | Personality |
| Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular Biomarkers From Lateral Flow Immunoassay Images | via | Neural Networks And Dynamic Time Warping |
| Enhance Composed Image Retrieval | via | Multi-Level Collaborative Localization and Semantic Activeness Perception |
| Enhance | via | Decoupling: Improving Multi-Label Classifiers With Variational Feature Augmentation |
| Enhance Visual Recognition Under Adverse Conditions | via | Deep Networks |
| Enhanced Accuracy and Robustness | via | Multi-teacher Adversarial Distillation |
| Enhanced Bayesian Compression | via | Deep Reinforcement Learning |
| Enhanced blind face inpainting | via | structured mask prediction |
| Enhanced deformable part model for pedestrian detection | via | joint state inference |
| Enhanced Digital Halftoning | via | Weighted Sigma-Delta Modulation |
| Enhanced factorization machine | via | neural pairwise ranking and attention networks |
| Enhanced Gaze Following | via | Object Detection and Human Pose Estimation |
| Enhanced Hyperspectral Image Super-Resolution | via | RGB Fusion and TV-TV Minimization |
| Enhanced Image Restoration | via | Supervised Target Feature Transfer |
| Enhanced Inter-Prediction | via | Shifting Transformation in the H.264/AVC |
| Enhanced Invariant Feature Joint Learning | via | Modality-Invariant Neighbor Relations for Cross-Modality Person Re-Identification |
| Enhanced iris presentation attack detection | via | contraction-expansion CNN |
| Enhanced Neuron Attribution-Based Attack | via | Pixel Dropping, An |
| Enhanced object detection | via | fusion with prior beliefs from image classification |
| Enhanced Saliency Prediction | via | Orientation Selectivity |
| Enhanced Training of Query-Based Object Detection | via | Selective Query Recollection |
| Enhanced usability of iris recognition | via | efficient user interface and iris image restoration |
| Enhancement of coded video sequences | via | an adaptive nonlinear post-processing |
| Enhancement of Retinal Fundus Images | via | Pixel Color Amplification |
| Enhancement | via | fusion of mammographic features |
| Enhancing 2D Representation | via | Adjacent Views for 3D Shape Retrieval |
| Enhancing Adversarial Robustness in Low-Label Regime | via | Adaptively Weighted Regularization and Knowledge Distillation |
| Enhancing Adversarial Robustness | via | Test-Time Transformation Ensembling |
| Enhancing Alzheimer's Disease Diagnosis | via | Hierarchical 3D-FCN with Multi-Modal Features |
| Enhancing Classification Accuracy on Limited Data | via | Unconditional GAN |
| Enhancing deep discriminative feature maps | via | perturbation for face presentation attack detection |
| Enhancing deep feature representation in self-knowledge distillation | via | pyramid feature refinement |
| Enhancing deep neural networks | via | multiple kernel learning |
| Enhancing Degraded Document Images | via | Bitmap Clustering And Averaging |
| Enhancing Denoised Image | via | Fusion With a Noisy Image |
| Enhancing Diversity in Teacher-Student Networks | via | Asymmetric branches for Unsupervised Person Re-identification |
| Enhancing Diversity of Defocus Blur Detectors | via | Cross-Ensemble Network |
| Enhancing Emotion Classification Through Speech and Correlated Emotional Sounds | via | a Variational Auto-Encoder Model with Prosodic Regularization |
| Enhancing human action recognition | via | structural average curves analysis |
| Enhancing Image and Video Retrieval: Learning | via | Equivalence Constraints |
| Enhancing Image Quality | via | Style Transfer for Single Image Super-Resolution |
| Enhancing in-tree-based clustering | via | distance ensemble and kernelization |
| Enhancing Intrinsic Adversarial Robustness | via | Feature Pyramid Decoder |
| Enhancing inverse halftoning | via | coupled dictionary training |
| Enhancing ISAR Image Efficiently | via | Convolutional Reweighted L1 Minimization |
| Enhancing Modality-Agnostic Representations | via | Meta-learning for Brain Tumor Segmentation |
| Enhancing Multiple Reliability Measures | via | Nuisance-Extended Information Bottleneck |
| Enhancing nighttime surveillance video | via | gradient fusion |
| Enhancing Non-line-of-sight Imaging | via | Learnable Inverse Kernel and Attention Mechanisms |
| Enhancing Normal-Abnormal Classification Accuracy in Colonoscopy Videos | via | Temporal Consistency |
| Enhancing Part Features | via | Contrastive Attention Module for Vehicle Re-identification |
| Enhancing Privacy Preservation in Federated Learning | via | Learning Rate Perturbation |
| Enhancing pulmonary nodule detection | via | cross-modal alignment |
| Enhancing Pure-Pixel Identification Performance | via | Preconditioning |
| Enhancing Scene Text Detection | via | Fused Semantic Segmentation Network with Attention |
| Enhancing Self-Supervised Monocular Depth Estimation | via | Piece-Wise Pose Estimation and Geometric Constraints |
| Enhancing Self-supervised Video Representation Learning | via | Multi-level Feature Optimization |
| Enhancing Sensor Pattern Noise | via | Filtering Distortion Removal |
| Enhancing Style-Guided Image-to-Image Translation | via | Self-Supervised Metric Learning |
| Enhancing Surveillance Camera FOV Quality | via | Semantic Line Detection and Classification with Deep Hough Transform |
| Enhancing Targeted Transferability | via | Suppressing High-Confidence Labels |
| Enhancing the Image Quality | via | Transferred Deep Residual Learning of Coarse PET Sinograms |
| Enhancing transferability of adversarial examples | via | rotation-invariant attacks |
| Enhancing Underwater Color Images | via | Optical Imaging Model and Non-Local Means Denoising |
| Enhancing underwater image | via | color correction and Bi-interval contrast enhancement |
| Enhancing Video Summarization | via | Vision-Language Embedding |
| Enriching Visual Knowledge Bases | via | Object Discovery and Segmentation |
| ENSEI: Efficient Secure Inference | via | Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition |
| Ensemble Clustering | via | Random Walker Consensus Strategy |
| Ensemble Prostate Tumor Classification in H&E Whole Slide Imaging | via | Stain Normalization and Cell Density Estimation |
| Ensemble single image deraining network | via | progressive structural boosting constraints |
| Entropic Graph Embedding | via | Multivariate Degree Distributions |
| Entropy-Rate Clustering: Cluster Analysis | via | Maximizing a Submodular Function Subject to a Matroid Constraint |
| Eogface: Deep Face Recognition | via | Extensional Logits |
| Epipolar geometry estimation | via | RANSAC benefits from the oriented epipolar constraint |
| Epipolar Geometry | via | Rectification of Spherical Images |
| epislon-ViLM: Efficient Video-Language Model | via | Masked Video Modeling with Semantic Vector-Quantized Tokenizer |
| Epitomic image factorization | via | neighbor-embedding |
| epsilon-Constraint and Fuzzy Logic-Based Optimization of Hazardous Material Transportation | via | Lane Reservation |
| Equine Pain Behavior Classification | via | Self-Supervised Disentangled Pose Representation |
| Equivariant Deep Learning | via | Morphological and Linear Scale Space PDEs on the Space of Positions and Orientations |
| Equivariant Point Cloud Analysis | via | Learning Orientations for Message Passing |
| ERM-KTP: Knowledge-Level Machine Unlearning | via | Knowledge Transfer |
| Error concealment | via | 3-mode tensor approximation |
| Error concealment | via | Kalman filter for heavily corrupted videos in H.264/AVC |
| Error concealment | via | particle filter by Gaussian mixture modeling of motion vectors for H.264/AVC |
| Error Propagation Framework for Diffusion Tensor Imaging | via | Diffusion Tensor Representations |
| Error-Reduced Elliptic Positioning | via | Joint Estimation of Location and a Balancing Parameter |
| Error-resilient coding of 3-d graphic models | via | adaptive mesh segmentation |
| ESIR: End-To-End Scene Text Recognition | via | Iterative Image Rectification |
| Establishing Point Correspondence of 3D Faces | via | Sparse Facial Deformable Model |
| Estimating 3D body mesh without SMPL annotations | via | alternating successive convex approximation |
| Estimating 3D Gaze Directions Using Unlabeled Eye Images | via | Synthetic Iris Appearance Fitting |
| Estimating 3D Pose | via | Stochastic Search and Expectation Maximization |
| Estimating 3D trajectories from 2D projections | via | disjunctive factored four-way conditional restricted Boltzmann machines |
| Estimating Cognitive Load and Cybersickness of Pilots in VR Simulations | via | Unobtrusive Physiological Sensors |
| Estimating Defocus Blur | via | Rank of Local Patches |
| Estimating embedded data from clustered halftone dots | via | learned dictionary |
| Estimating Fine-Grained Noise Model | via | Contrastive Learning |
| Estimating Heart Rate and Rhythm | via | 3D Motion Tracking in Depth Video |
| Estimating High-Resolution Surface Normals | via | Low-Resolution Photometric Stereo Images |
| Estimating Illumination Chromaticity | via | Kernel Regression |
| Estimating Next Day's Forest Fire Risk | via | a Complete Machine Learning Methodology |
| Estimating rigid motions | via | the conformal model of Euclidean space |
| Estimating Sparse Signals with Smooth Support | via | Convex Programming and Block Sparsity |
| Estimating the Fundamental Matrix | via | Constrained Least-Squares: A Convex Approach |
| Estimating the number of clusters in a data set | via | the gap statistic |
| Estimating the number of clusters in a numerical data set | via | quantization error modeling |
| Estimating the number of people in a video sequence | via | geometrical model |
| Estimating the Observation Area of a Stripmap SAR | via | an ISAR Image Sequence |
| Estimation of 3-D Translational Motion Parameters | via | Hadamard Transform |
| Estimation of Affine Transformations between Image Pairs | via | Fourier Transform |
| Estimation of building height using a single street view image | via | deep neural networks |
| Estimation of Daily Maize Gross Primary Productivity by Considering Specific Leaf Nitrogen and Phenology | via | Machine Learning Methods |
| Estimation of Emotion Labels | via | Tensor-Based Spatiotemporal Visual Attention Analysis |
| Estimation of Gaussian mixture models | via | tensor moments with application to online learning |
| Estimation of grain protein content in commercial bread and durum wheat fields | via | traits inverted by radiative transfer modelling from Sentinel-2 timeseries |
| Estimation of Population Number | via | Light Activities On Night-time Satellite Images |
| Estimation of Rainfall | via | IMERG-FR and Its Relationship with the Records of a Rain Gauge Network with Spatio-Temporal Variation, Case of Study: Mexican Semi-Arid Region |
| Estimation of Signal-Dependent Noise Level Function in Transform Domain | via | a Sparse Recovery Model |
| Estimation of signal-dependent sensor noise | via | sparse representation of noise level functions |
| Estimation of Significant Wave Heights from ASCAT Scatterometer Data | via | Deep Learning Network |
| Estimation of Supraglacial Dust and Debris Geochemical Composition | via | Satellite Reflectance and Emissivity |
| Estimation of the Number of Endmembers in a Hyperspectral Image | via | the Hubness Phenomenon |
| Estimation of the Number of Endmembers | via | Thresholding Ridge Ratio Criterion |
| Estimation of the Optimal Variational Parameter | via | SNR Analysis |
| Estimation of the orientation of textured patterns | via | wavelet analysis |
| Estimations of Clustering Quality | via | Evaluation of Its Stability |
| Estimator for Weather Radar Doppler Power Spectrum | via | Minimum Mean Square Error, An |
| Euclidean Ordering | via | Chamfer Distance Calculations |
| Euclidean Skeleton | via | Centre-of-Maximal-Disc Extraction |
| Euclidean Structure Recovery from Motion in Perspective Image Sequences | via | Hankel Rank Minimization |
| EvAC3D: From Event-Based Apparent Contours to 3D Models | via | Continuous Visual Hulls |
| Evading DeepFake Detectors | via | Adversarial Statistical Consistency |
| Evading Deepfake Detectors | via | High Quality Face Pre-Processing Methods |
| Evaluating Capability of Deep Neural Networks for Image Classification | via | Information Plane |
| Evaluating Crowd Density Estimators | via | Their Uncertainty Bounds |
| Evaluating document analysis results | via | graph probing |
| Evaluating Image Normalization | via | GANs for Environmental Mapping: A Case Study of Lichen Mapping Using High-Resolution Satellite Imagery |
| Evaluating the Effects of Image Texture Analysis on Plastic Greenhouse Segments | via | Recognition of the OSI-USI-ETA-CEI Pattern |
| Evaluating the Stability of Spatial Keypoints | via | Cluster Core Correspondence Index |
| Evaluating Visual Properties | via | Robust HodgeRank |
| Evaluation of 3D interest point detection techniques | via | human-generated ground truth |
| Evaluation of Player Enjoyment in Game-Based Learning Arithmetic Drills | via | Racing Game, An |
| Evaluation of Segmentation Quality | via | Adaptive Composition of Reference Segmentations |
| Evaluation of Total Nitrogen in Water | via | Airborne Hyperspectral Data: Potential of Fractional Order Discretization Algorithm and Discrete Wavelet Transform Analysis |
| EvDistill: Asynchronous Events to End-task Learning | via | Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation |
| Event detection in coarsely annotated sports videos | via | parallel multi receptive field 1D convolutions |
| Event Stream Super-Resolution | via | Spatiotemporal Constraint Learning |
| Event-Aware Video Deraining | via | Multi-Patch Progressive Learning |
| Event-based Star Tracking | via | Multiresolution Progressive Hough Transforms |
| Event-based Video Reconstruction | via | Potential-assisted Spiking Neural Network |
| Event-guided low light image enhancement | via | a dual branch GAN |
| Event-Guided Person Re-Identification | via | Sparse-Dense Complementary Learning |
| EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution | via | End-to-End Adversarial Learning |
| Evolutionary Programming in Image Restoration | via | Reduced Order Model Kalman Filtering |
| Evolutionary Search | via | channel attention based parameter inheritance and stochastic uniform sampled training |
| Evolving boundary detectors for natural images | via | Genetic Programming |
| Evolving Domain Generalization | via | Latent Structure-Aware Sequential Autoencoder |
| Evolving Fully Automated Machine Learning | via | Life-Long Knowledge Anchors |
| Exact (spiral+circles) scan region-of-interest cone beam reconstruction | via | backprojection |
| Exact Adversarial Attack to Image Captioning | via | Structured Output Learning With Latent Variables |
| Exact and fast algorithm for two-dimensional image wavelet moments | via | the projection transform |
| Exact and Fast CBCT Reconstruction | via | Pseudo-Polar Fourier Transform-Based Discrete Grangeat's Formula, An |
| Exact and Heuristic Algorithms for Rapid and Station Arrival-Time Guaranteed Bus Transportation | via | Lane Reservation |
| Exact image representation | via | a number-theoretic radon transform |
| Exact Median Graph Computation | via | Graph Embedding |
| Exact Recovery of Multichannel Sparse Blind Deconvolution | via | Gradient Descent |
| Exact Support Recovery of Sparse Signals With Noise | via | Orthogonal Matching Pursuit, The |
| Example-based image super-resolution | via | blur kernel estimation and variational reconstruction |
| Example-Based Image Synthesis | via | Randomized Patch-Matching |
| Example-based rapid generation of vegetation on terrain | via | CNN-based distribution learning |
| Example-Based Super-Resolution | via | Structure Analysis of Patches |
| Exchange rate and interest rate differential: A conundrum re-examined | via | wavelet analysis |
| Executing your Commands | via | Motion Diffusion in Latent Space |
| Exemplar Guided Cross-Spectral Face Hallucination | via | Mutual Information Disentanglement |
| Exemplar-Aided Salient Object Detection | via | Joint Latent Space Embedding |
| Exemplar-Based EM-like image denoising | via | manifold reconstruction |
| Exemplar-Driven Top-Down Saliency Detection | via | Deep Association |
| Exemplar-Free Class Incremental Learning | via | Discriminative and Comparable Parallel One-Class Classifiers |
| Expanding Expressiveness of Diffusion Models with Limited Data | via | Self-Distillation based Fine-Tuning |
| Experimental Framework to Validate 3D Models of Cardiac Electrophysiology | via | Optical Imaging and MRI, An |
| Experimental protocol designed to employ Nd:YAG laser surgery for anterior chamber glaucoma detection | via | UBM |
| Explain2Attack: Text Adversarial Attacks | via | Cross-Domain Interpretability |
| Explainability of Speech Recognition Transformers | via | Gradient-Based Attention Visualization |
| Explainable AI for time series | via | Virtual Inspection Layers |
| Explainable and Generalizable Blind Image Quality Assessment | via | Semantic Attribute Reasoning |
| Explainable Neural Computation | via | Stack Neural Module Networks |
| ExplainGAN: Model Explanation | via | Decision Boundary Crossing Transformations |
| Explaining Deep Convolutional Neural Networks | via | Latent Visual-Semantic Filter Attention |
| Explaining Distributed Neural Activations | via | Unsupervised Learning |
| Explicit Facial Expression Transfer | via | Fine-Grained Representations |
| Explicit Model Size Control and Relaxation | via | Smooth Regularization for Mixed-Precision Quantization |
| Exploit Camera Raw Data for Video Super- Resolution | via | Hidden Markov Model Inference |
| Exploiting enhanced and robust RGB-D face representation | via | progressive multi-modal learning |
| Exploiting image translations | via | ensemble self-supervised learning for Unsupervised Domain Adaptation |
| Exploiting Images for Video Recognition: Heterogeneous Feature Augmentation | via | Symmetric Adversarial Learning |
| Exploiting Instance-based Mixed Sampling | via | Auxiliary Source Domain Supervision for Domain-adaptive Action Detection |
| Exploiting Multi-Scale Parallel Self-Attention and Local Variation | via | Dual-Branch Transformer-CNN Structure for Face Super-Resolution |
| Exploiting Multi-View Part-Wise Correlation | via | an Efficient Transformer for Vehicle Re-Identification |
| Exploiting Non-Local Priors | via | Self-Convolution for Highly-Efficient Image Restoration |
| Exploiting Pedestrian Interaction | via | Global Optimization and Social Behaviors |
| Exploiting Spatial-Temporal Locality of Tracking | via | Structured Dictionary Learning |
| Exploiting Spatial-Temporal Relationships for 3D Pose Estimation | via | Graph Convolutional Networks |
| Exploiting Static and Dynamic Human Joint Relations for 3D Pose Estimation | via | Cascade Transformers |
| Exploiting the relationships among several binary classifiers | via | data transformation |
| Exploiting Web Images for Fine-Grained Visual Recognition | via | Dynamic Loss Correction and Global Sample Selection |
| Exploiting Web Images for Semantic Video Indexing | via | Robust Sample-Specific Loss |
| Exploration into Single Image Super-Resolution | via | Self Similarity by Sparse Representation |
| Explore Adversarial Attack | via | Black Box Variational Inference |
| Explore Image Deblurring | via | Encoded Blur Kernel Space |
| Exploring Better Food Detection | via | Transfer Learning |
| Exploring Brain Hemodynamic Response Patterns | via | Deep Recurrent Autoencoder |
| Exploring Coherent Motion Patterns | via | Structured Trajectory Learning for Crowd Mood Modeling |
| Exploring Cross-Video Matching for Few-Shot Video Classification | via | Dual-Hierarchy Graph Neural Network Learning |
| Exploring Diversified Adversarial Robustness in Neural Networks | via | Robust Mode Connectivity |
| Exploring global diverse attention | via | pairwise temporal relation for video summarization |
| Exploring interactive attribute reduction | via | fuzzy complementary entropy for unlabeled mixed data |
| Exploring Racial Bias within Face Recognition | via | per-subject Adversarially-Enabled Data Augmentation |
| Exploring Self-Supervised Learning for Multi-Modal Remote Sensing Pre-Training | via | Asymmetric Attention Fusion |
| Exploring space-frequency co-occurrences | via | local quantized patterns for texture representation |
| Exploring Spatial Significance | via | Hybrid Pyramidal Graph Network for Vehicle Re-Identification |
| Exploring Spatial-Temporal Representations for fNIRS-based Intimacy Detection | via | an Attention-enhanced Cascade Convolutional Recurrent Neural Network |
| Exploring Structural Sparsity in CNN | via | Selective Penalty |
| Exploring Structural Sparsity of Deep Networks | via | Inverse Scale Spaces |
| Exploring the Equivalence of Siamese Self-Supervised Learning | via | A Unified Gradient Framework |
| Exploring the Influences of Point-of-Interest on Traffic Crashes during Weekdays and Weekends | via | Multi-Scale Geographically Weighted Regression |
| Exploring the Limits of Species Identification | via | a Convolutional Neural Network in a Complex Forest Scene through Simulated Imaging Spectroscopy |
| Exploring Versatile Prior for Human Motion | via | Motion Frequency Guidance |
| Exposing Face Forgery Clues | via | Retinex-based Image Enhancement |
| Exposing Semantic Segmentation Failures | via | Maximum Discrepancy Competition |
| Exposure bracketing | via | automatic exposure selection |
| Expression Robust 3D Face Recognition | via | Mesh-Based Histograms of Multiple Order Surface Differential Quantities |
| Expression-Aware Face Reconstruction | via | a Dual-Stream Network |
| Expression-Invariant Face Recognition | via | 3D Face Reconstruction Using Gabor Filter Bank from a 2D Single Image |
| Expression-Invariant Face Recognition | via | Spherical Embedding |
| Expressive Telepresence | via | Modular Codec Avatars |
| ExS-GAN: Synthesizing Anti-Forensics Images | via | Extra Supervised GAN |
| Extended Chirp Scaling-Baseband Azimuth Scaling-Based Azimuth: Range Decouple L_1 Regularization for TOPS SAR Imaging | via | CAMP |
| Extended compressed tracking | via | random projection based on MSERs and online LS-SVM learning |
| Extended CRC: Face Recognition with a Single Training Image per Person | via | Intraclass Variant Dictionary |
| Extended depth-of-field | via | focus stacking and graph cuts |
| Extended Social Force Model | via | Pedestrian Heterogeneity Affecting the Self-Driven Force, An |
| Extended SRC: Undersampled Face Recognition | via | Intraclass Variant Dictionary |
| Extended Watershed-Based AHP Model for Flood Hazard Estimation: Constraining Runoff Converging Indicators | via | MFD-Derived Sub-Watershed by Maximum Zonal Statistical Method, An |
| extensive study of user identification | via | eye movements across multiple datasets, An |
| External forces for active contours | via | multi-scale vector field convolution |
| Extracting Colored Noise Statistics in Time Series | via | Negentropy |
| Extracting Man-Made Objects From High Spatial Resolution Remote Sensing Images | via | Fast Level Set Evolutions |
| Extracting Motion and Appearance | via | Inter-Frame Attention for Efficient Video Frame Interpolation |
| Extracting Raft Aquaculture Areas from Remote Sensing Images | via | an Improved U-Net with a PSE Structure |
| Extracting salient contour groups from cluttered solar images | via | Markov Random Fields |
| Extracting Seasonal Signals in GNSS Coordinate Time Series | via | Weighted Nuclear Norm Minimization |
| Extracting the Principal Shape Components | via | Convex Programming |
| Extraction of 3D Unfoliaged Trees from Image Sequences | via | a Generative Statistical Approach |
| Extraction of Agricultural Fields | via | DASFNet with Dual Attention Mechanism and Multi-scale Feature Fusion in South Xinjiang, China |
| Extraction of line segments in cluttered images | via | multiscale edges |
| Extraction of Moving Object Descriptions | via | Differencing |
| Extraction of Noise Robust Rotation Invariant Texture Features | via | Multichannel Filtering |
| Extraction of Salient Contours | via | Excitatory-Inhibitory Interactions in the Visual Cortex |
| Extraction of traffic islands | via | active contours without edges |
| Extreme Network Compression | via | Filter Group Approximation |
| Extreme Relative Pose Estimation for RGB-D Scans | via | Scene Completion |
| Extreme-Quality Computational Imaging | via | Degradation Framework |
| Extremely High-Dimensional Feature Selection | via | Feature Generating Samplings |
| Eye finding | via | face detection for a foveated, active vision system |
| Eye Fixation Assisted Video Saliency Detection | via | Total Variation-Based Pairwise Interaction |
| Eye landmarks detection | via | two-level cascaded CNNs with multi-task learning |
| Eye landmarks detection | via | weakly supervised learning |
| F-CAM: Full Resolution Class Activation Maps | via | Guided Parametric Upscaling |
| FabSoften: Face Beautification | via | Dynamic Skin Smoothing, Guided Feathering, and Texture Restoration |
| FAC: 3D Representation Learning | via | Foreground Aware Feature Contrast |
| Facade Labeling | via | Explicit Matrix Factorization |
| FacadeNet: Conditional Facade Synthesis | via | Selective Editing |
| Face Alignment across Large Pose | via | MT-CNN Based 3D Shape Reconstruction |
| Face Alignment at 3000 FPS | via | Regressing Local Binary Features |
| Face alignment | via | boosted ranking model |
| Face Alignment | via | Component-Based Discriminative Search |
| Face alignment | via | joint-AAM |
| Face Alignment | via | Regressing Local Binary Features |
| Face anti-spoofing | via | deep local binary patterns |
| Face Anti-spoofing | via | Disentangled Representation Learning |
| Face biometric quality assessment | via | light CNN |
| Face Clustering | via | Graph Convolutional Networks with Confidence Edges |
| Face De-spoofing: Anti-spoofing | via | Noise Modeling |
| Face Hallucination | via | Coarse-to-Fine Recursive Kernel Regression Structure |
| Face hallucination | via | K-selection mean constrained sparse representation |
| Face Hallucination | via | Similarity Constraints |
| Face hallucination | via | sparse coding |
| Face Hallucination | via | Weighted Adaptive Sparse Regularization |
| Face Identification and Verification | via | ECOC |
| Face Image Super-Resolution | via | K-NN Regularized Collaborative Representation with Importance Reweighting |
| Face image super-resolution | via | sparse representation and wavelet transform |
| Face image super-resolution | via | weighted patches regression |
| Face Inverse Rendering | via | Hierarchical Decoupling |
| Face Landmark Fitting | via | Optimized Part Mixtures and Cascaded Deformable Model |
| Face Liveness Detection From a Single Image | via | Diffusion Speed Model |
| Face localization | via | hierarchical Condensation with Fisher boosting feature selection |
| Face Photo Synthesis | via | Intermediate Semantic Enhancement Generative Adversarial Network |
| Face Photo-Sketch Synthesis | via | Domain-Invariant Feature Embedding |
| Face photo-sketch synthesis | via | full-scale identity supervision |
| Face recognition across large pose variations | via | Boosted Tied Factor Analysis |
| Face recognition against occlusions | via | colour fusion using 2D-MCF model and SRC |
| Face recognition by sparse discriminant analysis | via | joint L2,1-norm minimization |
| Face Recognition in Movie Trailers | via | Mean Sequence Sparse Representation-Based Classification |
| Face Recognition Under Low Illumination | via | Deep Feature Reconstruction Network |
| Face Recognition | via | AAM and Multi-features Fusion on Riemannian Manifolds |
| Face recognition | via | adaptive discriminant clustering |
| Face Recognition | via | Archetype Hull Ranking |
| Face Recognition | via | Collaborative Representation: Its Discriminant Nature and Superposed Representation |
| Face Recognition | via | Curvelets and Local Ternary Pattern-Based Features |
| Face recognition | via | local sparse coding |
| Face recognition | via | Weighted Sparse Representation |
| Face Recognition with Image Misalignment | via | Structure Constraint Coding |
| Face Recognition With Pose Variations and Misalignment | via | Orthogonal Procrustes Regression |
| Face reenactment | via | generative landmark guidance |
| Face Restoration | via | Plug-and-Play 3D Facial Priors |
| Face sketch aging | via | aging oriented principal component analysis |
| Face Sketch Matching | via | Coupled Deep Transform Learning |
| Face Sketch Synthesis | via | Sparse Representation |
| Face Sketch Synthesis | via | Sparse Representation-Based Greedy Search |
| Face spoofing detection ensemble | via | multistage optimisation and pruning |
| Face super-resolution | via | bilayer contextual representation |
| Face Super-Resolution | via | Multilayer Locality-Constrained Iterative Neighbor Embedding and Intermediate Dictionary Learning |
| Face Verification | via | Class Sparsity Based Supervised Encoding |
| Face Verification | via | ECOC |
| Face Verification | via | Error Correcting Output Codes |
| Face Verification with Disguise Variations | via | Deep Disguise Recognizer |
| Face video retrieval with image query | via | hashing across Euclidean space and Riemannian manifold |
| Face-Periocular Cross-Identification | via | Contrastive Hybrid Attention Vision Transformer |
| Faces a la Carte: Text-to-Face Generation | via | Attribute Disentanglement |
| Faces as Lighting Probes | via | Unsupervised Deep Highlight Extraction |
| Facial Action Recognition Combining Heterogeneous Features | via | Multikernel Learning |
| Facial Action Unit Detection | via | Adaptive Attention and Relation |
| Facial age estimation | via | extended curvature Gabor filter |
| Facial aging simulation | via | tensor completion and metric learning |
| Facial Contour Labeling | via | Congealing |
| Facial depth map enhancement | via | neighbor embedding |
| Facial Expression Guided Diagnosis of Parkinson's Disease | via | High-Quality Data Augmentation |
| Facial Expression Recognition in the Wild | via | Deep Attentive Center Loss |
| Facial Expression Recognition | via | a Boosted Deep Belief Network |
| Facial Expression Recognition | via | Joint Deep Learning of RGB-Depth Map Latent Representations |
| Facial expression recognition | via | region-based convolutional fusion network |
| Facial Expression Recognition | via | Regression-Based Robust Locality Preserving Projections |
| Facial Expression Recognition | via | Sparse Representation |
| Facial expression recognition | via | sparse representation using positive and reverse templates |
| Facial expression recognition with convolutional neural networks | via | a new face cropping and rotation strategy |
| Facial feature parsing and landmark detection | via | low-rank matrix decomposition |
| Facial Geometric Detail Recovery | via | Implicit Representation |
| Facial landmark detection | via | cascade multi-channel convolutional neural network |
| Facial landmark detection | via | pose-induced auto-encoder networks |
| Facial Landmark Detection | via | Progressive Initialization |
| Facial landmark localization | via | boosted and adaptive filters |
| Facial makeup detection | via | selected gradient orientation of entropy information |
| Facial Shape Tracking | via | Spatio-Temporal Cascade Shape Regression |
| Facial Video-Based Remote Physiological Measurement | via | Self-Supervised Learning |
| Facilitating Construction Scene Understanding Knowledge Sharing and Reuse | via | Lifelong Site Object Detection |
| Facilitation of air traffic control | via | optical character recognition-based aircraft registration number extraction |
| Factorization Method for Projective and Euclidean Reconstruction from Multiple Perspective Views | via | Iterative Depth Estimation, A |
| Factorization Method Using Interpolated Feature Tracking | via | Projective Geometry |
| Fair Federated Medical Image Segmentation | via | Client Contribution Estimation |
| Fairdisco: Fairer AI in Dermatology | via | Disentanglement Contrastive Learning |
| Faithful Extreme Rescaling | via | Generative Prior Reciprocated Invertible Representations |
| Fake face detection | via | adaptive manipulation traces extraction network |
| Fake Generated Painting Detection | via | Frequency Analysis |
| False Correspondence Removal | via | Revisiting Semantic Context with Position-Attentive Learning |
| False Discovery Rate Control in Magnetic Resonance Imaging Studies | via | Markov Random Fields |
| Farther the Better: Balanced Stereo Matching | via | Depth-Based Sampling and Adaptive Feature Refinement, The |
| Fashion Retrieval | via | Graph Reasoning Networks on a Similarity Pyramid |
| FashionNTM: Multi-turn Fashion Image Retrieval | via | Cascaded Memory |
| Fast 2-D DCT Algorithm | via | Distributed Arithmetic Optimization, A |
| Fast 3D Blind Seismic Deconvolution | via | Constrained Total Variation and GCV |
| Fast Acquisition and Reconstruction of Optical Coherence Tomography Images | via | Sparse Representation |
| Fast Action Detection | via | Discriminative Random Forest Voting and Top-K Subvolume Search |
| Fast Action Retrieval from Videos | via | Feature Disaggregation |
| Fast Adaptation to Super-resolution Networks | via | Meta-learning |
| Fast Analysis of C-Scans From Ground Penetrating Radar | via | 3-D Haar-Like Features With Application to Landmine Detection |
| Fast and Accurate Craniomaxillofacial Landmark Detection | via | 3D Faster R-CNN |
| Fast and Accurate Head Pose Estimation | via | Random Projection Forests |
| Fast and Accurate Matrix Completion | via | Truncated Nuclear Norm Regularization |
| Fast and Accurate Online Video Object Segmentation | via | Tracking Parts |
| Fast and Accurate Scene Parsing | via | Bi-Direction Alignment Networks |
| Fast and Accurate Single Image Super-Resolution | via | Information Distillation Network |
| Fast and Accurate Spectrum Estimation | via | Virtual Coarray Interpolation Based on Truncated Nuclear Norm Regularization |
| Fast and Efficient DNN Deployment | via | Deep Gaussian Transfer Learning |
| Fast and Efficient Image Quality Enhancement | via | Desubpixel Convolutional Neural Networks |
| Fast and Efficient Pedestrian Detection | via | the Cascade Implementation of an Additive Kernel Support Vector Machine |
| Fast and Flexible Image Blind Denoising | via | Competition of Experts |
| Fast and Flexible Indoor Scene Synthesis | via | Deep Convolutional Generative Models |
| Fast and High Quality Image Denoising | via | Malleable Convolution |
| Fast and Optimal Block Motion Estimation | via | Adaptive Successive Elimination |
| Fast and robust face recognition | via | coding residual map learning based adaptive masking |
| Fast and robust object tracking | via | Accept-Reject color histogram-based method |
| Fast and Robust Object Tracking | via | Probability Continuous Outlier Model |
| Fast Approximate Energy Minimization | via | Graph Cuts |
| Fast approximate k-means | via | cluster closures |
| Fast Approximation of Non-Negative Sparse Recovery | via | Deep Learning |
| Fast Bayesian Compressed Sensing Algorithm | via | Relevance Vector Machine for LASAR 3D Imaging |
| Fast binary embedding | via | circulant downsampled matrix |
| Fast Bistatic ISAR Imaging Approach for Rapidly Spinning Targets | via | Exploiting SAR Technique, A |
| Fast Camouflaged Object Detection | via | Edge-based Reversible Re-calibration Network |
| Fast common visual pattern detection | via | radiate geometric model |
| Fast CU Partition for VVC Intra-Frame Coding | via | Texture Complexity |
| Fast data reduction by space partitioning | via | convex hull and MBR computation |
| Fast Diffeomorphic Image Registration | via | Fourier-Approximated Lie Algebras |
| Fast Extraction of 3D Fourier Moments | via | Multiple Integral Images: An Application to Antitank Mine Detection in GPR C-Scans |
| Fast face detection | via | morphology-based pre-processing |
| Fast Face Sketch Synthesis | via | KD-Tree Search |
| Fast Facial Image Super-Resolution | via | Local Linear Transformations for Resource-Limited Applications |
| Fast Fine-Grained Image Classification | via | Weakly Supervised Discriminative Localization |
| Fast General Norm Approximation | via | Iteratively Reweighted Least Squares |
| Fast Global Motion Estimation | via | Iterative Least-Square Method |
| Fast Graph Generation | via | Spectral Diffusion |
| Fast ground filtering for TLS data | via | Scanline Density Analysis |
| Fast Human Pose Estimation using Appearance and Motion | via | Multi-Dimensional Boosting Regression |
| Fast Hyperspectral Anomaly Detection | via | High-Order 2-D Crossing Filter |
| Fast Hyperspectral Anomaly Detection | via | SVDD |
| Fast Hyperspectral Image Recovery of Dual-Camera Compressive Hyperspectral Imaging | via | Non-Iterative Subspace-Based Fusion |
| Fast Hyperspectral Tracking Method | via | Channel Selection, A |
| Fast Hyperspectral Unmixing | via | Reweighted Sparse Regression |
| Fast Image and Video Denoising | via | Nonlocal Means of Similar Neighborhoods |
| Fast Image Interpolation | via | Random Forests |
| Fast image retargeting | via | axis-aligned importance scaling |
| Fast image super resolution | via | local regression |
| Fast Image Super-Resolution | via | Local Adaptive Gradient Field Sharpening Transform |
| Fast image super-resolution | via | multiple directional transforms |
| Fast image super-resolution | via | selective manifold learning of high-resolution patches |
| Fast Image Upsampling | via | the Displacement Field |
| Fast Inverse-Free Sparse Bayesian Learning | via | Relaxed Evidence Lower Bound Maximization |
| Fast kernel SVM training | via | support vector identification |
| Fast Key-Word Searching | via | Embedding and Active-DTW |
| Fast L1 Gaussian convolution | via | domain splitting |
| Fast landmark-based registration | via | deterministic and efficient processing, some preliminary results |
| Fast Large-Scale Spectral Clustering | via | Explicit Feature Mapping |
| Fast Light Field Disparity Estimation | via | a Parallel Filtered Cost Volume Approach |
| Fast main density peak clustering within relevant regions | via | a robust decision graph |
| Fast matching | via | ergodic markov chain for super-large graphs |
| Fast mode dependent directional transform | via | butterfly-style transform and integer lifting steps |
| Fast Model Predictive Control for Urban Road Networks | via | MILP |
| Fast Monocular Depth Estimation | via | Side Prediction Aggregation with Continuous Spatial Refinement |
| Fast MR image reconstruction with orthogonal wavelet regularization | via | shift-variant shrinkage |
| Fast Multi-image Matching | via | Density-Based Clustering |
| Fast multi-spectral image super-resolution | via | sparse representation |
| Fast Multi-View Clustering | via | Nonnegative and Orthogonal Factorization |
| Fast multiple instance learning | via | L1,2 logistic regression |
| Fast Multiple Object Tracking | via | a Hierarchical Particle Filter |
| Fast Narrowband RFI Suppression Algorithms for SAR Systems | via | Matrix-Factorization Techniques |
| Fast Nearest Subspace Search | via | Random Angular Hashing |
| Fast Neural Architecture Search of Compact Semantic Segmentation Models | via | Auxiliary Cells |
| Fast Object Class Labelling | via | Speech |
| Fast online graph clustering | via | Erdos-Renyi mixture |
| Fast Orthogonal Haar Transform Pattern Matching | via | Image Square Sum |
| Fast Parallel MR Image Reconstruction | via | B1-Based, Adaptive Restart, Iterative Soft Thresholding Algorithms (BARISTA) |
| Fast Pedestrian Detection | via | Random Projection Features with Shape Prior |
| Fast Person Re-identification | via | Cross-Camera Semantic Binary Transformation |
| Fast planar object detection and tracking | via | edgel templates |
| Fast point cloud compression | via | reversible cellular automata block transform |
| Fast Pose Graph Optimization | via | Krylov-Schur and Cholesky Factorization |
| Fast principal component pursuit | via | alternating minimization |
| Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements | via | Preconditioning |
| Fast reconstruction of fluorescence molecular tomography | via | a permissible region extraction strategy |
| Fast Rigid Motion Segmentation | via | Incrementally-Complex Local Models |
| Fast Robust Matrix Completion | via | Entry-Wise l0-Norm Minimization |
| Fast Robust Tensor Principal Component Analysis | via | Fiber CUR Decomposition |
| Fast SAR Image Segmentation | via | Merging Cost With Relative Common Boundary Length Penalty |
| Fast Segmentation | via | Randomized Hashing |
| Fast semi-global stereo matching | via | extracting disparity candidates from region boundaries |
| Fast Signal Separation of 2-D Sparse Mixture | via | Approximate Message-Passing |
| Fast Single Image Dehazing | via | Positive Correlation |
| Fast Single Image Reflection Suppression | via | Convex Optimization |
| Fast single image SR | via | dictionary learning |
| Fast Single Image Super-Resolution | via | Self-Example Learning and Sparse Representation |
| Fast Single-Image Super-Resolution | via | Deep Network With Component Learning |
| fast single-image super-resolution | via | directional edge-guided regularized extreme learning regression, A |
| Fast Single-Step Least-Squares Reverse-Time Imaging | via | Adaptive Matching Filters in Beams |
| Fast Skin Lesion Segmentation | via | Fully Convolutional Network with Residual Architecture and CRF |
| Fast Sparse Aperture ISAR Autofocusing and Imaging | via | ADMM Based Sparse Bayesian Learning |
| Fast Spin Echo Imaging-Based Electric Property Tomography With K-Space Weighting | via | T_2 Relaxation (rEPT) |
| Fast sub-pel motion vector prediction | via | block classification |
| Fast Subspace Search | via | Grassmannian Based Hashing |
| Fast Super-Resolution | via | Dense Local Training and Inverse Regressor Search |
| Fast Superpixel Segmentation | via | Boundary Sampling and Interpolation |
| Fast support vector machine training | via | three-term conjugate-like SMO algorithm |
| Fast Target Localization in FMCW-MIMO Radar with Low SNR and Snapshot | via | Multi-DeepNet |
| Fast Target Localization Method for FMCW MIMO Radar | via | VDSR Neural Network |
| Fast Texture Synthesis | via | Pseudo Optimizer |
| Fast Thick Cloud Removal for Multi-Temporal Remote Sensing Imagery | via | Representation Coefficient Total Variation |
| Fast tracking | via | context depth model learning |
| Fast Traffic Sign Recognition | via | High-Contrast Region Extraction and Extended Sparse Representation |
| Fast traumatic brain injury CT slice indexing | via | anatomical feature classification |
| Fast two-stage segmentation | via | non-local active contours in multiscale texture feature space |
| Fast User-Guided Single Image Reflection Removal | via | Edge-Aware Cascaded Networks |
| Fast Vehicle Routing | via | Knowledge Transfer in a Reproducing Kernel Hilbert Space |
| Fast Video Classification | via | Adaptive Cascading of Deep Models |
| Fast Video Instance Segmentation | via | Recurrent Encoder-based Transformers |
| Fast video object detection | via | multiple background modeling |
| Fast Video Object Segmentation | via | Dynamic Targeting Network |
| Fast Video Saliency Detection | via | Maximally Stable Region Motion and Object Repeatability |
| Fast video super-resolution | via | approximate nearest neighbor search |
| Fast video super-resolution | via | classification |
| Fast visual object counting | via | example-based density estimation |
| Fast Visual Tracking | via | Dense Spatio-temporal Context Learning |
| fast VQ codebook generation algorithm | via | pattern reduction, A |
| Fast(er) Reconstruction of Shredded Text Documents | via | Self-Supervised Deep Asymmetric Metric Learning |
| Fast, Accurate Rate-Control for Low-Rate Wavelet-Based Image Coding | via | Bootstrapping with Local Probability Models |
| Fast, automatic and fine-grained tampered JPEG image detection | via | DCT coefficient analysis |
| Fast-Convergent Federated Learning | via | Cyclic Aggregation |
| FastAno: Fast Anomaly Detection | via | Spatio-temporal Patch Transformation |
| Faster Fuzzy Connectedness | via | Precomputation |
| Faster graph-theoretic image processing | via | small-world and quadtree topologies |
| Faster learning | via | optimised adaboost |
| Faster Similarity Search For Multimedia Data | via | Query Transformations |
| Faster SVM training | via | conjugate SMO |
| Faster training of very deep networks | via | p-norm gates |
| FastRecon: Few-shot Industrial Anomaly Detection | via | Fast Feature Reconstruction |
| FastSCCNet: Fast Mode Decision in VVC Screen Content Coding | via | Fully Convolutional Network |
| Fatigue driving recognition network: fatigue driving recognition | via | convolutional neural network and long short-term memory units |
| Fault Detection | via | 2.5D Transformer U-Net with Seismic Data Pre-Processing |
| Fault detection | via | recurrence time statistics and one-class classification |
| Fault-Tolerant Control for Unmanned Marine Vehicles | via | Quantized Integral Sliding Mode Output Feedback Technique |
| FBNet: Hardware-Aware Efficient ConvNet Design | via | Differentiable Neural Architecture Search |
| FDBP-InSAR: An Efficient Algorithm for InSAR Imaging | via | Frequency Domain Back Projection |
| Feasibility of Estimating Turbulent Heat Fluxes | via | Variational Assimilation of Reference-Level Air Temperature and Specific Humidity Observations |
| Feasibility Study of Nearshore Bathymetry Estimation | via | Short-Range K-Band MIMO Radar, A |
| FeatER: An Efficient Network for Human Reconstruction | via | Feature Map-Based TransformER |
| Feature Aggregation | via | Attention Mechanism for Visible-Thermal Person Re-Identification |
| Feature coding | via | vector difference for image classification |
| Feature correspondence and deformable object matching | via | agglomerative correspondence clustering |
| Feature Correspondence | via | Graph Matching: Models and Global Optimization |
| Feature Decoupled Knowledge Distillation | via | Spatial Pyramid Pooling |
| Feature Detection | via | Linear Contrast Techniques |
| Feature discovering for image classification | via | wavelet-like pattern decomposition |
| Feature Extraction and Selection | via | Robust Discriminant Analysis and Class Sparsity |
| Feature Extraction of 2D Radar Profile | via | Double-Sides 2DPCA for Target Recognition |
| Feature Extraction | via | 3-D Block Characteristics Sharing for Hyperspectral Image Classification |
| Feature Extraction | via | Multi-View Non-Negative Matrix Factorization with Local Graph Regularization |
| Feature fusion | via | dual-resolution compressive measurement matrix analysis for spectral image classification |
| Feature Integration | via | Back-Projection Ordering Multi-Modal Gaussian Process Latent Variable Model for Rating Prediction |
| Feature Integration | via | Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment |
| Feature learning | via | partial differential equation with applications to face recognition |
| Feature Matching for Remote-Sensing Image Registration | via | Neighborhood Topological and Affine Consistency |
| Feature Matching | via | Motion-Consistency Driven Probabilistic Graphical Model |
| Feature Modulation Transformer: Cross-Refinement of Global Representation | via | High-Frequency Prior for Image Super-Resolution |
| Feature Normalization | via | Expectation Maximization and Unsupervised Nonparametric Classification For M-FISH Chromosome Images |
| Feature refinement for image-based driver action recognition | via | multi-scale attention convolutional neural network |
| Feature selection for multiclass discrimination | via | mixed-integer linear programming |
| Feature selection from high-order tensorial data | via | sparse decomposition |
| Feature selection | via | binary simultaneous perturbation stochastic approximation |
| Feature Selection | via | Cramer's V-Test Discretization for Remote-Sensing Image Classification |
| Feature selection | via | decision tree surrogate splits |
| Feature Selection | via | Incorporating Stiefel Manifold in Relaxed K-Means |
| Feature selection | via | simultaneous sparse approximation for person specific face verification |
| Feature space based image segmentation | via | density modification |
| Feature Space Independent Semi-Supervised Domain Adaptation | via | Kernel Matching |
| Feature subspaces selection | via | one-class SVM: Application to textured image segmentation |
| Feature Tracking Cardiac Magnetic Resonance | via | Deep Learning and Spline Optimization |
| Feature Weighting | via | Optimal Thresholding for Video Analysis |
| Feature-Enhanced Speckle Reduction | via | Low-Rank and Space-Angle Continuity for Circular SAR Target Recognition |
| Feature-Extraction for Texture-Discrimination | via | Random-Field Models with Random Spatial Interaction |
| FeatureFlow: Robust Video Interpolation | via | Structure-to-Texture Generation |
| Features Guided Face Super-Resolution | via | Hybrid Model of Deep Learning and Random Forests |
| FedDC: Federated Learning with Non-IID Data | via | Local Drift Decoupling and Correction |
| FedDG: Federated Domain Generalization on Medical Image Segmentation | via | Episodic Learning in Continuous Frequency Space |
| FedDM: Federated Weakly Supervised Segmentation | via | Annotation Calibration and Gradient De-Conflicting |
| Federated Domain Adaptation | via | Transformer for Multi-Site Alzheimer's Disease Diagnosis |
| Federated Domain Generalization for Image Recognition | via | Cross-Client Style Transfer |
| Federated Learning for Non-IID Data | via | Unified Feature Learning and Optimization Objective Alignment |
| Federated Learning | via | Inexact ADMM |
| Federated Semi-Supervised Medical Image Segmentation | via | Prototype-Based Pseudo-Labeling and Contrastive Learning |
| FedOSS: Federated Open Set Recognition | via | Inter-Client Discrepancy and Collaboration |
| FESTA: Flow Estimation | via | Spatial-Temporal Attention for Scene Point Clouds |
| Few shot font generation | via | transferring similarity guided global style and quantization local style |
| Few Shot Generative Model Adaption | via | Relaxed Spatial Structural Alignment |
| Few Shot Object Detection for SAR Images | via | Feature Enhancement and Dynamic Relationship Modeling |
| Few views image reconstruction using alternating direction method | via | L0-norm minimization |
| Few-Shot Batch Incremental Road Object Detection | via | Detector Fusion |
| Few-Shot Calibration of Set Predictors | via | Meta-Learned Cross-Validation-Based Conformal Prediction |
| Few-Shot Class-Incremental Learning | via | Class-Aware Bilateral Distillation |
| Few-Shot Class-Incremental Learning | via | Compact and Separable Features for Fine-Grained Vehicle Recognition |
| Few-Shot Class-Incremental Learning | via | Entropy-Regularized Data-Free Replay |
| Few-Shot Classification of Aerial Scene Images | via | Meta-Learning |
| Few-Shot Common Action Localization | via | Cross-Attentional Fusion of Context and Temporal Dynamics |
| Few-Shot Dataset Distillation | via | Translative Pre-Training |
| Few-Shot Domain Adaptation | via | Mixup Optimal Transport |
| Few-Shot End-to-End Object Detection | via | Constantly Concentrated Encoding Across Heads |
| Few-shot forgery detection | via | Guided Adversarial Interpolation |
| Few-Shot Generalization for Single-Image 3D Reconstruction | via | Priors |
| Few-Shot Generative Model Adaptation | via | Style-Guided Prompt |
| Few-Shot Human Motion Prediction | via | Meta-learning |
| Few-Shot Image and Sentence Matching | via | Aligned Cross-Modal Memory |
| Few-shot Image Generation | via | Cross-domain Correspondence |
| Few-Shot Learning of Compact Models | via | Task-Specific Meta Distillation |
| Few-Shot Learning | via | Embedding Adaptation With Set-to-Set Functions |
| Few-Shot Learning | via | Feature Hallucination with Variational Inference |
| Few-Shot Learning | via | Saliency-Guided Hallucination of Samples |
| Few-shot learning | via | weighted prototypes from graph structure |
| Few-Shot Object Detection in Remote Sensing Imagery | via | Fuse Context Dependencies and Global Features |
| Few-Shot Object Detection on Remote Sensing Images | via | Shared Attention Module and Balanced Fine-Tuning Strategy |
| Few-shot object detection | via | baby learning |
| Few-Shot Object Detection | via | Classification Refinement and Distractor Retreatment |
| Few-Shot Object Detection | via | Feature Reweighting |
| Few-shot Object Detection | via | Improved Classification Features |
| Few-Shot Physically-Aware Articulated Mesh Generation | via | Hierarchical Deformation |
| Few-Shot SAR Target Classification | via | Metalearning |
| Few-Shot Segmentation | via | Divide-and-Conquer Proxies |
| Few-Shot Semantic Segmentation | via | Frequency Guided Neural Network |
| Few-shot symbol classification | via | self-supervised learning and nearest neighbor |
| Few-Shot Temporal Sentence Grounding | via | Memory-Guided Semantic Learning |
| Few-Shot Text Style Transfer | via | Deep Feature Similarity |
| Few-Shot Video Classification | via | Representation Fusion and Promotion Learning |
| Few-Shot Video Classification | via | Temporal Alignment |
| Few-shot Weakly-Supervised Object Detection | via | Directional Statistics |
| FFM: Injecting Out-of-Domain Knowledge | via | Factorized Frequency Modification |
| FFNet: Video Fast-Forwarding | via | Reinforcement Learning |
| FFTI: Image inpainting algorithm | via | features fusion and two-steps inpainting |
| Fg-T2M: Fine-Grained Text-Driven Human Motion Generation | via | Diffusion Model |
| FIANCEE: Faster Inference of Adversarial Networks | via | Conditional Early Exits |
| Fidelity or Quality? A Region-Aware Framework for Enhanced Image Decoding | via | Hybrid Neural Networks |
| Fighting Fake News: Image Splice Detection | via | Learned Self-Consistency |
| Figure/ground video segmentation | via | low-rank sparse learning |
| Filter Pruning | via | Automatic Pruning Rate Search |
| Filter Pruning | via | Feature Discrimination in Deep Neural Networks |
| Filter Pruning | via | Geometric Median for Deep Convolutional Neural Networks Acceleration |
| Filter Pruning | via | Softmax Attention |
| Filtration Simplification for Persistent Homology | via | Edge Contraction |
| Finding Correspondence from Multiple Images | via | Sparse and Low-Rank Decomposition |
| Finding Disaster Victims: Robot-Assisted 3D Mapping of Urban Search and Rescue Environments | via | Landmark Identification |
| Finding Fallen Objects | via | Asynchronous Audio-Visual Integration |
| Finding Low-Rank Solutions | via | Nonconvex Matrix Factorization, Efficiently and Provably |
| Finding Mirror Symmetry | via | Registration and Optimal Symmetric Pairwise Assignment of Curves |
| Finding Mirror Symmetry | via | Registration and Optimal Symmetric Pairwise Assignment of Curves: Algorithm and Results |
| Finding of Optimal Binary Morphological Erosion Filter | via | Greedy and Branch-and-Bound Searching |
| Finding the Right Moment: Human-Assisted Trailer Creation | via | Task Composition |
| Finding Vanishing Points | via | Point Alignments in Image Primal and Dual Domains |
| Fine Surveying and 3D Modeling Approach for Wooden Ancient Architecture | via | Multiple Laser Scanner Integration |
| Fine-grained bird species recognition | via | hierarchical subset learning |
| Fine-grained categorization | via | CNN-based automatic extraction and integration of object-level and part-level features |
| Fine-Grained Classification | via | Categorical Memory Networks |
| Fine-grained classification | via | mixture of deep convolutional neural networks |
| Fine-Grained Face Editing | via | Personalized Spatial-Aware Affine Modulation |
| Fine-Grained Face Swapping | via | Regional GAN Inversion |
| Fine-grained facial expression recognition | via | relational reasoning and hierarchical relation optimization |
| Fine-grained Foreground Retrieval | via | Teacher-Student Learning |
| Fine-Grained Generalized Zero-Shot Learning | via | Dense Attribute-Based Attention |
| Fine-grained histopathological image analysis | via | robust segmentation and large-scale retrieval |
| Fine-Grained Image Classification | via | Combining Vision and Language |
| Fine-Grained Image Retrieval | via | Piecewise Cross Entropy loss |
| Fine-grained Image-text Retrieval | via | Complementary Feature Learning |
| Fine-Grained Image-Text Retrieval | via | Discriminative Latent Space Learning |
| Fine-Grained Large-Scale Vulnerable Communities Mapping | via | Satellite Imagery and Population Census Using Deep Learning |
| Fine-Grained Object Classification | via | Self-Supervised Pose Alignment |
| Fine-Grained Traffic Flow Prediction of Various Vehicle Types | via | Fusion of Multisource Data and Deep Learning Approaches |
| Fine-Grained Video Captioning | via | Graph-based Multi-Granularity Interaction Learning |
| Fine-grained visual categorization | via | multi-stage metric learning |
| Fine-Grained Visual Classification | via | Internal Ensemble Learning Transformer |
| Fine-grained Visual Classification | via | Progressive Multi-granularity Training of Jigsaw Patches |
| Fine-structured object segmentation | via | local and nonlocal neighborhood propagation |
| Fine-structured object segmentation | via | neighborhood propagation |
| Fine-tuning Global Model | via | Data-Free Knowledge Distillation for Non-IID Federated Learning |
| Fingerprint Biometrics | via | Low-cost Sensors and Webcams |
| Fingerprint sensor classification | via | Melange of handcrafted features |
| Fingerprinting Codes for Live Pay-Television Broadcast | via | Internet |
| Fingerprinting Deep Neural Networks Globally | via | Universal Adversarial Perturbations |
| First Person Action Recognition | via | Two-stream ConvNet with Long-term Fusion Pooling |
| FishDreamer: Towards Fisheye Semantic Completion | via | Unified Image Outpainting and Segmentation |
| FisherMatch: Semi-Supervised Rotation Regression | via | Entropy-based Filtering |
| Fitting Multiple Models | via | Density Analysis in Tanimoto Space |
| Fitting Spatial-Temporal Data | via | a Physics Regularized Multi-Output Grid Gaussian Process: Case Studies of a Bike-Sharing System |
| Fixed order stabilizing controller design | via | random reflection segments |
| Fixed Points of Belief Propagation: An Analysis | via | Polynomial Homotopy Continuation |
| Flash Compensated Low-Light Enhancement | via | Hierarchical Network Prediction |
| FLeak-Seg: Automated Fundus Fluorescein Leakage Segmentation | via | Cross-Modal Attention Learning |
| Flexible Heterogeneous Multicore Architectures for Versatile Media Processing | via | Customized Long Instruction Words |
| Floating Xylene Spill Segmentation from Ultraviolet Images | via | Target Enhancement |
| FLODCAST: Flow and depth forecasting | via | multimodal recurrent architectures |
| Fluorescence Microscopy Images Denoising | via | Deep Convolutional Sparse Coding |
| FM Halftoning | via | Block Error Diffusion |
| FMRI group studies of brain connectivity | via | a group robust Lasso |
| FNA++: Fast Network Adaptation | via | Parameter Remapping and Architecture Search |
| Focal Length and Object Pose Estimation | via | Render and Compare |
| Focus Manipulation Detection | via | Photometric Histogram Analysis |
| Focus on Local: Detecting Lane Marker from Bottom Up | via | Key Point |
| Focused Detection | via | Multiresolution Analysis |
| Focused Synthetic Aperture Radar Processing of Ice-Sounding Data Collected Over the East Antarctic Ice Sheet | via | the Modified Range Migration Algorithm Using Curvelets |
| FoldingNet: Point Cloud Auto-Encoder | via | Deep Grid Deformation |
| Folk Dance Pattern Recognition Over Depth Images Acquired | via | Kinect Sensor |
| Font Recognition in Natural Images | via | Transfer Learning |
| FontTransformer: Few-shot high-resolution Chinese glyph image synthesis | via | stacked transformers |
| Fooling LiDAR Perception | via | Adversarial Trajectory Perturbation |
| Forecasting from LiDAR | via | Future Object Detection |
| Forecasting Irreversible Disease | via | Progression Learning |
| Foreground Detection by Robust PCA Solved | via | a Linearized Alternating Direction Method |
| Foreground Detection | via | Robust Low Rank Matrix Decomposition Including Spatio-Temporal Constraint |
| Foreground detection | via | robust low rank matrix factorization including spatial constraint with Iterative reweighted regression |
| Foreground Extraction of Underwater Videos | via | Sparse and Low-Rank Matrix Decomposition |
| Foreground extraction | via | dual-side cameras on a mobile device using long short-term trajectory analysis |
| Foreground Segmentation | via | Background Modeling on Riemannian Manifolds |
| Foreground Segmentation | via | Dynamic Programming |
| Foreground Segmentation | via | Dynamic Tree-Structured Sparse RPCA |
| Foreground-Background Separation From Video Clips | via | Motion-Assisted Matrix Restoration |
| Foreign object detection | via | texture analysis |
| Foreign Shadow Robust Makeup Transfer | via | Hierarchical Deep Aggregation and Disentangled Representation |
| Forensic Analysis of JPEG-Domain Enhanced Images | via | Coefficient Likelihood Modeling |
| Forest Change Detection | via | Landsat TM Difference Features |
| Forest Vertical Structure Mapping Using Multi-Seasonal UAV Images and Lidar Data | via | Modified U-Net Approaches |
| Forestry Scene Geometry Estimation | via | Statistical Learning |
| Formation Tracking Control for Heterogeneous Multiagent Systems With Multiple Nonautonomous Leaders | via | Dynamic Event-Triggered Mechanisms |
| Forward-Looking Ground-Penetrating Radar | via | a Linear Inverse Scattering Approach |
| Forward-Looking Super-Resolution Imaging of MIMO Radar | via | Sparse and Double Low-Rank Constraints |
| Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan | via | Deep Learning |
| Fourier Phase Retrieval With Extended Support Estimation | via | Deep Neural Network |
| FPB: Improving Multi-Scale Feature Representation Inside Convolutional Layer | via | Feature Pyramid Block |
| Fractional cycle spinning | via | modulated lapped transform for overcomplete image representation |
| Fragment Grouping | via | the Principle of Perceptual Occlusion |
| Fragmentary label distribution learning | via | graph regularized maximum entropy criteria |
| Frame Bit Allocation for the H.264/AVC Video Coder | via | Cauchy-Density-Based Rate and Distortion Models |
| Frame Interpolation | via | Refined Deep Voxel Flow |
| Frame rate up conversion | via | image fusion based on variational approach |
| Frame-wise Action Representations for Long Videos | via | Sequence Contrastive Learning |
| Framework for Distributed LEO SAR Air Moving Target 3D Imaging | via | Spectral Estimation, A |
| Framework for Indoor Elements Classification | via | Inductive Learning on Floor Plan Graphs |
| framework for large-scale mapping of human settlement extent from Sentinel-2 images | via | fully convolutional neural networks, A |
| Framework for Learning Ante-hoc Explainable Models | via | Concepts, A |
| Framework for Shape Analysis | via | Hilbert Space Embedding, A |
| Framing U-Net | via | Deep Convolutional Framelets: Application to Sparse-View CT |
| FrankMocap: A Monocular 3D Whole-Body Pose Estimation System | via | Regression and Integration |
| FRAug: Tackling Federated Learning with Non-IID Features | via | Representation Augmentation |
| FRDet: Few-shot object detection | via | feature reconstruction |
| Free-Form Image Inpainting | via | Contrastive Attention Network |
| Free-Lunch Saliency | via | Attention in Atari Agents |
| Freehand 3D Ultrasound Volume Reconstruction | via | Sub-Pixel Phase Correlation |
| Frequency Dropout: Feature-level Regularization | via | Randomized Filtering |
| Frequency-Dependent Depth Map Enhancement | via | Iterative Depth-Guided Affine Transformation and Intensity-Guided Refinement |
| Fresh Tea Shoot Maturity Estimation | via | Multispectral Imaging and Deep Label Distribution Learning |
| Fresh Yield Estimation of Spring Tea | via | Spectral Differences in UAV Hyperspectral Images from Unpicked and Picked Canopies |
| From ambiguities to insights in cancer diagnosis | via | query-based comparisons |
| From Contexts to Locality: Ultra-high Resolution Image Segmentation | via | Locality-aware Contextual Correlation |
| From Cultural Path to Cultural Route: A Value-led Risk Management Method for | via | Iulia Augusta in Albenga (italy) |
| From Depth What Can You See? Depth Completion | via | Auxiliary Image Reconstruction |
| From General to Specific: Informative Scene Graph Generation | via | Balance Adjustment |
| From Keypoints to Object Landmarks | via | Self-Training Correspondence: A Novel Approach to Unsupervised Landmark Discovery |
| From Local Context-Aware to Non-Local: A Road Extraction Network | via | Guidance of Multi-Spectral Image |
| From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval | via | Regression Tree Fields |
| From person to group re-identification | via | unsupervised transfer of sparse features |
| From RGB to Spectrum for Natural Scenes | via | Manifold-Based Mapping |
| From W-Net to CDGAN: Bitemporal Change Detection | via | Deep Learning Techniques |
| From Waltz to Winston ( | via | the Connection Table) |
| Front2Back: Single View 3D Shape Reconstruction | via | Front to Back Prediction |
| Frustratingly Easy Knowledge Distillation | via | Attentive Similarity Matching |
| Fs-DSM: Few-Shot Diagram-Sentence Matching | via | Cross-Modal Attention Graph Model |
| FS-NCSR: Increasing Diversity of the Super-Resolution Space | via | Frequency Separation and Noise-Conditioned Normalizing Flow |
| FSCE: Few-Shot Object Detection | via | Contrastive Proposal Encoding |
| FTL: A Universal Framework for Training Low-bit DNNs | via | Feature Transfer |
| Full 3-D Imaging of Vertical Structures | via | Ground-Penetrating Radar |
| Full-Body Human Pose Estimation from Monocular Video Sequence | via | Multi-dimensional Boosting Regression |
| Full-Reference Image Quality Expression | via | Genetic Programming |
| Full-Scale Highway Bridge Deformation Tracking | via | Photogrammetry and Remote Sensing |
| Full-Scene Defocus Blur Detection With DeFBD+ | via | Multi-Level Distillation Learning |
| FULLER: Unified Multi-modality Multi-task 3D Perception | via | Multi-level Gradient Calibration |
| Fully Automated Scan-to-BIM | via | Point Cloud Instance Segmentation |
| Fully Automatic Cervical Vertebrae Segmentation | via | Enhanced U2-Net |
| Fully automatic pose-invariant face recognition | via | 3D pose normalization |
| Fully Automatic Segmentation of AP Pelvis X-rays | via | Random Forest Regression and Hierarchical Sparse Shape Composition |
| Fully automatic segmentation of AP pelvis X-rays | via | random forest regression with efficient feature selection and hierarchical sparse shape composition |
| Fully Automatic Segmentation of Hip CT Images | via | Random Forest Regression-Based Atlas Selection and Optimal Graph Search-Based Surface Detection |
| Fully Global Approach to Image Segmentation | via | Coupled Curve Evolution Equations, A |
| Functional data clustering | via | piecewise constant nonparametric density estimation |
| Functional vanishing point estimation | via | a filtered-Radon operator |
| Fundamental Matrix Estimation | via | TIP: Transfer of Invariant Parameters |
| Fundus Image-Label Pairs Synthesis and Retinopathy Screening | via | GANs With Class-Imbalanced Semi-Supervised Learning |
| Fused LASSO Screening Rules | via | the Monotonicity of Subdifferentials |
| Fused Thermal and RGB Imagery for Robust Detection and Classification of Dynamic Objects in Mixed Datasets | via | Pre-Trained High-Level CNN |
| FuseGAN: Learning to Fuse Multi-Focus Image | via | Conditional Generative Adversarial Network |
| FuseNet: Incorporating Depth into Semantic Segmentation | via | Fusion-Based CNN Architecture |
| Fusing Hyperspectral and Multispectral Images | via | Coupled Sparse Tensor Factorization |
| Fusing Hyperspectral and Multispectral Images | via | Low-Rank Hankel Tensor Representation |
| Fusing multimodal biometrics with quality estimates | via | a Bayesian belief network |
| Fusing Multiple Independent Estimates | via | Spectral Clustering for Robust Visual Tracking |
| Fusing Robust Face Region Descriptors | via | Multiple Metric Learning for Face Recognition in the Wild |
| Fusing Spatial Attention with Spectral-Channel Attention Mechanism for Hyperspectral Image Classification | via | Encoder-Decoder Networks |
| fusion network for road detection | via | spatial propagation and spatial transformation, A |
| Fusion of Multispectral and Panchromatic Images | via | Spatial Weighted Neighbor Embedding |
| Fusion: Fully Unsupervised Test-time Stain Adaptation | via | Fused Normalization Statistics |
| Fusioncount: Efficient Crowd Counting | via | Multiscale Feature Fusion |
| Fuzzy community detection | via | modularity guided membership-degree propagation |
| FX-GAN: Self-Supervised GAN Learning | via | Feature Exchange |
| G-DetKD: Towards General Distillation Framework for Object Detectors | via | Contrastive and Semantic-Guided Feature Imitation |
| G2L: Semantically Aligned and Uniform Video Grounding | via | Geodesic and Game Theory |
| Gabor Feature Space Diffusion | via | the Minimal Weighted Area Method |
| Gabor-based texture classification through efficient prototype selection | via | normalized cut |
| Gait based recognition | via | fusing information from Euclidean and Riemannian manifolds |
| Gait feature learning | via | spatio-temporal two-branch networks |
| Gait Recognition | via | Disentangled Representation Learning |
| Gait Recognition | via | Effective Global-Local Feature Representation and Local Temporal Aggregation |
| Gait recognition | via | optimally interpolated deformable contours |
| Gait Recognition | via | Semi-supervised Disentangled Representation Learning to Identity and Covariate Features |
| Gait-Based Action Recognition | via | Accelerated Minimum Incremental Coding Length Classifier |
| Gaitstrip: Gait Recognition | via | Effective Strip-based Feature Representations and Multi-level Framework |
| GAMNet: Global attention | via | multi-scale context for depth estimation algorithm and application |
| GAN-based person search | via | deep complementary classifier with center-constrained Triplet loss |
| GANomaly: Semi-supervised Anomaly Detection | via | Adversarial Training |
| GANs Spatial Control | via | Inference-Time Adaptive Normalization |
| Gap-Filling of MODIS Fractional Snow Cover Products | via | Non-Local Spatio-Temporal Filtering Based on Machine Learning Techniques |
| GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation | via | Generalizable and Actionable Parts |
| GarmentNets: Category-Level Pose Estimation for Garments | via | Canonical Space Shape Completion |
| Gastritis Detection from Gastric X-Ray Images | via | Fine-Tuning of Patch-Based Deep Convolutional Neural Network |
| Gauging Association Patterns of Chromosome Territories | via | Chromatic Median |
| Gauss' Law in Image Processing and Analysis | via | Fast Numerical Calculation of Vector Fields |
| Gaussian Fusion: Accurate 3D Reconstruction | via | Geometry-Guided Displacement Interpolation |
| Gaussian mixture learning | via | robust competitive agglomeration |
| Gaze Detection | via | Self-Organizing Gray-Scale Units |
| Gaze determination | via | images of irises |
| Gaze Estimation From Eye Appearance: A Head Pose-Free Method | via | Eye Image Synthesis |
| Gaze estimation | via | bilinear pooling-based attention networks |
| Gaze Estimation | via | Modulation-Based Adaptive Network With Auxiliary Self-Learning |
| Gaze Estimation | via | the Joint Modeling of Multiple Cues |
| Gaze-Aided Eye Detection | via | Appearance Learning |
| Gaze-enabled egocentric video summarization | via | constrained submodular maximization |
| GDP: Stabilized Neural Network Pruning | via | Gates with Differentiable Polarization |
| Gender classification | via | lips: static and dynamic features |
| Gender Recognition | via | Locality Preserving Tensor Analysis on Face Images |
| Gene Selection | via | a Spectral Approach |
| General Exact Reconstruction for Cone-Beam CT | via | Backprojection-Filtration, A |
| General Framework for Auto-Weighted Feature Selection | via | Global Redundancy Minimization, A |
| General Geometric Good Continuation: From Taylor to Laplace | via | Level Sets |
| general subspace ensemble learning framework | via | totally-corrective boosting and tensor-based and local patch-based extensions for gait recognition, A |
| Generalizable Cross-modality Medical Image Segmentation | via | Style Augmentation and Dual Normalization |
| Generalizable Crowd Counting | via | Diverse Context Style Learning |
| Generalizable Implicit Neural Representations | via | Instance Pattern Composers |
| Generalizable Medical Image Segmentation | via | Random Amplitude Mixup and Domain-Specific Image Restoration |
| Generalizable Mixed-Precision Quantization | via | Attribution Rank Preservation |
| Generalizable model-agnostic semantic segmentation | via | target-specific normalization |
| Generalizable No-Reference Image Quality Assessment | via | Deep Meta-Learning |
| Generalization Comparison of Deep Neural Networks | via | Output Sensitivity |
| Generalization Matters: Loss Minima Flattening | via | Parameter Hybridization for Efficient Online Knowledge Distillation |
| Generalization on Unseen Domains | via | Inference-time Label-Preserving Target Projections |
| Generalized Deep 3D Shape Prior | via | Part-Discretized Diffusion Process |
| Generalized discriminant analysis | via | kernel exponential families |
| Generalized Extended Nested Array Design | via | Maximum Inter-Element Spacing Criterion, A |
| Generalized Face Anti-Spoofing | via | Multi-Task Learning and One-Side Meta Triplet Loss |
| Generalized Few-Shot Point Cloud Segmentation | via | Geometric Words |
| Generalized image retargeting | via | convex optimization |
| Generalized Knowledge Distillation | via | Relationship Matching |
| generalized relative pose and scale problem: View-graph fusion | via | 2D-2D registration, The |
| Generalized UAV Object Detection | via | Frequency Domain Disentanglement |
| Generalized Visual Information Analysis | via | Tensorial Algebra |
| Generalized Zero- and Few-Shot Learning | via | Aligned Variational Autoencoders |
| Generalized zero-shot classification | via | iteratively generating and selecting unseen samples |
| Generalized Zero-Shot Learning | via | Multi-Modal Aggregated Posterior Aligning Neural Network |
| Generalized Zero-Shot Learning | via | Over-Complete Distribution |
| Generalized Zero-Shot Learning | via | Synthesized Examples |
| Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks | via | Learned Weights Statistics, A |
| Generalizing Aggregation Functions in GNNs: Building High Capacity and Robust GNNs | via | Nonlinear Aggregation |
| Generalizing Dataset Distillation | via | Deep Generative Prior |
| Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains | via | Deep Stacked Transformation |
| Generalizing Spacecraft Recognition | via | Diversifying Few-Shot Datasets in a Joint Trained Likelihood |
| Generalizing to Out-of-Sample Degradations | via | Model Reprogramming |
| Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions | via | Hermite Polynomial Activations |
| Generating Construction Safety Observations | via | Clip-based Image-language Embedding |
| Generating Discriminative Object Proposals | via | Submodular Ranking |
| Generating Dynamic Kernels | via | Transformers for Lane Detection |
| Generating Emotion Descriptions for Fine Art Paintings | via | Multiple Painting Representations |
| Generating Handwriting | via | Decoupled Style Descriptors |
| Generating JPEG Steganographic Adversarial Example | via | Segmented Adversarial Embedding |
| Generating Manga from Illustrations | via | Mimicking Manga Creation Workflow |
| Generating Point Cloud Augmentations | via | Class-Conditioned Diffusion Model |
| Generating Useful Accident-Prone Driving Scenarios | via | a Learned Traffic Prior |
| Generation of Viewed Image Captions From Human Brain Activity | via | Unsupervised Text Latent Space |
| Generative adversarial framework for depth filling | via | Wasserstein metric, cosine transform and domain transfer |
| Generative adversarial networks | via | a composite annealing of noise and diffusion |
| Generative Gradient Inversion | via | Over-Parameterized Networks in Federated Learning |
| Generative image inpainting | via | edge structure and color aware fusion |
| Generative Zero-Shot Learning | via | Low-Rank Embedded Semantic Dictionary |
| Generic 3D Representation | via | Pose Estimation and Matching |
| generic denoising framework | via | guided principal component analysis, A |
| Generic Framework for Video Annotation | via | Semi-Supervised Learning, A |
| Generic Object Recognition | via | Shock Patch Fragments |
| Generic Reversible Visible Watermarking | via | Regularized Graph Fourier Transform Coding |
| Genexplorer: Visualizing and Comparing Gene Expression Levels | via | Differential Charts |
| GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images | via | a New Generalized KL Divergence |
| Geo-Localization | via | Ground-to-Satellite Cross-View Image Retrieval |
| Geo-Object-Based Land Cover Map Update for High-Spatial-Resolution Remote Sensing Images | via | Change Detection and Label Transfer |
| Geo-Object-Based Vegetation Mapping | via | Machine Learning Methods with an Intelligent Sample Collection Scheme: A Case Study of Taibai Mountain, China |
| Geodesic Shape Retrieval | via | Optimal Mass Transport |
| Geodesic Shooting and Diffeomorphic Matching | via | Textured Meshes |
| Geodesic | via | Asymmetric Heat Diffusion Based on Finsler Metric |
| Geodesics in Shape Space | via | Variational Time Discretization |
| Geometric Deformation on Objects: Unsupervised Image Manipulation | via | Conjugation |
| Geometric Estimation | via | Robust Subspace Recovery |
| Geometric Mesh Denoising | via | Multivariate Kernel Diffusion |
| Geometric Model of Multi-scale Orientation Preference Maps | via | Gabor Functions, A |
| Geometric particle swarm optimization for robust visual ego-motion estimation | via | particle filtering |
| Geometrically Invariant Image Watermarking | via | Robust Perceptual Hashes |
| Geometry Auxiliary Salient Object Detection for Light Fields | via | Graph Neural Networks |
| Geometry Guided Multi-Scale Depth Map Fusion | via | Graph Optimization |
| Geometry-Aware Deep Video Deblurring | via | Recurrent Feature Refinement |
| Geometry-Aware Facial Expression Recognition | via | Attentive Graph Convolutional Networks |
| Geometry-Based Facial Expression Recognition | via | Large Deformation Diffeomorphic Metric Curve Mapping |
| Geometry-Consistent Light Field Super-Resolution | via | Graph-Based Regularization |
| GeoMIM: Towards Better 3D Knowledge Transfer | via | Masked Image Modeling for Multi-view 3D Understanding |
| GeoSim: Realistic Video Simulation | via | Geometry-Aware Composition for Self-Driving |
| GeoUDF: Surface Reconstruction from 3D Point Clouds | via | Geometry-guided Distance Representation |
| Gesture learning and execution in a humanoid robot | via | dynamic movement primitives |
| Gesture Recognition | via | Pose Classification |
| Ghost Elimination | via | Multi-Component Collaboration for Unmanned Aerial Vehicle Remote Sensing Image Stitching |
| Ghost Removal | via | Channel Attention in Exposure Fusion |
| Ghost-Free HDR Imaging | via | Unrolling Low-Rank Matrix Completion |
| Ghost-Free High Dynamic Range Imaging | via | Rank Minimization |
| GhostNets on Heterogeneous Devices | via | Cheap Operations |
| Gingivitis Identification | via | Multichannel Gray-Level Co-Occurrence Matrix and Particle Swarm Optimization Neural Network |
| GIQE: Generic Image Quality Enhancement | via | Nth Order Iterative Degradation |
| GL-Net: Semantic segmentation for point clouds of shield tunnel | via | global feature learning and local feature discriminative aggregation |
| Gleason Grading of Histology Prostate Images Through Semantic Segmentation | via | Residual U-Net |
| Glidar3DJ: a View-Invariant Gait Identification | via | Flash Lidar Data Correction |
| Global active contour-based image segmentation | via | probability alignment |
| Global Contrast Enhancement Detection | via | Deep Multi-Path Network |
| Global Optimization of Long-Term Average Proportional Fair Throughput | via | Convex Reformulation |
| Global parametric image alignment | via | high-order approximation |
| Global Registration of 3D Point Sets | via | LRS Decomposition |
| Global seamline networks for orthomosaic generation | via | local search |
| Global Tracking | via | Ensemble of Local Trackers |
| Global Trajectory Construction across Multi-cameras | via | Graph Matching |
| Global Transformer and Dual Local Attention Network | via | Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation |
| Global Uncertainty in Epipolar Geometry | via | Fully and Partially Data-Driven Sampling |
| global-local affinity matrix model | via | EigenGap for graph-based subspace clustering, A |
| Globally and Locally Semantic Colorization | via | Exemplar-Based Broad-GAN |
| Globally consistent alignment for planar mosaicking | via | topology analysis |
| Globally Consistent Indoor Mapping | via | a Decoupling Rotation and Translation Algorithm Applied to RGB-D Camera Output |
| Globally consistent registration of terrestrial laser scans | via | graph optimization |
| GLTF-Net: Deep-Learning Network for Thick Cloud Removal of Remote Sensing Images | via | Global-Local Temporality and Features |
| GMFAD: Towards Generalized Visual Recognition | via | Multilayer Feature Alignment and Disentanglement |
| GMFlow: Learning Optical Flow | via | Global Matching |
| GMLight: Lighting Estimation | via | Geometric Distribution Approximation |
| GMTI and Parameter Estimation for MIMO SAR System | via | Fast Interferometry RPCA Method |
| GMTI and Parameter Estimation | via | Time-Doppler Chirp-Varying Approach for Single-Channel Airborne SAR System |
| GNP Attack: Transferable Adversarial Examples | via | Gradient Norm Penalty |
| Go Closer to See Better: Camouflaged Object Detection | via | Object Area Amplification and Figure-Ground Conversion |
| Go with the Flow: Hand Trajectories in 3D | via | Clustered Scene Flow |
| Goal-Oriented Visual Question Generation | via | Intermediate Rewards |
| Going deeper into copy-move forgery detection: Exploring image telltales | via | multi-scale analysis and voting processes |
| Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering | via | Reinforcement Learning |
| GP-VTON: Towards General Purpose Virtual Try-On | via | Collaborative Local-Flow Global-Parsing Learning |
| GPR-Net: Multi-view Layout Estimation | via | a Geometry-aware Panorama Registration Network |
| GPTSee: Enhancing Moment Retrieval and Highlight Detection | via | Description-Based Similarity Features |
| GPV-Pose: Category-level Object Pose Estimation | via | Geometry-guided Point-wise Voting |
| GraB: Visual Saliency | via | Novel Graph Model and Background Priors |
| Grad-CAM: Visual Explanations from Deep Networks | via | Gradient-Based Localization |
| Grad-PU: Arbitrary-Scale Point Cloud Upsampling | via | Gradient Descent with Learned Distance Functions |
| GradDiv: Adversarial Robustness of Randomized Neural Networks | via | Gradient Diversity Regularization |
| GradICON: Approximate Diffeomorphisms | via | Gradient Inverse Consistency |
| Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias | via | Gradient Attention |
| Gradient flow approach to discrete-time envelope-constrained filter design | via | orthonormal filters |
| Gradient independent translation | via | differential morphology |
| Gradient Matters: Designing Binarized Neural Networks | via | Enhanced Information-Flow |
| Gradient-based conditional generative adversarial network for non-uniform blind deblurring | via | DenseResNet |
| Graph attribute embedding | via | Riemannian submersion learning |
| Graph classification | via | discriminative edge feature learning |
| Graph Clustering | via | Inexact Patterns |
| Graph Clustering | via | Variational Graph Embedding |
| Graph cut segmentation with a global constraint: Recovering region distribution | via | a bound of the Bhattacharyya measure |
| Graph Cuts | via | L_1 Norm Minimization |
| Graph Isomorphisms and Automorphisms | via | Spectral Signatures |
| Graph Matching | via | Sequential Monte Carlo |
| Graph Neural Network Meets Sparse Representation: Graph Sparse Neural Networks | via | Exclusive Group Lasso |
| Graph-Based Blind Hyperspectral Unmixing | via | Nonnegative Matrix Factorization |
| Graph-Based Model Compression for HSR Bogies Fault Diagnosis at IoT Edge | via | Adversarial Knowledge Distillation |
| Graph-Based Surgical Instrument Adaptive Segmentation | via | Domain-Common Knowledge |
| GraphBGS: Background Subtraction | via | Recovery of Graph Signals |
| GraphBit: Bitwise Interaction Mining | via | Deep Reinforcement Learning |
| GraphCSPN: Geometry-Aware Depth Completion | via | Dynamic GCNs |
| GraphDPI: Partial label disambiguation by graph representation learning | via | mutual information maximization |
| GraphFlow: 6D Large Displacement Scene Flow | via | Graph Matching |
| Graphonomy: Universal Human Parsing | via | Graph Transfer Learning |
| Graphonomy: Universal Image Parsing | via | Graph Reasoning and Transfer |
| GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations | via | Auto-Encoding Node-Wise Transformations |
| Grasp planning | via | hand-object geometric fitting |
| Gray Level Cooccurrence Histograms | via | Learning Vector Quantization |
| Grayscale-Thermal Object Tracking | via | Multitask Laplacian Sparse Representation |
| Grayscale-Thermal Tracking | via | Inverse Sparse Representation-Based Collaborative Encoding |
| Great Ape Detection in Challenging Jungle Camera Trap Footage | via | Attention-Based Spatial and Temporal Feature Blending |
| Greedy refinement of object proposals | via | boundary-aligned minimum bounding box search |
| Grey conversion | via | perceived-contrast |
| Grid-Less Approach to Underdetermined Direction of Arrival Estimation | via | Low Rank Matrix Denoising, A |
| GridFace: Face Rectification | via | Learning Local Homography Transformations |
| Griffin-Lim Like Phase Recovery | via | Alternating Direction Method of Multipliers |
| Ground Maneuvering Target Focusing | via | High-Order Phase Correction in High-Squint Synthetic Aperture Radar |
| Ground Moving Target Indication | via | Multichannel Airborne SAR |
| Ground-Based Remote Sensing Cloud Classification | via | Context Graph Attention Network |
| Ground-to-Aerial Viewpoint Localization | via | Landmark Graphs Matching |
| Grounding Scene Graphs on Natural Images | via | Visio-Lingual Message Passing |
| Group Consistent Similarity Learning | via | Deep CRF for Person Re-identification |
| Group expression intensity estimation in videos | via | Gaussian Processes |
| Group Re-identification | via | Unsupervised Transfer of Sparse Features Encoding |
| Group Sparsity | via | SURE Based on Regression Parameter Mean Squared Error |
| Group-Conditional Conformal Prediction | via | Quantile Regression Calibration for Crop and Weed Classification |
| Group-Free 3D Object Detection | via | Transformers |
| Grouping | via | the Matching of Repeated Patterns |
| Groupwise Registration | via | Graph Shrinkage on the Image Manifold |
| Groupwise Shape Registration on Raw Edge Sequence | via | A Spatio-Temporal Generative Model |
| GS Model for the Image Segmentation Number | via | Weighted the Position Information and the Gray Values |
| GTP-ViT: Efficient Vision Transformers | via | Graph-based Token Propagation |
| Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic | via | Conformal Prediction |
| Guaranteed Robust Tensor Completion | via | *L-SVD with Applications to Remote Sensing Data |
| Guided Cyclegan | via | Semi-Dual Optimal Transport for Photo-Realistic Face Super-Resolution |
| Guided depth enhancement | via | a fast marching method |
| Guided Depth Upsampling | via | a Cosparse Analysis Model |
| Guided point cloud denoising | via | sharp feature skeletons |
| Guided Sampling for Multistructure Data | via | Neighborhood Consensus and Residual Sorting |
| Guided Sampling | via | Weak Motion Models and Outlier Sample Generation for Epipolar Geometry Estimation |
| Guided Sparse Feature Matching | via | Coarsely Defined Dense Matches |
| guided-based approach for deepfake detection: RGB-depth integration | via | features fusion, A |
| GuidedNet: A General CNN Fusion Framework | via | High-Resolution Guidance for Hyperspectral Image Super-Resolution |
| Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization | via | Unsupervised Region Prioritization |
| H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images | via | Improved Closed Principal Curve and Improved Enhanced Machine Learning |
| H2O-Net: Self-Supervised Flood Segmentation | via | Adversarial Domain Adaptation and Label Refinement |
| HairCLIPv2: Unifying Hair Editing | via | Proxy Feature Blending |
| HairManip: High quality hair manipulation | via | hair element disentangling |
| Halftone image watermarking | via | optimization |
| Halftoning | via | direct binary search using analytical and stochastic printer models |
| Hallucinated-IQA: No-Reference Image Quality Assessment | via | Adversarial Learning |
| Hallucinating the Full Face from the Periocular Region | via | Dimensionally Weighted K-SVD |
| HaMuCo: Hand Pose Estimation | via | Multiview Collaborative Self-Supervised Learning |
| Hand Image Understanding | via | Deep Multi-Task Learning |
| Hand Pose Estimation | via | Latent 2.5D Heatmap Regression |
| Hand Pose Regression | via | a Classification-Guided Approach |
| Hand-held video deblurring | via | efficient Fourier aggregation |
| Hand-Printed Chinese Character Recognition | via | Machine Learning |
| Handling Domain Shift for Lesion Detection | via | Semi-supervised Domain Adaptation |
| Handling Imbalanced Classification Problems With Support Vector Machines | via | Evolutionary Bilevel Optimization |
| Handling Label Noise in Video Classification | via | Multiple Instance Learning |
| HandMap: Robust Hand Pose Estimation | via | Intermediate Dense Guidance Map Supervision |
| Handover Count Based MAP Estimation of Velocity With Prior Distribution Approximated | via | NGSIM Data-Set |
| Handprinted Chinese Character Recognition | via | Neural Networks |
| Hands in Focus: Sign Language Recognition | via | Top-Down Attention |
| Handwriting Classification of Byzantine Codices | via | Geometric Transformations Induced by Curvature Deformations |
| Handwritten Chinese Character Recognition Based on Primitive and Fuzzy Features | via | the SEART Neural Net Model |
| Handwritten digits recognition system | via | OCON neural network by pruning selective update |
| Handwritten Line Detection | via | an EM Algorithm |
| Handwritten Mathematical Expression Recognition | via | Paired Adversarial Learning |
| Handwritten Signature Verification | via | Deep Sparse Coding Architecture |
| Handwritten Text Generation | via | Disentangled Representations |
| HANS: Controlling Ink-Jet Print Attributes | via | Neugebauer Primary Area Coverages |
| Hardcopy Image Barcodes | via | Block-Error Diffusion |
| HARDI Segmentation | via | Fourth-Order Tensors and Anisotropy Preserving Similarity Measures |
| Hardware-Accelerated Visualization of Time-Varying 2-D and 3-D Vector Fields by Texture Advection | via | Programmable Per-Pixel Operations |
| Harmonious Lane Changing | via | Deep Reinforcement Learning |
| Harmonious Semantic Line Detection | via | Maximal Weight Clique Selection |
| Harmonious Textual Layout Generation Over Natural Images | via | Deep Aesthetics Learning |
| HATF: Multi-Modal Feature Learning for Infrared and Visible Image Fusion | via | Hybrid Attention Transformer |
| Hazard Detection for Motorcycles | via | Accelerometers: A Self-Organizing Map Approach |
| HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction | via | Scene Encoding |
| HDR Tomography | via | Modulo Radon Transform |
| HDR-TOF: HDR Time-of-Flight Imaging | via | Modulo Acquisition |
| Head pose estimation | via | probabilistic high-dimensional regression |
| Head pose-free appearance-based gaze sensing | via | eye image synthesis |
| Head Tracking | via | Robust Registration in Texture Map Images |
| Head yaw estimation | via | symmetry of regions |
| Heat Kernel Smoothing | via | Laplace-Beltrami Eigenfunctions and Its Application to Subcortical Structure Modeling |
| Heatmap Regression | via | Randomized Rounding |
| Heavy-Tailed Model for Visual Tracking | via | Robust Subspace Learning |
| HEp-2 cells classification | via | sparse representation of textural features fused into dissimilarity space |
| HEp-2 specimen classification | via | deep CNNs and pattern histogram |
| Heritage image annotation | via | collective knowledge |
| Hermite-Gaussian mode detection | via | convolution neural networks |
| Heterogeneous Attentions for Solving Pickup and Delivery Problem | via | Deep Reinforcement Learning |
| Heterogeneous Community Question Answering | via | Social-Aware Multi-Modal Co-Attention Convolutional Matching |
| Heterogeneous Delay Embedding for Travel Time and Energy Cost Prediction | via | Regression Analysis |
| Heterogeneous Face Frontalization | via | Domain Agnostic Learning |
| Heterogeneous face recognition | via | grassmannian based nearest subspace search |
| Heterogeneous Face Recognition | via | Part Adaptive and Relation Attention Module, A |
| Heterogeneous image feature integration | via | multi-modal spectral clustering |
| Heterogeneous Image Features Integration | via | Multi-modal Semi-supervised Learning Model |
| Heterogeneous Recommendation | via | Deep Low-Rank Sparse Collective Factorization |
| Heterogeneous Tensor Decomposition for Clustering | via | Manifold Optimization |
| Heterogeneous Trajectory Forecasting | via | Risk and Scene Graph Learning |
| Heterogeneous Visual Codebook Integration | via | Consensus Clustering for Visual Categorization |
| Heterogeneous Visual Features Fusion | via | Sparse Multimodal Machine |
| HEVC-EPIC: Fast Optical Flow Estimation From Coded Video | via | Edge-Preserving Interpolation |
| HIDA: Towards Holistic Indoor Understanding for the Visually Impaired | via | Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor |
| HiDAnet: RGB-D Salient Object Detection | via | Hierarchical Depth Awareness |
| Hiding Data Reversibly in an Image | via | Increasing Differences between Two Neighboring Pixels |
| Hiding multiple images into a single image | via | joint compressive autoencoders |
| Hiding secret data in images | via | predictive coding |
| Hiding Video in Audio | via | Reversible Generative Models |
| Hiding Visual Information | via | Obfuscating Adversarial Perturbations |
| HIER: Metric Learning Beyond Class Labels | via | Hierarchical Regularization |
| Hierarchical convolutional features for visual tracking | via | two combined color spaces with SVM classifier |
| Hierarchical Deterministic Image Watermarking | via | Polynomial Interpolation |
| Hierarchical face parsing | via | deep learning |
| Hierarchical facial landmark localization | via | cascaded random binary patterns |
| Hierarchical Image Feature Compression for Machines | via | Feature Sparsity Learning |
| Hierarchical image representation | via | multi-level sparse coding |
| Hierarchical Image-Coding | via | Cerebellar Model Arithmetic Computers |
| Hierarchical Image-region Labeling | via | Structured Learning |
| Hierarchical line segment matching for wide-baseline images | via | exploiting viewpoint robust local structure and geometric constraints |
| Hierarchical Model Compression | via | Shape-Edge Representation of Feature Maps: An Enlightenment From the Primate Visual System |
| Hierarchical Model-Based Human Motion Tracking | via | Unscented Kalman Filter |
| Hierarchical modeling | via | optimal context quantization |
| Hierarchical Motion Understanding | via | Motion Programs |
| Hierarchical Multi-task Learning | via | Task Affinity Groupings |
| Hierarchical Object Representations for Visual Recognition | via | Weakly Supervised Learning |
| Hierarchical ownership and deterministic watermarking of digital images | via | polynomial interpolation |
| Hierarchical palmprint identification | via | multiple feature extraction |
| Hierarchical segmentation | via | a diffusion scheme in color/texture feature space |
| Hierarchical Shape Decomposition | via | Level Sets |
| Hierarchical Shape Description | via | the Multiresolution Symmetric Axis Transform |
| Hierarchical Shape Segmentation and Registration | via | Topological Features of Laplace-Beltrami Eigenfunctions |
| Hierarchical Visual-textual Graph for Temporal Activity Localization | via | Language |
| Hierarchical X-ray Report Generation | via | Pathology Tags and Multi Head Attention |
| High Accuracy Motion Detection Algorithm | via | ISM Band FMCW Radar |
| High Accuracy Perceptual Video Hashing | via | Low-rank Decomposition and DWT |
| High Capacity Color Barcodes: Per Channel Data Encoding | via | Orientation Modulation in Elliptical Dot Arrays |
| High Compression Image Coding | via | Directional Filtering |
| High Distortion and Non-Structural Image Matching | via | Feature Co-occurrence |
| High dynamic range imaging | via | gradient-aware context aggregation network |
| High Dynamic Range Light Fields | via | Weighted Low Rank Approximation |
| High dynamic range map estimation | via | fully connected random fields with stochastic cliques |
| High Fidelity 3D Hand Shape Reconstruction | via | Scalable Graph Frequency Decomposition |
| High frame rate optical flow estimation from event sensors | via | intensity estimation |
| High Joint Spectral-Spatial Resolution Imaging | via | Nanostructured Random Broadband Filtering |
| High performance person re-identification | via | a boosting ranking ensemble |
| High precision gesture sensing | via | quantitative characterization of the Doppler effect |
| High Quality Facial Surface and Texture Synthesis | via | Generative Adversarial Networks |
| High quality image reconstruction | via | non-local collaborative estimation for wireless image/video softcast |
| High quality impulse noise removal | via | non-uniform sampling and autoregressive modelling based super-resolution |
| High Quality Monocular Depth Estimation | via | A Multi-Scale Network And A Detail-Preserving Objective |
| High resolution matting | via | interactive trimap segmentation |
| High resoluton image reconstruction: A new imager | via | movable random exposure |
| High-Accuracy RGB-D Face Recognition | via | Segmentation-Aware Face Depth Estimation and Mask-Guided Attention Network |
| High-accuracy Three-dimensional Depth Measurement Using Light Field Camera | via | Correlation Spectrum Phase |
| High-dimensional unsupervised classification | via | parsimonious contaminated mixtures |
| High-Efficiency Image Coding | via | Near-Optimal Filtering |
| High-fidelity Event-Radiance Recovery | via | Transient Event Frequency |
| High-fidelity Face Tracking for AR/VR | via | Deep Lighting Adaptation |
| High-Order Scheme for Image Segmentation | via | a Modified Level-Set Method, A |
| High-order tensor completion | via | gradient-based optimization under tensor train format |
| High-Perceptual Quality JPEG Decoding | via | Posterior Sampling |
| High-Performance Super-Resolution | via | Patch-Based Deep Neural Network for Real-Time Implementation |
| High-Quality and Diverse Few-Shot Image Generation | via | Masked Discrimination |
| High-Quality Depth Recovery | via | Interactive Multi-view Stereo |
| High-quality depth up-sampling | via | a supervised classification guided MRF model |
| High-quality Frame Interpolation | via | Tridirectional Inference |
| High-quality image interpolation | via | local autoregressive and nonlocal 3-D sparse regularization |
| High-Quality RGB-D Reconstruction | via | Multi-View Uncalibrated Photometric Stereo and Gradient-SDF |
| High-Quality Stereo Video Matching | via | User Interaction and Space-Time Propagation |
| High-Resolution and Wide-Swath SAR Imaging | via | Poisson Disk Sampling and Iterative Shrinkage Thresholding |
| High-Resolution Depth Maps Imaging | via | Attention-Based Hierarchical Multi-Modal Fusion |
| High-Resolution Document Shadow Removal | via | A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net |
| High-Resolution Ex Vivo Microstructural MRI After Restoring Ventricular Geometry | via | 3D Printing |
| High-Resolution Face Recognition | via | Deep Pore-Feature Matching |
| High-resolution Face Swapping | via | Latent Semantics Disentanglement |
| High-resolution hyperspectral imaging | via | matrix factorization |
| High-Resolution Image Harmonization | via | Collaborative Dual Transformations |
| High-Resolution Imaging | via | Moving Random Exposure and Its Simulation |
| High-resolution imaging | via | quantum remote sensing |
| High-Resolution ISAR Imaging and Autofocusing | via | 2D-ADMM-Net |
| High-Resolution Mapping of Freeze/Thaw Status in China | via | Fusion of MODIS and AMSR2 Data |
| High-Resolution Optical Remote Sensing Image Registration | via | Reweighted Random Walk Based Hyper-Graph Matching |
| High-resolution Planetary Imaging | via | Spotlight-mode Synthetic Aperture Radar |
| High-Resolution Remote Sensing Image Scene Classification | via | Key Filter Bank Based on Convolutional Neural Network |
| High-Resolution SAR Image Classification | via | Multiscale Local Fisher Patterns |
| High-Speed Dense Stereo | via | Directional Center-Biased Windows on Graphics Hardware |
| High-Throughput Phenotyping of Crop Water Use Efficiency | via | Multispectral Drone Imagery and a Daily Soil Water Balance Model |
| Higher-Order Explanations of Graph Neural Networks | via | Relevant Walks |
| Higher-Order Pooling of CNN Features | via | Kernel Linearization for Action Recognition |
| Higher-order segmentation | via | multicuts |
| Highly Efficient Anchor-Free Oriented Small Object Detection for Remote Sensing Images | via | Periodic Pseudo-Domain |
| Highly Nonrigid Object Tracking | via | Patch-Based Dynamic Appearance Modeling |
| Highly Undersampled Magnetic Resonance Image Reconstruction | via | Homotopic 0-Minimization |
| Hippocampus Segmentation from MR Infant Brain Images | via | Boundary Regression |
| Hire-MLP: Vision MLP | via | Hierarchical Rearrangement |
| HistoGAN: Controlling Colors of GAN-Generated and Real Images | via | Color Histograms |
| Histogram modification | via | partial differential equations |
| Historic Low Wall Detection | via | Topographic Parameter Images Derived from Fine-Resolution DEM |
| Historical Buildings Models And Their Handling | via | 3d Survey: From Points Clouds To User-oriented Hbim |
| Historical Heritage Maintenance | via | Scan-to-BIM Approaches: A Case Study of the Lisbon Agricultural Exhibition Pavilion |
| History Repeats Itself: Human Motion Prediction | via | Motion Attention |
| HKGAIL: Policy shaping | via | integrating human knowledge with generative adversarial imitation learning |
| HM-NAS: Efficient Neural Architecture Search | via | Hierarchical Masking |
| Hockey Action Recognition | via | Integrated Stacked Hourglass Network |
| Holistic CNN Compression | via | Low-Rank Decomposition with Knowledge Transfer |
| Holocurtains: Programming Light Curtains | via | Binary Holography |
| Homological Region Adjacency Tree for a 3D Binary Digital Image | via | HSF Model |
| Homology Computations | via | Acyclic Subspace |
| Horizontal Geolocation Error Evaluation and Correction on Full-Waveform LiDAR Footprints | via | Waveform Matching |
| Horror film genre typing and scene labeling | via | audio analysis |
| Hough Array Processing | via | Fast Multi-Scale Clustering |
| Hough Transform for Detecting the Location and Orientation of 3-Dimensional Surfaces | via | Color Encoded Spots, A |
| Hourly Ground-Level PM2.5 Estimation Using Geostationary Satellite and Reanalysis Data | via | Deep Learning |
| HouseDiffusion: Vector Floorplan Generation | via | a Diffusion Model with Discrete and Continuous Denoising |
| How Do Drivers Allocate Their Potential Attention? Driving Fixation Prediction | via | Convolutional Neural Networks |
| How Many Facilities are Needed? Evaluating Configurations of Subway Security Check Systems | via | a Hybrid Queueing Model |
| How the Small Object Detection | via | Machine Learning and UAS-Based Remote-Sensing Imagery Can Support the Achievement of SDG2: A Case Study of Vole Burrows |
| How to Transfer? Zero-Shot Object Recognition | via | Hierarchical Transfer of Semantic Attributes |
| HP-GAN: Probabilistic 3D Human Motion Prediction | via | GAN |
| HQRetouch: Learning Professional Face Retouching | via | Masked Feature Fusion and Semantic-Aware Modulation |
| HSI-DeNet: Hyperspectral Image Restoration | via | Convolutional Neural Network |
| HSR-Diff: Hyperspectral Image Super-Resolution | via | Conditional Diffusion Models |
| Human action detection | via | boosted local motion histograms |
| Human Action Poselets Estimation | via | Color G-Surf in Still Images |
| Human Action Recognition in Video | via | Fused Optical Flow and Moment Features: Towards a Hierarchical Approach to Complex Scenario Recognition |
| Human action recognition | via | affine moment invariants |
| Human action recognition | via | multiview discriminative analysis of canonical correlations |
| Human Action Retrieval | via | efficient feature matching |
| Human action segmentation and recognition | via | motion and shape analysis |
| Human action segmentation | via | controlled use of missing data in HMMs |
| Human Activity Recognition | via | 3-D joint angle features and Hidden Markov models |
| Human Age Estimation | via | Geometric And Textural Features |
| Human body part estimation from depth images | via | spatially-constrained deep learning |
| Human Body Posture | via | Hierarchical Evolutionary Optimization |
| Human Body Segmentation | via | Data-Driven Graph Cut |
| Human Detection and Segmentation | via | Multi-view Consensus |
| Human Detection in Images | via | Piecewise Linear Support Vector Machines |
| Human Detection | via | Classification on Riemannian Manifolds |
| Human fall detection in videos | via | boosting and fusing statistical features of appearance, shape and motion dynamics on Riemannian manifolds with applications to assisted living |
| Human fall detection | via | shape analysis on Riemannian manifolds with applications to elderly care |
| Human Gait Recognition | via | Sparse Discriminant Projection Learning |
| Human Identification From ECG Signals | via | Sparse Representation of Local Segments |
| Human Identification versus Expression Classification | via | Bagging on Facial Asymmetry |
| Human Instance Matting | via | Mutual Guidance and Multi-Instance Refinement |
| Human Mesh Recovery From Monocular Images | via | a Skeleton-Disentangled Representation |
| Human Motion Analysis | via | Statistical Motion Processing and Sequential Change Detection |
| Human motion capture data recovery | via | trajectory-based sparse representation |
| Human Motion De-noising | via | Greedy Kernel Principal Component Analysis Filtering |
| Human Motion Enhancement | via | Tobit Particle Filtering and Differential Evolution |
| Human Motion Prediction | via | Pattern Completion in Latent Representation Space |
| Human Motion Prediction | via | Spatio-Temporal Inpainting |
| Human Motion Segmentation | via | Robust Kernel Sparse Subspace Clustering |
| Human Motion Segmentation | via | Velocity-Sensitive Dual-Side Auto-Encoder |
| Human Pose Estimation and Tracking | via | Parsing a Tree Structure Based Human Model |
| Human Pose Estimation in Video | via | Structured Space Learning and Halfway Temporal Evaluation |
| Human Pose Estimation in Vision Networks | via | Distributed Local Processing and Nonparametric Belief Propagation |
| Human Pose Estimation | via | Convolutional Part Heatmap Regression |
| Human Pose Forecasting | via | Deep Markov Models |
| Human Trajectory Prediction | via | Counterfactual Analysis |
| Human Trajectory Prediction | via | Neural Social Physics |
| Human-Centered Transparency of Grasping | via | a Robot-Assisted Minimally Invasive Surgery System |
| Human-Centric Clothing Segmentation | via | Deformable Semantic Locality-Preserving Network |
| Human-Factors-in-Driving-Loop: Driver Identification and Verification | via | a Deep Learning Approach using Psychological Behavioral Data |
| Human-Machine Shared Steering Control for Vehicle Lane Keeping Systems | via | a Fuzzy Observer-Based Event-Triggered Method |
| Human-Object Interaction Detection | via | Disentangled Transformer |
| Human-related anomalous event detection | via | memory-augmented Wasserstein generative adversarial network with gradient penalty |
| Hybrid Active Learning | via | Deep Clustering for Video Action Detection |
| hybrid and fast deep learning framework for Covid-19 detection | via | 3D Chest CT Images, A |
| Hybrid Approach | via | SRG and IDE for Volume Segmentation, A |
| Hybrid Compressive Sampling | via | a New Total Variation TVL1 |
| Hybrid Egocentric Activity Anticipation Framework | via | Memory-Augmented Recurrent and One-shot Representation Forecasting, A |
| Hybrid Linear Modeling | via | Local Best-Fit Flats |
| Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation | via | Triplane |
| Hybrid Page Layout Analysis | via | Tab-Stop Detection |
| Hybrid quantum-classical generative adversarial networks for image generation | via | learning discrete distribution |
| hybrid training approach for leaf area index estimation | via | Cubist and random forests machine-learning, A |
| Hybrid Video Anomaly Detection Framework | via | Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction, A |
| Hybrid-TransCD: A Hybrid Transformer Remote Sensing Image Change Detection Network | via | Token Aggregation |
| HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation | via | Hybrid Contrastive Regularization |
| Hyper-graph matching | via | reweighted random walks |
| HyperE2VID: Improving Event-Based Video Reconstruction | via | Hypernetworks |
| Hypergraph matching | via | game-theoretic hypergraph clustering |
| HyperInverter: Improving StyleGAN Inversion | via | Hypernetwork |
| Hyperlinking reality | via | camera phones |
| HyperMatch: Noise-Tolerant Semi-Supervised Learning | via | Relaxed Contrastive Constraint |
| HyperReenact: One-Shot Reenactment | via | Jointly Learning to Refine and Retarget Faces |
| Hyperspectral and Multispectral Image Fusion | via | Deep Two-Branches Convolutional Neural Network |
| Hyperspectral and Multispectral Image Fusion | via | Graph Laplacian-Guided Coupled Tensor Decomposition |
| Hyperspectral and Multispectral Image Fusion | via | Nonlocal Low-Rank Tensor Approximation and Sparse Representation |
| Hyperspectral and Multispectral Image Fusion | via | Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing |
| Hyperspectral Anomaly Detection | via | a Sparsity Score Estimation Framework |
| Hyperspectral Anomaly Detection | via | Background and Potential Anomaly Dictionaries Construction |
| Hyperspectral Anomaly Detection | via | Background Estimation and Adaptive Weighted Sparse Representation |
| Hyperspectral Anomaly Detection | via | Deep Plug-and-Play Denoising CNN Regularization |
| Hyperspectral anomaly detection | via | density peak clustering |
| Hyperspectral Anomaly Detection | via | Dictionary Construction-Based Low-Rank Representation and Adaptive Weighting |
| Hyperspectral Anomaly Detection | via | Discriminative Feature Learning with Multiple-Dictionary Sparse Representation |
| Hyperspectral Anomaly Detection | via | Dual Dictionaries Construction Guided by Two-Stage Complementary Decision |
| Hyperspectral Anomaly Detection | via | Graph Dictionary-Based Low Rank Decomposition with Texture Feature Extraction |
| Hyperspectral Anomaly Detection | via | Image Super-Resolution Processing and Spatial Correlation |
| Hyperspectral Anomaly Detection | via | Locally Enhanced Low-Rank Prior |
| Hyperspectral Anomaly Detection | via | Spatial Density Background Purification |
| Hyperspectral anomaly detection | via | weighted-sparsity-regularized tensor linear representation |
| Hyperspectral Band Selection | via | Band Grouping and Adaptive Multi-Graph Constraint |
| Hyperspectral Band Selection | via | Optimal Combination Strategy |
| Hyperspectral Band Selection | via | Optimal Neighborhood Reconstruction |
| Hyperspectral classification | via | learnt features |
| Hyperspectral Classification | via | Superpixel Kernel Learning-Based Low Rank Representation |
| Hyperspectral Classification With Noisy Label Detection | via | Superpixel-to-Pixel Weighting Distance |
| Hyperspectral Compressive Snapshot Reconstruction | via | Coupled Low-Rank Subspace Representation and Self-Supervised Deep Network |
| Hyperspectral Computational Imaging | via | Collaborative Tucker3 Tensor Decomposition |
| Hyperspectral Data Analysis and Supervised Feature Reduction | via | Projection Pursuit |
| Hyperspectral Denoising | via | Cross Total Variation-Regularized Unidirectional Nonlocal Low-Rank Tensor Approximation |
| Hyperspectral Image Classification | via | a Joint Weighted K-Nearest Neighbour Approach |
| Hyperspectral Image Classification | via | a Novel Spectral-Spatial 3D ConvLSTM-CNN |
| Hyperspectral image classification | via | a random patches network |
| Hyperspectral Image Classification | via | Basic Thresholding Classifier |
| Hyperspectral Image Classification | via | Compressive Sensing |
| Hyperspectral Image Classification | via | Convolutional Neural Network Based on Dilation Layers |
| Hyperspectral Image Classification | via | Deep Structure Dictionary Learning |
| Hyperspectral Image Classification | via | Discriminant Gabor Ensemble Filter |
| Hyperspectral image classification | via | discriminative convolutional neural network with an improved triplet loss |
| Hyperspectral Image Classification | via | Information Theoretic Dimension Reduction |
| Hyperspectral Image Classification | via | Kernel Basic Thresholding Classifier |
| Hyperspectral Image Classification | via | Kernel Sparse Representation |
| Hyperspectral Image Classification | via | Multi-Feature-Based Correlation Adaptive Representation |
| Hyperspectral Image Classification | via | Multitask Joint Sparse Representation and Stepwise MRF Optimization |
| Hyperspectral Image Classification | via | Pyramid Graph Reasoning |
| Hyperspectral image classification | via | shape-adaptive deep learning |
| Hyperspectral Image Classification | via | Spatial Shuffle-Based Convolutional Neural Network |
| Hyperspectral Image Classification | via | Spatial Window-Based Multiview Intact Feature Learning |
| Hyperspectral Image Classification | via | Spectral Pooling and Hybrid Transformer |
| Hyperspectral Image Classification | via | Superpixel Spectral Metrics Representation |
| Hyperspectral image clustering | via | sparse dictionary-based anchored regression |
| Hyperspectral Image Denoising | via | Adversarial Learning |
| Hyperspectral Image Denoising | via | Clustering-Based Latent Variable in Variational Bayesian Framework |
| Hyperspectral Image Denoising | via | Framelet Transformation Based Three-Modal Tensor Nuclear Norm |
| Hyperspectral Image Denoising | via | Group Sparsity Regularized Hybrid Spatio-Spectral Total Variation |
| Hyperspectral Image Denoising | via | Matrix Factorization and Deep Prior Regularization |
| Hyperspectral Image Denoising | via | Sparse Representation and Low-Rank Constraint |
| Hyperspectral image denoising | via | spectral noise distribution bootstrap |
| Hyperspectral Image Denoising | via | Weighted Multidirectional Low-Rank Tensor Recovery |
| Hyperspectral Image Recovery | via | Hybrid Regularization |
| Hyperspectral image restoration | via | CNN denoiser prior regularized low-rank tensor recovery |
| Hyperspectral Image Restoration | via | Global L1-2 Spatial-Spectral Total Variation Regularized Local Low-Rank Tensor Recovery |
| Hyperspectral Image Restoration | via | Iteratively Regularized Weighted Schatten p -Norm Minimization |
| Hyperspectral Image Restoration | via | Spatial-Spectral Residual Total Variation Regularized Low-Rank Tensor Decomposition |
| Hyperspectral Image Segmentation | via | Frequency-Based Similarity for Mixed Noise Estimation |
| Hyperspectral Image Spatial Super-Resolution | via | 3D Full Convolutional Neural Network |
| Hyperspectral Image Super-Resolution | via | Adaptive Dictionary Learning and Double L_1 Constraint |
| Hyperspectral Image Super-Resolution | via | Convolutional Neural Network |
| Hyperspectral Image Super-Resolution | via | Deep Prior Regularization With Parameter Estimation |
| Hyperspectral Image Super-Resolution | via | Deep Progressive Zero-Centric Residual Learning |
| Hyperspectral Image Super-Resolution | via | Intrafusion Network |
| Hyperspectral Image Super-Resolution | via | Knowledge-Driven Deep Unrolling and Transformer Embedded Convolutional Recurrent Neural Network |
| Hyperspectral Image Super-Resolution | via | Non-local Sparse Tensor Factorization |
| Hyperspectral Image Super-Resolution | via | Non-Negative Structured Sparse Representation |
| Hyperspectral Image Super-Resolution | via | Nonlocal Low-Rank Tensor Approximation and Total Variation Regularization |
| Hyperspectral Image Super-Resolution | via | Recurrent Feedback Embedding and Spatial-Spectral Consistency Regularization |
| Hyperspectral Image Super-Resolution | via | Subspace-Based Low Tensor Multi-Rank Regularization |
| Hyperspectral Imagery Classification | via | Stochastic HHSVMs |
| Hyperspectral Imagery Denoising | via | Reweighed Sparse Low-Rank Nonnegative Tensor Factorization |
| Hyperspectral Images Denoising | via | Nonconvex Regularized Low-Rank and Sparse Matrix Decomposition |
| Hyperspectral Inversion Model of Relative Heavy Metal Content in Pennisetum sinese Roxb | via | EEMD-db3 Algorithm |
| Hyperspectral Mixed Denoising | via | Spectral Difference-Induced Total Variation and Low-Rank Approximation |
| Hyperspectral Multispectral Image Fusion | via | Fast Matrix Truncated Singular Value Decomposition |
| Hyperspectral remote sensing IQA | via | learning multiple kernels from mid-level features |
| Hyperspectral Restoration and Fusion With Multispectral Imagery | via | Low-Rank Tensor-Approximation |
| Hyperspectral Restoration | via | L_0 Gradient Regularized Low-Rank Tensor Factorization |
| Hyperspectral Scene Analysis | via | Structure from Motion |
| Hyperspectral super-resolution | via | coupled tensor ring factorization |
| Hyperspectral Super-Resolution | via | Global-Local Low-Rank Matrix Estimation |
| Hyperspectral Super-Resolution | via | Joint Regularization of Low-Rank Tensor Decomposition |
| Hyperspectral Target Detection | via | Adaptive Information-Theoretic Metric Learning with Local Constraints |
| Hyperspectral Target Detection | via | Adaptive Joint Sparse Representation and Multi-Task Learning with Locality Information |
| Hyperspectral Unmixing | via | Double Abundance Characteristics Constraints Based NMF |
| Hyperspectral Unmixing | via | Latent Multiheterogeneous Subspace |
| Hyperspectral Unmixing | via | Low-Rank Representation with Space Consistency Constraint and Spectral Library Pruning |
| Hyperspectral Unmixing | via | L_1/2 Sparsity-Constrained Nonnegative Matrix Factorization |
| Hyperspectral Unmixing | via | Noise-Free Model |
| Hyperspectral Unmixing | via | Plug-And-Play Priors |
| Hyperspectral Unmixing | via | Total Variation Regularized Nonnegative Tensor Factorization |
| Hyperspectral Unmixing With Endmember Variability | via | Alternating Angle Minimization |
| Hypersurface Fitting | via | Jacobian Nonlinear PCA on Riemannian Space |
| I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing | via | Raytracing in Neural SDFs |
| I2D-Loc: Camera localization | via | image to LiDAR depth flow |
| iCaps: An Interpretable Classifier | via | Disentangled Capsule Networks |
| Ice hockey player identification | via | transformers and weakly supervised learning |
| ICE-NeRF: Interactive Color Editing of NeRFs | via | Decomposition-Aware Weight Optimization |
| Iconic-based Retrieval of Grocery Images | via | Siamese Neural Network |
| IDEA-Net: Dynamic 3D Point Cloud Interpolation | via | Deep Embedding Alignment |
| Ideal spatial adaptation | via | wavelets shrinkage |
| Identifiable Face Privacy Protection | via | Virtual Identity Transformation |
| identification based indirect iterative learning control | via | data-driven approach, An |
| Identification of Class a Noise Parameters | via | Least Square Gradient Method |
| Identification of plant disease images | via | a squeeze-and-excitation MobileNet model and twice transfer learning |
| Identification of Village Building | via | Google Earth Images and Supervised Machine Learning Methods |
| Identify autism spectrum disorder | via | dynamic filter and deep spatiotemporal feature extraction |
| Identify Complex Imaging Genetic Patterns | via | Fusion Self-Expressive Network Analysis |
| Identifying Ambiguous Similarity Conditions | via | Semantic Matching |
| Identifying and matching 12-level multistained glomeruli | via | deep learning for diagnosis of glomerular diseases |
| Identifying Autism Spectrum Disorder With Multi-Site fMRI | via | Low-Rank Domain Adaptation |
| Identifying computer generated graphics | via | histogram features |
| Identifying High Order Brain Connectome Biomarkers | via | Learning on Hypergraph |
| Identifying High Stranding Risk Areas of the Yangtze Finless Porpoise | via | Remote Sensing and Hydrodynamic Modeling |
| Identifying Missing Children: Face Age-Progression | via | Deep Feature Aging |
| Identifying Seismic Anomalies | via | Wavelet Maxima Analysis of Satellite Microwave Brightness Temperature Observations |
| Identifying Sources of Error in Underwater Photogrammetry | via | Sensitivity Analysis |
| Identifying Successful Motor Task Completion | via | Motion-Based Performance Metrics |
| Identifying the Lambertian Property of Ground Surfaces in the Thermal Infrared Region | via | Field Experiments |
| Identity Verification | via | the 3Bid Face Alignment System |
| Identity-Aware Facial Expression Recognition | via | Deep Metric Learning Based on Synthesized Images |
| Identity-Preserving Face Hallucination | via | Deep Reinforcement Learning |
| IDR: Self-Supervised Image Denoising | via | Iterative Data Refinement |
| IFSeg: Image-free Semantic Segmentation | via | Vision-Language Model |
| IGReg: Image-Geometry-Assisted Point Cloud Registration | via | Selective Correlation Fusion |
| IID-Net: Image Inpainting Detection Network | via | Neural Architecture Search and Attention |
| Illuminance Compensation and Texture Enhancement | via | the Hodge Decomposition |
| Illuminant Change Estimation | via | Minimization of Color Histogram Divergence |
| Illuminate Low-Light Image | via | Coarse-to-Fine Multi-Level Network |
| Illuminating Pedestrians | via | Simultaneous Detection and Segmentation |
| Illumination and pose variable face recognition | via | adaptively weighted ULBP_MHOG and WSRC |
| Illumination compensation | via | low rank matrix completion for multiview video coding |
| Illumination estimation | via | thin-plate spline interpolation |
| Illumination Recovery From Image With Cast Shadows | via | Sparse Representation |
| Illumination Robust Color Naming | via | Label Propagation |
| Illumination Robust Facial Feature Detection | via | Decoupled Illumination and Texture Features |
| Illumination-Guided Video Composition | via | Gradient Consistency Optimization |
| Illumination-insensitive image representation | via | synergistic weighted center-surround receptive field model and Weber law |
| Illumination-Invariant Color Object Recognition | via | Compressed Chromaticity Histograms of Color-Channel-Normalized Images |
| Illumination-Invariant Color Object Recognition | via | Compressed Chromaticity Histograms of Normalized Images |
| Illumination-Invariant Face Representation | via | Normalized Structural Information |
| Illumination-Invariant Flotation Froth Color Measuring | via | Wasserstein Distance-Based CycleGAN With Structure-Preserving Constraint |
| Illumination-Invariant Tracking | via | Graph Cuts |
| Illumination-robust face recognition | via | sparse representation |
| Illusory Shapes | via | Corner Fusion |
| Illusory Shapes | via | First-Order Phase Transition and Approximation |
| Image Alignment by Online Robust PCA | via | Stochastic Gradient Descent |
| Image Analysis | via | the General Theory of Moments |
| Image and Boundary Segmentation | via | Minimal-Length Encoding on the Connection Machine |
| Image and Sentence Matching | via | Semantic Concepts and Order Learning |
| Image and Video Restorations | via | Nonlocal Kernel Regression |
| Image and video spatial super-resolution | via | bandlet-based sparsity regularization and structure tensor |
| Image annotation | via | deep neural network |
| Image annotation | via | graph learning |
| Image annotation | via | learning the image-label interrelations |
| Image approximation and modeling | via | least statistically dependent bases |
| Image atlas construction | via | intrinsic averaging on the manifold of images |
| Image Authentication and Integrity Verification | via | Content-based Watermarks and a Public Key Cryptosystem |
| Image automatic annotation | via | multi-view deep representation |
| Image Based Approaches for Tunnels' Defects Recognition | via | Robotic Inspectors |
| Image based rendering technique | via | sparse representation in shearlet domain |
| Image Bit-Depth Enhancement | via | Maximum A Posteriori Estimation of AC Signal |
| Image bit-depth enhancement | via | maximum-a-posteriori estimation of graph AC component |
| Image Blur Reduction for Cell-Phone Cameras | via | Adaptive Tonal Correction |
| Image captioning | via | proximal policy optimization |
| Image Captioning with Sentiment Terms | via | Weakly-Supervised Sentiment Dataset |
| Image categorization | via | robust pLSA |
| Image Class Segmentation | via | Conditional Random Field over Weighted Histogram Classifier |
| Image Classification for Mapping Oil Palm Distribution | via | Support Vector Machine Using Scikit-learn Module |
| Image classification towards transmission line fault detection | via | learning deep quality-aware fine-grained categorization |
| Image Classification | via | Object-Aware Holistic Superpixel Selection |
| Image Classification | via | Semi-supervised Feature Extraction with Out-of-Sample Extension |
| Image classification | via | SVM using in-between universum samples |
| Image classifier learning from noisy labels | via | generalized graph smoothness priors |
| Image Clustering | via | Deep Embedded Dimensionality Reduction and Probability-Based Triplet Loss |
| Image Co-Saliency Detection and Co-Segmentation | via | Progressive Joint Optimization |
| Image Co-segmentation | via | Consistent Functional Maps |
| Image Co-segmentation | via | Saliency Co-fusion |
| Image Co-Skeletonization | via | Co-Segmentation |
| Image Coding | via | Morphological Transformations: A General Theory |
| Image Coding | via | Perceptually Inspired Graph Learning |
| Image collection summarization | via | dictionary learning for sparse representation |
| Image colorization | via | color propagation and rank minimization |
| Image Comparison and Scaling | via | Nonlinear Elasticity |
| Image Completion Using Efficient Belief Propagation | via | Priority Scheduling and Dynamic Pruning |
| Image completion using prediction concept | via | support vector regression |
| Image Compressed Sensing Reconstruction | via | Deep Image Prior With Structure-Texture Decomposition |
| Image compression | via | improved quadtree decomposition algorithms |
| Image Compression | via | Joint Statistical Characterization in the Wavelet Domain |
| Image compressive sensing using group sparse representation | via | truncated nuclear norm minimization |
| Image compressive sensing | via | hybrid regularization combining centralized group sparse representation and deep denoiser prior |
| Image compressive sensing | via | Truncated Schatten-p Norm regularization |
| Image congealing | via | efficient feature selection |
| Image contrast enhancement | via | entropy production |
| Image Copy Detection | via | Grouping in Feature Space Based on Virtual Prior Attacks |
| Image Copy-Move Forgery Detection | via | an End-to-End Deep Neural Network |
| Image Correction | via | Deep Reciprocating HDR Transformation |
| Image Cosegmentation | via | Multi-task Learning |
| Image Coupling, Restoration and Enhancement | via | PDE's |
| Image De-noising | via | Overlapping Wavelet Atoms |
| Image de-quantization | via | spatially varying sparsity prior |
| Image deblocking | via | shape-adaptive low-rank prior and sparsity-based detail enhancement |
| Image deblocking | via | sparse representation |
| Image deblurring | via | enhanced local maximum intensity prior |
| Image Deblurring | via | Enhanced Low-Rank Prior |
| Image Deblurring | via | Extreme Channels Prior |
| Image decomposition and texture analysis | via | combined bi-dimensional Bedrosian's principles |
| Image Decomposition and Texture Segmentation | via | Sparse Representation |
| Image decomposition | via | learning the morphological diversity |
| Image decomposition | via | the combination of sparse representations and a variational approach |
| Image Deconvolution Ringing Artifact Detection and Removal | via | PSF Frequency Analysis |
| Image deconvolution | via | superfast inversion of a class of two-level Toeplitz matrices |
| Image dehazing method | via | a cycle generative adversarial network |
| Image Dehazing | via | Pyramid Exposure Fusion |
| Image denoising algorithm | via | best wavelet packet base using Wiener cost function |
| Image denoising algorithm | via | doubly local Wiener filtering with directional windows in wavelet domain |
| Image Denoising in Nonlinear Scale-Spaces: Automatic Scale Selection | via | Cross-Validation |
| Image denoising | via | 2D dictionary learning and adaptive hard thresholding |
| Image denoising | via | a new anisotropic total-variation-based model |
| Image denoising | via | adaptive soft-thresholding based on non-local samples |
| Image Denoising | via | Adjustment of Wavelet Coefficient Magnitude Correlation |
| Image Denoising | via | Bandwise Adaptive Modeling and Regularization Exploiting Nonlocal Similarity |
| Image Denoising | via | CNNs: An Adversarial Approach |
| Image denoising | via | coded aperture photography |
| Image denoising | via | correlation-based sparse representation |
| Image Denoising | via | Improved Sparse Coding |
| Image denoising | via | K-SVD with primal-dual active set algorithm |
| Image Denoising | via | Learned Dictionaries and Sparse representation |
| Image denoising | via | local and nonlocal circulant similarity |
| Image Denoising | via | Lossy Compression and Wavelet Thresholding |
| Image Denoising | via | Low Rank Regularization Exploiting Intra and Inter Patch Correlation |
| Image Denoising | via | Multiscale Nonlinear Diffusion Models |
| Image denoising | via | patch-based adaptive Gaussian mixture prior method |
| Image Denoising | via | Sequential Ensemble Learning |
| Image Denoising | via | Sparse and Redundant Representations Over Learned Dictionaries |
| Image denoising | via | sparse approximation using eigenvectors of graph Laplacian |
| Image Description | via | the Multiresolution Intensity Axis of Symmetry |
| Image Desnowing | via | Deep Invertible Separation |
| Image despeckling and deblurring | via | regularized complex diffusion |
| Image downscaling | via | co-occurrence learning |
| Image Editing | via | Segmentation Guided Self-Attention Network |
| Image Encryption | via | Complementary Embedding Algorithm and New Spatiotemporal Chaotic System |
| Image encryption | via | discrete fractional Fourier-type transforms generated by random matrices |
| Image enhancement method | via | blur and noisy image fusion |
| Image Enhancement | via | Adaptive Unsharp Masking |
| Image Enhancement | via | Fusion Based on Laplacian Pyramid Directional Filter Banks |
| Image enhancement | via | texture protection Retinex |
| Image Feature Matching | via | Progressive Vector Field Consensus |
| Image Forgery Detection | via | Forensic Similarity Graphs |
| Image Fusion and Enhancement | via | Empirical Mode Decomposition |
| Image Fusion for Spatial Enhancement of Hyperspectral Image | via | Pixel Group Based Non-Local Sparse Representation |
| Image fusion | via | dynamic gradient sparsity and anisotropic spectral-spatial total variation |
| Image fusion | via | feature residual and statistical matching |
| Image fusion | via | sparse regularization with non-convex penalties |
| Image Generation From Small Datasets | via | Batch Statistics Adaptation |
| Image guided depth enhancement | via | deep fusion and local linear regularizaron |
| Image Hashing Algorithm | via | Iterative Scale Interaction Geometric Model |
| Image Hashing | via | Linear Discriminant Learning |
| Image Haze Removal | via | Reference Retrieval and Scene Prior |
| Image Hiding and Restoration | via | Deep Moire Networks |
| Image Inpainting Through Metric Labeling | via | Guided Patch Mixing |
| Image Inpainting | via | Conditional Texture and Structure Dual Generation |
| Image inpainting | via | spatial projections |
| Image inpainting | via | Weighted Sparse Non-negative Matrix Factorization |
| Image interpolation from Manhattan cutset samples | via | orthogonal gradient method |
| Image Interpolation | via | Graph-Based Bayesian Label Propagation |
| Image Interpolation | via | Low-Rank Matrix Completion and Recovery |
| Image Interpolation | via | Regularized Local Linear Regression |
| Image interpretation of topographic maps on a medium scale | via | frame-based modelling |
| Image labeling | via | incremental model learning |
| Image Matching Optimization | via | Vision And Inertial Data Fusion: Application To Navigation Of The Visually Impaired |
| Image Matching Using Enhancement Offsets With Adaptive Parameter Selection | via | Histogram Analysis |
| Image Matching | via | Saliency Region Correspondences |
| Image Matting | via | Local Tangent Space Alignment |
| Image modeling and enhancement | via | structured sparse model selection |
| Image mosaicing | via | quadric surface estimation with priors for tunnel inspection |
| Image Multi-Inpainting | via | Progressive Generative Adversarial Networks |
| Image Noise Reduction | via | Geometric Multiscale Ridgelet Support Vector Transform and Dictionary Learning |
| Image Outlier Detection and Feature Extraction | via | L1-Norm-Based 2D Probabilistic PCA |
| Image quality assessment | via | spatial-transformed domains multi-feature fusion |
| Image quality improvement of 8K LCD displays | via | process optimization |
| Image Quality Score Distribution Prediction | via | Alpha Stable Model |
| Image Quality-aware Diagnosis | via | Meta-knowledge Co-embedding |
| Image recognition | via | two-dimensional random projection and nearest constrained subspace |
| Image reconstruction by Krawtchouk moments | via | digital filter |
| Image reconstruction from a Manhattan grid | via | piecewise plane fitting and Gaussian Markov random fields |
| Image Recovery | via | Diffusion Tensor and Time-Delay Regularization |
| Image Recovery | via | Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers |
| Image Reflection Removal | via | Contextual Feature Fusion Pyramid and Task-Driven Regularization |
| Image region re-weighting | via | multiple instance learning |
| Image Registration of Very Large Images | via | Genetic Programming |
| Image Representations | via | a Finite Radon Transformation |
| Image Resolution Enhancement | via | Data-Driven Parametric Models in the Wavelet Space |
| Image resolution up-conversion | via | maximum a posteriori interpolator sequence estimation and Viterbi algorithm |
| Image restoration | via | Bayesian dictionary learning with nonlocal structured beta process |
| Image restoration | via | Bayesian structured sparse coding |
| Image Restoration | via | Deep-Structured Stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for Very Low-Light Conditions |
| Image restoration | via | DOST and total variation regularisation |
| Image restoration | via | efficient Gaussian mixture model learning |
| Image restoration | via | exponential scale mixture-based simultaneous sparse prior |
| Image Restoration | via | Fast Computing of the Moore-Penrose Inverse Matrix |
| Image Restoration | via | Frequency Selection |
| Image Restoration | via | Multi-prior Collaboration |
| Image restoration | via | N-nearest neighbour classification |
| Image Restoration | via | Reconciliation of Group Sparsity and Low-Rank Models |
| Image Restoration | via | Simultaneous Nonlocal Self-Similarity Priors |
| Image Restoration | via | Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian Scale Mixture |
| Image Retargeting | via | Beltrami Representation |
| Image Retrieval and Ranking | via | Consistently Reconstructing Multi-attribute Queries |
| Image Retrieval for Visual Localization | via | Scene Text Detection and Logo Filtering |
| Image retrieval | via | connecting words to salient objects |
| Image Retrieval | via | Gated Multiscale NetVLAD for Social Media Applications |
| Image Retrieval | via | Isotropic and Anisotropic Mappings |
| Image retrieval | via | probabilistic hypergraph ranking |
| Image Retrieval With Lingual And Visual Paraphrasing | via | Generative Models |
| Image Retrieval: Modelling Keywords | via | Low-level Features |
| Image saliency detection | via | multi-scale iterative CNN |
| Image saliency detection | via | multi-scale statistical non-redundancy modeling |
| Image saliency estimation | via | random walk guided by informativeness and latent signal correlations |
| Image search results refinement | via | outlier detection using deep contexts |
| Image Segmentation and Analysis | via | Multiscale Gradient Watershed Hierarchies |
| Image segmentation based on weighting boundary information | via | graph cut |
| Image segmentation by fusion of low level and domain specific information | via | Markov Random Fields |
| Image Segmentation of Drosophila's Compound Eyes | via | Two-Dimensional Otsu Thresholding on the Basis of AGA |
| Image Segmentation | via | Adaptive K-Mean Clustering And Knowledge-Based Morphological Operations With Biomedical Applications |
| Image segmentation | via | brittle fracture mechanics |
| Image segmentation | via | coherent clustering in L*a*b* color space |
| Image segmentation | via | convolution of a level-set function with a Rigaut Kernel |
| Image segmentation | via | edge contour finding: a graph theoretic approach |
| Image Segmentation | via | Functionals Based on Boundary Functions |
| Image segmentation | via | fuzzy Connectedness Computation and Edge Detection in Medical application |
| Image segmentation | via | image decomposition and fuzzy region competition |
| Image Segmentation | via | Iterative Histogram Thresholding and Morphological Features Analysis |
| Image segmentation | via | local higher order statistics |
| Image segmentation | via | multi-scale stochastic regional texture appearance models |
| Image Segmentation | via | Multiple Active Contour Models and Fuzzy Clustering with Biomedical Applications |
| Image Segmentation | via | Multiresolution Diffused Expectation-Maximisation |
| Image Segmentation | via | Probabilistic Graph Matching |
| Image segmentation | via | self-organising fusion |
| Image Segmentation | via | Weighted Carving Decompositions |
| Image Segmentation with Depth Information | via | Simplified Variational Level Set Formulation |
| Image Segmentation with Elastic Shape Priors | via | Global Geodesics in Product Spaces |
| Image Sequence Analysis | via | Partial Differential Equations |
| Image Sequence Denoising | via | Sparse and Redundant Representations |
| Image Set Classification | via | Template Triplets and Context-Aware Similarity Embedding |
| Image Sharpening | via | Sobolev Gradient Flows |
| Image smoothing | via | a scale-aware filter and L_0 norm |
| Image Smoothing | via | Gradient Sparsity and Surface Area Minimization |
| Image Smoothing | via | Multiscale Global Perception |
| Image smoothing | via | truncated L0 gradient regularisation |
| Image sorting | via | a reduction in travelling salesman problem |
| Image Splicing Detection | via | Camera Response Function Analysis |
| Image Splicing Localization | via | Semi-global Network and Fully Connected Conditional Random Fields |
| Image Super-Resolution Reconstruction | via | L1_2 and S1_2 Regularizations |
| Image super-resolution | via | 2D tensor regression learning |
| Image Super-Resolution | via | a Novel Cascaded Convolutional Neural Network Framework |
| Image super-resolution | via | adaptive sparse representation and self-learning |
| Image Super-Resolution | via | Analysis Sparse Prior |
| Image Super-Resolution | via | Attention Based Back Projection Networks |
| Image super-resolution | via | channel attention and spatial graph convolutional network |
| Image Super-Resolution | via | Deep Dilated Convolutional Networks |
| Image Super-Resolution | via | Deep Recursive Residual Network |
| Image Super-Resolution | via | Double Sparsity Regularized Manifold Learning |
| Image Super-Resolution | via | Dual-State Recurrent Networks |
| Image super-resolution | via | feature-augmented random forest |
| Image Super-Resolution | via | Iterative Refinement |
| Image Super-Resolution | via | Local Self-Learning Manifold Approximation |
| Image Super-Resolution | via | Non-Local Steering Kernel Regression Regularization |
| Image super-resolution | via | nonlocal similarity and group structured sparse representation |
| Image Super-Resolution | via | Progressive Cascading Residual Network |
| Image Super-Resolution | via | Residual Block Attention Networks |
| Image Super-Resolution | via | Sparse Representation |
| Image super-resolution | via | sparse representation over multiple learned dictionaries based on edge sharpness |
| Image super-resolution | via | sparse representation over multiple learned dictionaries based on edge sharpness and gradient phase angle |
| Image synthesis | via | adversarial geometric consistency pursuit |
| Image Synthesis | via | Semantic Composition |
| Image tag completion | via | dual-view linear sparse reconstructions |
| Image Tag Completion | via | Image-Specific and Tag-Specific Linear Sparse Reconstructions |
| Image Taken Place Estimation | via | Geometric Constrained Spatial Layer Matching |
| Image Transmission | via | LoRa Networks: A Survey |
| Image Understanding | via | Geometric Models |
| Image understanding | via | learning weakly-supervised cross-modal semantic translation |
| Image Understanding | via | Representation of the Projected Motion Group |
| Image Understanding | via | Texture Analysis |
| Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation | via | Association Learning |
| Image upsampling | via | texture hallucination |
| Image visual attention computation and application | via | the learning of object attributes |
| Image-Adaptive Hint Generation | via | Vision Transformer for Outpainting |
| Image-Based 3D Modeling | via | Cheeger Sets |
| Image-Based Quantitative Analysis of Gold Immunochromatographic Strip | via | Cellular Neural Network Approach |
| Image-free Domain Generalization | via | CLIP for 3D Hand Pose Estimation |
| Image-Guided Human Reconstruction | via | Multi-Scale Graph Transformation Networks |
| Image-processing approach | via | nonlinear image-decomposition for a digital color camera |
| Image-Text Embedding Learning | via | Visual and Textual Semantic Reasoning |
| Image-Text Multimodal Emotion Classification | via | Multi-View Attentional Network |
| Image-To-Image Translation | via | Group-Wise Deep Whitening-And-Coloring Transformation |
| Image-to-image Translation | via | Hierarchical Style Disentanglement |
| Image-to-Video Generation | via | 3D Facial Dynamics |
| Image2song: Song Retrieval | via | Bridging Image Content and Lyric Words |
| ImageNet-E: Benchmarking Neural Network Robustness | via | Attribute Editing |
| ImagePairs: Realistic Super Resolution Dataset | via | Beam Splitter Camera Rig |
| Imaging Enhancement | via | CNN in MIMO Virtual Array-Based Radar |
| Imaging of Single and Double Scatterers in Urban Areas | via | SAR Tomography |
| Imaging the Internal Structure of an Alpine Glacier | via | L-Band Airborne SAR Tomography |
| Imaging | via | three-dimensional compressive sampling (3DCS) |
| Imbalanced Open Set Domain Adaptation | via | Moving-Threshold Estimation and Gradual Alignment |
| ImFusion: Boosting Two-Stage 3D Object Detection | via | Image Candidates |
| img2pose: Face Alignment and Detection | via | 6DoF, Face Pose Estimation |
| Imitation Learning as State Matching | via | Differentiable Physics |
| Impact Assessing of Traffic Lights | via | GPS Vehicle Trajectories |
| Implementing continuous-scale morphology | via | curve evolution |
| Implicit Arbitrary Shape Visual Objects | via | MPEG-4 Scene Description |
| Implicit Neural Head Synthesis | via | Controllable Local Deformation Fields |
| Important Scene Detection Of Baseball Videos | via | Time-Lag Aware Deep Multiset Canonical Correlation Maximization |
| Improve Deep Unsupervised Hashing | via | Structural and Intrinsic Similarity Learning |
| Improve object detection | via | a multi-feature and multi-task CNN model |
| Improve robustness of image watermarking | via | adaptive receiving |
| Improve scene categorization | via | sub-scene recognition |
| Improve security of fragile watermarking | via | parameterized wavelet |
| Improve Unsupervised Deep Hashing | via | Masked Contrastive Learning |
| Improved AdaBoost-Based Image Retrieval with Relevance Feedback | via | Paired Feature Learning |
| Improved Adversarial Training | via | Learned Optimizer |
| Improved anomaly detection in crowded scenes | via | cell-based analysis of foreground speed, size and texture |
| Improved Audio-Visual Speaker Recognition | via | the Use of a Hybrid Combination Strategy |
| Improved building detection by Gaussian processes classification | via | feature space rescale and spectral kernel selection |
| Improved channel attention methods | via | hierarchical pooling and reducing information loss |
| Improved Color Mood Blending Between Images | via | Fuzzy Relationship, An |
| Improved DC Estimation for JPEG Compression | via | Convex Relaxation |
| Improved Denoising | via | Poisson Mixture Modeling of Image Sensor Noise |
| Improved Depth Recovery In Consumer Depth Cameras | via | Disparity Space Fusion within Cross-spectral Stereo |
| Improved domain adaptive object detector | via | adversarial feature learning |
| Improved Edge Representation | via | Early Recurrent Inhibition |
| Improved facial expression recognition | via | uni-hyperplane classification |
| Improved Facial-Feature Detection for AVSP | via | Unsupervised Clustering and Discriminant Analysis |
| Improved fine structure modeling | via | guided stochastic clique formation in fully connected conditional random fields |
| Improved Foreground Detection | via | Block-Based Classifier Cascade With Probabilistic Decision Integration |
| Improved GrabCut Segmentation | via | GMM Optimisation |
| Improved H.263+ rate control | via | variable frame rate adjustment and hybrid I-frame coding |
| Improved Image Captioning | via | Policy Gradient optimization of SPIDEr |
| Improved Image Matting | via | Real-time User Clicks and Uncertainty Estimation |
| Improved Image Set Classification | via | Joint Sparse Approximated Nearest Subspaces |
| Improved kernel-based limited-view CT reconstruction | via | anisotropic diffusion |
| Improved Knowledge Transfer for Semi-supervised Domain Adaptation | via | Trico Training Strategy |
| improved local feature descriptor | via | soft binning, An |
| Improved Mapping of Potentially Toxic Elements in Soil | via | Integration of Multiple Data Sources and Various Geostatistical Methods |
| Improved Model to Obtain Some Statistical Properties of Surface Slopes | via | Remote Sensing Using Variable Reflection Angle, An |
| Improved MR image denoising | via | low- rank approximation and Laplacian-of-Gaussian edge detector |
| Improved object tracking | via | joint color-LPQ texture histogram based mean shift algorithm |
| Improved Power Management Under Uncertain Driving Conditions for Plug-In Hybrid Electric Vehicles | via | Intelligent Controller |
| Improved Prediction | via | Thresholding Transform Coefficients |
| Improved robustness of vision transformers | via | prelayernorm in patch embedding |
| Improved Satellite Retrieval of Tropospheric NO2 Column Density | via | Updating of Air Mass Factor (AMF): Case Study of Southern China |
| Improved Semantic Stixels | via | Multimodal Sensor Fusion |
| Improved Single Image De-Hazing | via | Sky Region Detection, Classification and Illumination Refinement |
| Improved Solution to the L_0 Regularized Optimization Problem | via | Dictionary-Reduced Initial Guess |
| Improved specular regions localization and optical-flow based motion estimation | via | joint processing |
| Improved Statistically Based Retrievals | via | Spatial-Spectral Data Compression for IASI Data |
| Improved subspace clustering | via | exploitation of spatial constraints |
| Improved two-bit transform-based motion estimation | via | extension of matching criterion |
| Improved Understanding of Trade-Offs and Synergies in Ecosystem Services | via | Fine Land-Use Classification and Multi-Scale Analysis in the Arid Region of Northwest China |
| Improved Wavelet Decoding | via | Set Theoretic Estimation |
| Improvement Of Colorization Realism | via | The Structure Tensor |
| Improvement of moving objects tracking | via | modified particle distribution in particle filter algorithm |
| Improving 3D Human Pose Estimation | via | 3D Part Affinity Fields |
| Improving Action Segmentation | via | Graph-Based Temporal Reasoning |
| Improving Adaptive Real-Time Video Communication | via | Cross-Layer Optimization |
| Improving Adversarial Robustness of Masked Autoencoders | via | Test-time Frequency-domain Prompting |
| Improving Adversarial Robustness | via | Guided Complement Entropy |
| Improving Adversarial Transferability | via | Feature Translation |
| Improving Adversarial Transferability | via | Neuron Attribution-based Attacks |
| Improving Anatomical Plausibility in Medical Image Segmentation | via | Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis |
| Improving angular error | via | systematically designed near-circular Gaussian-based feature extraction operators |
| Improving Blood Vessel Tortuosity Measurements | via | Highly Sampled Numerical Integration of the Frenet-Serret Equations |
| Improving Children's Gaze Prediction | via | Separate Facial Areas and Attention Shift Cue |
| Improving Chinese Reading Comprehensions of Dyslexic Children | via | VR Reading |
| Improving classifier fusion | via | Pool Adjacent Violators normalization |
| Improving Commonsense in Vision-Language Models | via | Knowledge Graph Riddles |
| Improving Compression Artifact Reduction | via | End-to-End Learning of Side Information |
| Improving context-sensitive similarity | via | smooth neighborhood for object retrieval |
| Improving Convergence of Restricted Boltzmann Machines | via | a Learning Adaptive Step Size |
| Improving Convolutional Neural Network Design | via | Variable Neighborhood Search |
| Improving Cross-Domain Concept Detection | via | Object-Based Features |
| Improving Data-Efficient Fossil Segmentation | via | Model Editing |
| Improving De-raining Generalization | via | Neural Reorganization |
| Improving defocus blur detection | via | adaptive supervision prior-tokens |
| Improving Denoising Algorithms | via | a Multi-scale Meta-procedure |
| Improving Document Binarization | via | Adversarial Noise-Texture Augmentation |
| Improving Efficient Semantic Segmentation Networks by Enhancing Multi-scale Feature Representation | via | Resolution Path Based Knowledge Distillation and Pixel Shuffle |
| Improving ellipse fitting | via | multi-scale smoothing and key-point searching |
| Improving embedding efficiency | via | matrix embedding: A case study |
| Improving End-to-End Contextual Speech Recognition | via | a Word-Matching Algorithm With Backward Search |
| Improving Existing Collaborative Filtering Recommendations | via | Serendipity-Based Algorithm |
| Improving Face Recognition from Hard Samples | via | Distribution Distillation Loss |
| Improving Facial Landmark Detection | via | a Super-Resolution Inception Network |
| Improving Fairness in Facial Albedo Estimation | via | Visual-Textual Cues |
| Improving Few-Shot User-Specific Gaze Adaptation | via | Gaze Redirection Synthesis |
| Improving Fine-Grained Visual Recognition in Low Data Regimes | via | Self-boosting Attention Mechanism |
| Improving Frequency Domain Super-Resolution | via | Undersampling Model |
| Improving Generalization in Visual Reinforcement Learning | via | Conflict-aware Gradient Agreement Augmentation |
| Improving Generalization of Adversarial Training | via | Robust Critical Fine-Tuning |
| Improving Generalization | via | Scalable Neighborhood Component Analysis |
| Improving generalized zero-shot learning | via | cluster-based semantic disentangling representation |
| Improving Geological Remote Sensing Interpretation | via | Optimal Transport-Based Point-Surface Data Fusion |
| Improving Graph Matching | via | Density Maximization |
| Improving Graph Neural Network Expressivity | via | Subgraph Isomorphism Counting |
| Improving Graph Representation for Point Cloud Segmentation | via | Attentive Filtering |
| Improving Handwritten Mathematical Expression Recognition | via | Similar Symbol Distinguishing |
| Improving hybrid coding | via | control of quantization errors in the spatial and frequency domains |
| Improving Iris Recognition Accuracy | via | Cascaded Classifiers |
| Improving Knowledge Distillation | via | Category Structure |
| Improving Lightweight AdderNet | via | Distillation from L2 to L1-norm |
| Improving Low-Precision Network Quantization | via | Bin Regularization |
| Improving Methodology for Tropical Cyclone Seasonal Forecasting in the Australian and the South Pacific Ocean Regions by Selecting and Averaging Models | via | Metropolis-Gibbs Sampling |
| Improving Mountainous Snow Cover Fraction Mapping | via | Artificial Neural Networks Combined With MODIS and Ancillary Topographic Data |
| Improving Multi-Site Autism Classification | via | Site-Dependence Minimization and Second-Order Functional Connectivity |
| Improving multi-target tracking | via | social grouping |
| Improving Multi-View Stereo | via | Super-Resolution |
| Improving Multimedia Content Delivery | via | Augmentation With Social Information: The Social Prefetcher Approach |
| Improving neighborhood based Collaborative Filtering | via | integrated folksonomy information |
| Improving Neural Network Efficiency | via | Post-training Quantization with Adaptive Floating-Point |
| Improving neural ordinary differential equations | via | knowledge distillation |
| Improving Nighttime Driving-Scene Segmentation | via | Dual Image-Adaptive Learnable Filters |
| Improving non-negative matrix factorization | via | ranking its bases |
| Improving Object Classification Performance | via | Confusing Categories Study |
| Improving object detection with deep convolutional networks | via | Bayesian optimization and structured prediction |
| Improving Optoacoustic Image Quality | via | Geometric Pixel Super-Resolution Approach |
| Improving Pairwise PEE | via | Hybrid-Dimensional Histogram Generation and Adaptive Mapping Selection |
| Improving Performance | via | Post Track Analysis |
| Improving Person Re-identification | via | Pose-Aware Multi-shot Matching |
| Improving Pest Detection | via | Transfer Learning |
| Improving point cloud classification and segmentation | via | parametric veronese mapping |
| Improving RGB-D Salient Object Detection | via | Modality-Aware Decoder |
| Improving Road Surface Area Extraction | via | Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations |
| Improving Robotic Grasping on Monocular Images | via | Multi-Task Learning and Positional Loss |
| Improving Robustness of DNNs against Common Corruptions | via | Gaussian Adversarial Training |
| Improving Robustness of Quantization-Based Image Watermarking | via | Adaptive Receiver |
| Improving Robustness to Texture Bias | via | Shape-focused Augmentation |
| Improving Saliency Detection | via | Multiple Kernel Boosting and Adaptive Fusion |
| Improving Satellite Image Fusion | via | Generative Adversarial Training |
| Improving Self-Supervised Learning for Out-Of-Distribution Task | via | Auxiliary Classifier |
| Improving Self-supervised Lightweight Model Learning | via | Hard-Aware Metric Distillation |
| Improving Semantic Analysis on Point Clouds | via | Auxiliary Supervision of Local Geometric Priors |
| Improving Semantic Segmentation | via | Decoupled Body and Edge Supervision |
| Improving Semantic Segmentation | via | Efficient Self-Training |
| Improving Semantic Segmentation | via | Video Propagation and Label Relaxation |
| Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders | via | Boosted Privileged Information Learning Framework |
| Improving snake performance | via | a dual active contour |
| Improving Soil Moisture Estimation | via | Assimilation of Remote Sensing Product into the DSSAT Crop Model and Its Effect on Agricultural Drought Monitoring |
| Improving Spatial Support for Objects | via | Multiple Segmentations |
| Improving Stereo Matching Generalization | via | Fourier-Based Amplitude Transform |
| Improving Super Resolution Methods | via | Incremental Residual Learning |
| Improving SVD-based image watermarking | via | block-by-block optimization on singular values |
| Improving synthetic 3D model-aided indoor image localization | via | domain adaptation |
| Improving Tagging Quality | via | Learning Dissimilarity Measure in Non-Euclidean Spaces |
| Improving Test-Time Adaptation | via | Shift-Agnostic Weight Regularization and Nearest Source Prototypes |
| Improving the adversarial robustness of quantized neural networks | via | exploiting the feature diversity |
| Improving the characterization of the alternative hypothesis | via | minimum verification error training with applications to speaker verification |
| Improving the Efficient Neural Architecture Search | via | Rewarding Modifications |
| Improving the Facial Expression Recognition and Its Interpretability | via | Generating Expression Pattern-map |
| Improving the Generalization Ability of Deepfake Detection | via | Disentangled Representation Learning |
| Improving the Generalization of MAML in Few-Shot Classification | via | Bi-Level Constraint |
| Improving the Imaging Quality of Ghost Imaging Lidar | via | Sparsity Constraint by Time-Resolved Technique |
| Improving the Intra-class Long-Tail in 3D Detection | via | Rare Example Mining |
| Improving the Leaking of Augmentations in Data-Efficient GANs | via | Adaptive Negative Data Augmentation |
| Improving the Payload of Watermarking Channels | via | LDPC Coding |
| Improving the Quality of Sparse-view Cone-beam Computed Tomography | via | Reconstruction-friendly Interpolation Network |
| Improving the Robustness of Convolutional Neural Networks | via | Sketch Attention |
| Improving the Robustness of Deep Neural Networks | via | Stability Training |
| Improving the Spatial Resolution of Landsat TM/ETM+ Through Fusion With SPOT5 Images | via | Learning-Based Super-Resolution |
| Improving the Visual Quality of JPEG-Encoded Images | via | Companding |
| Improving the visual quality of random grid-based visual secret sharing | via | error diffusion |
| Improving Training of Deep Neural Networks | via | Singular Value Bounding |
| Improving Understanding of Long-Term Cardiac Functional Remodelling | via | Cross-Sectional Analysis of Polyaffine Motion Parameters |
| Improving UNIWARD distortion function | via | isotropic construction and hierarchical merging |
| Improving Unsupervised Object-Based Change Detection | via | Hierarchical Multi-Scale Binary Partition Tree Segmentation: A Case Study in the Yellow River Source Region |
| Improving Various Reversible Data Hiding Schemes | via | Optimal Codes for Binary Covers |
| Improving Vehicle Handling Stability Based on Combined AFS and DYC System | via | Robust Takagi-Sugeno Fuzzy Control |
| Improving Vibration Performance of Electric Vehicles Based on In-Wheel Motor-Active Suspension System | via | Robust Finite Frequency Control |
| Improving Video Instance Segmentation | via | Temporal Pyramid Routing |
| Improving Video Saliency Detection | via | Localized Estimation and Spatiotemporal Refinement |
| Improving Video Temporal Consistency | via | Broad Learning System |
| Improving vision transformer for medical image classification | via | token-wise perturbation |
| Improving Vision-and-Language Reasoning | via | Spatial Relations Modeling |
| Improving Vision-Based Self-Positioning in Intelligent Transportation Systems | via | Integrated Lane and Vehicle Detection |
| Improving visual multi-object tracking algorithm | via | integrating GM-PHD and correlation filter |
| Improving Web-Based Image Search | via | Content Based Clustering |
| in-depth analysis of hyperspectral target detection with shadow compensation | via | LiDAR, An |
| In-flight photogrammetric camera calibration and validation | via | complementary lidar |
| InAugment: Improving Classifiers | via | Internal Augmentation |
| Incipient Fault Diagnosis for High-Speed Train Traction Systems | via | Stacked Generalization |
| Incoherent Unit-Norm Frame Design | via | an Alternating Minimization Penalty Method |
| Incomplete Multi-view Clustering | via | Graph Regularized Matrix Factorization |
| Incomplete Multi-view Domain Adaptation | via | Channel Enhancement and Knowledge Transfer |
| Incomplete Multiview Clustering | via | Cross-View Relation Transfer |
| Incorporating Uncertainty | via | Hierarchical Classification Using Fuzzy Decision Trees |
| Incorporating User Interaction and Topological Constraints within Contour Completion | via | Discrete Calculus |
| Increasing Computational Redundancy of Digital Images | via | Multiresolutional Matching |
| Increasing the Accuracy of Crowdsourced Information on Land Cover | via | a Voting Procedure Weighted by Information Inferred from the Contributed Data |
| Incremental clustering | via | nonnegative matrix factorization |
| Incremental Few-shot Meta-learning | via | Indirect Discriminant Alignment |
| Incremental few-shot object detection | via | knowledge transfer |
| Incremental Learning | via | Rate Reduction |
| Incremental Meta-Learning | via | Episodic Replay Distillation for Few-Shot Image Recognition |
| Incremental Multi-graph Matching | via | Diversity and Randomness Based Graph Clustering |
| Incremental Object Detection | via | Meta-Learning |
| Incremental online object tracking | via | superpixel dimension reduction |
| Incremental subspace learning | via | non-negative matrix factorization |
| Incremental transfer learning for video annotation | via | grouped heterogeneous sources |
| InDecGAN: Learning to Generate Complex Images From Captions | via | Independent Object-Level Decomposition and Enhancement |
| Indexing | via | Color Histograms |
| Indirect Adversarial Losses | via | an Intermediate Distribution for Training GANs |
| Indirect synthetic attack on thermal face biometric systems | via | visible-to-thermal spectrum conversion |
| Indirect Validation of Ocean Remote Sensing Data | via | Numerical Model: An Example of Wave Heights from Altimeter |
| Individual Common Dolphin Identification | via | Metric Embedding Learning |
| Indoor localization | via | multi-view images and videos |
| Indoor Manhattan spatial layout recovery from monocular videos | via | line matching |
| Indoor Monitoring | via | the Collaboration Between a Peripheral Sensor and a Foveal Sensor |
| Indoor Obstacle Discovery on Reflective Ground | via | Monocular Camera |
| Indoor Panorama Planar 3D Reconstruction | via | Divide and Conquer |
| Inductive and Transductive Few-Shot Video Classification | via | Appearance and Temporal Alignments |
| Inference of moving forms | via | Belief Propagation |
| Inferencing Human Spatiotemporal Mobility in Greater Maputo | via | Mobile Phone Big Data Mining |
| Inferring Gene Interaction Networks from ISH Images | via | Kernelized Graphical Models |
| Inferring Group-Wise Consistent Multimodal Brain Networks | via | Multi-View Spectral Clustering |
| Inferring human gaze from appearance | via | adaptive linear regression |
| Inferring Point Cloud Quality | via | Graph Similarity |
| Inferring spatial layout from a single image | via | depth-ordered grouping |
| Inferring Visual Persuasion | via | Body Language, Setting, and Deep Features |
| Infinite max-margin factor analysis | via | data augmentation |
| Infinite-dimensional feature aggregation | via | a factorized bilinear model |
| InfoMax-GAN: Improved Adversarial Image Generation | via | Information Maximization and Contrastive Learning |
| Information Extraction from Document Images | via | FCA based Template Detection and Knowledge Graph Rule Induction |
| Information Fusion for Human Action Recognition | via | Biset/Multiset Globality Locality Preserving Canonical Correlation Analysis |
| Information Fusion | via | Multimodal Hashing with Discriminant Canonical Correlation Maximization |
| Information Fusion | via | Multimodal Hashing With Discriminant Correlation Maximization |
| Information security display | via | uncrowded window |
| Information-Driven Autonomous Intersection Control | via | Incentive Compatible Mechanisms |
| Information-Theoretic Performance Analysis of Sensor Networks | via | Markov Modeling of Time Series Data |
| Informative feature selection for object recognition | via | Sparse PCA |
| Infrared Action Detection in the Dark | via | Cross-Stream Attention Mechanism |
| Infrared and visible image fusion | via | global variable consensus |
| Infrared and visible image fusion | via | gradientlet filter |
| Infrared and Visible Image Fusion | via | Hybrid Variational Model |
| Infrared and Visible Image Fusion | via | Interactive Compensatory Attention Adversarial Learning |
| Infrared and Visible Image Fusion | via | Multiscale Receptive Field Amplification Fusion Network |
| Infrared and visible image fusion | via | mutual information maximization |
| Infrared and visible image fusion | via | parallel scene and texture learning |
| Infrared and visible image fusion | via | saliency analysis and local edge-preserving multi-scale decomposition |
| Infrared and Visible Image Fusion | via | Texture Conditional Generative Adversarial Network |
| Infrared and Visible Image Object Detection | via | Focused Feature Enhancement and Cascaded Semantic Extension |
| Infrared Dim and Small Target Detection from Complex Scenes | via | Multi-Frame Spatial-Temporal Patch-Tensor Model |
| Infrared Dim and Small Target Detection | via | Multiple Subspace Learning and Spatial-Temporal Patch-Tensor Model |
| Infrared dim target detection | via | mode-k1k2 extension tensor tubal rank under complex ocean environment |
| Infrared Image Super-Resolution | via | Transfer Learning and PSRGAN |
| Infrared object detection | via | patch-tensor model and image denoising based on weighted truncated Schatten-p norm minimization |
| Infrared small target detection | via | adaptive M-estimator ring top-hat transformation |
| Infrared Small Target Detection | via | Low-Rank Tensor Completion With Top-Hat Regularization |
| Infrared Small Target Detection | via | Modified Random Walks |
| Infrared Small Target Detection | via | Non-Convex Rank Approximation Minimization Joint L_2,1 Norm |
| Infrared Small Target Detection | via | Non-Convex Tensor Rank Surrogate Joint Local Contrast Energy |
| Infrared-visible cross-modal person re-identification | via | dual-attention collaborative learning |
| Infrared-Visible Person Re-Identification | via | Cross-Modality Batch Normalized Identity Embedding And Mutual Learning |
| Ingredient Prediction | via | Context Learning Network with Class-Adaptive Asymmetric Loss |
| Inlier extraction for point cloud registration | via | supervoxel guidance and game theory optimization |
| InOut: Diverse Image Outpainting | via | GAN Inversion |
| Inshore Ship Detection in Remote Sensing Images | via | Weighted Pose Voting |
| InstaBoost: Boosting Instance Segmentation | via | Probability Map Guided Copy-Pasting |
| Instance Annotation | via | Optimal BoW for Weakly Supervised Object Localization |
| Instance Contour Adjustment | via | Structure-Driven CNN |
| Instance Search | via | Fusing Hierarchical Multi-level Retrieval and Human-object Interaction Detection |
| Instance search | via | instance level segmentation and feature representation |
| Instance-Aware Semantic Segmentation | via | Multi-task Network Cascades |
| Instance-Based Video Search | via | Multi-Task Retrieval and Re-Ranking |
| Instance-Dependent Noisy Label Learning | via | Graphical Modelling |
| Instance-Incremental Scene Graph Generation From Real-World Point Clouds | via | Normalizing Flows |
| Instance-Invariant Domain Adaptive Object Detection | via | Progressive Disentanglement |
| Instance-Level Human Parsing | via | Part Grouping Network |
| Instant recovery of shape from spectrum | via | latent space connections |
| Instantaneous Frequency Extraction for Nonstationary Signals | via | a Squeezing Operator with a Fixed-Point Iteration Method |
| Intact Planar Abstraction of Buildings | via | Global Normal Refinement from Noisy Oblique Photogrammetric Point Clouds |
| Integer fast lapped biorthogonal transform | via | applications of DCT matrices and dyadic-valued factors for lifting coefficient blocks |
| Integrability-regularized phase unwrapping | via | sparse error correction |
| Integral Object Mining | via | Online Attention Accumulation |
| Integral Solution to Surface Evolution PDEs | via | Geo-cuts, An |
| Integrated Preprocessing of Multitemporal Very-High-Resolution Satellite Images | via | Conjugate Points-Based Pseudo-Invariant Feature Extraction |
| Integrated target tracking and recognition | via | joint appearance-motion generative models |
| Integration of Global and Local Metrics for Domain Adaptation Learning | via | Dimensionality Reduction |
| Integration of Multiview Stereo and Silhouettes | via | Convex Functionals on Convex Domains |
| Intelligent Motion Tracking Control of Vehicle Suspension Systems With Constraints | via | Neural Performance Analysis |
| Intelligent Obstacle Detection for Autonomous Mining Transportation With Electric Locomotive | via | Cellular Vehicle-to-Everything and Vehicular Edge Computing, An |
| Intelligent Pandemic Surveillance | via | Privacy-Preserving Crowdsensing |
| Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction | via | Deep Reinforcement Learning |
| Intelligibility Enhancement | via | Normal-to-Lombard Speech Conversion With Long Short-Term Memory Network and Bayesian Gaussian Mixture Model |
| Intensity Enhancement | via | GAN for Multimodal Facial Expression Recognition |
| Intensity non-uniformity correction of aerothermal images | via | L_p-regularized minimization |
| Inter-Frame Coding for Dynamic Meshes | via | Temporally-Consistent Re-Meshing |
| Interacting Hand-Object Pose Estimation | via | Dense Mutual Attention |
| Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions | via | Spatial Relations |
| Interaction | via | Bi-directional Graph of Semantic Region Affinity for Scene Parsing |
| Interactive Contour Extraction | via | Sketch-Alike Dense-Validation Optimization |
| Interactive Image Segmentation | via | Adaptive Weighted Distances |
| Interactive Image Segmentation | via | Backpropagating Refinement Scheme |
| Interactive image segmentation | via | cascaded metric learning |
| Interactive Image Segmentation | via | Graph Clustering and Synthetic Coordinates Modeling |
| Interactive image segmentation | via | kernel propagation |
| Interactive image segmentation | via | minimization of quadratic energies on directed graphs |
| Interactive image segmentation | via | multi-cue dynamic integration |
| Interactive Multilabel Image Segmentation | via | Robust Multilayer Graph Constraints |
| Interactive Natural Image Segmentation | via | Spline Regression |
| Interactive Optimization of 3D Shape and 2D Correspondence Using Multiple Geometric Constraints | via | POCS |
| Interactive Reconstruction | via | Geometric Probing |
| Interactive Segmentation on RGBD Images | via | Cue Selection |
| Interactive texture segmentation | via | IT-SNAPS |
| Interactive Video Segmentation | via | Local Appearance Model |
| Interactively Guiding Semi-Supervised Clustering | via | Attribute-Based Explanations |
| Interest Level Estimation | via | Multi-Modal Gaussian Process Latent Variable Factorization |
| Interest points based object tracking | via | sparse representation |
| Interest Points | via | Maximal Self-Dissimilarities |
| Interesting components detection for space satellites from inverse synthetic aperture radar image | via | feature probabilistic estimation |
| Interference-plus-Noise Covariance Matrix Reconstruction | via | Spatial Power Spectrum Sampling for Robust Adaptive Beamforming |
| Interferometric Phase Image Estimation | via | Sparse Coding in the Complex Domain |
| Interferometric Phase Retrieval for Multimode InSAR | via | Sparse Recovery |
| Interpolating Sparse GPS Measurements | via | Relaxation Labeling and Belief Propagation for the Redeployment of Ambulances |
| Interpolation of Images | via | Histosplines |
| Interpretable and Accurate Fine-grained Recognition | via | Region Grouping |
| Interpretable and Trustworthy Deepfake Detection | via | Dynamic Prototypes |
| Interpretable convolutional neural networks | via | feedforward design |
| Interpretable Open-Set Domain Adaptation | via | Angular Margin Separation |
| Interpretable Representation Learning on Natural Image Datasets | via | Reconstruction in Visual-Semantic Embedding Space |
| Interpretable Video Captioning | via | Trajectory Structured Localization |
| Interpretable Visual Question Answering | via | Reasoning Supervision |
| Interpretable Visual Reasoning | via | Induced Symbolic Space |
| Interpretable Visual Reasoning | via | Probabilistic Formulation Under Natural Supervision |
| Interpretation of Depression Detection Models | via | Feature Selection Methods |
| Interpretation of Lesional Detection | via | Counterfactual Generation |
| Interpretations Steered Network Pruning | via | Amortized Inferred Saliency Maps |
| Interpreting and Extending the Guided Filter | via | Cyclic Coordinate Descent |
| Interpreting Bottom-Up Decision-Making of CNNs | via | Hierarchical Inference |
| Interpreting CNNs | via | Decision Trees |
| Interpreting Deep Visual Representations | via | Network Dissection |
| Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning | via | Attribute Correlation |
| Interpreting the Latent Space of GANs | via | Correlation Analysis for Controllable Concept Manipulation |
| Intersection-Based V2X Routing | via | Reinforcement Learning in Vehicular Ad Hoc Networks |
| Intra Prediction of Regular and Near-Regular Textures | via | Graph-Based Inpainting |
| Intra voxel analysis in magnetic resonance imaging | via | deep learning |
| Intra- and Inter-Action Understanding | via | Temporal Action Parsing |
| Intraday Variation Mapping of Population Age Structure | via | Urban-Functional-Region-Based Scaling |
| Intraoperative Correction of Liver Deformation Using Sparse Surface and Vascular Features | via | Linearized Iterative Boundary Reconstruction |
| IntraTomo: Self-supervised Learning-based Tomography | via | Sinogram Synthesis and Prediction |
| Intrinsic dimension estimation | via | nearest constrained subspace classifier |
| Intrinsic Image Transformation | via | Scale Space Decomposition |
| Intrinsic Mean for Semi-metrical Shape Retrieval | via | Graph Cuts |
| Intrinsic Point Cloud Interpolation | via | Dual Latent Space Navigation |
| Introducing Diversity In Feature Scatter Adversarial Training | via | Synthesis |
| Introvert: Human Trajectory Prediction | via | Conditional 3D Attention |
| Intrusion Detection in the Era of IoT: Building Trust | via | Traffic Filtering and Sampling |
| Invariance of Stereo Images | via | the Theory of Complex Moments |
| Invariant Object Material Identification | via | Discriminant Learning on Absorption Features |
| Invariant texture classification for biomedical cell specimens | via | non-linear polar map filtering |
| Invariant texture segmentation | via | circular gabor filters |
| Inverse Half-Toning | via | MAP Estimation |
| Inverse Hollywood Problem: From video to scripts and storyboards | via | causal analysis, The |
| Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans | via | Optimal Control |
| Inverse-Like Antagonistic Scene Text Spotting | via | Reading-Order Estimation and Dynamic Sampling |
| Inverting RANSAC: Global model detection | via | inlier rate estimation |
| Investigating the Automatic Classification of Algae Using the Spectral and Morphological Characteristics | via | Deep Residual Learning |
| Investigation of Temperature Effects into Long-Span Bridges | via | Hybrid Sensing and Supervised Regression Models |
| IR saliency detection | via | a GCF-SB visual attention framework |
| IRAv3+: Hierarchical Incremental Rotation Averaging | via | Multiple Connected Dominating Sets |
| Iris localization | via | intensity gradient and recognition through bit planes |
| Iris Localization | via | Pulling and Pushing |
| Iris Presentation Attack | via | Textured Contact Lens in Unconstrained Environment |
| IRIS Super-Resolution | via | Nonparametric Over-Complete Dictionary Learning |
| Is Pruning Compression?: Investigating Pruning | via | Network Layer Similarity |
| ISEC: Iterative over-segmentation | via | edge clustering |
| Ising Models for Binary Clustering | via | Adiabatic Quantum Computing |
| Isolated Points Prediction | via | Deep Neural Network on Point Cloud Lossless Geometry Compression |
| ISR: indoor shop recognition | via | user-friendly and efficient fingerprinting on smartphones |
| Iterative Blind Image Motion Deblurring | via | Learning a No-Reference Image Quality Measure |
| Iterative Category Discovery | via | Multiple Kernel Metric Learning |
| Iterative Nonlinear Filter Based on Posterior Distribution Approximation | via | Penalized Kullback-Leibler Divergence Minimization, An |
| Iterative Regularization | via | Dual Diagonal Descent |
| Iwin: Human-Object Interaction Detection | via | Transformer with Irregular Windows |
| JA-POLS: A Moving-Camera Background Model | via | Joint Alignment and Partially-Overlapping Local Subspaces |
| JBEAM: Multiscale Curve Coding | via | Beamlets |
| JIGSAW: Joint Inhomogeneity Estimation | via | Global Segment Assembly for Water-Fat Separation |
| Joint 2D-DOD and 2D-DOA Estimation in Bistatic MIMO Radar | via | Tensor Ring Decomposition |
| Joint A-SNN: Joint training of artificial and spiking neural networks | via | self-Distillation and weight factorization |
| Joint Acne Image Grading and Counting | via | Label Distribution Learning |
| Joint Active Learning with Feature Selection | via | CUR Matrix Decomposition |
| Joint Admission Control and Routing | via | Approximate Dynamic Programming for Streaming Video Over Software-Defined Networking |
| Joint Alignment and Clustering | via | Low-Rank Representation |
| Joint Angle and Range Estimation in Monostatic FDA-MIMO Radar | via | Compressed Unitary PARAFAC |
| Joint Anomaly Detection and Inpainting for Microscopy Images | via | Deep Self-Supervised Learning |
| Joint Contrast Enhancement and Noise Reduction of Low Light Images | via | JND Transform |
| Joint coupled dictionaries-based visible-infrared image fusion method | via | texture preservation structure in sparse domain |
| Joint Demosaicing and Denoising | via | Learned Nonparametric Random Fields |
| Joint Denoising and Super-Resolution | via | Generative Adversarial Training |
| Joint denoising/compression of image contours | via | geometric prior and variable-length context tree |
| Joint Denoising/Compression of Image Contours | via | Shape Prior and Context Tree |
| Joint depth and alpha matte optimization | via | fusion of stereo and time-of-flight sensor |
| Joint Depth and Semantic Inference from a Single Image | via | Elastic Conditional Random Field |
| Joint depth map super-resolution method | via | deep hybrid-cross guidance filter |
| Joint Design of Measurement Matrix and Sparse Support Recovery Method | via | Deep Auto-Encoder |
| Joint Design of RF and Gradient Waveforms | via | Auto-differentiation for 3D Tailored Excitation in MRI |
| Joint Design of Transmitting Waveform and Receiving Filter | via | Novel Riemannian Idea for DFRC System |
| Joint Distribution Alignment | via | Adversarial Learning for Domain Adaptive Object Detection |
| Joint DOD and DOA Estimation in Slow-Time MIMO Radar | via | PARAFAC Decomposition |
| Joint estimation of moving target reflectivity and velocity | via | AT-InSAR systems based on complex interferometric data |
| Joint Face Hallucination and Deblurring | via | Structure Generation and Detail Enhancement |
| Joint Feature and Texture Coding: Toward Smart Video Representation | via | Front-End Intelligence |
| Joint feature representation and classification | via | adaptive graph semi-supervised nonnegative matrix factorization |
| Joint gaze-correction and beautification of DIBR-synthesized human face | via | dual sparse coding |
| Joint Haze-relevant Features Selection and Transmission Estimation | via | Deep Belief Network for Efficient Single Image Dehazing |
| Joint Human Detection and Head Pose Estimation | via | Multistream Networks for RGB-D Videos |
| Joint Image Denoising and Disparity Estimation | via | Stereo Structure PCA and Noise-Tolerant Cost |
| joint image super-resolution network for multiple degradations removal | via | complementary transformer and convolutional neural network, A |
| Joint Image Super-Resolution | via | Recurrent Convolutional Neural Networks With Coupled Sparse Priors |
| Joint Inference in Weakly-Annotated Image Datasets | via | Dense Correspondence |
| Joint Inverse Problems for Signal Reconstruction | via | Dictionary Splitting |
| Joint Learning for Single-Image Super-Resolution | via | a Coupled Constraint |
| Joint local and statistical discriminant learning | via | feature alignment |
| Joint medical image fusion, denoising and enhancement | via | discriminative low-rank sparse dictionaries learning |
| Joint model of gradient magnitude and Gabor features | via | Spatio-Temporal slice |
| Joint Multi-Dimension Pruning | via | Numerical Gradient Update |
| Joint Progressive and Coarse-to-Fine Registration of Brain MRI | via | Deformation Field Integration and Non-Rigid Feature Fusion |
| Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI | via | FocalNet |
| Joint Segmentation/Registration Model by Shape Alignment | via | Weighted Total Variation Minimization and Nonlinear Elasticity |
| Joint Sparse Aperture ISAR Autofocusing and Scaling | via | Modified Newton Method-Based Variational Bayesian Inference |
| Joint Transformation Learning | via | the L2,1-Norm Metric for Robust Graph Matching |
| Joint Two-Dimensional Deception Countering ISAR | via | Frequency Diverse Array |
| Joint vehicle detection and distance prediction | via | monocular depth estimation |
| Joint-Guided Distillation Binary Neural Network | via | Dynamic Channel-Wise Diversity Enhancement for Object Detection |
| Jointly-Learnt Networks for Future Action Anticipation | via | Self-Knowledge Distillation and Cycle Consistency |
| JPEG Artifacts Reduction | via | Deep Convolutional Sparse Coding |
| JPEG Artifacts Removal | via | Contrastive Representation Learning |
| JPEG compressed image retrieval | via | statistical features |
| JPEG Decoding | via | Two-dimensional Optimal Separable Filters |
| JSPNet: Learning joint semantic and instance segmentation of point clouds | via | feature self-similarity and cross-task probability |
| Just Enough Reality: Comfortable 3-D Viewing | via | Microstereopsis |
| JustClick: Personalized Image Recommendation | via | Exploratory Search From Large-Scale Flickr Images |
| JÂA-Net: Joint Facial Action Unit Detection and Face Alignment | via | Adaptive Attention |
| k nearest neighbour ensemble | via | extended neighbourhood rule and feature subsets, A |
| K-Means Clustering Approach to UAS Classification | via | Graphical Signal Representation of Radio Frequency Signals for Air Traffic Early Warning |
| k-NN classification of handwritten characters | via | accelerated GAT correlation |
| k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images | via | Local Style Alignment |
| K-space refinement in deep learning MR reconstruction | via | regularizing scan specific SPIRiT-based self consistency |
| KalmanFlow 2.0: Efficient Video Optical Flow Estimation | via | Context-Aware Kalman Filtering |
| KD-DLGAN: Data Limited Image Generation | via | Knowledge Distillation |
| Kernel Approximation | via | Empirical Orthogonal Decomposition for Unsupervised Feature Learning |
| Kernel discrimination | via | oblique projection |
| Kernel k-Groups | via | Hartigan's Method |
| Kernel matrix decomposition | via | empirical kernel map |
| Kernel-Based Face Hallucination | via | Dual Regularization Priors |
| Kernel-free video deblurring | via | synthesis |
| Keypoint Matching for Non-Rigid Object | via | Locally Consistent Visual Pattern Mining |
| Kinect Depth Inpainting | via | Graph Laplacian with TV21 Regularization |
| Kinect depth restoration | via | energy minimization with TV21 regularization |
| Kinematic Structure Correspondences | via | Hypergraph Matching |
| KING: Generating Safety-Critical Driving Scenarios for Robust Imitation | via | Kinematics Gradients |
| Kinship Verification from Faces | via | Similarity Metric Based Convolutional Neural Network |
| Knowing When to Look: Adaptive Attention | via | a Visual Sentinel for Image Captioning |
| Knowledge Acquisition for Visual Question Answering | via | Iterative Querying |
| Knowledge Distillation for Action Anticipation | via | Label Smoothing |
| Knowledge Distillation | via | Instance Relationship Graph |
| Knowledge Distillation | via | Multi-Teacher Feature Ensemble |
| Knowledge Distillation | via | Route Constrained Optimization |
| Knowledge Distillation | via | the Target-aware Transformer |
| Knowledge Transfer | via | Dense Cross-layer Mutual-distillation |
| KSM: Fast Multiple Task Adaption | via | Kernel-wise Soft Mask Learning |
| L-infinity Constrained High-Fidelity Image Compression | via | Adaptive Context Modeling |
| L1-2DPCA Revisit | via | Optimization on Product Manifolds |
| L1-norm and maximum margin criterion based discriminant locality preserving projections | via | trace Lasso |
| L1-norm discriminant analysis | via | Bhattacharyya error bounds under Laplace distributions |
| Label Efficient Semi-Supervised Learning | via | Graph Filtering |
| Label enhancement | via | manifold approximation and projection with graph convolutional network |
| Label propagation based saliency detection | via | graph design |
| Label transfer | via | sparse representation |
| Label-Free Event-based Object Recognition | via | Joint Learning with Image Reconstruction from Events |
| Label-Only Model Inversion Attacks | via | Boundary Repulsion |
| LAFED: Towards robust ensemble models | via | Latent Feature Diversification |
| LAG-Net: Multi-Granularity Network for Person Re-Identification | via | Local Attention System |
| Land surface albedo retrieval | via | kernel-based BRDF modeling: I. Statistical inversion method and model comparison |
| Land surface albedo retrieval | via | kernel-based BRDF modeling: II. An optimal design scheme for the angular sampling |
| Landmark Matching | via | Large Deformation Diffeomorphisms |
| Landmark Matching | via | Large Deformation Diffeomorphisms on the Sphere |
| Landmark- and Intensity-Based Registration with Large Deformations | via | Quasi-conformal Maps |
| Landmark-Based Non-rigid Registration | via | Graph Cuts |
| Landslide Displacement Prediction | via | Attentive Graph Neural Network |
| Lane-Keeping Control of Automatic Steering Systems | via | Adaptive Fuzzy Sliding-Mode Approach |
| Lane-keeping system design considering driver's nervousness | via | scene analysis |
| LanePainter: Lane Marks Enhancement | via | Generative Adversarial Network |
| Language-Guided Audio-Visual Source Separation | via | Trimodal Consistency |
| Language-Guided Global Image Editing | via | Cross-Modal Cyclic Mechanism |
| Language-Guided Music Recommendation for Video | via | Prompt Analogies |
| Language-Guided Navigation | via | Cross-Modal Grounding and Alternate Adversarial Learning |
| LapsCore: Language-guided Person Search | via | Color Reasoning |
| Large Aerial Image Tie Point Matching in Real and Difficult Survey Areas | via | Deep Learning Method |
| Large Disparity Motion Layer Extraction | via | Topological Clustering |
| Large Pose 3D Face Reconstruction from a Single Image | via | Direct Volumetric CNN Regression |
| Large Scale Medical Image Search | via | Unsupervised PCA Hashing |
| Large Scale Near-Duplicate Image Retrieval | via | Patch Embedding |
| Large Scale Spectral Clustering | via | Landmark-Based Sparse Representation |
| Large Scale Video Representation Learning | via | Relational Graph Clustering |
| Large-Capacity and Flexible Video Steganography | via | Invertible Neural Network |
| Large-Pose Face Alignment | via | CNN-Based Dense 3D Model Fitting |
| Large-Scale Cross-Modality Search | via | Collective Matrix Factorization Hashing |
| Large-scale eigenvector approximation | via | Hilbert Space Embedding Nystrom |
| Large-scale Few-shot Learning | via | Multi-modal Knowledge Discovery |
| Large-scale individual building extraction from open-source satellite imagery | via | super-resolution-based instance segmentation approach |
| Large-Scale Indoor/Outdoor Image Classification | via | Expert Decision Fusion (EDF) |
| Large-Scale Land Cover Mapping with Fine-Grained Classes | via | Class-Aware Semi-Supervised Semantic Segmentation |
| Large-Scale Multi-View Clustering | via | Fast Essential Subspace Representation Learning |
| Large-Scale Multiclass Support Vector Machine Training | via | Euclidean Projection onto the Simplex |
| Large-Scale Nonlinear AUC Maximization | via | Triply Stochastic Gradients |
| Large-scale point cloud contour extraction | via | 3D guided multi-conditional generative adversarial network |
| Large-Scale Product Classification | via | Spatial Attention Based CNN Learning and Multi-class Regression |
| Large-Scale Video Hashing | via | Structure Learning |
| Large-Scale Weakly Supervised Object Localization | via | Latent Category Learning |
| Laser-Based Bidirectional Pedestrian Counting | via | Height Map Guided Regression and Voting |
| LASOR: Learning Accurate 3D Human Pose and Shape | via | Synthetic Occlusion-Aware Data and Neural Mesh Rendering |
| Late Fusion | via | Subspace Search With Consistency Preservation |
| Latent Fingerprint Matching: Performance Gain | via | Feedback from Exemplar Prints |
| Latent Linear Discriminant Analysis for feature extraction | via | Isometric Structural Learning |
| Latent Representation Learning Model for Multi-Band Images Fusion | via | Low-Rank and Sparse Embedding |
| Latent Transformations | via | NeuralODEs for GAN-based Image Editing |
| Lavic Lake Fault: A Long-Term Cumulative Slip Analysis | via | Combined Field Work and Thermal Infrared Hyperspectral Airborne Remote Sensing, The |
| Layer Separation | via | a Spatial-Attention GAN |
| Layer-Structured 3D Scene Inference | via | View Synthesis |
| Layered Conceptual Image Compression | via | Deep Semantic Synthesis |
| Layered Multitask Tracker | via | Spatial-Temporal Laplacian Graph |
| Layered Scene Decomposition | via | the Occlusion-CRF |
| LayoutFormer++: Conditional Graphic Layout Generation | via | Constraint Serialization and Decoding Space Restriction |
| LCPFormer: Towards Effective 3D Point Cloud Analysis | via | Local Context Propagation in Transformers |
| LEA2: A Lightweight Ensemble Adversarial Attack | via | Non-overlapping Vulnerable Frequency Regions |
| Leader-Follower Trajectory Control for Quadrotors | via | Tracking Differentiators and Disturbance Observers |
| Learn then match: A fast coarse-to-fine depth image-based indoor localization framework for dark environments | via | deep learning and keypoint-based geometry alignment |
| Learn to abstract | via | concept graph for weakly-supervised few-shot learning |
| Learn to Cluster Faces | via | Pairwise Classification |
| Learn to enhance the low-light image | via | a multi-exposure generation and fusion method |
| Learn to model blurry motion | via | directional similarity and filtering |
| Learnable Pixel Clustering | via | Structure and Semantic Dual Constraints for Unsupervised Image Segmentation |
| Learned Quality Enhancement | via | Multi-Frame Priors for HEVC Compliant Low-Delay Applications |
| Learned Video Compression | via | Heterogeneous Deformable Compensation Network |
| Learning 3D Representations from 2D Pre-Trained Models | via | Image-to-Point Masked Autoencoders |
| Learning 3D shape from a single facial image | via | non-linear manifold embedding and alignment |
| Learning a discriminative deformation-invariant 3D shape descriptor | via | many-to-one encoder |
| Learning a discriminative dictionary for sparse coding | via | label consistent K-SVD |
| Learning a Family of Detectors | via | Multiplicative Kernels |
| Learning a Mahalanobis distance metric | via | regularized LDA for scene recognition |
| Learning a Robust Part-Aware Monocular 3D Human Pose Estimator | via | Neural Architecture Search |
| Learning a robust representation | via | a deep network on symmetric positive definite manifolds |
| Learning a Unified Classifier Incrementally | via | Rebalancing |
| Learning Accurate, Speedy, Lightweight CNNs | via | Instance-Specific Multi-Teacher Knowledge Distillation for Distracted Driver Posture Identification |
| Learning Action Maps of Large Environments | via | First-Person Vision |
| Learning Actionness | via | Long-range Temporal Order Verification |
| Learning Adaptive Discriminative Correlation Filters | via | Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking |
| Learning All Dynamics: Traffic Forecasting | via | Locality-Aware Spatio-Temporal Joint Transformer |
| Learning an Evolutionary Embedding | via | Massive Knowledge Distillation |
| Learning Appearance-Motion Synergy | via | Memory-Guided Event Prediction for Video Anomaly Detection |
| Learning Audio-Visual Source Localization | via | False Negative Aware Contrastive Learning |
| Learning Augmentation Network | via | Influence Functions |
| Learning Better Visual Data Similarities | via | New Grouplet Non-Euclidean Embedding |
| Learning Big (Image) Data | via | Coresets for Dictionaries |
| Learning Calibrated Medical Image Segmentation | via | Multi-rater Agreement Modeling |
| Learning Camera Localization | via | Dense Scene Matching |
| Learning Causal Representation for Training Cross-Domain Pose Estimator | via | Generative Interventions |
| Learning Class Prototypes | via | Structure Alignment for Zero-Shot Recognition |
| Learning Class-to-Image Distance | via | Large Margin and L1-Norm Regularization |
| Learning Compact Features for Human Activity Recognition | via | Probabilistic First-Take-All |
| Learning Concordant Attention | via | Target-aware Alignment for Visible-Infrared Person Re-identification |
| Learning Convolution Feature Aggregation | via | Edge Attention Convolution Network for Person Re-Identification |
| Learning Correction Filter | via | Degradation-Adaptive Regression for Blind Single Image Super-Resolution |
| Learning Correspondence Uncertainty | via | Differentiable Nonlinear Least Squares |
| Learning Cross Space Mapping | via | DNN Using Large Scale Click-Through Logs |
| Learning Debiased Representations | via | Conditional Attribute Interpolation |
| Learning Deep Binary Descriptors | via | Bitwise Interaction Mining |
| Learning deep discriminative embeddings | via | joint rescaled features and log-probability centers |
| Learning Deep Embeddings | via | Margin-Based Discriminate Loss |
| Learning Dense Correspondence | via | 3D-Guided Cycle Consistency |
| Learning Depth | via | Leveraging Semantics: Self-Supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance |
| Learning dictionary | via | subspace segmentation for sparse representation |
| Learning Discriminative Features for Ground-Based Cloud Classification | via | Mutual Information Maximization |
| Learning Discriminative Features | via | Label Consistent Neural Network |
| Learning discriminative features | via | weights-biased softmax loss |
| Learning Disentangled Representation Implicitly | via | Transformer for Occluded Person Re-Identification |
| Learning Disentangled Representations | via | Independent Subspaces |
| Learning Disentangled Representations | via | Mutual Information Estimation |
| Learning Dynamic Alignment | via | Meta-filter for Few-shot Learning |
| Learning dynamic Bayesian network models | via | cross-validation |
| Learning Dynamics | via | Graph Neural Networks for Human Pose Estimation and Tracking |
| Learning EEG Topographical Representation for Classification | via | Convolutional Neural Network |
| Learning Effective Binary Descriptors | via | Cross Entropy |
| Learning Efficient Deep Feature Representations | via | Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks |
| Learning Efficient GANs for Image Translation | via | Differentiable Masks and Co-Attention Distillation |
| Learning ensemble classifiers | via | restricted Boltzmann machines |
| Learning Expressionlets | via | Universal Manifold Model for Dynamic Facial Expression Recognition |
| Learning for mismatch removal | via | graph attention networks |
| Learning from Designers: Fashion Compatibility Analysis | via | Dataset Distillation |
| Learning from Multiple Annotator Noisy Labels | via | Sample-Wise Label Fusion |
| Learning from Noisy Labels | via | Discrepant Collaborative Training |
| Learning from Noisy Labels | via | Meta Credible Label Elicitation |
| Learning From Synthetic CT Images | via | Test-Time Training for Liver Tumor Segmentation |
| Learning From Synthetic Images | via | Active Pseudo-Labeling |
| Learning from Video and Text | via | Large-Scale Discriminative Clustering |
| Learning From Visual Demonstrations | via | Replayed Task-Contrastive Model-Agnostic Meta-Learning |
| Learning from Web Data: Improving Crowd Counting | via | Semi-Supervised Learning |
| Learning Generalizable Models | via | Disentangling Spurious and Enhancing Potential Correlations |
| Learning Generalized Transformation Equivariant Representations | via | AutoEncoding Transformations |
| Learning Generative ConvNets | via | Multi-grid Modeling and Sampling |
| Learning Generative Models | via | Discriminative Approaches |
| Learning Geographical Hierarchy Features | via | a Compositional Model |
| Learning Globally Optimized Object Detector | via | Policy Gradient |
| Learning Graph Structure for Multi-Label Image Classification | via | Clique Generation |
| Learning Hierarchical Semantic Description | via | Mixed-Norm Regularization for Image Understanding |
| Learning human actions | via | information maximization |
| Learning Human Cognition | via | fMRI Analysis Using 3d Cnn and Graph Neural Network |
| Learning Human-Object Interaction | via | Interactive Semantic Reasoning |
| Learning Image Representation | via | Attribute-Aware Attention Networks for Fashion Classification |
| Learning image representations from the pixel level | via | hierarchical sparse coding |
| Learning image similarities | via | Probabilistic Feature Matching |
| Learning image Vicept description | via | mixed-norm regularization for large scale semantic image search |
| Learning IMED | via | shift-invariant transformation |
| Learning Interpolation | via | Regional Map for Pan-Sharpening |
| Learning Interpretable Forensic Representations | via | Local Window Modulation |
| Learning Joint Gait Representation | via | Quintuplet Loss Minimization |
| Learning Latent Architectural Distribution in Differentiable Neural Architecture Search | via | Variational Information Maximization |
| Learning Less is More: 6D Camera Localization | via | 3D Surface Regression |
| Learning Lightweight Neural Networks | via | Channel-Split Recurrent Convolution |
| Learning Linear Assignment Flows for Image Labeling | via | Exponential Integration |
| Learning Linear Regression | via | Single-Convolutional Layer for Visual Object Tracking |
| Learning Local Quality-Aware Structures of Salient Regions for Stereoscopic Images | via | Deep Neural Networks |
| Learning Low-rank Deep Neural Networks | via | Singular Vector Orthogonality Regularization and Singular Value Sparsification |
| Learning Mesh Representations | via | Binary Space Partitioning Tree Networks |
| Learning Meta-Distance for Sequences by Learning a Ground Metric | via | Virtual Sequence Regression |
| Learning Monocular Regression of 3D People in Crowds | via | Scene-Aware Blending and De-Occlusion |
| Learning Monocular Visual Odometry | via | Self-supervised Long-term Modeling |
| Learning motion trajectories | via | self-organization |
| Learning Multi-instance Enriched Image Representations | via | Non-greedy Ratio Maximization of the L1-Norm Distances |
| Learning Multi-layer Latent Variable Model | via | Variational Optimization of Short Run MCMC for Approximate Inference |
| Learning Multi-view Correspondences | via | Subspace-Based Temporal Coincidences |
| Learning Multiple Adverse Weather Removal | via | Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model |
| Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift | via | View Synthesis |
| Learning non-parametric kernel | via | matrix decomposition for logistic regression |
| Learning Normal Patterns | via | Adversarial Attention-Based Autoencoder for Abnormal Event Detection in Videos |
| Learning Object Material Categories | via | Pairwise Discriminant Analysis |
| Learning Object Placement | via | Dual-Path Graph Completion |
| Learning object relationships | via | graph-based context model |
| Learning Omnidirectional Flow in 360° Video | via | Siamese Representation |
| Learning Optical Flow | via | Dilated Networks and Occlusion Reasoning |
| Learning Ordered Top-k Adversarial Attacks | via | Adversarial Distillation |
| Learning Pain from Action Unit Combinations: A Weakly Supervised Approach | via | Multiple Instance Learning |
| Learning parametrised regularisation functions | via | quotient minimisation |
| Learning PDEs for Image Restoration | via | Optimal Control |
| Learning Photometric Stereo | via | Manifold-based Mapping |
| Learning Privacy-Preserving Student Networks | via | Discriminative-Generative Distillation |
| Learning Recursive Filters for Low-Level Vision | via | a Hybrid Neural Network |
| Learning Representation for Clustering | via | Prototype Scattering and Positive Sampling |
| Learning Robust Facial Landmark Detection | via | Hierarchical Structured Ensemble |
| Learning Robust Image-Based Rendering on Sparse Scene Geometry | via | Depth Completion |
| Learning Saccadic Gaze Control | via | Motion Prediciton |
| Learning Scalable l8-constrained Near-lossless Image Compression | via | Joint Lossy Image and Residual Compression |
| Learning Scene Structure Guidance | via | Cross-Task Knowledge Transfer for Single Depth Super-Resolution |
| Learning semantic features for action recognition | via | diffusion maps |
| Learning Semantic Representations | via | Joint 3D Face Reconstruction and Facial Attribute Estimation |
| Learning Semantic Segmentation on Unlabeled Real-World Indoor Point Clouds | via | Synthetic Data |
| Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images | via | Convolutional Neural Networks |
| Learning Shadow Removal From Unpaired Samples | via | Reciprocal Learning |
| Learning Shape Primitives | via | Implicit Convexity Regularization |
| Learning shape priors for object segmentation | via | neural networks |
| Learning simultaneous adaptive clustering and classification | via | MOEA |
| Learning Social Relationship From Videos | via | Pre-Trained Multimodal Transformer |
| Learning Sparse Graphs | via | Majorization-Minimization for Smooth Node Signals |
| Learning Sparse Prototypes for Crowd Perception | via | Ensemble Coding Mechanisms |
| Learning Spatial and Spectral Features | via | 2D-1D Generative Adversarial Network for Hyperspectral Image Super-Resolution |
| Learning spatial weighting for facial expression analysis | via | constrained quadratic programming |
| Learning spatial weighting | via | quadratic programming for facial expression analysis |
| Learning spatio-temporal context | via | hierarchical features for visual tracking |
| Learning Spectral-Spatial-Temporal Features | via | a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery |
| Learning Speed Invariant Gait Template | via | Thin Plate Spline Kernel Manifold Fitting |
| Learning Structural Representations | via | Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval |
| Learning Surrogates | via | Deep Embedding |
| Learning Symbolic Model-Agnostic Loss Functions | via | Meta-Learning |
| Learning the Traditional Art of Chinese Calligraphy | via | Three-Dimensional Reconstruction and Assessment |
| Learning to Align | via | Wasserstein for Person Re-Identification |
| Learning to Balance the Learning Rates Between Various Modalities | via | Adaptive Tracking Factor |
| Learning to Boost Bottom-Up Fixation Prediction in Driving Environments | via | Random Forest |
| Learning to Caricature | via | Semantic Shape Transform |
| Learning to Cluster Faces | via | Confidence and Connectivity Estimation |
| Learning to compare image patches | via | convolutional neural networks |
| Learning to detect contours in natural images | via | biologically motivated schemes |
| Learning to Detect Mirrors from Videos | via | Dual Correspondences |
| Learning to Detect Objects in Images | via | a Sparse, Part-Based Representation |
| Learning To Disambiguate Strongly Interacting Hands | via | Probabilistic Per-Pixel Part Segmentation |
| Learning to Discover Novel Visual Categories | via | Deep Transfer Clustering |
| Learning to Discover Reflection Symmetry | via | Polar Matching Convolution |
| Learning to Dodge A Bullet: Concyclic View Morphing | via | Deep Learning |
| Learning to Dub Movies | via | Hierarchical Prosody Models |
| Learning to Enhance Low-Light Image | via | Zero-Reference Deep Curve Estimation |
| Learning to Explore Saliency for Stereoscopic Videos | via | Component-Based Interaction |
| Learning to Forget for Meta-Learning | via | Task-and-Layer-Wise Attenuation |
| Learning to Generalize Unseen Domains | via | Memory-based Multi-Source Meta-Learning for Person Re-Identification |
| Learning to Generate Synthetic Data | via | Compositing |
| Learning to Joint Remosaic and Denoise in Quad Bayer CFA | via | Universal Multi-scale Channel Attention Network |
| Learning to Learn Better Unimodal Representations | via | Adaptive Multimodal Meta-Learning |
| Learning to Model and Calibrate Optics | via | a Differentiable Wave Optics Simulator |
| Learning to Predict Bus Arrival Time From Heterogeneous Measurements | via | Recurrent Neural Network |
| Learning to predict the quality of distorted-then-compressed images | via | a deep neural network |
| Learning to Prune in Training | via | Dynamic Channel Propagation |
| Learning to Recognize Human Actions From Noisy Skeleton Data | via | Noise Adaptation |
| Learning to Reconstruct 3D Human Pose and Shape | via | Model-Fitting in the Loop |
| Learning to Restore Low-Light Images | via | Decomposition-and-Enhancement |
| Learning to schedule multi-NUMA virtual machines | via | reinforcement learning |
| Learning to Segment Actions from Visual and Language Instructions | via | Differentiable Weak Sequence Alignment |
| Learning to segment clustered amoeboid cells from brightfield microscopy | via | multi-task learning with adaptive weight selection |
| Learning to Segment Object Candidates | via | Recursive Neural Networks |
| Learning to Segment | via | Cut-and-Paste |
| Learning to Solve 3-D Bin Packing Problem | via | Deep Reinforcement Learning and Constraint Programming |
| Learning to Solve Multiple-TSP With Time Window and Rejections | via | Deep Reinforcement Learning |
| Learning to Zoom-In | via | Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation |
| Learning Traces by Yourself: Blind Image Forgery Localization | via | Anomaly Detection With ViT-VAE |
| Learning Tracking Representations | via | Dual-Branch Fully Transformer Networks |
| Learning Unbiased Representations | via | Mutual Information Backpropagation |
| Learning Unbiased Zero-Shot Semantic Segmentation Networks | via | Transductive Transfer |
| Learning Universal Trajectory Representation | via | a Siamese Geography-Aware Transformer |
| Learning Unseen Concepts | via | Hierarchical Decomposition and Composition |
| Learning Unsupervised and Supervised Representations | via | General Covariance |
| Learning Video-Story Composition | via | Recurrent Neural Network |
| Learning Visual Representations | via | Language-Guided Sampling |
| Learning with Noisy labels | via | Self-supervised Adversarial Noisy Masking |
| Learning with Noisy Labels | via | Sparse Regularization |
| Learning with Privileged Information | via | Adversarial Discriminative Modality Distillation |
| Learning-based image interpolation | via | robust k-NN searching for coherent AR parameters estimation |
| Learning-Based Image Reconstruction | via | Parallel Proximal Algorithm |
| Learning-Based Regularization for Cardiac Strain Analysis | via | Domain Adaptation |
| Learning-based single image dehazing | via | genetic programming |
| Least-Squares Approximation by Pythagorean Hodograph Spline Curves | via | an Evolution Process |
| LED2-Net: Monocular 360° Layout Estimation | via | Differentiable Depth Rendering |
| LEED: Label-free Expression Editing | via | Disentanglement |
| Legitimate Surveillance | via | Jamming in Multichannel Relaying System |
| Less is More: CLIPBERT for Video-and-Language Learning | via | Sparse Sampling |
| Let the robot tell: Describe car image with natural language | via | LSTM |
| Let There Be Light: Improved Traffic Surveillance | via | Detail Preserving Night-to-Day Transfer |
| Leveraging Datasets with Varying Annotations for Face Alignment | via | Deep Regression Network |
| Leveraging Local and Global Cues for Visual Tracking | via | Parallel Interaction Network |
| Leveraging Multimodal Semantic Fusion for Gastric Cancer Screening | via | Hierarchical Attention Mechanism |
| Leveraging Non-Causal Knowledge | via | Cross-Network Knowledge Distillation for Real-Time Speech Enhancement |
| Leveraging Real Talking Faces | via | Self-Supervision for Robust Forgery Detection |
| Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models | via | Adversarial Learning and Pseudo-Labeling |
| LFTransNet: Light Field Salient Object Detection | via | a Learnable Weight Descriptor |
| License Plate Detection | via | Information Maximization |
| LiDAR Depth Completion Using Color-Embedded Information | via | Knowledge Distillation |
| LiDAR-based Panoptic Segmentation | via | Dynamic Shifting Network |
| LiDAR-Based Real-Time Panoptic Segmentation | via | Spatiotemporal Sequential Data Fusion |
| LiDAR-Camera Panoptic Segmentation | via | Geometry-Consistent and Semantic-Aware Alignment |
| Lidarbox: A fast and accurate method for object proposals | via | lidar point clouds for autonomous vehicles |
| Lie to Me: Deceit detection | via | online behavioral learning |
| LieToMe: Preliminary study on hand gestures for deception detection | via | Fisher-LSTM |
| Lifelong Learning | via | Progressive Distillation and Retrospection |
| Lifelong Person Re-Identification | via | Adaptive Knowledge Accumulation |
| LiftLT: Fast Lapped Transforms | via | Lifting Steps, The |
| Light Field Angular Super-resolution | via | Dense Correspondence Field Reconstruction |
| Light Field Denoising | via | Anisotropic Parallax Analysis in a CNN Framework |
| Light Field Depth Estimation for Non-Lambertian Objects | via | Adaptive Cross Operator |
| Light field image coding | via | linear approximation prior |
| Light Field Image Quality Assessment | via | the Light Field Coherence |
| Light Field Image Restoration | via | Latent Diffusion and Multi-View Attention |
| Light Field Inpainting Propagation | via | Low Rank Matrix Completion |
| Light field occlusion removal network | via | foreground location and background recovery |
| Light Field Reconstruction | via | Deep Adaptive Fusion of Hybrid Lenses |
| Light Field Salient Object Detection | via | Hybrid Priors |
| Light Field Salient Object Detection With Sparse Views | via | Complementary and Discriminative Interaction Network |
| Light Field Spatial Super-Resolution | via | Deep Combinatorial Geometry Embedding and Structural Consistency Regularization |
| Light Field Super-Resolution | via | Adaptive Feature Remixing |
| Light Field Super-Resolution | via | LFBM5D Sparse Coding |
| Light Field View Synthesis | via | Aperture Disparity and Warping Confidence Map |
| Light-Field Depth Estimation | via | Epipolar Plane Image Analysis and Locally Linear Embedding |
| Light-weight shadow detection | via | GCN-based annotation strategy and knowledge distillation |
| Lighting up NeRF | via | Unsupervised Decomposition and Enhancement |
| Lightning Distance Estimation Using LF Lightning Radio Signals | via | Analytical and Machine-Learned Models |
| LightTrack: Finding Lightweight Neural Networks for Object Tracking | via | One-Shot Architecture Search |
| Lightweight Deep CNN for Natural Image Matting | via | Similarity-Preserving Knowledge Distillation |
| Lightweight Image Matting | via | Efficient Non-local Guidance |
| Lightweight Lossy Compression of Biometric Patterns | via | Denoising Autoencoders |
| Lightweight Portrait Matting | via | Regional Attention and Refinement |
| Lightweight Salient Object Detection | via | Hierarchical Visual Perception Learning |
| LightweightNet: Toward fast and lightweight convolutional neural networks | via | architecture distillation |
| LIME: Low-Light Image Enhancement | via | Illumination Map Estimation |
| Limited view CT reconstruction and segmentation | via | constrained metric labeling |
| Limited view CT reconstruction | via | constrained metric labeling |
| Limited-Angle CT Reconstruction | via | the L_1/L_2 Minimization |
| Limited-Memory Belief Propagation | via | Nested Optimization |
| Limits of Accuracy for Parameter Estimation and Localization in Single-Molecule Microscopy | via | Sequential Monte Carlo Methods |
| Line Enhancement and Completion | via | Linear Left Invariant Scale Spaces on SE(2) |
| Line segment matching and reconstruction | via | exploiting coplanar cues |
| line- and block-like structures extraction | via | ingenious snake, The |
| Line-Based Structural Matching | via | Segment Splitting |
| Linear classifier combination | via | multiple potential functions |
| Linear Dimensionality Reduction | via | a Heteroscedastic Extension of LDA: The Chernoff Criterion |
| Linear Discriminant-Analysis for Two Classes | via | Removal of Classification Structure |
| Linear Feature Detection and Enhancement in Noisy Images | via | the Radon Transform |
| Linear feature extraction by integrating pairwise and global discriminatory information | via | sequential forward floating selection and kernel QR factorization with column pivoting |
| Linear Regression Without Correspondences | via | Concave Minimization |
| Linear Spectral Mixture Analysis | via | Multiple-Kernel Learning for Hyperspectral Image Classification |
| linear subspace learning approach | via | sparse coding, A |
| Linearized Bregman Method | via | Split Feasibility Problems: Analysis and Generalizations, The |
| Link prediction | via | Supervised Dynamic Network Formation |
| Linkage Based Face Clustering | via | Graph Convolution Network |
| Linking Garment with Person | via | Semantically Associated Landmarks for Virtual Try-On |
| Linking Sequences of Active Appearance Sub-Models | via | Constraints: An Application in Automated Vertebral Morphometry |
| LiP-Flow: Learning Inference-Time Priors for Codec Avatars | via | Normalizing Flows in Latent Space |
| Lip-reading | via | a DNN-HMM hybrid system using combination of the image-based and model-based features |
| Lip2Vec: Efficient and Robust Visual Speech Recognition | via | Latent-to-Latent Visual to Audio Representation Mapping |
| Liquid Pouring Monitoring | via | Rich Sensory Inputs |
| LiteHandNet: A Lightweight Hand Pose Estimation Network | via | Structural Feature Enhancement |
| Live Cell Segmentation in Fluorescence Microscopy | via | Graph Cut |
| Liver Tumor Detection | via | A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images |
| Liver Venous Tree Separation | via | Twin-Line RANSAC and Murray's Law |
| LKDA-GAN: Cross-modality image synthesis | via | Generative Adversarial Network aggregating large kernel decomposable attention bottleneck block |
| LLaViLo: Boosting Video Moment Retrieval | via | Adapter-Based Multimodal Modeling |
| LLM: Learning Cross-Modality Person Re-Identification | via | Low-Rank Local Matching |
| LM-VC: Zero-Shot Voice Conversion | via | Speech Generation Based on Language Models |
| Local 3D Editing | via | 3D Distillation of CLIP Knowledge |
| Local Algorithm for the Computation of Image Velocity | via | Constructive Interference of Global Fourier Components, A |
| Local Algorithm for the Computation of Optic Flow | via | Constructive Interference of Global Fourier Components, A |
| Local Ambiguity Function Shaping | via | Unimodular Sequence Design |
| Local Co-Occurrence Selection | via | Partial Least Squares for Pedestrian Detection |
| Local Color Transfer | via | Probabilistic Segmentation by Expectation-Maximization |
| Local complexity adaptable trajectory partitioning | via | minimum message length |
| Local Facial Makeup Transfer | via | Disentangled Representation |
| Local image tagging | via | graph regularized joint group sparsity |
| Local JPEG Grid Detector | via | Blocking Artifacts, a Forgery Detection Tool |
| Local model-based hyperspectral pansharpening algorithm | via | optimization constraint equation and sliding window |
| Local nonlinear dimensionality reduction | via | preserving the geometric structure of data |
| Local Regression Learning | via | Forest Classification for 2D/3D Deformable Registration |
| Local Spatial Co-occurrence for Background Subtraction | via | Adaptive Binned Kernel Estimation |
| local tangent plane distance-based approach to 3D point cloud segmentation | via | clustering, A |
| Local-Adaptive Face Recognition | via | Graph-based Meta-Clustering and Regularized Adaptation |
| Local-Global Graph Pooling | via | Mutual Information Maximization for Video-Paragraph Retrieval |
| Localisation | via | Deep Imagination: Learn the Features Not the Map |
| Locality constraint neighbor embedding | via | KPCA and optimized reference patch for face hallucination |
| Localization of a mobile laser scanner | via | dimensional reduction |
| Localization of More Sources Than Sensors | via | Jointly-Sparse Bayesian Learning |
| Localization of Multi-pose and Occluded Facial Features | via | Sparse Shape Representation |
| Localization of Pointed-At Word in Printed Documents | via | a Single Neural Network |
| Localization of sparse image tampering | via | random projections |
| Localization | via | Visible Light Systems |
| Localized anomaly detection | via | hierarchical integrated activity discovery |
| Localizing Moments in Long Video | via | Multimodal Guidance |
| Localizing SDG 11.6.2 | via | Earth Observation, Modelling Applications, and Harmonised City Definitions: Policy Implications on Addressing Air Pollution |
| Locate, Size, and Count: Accurately Resolving People in Dense Crowds | via | Detection |
| Locating Parking Hubs in Free-Floating Ride Share Systems | via | Data-Driven Optimization |
| Locating the optic disk in retinal images | via | plausible detection and constraint satisfaction |
| Locating X-Ray Coronary Angiogram Keyframes | via | Long Short-Term Spatiotemporal Attention With Image-to-Patch Contrastive Learning |
| Location recognition on lifelog images | via | a discriminative combination of generative models |
| Locop: Local Collaborative Object Presence for Semantic Labeling | via | Score Map Re-Inference |
| Logging Trail Segmentation | via | a Novel U-Net Convolutional Neural Network and High-Density Laser Scanning Data |
| Logo Recognition | via | Improved Topological Constraint |
| LOHO: Latent Optimization of Hairstyles | via | Orthogonalization |
| Long Short View Feature Decomposition | via | Contrastive Video Representation Learning |
| Long-Form Video Question Answering | via | Dynamic Hierarchical Reinforced Networks |
| Long-tail Recognition | via | Compositional Knowledge Transfer |
| Long-Tailed Federated Learning | via | Aggregated Meta Mapping |
| Long-Tailed Graph Representation Learning | via | Dual Cost-Sensitive Graph Convolutional Network |
| Long-Tailed Recognition | via | Weight Balancing |
| Long-tailed Visual Recognition | via | Gaussian Clouded Logit Adjustment |
| Long-Tailed Visual Recognition | via | Self-Heterogeneous Integration with Knowledge Excavation |
| Long-term adaptive tracking | via | complementary trackers |
| Long-term correlation tracking | via | spatial-temporal context |
| Long-Term Incremental Web-Supervised Learning of Visual Concepts | via | Random Savannas |
| Long-Term Peatland Condition Assessment | via | Surface Motion Monitoring Using the ISBAS DInSAR Technique over the Flow Country, Scotland |
| Long-term Video Frame Interpolation | via | Feature Propagation |
| Long-Term Video Prediction | via | Criticization and Retrospection |
| Long-Term Video Question Answering | via | Multimodal Hierarchical Memory Attentive Networks |
| Longitudinal Face Modeling | via | Temporal Deep Restricted Boltzmann Machines |
| Longitudinal Prediction of Infant Diffusion MRI Data | via | Graph Convolutional Adversarial Networks |
| Longitudinal prediction of postnatal brain magnetic resonance images | via | a metamorphic generative adversarial network |
| Longitudinal Scoliotic Trunk Analysis | via | Spectral Representation and Statistical Analysis |
| Look Around for Anomalies: Weakly-Supervised Anomaly Detection | via | Context-Motion Relational Learning |
| Look Closer to Supervise Better: One-Shot Font Generation | via | Component-Based Discriminator |
| Look, Perceive and Segment: Finding the Salient Objects in Images | via | Two-stream Fixation-Semantic CNNs |
| Look, Radiate, and Learn: Self-Supervised Localisation | via | Radio-Visual Correspondence |
| Looking Into Saliency Model | via | Space-Time Visualization |
| Lose the Views: Limited Angle CT Reconstruction | via | Implicit Sinogram Completion |
| Lossless acceleration of fractal image encoding | via | the fast Fourier transform |
| Lossless AI: Toward Guaranteeing Consistency between Inferences Before and After Quantization | via | Knowledge Distillation |
| Lossless Compression of Color Filter Array Mosaic Images With Visualization | via | JPEG 2000 |
| Lossless Compression of Continuous-Tone Images | via | Context Selection, Quantization, and Modeling |
| Lossless Compression of Hyperspectral Imagery | via | Clustered Differential Pulse Code Modulation with Removal of Local Spectral Outliers |
| Lossless image coding | via | adaptive linear prediction and classification |
| Lossless image compression | via | predictive coding of discrete Radon projections |
| Lossy LiDAR Point Cloud Compression | via | Cylindrical 3D Convolution Networks |
| Lossy Point Cloud Geometry Compression | via | Dyadic Decomposition |
| Lossy Point Cloud Geometry Compression | via | End-to-End Learning |
| Lossy Point Cloud Geometry Compression | via | Region-Wise Processing |
| Low Bit-Rate Image Compression | via | Adaptive Down-Sampling and Constrained Least Squares Upconversion |
| Low bit-rate video coding | via | mode-dependent adaptive regression for wireless visual communications |
| Low Level Moving-Feature Extraction | via | Heat Flow Analogy |
| Low level vision | via | switchable Markov random fields |
| Low Light Image Enhancement | via | Sparse Representations |
| Low rank and collaborative representation for hyperspectral anomaly detection | via | robust dictionary construction |
| Low rank matrix recovery | via | augmented lagrange multiplier with nonconvex minimization |
| Low-Complexity Block-Based Motion Estimation | via | One-Bit Transforms |
| Low-Complexity Lossless Compression of Hyperspectral Imagery | via | Linear Prediction |
| Low-complexity lossless video coding | via | adaptive spatio-temporal prediction |
| Low-complexity lossy compression of hyperspectral images | via | informed quantization |
| Low-complexity video coding | via | power-rate-distortion optimization |
| Low-delay rate control for DCT video coding | via | rho-domain source modeling |
| Low-Dose CT Denoising | via | Sinogram Inner-Structure Transformer |
| Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction | via | Kronecker-Basis-Representation Tensor Sparsity Regularization |
| Low-Dose X-ray CT Reconstruction | via | Dictionary Learning |
| Low-Frequency Magnetic Subsurface Imaging: Reconstructing Conductivity Images of Biological Tissues | via | Magnetic Measurements |
| Low-Level Segmentation of Multispectral Images | via | Agglomerative Clustering of Uniform Neighbourhoods |
| Low-light Color Imaging | via | Dual Camera Acquisition |
| Low-Light Image Enhancement | via | a Deep Hybrid Network |
| Low-light Image Enhancement | via | Breaking Down the Darkness |
| Low-light image enhancement | via | deep Retinex decomposition and bilateral learning |
| Low-Light Image Enhancement | via | Poisson Noise Aware Retinex Model |
| Low-Light Image Enhancement | via | Progressive-Recursive Network |
| Low-Light Image Enhancement | via | Self-Reinforced Retinex Projection Model |
| Low-light image enhancement | via | span correction function and discrete mapping model |
| Low-Light Image Enhancement | via | Stage-Transformer-Guided Network |
| Low-Light Image Enhancement | via | Structure Modeling and Guidance |
| Low-Light Image Enhancement | via | the Absorption Light Scattering Model |
| Low-Lightgan: Low-Light Enhancement | via | Advanced Generative Adversarial Network With Task-Driven Training |
| Low-quality facial biometric verification | via | dictionary-based random pooling |
| Low-rank and sparse matrix decomposition | via | the truncated nuclear norm and a sparse regularizer |
| Low-Rank and Sparsity Analysis Applied to Speech Enhancement | via | Online Estimated Dictionary |
| Low-Rank Approximation | via | Generalized Reweighted Iterative Nuclear and Frobenius Norms |
| Low-Rank Decomposition-Based Restoration of Compressed Images | via | Adaptive Noise Estimation |
| Low-Rank Matrix Completion Theory | via | Plucker Coordinates |
| Low-Rank Matrix Recovery | via | Modified Schatten-p Norm Minimization With Convergence Guarantees |
| Low-Rank Matrix Recovery | via | Robust Outlier Estimation |
| Low-rank sparse representation for single image super-resolution | via | self-similarity learning |
| Low-rank tensor completion for visual data recovery | via | the tensor train rank-1 decomposition |
| Low-rank tensor recovery | via | non-convex regularization, structured factorization and spatio-temporal characteristics |
| Low-rate sequence image coding | via | vector quantization |
| Low-Resolution Face Recognition in the Wild | via | Selective Knowledge Distillation |
| Low-Resolution Face Recognition | via | Coupled Locality Preserving Mappings |
| LR-RoadNet: A long-range context-aware neural network for road extraction | via | high-resolution remote sensing images |
| LR3M: Robust Low-Light Enhancement | via | Low-Rank Regularized Retinex Model |
| LSR based astronomical image denoising | via | adaptive dictionary learning |
| Lung Disease Classification in Chest X-Rays with Feature Fusion | via | Stacked Convolutional Denoising Autoencoders |
| LV volume quantification | via | spatiotemporal analysis of real-time 3-D echocardiography |
| L_1 -Regularization-Based SAR Imaging and CFAR Detection | via | Complex Approximated Message Passing |
| L_1-Norm Quantile Regression Screening Rule | via | the Dual Circumscribed Sphere |
| L_2 Restoration of L_inf -Decoded Images | via | Soft-Decision Estimation |
| L_p Norm Localized Multiple Kernel Learning | via | Semi-Definite Programming |
| M-VIVIE: A multi-thread video indexer | via | identity extraction |
| M2m: Imbalanced Classification | via | Major-to-Minor Translation |
| M3L: Language-based Video Editing | via | Multi-Modal Multi-Level Transformers |
| M3P: Learning Universal Representations | via | Multitask Multilingual Multimodal Pre-training |
| Machine Learned Texture Prior From Full-Dose CT Database | via | Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT |
| Machine Learning Approach to Design of Aperiodic, Clustered-Dot Halftone Screens | via | Direct Binary Search, A |
| Machine learning in precision medicine to preserve privacy | via | encryption |
| Machine Learning-Based Fast Intra Mode Decision for HEVC Screen Content Coding | via | Decision Trees |
| Machine learning-based H.264/AVC to HEVC transcoding | via | motion information reuse and coding mode similarity analysis |
| Machine Recognition of Printed Chinese Characters | via | Transformation Algorithms |
| Machine Visualization of Three-Dimensional Objects | via | Skeletal Transformations |
| MagicNet: Semi-Supervised Multi-Organ Segmentation | via | Magic-Cube Partition and Recovery |
| Magnetic resonance imaging reconstruction | via | non-convex total variation regularization |
| Main subject detection | via | adaptive feature selection |
| Makeup Removal | via | Bidirectional Tunable De-Makeup Network |
| Making better use of edges | via | perceptual grouping |
| Making depthwise convolution SR-friendly | via | kernel attention injection |
| Making the Invisible Visible: Toward High-Quality Terahertz Tomographic Imaging | via | Physics-Guided Restoration |
| MAML-SR: Self-adaptive super-resolution networks | via | multi-scale optimized attention-aware meta-learning |
| MAN: Moment Alignment Network for Natural Language Moment Retrieval | via | Iterative Graph Adjustment |
| Managing Particle Spread | via | Hybrid Particle Filter/Kernel Mean Shift Tracking |
| Managing Time-Sensitive IoT Applications | via | Dynamic Application Task Distribution and Adaptation |
| Mangroves of the Zambezi Delta: Increase in Extent Observed | via | Satellite from 1994 to 2013, The |
| Manhattan Scene Understanding | via | XSlit Imaging |
| Manifold Alignment | via | Corresponding Projections |
| Manifold Learning | via | Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse Sampling |
| Manifold Matching | via | Deep Metric Learning for Generative Modeling |
| Manifold Transfer Learning | via | Discriminant Regression Analysis |
| Manipulating Image Style Transformation | via | Latent-Space SVM |
| ManiTrans: Entity-Level Text-Guided Image Manipulation | via | Token-wise Semantic Alignment and Generation |
| Manual-Label Free 3D Detection | via | An Open-Source Simulator |
| Manuscript Bleed-through Removal | via | Hysteresis Thresholding |
| Many-Objective RadarCom Signal Design | via | NSGA-II Genetic Algorithm Implementation and Simulation Analysis |
| Many-to-many graph matching | via | metric embedding |
| MAP Estimation | via | Agreement on (Hyper)Trees: Message-Passing and Linear-Programming Approaches |
| MAP Inference | via | Block-Coordinate Frank-Wolfe Algorithm |
| MAP Inference | via | L_2-Sphere Linear Program Reformulation |
| MAP-Based Image Interpolation Method | via | Viterbi Decoding of Markov Chains of Interpolation Functions, A |
| MAPoseNet: Animal pose estimation network | via | multi-scale convolutional attention |
| Mapping a lifelike 2.5 D human face | via | an automatic approach |
| Mapping Asbestos-Cement Corrugated Roofing Tiles with Imagery Cube | via | Machine Learning in Taiwan |
| Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis | via | Cross-Modal Mutual Learning |
| Mapping Multi-Temporal Population Distribution in China from 1985 to 2010 Using Landsat Images | via | Deep Learning |
| Mapping of Subtidal and Intertidal Seagrass Meadows | via | Application of the Feature Pyramid Network to Unmanned Aerial Vehicle Orthophotos |
| Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution | via | NDWI-Based Image Sharpening |
| Mapping Urban Excavation Induced Deformation in 3D | via | Multiplatform InSAR Time-Series |
| Margin Based Feature Selection for Cross-Sensor Iris Recognition | via | Linear Programming |
| Markerless Camera-to-Robot Pose Estimation | via | Self-Supervised Sim-to-Real Transfer |
| Marr Revisited: 2D-3D Alignment | via | Surface Normal Prediction |
| MARVEL: Raster Gray-Level Manga Vectorization | via | Primitive-Wise Deep Reinforcement Learning |
| Mask Guided Matting | via | Progressive Refinement Network |
| Mask-ShadowNet: Toward Shadow Removal | via | Masked Adaptive Instance Normalization |
| Masked Face Recognition | via | Self-Attention Based Local Consistency Regularization |
| Massive MIMO Channel Estimation for Millimeter Wave Systems | via | Matrix Completion |
| Match Box: Indoor Image Matching | via | Box-Like Scene Estimation |
| Matching image sets | via | adaptive multi convex hull |
| Matching Images to Models for Registration and Object Detection | via | Clustering |
| Matching Multi-Sensor Remote Sensing Images | via | an Affinity Tensor |
| Matching of Remote Sensing Images with Complex Background Variations | via | Siamese Convolutional Neural Network |
| MATR: Multimodal Medical Image Fusion | via | Multiscale Adaptive Transformer |
| Matrix completion | via | capped nuclear norm |
| Matrix Completion | via | Non-Convex Relaxation and Adaptive Correlation Learning |
| Matryoshka Networks: Predicting 3D Geometry | via | Nested Shape Layers |
| MatteFormer: Transformer-Based Image Matting | via | Prior-Tokens |
| MAXGNR: A Dynamic Weight Strategy | via | Maximizing Gradient-to-noise Ratio for Multi-Task Learning |
| Maximizing image quality over Visual Sensor Networks | via | DCT bit allocation |
| Maximum likelihood blind image restoration | via | alternating minimization |
| Maximum likelihood clustering | via | normal mixture models |
| Maximum Likelihood from Incomplete Data | via | the EM Algorithm |
| Maximum Likelihood Surface Profilometry | via | Optical coherence Tomography |
| Maximum Persistency | via | Iterative Relaxed Inference in Graphical Models |
| Maximum persistency | via | iterative relaxed inference with graphical models |
| Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework | via | Facet Enumeration and Convex Optimization |
| Maximum-likelihood estimation of circle parameters | via | convolution |
| MCNN: Conditional focus probability learning to multi-focus image fusion | via | mutually coupled neural network |
| MCSIP Net: Multichannel Satellite Image Prediction | via | Deep Neural Network |
| MCSNet: A Radio Frequency Interference Suppression Network for Spaceborne SAR Images | via | Multi-Dimensional Feature Transform |
| mDixon-based synthetic CT generation | via | transfer and patch learning |
| Meaningful Object Segmentation From SAR Images | via | a Multiscale Nonlocal Active Contour Model |
| Measurably Stronger Explanation Reliability | via | Model Canonization |
| Measuring Collectiveness in Crowded Scenes | via | Link Prediction |
| Measuring Convexity | via | Convex Polygons |
| Measuring Crowd Collectiveness | via | Global Motion Correlation |
| Measuring dependency | via | intrinsic dimensionality |
| Measuring Geodesic Distances | via | the Uniformization Theorem |
| Measuring Hidden Bias within Face Recognition | via | Racial Phenotypes |
| Measuring Image Distances | via | Embedding in a Semantic Manifold |
| Media pattern exhibition mechanism | via | mobile devices |
| MEDIC: Remove Model Backdoors | via | Importance Driven Cloning |
| Medical Image Fusion | via | Convolutional Sparsity Based Morphological Component Analysis |
| Medical Image Segmentation and Retrieval | via | Deformable Models |
| Medical Image Segmentation | via | Cascaded Attention Decoding |
| Medical image segmentation | via | min s-t cuts with sides constraints |
| Medical image steganographic algorithm | via | modified LSB method and chaotic map |
| Medical Visual Question Answering | via | Conditional Reasoning and Contrastive Learning |
| MEDIRL: Predicting the Visual Attention of Drivers | via | Maximum Entropy Deep Inverse Reinforcement Learning |
| Medusa: Universal Feature Learning | via | Attentional Multitasking |
| MEEM: Robust Tracking | via | Multiple Experts Using Entropy Minimization |
| MEF-GAN: Multi-Exposure Image Fusion | via | Generative Adversarial Networks |
| MeFirst ranking and multiple dichotomies: | via | Linear Programming and Neural Networks |
| Membrane segmentation | via | active learning with deep networks |
| MemeNet: Toward a Reliable Local Projection for Image Recognition | via | Semantic Featurization |
| Memorize, Associate and Match: Embedding Enhancement | via | Fine-Grained Alignment for Image-Text Retrieval |
| Memory Population in Continual Learning | via | Outlier Elimination |
| Memory-Efficient Models for Scene Text Recognition | via | Neural Architecture Search |
| Memory-Friendly Scalable Super-Resolution | via | Rewinding Lottery Ticket Hypothesis |
| Mental Retrieval of Remote Sensing Images | via | Adversarial Sketch-Image Feature Learning |
| Mental Workload Classification | via | Online Writing Features |
| MEQA: Manifold embedding quality assessment | via | anisotropic scaling and Kolmogorov-Smirnov test |
| MERF: A Practical HDR-Like Image Generator | via | Mutual-Guided Learning Between Multi-Exposure Registration and Fusion |
| Mesh saliency detection | via | double absorbing Markov chain in feature space |
| Meta Learning | via | Learned Loss |
| Metadata-Based RAW Reconstruction | via | Implicit Neural Functions |
| Metadistiller: Network Self-boosting | via | Meta-learned Top-down Distillation |
| MetaFusion: Infrared and Visible Image Fusion | via | Meta-Feature Embedding from Object Detection |
| MetaMax: Improved Open-Set Deep Neural Networks | via | Weibull Calibration |
| MetaSearch: Incremental Product Search | via | Deep Meta-Learning |
| METEOR: Measurable Energy Map Toward the Estimation of Resampling Rate | via | a Convolutional Neural Network |
| Method and apparatus for external calibration of a camera | via | a graphical user interface |
| Method and apparatus for multi-dimensional shape representation | via | shock flows |
| Method and apparatus for recognition of objects | via | position and orientation consensus of local image encoding |
| Method for the estimation of rotation between two frames | via | epipolar search for use in a three-dimensional representation |
| Metric learning | via | feature weighting for scalable image retrieval |
| Metric learning | via | perturbing hard-to-classify instances |
| Metric planar rectification from perspective view | via | circles |
| Metro Passenger Flow Prediction | via | Dynamic Hypergraph Convolution Networks |
| MFATNet: Multi-Scale Feature Aggregation | via | Transformer for Remote Sensing Image Change Detection |
| MFMAM: Image inpainting | via | multi-scale feature module with attention module |
| Micro-Doppler Effects Removed Sparse Aperture ISAR Imaging | via | Low-Rank and Double Sparsity Constrained ADMM and Linearized ADMM |
| Micro-Motion Classification of Flying Bird and Rotor Drones | via | Data Augmentation and Modified Multi-Scale CNN |
| Micro-Video Popularity Prediction | via | Multimodal Variational Information Bottleneck |
| Microaneurysm (MA) Detection | via | Sparse Representation Classifier with MA and Non-MA Dictionary Learning |
| Microarray image gridding | via | an evolutionary algorithm |
| Microcalcification cluster detection using multiscale products based Hessian matrix | via | the Tsallis thresholding scheme |
| Microscale Image Enhancement | via | PCA and Well-Exposedness Maps |
| Microwave Tomography Strategy for Underwater Imaging | via | Ground Penetrating Radar, A |
| MIEGAN: Mobile Image Enhancement | via | a Multi-Module Cascade Neural Network |
| MILA: Multi-Task Learning from Videos | via | Efficient Inter-Frame Attention |
| MiLeNAS: Efficient Neural Architecture Search | via | Mixed-Level Reformulation |
| MILES: Multiple-Instance Learning | via | Embedded Instance Selection |
| Mimic Embedding | via | Adaptive Aggregation: Learning Generalizable Person Re-identification |
| Mimic3D: Thriving 3D-Aware GANs | via | 3D-to-2D Imitation |
| MIML-FCN+: Multi-Instance Multi-Label Learning | via | Fully Convolutional Networks with Privileged Information |
| MIMO Radar Transmit Waveform Design for Beampattern Matching | via | Complex Circle Optimization |
| Minimization of Monotonically Levelable Higher Order MRF Energies | via | Graph Cuts |
| Minimizing Reconstruction Bias Hashing | via | Joint Projection Learning and Quantization |
| Minimizing the Total Liner Shipping Route Service Costs | via | Application of an Efficient Collaborative Agreement |
| Mining deep And-Or object structures | via | cost-sensitive question-answer-based active annotations |
| Mining Interpretable AOG Representations From Convolutional Networks | via | Active Question Answering |
| Mining Large-Scale News Video Database | via | Knowledge Visualization |
| Mining Object Parts from CNNs | via | Active Question-Answering |
| Mining Personal Frequent Routes | via | Road Corner Detection |
| Mining Road Network Correlation for Traffic Estimation | via | Compressive Sensing |
| Mining Visual Collocation Patterns | via | Self-Supervised Subspace Learning |
| MINT: Deep Network Compression | via | Mutual Information-based Neuron Trimming |
| Misaligned RGB-Infrared Object Detection | via | Adaptive Dual-Discrepancy Calibration |
| Mismatch Removal for Wide-baseline Image Matching | via | Coherent Region-to-Region Correspondence |
| Mismatch removal | via | coherent spatial mapping |
| MisMatch: Calibrated Segmentation | via | Consistency on Differential Morphological Feature Perturbations With Limited Labels |
| Missing Data Imputation | via | Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation |
| Missing Data Recovery | via | Deep Networks for Limited Ground Penetrating Radar Measurements |
| Missing Image Data Reconstruction Based on Adaptive Inverse Projection | via | Sparse Representation |
| Missing Modalities Imputation | via | Cascaded Residual Autoencoder |
| Missing Modality Transfer Learning | via | Latent Low-Rank Constraint |
| MISSU: 3D Medical Image Segmentation | via | Self-Distilling TransUNet |
| Mitigate the classification ambiguity | via | localization-classification sequence in object detection |
| Mitigating Demographic Bias in Face Recognition | via | Regularized Score Calibration |
| Mitigating Face Recognition Bias | via | Group Adaptive Classifier |
| Mitigating Intensity Bias in Shadow Detection | via | Feature Decomposition and Reweighting |
| Mitigating Label Noise in GANs | via | Enhanced Spectral Normalization |
| Mitigating Task Interference in Multi-Task Learning | via | Explicit Task Routing with Non-Learnable Primitives |
| MixCycle: Unsupervised Speech Separation | via | Cyclic Mixture Permutation Invariant Training |
| Mixed Noise Removal in Hyperspectral Image | via | Low-Fibered-Rank Regularization |
| Mixed Noise Removal | via | Laplacian Scale Mixture Modeling and Nonlocal Low-Rank Approximation |
| Mixed SIGNals: Sign Language Production | via | a Mixture of Motion Primitives |
| Mixed-Precision Neural Network Quantization | via | Learned Layer-Wise Importance |
| MixMo: Mixing Multiple Inputs for Multiple Outputs | via | Deep Subnetworks |
| MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking | via | Multimodal Redundancy |
| MMST-ViT: Climate Change-aware Crop Yield Prediction | via | Multi-Modal Spatial-Temporal Vision Transformer |
| Mobile image restoration | via | prior quantization |
| Mobile Live Video Streaming Optimization | via | Crowdsourcing Brokerage |
| Mobile Panoramic Vision for Assisting the Blind | via | Indexing and Localization |
| Mobile Target Scenario Recognition | via | Low-Cost Pyroelectric Sensing System: Toward a Context-Enhanced Accurate Identification |
| Mobile User Interface Element Detection | via | Adaptively Prompt Tuning |
| Mobile-Target Tracking | via | Highly-Maneuverable VTOL UAVs with EO Vision |
| MOC | via | TOC Using a Mobile Agent Framework |
| Mode seeking on graphs for geometric model fitting | via | preference analysis |
| Mode-detection | via | median-shift |
| Mode-seeking on graphs | via | random walks |
| Mode-Switched Control Architecture for Human-in-the-Loop Teleoperation of Multislave Robots | via | Data-Training-Based Observer, A |
| MODE: Monocular omnidirectional depth estimation | via | consistent depth fusion |
| Model construction of mix-valued logical network | via | observed data |
| Model-Agnostic Visual Explanations | via | Approximate Bilinear Models |
| Model-assisted Labeling | via | Explainability for Visual Inspection of Civil Infrastructures |
| Model-based 3D Hand Reconstruction | via | Self-Supervised Learning |
| Model-Based Characterization of Statistically Optimal Design for Morphological Shape Recognition Algorithms | via | the Hit-or-Miss Transform |
| Model-based hand pose estimation | via | spatial-temporal hand parsing and 3D fingertip localization |
| Model-Based Localization Method by Non-speech Sound | via | Wavelet Transform and Dynamic Neural Network |
| Model-Based Multi-Object Segmentation | via | Distribution Matching |
| Model-based Persian calligraphy synthesis | via | learning to transfer templates to personal styles |
| Model-Based Quantitative Cross-Borehole GPR Imaging | via | Virtual Experiments |
| Model-Blind Video Denoising | via | Frame-To-Frame Training |
| Modeling and Estimation of the Dynamics of Planar Algebraic Curves | via | Riccati Equations |
| Modeling and identification of group motion | via | compound evaluation of positional and directional cues |
| Modeling Crowd Evacuation | via | Behavioral Heterogeneity-Based Social Force Model |
| Modeling Gabor Coefficients | via | Generalized Gaussian Distributions for Face Recognition |
| Modeling Multi-object Configurations | via | Medial/Skeletal Linking Structures |
| Modeling of Crowd Evacuation With Assailants | via | a Fuzzy Logic Approach |
| Modeling Perception in Autonomous Vehicles | via | 3D Convolutional Representations on LiDAR |
| Modeling Segmentation | via | Geometric Deformable Regularizers, Pde And Level Sets In Still And Motion Imagery: A Revisit |
| Modeling Stylized Character Expressions | via | Deep Learning |
| Modeling Task fMRI Data | via | Deep Convolutional Autoencoder |
| Modeling the axial extension of a transmission line source within iterative reconstruction | via | multiple transmission sources |
| Modeling the Global Relationship | via | the Point Cloud Transformer for the Terrain Filtering of Airborne LiDAR Data |
| Modeling Transpiration with Sun-Induced Chlorophyll Fluorescence Observations | via | Carbon-Water Coupling Methods |
| Modeling Visual-Attention | via | Selective Tuning |
| Modelling 3-Coloring of Polygonal Trees | via | Incremental Satisfiability |
| Modelling eye-movement control | via | a constrained search approach |
| Modelling Reflections | via | Multiperspective Imaging |
| Modernizing Old Photos Using Multiple References | via | Photorealistic Style Transfer |
| Modified Exemplar-Based Image Inpainting | via | Primal-Dual Optimization |
| modified eye-in-hand stereo visual control for grasping unknown objects | via | Scara robot, A |
| modified Gaussian mixture background model | via | spatiotemporal distribution with shadow detection, A |
| Modulating Bottom-Up and Top-Down Visual Processing | via | Language-Conditional Filters |
| Modulating Image Restoration With Continual Levels | via | Adaptive Feature Modification Layers |
| Modulation Classification | via | Gibbs Sampling Based on a Latent Dirichlet Bayesian Network |
| Moire Pattern Removal from Texture Images | via | Low-Rank and Sparse Matrix Decomposition |
| Moire Pattern Removal | via | Attentive Fractal Network |
| MOL: Towards accurate weakly supervised remote sensing object detection | via | Multi-view nOoisy Learning |
| Moment Retrieval | via | Cross-Modal Interaction Networks With Query Reconstruction |
| MONET: Multiview Semi-Supervised Keypoint Detection | via | Epipolar Divergence |
| Monitoring Ground Subsidence in Hong Kong | via | Spaceborne Radar: Experiments and Validation |
| Monitoring inland water | via | Sentinel satellite constellation: A review and perspective |
| Monitoring Photovoltaic Panels Using the ESP32 Microcontroller | via | low-power Bluetooth Communication |
| Monitoring the Recovery after 2016 Hurricane Matthew in Haiti | via | Markovian Multitemporal Region-Based Modeling |
| Monitoring the thermal deformation of steel beams | via | vision metrology |
| Monitoring Thermal Exchange of Hot Water Mass | via | Underwater Acoustic Tomography with Inversion and Optimization Method |
| Monitoring Water Surface and Level of a Reservoir Using Different Remote Sensing Approaches and Comparison with Dam Displacements Evaluated | via | GNSS |
| Monocular 3D multi-person pose estimation | via | predicting factorized correction factors |
| Monocular 3d Object Detection | via | Feature Domain Adaptation |
| Monocular 3D object detection | via | Mask-Revised Network and quality perception loss |
| Monocular 3D Pose Estimation | via | Pose Grammar and Data Augmentation |
| Monocular 3D Reconstruction of Interacting Hands | via | Collision-Aware Factorized Refinements |
| Monocular Camera-Based Complex Obstacle Avoidance | via | Efficient Deep Reinforcement Learning |
| Monocular catadioptric panoramic depth estimation | via | caustics-based virtual scene transition |
| Monocular Depth Estimation | via | Deep Structured Models with Ordinal Constraints |
| Monocular Depth Estimation | via | Listwise Ranking using the Plackett-Luce Model |
| Monocular Road Scene Bird's Eye View Prediction | via | Big Kernel-Size Encoder and Spatial-Channel Transform Module |
| Monocular SLAM with locally planar landmarks | via | geometric rao-blackwellized particle filtering on Lie groups |
| MoreauGrad: Sparse and Robust Interpretation of Neural Networks | via | Moreau Envelope |
| MORGAN: Meta-Learning-based Few-Shot Open-Set Recognition | via | Generative Adversarial Network |
| Morphological Decomposition and Compression of Binary Images | via | a Minimum Set Cover Algorithm |
| Morphology for Color Images | via | Loewner Order for Matrix Fields |
| Mortality Prediction | via | Logistic Regression in Intensive Care Unit Patients with Pneumonia |
| Mosaic Super-resolution | via | Sequential Feature Pyramid Networks |
| Motion Analysis | via | Interframe Point Correspondence Establishment |
| Motion Analysis | via | Local Translational Processing |
| Motion artifact correction of MRI | via | iterative inverse problem solving |
| Motion Blur Kernel Estimation | via | Deep Learning |
| Motion blur removal | via | coupled autoencoder |
| Motion Capture Data Completion | via | Truncated Nuclear Norm Regularization |
| Motion Compensation for Airborne SAR | via | Parametric Sparse Representation |
| Motion Compensation | via | Redundant-Wavelet Multihypothesis |
| Motion control of unmanned underwater vehicles | via | deep imitation reinforcement learning algorithm |
| Motion detection | via | change-point detection for cumulative histograms of ratio images |
| Motion Estimation for Spike Camera Data Sequence | via | Spike Interval Analysis |
| Motion Estimation | via | Belief Propagation |
| Motion Estimation | via | Cluster Matching |
| Motion estimation | via | dynamic vision |
| Motion estimation | via | hierarchical block matching and graph cut |
| Motion field and occlusion time estimation | via | alternate exposure flow |
| Motion Guidance for a Passive Robot Walking Helper | via | User's Applied Hand Forces |
| Motion Part Regularization: Improving action recognition | via | trajectory group selection |
| Motion segmentation and abnormal behavior detection | via | behavior clustering |
| Motion Segmentation | via | a Sparsity Constraint |
| Motion Segmentation | via | Generalized Curvatures |
| Motion segmentation | via | overlapping temporal windows |
| Motion segmentation | via | robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories |
| Motion Segmentation | via | Synchronization |
| Motion sketch based crowd video retrieval | via | motion structure coding |
| Motion Trajectory Segmentation | via | Minimum Cost Multicuts |
| Motion-Adaptive Deinterlacer | via | Hybrid Motion Detection and Edge-Pattern Recognition, A |
| Motion-aware Contrastive Video Representation Learning | via | Foreground-background Merging |
| Motion-blur kernel size estimation | via | learning a convolutional neural network |
| Motion-Driven Tracking | via | End-to-End Coarse-to-Fine Verifying |
| Motion-State-Adaptive Video Summarization | via | Spatiotemporal Analysis |
| MotionGPT: Human Motion Synthesis with Improved Diversity and Realism | via | GPT-3 Prompting |
| Movie Content Analysis, Indexing and Skimming | via | Multimodal Information |
| Movie dimensionalization | via | sparse user annotations |
| Movie Question Answering | via | Textual Memory and Plot Graph |
| Movie Recommendation | via | BLSTM |
| Moving foreground object detection | via | robust SIFT trajectories |
| Moving Object Detection by Robust PCA Solved | via | a Linearized Symmetric Alternating Direction Method |
| Moving Object Detection in Video | via | Hierarchical Modeling and Alternating Optimization |
| Moving Object Detection | via | Robust Low Rank Matrix Decomposition with Irls Scheme |
| Moving Object Detection With a Freely Moving Camera | via | Background Motion Subtraction |
| Moving object tracking | via | one-dimensional optical flow using queue |
| Moving shadow detection | via | binocular vision and colour clustering |
| Moving Target Detection and Parameter Estimation | via | a Modified Imaging STAP with a Large Baseline in Multistatic GEO SAR |
| Moving Target's HRRP Synthesis With Sparse Frequency-Stepped Chirp Signal | via | Atomic Norm Minimization |
| Moving-edge detection | via | heat flow analogy |
| MPEG4 performance-driven avatar | via | robust facial motion tracking |
| MR image restoration and segmentation | via | denoising deep adversarial network for blood vessels accurate diagnosis |
| MR images segmentation and bias correction | via | LIC model |
| MR.TOMP: Inversion of the Modulo Radon Transform (MRT) | via | Orthogonal Matching Pursuit (OMP) |
| MRA-Net: Improving VQA | via | Multi-Modal Relation Attention Network |
| MRF Energy Minimization and Beyond | via | Dual Decomposition |
| MRF Optimization | via | Dual Decomposition: Message-Passing Revisited |
| MRFormer: Multiscale retractable transformer for medical image progressive denoising | via | noise level estimation |
| MRFs for MRIs: Bayesian Reconstruction of MR Images | via | Graph Cuts |
| MS-AGAN: Road Extraction | via | Multi-Scale Information Fusion and Asymmetric Generative Adversarial Networks from High-Resolution Remote Sensing Images under Complex Backgrounds |
| MS2DG-Net: Progressive Correspondence Learning | via | Multiple Sparse Semantics Dynamic Graph |
| MSCAF-Net: A General Framework for Camouflaged Object Detection | via | Learning Multi-Scale Context-Aware Features |
| MSdB-NMF: MultiSpectral Document Image Binarization Framework | via | Non-Negative Matrix Factorization Approach |
| MSDRN: Pansharpening of Multispectral Images | via | Multi-Scale Deep Residual Network |
| MSFRNet: Two-Stream Deep Forgery Detector | via | Multi-Scale Feature Extraction |
| MSFSR: A Multi-Stage Face Super-Resolution with Accurate Facial Representation | via | Enhanced Facial Boundaries |
| MSIDA-Net: Point Cloud Semantic Segmentation | via | Multi-Spatial Information and Dual Adaptive Blocks |
| MSISR-STF: Spatiotemporal Fusion | via | Multilevel Single-Image Super-Resolution |
| MSResNet: Multiscale Residual Network | via | Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery |
| MsVRL: Self-Supervised Multiscale Visual Representation Learning | via | Cross-Level Consistency for Medical Image Segmentation |
| MTCD: Cataract detection | via | near infrared eye images |
| MTFormer: Multi-task Learning | via | Transformer and Cross-Task Reasoning |
| MTStereo 2.0: Accurate Stereo Depth Estimation | via | Max-Tree Matching |
| Multi-Atlas Image Soft Segmentation | via | Computation of the Expected Label Value |
| Multi-Attribute Subspace Clustering | via | Auto-Weighted Tensor Nuclear Norm Minimization |
| Multi-body Segmentation and Motion Number Estimation | via | Over-Segmentation Detection |
| Multi-Camera Color Correction | via | Hybrid Histogram Matching |
| Multi-camera multi-object tracking on the move | via | single-stage global association approach |
| Multi-camera Scene Reconstruction | via | Graph Cuts |
| Multi-Circular SAR Three-Dimensional Image Formation | via | Group Sparsity in Adjacent Sub-Apertures |
| Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor | via | Multi-Source Domain Adaptation and Multi-View Sparse Representation |
| Multi-classification of Parkinson's Disease | via | Sparse Low-Rank Learning |
| Multi-ColorGAN: Few-shot vehicle recoloring | via | memory-augmented networks |
| Multi-Cue Illumination Estimation | via | a Tree-Structured Group Joint Sparse Representation |
| Multi-dimensional classification | via | kNN feature augmentation |
| Multi-dimensional Histogram Comparison | via | Scale Trees |
| Multi-Dimensional Vision Transformer Compression | via | Dependency Guided Gaussian Process Search |
| Multi-Dimensional Visual Data Completion | via | Low-Rank Tensor Representation Under Coupled Transform |
| Multi-Domain Image-to-Image Translation | via | a Unified Circular Framework |
| Multi-exposure image fusion | via | a pyramidal integration of the phase congruency of input images with the intensity-based maps |
| Multi-Exposure Image Fusion | via | Deformable Self-Attention |
| Multi-Exposure Image Fusion | via | Multi-Scale and Context-Aware Feature Learning |
| Multi-Feature Fusion | via | Hierarchical Regression for Multimedia Analysis |
| Multi-Focus Image Fusion | via | Boundary Finding and Multi-Scale Morphological Focus-Measure |
| Multi-focus image fusion | via | Joint convolutional analysis and synthesis sparse representation |
| Multi-Focus Image Fusion With a Natural Enhancement | via | a Joint Multi-Level Deeply Supervised Convolutional Neural Network |
| Multi-Graph Matching | via | Affinity Optimization with Graduated Consistency Regularization |
| Multi-guided-based image matting | via | boundary detection |
| Multi-image Matching | via | Fast Alternating Minimization |
| Multi-image saliency analysis | via | histogram and spectral feature clustering for satellite images |
| Multi-instance dictionary learning | via | multivariate performance measure optimization |
| Multi-instance learning | via | instance-based and bag-based representation transformations |
| Multi-instance multi-label learning of natural scene images: | via | sparse coding and multi-layer neural network |
| Multi-label chest X-ray image classification | via | category-wise residual attention learning |
| Multi-Label Chest X-Ray Image Classification | via | Semantic Similarity Graph Embedding |
| Multi-label Classification for Image Annotation | via | Sparse Similarity Voting |
| Multi-Label classification of multi-modality skin lesion | via | hyper-connected convolutional neural network |
| Multi-Label Classification | via | Adaptive Resonance Theory-Based Clustering |
| Multi-label classification | via | label correlation and first order feature dependance in a data stream |
| Multi-Label Emotion Detection | via | Emotion-Specified Feature Extraction and Emotion Correlation Learning |
| Multi-label feature selection | via | latent representation learning and dynamic graph constraints |
| Multi-label feature selection | via | manifold regularization and dependence maximization |
| Multi-label feature selection | via | robust flexible sparse regularization |
| Multi-label image annotation | via | Maximum Consistency |
| Multi-Label Image Classification | via | Category Prototype Compositional Learning |
| Multi-label image segmentation | via | max-sum solver |
| Multi-label image segmentation | via | point-wise repetition |
| Multi-label MRF Optimization | via | a Least Squares s-t Cut |
| Multi-label out-of-distribution detection | via | exploiting sparsity and co-occurrence of labels |
| Multi-Label Speech Emotion Recognition | via | Inter-Class Difference Loss Under Response Residual Network |
| Multi-label video classification | via | coupling attentional multiple instance learning with label relation graph |
| Multi-label X-ray Imagery Classification | via | Bottom-up Attention and Meta Fusion |
| Multi-layer graph constraints for interactive image segmentation | via | game theory |
| Multi-level action detection | via | learning latent structure |
| Multi-level pixel-based texture classification through efficient prototype selection | via | normalized cut |
| Multi-level scene understanding | via | hierarchical classification |
| Multi-modal brain tumor segmentation | via | disentangled representation learning and region-aware contrastive learning |
| Multi-modal Gait Recognition | via | Effective Spatial-Temporal Feature Fusion |
| Multi-Modal Image Fusion | via | Deep Laplacian Pyramid Hybrid Network |
| Multi-Modal Imaging Genetics Data Fusion | via | a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study |
| Multi-Modal Learning with Missing Modality | via | Shared-Specific Feature Modelling |
| Multi-modal Mean-Fields | via | Cardinality-Based Clamping |
| Multi-modal object detection | via | transformer network |
| Multi-modal visual concept classification of images | via | Markov random walk over tags |
| multi-modal, multi-atlas-based approach for Alzheimer detection | via | machine learning, A |
| Multi-Motion Segmentation | via | Co-Attention-Induced Heterogeneous Model Fitting |
| Multi-Object Manipulation | via | Object-Centric Neural Scattering Functions |
| Multi-Object Tracking and Segmentation | via | Neural Message Passing |
| Multi-object Tracking | via | Constrained Sequential Labeling |
| Multi-object tracking | via | discriminative appearance modeling |
| Multi-Object Tracking | via | Species Based Particle Swarm Optimization |
| Multi-objective Detector and Tracker Parameter Optimization | via | NSGA-II |
| Multi-Objective Home Health Care Routing and Scheduling With Sharing Service | via | a Problem-Specific Knowledge-Based Artificial Bee Colony Algorithm |
| Multi-observation visual recognition | via | joint dynamic sparse representation |
| Multi-oriented Scene Text Detection | via | Corner Localization and Region Segmentation |
| Multi-Person 3D Pose and Shape Estimation | via | Inverse Kinematics and Refinement |
| Multi-Person Pose Estimation | via | Multi-Layer Fractal Network and Joints Kinship Pattern |
| multi-phase sparse probability framework | via | entropy minimization for single sample face recognition, A |
| Multi-planar 3D knee MRI segmentation | via | UNet inspired architectures |
| Multi-pose face hallucination | via | neighbor embedding for facial components |
| Multi-region competitive tractography | via | graph-based random walks |
| Multi-resolution compressed sensing reconstruction | via | approximate message passing |
| Multi-resolution Shape Analysis | via | Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems |
| Multi-Resolution Weed Classification | via | Convolutional Neural Network and Superpixel Based Local Binary Pattern Using Remote Sensing Images |
| Multi-Robot Active Mapping | via | Neural Bipartite Graph Matching |
| Multi-robot adversarial patrolling strategies | via | lattice paths |
| Multi-Saliency Detection | via | Instance Specific Element Homology |
| Multi-scale 3D representation | via | volumetric quasi-random scale space |
| Multi-scale context for scene labeling | via | flexible segmentation graph |
| Multi-Scale Deep Residual Learning-Based Single Image Haze Removal | via | Image Decomposition |
| Multi-Scale Frequency Reconstruction for Guided Depth Map Super-Resolution | via | Deep Residual Network |
| Multi-scale saliency detection | via | inter-regional shortest colour path |
| Multi-Scale Selective Image Texture Smoothing | via | Intuitive Single Clicks |
| Multi-scale ship tracking | via | random projections |
| Multi-scale Topo-morphometric Opening of Arteries and Veins: An Evaluative Study | via | Pulmonary CT Imaging |
| Multi-scanner Harmonization of Paired Neuroimaging Data | via | Structure Preserving Embedding Learning |
| Multi-shot Pedestrian Re-identification | via | Sequential Decision Making |
| Multi-shot person re-identification | via | relational Stein divergence |
| Multi-shot SURF-based person re-identification | via | sparse representation |
| Multi-Site Harmonization of Diffusion MRI Data | via | Method of Moments |
| Multi-Source Style Transfer | via | Style Disentanglement Network |
| Multi-Source T-S Target Recognition | via | an Intuitionistic Fuzzy Method |
| Multi-Source Unsupervised Domain Adaptation | via | Pseudo Target Domain |
| Multi-Stream Network for Mesh Denoising | via | Graph Neural Networks with Gaussian Curvature, A |
| Multi-structure model selection | via | kernel optimisation |
| Multi-target Knowledge Distillation | via | Student Self-reflection |
| Multi-Target Regression | via | Robust Low-Rank Learning |
| Multi-target Tracking and Segmentation | via | Discriminative Appearance Model |
| Multi-target tracking in team-sports videos | via | multi-level context-conditioned latent behaviour models |
| Multi-Target Tracking on Riemannian Manifolds | via | Probabilistic Data Association |
| Multi-task based object tracking | via | a collaborative model |
| Multi-task clustering | via | domain adaptation |
| Multi-task co-clustering | via | nonnegative matrix factorization |
| Multi-task image classification | via | collaborative, hierarchical spike-and-slab priors |
| Multi-task image set classification | via | joint representation with class-level sparsity and intra-task low-rankness |
| multi-task learning strategy for unsupervised clustering | via | explicitly separating the commonality, A |
| Multi-task Learning | via | Non-sparse Multiple Kernel Learning |
| Multi-Task Learning | via | Scale Aware Feature Pyramid Networks and Effective Joint Head |
| Multi-Task Self-Supervised Object Detection | via | Recycling of Bounding Box Annotations |
| Multi-task semi-supervised crowd counting | via | global to local self-correction |
| Multi-Task Siamese Network for Retinal Artery/Vein Separation | via | Deep Convolution Along Vessel |
| Multi-tasking to Correct: Motion-Compensated MRI | via | Joint Reconstruction and Registration |
| Multi-Tissue Decomposition of Diffusion MRI Signals | via | L_0 Sparse-Group Estimation |
| Multi-Turn Video Question Answering | via | Hierarchical Attention Context Reinforced Networks |
| Multi-Turn Video Question Generation | via | Reinforced Multi-Choice Attention Network |
| Multi-View 3D Shape Recognition | via | Correspondence-Aware Deep Learning |
| Multi-View Azimuth Stereo | via | Tangent Space Consistency |
| Multi-view clustering | via | efficient representation learning with anchors |
| Multi-view clustering | via | joint feature selection and partially constrained cluster label learning |
| Multi-view clustering | via | pseudo-label guide learning and latent graph structure recovery |
| Multi-View Clustering | via | Triplex Information Maximization |
| Multi-View Data Fusion Oriented Clustering | via | Nuclear Norm Minimization |
| Multi-view descriptor mining | via | codeword net for action recognition |
| Multi-view face recognition | via | joint dynamic sparse representation |
| 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 hand gesture recognition | via | pareto optimal front |
| Multi-View Learning a Decomposable Affinity Matrix | via | Tensor Self-Representation on Grassmann Manifold |
| Multi-View Motion Synthesis | via | Applying Rotated Dual-Pixel Blur Kernels |
| Multi-view multi-class object detection | via | exemplar compounding |
| Multi-View Object Retrieval | via | Multi-Scale Topic Models |
| Multi-view People Tracking | via | Hierarchical Trajectory Composition |
| Multi-view Spectral Clustering | via | Integrating Label and Data Graph Learning |
| Multi-view stereo ranging | via | Distributed Ray Tracing |
| Multi-View Stereo | via | Graph Cuts on the Dual of an Adaptive Tetrahedral Mesh |
| Multi-View Stereo | via | Volumetric Graph-Cuts |
| Multi-View Subspace Clustering | via | Simultaneously Learning the Representation Tensor and Affinity Matrix |
| Multi-view subspace learning | via | bidirectional sparsity |
| Multi-View Supervision for Single-View Reconstruction | via | Differentiable Ray Consistency |
| Multi-View Surveillance Video Summarization | via | Joint Embedding and Sparse Optimization |
| Multi-view Video Coding | via | Dense Depth Estimation |
| Multi-View Video Synopsis | via | Simultaneous Object-Shifting and View-Switching Optimization |
| Multi-weather Image Restoration | via | Domain Translation |
| Multibody Grouping | via | Orthogonal Subspace Decomposition |
| MultiBodySync: Multi-Body Segmentation and Motion Estimation | via | 3D Scan Synchronization |
| Multichannel SAR Interferometry | via | Classical and Bayesian Estimation Techniques |
| Multidirectional and Multiscale Edge-detection | via | M-Band Wavelet Transform |
| Multidisciplinary Information System of Assyrian Cuneiform Tablets Enhancing New Research Possibilities | via | Heterogeneous Data in Records |
| Multifeature Hyperspectral Image Classification With Local and Nonlocal Spatial Information | via | Markov Random Field in Semantic Space |
| Multifocus Image Fusion | via | Region Reconstruction |
| Multifractal Anomaly Detection in Images | via | Space-Scale Surrogates |
| Multiframe blind deconvolution, super-resolution, and saturation correction | via | incremental EM |
| Multiframe Motion Segmentation | via | Penalized Map Estimation and Linear Programming |
| Multigrid Narrow Band Surface Reconstruction | via | Level Set Functions |
| Multilabel Image Classification | via | Feature/Label Co-Projection |
| Multilabel Image Classification | via | High-Order Label Correlation Driven Active Learning |
| Multilane freeway merging control | via | trajectory optimization in a mixed traffic environment |
| Multilayer Soil Moisture Mapping at a Regional Scale from Multisource Data | via | a Machine Learning Method |
| Multilinear projection for face recognition | via | canonical decomposition |
| MultiLink: Multi-class Structure Recovery | via | Agglomerative Clustering and Model Selection |
| Multimedia annotation | via | semi-supervised shared-subspace feature selection |
| Multimedia Data Hiding and Authentication | via | Halftoning and Coordinate Projection |
| Multimedia Monitoring System of Obstructive Sleep Apnea | via | a Deep Active Learning Model |
| Multimedia Retrieval | via | Deep Learning to Rank |
| Multimodal 3D tracking and Event Detection | via | the Particle Filter |
| Multimodal Deep Embedding | via | Hierarchical Grounded Compositional Semantics |
| Multimodal face aging framework | via | learning disentangled representation |
| Multimodal Face Spoofing Detection | via | RGB-D Images |
| Multimodal Feature Fusion and Knowledge-Driven Learning | via | Experts Consult for Thyroid Nodule Classification |
| Multimodal fusion | via | a series of transfers for noise removal |
| Multimodal Ground-Based Remote Sensing Cloud Classification | via | Learning Heterogeneous Deep Features |
| Multimodal image fusion | via | sparse representation with local patch dictionaries |
| Multimodal Industrial Anomaly Detection | via | Hybrid Fusion |
| Multimodal Learning for Human Action Recognition | via | Bimodal/Multimodal Hybrid Centroid Canonical Correlation Analysis |
| Multimodal MR Synthesis | via | Modality-Invariant Latent Representation |
| Multimodal Object Detection | via | Probabilistic Ensembling |
| Multimodal Registration | via | Mutual Information Incorporating Geometric and Spatial Context |
| Multimodal Shape Completion | via | Conditional Generative Adversarial Networks |
| Multimodal Shape Completion | via | Implicit Maximum Likelihood Estimation |
| Multimodal Style Transfer | via | Graph Cuts |
| Multimodal Video Concept Detection | via | Bag of Auditory Words and Multiple Kernel Learning |
| Multipath Exploitation in Through-Wall Radar Imaging | via | Point Spread Functions |
| Multipath Time-Delay Estimation With Impulsive Noise | via | Bayesian Compressive Sensing |
| Multipe/Single-View Human Action Recognition | via | Part-Induced Multitask Structural Learning |
| Multiphase image segmentation | via | equally distanced multiple well potential |
| Multiple Adverse Weather Conditions Adaptation for Object Detection | via | Causal Intervention |
| Multiple copy image denoising | via | wavelet thresholding |
| Multiple Degradation and Reconstruction Network for Single Image Denoising | via | Knowledge Distillation |
| Multiple Feature Fusion | via | Weighted Entropy for Visual Tracking |
| Multiple features learning | via | rotation strategy |
| Multiple Illuminant Color Estimation | via | Statistical Inference on Factor Graphs |
| Multiple instance learning for soft bags | via | top instances |
| Multiple instance learning | via | distance metric optimization |
| Multiple Instance Learning | via | Iterative Self-Paced Supervised Contrastive Learning |
| Multiple instance subspace learning | via | partial random projection tree for local reflection symmetry in natural images |
| Multiple Lane Detection | via | Combining Complementary Structural Constraints |
| Multiple Norms and Boundary Constraint Enforced Image Deblurring | via | Efficient MCMC Algorithm |
| Multiple Object Tracking | via | Multi-layer Multi-modal Framework |
| Multiple Object Tracking | via | Prediction and Filtering with a Sobolev-Type Metric on Curves |
| Multiple Object Tracking | via | Species-Based Particle Swarm Optimization |
| Multiple Objects Tracking | via | Topology Adaptive Active Membrane |
| Multiple Reflection Symmetry Detection | via | Linear-Directional Kernel Density Estimation |
| Multiple rotation symmetry group detection | via | saliency-based visual attention and Frieze expansion pattern |
| Multiple Speaker Tracking in Spatial Audio | via | PHD Filtering and Depth-Audio Fusion |
| Multiple Structure Recovery | via | Probabilistic Biclustering |
| Multiple structure recovery | via | robust preference analysis |
| Multiple Style Transfer | via | Variational Autoencoder |
| Multiple Video Frame Interpolation | via | Enhanced Deformable Separable Convolution |
| Multiple View Feature Descriptors from Image Sequences | via | Kernel Principal Component Analysis |
| Multiple-input ghost imaging | via | sparsity constraints |
| Multiple-Shot Person Re-identification | via | Riemannian Discriminative Learning |
| Multiplicative Noise Cleaning | via | a Variational Method Involving Curvelet Coefficients |
| Multiplicative Noise Removal | via | a Learned Dictionary |
| Multiplicative Noise Removal | via | a Novel Variational Model |
| Multiplicative Noise Removal | via | Nonlocal Similarity-Based Sparse Representation |
| Multiresolution model development for overlapping trees | via | canonical correlation analysis |
| Multiresolution Motion Planning for Autonomous Agents | via | Wavelet-Based Cell Decompositions |
| Multiscale Attentive Image De-Raining Networks | via | Neural Architecture Search |
| multiscale competitive code | via | sparse representation for palmprint verification, The |
| Multiscale Dictionary Learning | via | Cross-Scale Cooperative Learning and Atom Clustering for Visual Signal Processing |
| Multiscale edge detection | via | normal changes |
| Multiscale Edge-Detection on Range Images | via | Normal Changes |
| Multiscale Nonrigid Point Cloud Registration Using Rotation-Invariant Sliced-Wasserstein Distance | via | Laplace-Beltrami Eigenmap |
| Multiscale Segmentation | via | Bregman Distances and Nonlinear Spectral Analysis |
| Multisensor Image Registration | via | Implicit Similarity |
| Multisource Geospatial Data Fusion | via | Local Joint Sparse Representation |
| Multispectral human co-segmentation | via | joint convolutional neural networks |
| Multispectral Image Denoising | via | Nonlocal Multitask Sparse Learning |
| Multispectral Image Intrinsic Decomposition | via | Subspace Constraint |
| Multispectral Image Restoration | via | Inter- and Intra-Block Sparse Estimation Based on Physically-Induced Joint Spatiospectral Structures |
| Multispectral Image Super-Resolution | via | RGB Image Fusion and Radiometric Calibration |
| Multispectral Joint Image Restoration | via | Optimizing a Scale Map |
| Multispectral Satellite Image Denoising | via | Adaptive Cuckoo Search-Based Wiener Filter |
| Multisubject Task-Related fMRI Data Processing | via | a Two-Stage Generalized Canonical Correlation Analysis |
| Multisurface Proximal Support Vector Machine Classification | via | Generalized Eigenvalues |
| Multitask Identity-Aware Image Steganography | via | Minimax Optimization |
| Multitask Image Clustering | via | Deep Information Bottleneck |
| Multitask learning | via | pseudo-label generation and ensemble prediction for parasitic egg cell detection: IEEE ICIP Challenge 2022 |
| Multivariate Regression | via | Stiefel Manifold Constraints |
| Multivehicle Flocking With Collision Avoidance | via | Distributed Model Predictive Control |
| Multiview 2D/3D Rigid Registration | via | a Point-Of-Interest Network for Tracking and Triangulation |
| Multiview Clustering of Images with Tensor Rank Minimization | via | Nonconvex Approach |
| Multiview Clustering | via | Hypergraph Induced Semi-Supervised Symmetric Nonnegative Matrix Factorization |
| Multiview Facial Landmark Localization in RGB-D Images | via | Hierarchical Regression With Binary Patterns |
| Multiview pedestrian localisation | via | a prime candidate chart based on occupancy likelihoods |
| Multiview registration | via | graph diffusion of dual quaternions |
| Multiview Stereo and Silhouette Consistency | via | Convex Functionals over Convex Domains |
| Multiview stereo and silhouette fusion | via | minimizing generalized reprojection error |
| Multiview Stereo | via | Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency |
| Multiway Non-Rigid Point Cloud Registration | via | Learned Functional Map Synchronization |
| MUSCLE: Strengthening Semi-Supervised Learning | via | Concurrent Unsupervised Learning Using Mutual Information Maximization |
| Music classification | via | the bag-of-features approach |
| MUSIC-CSR: Hyperspectral Unmixing | via | Multiple Signal Classification and Collaborative Sparse Regression |
| MUTR3D: A Multi-camera Tracking Framework | via | 3D-to-2D Queries |
| Mutual Learning Between Saliency and Similarity: Image Cosegmentation | via | Tree Structured Sparsity and Tree Graph Matching |
| Mutual Learning of Complementary Networks | via | Residual Correction for Improving Semi-Supervised Classification |
| Mutually Supervised Learning | via | Interactive Consistency for Geographic Object Segmentation from Weakly Labeled Remote Sensing Imagery |
| MutualNet: Adaptive ConvNet | via | Mutual Learning From Different Model Configurations |
| MutualNet: Adaptive Convnet | via | Mutual Learning from Network Width and Resolution |
| MVFRnet: A Novel High-Accuracy Network for ISAR Air-Target Recognition | via | Multi-View Fusion |
| MVS2D: Efficient Multiview Stereo | via | Attention-Driven 2D Convolutions |
| N2D: (Not Too) Deep Clustering | via | Clustering the Local Manifold of an Autoencoded Embedding |
| NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection | via | Convolutional Neural Networks |
| Name Your Colour For the Task: Artificially Discover Colour Naming | via | Colour Quantisation Transformer |
| Narrator: Towards Natural Control of Human-Scene Interaction Generation | via | Relationship Reasoning |
| Narrowband RFI Suppression for SAR System | via | Efficient Parameter-Free Decomposition Algorithm |
| Narrowband RFI Suppression for SAR System | via | Fast Implementation of Joint Sparsity and Low-Rank Property |
| Natural and Adversarial Bokeh Rendering | via | Circle-of-Confusion Predictive Network |
| Natural image illuminant estimation | via | deep non-negative matrix factorisation |
| Natural image matting | via | adaptive local and nonlocal sample clustering |
| NCSiam: Reliable Matching | via | Neighborhood Consensus for Siamese-Based Object Tracking |
| Near real time enhancement of geospatial imagery | via | systolic implementation of neural network-adapted convex regularization techniques |
| Near-Field Source Localization | via | Symmetric Subarrays |
| Near-Infrared Coloring | via | a Contrast-Preserving Mapping Model |
| Near-Infrared Fusion | via | Color Regularization for Haze and Color Distortion Removals |
| Near-Online Multi-Pedestrian Tracking | via | Combining Multiple Consistent Appearance Cues |
| Near-Optimal Tracking Control of Mobile Robots | via | Receding-Horizon Dual Heuristic Programming |
| Neighbourhood Watch: Referring Expression Comprehension | via | Language-Guided Graph Attention Networks |
| NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics | via | Novel-View Synthesis |
| NeRFVS: Neural Radiance Fields for Free View Synthesis | via | Geometry Scaffolds |
| NestedVAE: Isolating Common Factors | via | Weak Supervision |
| Network Architecture for Point Cloud Classification | via | Automatic Depth Images Generation, A |
| Network Binarization | via | Contrastive Learning |
| Network Connectivity | via | Inference over Curvature-Regularizing Line Graphs |
| Network Pruning | via | Feature Shift Minimization |
| Network Pruning | via | Performance Maximization |
| Network pruning | via | resource reallocation |
| Network Specialization | via | Feature-level Knowledge Distillation |
| Network-based stabilization of time-delay systems with actuator saturation | via | anti-windup design |
| Network-Coding-Assisted Data Dissemination | via | Cooperative Vehicle-to-Vehicle/-Infrastructure Communications |
| Neural Architecture Search | via | Proxy Validation |
| Neural architecture search | via | reference point based multi-objective evolutionary algorithm |
| Neural Collage Transfer: Artistic Reconstruction | via | Material Manipulation |
| Neural Image Compression | via | Attentional Multi-scale Back Projection and Frequency Decomposition |
| Neural network acceleration methods | via | selective activation |
| Neural Network Compression | via | Low Frequency Preference |
| Neural Network Decision-Making Criteria Consistency Analysis | via | Inputs Sensitivity |
| Neural Point Cloud Rendering | via | Multi-Plane Projection |
| Neural Style Transfer | via | Meta Networks |
| Neural TMDlayer: Modeling Instantaneous flow of features | via | SDE Generators |
| Neural Video Portrait Relighting in Real-time | via | Consistency Modeling |
| NeuralEditor: Editing Neural Radiance Fields | via | Manipulating Point Clouds |
| Neuronal Population Reconstruction From Ultra-Scale Optical Microscopy Images | via | Progressive Learning |
| NeuSpike-Net: High Speed Video Reconstruction | via | Bio-inspired Neuromorphic Cameras |
| New Algorithm for Image Segmentation | via | Watershed Transformation, A |
| new algorithm for static camera foreground segmentation | via | active coutours and GMM, A |
| new computation of shape moments | via | quadtree decomposition, A |
| New Data Transfer Method | via | Signal-Rich-Art Code Images Captured by Mobile Devices, A |
| New Efficient Regression Method for Local AADT Estimation | via | SCAD Variable Selection |
| New Emergency Medicine Paradigm | via | Augmented Telemedicine |
| New family of lapped biorthogonal transform | via | lifting steps |
| New Framework for Approximate Labeling | via | Graph Cuts, A |
| New framework for unsupervised universal steganalysis | via | SRISP-aided outlier detection |
| New Graph Constructor for Semi-supervised Discriminant Analysis | via | Group Sparsity, A |
| new image deblurring algorithm with less ringing artifacts | via | error variance estimation and soft decision, A |
| New Image Steganography | via | Secret-Fragment-Visible Mosaic Images by Nearly-Reversible Color Transformation |
| New Method of Image Encryption/Decryption | via | Voice Features, A |
| New motion compensation model | via | frequency classification for fast video super-resolution |
| new nonlocal variational bi-regularized image restoration model | via | split Bregman method, A |
| New Possibilities in Image Diffusion and Sharpening | via | High-Order Sobolev Gradient Flows |
| New results on robust filtering design for continuous-time nonlinear systems | via | T-S fuzzy affine dynamic models |
| New SAR Interferogram denoising method | via | sparse recovery based on L0 norm |
| New Secure Image Transmission Technique | via | Secret-Fragment-Visible Mosaic Images by Nearly Reversible Color Transformations, A |
| New Sufficient Condition for Non-Convex Sparse Recovery | via | Weighted L_r-L_1 Minimization, A |
| New Textural Indicators for Assessing Above-Ground Cotton Biomass Extracted from Optical Imagery Obtained | via | Unmanned Aerial Vehicle |
| new underwater image enhancing method | via | color correction and illumination adjustment, A |
| New Vision Approach for Local Spectrum Features in Cervical Images | via | 2D Method of Geometric Restriction in Frequency Domain, A |
| New Wavelet-Based Edge Detector | via | Constrained Optimization, A |
| NewtonianVAE: Proportional Control and Goal Identification from Pixels | via | Physical Latent Spaces |
| NeXT: Towards High Quality Neural Radiance Fields | via | Multi-skip Transformer |
| NIFF: Alle | via | ting Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging |
| Nightlight as a Proxy of Economic Indicators: Fine-Grained GDP Inference Around Mainland China | via | Attention-Augmented CNN from Daytime Satellite Imagery |
| NinjaDesc: Content-Concealing Visual Descriptors | via | Adversarial Learning |
| NIR-assisted Video Enhancement | via | Unpaired 24-hour Data |
| NIR-VIS heterogeneous face recognition | via | cross-spectral joint dictionary learning and reconstruction |
| NMR signal enhancement | via | a new time-frequency transform |
| nnFormer: Volumetric Medical Image Segmentation | via | a 3D Transformer |
| No reference image quality assessment metric | via | multi-domain structural information and piecewise regression |
| No-reference Blur Assessment of Dermatological Images Acquired | via | Mobile Devices |
| No-Reference Hyperspectral Image Quality Assessment | via | Quality-Sensitive Features Learning |
| No-reference image quality assessment | via | structural information fluctuation |
| No-Reference Image Quality Assessment | via | Transformers, Relative Ranking, and Self-Consistency |
| No-reference mesh visual quality assessment | via | ensemble of convolutional neural networks and compact multi-linear pooling |
| No-Reference Point Cloud Quality Assessment | via | Domain Adaptation |
| No-Reference Quality Assessment for Networked Video | via | Primary Analysis of Bit Stream |
| No-Reference Quality Assessment Method for Hyperspectral Sharpened Images | via | Benford's Law, A |
| No-Reference Quality Assessment of JPEG Images | via | a Quality Relevance Map |
| No-reference stereoscopic image quality assessment on both complex contourlet and spatial domain | via | Kernel ELM |
| no-reference underwater image quality evaluator | via | quality-aware features, A |
| No-reference video quality assessment | via | feature learning |
| No-reference video quality assessment | via | pretrained CNN and LSTM networks |
| Node Representation Learning in Graph | via | Node-to-Neighbourhood Mutual Information Maximization |
| Node-Sensitive Graph Fusion | via | Topo-Correlation for Image Retrieval |
| Noise Estimation of Natural Images | via | Statistical Analysis and Noise Injection |
| Noise reduction and edge detection | via | kernel anisotropic diffusion |
| Noise reduction for magnetic resonance images | via | adaptive multiscale products thresholding |
| Noise removal from MR images | via | iterative regularization based on higher-order singular value decomposition |
| Noise Removal | via | Bayesian Wavelet Coring |
| Noise Robust Face Hallucination | via | Locality-Constrained Representation |
| Noise-Aware Super-Resolution of Depth Maps | via | Graph-Based Plug-And-Play Framework |
| Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging | via | a Stochastically Fully-Connected Joint Conditional Random Field Model |
| Noise-Robust ISAR Translational Motion Compensation | via | HLPT-GSCFT |
| Noise-robust semi-supervised learning | via | fast sparse coding |
| Noise-Robust Texture Description Using Local Contrast Patterns | via | Global Measures |
| Noise-Sampling Cross Entropy Loss: Improving Disparity Regression | via | Cost Volume Aware Regularizer |
| Noising-Denoising Framework for Point Cloud Upsampling | via | Normalizing Flows, A |
| Noisy label facial expression recognition | via | face-specific label distribution learning |
| Noisy Remote Sensing Scene Classification | via | Progressive Learning Based on Multiscale Information Exploration |
| Noisy Softmax: Improving the Generalization Ability of DCNN | via | Postponing the Early Softmax Saturation |
| Non rigid registration of shapes | via | diffeomorphic point matching and clustering |
| Non-Aligned Multi-View Multi-Label Classification | via | Learning View-Specific Labels |
| Non-Cartesian MRI Reconstruction With Automatic Regularization | via | Monte-Carlo SURE |
| Non-Coherent DOA Estimation | via | Majorization-Minimization Using Sign Information |
| Non-Common Band SAR Interferometry | via | Compressive Sensing |
| Non-concept density estimation | via | kernel regression for concept ranking in weakly labelled data |
| Non-Contact Heart Rate Estimation | via | Adaptive RGB/NIR Signal Fusion |
| Non-contact Heart Rate Monitoring by Combining Convolutional Neural Network Skin Detection and Remote Photoplethysmography | via | a Low-Cost Camera |
| Non-convex online robust PCA: Enhance sparsity | via | lp-norm minimization |
| Non-dictionary Aided Sparse Unmixing of Hyperspectral Images | via | Weighted Nonnegative Matrix Factorization |
| Non-generative Generalized Zero-shot Learning | via | Task-correlated Disentanglement and Controllable Samples Synthesis |
| Non-Graph Data Clustering | via | O(n) Bipartite Graph Convolution |
| Non-Homogeneous Haze Removal | via | Artificial Scene Prior and Bidimensional Graph Reasoning |
| Non-line-of-Sight Imaging | via | Neural Transient Fields |
| Non-negative matrix factorization | via | discriminative label embedding for pattern classification |
| Non-parametric Source Reconstruction | via | Kernel Temporal Enhancement for EEG Data |
| Non-Parametric Tomographic SAR Reconstruction | via | Improved Regularized MUSIC |
| Non-rigid 3D Shape Retrieval | via | Large Margin Nearest Neighbor Embedding |
| Non-Rigid Object Contour Tracking | via | a Novel Supervised Level Set Model |
| Non-rigid object tracking | via | deep multi-scale spatial-temporal discriminative saliency maps |
| Non-rigid Object Tracking | via | Deformable Patches Using Shape-Preserved KCF and Level Sets |
| NON-rigid structure from motion | via | sparse self-expressive representation |
| Non-rigid visible and infrared face registration | via | regularized Gaussian fields criterion |
| Non-Separable Two-Dimensional Hadamard Transform | via | a Discrete Hadamard Slice Theorem |
| Non-Uniform Illumination Underwater Image Enhancement | via | Minimum Weighted Error Entropy Loss |
| Non-Uniform Illumination Underwater Image Restoration | via | Illumination Channel Sparsity Prior |
| Non-uniform low-light image enhancement | via | non-local similarity decomposition model |
| Non-uniform patch based face recognition | via | 2D-DWT |
| Nonblind Image Deconvolution | via | Leveraging Model Uncertainty in An Untrained Deep Neural Network |
| Nonconvex clustering | via | L0 fusion penalized regression |
| Nonconvex Nonsmooth Low Rank Minimization | via | Iteratively Reweighted Nuclear Norm |
| Nonlinear Dimensionality Reduction | via | Path-Based Isometric Mapping |
| Nonlinear Eye Gaze Mapping Function Estimation | via | Support Vector Regression |
| Nonlinear Method for Imaging with Acoustic Waves | via | Reduced Order Model Backprojection, A |
| Nonlinear multiresolution image analysis | via | convex projections |
| Nonlinear Regression Application | via | Machine Learning Techniques for Geomagnetic Data Reconstruction Processing, A |
| Nonlinear Regression | via | Deep Negative Correlation Learning |
| Nonlinear regression | via | incremental decision trees |
| Nonlinear Shape Statistics | via | Kernel Spaces |
| Nonlinear Spectral Analysis | via | One-Homogeneous Functionals: Overview and Future Prospects |
| Nonlinear Spectral Processing of Shapes | via | Zero-homogeneous Flows |
| Nonlinear supervised dimensionality reduction | via | smooth regular embeddings |
| Nonlinear Unmixing | via | Deep Autoencoder Networks for Generalized Bilinear Model |
| Nonlinear wavelet transforms for image coding | via | lifting |
| Nonlocal image denoising | via | collaborative spatial-domain LMMSE estimation |
| NonLocal | via | Local-NonLinear via Linear: A New Part-coding Distance Field via Screened Poisson Equation |
| NonLocal | via | Local-NonLinear via Linear: A New Part-coding Distance Field via Screened Poisson Equation |
| NonLocal | via | Local-NonLinear via Linear: A New Part-coding Distance Field via Screened Poisson Equation |
| Nonnegative Low-Rank Tensor Completion | via | Dual Formulation with Applications to Image and Video Completion |
| Nonparametric Illumination Correction for Scanned Document Images | via | Convex Hulls |
| Nonparametric Learning | via | Successive Subspace Modeling (SSM) |
| Nonparametric Scene Parsing | via | Label Transfer |
| Nonparametric scene parsing: Label transfer | via | dense scene alignment |
| Nonrigid Registration of Remote Sensing Images | via | Sparse and Dense Feature Matching |
| Nonrigid Structure From Motion | via | Sparse Representation |
| Nonstationary Background Removal | via | Multiple Camera Collaboration |
| Nonuniform Sampling Control for Multibody High-Speed Train Systems With Quantization Mechanisms | via | Stochastic Faded Channels |
| Nonuniform-to-Uniform Quantization: Towards Accurate Quantization | via | Generalized Straight-Through Estimation |
| Normal Integration | via | Inverse Plane Fitting with Minimum Point-to-Plane Distance |
| NormalNet: Learning-Based Mesh Normal Denoising | via | Local Partition Normalization |
| Not Afraid of the Dark: NIR-VIS Face Recognition | via | Cross-Spectral Hallucination and Low-Rank Embedding |
| Not All Areas Are Equal: Transfer Learning for Semantic Segmentation | via | Hierarchical Region Selection |
| Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation | via | Deep Layer Cascade |
| Not All Tokens Are Equal: Human-centric Visual Analysis | via | Token Clustering Transformer |
| Not just Compete, but Collaborate: Local Image-to-Image Translation | via | Cooperative Mask Prediction |
| Not Just Selection, but Exploration: Online Class-Incremental Continual Learning | via | Dual View Consistency |
| Note on Building Skeleton Models | via | 3-D Medial Surface Axis Thinning Algorithms, A |
| Note on Finding Convex Hulls | via | Maximal Vectors, A |
| Note on Topology-Transparent Scheduling | via | the Chinese Remainder Theorem, A |
| Notice of Retraction: E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction | via | Neural Stochastic Differential Equations |
| Novel Approach for Predicting Large Wildfires Using Machine Learning towards Environmental Justice | via | Environmental Remote Sensing and Atmospheric Reanalysis Data across the United States, A |
| novel biometric | via | hand structure using near-field microwave imaging, A |
| Novel Building Extraction Network | via | Multi-Scale Foreground Modeling and Gated Boundary Refinement, A |
| Novel Classification Method of Halftone Image | via | Statistics Matrices, A |
| Novel CNN-Based Method for Accurate Ship Detection in HR Optical Remote Sensing Images | via | Rotated Bounding Box, A |
| Novel Dual-Encoder Model for Hyperspectral and LiDAR Joint Classification | via | Contrastive Learning, A |
| Novel Fast Full Frame Video Stabilization | via | Three-Layer Model, A |
| Novel Four-Stage Method for Vegetation Height Estimation with Repeat-Pass PolInSAR Data | via | Temporal Decorrelation Adaptive Estimation and Distance Transformation, A |
| novel framework for multi-class classification | via | ternary smooth support vector machine, A |
| Novel Gait Recognition Method | via | Fusing Shape and Kinematics Features, A |
| novel hashing scheme | via | image feature map and 2D PCA, A |
| novel haze image steganography method | via | cover-source switching, A |
| Novel Human Action Representation | via | Convolution of Shape-Motion Histograms, A |
| Novel Human Detection Approach Based on Depth Map | via | Kinect, A |
| Novel Hydrocarbon Detection Approach | via | High-Resolution Frequency-Dependent AVO Inversion Based on Variational Mode Decomposition, A |
| Novel Image Representation | via | Local Frequency Analysis for Illumination Invariant Stereo Matching, A |
| Novel intra prediction | via | position-dependent filtering |
| Novel Iterative Shrinkage Algorithm for CS-MRI | via | Adaptive Regularization, A |
| Novel Method for Refocusing Moving Ships in SAR Images | via | ISAR Technique, A |
| novel method for salient object detection | via | compactness measurement, A |
| Novel multi-feature Bag-of-Words descriptor | via | subspace random projection for efficient human-action recognition |
| Novel Perceptual Image Hashing Method | via | Geometric Features and Distance Invariant, A |
| Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures | via | Semantic Feature Expansion, A |
| Novel Radar Signals Sorting Method | via | Residual Graph Convolutional Network, A |
| Novel Relational-Based Transductive Transfer Learning Method for PolSAR Images | via | Time-Series Clustering, A |
| Novel Similarity Assessment For Remote Sensing Images | via | Fast Association Rule Mining, A |
| Novel Speech Emotion Recognition Method | via | Incomplete Sparse Least Square Regression, A |
| Novel superpixel-based algorithm for segmenting lung images | via | convolutional neural network and random forest |
| Novel Tensor-Based Video Rain Streaks Removal Approach | via | Utilizing Discriminatively Intrinsic Priors, A |
| Novel Unmixing-Based Hypersharpening Method | via | Convolutional Neural Network, A |
| Novel Video Salient Object Detection Method | via | Semisupervised Motion Quality Perception, A |
| Novel View Synthesis | via | Depth-guided Skip Connections |
| Novel visual tracking approach | via | ant lion optimiser |
| Nowcasting Surface Solar Irradiance with AMESIS | via | Motion Vector Fields of MSG-SEVIRI Data |
| Nowhere to Disguise: Spot Camouflaged Objects | via | Saliency Attribute Transfer |
| Numerical Recovery of Source Singularities | via | the Radiative Transfer Equation with Partial Data |
| Numerically robust minimal-scan reconstruction algorithms for diffraction tomography | via | radon transform inversion |
| Object as Hotspots: An Anchor-free 3d Object Detection Approach | via | Firing of Hotspots |
| Object categorization | via | local kernels |
| Object categorization | via | sparse representation of local features |
| Object Category Understanding | via | Eye Fixations on Freehand Sketches |
| Object Co-detection | via | Efficient Inference in a Fully-Connected CRF |
| Object co-detection | via | low-rank and sparse representation dictionary learning |
| Object Co-segmentation | via | Graph Optimized-Flexible Manifold Ranking |
| Object co-segmentation | via | weakly supervised data fusion |
| Object Counting in Remote Sensing | via | Triple Attention and Scale-Aware Network |
| Object Decomposition | via | Curvilinear Skeleton Partition |
| Object Detection and Recognition | via | Deformable Illumination and Deformable Shape |
| Object Detection in Low-Resolution Image | via | Sparse Representation |
| Object Detection in Remote Sensing Images | via | Multi-Feature Pyramid Network with Receptive Field Block |
| Object Detection in UAV Images | via | Global Density Fused Convolutional Network |
| Object Detection in Video | via | Particle Filters |
| Object Detection | via | a Multi-region and Semantic Segmentation-Aware CNN Model |
| Object detection | via | boosted deformable features |
| Object detection | via | boundary structure segmentation |
| Object detection | via | feature fusion based single network |
| Object Detection | via | Feature Synthesis Using MDL-Based Genetic Programming |
| Object detection | via | foreground contour feature selection and part-based shape model |
| Object detection | via | inner-inter relational reasoning network |
| Object Detection | via | Structural Feature Selection and Shape Model |
| Object Discovery and Localization | via | Structural Contrast |
| Object Discovery | via | Cohesion Measurement |
| Object Discovery | via | Contrastive Learning for Weakly Supervised Object Detection |
| Object Grounding | via | Iterative Context Reasoning |
| Object Instance Search in Videos | via | Spatio-Temporal Trajectory Discovery |
| Object localisation | via | action recognition |
| Object Localization by Propagating Connectivity | via | Superfeatures |
| Object Manipulation | via | Visual Target Localization |
| Object Modelling in Videos | via | Multidimensional Features of Colours and Textures |
| Object models in multiscale intrinsic coordinates | via | m-reps |
| Object Recognition and Localization | via | Pose Clustering |
| Object Recognition and Localization | via | Spatial Instance Embedding |
| Object Recognition and Motion Estimation | via | Joint Segmentation and B-Spline Contour Matching |
| Object recognition | via | contextual color attention |
| Object recognition | via | recognition of finger pointing actions |
| Object Recognition with Naive Bayes-NN | via | Prototype Generation |
| Object tracking and detection after occlusion | via | numerical hybrid local and global mode-seeking |
| Object Tracking by Occlusion Detection | via | Structured Sparse Learning |
| Object Tracking in Unmanned Aerial Vehicle Videos | via | Multifeature Discrimination and Instance-Aware Attention Network |
| Object Tracking | via | 2DPCA and L_1 -Regularization |
| Object tracking | via | appearance modeling and sparse representation |
| Object Tracking | via | Dual Linear Structured SVM and Explicit Feature Map |
| Object Tracking | via | ImageNet Classification Scores |
| Object Tracking | via | Multi-region Covariance and Particle Swarm Optimization |
| Object Tracking | via | Multi-task Gaussian-Laplacian Regression |
| Object tracking | via | non-Euclidean geometry: A Grassmann approach |
| Object tracking | via | online metric learning |
| Object Tracking | via | Online Multiple Instance Learning with Reliable Components |
| Object Tracking | via | Partial Least Squares Analysis |
| Object Tracking | via | Pixel-Wise and Block-Wise Sparse Representation |
| Object Tracking | via | Robust Multitask Sparse Representation |
| Object Tracking | via | Spatial-Temporal Memory Network |
| Object Tracking | via | Temporal Consistency Dictionary Learning |
| Object Tracking | via | the Dynamic Velocity Hough Transform |
| Object Tracking | via | Uncertainty Minimization |
| Object trajectory clustering | via | tensor analysis |
| Object-Based Multipass InSAR | via | Robust Low-Rank Tensor Decomposition |
| Object-Based Multiple Foreground Video Co-Segmentation | via | Multi-State Selection Graph |
| Object-Based Visual 3D Tracking of Articulated Objects | via | Kinematic Sets |
| Object-Based Visual Saliency | via | Laplacian Regularized Kernel Regression |
| Object-Centric Video Prediction | via | Decoupling of Object Dynamics and Interactions |
| Object-Driven Text-To-Image Synthesis | via | Adversarial Training |
| Object-Goal Visual Navigation | via | Effective Exploration of Relations Among Historical Navigation States |
| Object-Location-Aware Hashing for Multi-Label Image Retrieval | via | Automatic Mask Learning |
| Object-Oriented Building Contour Optimization Methodology for Image Classification Results | via | Generalized Gradient Vector Flow Snake Model |
| Objective and Subjective Meal Registration | via | a Smartphone Application |
| Objective Class-Based Micro-Expression Recognition Under Partial Occlusion | via | Region-Inspired Relation Reasoning Network |
| Objectness-Aware Tracking | via | Double-Layer Model |
| Objformer: Boosting 3D object detection | via | instance-wise interaction |
| Observation quality guaranteed layout of camera networks | via | sparse representation |
| Observed Changes in Crop Yield Associated with Droughts Propagation | via | Natural and Human-Disturbed Agro-Ecological Zones of Pakistan |
| Obstacle Avoidance | via | Depth from Focus |
| Obtaining Base Edge Correspondence in Stereo Images | via | Quantitative Measures Along C-Diagonals |
| Occluded Gait Recognition | via | Silhouette Registration Guided by Automated Occlusion Degree Estimation |
| Occluded Pedestrian Detection | via | Distribution-Based Mutual-Supervised Feature Learning |
| Occlusion and Deformation Handling Visual Tracking for UAV | via | Attention-Based Mask Generative Network |
| Occlusion Aware Stereo Matching | via | Cooperative Unsupervised Learning |
| Occlusion Boundary Detection | via | Deep Exploration of Context |
| Occlusion Boundary: A Formal Definition & Its Detection | via | Deep Exploration of Context |
| Occlusion Handling in Video Segmentation | via | Predictive Feedback |
| Occlusion Handling | via | Random Subspace Classifiers for Human Detection |
| Occlusion-aware face inpainting | via | generative adversarial networks |
| Occlusion-Aware Instance Segmentation | via | BiLayer Network Architectures |
| Occlusion-Free Scene Recovery | via | Neural Radiance Fields |
| Occlusion-robust traffic sign detection | via | cascaded colour cubic feature |
| Occlusion-Robustness of Convolutional Neural Networks | via | Inverted Cutout |
| Occlusion-Sensitive Person Re-Identification | via | Attribute-Based Shift Attention |
| Ocean Response to Successive Typhoons Sarika and Haima (2016) Based on Data Acquired | via | Multiple Satellites and Moored Array |
| OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D | via | RF-Vision |
| Octree Creation | via | C.S.G. Definition |
| Ocular Disease Recognition | via | Differential Privacy and Unsupervised Domain Regularizer |
| Ocular multi-spectral imaging deblurring | via | regularization of mutual information |
| Odd: One-Class Anomaly Detection | via | The Diffusion Model |
| ODG-Q: Robust Quantization | via | Online Domain Generalization |
| Off-Grid DOA Estimation for Noncircular Signals | via | Block Sparse Representation Using Extended Transformed Nested Array |
| Off-Line Handwritten Chinese Character Recognition | via | Radical Extraction and Recognition |
| Offline handwriting image analysis to predict Alzheimer's disease | via | deep learning |
| Offline Map Matching | via | Integer Programming, An |
| Offset Calibration for Appearance-Based Gaze Estimation | via | Gaze Decomposition |
| Oil Spill Segmentation | via | Adversarial f-Divergence Learning |
| Oil Tank Detection and Recognition | via | Monogenic Signal |
| Oil Well Detection | via | Large-Scale and High-Resolution Remote Sensing Images Based on Improved YOLO v4 |
| Old Photo Restoration | via | Deep Latent Space Translation |
| Olfactory Classification | via | Interpoint Distance Analysis |
| Omni-supervised Point Cloud Segmentation | via | Gradual Receptive Field Component Reasoning |
| Omnidirectional Image Super-Resolution | via | Latitude Adaptive Network |
| OmniFusion: 360 Monocular Depth Estimation | via | Geometry-Aware Fusion |
| On analysis of bi-dimensional component decomposition | via | BEMD |
| On Authorship Attribution | via | Markov Chains and Sequence Kernels |
| On Benefits of Selection Diversity | via | Bilevel Exclusive Sparsity |
| On Binary Sequence Design | via | PSL Minimization |
| On Boosting Single-Frame 3D Human Pose Estimation | via | Monocular Videos |
| On Computing Greyscale Morphology with Large Exact Spheres in Arbitrary Dimensions | via | 1-D Distance Transforms |
| On Continuous User Authentication | via | Typing Behavior |
| On Detecting Domestic Abuse | via | Faces |
| On Detecting Subtle Pathology | via | Tissue Clustering of Multi-parametric Data using Affinity Propagation |
| On Distinctive Image Captioning | via | Comparing and Reweighting |
| On feature selection | via | rough sets |
| On high resolution positioning of straight patterns | via | multiscale matched filtering of the Hough transform |
| On Image Analysis | via | Orthogonal Moments |
| On line signature verification: fusion of a hidden markov model and a neural network | via | a support vector machine |
| On Optimizing Template Matching | via | Performance Characterization |
| On Performance Gains in MPEG-2 Video Coding | via | a Rate-Distortion Optimal Route |
| On Processing Binary Pictures | via | Their Projections |
| On Recognizing Actions in Still Images | via | Multiple Features |
| On required accuracy of mixed noise parameter estimation for image enhancement | via | denoising |
| On robust face recognition | via | sparse coding: The good, the bad and the ugly |
| On robust image spam filtering | via | comprehensive visual modeling |
| On Security Enhancement of Steganography | via | Generative Adversarial Image |
| On the Choice of the Most Suitable Period to Map Hill Lakes | via | Spectral Separability and Object-Based Image Analyses |
| On the Construction of CFAR Decision Rules | via | Transformations |
| On the Evolution of Curves | via | a Function of Curvature. I. The Classical Case |
| On the Impact of Using X-Ray Energy Response Imagery for Object Detection | via | Convolutional Neural Networks |
| On the Polarimetric Variable Improvement | via | Alignment of Subarray Channels in PPAR Using Weather Returns |
| On the Potential of Flaming Hotspot Detection at Night | via | Multiband Visible/Near-Infrared Imaging |
| On the Representation of Image Structures | via | Scale Space Entropy Conditions |
| On the Treatment of Optimization Problems With L1 Penalty Terms | via | Multiobjective Continuation |
| On Training Traffic Predictors | via | Broad Learning Structures: A Benchmark Study |
| On Transmission of a Continuous Signal | via | a Noiseless Binary Channel |
| On uncertainty principles for linear canonical transform of complex signals | via | operator methods |
| On-Device Scalable Image-Based Localization | via | Prioritized Cascade Search and Fast One-Many RANSAC |
| On-Line Handwriting Recognition of Chinese Characters | via | a Rule-Based Approach |
| On-Line Rigid Object Tracking | via | Discriminative Feature Classification |
| Once a MAN: Towards Multi-Target Attack | via | Learning Multi-Target Adversarial Network Once |
| One Shot Inverse Scattering | via | Rational Approximation |
| One Shot Learning | via | Compositions of Meaningful Patches |
| One-class anomaly detection | via | novelty normalization |
| One-Class Multiple Instance Learning | via | Robust PCA for Common Object Discovery |
| One-day outdoor photometric stereo | via | skylight estimation |
| One-Shot Face Recognition | via | Generative Learning |
| One-shot Face Recognition with Feature Rectification | via | Adversarial Learning |
| One-Shot HDR Imaging | via | Stereo PFA Cameras |
| One-Shot Image-to-Image Translation | via | Part-Global Learning With a Multi-Adversarial Framework |
| One-Shot Learning of Scene Locations | via | Feature Trajectory Transfer |
| One-Shot Neural Architecture Search | via | Self-Evaluated Template Network |
| One-Shot Super-Resolution | via | Backward Style Transfer for Fast High-Resolution Style Transfer |
| Online Action Recognition | via | Nonparametric Incremental Learning |
| Online and Batch Supervised Background Estimation | via | L1 Regression |
| Online Anomaly Detection in Crowd Scenes | via | Structure Analysis |
| Online Assessment of Driving Riskiness | via | Smartphone-Based Inertial Measurements |
| Online Class Incremental Learning on Stochastic Blurry Task Boundary | via | Mask and Visual Prompt Tuning |
| Online Continual Learning | via | Candidates Voting |
| Online Data Thinning | via | Multi-Subspace Tracking |
| Online detection of unusual events in videos | via | dynamic sparse coding |
| Online Fault Diagnosis of Motor Bearing | via | Stochastic-Resonance-Based Adaptive Filter in an Embedded System |
| Online Gaze Disparity | via | Bioncular Eye Tracking on Stereoscopic Displays |
| Online Handwritten Chinese Character-Recognition | via | A Fuzzy Attribute Representation |
| Online inspection of 3D parts | via | a locally overlapping camera network |
| Online Kernel Selection Wrapper | via | Multi-Armed Bandit Model, An |
| Online Knowledge Distillation | via | Collaborative Learning |
| Online Knowledge Distillation | via | Multi-branch Diversity Enhancement |
| Online Knowledge Distillation | via | Mutual Contrastive Learning for Visual Recognition |
| Online Learning Human Behavior for a Class of Human-in-the-Loop Systems | via | Adaptive Inverse Optimal Control |
| Online Low-Rank Metric Learning | via | Parallel Coordinate Descent Method |
| Online Metro Origin-Destination Prediction | via | Heterogeneous Information Aggregation |
| Online Multi-Object Tracking | via | Robust Collaborative Model and Sample Selection |
| Online Multi-object Tracking | via | Structural Constraint Event Aggregation |
| Online multi-person tracking | via | robust collaborative model |
| Online multiple object tracking | via | flow and convolutional features |
| Online object tracking | via | motion-guided convolutional neural network (MGNet) |
| Online Reranking | via | Ordinal Informative Concepts for Context Fusion in Concept Detection and Video Search |
| Online Residual Quantization | via | Streaming Data Correlation Preserving |
| Online RGB-D tracking | via | detection-learning-segmentation |
| Online robust image alignment | via | iterative convex optimization |
| Online Robust Image Alignment | via | Subspace Learning from Gradient Orientations |
| Online Summarization | via | Submodular and Convex Optimization |
| Online Unsupervised Video Object Segmentation | via | Contrastive Motion Clustering |
| Online Video Deblurring | via | Dynamic Temporal Blending Network |
| Online Video Object Segmentation | via | Convolutional Trident Network |
| Online video object segmentation | via | LRS representation |
| Online Video Sparse Noise Removing | via | Nonlocal Robust PCA |
| Online visual tracking | via | correlation filter with convolutional networks |
| Online Visual Tracking | via | Coupled Object-Context Dictionary |
| Online Visual Tracking | via | Two View Sparse Representation |
| Online Weight Pruning | via | Adaptive Sparsity Loss |
| Ontlus: 3D Content Collaborative Creation | via | Virtual Reality |
| Open Curve Segmentation | via | a 2-Phase Scheme |
| Open Set Action Recognition | via | Multi-Label Evidential Learning |
| Open Set Classification of GAN-based Image Manipulations | via | a ViT-based Hybrid Architecture |
| Open Set Domain Recognition | via | Attention-Based GCN and Semantic Matching Optimization |
| Open Set Recognition for Unique Person Counting | via | Virtual Gates |
| Open-Category Human-Object Interaction Pre-training | via | Language Modeling Framework |
| Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images | via | Online Resources |
| Open-Ended Video Question Answering | via | Multi-Modal Conditional Adversarial Networks |
| Open-Set Domain Generalization | via | Metric Learning |
| Open-Set Fine-Grained Retrieval | via | Prompting Vision-Language Evaluator |
| Open-Set Jamming Pattern Recognition | via | Generated Unknown Jamming Data |
| Open-set Semantic Segmentation for Point Clouds | via | Adversarial Prototype Framework |
| Open-Set Text Recognition | via | Character-Context Decoupling |
| Open-Vocabulary Instance Segmentation | via | Robust Cross-Modal Pseudo-Labeling |
| Open-World Object Detection | via | Discriminative Class Prototype Learning |
| Open-World Semantic Segmentation | via | Contrasting and Clustering Vision-Language Embedding |
| OpenGAN: Open-Set Recognition | via | Open Data Generation |
| Opinion fraud detection | via | neural autoencoder decision forest |
| Opinion Unaware Image Quality Assessment | via | Adversarial Convolutional Variational Autoencoder |
| Opinion-Unaware Blind Quality Assessment of Multiply and Singly Distorted Images | via | Distortion Parameter Estimation |
| Optic disk feature extraction | via | modified deformable model technique for glaucoma analysis |
| Optic Nerve Head Detection | via | Group Correlations in Multi-orientation Transforms |
| Optical Cloud Pixel Recovery | via | Machine Learning |
| Optical Feature Extraction | via | the Radon Transform |
| Optical Flow Domain Adaptation | via | Target Style Transfer |
| Optical Flow Estimation Between Images of Different Resolutions | via | Variational Method |
| Optical Flow Estimation | via | Motion Feature Recovery |
| Optical Flow Training Under Limited Label Budget | via | Active Learning |
| Optical Flow | via | Locally Adaptive Fusion of Complementary Data Costs |
| Optical Remote Sensing Image Registration Using Spatial-Consistency and Average Regional Information Divergence Minimization | via | Quantum-Behaved Particle Swarm Optimization |
| Optimal 3D object reconstruction and classification by separable moments | via | the Firefly algorithm |
| Optimal Billboard Deformation | via | 3D Voxel for Free-Viewpoint System |
| Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes | via | Reinforcement Learning |
| Optimal dependent bit allocation for AVS intra-frame coding | via | successive convex approximation |
| Optimal Discriminative Projection for Sparse Representation-Based Classification | via | Bilevel Optimization |
| Optimal Display Adaptation of Iconic Document Visualizations | via | BFOS-Style Tree Pruning |
| optimal elastic partial shape matching | via | shape geodesics, An |
| Optimal Essential Matrix Estimation | via | Inlier-Set Maximization |
| Optimal Feature Selection for Robust Classification | via | L2,1-Norms Regularization |
| Optimal Load Scheduling of Plug-In Hybrid Electric Vehicles | via | Weight-Aggregation Multi-Objective Evolutionary Algorithms |
| Optimal matching between shapes | via | elastic deformations |
| Optimal non-iterative pose estimation | via | convex relaxation |
| Optimal object matching | via | convexification and composition |
| Optimal Rayleigh Approximation of the K-Distribution | via | the Kullback-Leibler Divergence |
| Optimal seamline detection for multiple image mosaicking | via | graph cuts |
| Optimal seamline detection in dynamic scenes | via | graph cuts for image mosaicking |
| Optimal Spread Spectrum Watermark Embedding | via | a Multistep Feasibility Formulation |
| Optimal transform domain watermark embedding | via | linear programming |
| Optimal Transmission Estimation | via | Fog Density Perception for Efficient Single Image Defogging |
| Optimality Verification of Tensor Completion Model | via | Self-Validation |
| Optimised photometric stereo | via | non-convex variational minimisation |
| Optimization Method for Radar Anti-Jamming Strategy | via | Key Time Nodes, An |
| Optimization of Bilateral Filter Parameters | via | Chi-Square Unbiased Risk Estimate |
| Optimization of classifier chains | via | conditional likelihood maximization |
| Optimization of Low-Dose Tomography | via | Binary Sensing Matrices |
| Optimization of time-frequency curve description | via | kernel smoothing |
| Optimization of variational methods | via | motion-based weight selection and keypoint matching |
| Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion | via | Occlusion Factor Manipulation |
| Optimized Coded Aperture Design in Compressive Spectral Imaging | via | Coherence Minimization |
| Optimizing Binary MRFs | via | Extended Roof Duality |
| Optimizing Image Compression | via | Joint Learning with Denoising |
| Optimizing Locations and Qualities of Multiple Facilities With Competition | via | Intelligent Search |
| Optimizing Mixed Pedestrian-Vehicle Evacuation | via | Adaptive Network Reconfiguration |
| Optimizing Multiscale SSIM for Compression | via | MLDS |
| Optimizing Object Detection Models | via | Active Learning |
| Optimizing Quality of Experience for Adaptive Bitrate Streaming | via | Viewer Interest Inference |
| Optimizing the Sampling Area across an Old-Growth Forest | via | UAV-Borne Laser Scanning, GNSS, and Radial Surveying |
| Optimizing Video Object Detection | via | a Scale-Time Lattice |
| Optimizing Video Prediction | via | Video Frame Interpolation |
| Optimizing Visual Search Reranking | via | Pairwise Learning |
| OPTIMOL: automatic Online Picture collecTion | via | Incremental MOdel Learning |
| Optimum bit allocation and accurate rate control for video coding | via | p-domain source modeling |
| Optimum Design of Multistage Multirate FIR Filter for Audio Signal Sampling Rate Conversion | via | a Genetic Algorithm Approach, The |
| Optimum Image Thresholding | via | Class Uncertainty and Region Homogeneity |
| Order consistent change detection | via | fast statistical significance testing |
| Order Estimation | via | Matrix Completion for Multi-Switch Antenna Selection |
| Order Learning Using Partially Ordered Data | via | Chainization |
| Orderless and Blurred Visual Tracking | via | Spatio-temporal Context |
| Ordinal space projection learning | via | neighbor classes representation |
| Organising Crowd-Sourced Media Content | via | a Tangible Desktop Application |
| Orientation Adaptive Discrete Packet Wavelet Decomposition | via | Shifting Operators for Image Compression |
| Orientation Cues-Aware Facial Relationship Representation for Head Pose Estimation | via | Transformer |
| Orientation-Aware Vehicle Detection in Aerial Images | via | an Anchor-Free Object Detection Approach |
| OrtDet: An Orientation Robust Detector | via | Transformer for Object Detection in Aerial Images |
| Orthomosaicking Thermal Drone Images of Forests | via | Simultaneously Acquired RGB Images |
| OTB-morph: One-Time Biometrics | via | Morphing applied to Face Templates |
| Out of Distribution Generalization | via | Interventional Style Transfer in Single-Cell Microscopy |
| Out-of-Core Surface Reconstruction | via | Global TGV Minimization |
| Out-of-distribution Detection | via | Frequency-regularized Generative Models |
| Out-of-domain GAN inversion | via | Invertibility Decomposition for Photo-Realistic Human Face Manipulation |
| Out-of-Domain Human Mesh Reconstruction | via | Dynamic Bilevel Online Adaptation |
| Out-of-Sample Extension to Manifold Learning | via | Meta-Modeling, An |
| Outdoor omnidirectional video completion | via | depth estimation by motion analysis |
| Outer-Points shaver: Robust graph-based clustering | via | node cutting |
| Outlier faces detector | via | efficient cohesive subgraph identification |
| Over-exposure Correction | via | Exposure and Scene Information Disentanglement |
| Overcoming Catastrophic Forgetting in Incremental Object Detection | via | Elastic Response Distillation |
| Overcoming feature drifts | via | dynamic feature weighted k-nearest neighbor learning |
| Overfitting the Data: Compact Neural Video Delivery | via | Content-aware Feature Modulation |
| Oversampled lapped transforms | via | time-domain pre- and post-processing |
| Overview of a Self-Adaptive ATR System | via | Context-Based Configuration and Control |
| Overwater Image Dehazing | via | Cycle-consistent Generative Adversarial Network |
| Ownership Verification of DNN Architectures | via | Hardware Cache Side Channels |
| P2T: Part-to-Target Tracking | via | Deep Regression Learning |
| PAC-Net: Highlight Your Video | via | History Preference Modeling |
| PACO: Global Signal Restoration | via | PAtch COnsensus |
| Page segmentation for Manhattan and non-Manhattan layout documents | via | selective CRLA |
| PageSense: Toward Stylewise Contextual Advertising | via | Visual Analysis of Web Pages |
| Pain intensity recognition | via | multi-scale deep network |
| Painterly Image Harmonization | via | Adversarial Residual Learning |
| Painting Outside as Inside: Edge Guided Image Outpainting | via | Bidirectional Rearrangement with Progressive Step Learning |
| Pairing of a Wavelet Basis With a Mildly Redundant Analysis | via | Subband Regression, The |
| Pairwise Identity Verification | via | Linear Concentrative Metric Learning |
| Palmprint and Finger Knuckle Based Person Authentication with Random Forest | via | Kernel-2DPCA |
| Palmprint recognition | via | discriminative index learning |
| PAMS: Quantized Super-resolution | via | Parameterized Max Scale |
| Pan-Sharpening for Spectral Details Preservation | via | Convolutional Sparse Coding in Non-Subsampled Shearlet Space |
| Pan-sharpening | via | a gradient-based deep network prior |
| Pan-sharpening | via | deep metric learning |
| Pan-Sharpening | via | High-Pass Modification Convolutional Neural Network |
| Pan-sharpening | via | intrinsic decomposition knowledge distillation |
| Pan-sharpening | via | multi-scale and multiple deep neural networks |
| Pan-Sharpening | via | Multiscale Dynamic Convolutional Neural Network |
| PanelNet: Understanding 360 Indoor Environment | via | Panel Representation |
| Panoptic Compositional Feature Field for Editable Scene Rendering with Network-Inferred Labels | via | Metric Learning |
| Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation | via | Clustering Pseudo Heatmap |
| Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents | via | Unsupervised Contrastive Learning |
| Pansharpening of Rasat And Gokturk-2 Images | via | High Pass Filter |
| Parallax correction | via | disparity estimation in a multi-aperture camera |
| Parallel Algorithms | via | Scaled Paraboloid Structuring Functions for Spatially-Variant and Label-Set Dilations and Erosions |
| Parallel Computation of the Euler Number | via | Connectivity Graph |
| Parallel Convolutional Networks for Image Recognition | via | a Discriminator |
| Parallel implementation of empirical mode decomposition for nearly bandlimited signals | via | polyphase representation |
| Parallel Point Clouds: Hybrid Point Cloud Generation and 3D Model Enhancement | via | Virtual-Real Integration |
| Parallelizable Global Conformal Parameterization of Simply-Connected Surfaces | via | Partial Welding |
| Parallelizable Global Quasi-Conformal Parameterization of Multiply Connected Surfaces | via | Partial Welding |
| Parallelized Annealed Particle Filter for real-time marker-less motion tracking | via | heterogeneous computing |
| Parameterizing Arbitrary Shapes | via | Fourier Descriptors for Evidence-Gathering Extraction |
| Parametric Human Shape Reconstruction | via | Bidirectional Silhouette Guidance |
| Parametric Instantaneous Frequency Estimation | via | PWSR with Adaptive QFM Dictionary |
| Parser-Free Virtual Try-on | via | Distilling Appearance Flows |
| Part-based 3D object retrieval | via | multi-label optimization |
| Part-Based Tracking | via | Salient Collaborating Features |
| Part-based visual tracking | via | structural support correlation filter |
| Partial Hash Update | via | Hamming Subspace Learning |
| Partial Label Learning | via | GANs With Multiclass SVMs and Information Maximization |
| Partial Multi-Label Learning | via | Credible Label Elicitation |
| Partial Multi-Modal Hashing | via | Neighbor-Aware Completion Learning |
| Partial Occlusion Handling for Visual Tracking | via | Robust Part Matching |
| Partial Optimality | via | Iterative Pruning for the Potts Model |
| Partial Point Cloud Registration | via | Soft Segmentation |
| Partial-Duplicate Image Retrieval | via | Saliency-Guided Visual Matching |
| Partially shaded sketch-based image search in real mobile device environments | via | sketch-oriented compact neural codes |
| Particle filter-based vehicle tracking | via | HOG features after image stabilisation in intelligent drive system |
| Partition-and-Debias: Agnostic Biases Mitigation | via | A Mixture of Biases-Specific Experts |
| Parts-per-Object Count in Agricultural Images: Solving Phenotyping Problems | via | a Single Deep Neural Network |
| PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds | via | Pretrained Image-Language Models |
| Passive 3D Scene Reconstruction | via | Hyperspectral Imagery |
| Passive Moving Target Classification | via | Spectra Multiplication Method |
| Patch Embedding as Local Features: Unifying Deep Local and Global Features | via | Vision Transformer for Image Retrieval |
| Patch-Based Approach for Artistic Style Transfer | via | Constrained Multi-Scale Image Matching, A |
| Patch-based image deconvolution | via | joint modeling of sparse priors |
| Patch-Wise Semantic Segmentation for Hyperspectral Images | via | a Cubic Capsule Network with EMAP Features |
| PatchCut: Data-driven object segmentation | via | local shape transfer |
| PatchNet: A Simple Face Anti-Spoofing Framework | via | Fine-Grained Patch Recognition |
| Pathology-Based Ischemic Stroke Etiology Classification | via | Clot Composition Guided Multiple Instance Learning |
| Pattern discovery in motion time series | via | structure-based spectral clustering |
| Pattern identification in dynamical systems | via | symbolic time series analysis |
| Pattern localization in historical document images | via | template matching |
| Pavement Crack Detection and Clustering | via | Region-Growing Algorithm from 3D MLS Point Clouds |
| Pavement Distress Detection Using Street View Images Captured | via | Action Camera |
| PCA-based dictionary building for accurate facial expression recognition | via | sparse representation |
| PCC Net: Perspective Crowd Counting | via | Spatial Convolutional Network |
| PCR-CG: Point Cloud Registration | via | Deep Explicit Color and Geometry |
| PCT: Large-Scale 3d Point Cloud Representations | via | Graph Inception Networks with Applications to Autonomous Driving |
| PDE Approach to Nonlinear Image Simplification | via | Levelings and Reconstruction Filters, A |
| PDRLRR: A novel low-rank representation with projection distance regularization | via | manifold optimization for clustering |
| PEDENet: Image anomaly localization | via | patch embedding and density estimation |
| Pedestrian Color Naming | via | Convolutional Neural Network |
| Pedestrian Detection from Lidar Data | via | Cooperative Deep and Hand-Crafted Features |
| Pedestrian detection in crowded scenes | via | scale and occlusion analysis |
| Pedestrian detection in images | via | cascaded L1-norm minimization learning method |
| Pedestrian detection in underground mines | via | parallel feature transfer network |
| Pedestrian Detection in Video Images | via | Error Correcting Output Code Classification of Manifold Subclasses |
| Pedestrian detection | via | a leg-driven physiology framework |
| Pedestrian Detection | via | Body Part Semantic and Contextual Information With DNN |
| Pedestrian Detection | via | Classification on Riemannian Manifolds |
| Pedestrian detection | via | logistic multiple instance boosting |
| Pedestrian Detection | via | Mixture of CNN Experts and Thresholded Aggregated Channel Features |
| Pedestrian detection | via | part-based topology model |
| Pedestrian Detection | via | Periodic Motion Analysis |
| Pedestrian Image Segmentation | via | Shape-Prior Constrained Random Walks |
| Pedestrian motion recognition | via | Conv-VLAD integrated spatial-temporal-relational network |
| Pedestrian Parsing | via | Deep Decompositional Network |
| Pedestrian re-identification | via | coarse-to-fine ranking |
| PEFAT: Boosting Semi-Supervised Medical Image Classification | via | Pseudo-Loss Estimation and Feature Adversarial Training |
| People Identification Using Gait | via | Floor Pressure Sensing and Analysis |
| Perceiving Graphical and Pictorial Information | via | Hearing and Touch |
| Perception-Enhanced Image Super-Resolution | via | Relativistic Generative Adversarial Networks |
| Perceptual Color Image Smoothing | via | a New Region-Based PDE Scheme |
| Perceptual Distributed Compressive Video Sensing | via | Reweighted Sampling and Rate-Distortion Optimized Measurements Allocation |
| Perceptual edge detection | via | entropy-driven gradient evaluation |
| Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction | via | Adversarial Training |
| Perceptual grouping | via | untangling Gestalt principles |
| Perceptual Image Hashing | via | Feature Points: Performance Evaluation and Tradeoffs |
| Perceptual Image Hashing | via | Wave Atom Transform |
| Perceptual Organization | via | the Symmetry Map and Symmetry Transforms |
| Perceptual Redundancy Estimation of Screen Images | via | Multi-Domain Sensitivities |
| Perceptually optimized sparse coding for HDR images | via | divisive normalization |
| Performance Analysis of an OCR System | via | an Artificial Handwritten Chinese Character Generator |
| Performance Bounds for Cosparse Multichannel Signal Recovery | via | Collaborative-TV |
| Performance Evaluation of Shape Matching | via | Chord Length Distribution |
| Performance Guaranteed Network Acceleration | via | High-Order Residual Quantization |
| Performance of two Multiscale Texture Algorithms in Classifying Silver Gelatin Paper | via | K-Nearest Neighbors |
| Perfusion assessment | via | local remote photoplethysmography (rPPG) |
| Periodic Motion Detection and Estimation | via | Space-Time Sampling |
| Periodic Motion Detection and Segmentation | via | Approximate Sequence Alignment |
| Peripheral Expansion of Depth Information | via | Layout Estimation with Fisheye Camera |
| Permutation-Aware Activity Segmentation | via | Unsupervised Frame-to-Segment Alignment |
| PersFormer: 3D Lane Detection | via | Perspective Transformer and the OpenLane Benchmark |
| Person Image Synthesis | via | Denoising Diffusion Model |
| Person re-identification based on gait | via | Part View Transformation Model under variable covariate conditions |
| Person Re-identification in Frontal Gait Sequences | via | Histogram of Optic Flow Energy Image |
| Person re-identification | via | adaboost ranking ensemble |
| Person Re-Identification | via | Attention Pyramid |
| Person Re-identification | via | Discriminative Accumulation of Local Features |
| Person Re-Identification | via | Distance Metric Learning With Latent Variables |
| Person re-identification | via | integrating patch-based metric learning and local salience learning |
| Person re-identification | via | person DPM based partition |
| Person Re-identification | via | Recurrent Feature Aggregation |
| Person re-identification | via | region-of-interest based features |
| Person Re-Identification without Identification | via | Event Anonymization |
| Person Reidentification | via | Discrepancy Matrix and Matrix Metric |
| Person Reidentification | via | Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing |
| Person Reidentification | via | Unsupervised Cross-View Metric Learning |
| Person Retrieval in Surveillance Videos | via | Deep Attribute Mining and Reasoning |
| Person Search | via | a Mask-Guided Two-Stream CNN Model |
| Personality Traits and Job Candidate Screening | via | Analyzing Facial Videos |
| Personalized Image Aesthetics Assessment | via | Meta-Learning With Bilevel Gradient Optimization |
| Personalized image annotation | via | class-specific cross-domain learning |
| Personalized News Video Recommendation | via | Interactive Exploration |
| Personalized recommendation | via | inductive spatiotemporal graph neural network |
| Personalized Trajectory Prediction | via | Distribution Discrimination |
| Personalizing Federated Medical Image Segmentation | via | Local Calibration |
| Perspective Motion Segmentation | via | Collaborative Clustering |
| PG-VTON: A Novel Image-Based Virtual Try-On Method | via | Progressive Inference Paradigm |
| PGF-BIQA: Blind image quality assessment | via | probability multi-grained cascade forest |
| Phase Calibration of Airborne Tomographic SAR Data | via | Phase Center Double Localization |
| Phase imaging | via | sparse coding in the complex domain based on high-order SVD and nonlocal BM3D techniques |
| Phase retrieval from incomplete data | via | weighted nuclear norm minimization |
| Phase Retrieval From Quantized Measurements | via | Approximate Message Passing |
| Phase Retrieval | via | Matrix Completion |
| Phase Retrieval | via | Polarization in Dynamical Sampling |
| Phase retrieval | via | spatial light modulator phase modulation in 4f optical setup: numerical inverse imaging with sparse regularization for phase and amplitude |
| Phase Retrieval | via | the Alternating Direction Method of Multipliers |
| Phase retrieval with unknown sampling factors | via | the two-dimensional chirp z-transform |
| Phase unwrapping | via | diversity and graph cuts |
| Phase Unwrapping | via | Graph Cuts |
| PhaseMP: Robust 3D Pose Estimation | via | Phase-conditioned Human Motion Prior |
| Photo Aesthetics Analysis | via | DCNN Feature Encoding |
| Photo Realistic Image Completion | via | Dense Correspondence |
| Photo Stylistic Brush: Robust Style Transfer | via | Superpixel-Based Bipartite Graph |
| Photo-realistic dehazing | via | contextual generative adversarial networks |
| Photo-Realistic Image Super-Resolution | via | Variational Autoencoders |
| Photogrammetric 3D Model | via | Smartphone GNSS Sensor: Workflow, Error Estimate, and Best Practices |
| Photographic paper classification | via | local radius index metric |
| PhotoHelper: Portrait Photographing Guidance | via | Deep Feature Retrieval and Fusion |
| Photometric Stereo for General BRDFs | via | Reflection Sparsity Modeling |
| Photometric Stereo | via | Discrete Hypothesis-and-Test Search |
| Photometric Stereo | via | Expectation Maximization |
| Photometric Stereo | via | Locality Sensitive High-Dimension Hashing |
| Photorealistic Style Transfer | via | Wavelet Transforms |
| PhygitalNet: Unified Face Presentation Attack Detection | via | One-Class Isolation Learning |
| Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors | via | 3D Modeling |
| Physically-Based Simulation of Cosmetics | via | Intrinsic Image Decomposition with Facial Priors |
| Pico-Sat to Ground Control: Optimizing Download Link | via | Laser Communication |
| Pictorial Feature Extraction and Recognition | via | Image Modeling |
| Picture Understanding by Machine | via | Textural Feature Extraction |
| Piecewise Linear Approximation of Vector-Valued Images and Curves | via | Second-Order Variational Model |
| Piecewise-Smooth Dense Optical Flow | via | Level Sets |
| PIF: Anomaly detection | via | preference embedding |
| PINE: Universal Deep Embedding for Graph Nodes | via | Partial Permutation Invariant Set Functions |
| PIP: Physical Interaction Prediction | via | Mental Simulation with Span Selection |
| PIRenderer: Controllable Portrait Image Generation | via | Semantic Neural Rendering |
| PIRM: Fast background subtraction under sudden, local illumination changes | via | probabilistic illumination range modelling |
| PIRNet: Privacy-Preserving Image Restoration Network | via | Wavelet Lifting |
| pixel pair-based encoding pattern for stereo matching | via | an adaptively weighted cost, A |
| Pixel recovery | via | el minimization in the wavelet domain |
| Pixel-Wise Crowd Understanding | via | Synthetic Data |
| Pixel-Wise Grasp Detection | via | Twin Deconvolution and Multi-Dimensional Attention |
| Pixel-Wise PolSAR Image Classification | via | a Novel Complex-Valued Deep Fully Convolutional Network |
| Pixel-Wise Prediction based Visual Odometry | via | Uncertainty Estimation |
| Pixel2Mesh++: Multi-View 3D Mesh Generation | via | Deformation |
| Pixel2Mesh: 3D Mesh Model Generation | via | Image Guided Deformation |
| PixMatch: Unsupervised Domain Adaptation | via | Pixelwise Consistency Training |
| Place Recognition | via | 3D Modeling for Personal Activity Lifelog Using Wearable Camera |
| Planar Object Tracking | via | Weighted Optical Flow |
| Planar Segmentation from Point Clouds | via | Graph Laplacian Regularized K-Planes |
| Plane-based calibration algorithm for multi-camera systems | via | factorization of homography matrices |
| PlaneDepth: Self-Supervised Depth Estimation | via | Orthogonal Planes |
| Plankton Classification on Imbalanced Dataset | via | Hybrid Resample Method with LightBGM |
| Plankton classification on imbalanced large scale database | via | convolutional neural networks with transfer learning |
| Plant Leaf Identification | via | a Growing Convolution Neural Network with Progressive Sample Learning |
| PM2.5 Estimation in Day/Night-Time from Himawari-8 Infrared Bands | via | a Deep Learning Neural Network |
| PNPDet: Efficient Few-shot Detection without Forgetting | via | Plug-and-Play Sub-networks |
| Point Cloud Attribute Compression | via | Successive Subspace Graph Transform |
| point cloud compression framework | via | spherical projection, A |
| Point Cloud Denoising | via | Feature Graph Laplacian Regularization |
| Point Cloud Denoising | via | Momentum Ascent in Gradient Fields |
| Point Cloud Domain Adaptation | via | Masked Local 3D Structure Prediction |
| Point Cloud Geometry Compression | via | Neural Graph Sampling |
| Point Cloud Quality Assessment | via | 3D Edge Similarity Measurement |
| Point Cloud Resampling | via | Hypergraph Signal Processing |
| Point Cloud Sampling | via | Graph Balancing and Gershgorin Disc Alignment |
| Point Cloud Upsampling | via | a Coarse-to-Fine Network |
| Point Cloud Upsampling | via | Cascaded Refinement Network |
| Point Cloud Upsampling | via | Disentangled Refinement |
| Point Cloud Upsampling | via | Perturbation Learning |
| Point Cloud Video Super-Resolution | via | Partial Point Coupling and Graph Smoothness |
| Point Event Cluster Detection | via | the Bayesian Generalized Fused Lasso |
| Point matching | via | affine region expansion |
| Point MixSwap: Attentional Point Cloud Mixing | via | Swapping Matched Structural Divisions |
| Point Pattern Matching | via | Spectral Geometry |
| Point Scene Understanding | via | Disentangled Instance Mesh Reconstruction |
| Point Set Registration | via | Particle Filtering and Stochastic Dynamics |
| Point Target Classification | via | Fast Lossless and Sufficient Omega-Psi-Phi Invariant Decomposition of High-Resolution and Fully Polarimetric SAR/ISAR Data |
| Point-based rendering enhancement | via | deep learning |
| Point-of-Interest Recommendations | via | a Supervised Random Walk Algorithm |
| Point-Supervised Single-Cell Segmentation | via | Collaborative Knowledge Sharing |
| Point-to-Box Network for Accurate Object Detection | via | Single Point Supervision |
| Point-wise saliency detection on 3D point clouds | via | covariance descriptors |
| Point2Mask: Point-supervised Panoptic Segmentation | via | Optimal Transport |
| Point2Pix: Photo-Realistic Point Cloud Rendering | via | Neural Radiance Fields |
| PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds | via | Cross-modal Distillation and Super-Voxel Clustering |
| PointDrop: Improving Object Detection from Sparse Point Clouds | via | Adversarial Data Augmentation |
| Pointing Gesture Recognition | via | Self-supervised Regularization for ASD Screening |
| PointInverter: Point Cloud Reconstruction and Editing | via | a Generative Model with Shape Priors |
| PointNeuron: 3D Neuron Reconstruction | via | Geometry and Topology Learning of Point Clouds |
| PointOT: Interpretable Geometry-Inspired Point Cloud Generative Model | via | Optimal Transport |
| Poisson noise removal | via | learned dictionary |
| Polarimetric Image Segmentation | via | Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets |
| Polarimetric Imaging | via | Deep Learning: A Review |
| Polarimetric Range Extended Target Detection | via | Adaptive Range Weighted Feature Extraction |
| Polarimetric Two-Scale Two-Component Model for the Retrieval of Soil Moisture Under Moderate Vegetation | via | L-Band SAR Data |
| Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks | via | Singular Values |
| Polarization-based Surface Reconstruction | via | Patch Matching |
| PolSAR Feature Extraction | via | Tensor Embedding Framework for Land Cover Classification |
| PolSAR Image Classification | via | Learned Superpixels and QCNN Integrating Color Features |
| PolSAR Image Feature Extraction | via | Co-Regularized Graph Embedding |
| PolSAR Scene Classification | via | Low-Rank Constrained Multimodal Tensor Representation |
| Polygonal 3D Layout Reconstruction of an Indoor Environment | via | Voxel-Based Room Segmentation and Space Partition, The |
| Polygonal Approximation of Digital Planar Curves | via | Hybrid Monte Carlo Optimization |
| PolyLaneNet: Lane Estimation | via | Deep Polynomial Regression |
| Polynomiography | via | Ishikawa and Mann Iterations |
| Polyp Detection | via | Imbalanced Learning and Discriminative Feature Learning |
| Ponder: Point Cloud Pre-training | via | Neural Rendering |
| Poor textural image tie point matching | via | graph theory |
| Pop-Out Motion: 3D-Aware Image Deformation | via | Learning the Shape Laplacian |
| POP: Mining POtential Performance of New Fashion Products | via | Webly Cross-modal Query Expansion |
| Popular biorthogonal wavelet filters | via | a lifting scheme and its application in image compression |
| Porn Streamer Recognition in Live Video Streaming | via | Attention-Gated Multimodal Deep Features |
| Pornographic Image Recognition | via | Weighted Multiple Instance Learning |
| Portable information security display system | via | Spatial PsychoVisual Modulation |
| Pose and Expression Robust Age Estimation | via | 3D Face Reconstruction from a Single Image |
| Pose Estimation of Kinematic Chain Instances | via | Object Coordinate Regression |
| Pose Estimation | via | Complex-Frequency Domain Analysis of Image Gradient Orientations |
| Pose Independent Face Recognition by Localizing Local Binary Patterns | via | Deformation Components |
| Pose Machines: Articulated Pose Estimation | via | Inference Machines |
| Pose normalization of 3D models | via | reflective symmetry on panoramic views |
| Pose Normalization | via | Learned 2D Warping for Fully Automatic Face Recognition |
| Pose, illumination and expression invariant pairwise face-similarity measure | via | Doppelganger list comparison |
| Pose-Aided Video-Based Person Re-Identification | via | Recurrent Graph Convolutional Network |
| Pose-based human action recognition | via | sparse representation in dissimilarity space |
| Pose-Free Facial Landmark Fitting | via | Optimized Part Mixtures and Cascaded Deformable Shape Model |
| Pose-Free Neural Radiance Fields | via | Implicit Pose Regularization |
| Pose-guided part matching network | via | shrinking and reweighting for occluded person re-identification |
| Pose-Invariant Face Alignment | via | CNN-Based Dense 3D Model Fitting |
| Pose-Robust Face Recognition | via | Deep Residual Equivariant Mapping |
| Pose-Robust Face Recognition | via | Sparse Representation |
| PoseAgent: Budget-Constrained 6D Object Pose Estimation | via | Reinforcement Learning |
| PoseDiffusion: Solving Pose Estimation | via | Diffusion-aided Bundle Adjustment |
| Poselet-Based Contextual Rescoring for Human Pose Estimation | via | Pictorial Structures |
| PoseNet3D: Learning Temporally Consistent 3D Human Pose | via | Knowledge Distillation |
| Positive Semidefinite Generalized Diffusion Tensor Imaging | via | Quadratic Semidefinite Programming |
| Positive Unlabeled Fake News Detection | via | Multi-Modal Masked Transformer Network |
| Positive-Sample-Free Object Tracking | via | a Soft Constraint |
| Post-DAE: Anatomically Plausible Segmentation | via | Post-Processing With Denoising Autoencoders |
| Post-Distillation | via | Neural Resuscitation |
| Post-training deep neural network pruning | via | layer-wise calibration |
| Postprocessing of Compressed Images | via | Sequential Denoising |
| Postprocessing of Optical Flows | via | Surface Measures and Motion Inpainting |
| Postprocessing of Transform Coded Images | via | Histogram Based Edge Classification |
| Powering Virtual Try-On | via | Auxiliary Human Segmentation Learning |
| PPR-FCN: Weakly Supervised Visual Relation Detection | via | Parallel Pairwise R-FCN |
| PQA-Net: Deep No Reference Point Cloud Quality Assessment | via | Multi-View Projection |
| PR-RL: Portrait Relighting | via | Deep Reinforcement Learning |
| Practical Evaluation of Adversarial Robustness | via | Adaptive Auto Attack |
| Practical protection against video data leakage | via | universal adversarial head |
| Practical Stereo Matching | via | Cascaded Recurrent Network with Adaptive Correlation |
| Precise 2.5D facial landmarking | via | an analysis by synthesis approach |
| Precise Hand-printed Character Recognition Using Elastic Models | via | Nonlinear Transformation |
| Precise Localization and Mapping in Indoor Parking Structures | via | Parameterized SLAM |
| Precision Near-Field Reconstruction in the Time Domain | via | Minimum Entropy for Ultra-High Resolution Radar Imaging |
| Precision-Energy-Throughput Scaling of Generic Matrix Multiplication and Convolution Kernels | via | Linear Projections |
| Preclassification Method for Handwritten Chinese Character Recognition | via | Fuzzy Rules and SEART Neural Net |
| PRED: A Parallel Network for Handling Multiple Degradations | via | Single Model in Single Image Super-Resolution |
| Predicting Animation Skeletons for 3D Articulated Models | via | Volumetric Nets |
| Predicting Channel Conveyance and Characterizing Planform Using River Bathymetry | via | Satellite Image Compilation (RiBaSIC) Algorithm for DEM-Based Hydrodynamic Modeling |
| Predicting Content Similarity | via | Multimodal Modeling for Video-In-Video Advertising |
| Predicting Human Eye Fixations | via | an LSTM-Based Saliency Attentive Model |
| Predicting Long-Term Trajectories of Connected Vehicles | via | the Prefix-Projection Technique |
| Predicting Microblog Sentiments | via | Weakly Supervised Multimodal Deep Learning |
| Predicting Movie Trailer Viewer's Like/Dislike | via | Learned Shot Editing Patterns |
| Predicting Multiple Attributes | via | Relative Multi-task Learning |
| Predicting occupation | via | human clothing and contexts |
| Predicting Stereoscopic Image Quality | via | Stacked Auto-Encoders Based on Stereopsis Formation |
| Predicting Task-Driven Attention | via | Integrating Bottom-Up Stimulus and Top-Down Guidance |
| Predicting the Optimum Corn Harvest Time | via | the Quantity of Dry Matter Determined with Vegetation Indices Obtained from Multispectral Field Imaging |
| Predicting the Top-N Popular Videos | via | a Cross-Domain Hybrid Model |
| Predicting Traffic Flow | via | Ensemble Deep Convolutional Neural Networks with Spatio-temporal Joint Relations |
| Predicting Urban Region Heat | via | Learning Arrive-Stay-Leave Behaviors of Private Cars |
| Prediction of Myopia Eye Axial Elongation With Orthokeratology Treatment | via | Dense I2I Based Corneal Topography Change Analysis |
| Prediction of Water Temperature Based on Graph Neural Network in a Small-Scale Observation | via | Coastal Acoustic Tomography |
| Predictive lossless compression of regions of interest in hyperspectral image | via | Maximum Correntropy Criterion based Least Mean Square learning |
| Predictive Threat Assessment | via | Reachability Analysis and Set Invariance Theory |
| Preserving Location-Privacy in Vehicular Networks | via | Reinforcement Learning |
| Pretraining Image Encoders without Reconstruction | via | Feature Prediction Loss |
| PreTraM: Self-supervised Pre-training | via | Connecting Trajectory and Map |
| Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation | via | Synthetic Data |
| Primary object discovery and segmentation in videos | via | graph-based transductive inference |
| Primary Object Segmentation in Videos | via | Alternate Convex Optimization of Foreground and Background Distributions |
| Primary Quantization Matrix Estimation of Double Compressed JPEG Images | via | CNN |
| Primary Video Object Segmentation | via | Complementary CNNs and Neighborhood Reversible Flow |
| Primitive-Based Shape Abstraction | via | Nonparametric Bayesian Inference |
| Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease | via | Learning to Rank |
| PRISM: Person Reidentification | via | Structured Matching |
| Privacy Preserving Localization | via | Coordinate Permutations |
| Privacy Protection for Social Video | via | Background Estimation and CRF-Based Videographer's Intention Modeling |
| Privacy-Preserving Action Recognition | via | Motion Difference Quantization |
| Privacy-Preserving Image Features | via | Adversarial Affine Subspace Embeddings |
| Privacy-Preserving Indoor Localization | via | Active Scene Illumination |
| Privacy-Preserving Video Fall Detection | via | Chaotic Compressed Sensing and GAN-Based Feature Enhancement |
| Privileged Modality Learning | via | Multimodal Hallucination |
| Proactive Deepfake Defence | via | Identity Watermarking |
| Proactive Eavesdropping | via | Jamming in UAV-Enabled Relaying Systems With Statistical CSI |
| Proactive Eavesdropping | via | Jamming Over Multiple Suspicious Links With Wireless-Powered Monitor |
| Proactive Monitoring | via | Jamming in Amplify-and-Forward Relay Networks |
| Probabilistic Approach to Image Orientation Detection | via | Confidence-Based Integration of Low-Level and Semantic Cues, A |
| Probabilistic Brain Extraction in MR Images | via | Conditional Generative Adversarial Networks |
| Probabilistic DBNN | via | expectation-maximization with multi-sensor classification applications |
| Probabilistic Dimensionality Reduction | via | Structure Learning |
| probabilistic model for image representation | via | multiple patterns, A |
| Probabilistic optimized ranking for multimedia semantic concept detection | via | RVM |
| Probabilistic Plant Modeling | via | Multi-view Image-to-Image Translation |
| Probabilistic Space-Time Video Modeling | via | Piecewise GMM |
| Probabilistic Subspace Clustering | via | Sparse Representations |
| Probabilistic Tracking of Pedestrian Movements | via | In-Floor Force Sensing |
| Probing Tissue Microarchitecture of the Baby Brain | via | Spherical Mean Spectrum Imaging |
| Procedure Planning in Instructional Videos | via | Contextual Modeling and Model-based Policy Learning |
| Processing images for red-green dichromats compensation | via | naturalness and information-preservation considered recoloring |
| Processing Sparse Panoramic Images | via | Space Variant Operators |
| Processing textured surfaces | via | anisotropic geometric diffusion |
| Product Manifold Filter: Non-rigid Shape Correspondence | via | Kernel Density Estimation in the Product Space |
| Product1M: Towards Weakly Supervised Instance-Level Product Retrieval | via | Cross-Modal Pretraining |
| ProFeat: Unsupervised image clustering | via | progressive feature refinement |
| Prognosticating the effect on Unemployment rate in the post-pandemic India | via | Time-Series Forecasting and Least Squares Approximation |
| Progressive Backdoor Erasing | via | connecting Backdoor and Adversarial Attacks |
| Progressive Colorization | via | Iterative Generative Models |
| Progressive feature matching | via | triplet graph |
| Progressive Fusion Video Super-Resolution Network | via | Exploiting Non-Local Spatio-Temporal Correlations |
| Progressive graph matching: Making a move of graphs | via | probabilistic voting |
| Progressive lossless image coding | via | self-referential partitions |
| Progressive Point Cloud Upsampling | via | Differentiable Rendering |
| Progressive polarization based reflection removal | via | realistic training data generation |
| Progressive Stereo Image Dehazing Network | via | Cross-View Region Interaction |
| Progressive Video Summarization | via | Multimodal Self-supervised Learning |
| Projecting Your View Attentively: Monocular Road Scene Layout Estimation | via | Cross-view Transformation |
| Promoter recognition based on the Interpolated Markov Chains optimized | via | simulated annealing and genetic algorithm |
| PromptCAL: Contrastive Affinity Learning | via | Auxiliary Prompts for Generalized Novel Category Discovery |
| Propagator-based computationally efficient direction finding | via | low-dimensional equation rooting |
| Proposal-Free One-Stage Framework for Referring Expression Comprehension and Generation | via | Dense Cross-Attention, A |
| Proposal-Free Temporal Action Detection | via | Global Segmentation Mask Learning |
| ProposalCLIP: Unsupervised Open-Category Object Proposal Generation | via | Exploiting CLIP Cues |
| ProS: Facial Omni-Representation Learning | via | Prototype-based Self-Distillation |
| Prostate Cancer Inference | via | Weakly-Supervised Learning using a Large Collection of Negative MRI |
| Prostate Segmentation in CT Images | via | Spatial-Constrained http://dx.doi.org/10.1007/978-3-642-35428-1_1 |
| Protecting Facial Privacy: Generating Adversarial Identity Masks | via | Style-robust Makeup Transfer |
| Protection and Utilization of Privacy Information | via | Sensing |
| Protocon: Pseudo-Label Refinement | via | Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning |
| ProtoFL: Unsupervised Federated Learning | via | Prototypical Distillation |
| Prototype Selection | via | Prototype Relevance |
| Provable image encryption scheme | via | trapdoor permutation |
| Providing clear pruning threshold: A novel CNN pruning method | via | L0 regularisation |
| Proxybnn: Learning Binarized Neural Networks | via | Proxy Matrices |
| Pruning CNN filters | via | quantifying the importance of deep visual representations |
| Pruning from Scratch | via | Shared Pruning Module and Nuclear norm-based Regularization |
| Pruning-and-distillation: One-stage joint compression framework for CNNs | via | clustering |
| Pseudo-L0-Norm Fast Iterative Shrinkage Algorithm Network: Agile Synthetic Aperture Radar Imaging | via | Deep Unfolding Network |
| Pseudo-label estimation | via | unsupervised Identity Link Prediction for one-shot person Re-Identification |
| PSF Estimation | via | Gradient Domain Correlation |
| PTZ Camera Modeling and Panoramic View Generation | via | Focal Plane Mapping |
| Public participation in GIS | via | mobile applications |
| Public Participation in Gis | via | Mobile Applications for Crisis Management Process: a Case Study of An Earthquake, Tehran, Iran |
| PULSE: Self-Supervised Photo Upsampling | via | Latent Space Exploration of Generative Models |
| Purifying Low-Light Images | via | Near-Infrared Enlightened Image |
| Push for Center Learning | via | Orthogonalization and Subspace Masking for Person Re-Identification |
| Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation | via | Neural Rendering |
| Pushing the Envelope of Gradient Boosting Forests | via | Globally-Optimized Oblique Trees |
| Puzzle-CAM: Improved Localization | via | Matching Partial and Full Features |
| Pyramidal Person Re-IDentification | via | Multi-Loss Dynamic Training |
| Q-Match: Iterative Shape Matching | via | Quantum Annealing |
| QaQ: Robust 6D Pose Estimation | via | Quality-Assessed RGB-D Fusion |
| QFT: Post-training Quantization | via | Fast Joint Finetuning of All Degrees of Freedom |
| QR-code Reconstruction from Event Data | via | Optimization in Code Subspace |
| Quality assessment for color correction-based stitched images | via | bi-directional matching |
| Quality Assessment for Stitched Panoramic Images | via | Patch Registration and Bidimensional Feature Aggregation |
| Quality assessment of multiply and singly distorted stereoscopic images | via | adaptive construction of cyclopean views |
| Quality Assessment of Screen Content Images | via | Convolutional-Neural-Network-Based Synthetic/Natural Segmentation |
| Quality Enhancement Network | via | Multi-Reconstruction Recursive Residual Learning for Video Coding |
| Quality-Agnostic Image Recognition | via | Invertible Decoder |
| Quality-aware dual-modal saliency detection | via | deep reinforcement learning |
| Quantifying cortical surface asymmetry | via | logistic discriminant analysis |
| Quantifying Model Uncertainty in Inverse Problems | via | Bayesian Deep Gradient Descent |
| Quantifying Surface Reflectivity for Spaceborne Lidar | via | Two Independent Methods |
| Quantitative evaluation on 3D fetus morphology | via | X-ray grating based imaging technique |
| Quantization Based Data Hiding Scheme for Efficient Quality Access Control of Images Using DWT | via | Lifting |
| Quantization Noise Mitigation | via | Parallel ADCs |
| Quantized Output-Feedback Control for Unmanned Marine Vehicles With Thruster Faults | via | Sliding-Mode Technique |
| Quantizing Oriented Object Detection Network | via | Outlier-Aware Quantization and IoU Approximation |
| Quasi-)Real-Time Inversion of Airborne Time-Domain Electromagnetic Data | via | Artificial Neural Network |
| Query by humming | via | hierarchical filters |
| Query-efficient decision-based attack | via | sampling distribution reshaping |
| Query-Free Clothing Retrieval | via | Implicit Relevance Feedback |
| Quick Detection of Field-Scale Soil Comprehensive Attributes | via | the Integration of UAV and Sentinel-2B Remote Sensing Data |
| Quick Dissimilarity Detection for Center-Based Binary Images | via | Smart Mapping |
| Quick response barcode deblurring | via | L_0 regularisation based sparse optimisation |
| R-Pred: Two-Stage Motion Prediction | via | Tube-Query Attention-Based Trajectory Refinement |
| R2RNet: Low-light image enhancement | via | Real-low to Real-normal Network |
| R3L: Connecting Deep Reinforcement Learning To Recurrent Neural Networks for Image Denoising | via | Residual Recovery |
| Radar and Rain Gauge Merging-Based Precipitation Estimation | via | Geographical-Temporal Attention Continuous Conditional Random Field |
| Radar Camera Fusion | via | Representation Learning in Autonomous Driving |
| Radar Echo Reconstruction in Oceanic Area | via | Deep Learning of Satellite Data |
| Radar Target Tracking | via | Robust Linear Filtering |
| Radio-frequency interference separation and suppression from ultrawideband radar data | via | low-rank modeling |
| Radiological Assessment on Interest Areas on the Sellafield Nuclear Site | via | Unmanned Aerial Vehicle |
| Radiometric Evaluation of SNPP VIIRS Band M11 | via | Sub-Kilometer Intercomparison with Aqua MODIS Band 7 over Snowy Scenes |
| Radon Inversion | via | Deep Learning |
| Radon Transform Inversion | via | Wiener Filtering over the Euclidean Motion Group |
| Rail transit OD-matrix completion | via | manifold regularized tensor factorisation |
| Railway Traffic Conflict Detection | via | a State Transition Prediction Approach |
| Rain removal | via | residual generation cascading |
| Rain Streaks Removal for Single Image | via | Directional Total Variation Regularization |
| RainGAN: Unsupervised Raindrop Removal | via | Decomposition and Composition |
| Raising Awareness about Space | via | Vibro-Tactile Notifications |
| Random feature maps | via | a Layered Random Projection (LARP) framework for object classification |
| Random Forest Classification of Inundation Following Hurricane Florence (2018) | via | L-Band Synthetic Aperture Radar and Ancillary Datasets |
| Random hand gesture authentication | via | efficient Temporal Segment Set Network |
| Randomized Adversarial Training | via | Taylor Expansion |
| Range estimation | via | multi-dimensional segmentation |
| Range Image Enhancement | via | One-Dimensional Spatial Filtering |
| Range-Ambiguous Clutter Suppression | via | FDA MIMO Planar Array Radar with Compressed Sensing |
| Range-Angle Decoupling and Estimation for FDA-MIMO Radar | via | Atomic Norm Minimization and Accelerated Proximal Gradient |
| Range-Data-Based Object Surface Segmentation | via | Edges and Critical-Points |
| RANK-NOSH: Efficient Predictor-Based Architecture Search | via | Non-Uniform Successive Halving |
| Ranking 3D feature correspondences | via | consistency voting |
| Ranks for Pairs of Spatial Fields | via | Metric Based on Grayscale Morphological Distances |
| RAO-UNet: a residual attention and octave UNet for road crack detection | via | balance loss |
| Rapid and large-scale mapping of flood inundation | via | integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning |
| Rare Events | via | Cross-Entropy Population Monte Carlo |
| RAST: Restorable Arbitrary Style Transfer | via | Multi-restoration |
| Rate control for low-bit-rate video | via | variable-encoding frame rates |
| Rate Control | via | Adjustment of Lagrange Multiplier for Video Coding |
| Rate-Compatible Codes | via | Recursive BMST for Content-Sharing in Intelligent Vehicular Network |
| Rate-distortion analysis of discrete-HMM pose estimation | via | multiaspect scattering data |
| Rating prediction | via | generative convolutional neural networks based regression |
| Raw-guided Enhancing Reprocess of Low-light Image | via | Deep Exposure Adjustment |
| Ray tracing | via | GPU rasterization |
| Rayleigh-Rice Mixture Parameter Estimation | via | EM Algorithm for Change Detection in Multispectral Images |
| RCD-SGD: Resource-Constrained Distributed SGD in Heterogeneous Environment | via | Submodular Partitioning |
| RCsearcher: Reaction center identification in retrosynthesis | via | deep Q-learning |
| RD-GAN: Few/zero-shot Chinese Character Style Transfer | via | Radical Decomposition and Rendering |
| RDA: Robust Domain Adaptation | via | Fourier Adversarial Attacking |
| RDO-Q: Extremely Fine-Grained Channel-Wise Quantization | via | Rate-Distortion Optimization |
| Re-basin | via | implicit Sinkhorn differentiation |
| Re-GAN: Data-Efficient GANs Training | via | Architectural Reconfiguration |
| Re-Ranking | via | Metric Fusion for Object Retrieval and Person Re-Identification |
| Real Image Denoising | via | Guided Residual Estimation and Noise Correction |
| Real Time Aerial Video Stitching | via | Sensor Refinement and Priority Scan |
| Real Time Head Tracking | via | Camera Saccade and Shape-Fitting |
| Real-time 3-D image analysis | via | Jacobi moments |
| Real-Time 3D Facial Tracking | via | Cascaded Compositional Learning |
| Real-Time Activity Detection of Human Movement in Videos | via | Smartphone Based on Synthetic Training Data |
| Real-Time and Robust Object Tracking in Video | via | Low-Rank Coherency Analysis in Feature Space |
| Real-time assessment of bone structure positions | via | ultrasound imaging |
| Real-time camera pose estimation | via | line tracking |
| Real-time Compression Artifact Reduction | via | Robust Nonlinear Filtering |
| Real-Time Correlation Tracking | via | Joint Model Compression and Transfer |
| Real-time deep image super-resolution | via | global context aggregation and local queue jumping |
| Real-Time Deep Tracking | via | Corrective Domain Adaptation |
| Real-time detection | via | homography mapping of foreground polygons from multiple cameras |
| Real-time dissection of organs | via | hybrid coupling of geometric metaballs and physics-centric mesh-free method |
| Real-time estimation for the parameters of Gaussian filtering | via | deep learning |
| Real-Time Face Detection and Recognition | via | Local Binary Pattern Plus Sample Selective Biomimetic Pattern Recognition |
| Real-Time Face Identification | via | CNN and Boosted Hashing Forest |
| Real-time foreground segmentation | via | range and color imaging |
| Real-Time Generic Object Tracking | via | Recurrent Regression Network |
| Real-Time Global Localization of Robotic Cars in Lane Level | via | Lane Marking Detection and Shape Registration |
| Real-Time Grayscale-Thermal Tracking | via | Laplacian Sparse Representation |
| Real-Time Hierarchical Supervoxel Segmentation | via | a Minimum Spanning Tree |
| Real-Time Holding Control for Transfer Synchronization | via | Robust Multiagent Reinforcement Learning |
| Real-Time Human Pose Estimation | via | Cascaded Neural Networks Embedded with Multi-task Learning |
| Real-time Hyperspectral Imaging in Hardware | via | Trained Metasurface Encoders |
| Real-time Image Enhancer | via | Learnable Spatial-aware 3D Lookup Tables |
| Real-time infrared pedestrian detection | via | sparse representation |
| Real-time life logging | via | a depth silhouette-based human activity recognition system for smart home services |
| Real-Time Light Field Depth Estimation | via | GPU-Accelerated Muti-View Semi-Global Matching |
| Real-time local stereo | via | edge-aware disparity propagation |
| Real-Time Low-Cost Omni-Directional Stereo Vision | via | Bi-polar Spherical Cameras |
| Real-Time Monocular Depth Estimation Using Synthetic Data with Domain Adaptation | via | Image Style Transfer |
| Real-Time Multipedestrian Tracking in Traffic Scenes | via | an RGB-D-Based Layered Graph Model |
| Real-Time Non-rigid Shape Recovery | via | Active Appearance Models for Augmented Reality |
| Real-Time Object Specific Recognition | via | Raster Scan Video Processing |
| Real-Time Object Tracking | via | Fusion of Global and Local Appearance Models |
| Real-Time Object Tracking | via | Online Discriminative Feature Selection |
| Real-time object tracking | via | optimal feature subspace |
| Real-time outdoor video surveillance with robust foreground extraction and object tracking | via | multi-state transition management |
| Real-time part-based visual tracking | via | adaptive correlation filters |
| Real-Time Point Cloud Object Detection | via | Voxel-Point Geometry Abstraction |
| Real-Time Quality Assessment of Pediatric MRI | via | Semi-Supervised Deep Nonlocal Residual Neural Networks |
| Real-Time Robot Path Planning | via | a Distance-Propagating Dynamic System with Obstacle Clearance |
| Real-time robust tracking | via | sparse representation: A mode-seeking approach |
| Real-Time Scalable Visual Tracking | via | Quadrangle Kernelized Correlation Filters |
| Real-time seed sorting system | via | 2D information entropy-based CNN pruning and TensorRt acceleration |
| Real-Time Semantic Scene Completion | via | Feature Aggregation And Conditioned Prediction |
| Real-Time Semantic Segmentation | via | Auto Depth, Downsampling Joint Decision and Feature Aggregation |
| Real-time Semantic Segmentation | via | Region and Pixel Context Network |
| Real-time Spatio-temporal Action Localization | via | Learning Motion Representation |
| Real-time Tracking in Satellite Videos | via | Joint Discrimination And Pose Estimation |
| Real-Time Tracking | via | Deformable Structure Regression Learning |
| Real-Time Tracking | via | On-line Boosting |
| Real-Time Uncertainty Estimation in Computer Vision | via | Uncertainty-Aware Distribution Distillation |
| Real-Time Video Deraining | via | Global Motion Compensation and Hybrid Multi-Scale Temporal Correlations |
| Real-Time Video Inference on Edge Devices | via | Adaptive Model Streaming |
| Real-time Visual Tracking | via | Incremental Covariance Tensor Learning |
| Real-Time Visual Tracking | via | Online Weighted Multiple Instance Learning |
| Real-Time, Accurate, and Consistent Video Semantic Segmentation | via | Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device |
| Real-world Cross-modal Retrieval | via | Sequential Learning |
| Real-world gender classification | via | local Gabor binary pattern and three-dimensional face reconstruction by generic elastic model |
| Real-World Image Super-Resolution | via | Kernel Augmentation And Stochastic Variation |
| Real-World Person Re-Identification | via | Degradation Invariance Learning |
| Real-world remote sensing image super-resolution | via | a practical degradation model and a kernel-aware network |
| Real-World Super-Resolution | via | Kernel Estimation and Noise Injection |
| Realistic action recognition | via | sparsely-constructed Gaussian processes |
| Realistic colorization | via | the structure tensor |
| Realistic Crowds | via | Motion Capture and Cell Marking |
| Realistic Full-Body Tracking from Sparse Observations | via | Joint-Level Modeling |
| Realization of Digraph Filters | via | Augmented GFT |
| Reason Generation for Point of Interest Recommendation | via | a Hierarchical Attention-Based Transformer Model |
| Rebuilding Visual Vocabulary | via | Spatial-temporal Context Similarity for Video Retrieval |
| Reciprocal Teacher-Student Learning | via | Forward and Feedback Knowledge Distillation |
| Recognising Human-Object Interaction | via | Exemplar Based Modelling |
| Recognition and retrieval | via | histogram trees |
| Recognition by association | via | learning per-exemplar distances |
| Recognition of 3-D Objects | via | Spatial Understanding of 2-D Images |
| Recognition of Blurred Faces | via | Facial Deblurring Combined with Blur-Tolerant Descriptors |
| Recognition of Chinese artists | via | windowed and entropy balanced fusion in classification of their authored ink and wash paintings (IWPs) |
| Recognition of Digital Images of the Human Face at Ultra Low Resolution | via | Illumination Spaces |
| Recognition of handprinted chinese characters | via | stroke relaxation |
| Recognition of Handwritten Chinese Characters | via | Short Line Segments |
| Recognition of Temporal Structures: Learning Prior and Propagating Observation Augmented Densities | via | Hidden Markov States |
| Recognition | via | Consensus of Local Moments of Brightness and Orientation |
| Recognizing actions | via | sparse coding on structure projection |
| Recognizing Activities | via | Bag of Words for Attribute Dynamics |
| Recognizing Chromospheric Objects | via | Markov Chain Monte Carlo |
| Recognizing City Identity | via | Attribute Analysis of Geo-tagged Images |
| Recognizing handwritten mathematical expressions | via | paired dual loss attention network and printed mathematical expressions |
| Recognizing irregular entities in biomedical text | via | deep neural networks |
| Recognizing Multiple Objects | via | Regression Incorporating the Co-occurrence of Categories |
| Recognizing Noisy Patterns | via | Iterative Optimization and Matching of Their Descriptions |
| Recognizing offensive tactics in broadcast basketball videos | via | key player detection |
| Recognizing On-Line Handwritten Chinese Character | via | FARG Matching |
| Recognizing semantic correlation in image-text Weibo | via | feature space mapping |
| Recognizing Shapes | via | Random Chord Samplings |
| Recognizing Social Relationships in Long Videos | via | Multimodal Character Interaction |
| RECON: Scale-adaptive robust estimation | via | Residual Consensus |
| Reconfigurable cyber-physical system for critical infrastructure protection in smart cities | via | smart video-surveillance |
| Reconstruct and Represent Video Contents for Captioning | via | Reinforcement Learning |
| Reconstructing 3D Face Model with Associated Expression Deformation from a Single Face Image | via | Constructing a Low-Dimensional Expression Deformation Manifold |
| Reconstruction of Binary Shapes From Blurred Images | via | Hankel-Structured Low-Rank Matrix Recovery |
| Reconstruction of Inextensible Surfaces on a Budget | via | Bootstrapping |
| Reconstruction of multiple overlapping surfaces | via | standard regularization techniques |
| Reconstruction of Three-Dimensional (3D) Indoor Interiors with Multiple Stories | via | Comprehensive Segmentation |
| Recover Fair Deep Classification Models | via | Altering Pre-trained Structure |
| Recovering 3D facial shape | via | coupled 2D/3D space learning |
| Recovering 3D Planes from a Single Image | via | Convolutional Neural Networks |
| Recovering consistent video depth maps | via | bundle optimization |
| Recovering Generalization | via | Pre-Training-Like Knowledge Distillation for Out-of-Distribution Visual Question Answering |
| Recovering Scene Geometry under Wavy Fluid | via | Distortion and Defocus Analysis |
| Recovering Texture of Denoised Image | via | its Statistical Analysis |
| Recovering thin structures | via | nonlocal-means regularization with application to depth from defocus |
| Recovery of Binary Sparse Signals From Compressed Linear Measurements | via | Polynomial Optimization |
| Recovery of corrupted low-rank matrices | via | half-quadratic based nonconvex minimization |
| Recovery of urban 3D road boundary | via | multi-source data |
| Rectifying Pseudo Label Learning | via | Uncertainty Estimation for Domain Adaptive Semantic Segmentation |
| Recursive MDL | via | graph cuts: Application to segmentation |
| Recursive multi-model complementary deep fusion for robust salient object detection | via | parallel sub-networks |
| Recursive projection twin support vector machine | via | within-class variance minimization |
| Recursive SURE for image recovery | via | total variation minimization |
| RED++: Data-Free Pruning of Deep Neural Networks | via | Input Splitting and Output Merging |
| Redefining prior feature space | via | finetuning a triplet network for few-shot learning |
| Reduced complexity Retinex algorithm | via | the variational approach |
| Reduced Storage VQ | via | Secondary Quantization |
| Reduced-Reference Quality Assessment of Point Clouds | via | Content-Oriented Saliency Projection |
| Reducing Basis Mismatch in Harmonic Signal Recovery | via | Alternating Convex Search |
| Reducing communication in federated learning | via | efficient client sampling |
| Reducing Navigators in Free-Breathing Abdominal MRI | via | Temporal Interpolation Using Convolutional Neural Networks |
| Reducing the Complexity of Model-Based MRI Reconstructions | via | Sparsification |
| Redundant image representation | via | multi-scale digital Radon projections |
| ReenactGAN: Learning to Reenact Faces | via | Boundary Transfer |
| Reference guided image super-resolution | via | efficient dense warping and adaptive fusion |
| Reference Pose Generation for Long-term Visual Localization | via | Learned Features and View Synthesis |
| Reference Tracking Optimization With Obstacle Avoidance | via | Task Prioritization for Automated Driving |
| Reference-Based Image and Video Super-Resolution | via | C^2-Matching |
| Reference-Free Quality Assessment of Sonar Images | via | Contour Degradation Measurement |
| Reference-Guided Deep Super-Resolution | via | Manifold Localized External Compensation |
| Referring Expression Generation and Comprehension | via | Attributes |
| Referring Image Segmentation | via | Cross-Modal Progressive Comprehension |
| Referring Image Segmentation | via | Recurrent Refinement Networks |
| Referring Segmentation | via | Encoder-Fused Cross-Modal Attention Network |
| Refine Myself by Teaching Myself: Feature Refinement | via | Self-Knowledge Distillation |
| Refined Deep Learning for Digital Objects Recognition | via | Betti Invariants |
| Refined Fractional-Order Fault-Tolerant Coordinated Tracking Control of Networked Fixed-Wing UAVs Against Faults and Communication Delays | via | Double Recurrent Perturbation FNNs |
| Refinement and Universal Approximation | via | Sparsely Connected ReLU Convolution Nets |
| Refining pre-image | via | error compensation for KPCA-based pattern de-noising |
| Refining Urban Built-Up Area | via | Multi-Source Data Fusion for the Analysis of Dongting Lake Eco-Economic Zone Spatiotemporal Expansion |
| Reflectance and Fluorescence Spectral Recovery | via | Actively Lit RGB Images |
| Reflection and Rotation Symmetry Detection | via | Equivariant Learning |
| Reflection Removal for Stele Images | via | Sparse Signal Decomposition |
| Reflection removal using disparity and gradient-sparsity | via | smoothing algorithm |
| Reflection Separation | via | Multi-bounce Polarization State Tracing |
| Reflection Symmetry Detection | via | Appearance of Structure Descriptor |
| Refocusing of Moving Targets in SAR Images | via | Parametric Sparse Representation |
| RefRec: Pseudo-labels Refinement | via | Shape Reconstruction for Unsupervised 3D Domain Adaptation |
| Region based foreground segmentation combining color and depth sensors | via | logarithmic opinion pool decision |
| Region Competition | via | Local Watershed Operators |
| Region correspondence for image matching | via | EMD flow |
| Region Proposal Ranking | via | Fusion Feature for Object Detection |
| Region saliency detection | via | multi-feature on absorbing Markov chain |
| Region Segmentation | via | Deformable Model-Guided Split and Merge |
| Region selection for occluded person re-identification | via | policy gradient |
| Region Tracking | via | HMMF in Joint Feature-Spatial Space |
| Region Tracking | via | Level Set PDEs without Motion Computation |
| Region tracking | via | local statistics and level set PDEs |
| Region-Adaptive Deformable Registration of CT/MRI Pelvic Images | via | Learning-Based Image Synthesis |
| Region-Aware Image Captioning | via | Interaction Learning |
| Region-Based Anomaly Localisation in Crowded Scenes | via | Trajectory Analysis and Path Prediction |
| Region-Based Correspondence Between 3D Shapes | via | Spatially Smooth Biclustering |
| Region-Based Dehazing | via | Dual-Supervised Triple-Convolutional Network |
| Region-based image segmentation evaluation | via | perceptual pooling strategies |
| Region-based image segmentation | via | graph cuts |
| Region-Based Segmentation | via | Non-Rigid Template Matching |
| Regional Assessment of Cardiac Left Ventricular Myocardial Function | via | MRI Statistical Features |
| Regisration of hyperspectral and trichromatic images | via | cross cumulative residual entropy maximisation |
| Registering Retinal Vessel Images from Local to Global | via | Multiscale and Multicycle Features |
| Registration of multi-dimensional image data | via | sub-pixel resolution phase correlation |
| Registration of Noisy Images | via | Maximum A-Posteriori Estimation |
| Registration of Terrestrial Laser Scans | via | Image Based Features |
| Registration of under-sampled images | via | higher resolution spectrum restoration |
| Registration | via | Direct Methods: A Statistical Approach |
| Regression Facial Attribute Classification | via | simultaneous dictionary learning |
| RegularFace: Deep Face Recognition | via | Exclusive Regularization |
| Regularisation of the limited data computed tomography problem | via | the boundary element method |
| Regularised, semi-local hurst estimation | via | generalised lasso and dual-tree complex wavelets |
| Regularising neural networks for future trajectory prediction | via | inverse reinforcement learning framework |
| Regularization by Denoising | via | Fixed-Point Projection (RED-PRO) |
| Regularization Strategy for Point Cloud | via | Rigidly Mixed Sample |
| Regularization | via | Deep Generative Models: An Analysis Point of View |
| Regularized Covariance Matrix Estimation | via | Empirical Bayes |
| Regularized Estimation of Magnitude and Phase of Multi-Coil B_1 Field | via | Bloch-Siegert B_1 Mapping and Coil Combination Optimizations |
| Regularized logistic regression method for change detection in multispectral data | via | Pathwise Coordinate optimization |
| Regularized Multinomial Regression Method for Hyperspectral Data Classification | via | Pathwise Coordinate Optimization |
| Regularizing Class-Wise Predictions | via | Self-Knowledge Distillation |
| Regularizing Meta-learning | via | Gradient Dropout |
| Regularizing Neural Networks | via | Adversarial Model Perturbation |
| Regularizing Neural Networks | via | Minimizing Hyperspherical Energy |
| Reinforcement Learning | via | Recurrent Convolutional Neural Networks |
| Reinforcing Generated Images | via | Meta-Learning for One-Shot Fine-Grained Visual Recognition |
| Reinforcing Neuron Extraction from Calcium Imaging Data | via | Depth-Estimation Constrained Nonnegative Matrix Factorization |
| Reinitialization-Free Level Set Evolution | via | Reaction Diffusion |
| Relating Things and Stuff | via | ObjectProperty Interactions |
| Relating View Directions of Complementary-View Mobile Cameras | via | the Human Shadow |
| Relation-aware attention for video captioning | via | graph learning |
| Relational Reasoning for Group Activity Recognition | via | Self-Attention Augmented Conditional Random Field |
| Relaxation-Free Deep Hashing | via | Policy Gradient |
| Relaxed sparse eigenvalue conditions for sparse estimation | via | non-convex regularized regression |
| Relaying scene information to the blind | via | sound using cartoon depth maps |
| RelGAN: Multi-Domain Image-to-Image Translation | via | Relative Attributes |
| Reliability-Aware Prediction | via | Uncertainty Learning for Person Image Retrieval |
| Reliable and Efficient UAV Image Matching | via | Geometric Constraints Structured by Delaunay Triangulation |
| Reliable Depth Map Regeneration | via | a Novel Omnidirectional Stereo Sensor |
| Reliable Feature Matching for Spherical Images | via | Local Geometric Rectification and Learned Descriptor |
| Reliable image matching | via | photometric and geometric constraints structured by Delaunay triangulation |
| Reliable Multimodal Trajectory Prediction | via | Error Aligned Uncertainty Optimization |
| Reliable recovery of piled box-like objects | via | parabolically deformable superquadrics |
| Reliable Shot Identification for Complex Event Detection | via | Visual-Semantic Embedding |
| Reliably fast adversarial training | via | latent adversarial perturbation |
| Relieving Long-tailed Instance Segmentation | via | Pairwise Class Balance |
| Relightify: Relightable 3D Faces from a Single Image | via | Diffusion Models |
| Remote Prediction of Oilseed Rape Yield | via | Gaofen-1 Images and a Crop Model |
| Remote Sensing Estimation of Regional NO2 | via | Space-Time Neural Networks |
| Remote Sensing Image Dehazing | via | a Local Context-Enriched Transformer |
| Remote Sensing Image Denoising | via | Low-Rank Tensor Approximation and Robust Noise Modeling |
| Remote sensing image fusion | via | compressive sensing |
| Remote Sensing Image Fusion | via | Sparse Representations Over Learned Dictionaries |
| Remote sensing image fusion | via | wavelet transform and sparse representation |
| Remote Sensing Image Information Quality Evaluation | via | Node Entropy for Efficient Classification |
| Remote sensing image interpolation | via | the nonsubsampled contourlet transform |
| Remote Sensing Image Scene Classification | via | Label Augmentation and Intra-Class Constraint |
| Remote Sensing Image Scene Classification | via | Multi-Level Representation Learning |
| Remote Sensing Image Scene Classification | via | Self-Supervised Learning and Knowledge Distillation |
| Remote Sensing Image Super-Resolution | via | Mixed High-Order Attention Network |
| Remote Sensing Image Super-Resolution | via | Multi-Scale Texture Transfer Network |
| Remote Sensing Image Super-Resolution | via | Residual-Dense Hybrid Attention Network |
| Remote Sensing Image Super-Resolution | via | Saliency-Guided Feedback GANs |
| Remote Sensing Imagery and Signature Fields Reconstruction | via | Aggregation of Robust Regularization with Neural Computing |
| Remote Sensing Mapping of Build-Up Land with Noisy Label | via | Fault-Tolerant Learning |
| Remote Sensing Scene Classification | via | Multi-Branch Local Attention Network |
| Remote Sensing Techniques To Assess Post-fire Effects at the Hillslope and Sub-Basin Scales | via | Multi-scale Model |
| Removal of Large-Scale Stripes | via | Unidirectional Multiscale Decomposition |
| Removing Adversarial Noise | via | Low-Rank Completion of High-Sensitivity Points |
| Removing Arbitrary-Scale Rain Streaks | via | Fractal Band Learning With Self-Supervision |
| Removing Atmospheric Turbulence Effects | via | Geometric Distortion and Blur Representation |
| Removing Atmospheric Turbulence | via | Deep Adversarial Learning |
| Removing Atmospheric Turbulence | via | Space-Invariant Deconvolution |
| Removing Camera Shake | via | Weighted Fourier Burst Accumulation |
| Removing Clouds and Recovering Ground Observations in Satellite Image Sequences | via | Temporally Contiguous Robust Matrix Completion |
| Removing Diffraction Image Artifacts in Under-Display Camera | via | Dynamic Skip Connection Network |
| Removing Haze Particles From Single Image | via | Exponential Inference With Support Vector Data Description |
| Removing Rain from a Single Image | via | Discriminative Sparse Coding |
| Removing Rain from Single Images | via | a Deep Detail Network |
| Removing ring artifacts in CBCT images | via | L0 smoothing |
| Removing Turbulence Effect | via | Hybrid Total Variation and Deformation-Guided Kernel Regression |
| Renal Segmentation From 3D Ultrasound | via | Fuzzy Appearance Models and Patient-Specific Alpha Shapes |
| Rendering Nighttime Image | via | Cascaded Color and Brightness Compensation |
| Renewable Energy Re-Distribution | via | Multiscale IoT for 6G-Oriented Green Highway Management |
| Repeatability Is Not Enough: Learning Affine Regions | via | Discriminability |
| RepNet: Efficient On-Device Learning | via | Feature Reprogramming |
| RePOSE: Fast 6D Object Pose Refinement | via | Deep Texture Rendering |
| Representation Learning | via | Global Temporal Alignment and Cycle-Consistency |
| Representative Learning | via | Span-Based Mutual Information for PolSAR Image Classification |
| Representing Edge Models | via | Local Principal Component Analysis |
| Representing Graphs | via | Gromov-Wasserstein Factorization |
| Representing Images in 200 Bytes: Compression | via | Triangulation |
| Reproducing Sensory Induced Hallucinations | via | Neural Fields |
| RERBEE: Robust Efficient Registration | via | Bifurcations and Elongated Elements Applied to Retinal Fluorescein Angiogram Sequences |
| RES-StS: Referring Expression Speaker | via | Self-Training With Scorer for Goal-Oriented Vision-Language Navigation |
| Resisting Large Data Variations | via | Introspective Transformation Network |
| Resistivity Tensor Imaging | via | Network Discretization of Faraday's Law |
| Resolution Enhancement for Inversed Synthetic Aperture Radar Imaging Under Low SNR | via | Improved Compressive Sensing |
| Resolution enhancement of textual images | via | multiple coupled dictionaries and adaptive sparse representation selection |
| Resolution enhancement | via | probabilistic deconvolution of multiple degraded images |
| Resolution Scalable Lossless Progressive Image Coding | via | Conditional Quadrisection |
| Resolving Copycat Problems in Visual Imitation Learning | via | Residual Action Prediction |
| Resolving Scale Ambiguity | via | XSlit Aspect Ratio Analysis |
| Resolving Zero-Shot and Fact-Based Visual Question Answering | via | Enhanced Fact Retrieval |
| Respiratory rate estimation | via | simultaneously tracking and segmentation |
| ResRep: Lossless CNN Pruning | via | Decoupling Remembering and Forgetting |
| ReStGAN: A step towards visually guided shopper experience | via | text-to-image synthesis |
| Restoration of images corrupted by mixed Gaussian-impulse noise | via | l1-l0 minimization |
| Restoration of randomly blurred images | via | the maximum a posteriori criterion |
| RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration | via | Explainable AI Systems |
| ReStyle: A Residual-Based StyleGAN Encoder | via | Iterative Refinement |
| Rethinking Attentive Object Detection | via | Neural Attention Learning |
| Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images | via | GANs |
| Rethinking Efficient Lane Detection | via | Curve Modeling |
| Rethinking Graph Contrastive Learning: An Efficient Single-View Approach | via | Instance Discrimination |
| Rethinking Image Deraining | via | Rain Streaks and Vapors |
| Rethinking Image Inpainting | via | a Mutual Encoder-decoder with Feature Equalizations |
| Rethinking Lightweight Salient Object Detection | via | Network Depth-Width Tradeoff |
| Rethinking Low-Light Enhancement | via | Transformer-GAN |
| Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator | via | Coordinate Alignment |
| Rethinking precision of pseudo label: Test-time adaptation | via | complementary learning |
| Rethinking Visibility in Human Pose Estimation: Occluded Pose Reasoning | via | Transformers |
| Retina-Like Visual Image Reconstruction | via | Spiking Neural Model |
| Retinal Artery-Vein Classification | via | Topology Estimation |
| Retinal blood vessel segmentation | via | graph cut |
| Retinal Image Classification | via | Vasculature-Guided Sequential Attention |
| Retinal Image Registration | via | Feature-Guided Gaussian Mixture Model |
| Retinal Structure Detection in OCTA Image | via | Voting-Based Multitask Learning |
| Retinal Vascular Network Topology Reconstruction and Artery/Vein Classification | via | Dominant Set Clustering |
| Retinal vessel enhancement | via | sparse coding and dictionary learning |
| Retinal vessel segmentation | via | Iterative Geodesic Time Transform |
| Retrieval of Land-Use/Land Cover Change (LUCC) Maps and Urban Expansion Dynamics of Hyderabad, Pakistan | via | Landsat Datasets and Support Vector Machine Framework |
| Retrieval of Marine Surface Slick Dielectric Properties From Radarsat-2 Data | via | a Polarimetric Two-Scale Model |
| Retrieval of Music-Notation Primitives | via | Image-to-Sequence Approaches |
| Retrieval of Polarimetric Azimuthal Angular Characteristics | via | the Application of Target Decomposition to Spectral Domain Circular SAR Images |
| Retrieval of Rashi Semi-cursive Handwriting | via | Fuzzy Logic |
| Retrieval of Sentence Sequences for an Image Stream | via | Coherence Recurrent Convolutional Networks |
| Retrieval of Tree Height Percentiles over Rugged Mountain Areas | via | Target Response Waveform of Satellite Lidar |
| Retrieval-based cartoon gesture recognition and applications | via | semi-supervised heterogeneous classifiers learning |
| RetrieveGAN: Image Synthesis | via | Differentiable Patch Retrieval |
| Retrieving Doppler Frequency | via | Local Correlation Method of Segmented Modeling |
| Retrieving Root-Zone Soil Moisture Profile From P-Band Radar | via | Hybrid Global and Local Optimization |
| Retweet Wars: Tweet Popularity Prediction | via | Dynamic Multimodal Regression |
| Reverberant Audio Source Separation | via | Sparse and Low-Rank Modeling |
| Reversible Data Hiding in Encrypted Image | via | Secret Sharing Based on GF(p) and GF(28) |
| Reversible Data Hiding Over Encrypted Images | via | Preprocessing-Free Matrix Secret Sharing |
| Reversible Data Hiding | via | Arranging Blocks of Bit-planes in Encrypted Images |
| Reversible visual transformation | via | exploring the correlations within color images |
| Review On Measuring Entrepreneurs' Social Behaviour | via | Spatial Analysis Techniques, A |
| Revisiting Finite-Time Distributed Algorithms | via | Successive Nulling of Eigenvalues |
| Revisiting image captioning | via | maximum discrepancy competition |
| Revisiting Knowledge Distillation | via | Label Smoothing Regularization |
| Revisiting the transferability of adversarial examples | via | source-agnostic adversarial feature inducing method |
| Revisiting Unsupervised Meta-Learning | via | the Characteristics of Few-Shot Tasks |
| RF-Based Drone Detection Enhancement | via | a Generalized Denoising and Interference-Removal Framework |
| RFI Mitigation for UWB Radar | via | Hyperparameter-Free Sparse SPICE Methods |
| RFI Suppression for SAR | via | a Dictionary-Based Nonconvex Low-Rank Minimization Framework and Its Adaptive Implementation |
| RGB depth salient object detection | via | cross-modal attention and boundary feature guidance |
| RGB to Spectral Reconstruction | via | Learned Basis Functions and Weights |
| RGB-D face recognition under various conditions | via | 3D constrained local model |
| RGB-D Face Recognition | via | Deep Complementary and Common Feature Learning |
| RGB-D Object Recognition | via | Incorporating Latent Data Structure and Prior Knowledge |
| RGB-D Saliency Detection | via | Cascaded Mutual Information Minimization |
| RGB-D saliency detection | via | mutual guided manifold ranking |
| RGB-D Salient Object Detection | via | Minimum Barrier Distance Transform and Saliency Fusion |
| RGB-D scene classification | via | heterogeneous model fusion |
| RGB-Infrared Cross-Modality Person Re-Identification | via | Joint Pixel and Feature Alignment |
| RGB-Infrared Person Re-identification | via | Image Modality Conversion |
| RGB-Infrared Person Re-Identification | via | Multi-Modality Relation Aggregation and Graph Convolution Network |
| RGB-T Image Saliency Detection | via | Collaborative Graph Learning |
| RGB-T Saliency Detection | via | Low-Rank Tensor Learning and Unified Collaborative Ranking |
| RGB-T Salient Object Detection | via | Fusing Multi-Level CNN Features |
| RGB-X Object Detection | via | Scene-Specific Fusion Modules |
| RGBD Camera Based Material Recognition | via | Surface Roughness Estimation |
| RGBD Co-Saliency Detection | via | Bagging-Based Clustering |
| RGBD Salient Object Detection | via | Deep Fusion |
| RGBD Salient Object Detection | via | Disentangled Cross-Modal Fusion |
| RGBD2: Generative Scene Synthesis | via | Incremental View Inpainting Using RGBD Diffusion Models |
| RGBT Tracking | via | Challenge-Based Appearance Disentanglement and Interaction |
| RGBT Tracking | via | Multi-Adapter Network with Hierarchical Divergence Loss |
| Rhythmic Brushstrokes Distinguish van Gogh from His Contemporaries: Findings | via | Automated Brushstroke Extraction |
| RhythmNet: End-to-End Heart Rate Estimation From Face | via | Spatial-Temporal Representation |
| RIDCP: Revitalizing Real Image Dehazing | via | High-Quality Codebook Priors |
| Ridge Network Detection in Crumpled Paper | via | Graph Density Maximization |
| RidgeSfM: Structure from Motion | via | Robust Pairwise Matching Under Depth Uncertainty |
| RIFT: Disentangled Unsupervised Image Translation | via | Restricted Information Flow |
| Riggable 3D Face Reconstruction | via | In-Network Optimization |
| RIS-GAN: Self-Supervised GANs | via | Recovering Initial State of Subimages |
| risk-averse learning machine | via | variance-dependent penalization, A |
| RISM: Single-Modal Image Registration | via | Rank-Induced Similarity Measure |
| River Planform Extraction From High-Resolution SAR Images | via | Generalized Gamma Distribution Superpixel Classification |
| RLGS Profile Segmentation | via | a SVM |
| RM3D: Robust Data-Efficient 3D Scene Parsing | via | Traditional and Learnt 3D Descriptors-Based Semantic Region Merging |
| RNN Training along Locally Optimal Trajectories | via | Frank-Wolfe Algorithm |
| Road Detection and Centerline Extraction | via | Deep Recurrent Convolutional Neural Network U-Net |
| Road detection | via | unsupervised feature learning |
| Road extraction from high resolution remote sensing image | via | a deep residual and pyramid pooling network |
| Road Extraction from Very-High-Resolution Remote Sensing Images | via | a Nested SE-Deeplab Model |
| Road Extraction from VHR Remote-Sensing Imagery | via | Object Segmentation Constrained by Gabor Features |
| Road extraction | via | adaptive graph cuts with multiple features |
| Road Intersection Recognition | via | Combining Classification Model and Clustering Algorithm Based on GPS Data |
| Road Network Extraction | via | Aperiodic Directional Structure Measurement |
| Road-Model-Based Road Boundary Extraction for High Definition Map | via | LIDAR |
| Road-Segmentation-Based Curb Detection Method for Self-Driving | via | a 3D-LiDAR Sensor |
| Roadmap for Generating Semantically Enriched Building Models According to CITYGML Model | via | Two Different Methodologies, A |
| RobotFusion: Grasping with a Robotic Manipulator | via | Multi-view Reconstruction |
| Robust 3-D Object Recognition | via | View-Specific Constraint |
| Robust 3D Face Shape Reconstruction from Single Images | via | Two-Fold Coupled Structure Learning and Off-the-Shelf Landmark Detectors |
| Robust 3D human pose estimation | via | dual dictionaries learning |
| Robust 3D Shape Classification | via | Non-local Graph Attention Network |
| Robust Absolute Rotation Estimation | via | Low-Rank and Sparse Matrix Decomposition |
| Robust Action Recognition | via | Borrowing Information Across Video Modalities |
| Robust Adaptive Beamforming | via | Covariance Matrix Reconstruction Under Colored Noise |
| Robust Alignment for Panoramic Stitching | via | an Exact Rank Constraint |
| Robust alignment of wide baseline terrestrial laser scans | via | 3D viewpoint normalization |
| Robust and Accurate Object Detection | via | Adversarial Learning |
| Robust and Accurate Object Detection | via | Self-Knowledge Distillation |
| Robust and accurate online pose estimation algorithm | via | efficient three-dimensional collinearity model |
| Robust and Adaptive Object Tracking | via | Correspondence Clustering |
| Robust and automatic video colorization | via | multiframe reordering refinement |
| Robust and Efficient Camera Motion Synchronization | via | Matrix Decomposition |
| Robust and Efficient Subspace Segmentation | via | Least Squares Regression |
| Robust and Energy Efficient Multimedia Systems | via | Likelihood Processing |
| Robust and Fast Moving Object Detection in a Non-Stationary Camera | via | Foreground Probability Based Sampling |
| Robust and Fast Vehicle Turn-counts at Intersections | via | an Integrated Solution from Detection, Tracking and Trajectory Modeling |
| Robust and Fast Vessel Segmentation | via | Gaussian Derivatives in Orientation Scores |
| Robust and Optimal Registration of Image Sets and Structured Scenes | via | Sum-of-Squares Polynomials |
| Robust and Practical Face Recognition | via | Structured Sparsity |
| Robust and Scalable Vehicle Re-Identification | via | Self-Supervision |
| Robust and Unobtrusive Display-to-Camera Communications | via | Blue Channel Embedding |
| Robust Approach for Smile Recognition | via | Deep Convolutional Neural Networks, A |
| Robust Attentional Pooling | via | Feature Selection |
| Robust Camera Translation Estimation | via | Rank Enforcement |
| Robust Cloth Warping | via | Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework |
| Robust Coding of Encrypted Images | via | 2D Compressed Sensing |
| Robust coding of encrypted images | via | structural matrix |
| Robust Contour Matching | via | the Order-Preserving Assignment Problem |
| Robust control point detection for aerial synthetic aperture radar | via | a logarithmic quasi-random scale space framework |
| Robust correlation filter tracking | via | context fusion and subspace constraint |
| Robust Correlation Tracking for UAV Videos | via | Feature Fusion and Saliency Proposals |
| Robust Decision-Based Black-Box Adversarial Attack | via | Coarse-To-Fine Random Search |
| Robust depth estimation for light field | via | spinning parallelogram operator |
| Robust detection of dehazed images | via | dual-stream CNNs with adaptive feature fusion |
| Robust Detection of SAR/IR Targets | via | Invariance |
| Robust Digital Image Reconstruction | via | the Discrete Fourier Slice Theorem |
| Robust Discriminative Tracking | via | Landmark-Based Label Propagation |
| Robust discriminative tracking | via | query-by-bagging |
| Robust discriminative tracking | via | structured prior regularization |
| Robust Distance Metric Learning | via | Bayesian Inference |
| Robust Distracter-Resistive Tracker | via | Learning a Multi-Component Discriminative Dictionary |
| Robust domain adaptation image classification | via | sparse and low rank representation |
| Robust Downlink Transmit Optimization Under Quantized Channel Feedback | via | the Strong Duality for QCQP |
| Robust ellipse detection | via | arc segmentation and classification |
| Robust Ellipse Fitting | via | Half-Quadratic and Semidefinite Relaxation Optimization |
| Robust End-to-end Method for Parametric Curve Tracing | via | Soft Cosine-similarity-based Objective Function, A |
| Robust Estimation of Absolute Camera Pose | via | Intersection Constraint and Flow Consensus |
| Robust Estimation of Multiple Local Dips | via | Multidirectional Component Analysis |
| Robust Estimation of Texture Flow | via | Dense Feature Sampling |
| Robust Face Alignment Under Occlusion | via | Regional Predictive Power Estimation |
| Robust Face Alignment | via | Deep Progressive Reinitialization and Adaptive Error-Driven Learning |
| Robust Face Alignment | via | Inherent Relation Learning and Uncertainty Estimation |
| Robust Face Clustering | via | Tensor Decomposition |
| Robust Face Detection | via | Learning Small Faces on Hard Images |
| Robust Face Hallucination | via | Locality-Constrained Bi-Layer Representation |
| Robust Face Image Super-Resolution | via | Joint Learning of Subdivided Contextual Model |
| Robust Face Recognition | via | Accurate Face Alignment and Sparse Representation |
| Robust Face Recognition | via | Adaptive Sparse Representation |
| Robust face recognition | via | double low-rank matrix recovery for feature extraction |
| Robust Face Recognition | via | Minimum Error Entropy-Based Atomic Representation |
| Robust Face Recognition | via | Multimodal Deep Face Representation |
| Robust face recognition | via | non-linear correlation filter bank |
| Robust face recognition | via | occlusion dictionary learning |
| Robust Face Recognition | via | Sparse Representation |
| Robust Face Super-Resolution | via | Position Relation Model Based on Global Face Context |
| Robust Face Tracking | via | Collaboration of Generic and Specific Models |
| Robust Facial Landmark Detection | via | a Fully-Convolutional Local-Global Context Network |
| Robust Facial Landmark Detection | via | Aggregation on Geometrically Manipulated Faces |
| Robust Facial Landmark Detection | via | Heatmap-Offset Regression |
| Robust Facial Landmark Detection | via | Occlusion-Adaptive Deep Networks |
| Robust Facial Landmark Detection | via | Recurrent Attentive-Refinement Networks |
| Robust facial landmark tracking | via | cascade regression |
| Robust Feature Extraction | via | L_inf-Norm Based Nonnegative Tucker Decomposition |
| Robust Feature Matching for Remote Sensing Image Registration | via | Guided Hyperplane Fitting |
| Robust Feature Matching for Remote Sensing Image Registration | via | Linear Adaptive Filtering |
| Robust Feature Matching for Remote Sensing Image Registration | via | Locally Linear Transforming |
| Robust feature matching | via | Gaussian field criterion for remote sensing image registration |
| Robust feature matching | via | neighborhood manifold representation consensus |
| Robust feature matching | via | progressive smoothness consensus |
| Robust feature matching | via | support-line voting and affine-invariant ratios |
| Robust feature selection | via | L2,1-norm in finite mixture of regression |
| Robust Federated Averaging | via | Outlier Pruning |
| Robust federated learning under statistical heterogeneity | via | Hessian spectral decomposition |
| Robust Foreground Estimation | via | Structured Gaussian Scale Mixture Modeling |
| Robust Foreground Object Segmentation | via | Adaptive Region-Based Background Modelling |
| Robust Framework for One-Shot Key Information Extraction | via | Deep Partial Graph Matching, A |
| Robust Fringe Projection Profilometry | via | Sparse Representation |
| Robust gait recognition | via | discriminative set matching |
| Robust Generalization Against Photon-Limited Corruptions | via | Worst-Case Sharpness Minimization |
| Robust head pose estimation | via | Convex Regularized Sparse Regression |
| Robust Homography Estimation | via | Dual Principal Component Pursuit |
| Robust Human Matting | via | Semantic Guidance |
| Robust Image and Video Dehazing with Visual Artifact Suppression | via | Gradient Residual Minimization |
| Robust Image Classification | via | Low-Rank Double Dictionary Learning |
| Robust image clustering | via | context-aware contrastive graph learning |
| Robust image compression-encryption | via | scrambled block bernoulli sampling with diffusion noise |
| Robust Image Fingerprinting | via | Distortion-Resistant Sparse Coding |
| Robust image hashing | via | colour vector angles and discrete wavelet transform |
| Robust image matching | via | local graph structure consensus |
| Robust Image Registration | via | Cepstral Analysis |
| Robust Image Restoration | via | Adaptive Low-Rank Approximation and Joint Kernel Regression |
| Robust Image Restoration | via | Reweighted Low-Rank Matrix Recovery |
| Robust image watermarking | via | geometrically invariant feature points and image normalisation |
| Robust indoor activity recognition | via | boosting |
| Robust Infrared Small Target Detection | via | Jointly Sparse Constraint of l1/2-Metric and Dual-Graph Regularization |
| Robust InSAR Phase Unwrapping Method | via | Improving the pix2pix Network, A |
| Robust InSAR Phase Unwrapping Method | via | Phase Gradient Estimation Network, A |
| Robust interactive image segmentation | via | iterative refinement |
| Robust kernel-based feature representation for 3D point cloud analysis | via | circular convolutional network |
| Robust Label Prediction | via | Label Propagation and Geodesic k-Nearest Neighbor in Online Semi-Supervised Learning |
| Robust Lane Detection | via | Expanded Self Attention |
| Robust Learning From Noisy Web Images | via | Data Purification for Fine-Grained Recognition |
| Robust Learning | via | Conditional Prevalence Adjustment |
| Robust Lensless Image Reconstruction | via | PSF Estimation |
| Robust level set image segmentation | via | a local correntropy-based K-means clustering |
| Robust line segment matching across views | via | ranking the line-point graph |
| Robust line segment matching | via | reweighted random walks on the homography graph |
| Robust linear representation | via | exploiting structure prior |
| Robust Localization of Retinal Lesions | via | Weakly-supervised Learning |
| Robust Loop Closure Detection Integrating Visual-Spatial-Semantic Information | via | Topological Graphs and CNN Features |
| Robust Low Rank Approxiamtion | via | Inliers Selection |
| Robust low tubal rank tensor completion | via | factor tensor norm minimization |
| Robust low tubal rank tensor recovery | via | L2E criterion |
| Robust Low-Dose CT Perfusion Deconvolution | via | Tensor Total-Variation Regularization |
| Robust Low-Dose CT Sinogram Preprocessing | via | Exploiting Noise-Generating Mechanism |
| Robust Low-Rank Matrix Recovery as Mixed Integer Programming | via | L_0-Norm Optimization |
| Robust Low-Rank Representation | via | Correntropy |
| Robust Low-Rank Tensor Minimization | via | a New Tensor Spectral k-Support Norm |
| Robust Low-Rank Tensor Recovery | via | Nonconvex Singular Value Minimization |
| Robust Manifold Learning | via | Conformity Pursuit |
| Robust Matrix Completion | via | Alternating Projection |
| Robust Meta-Representation Learning | via | Global Label Inference and Classification |
| Robust Metric Localization in Autonomous Driving | via | Doppler Compensation With Single-Chip Radar |
| Robust mobile spamming detection | via | graph patterns |
| Robust Motion Detection | via | the Fuzzy Fusion of 6D Feature Space Decompositions |
| Robust motion segmentation | via | refined sparse subspace clustering |
| Robust multi-agent reinforcement learning | via | Bayesian distributional value estimation |
| Robust multi-feature visual tracking | via | multi-task kernel-based sparse learning |
| Robust multi-scale ship tracking | via | multiple compressed features fusion |
| Robust Multi-Speaker Tracking | via | Dictionary Learning and Identity Modeling |
| Robust multi-view L2 triangulation | via | optimal inlier selection and 3D structure refinement |
| Robust multi-view learning | via | M-estimator joint sparse representation |
| Robust Multichannel Blind Deconvolution | via | Fast Alternating Minimization |
| Robust Multiclass Ensemble Classifiers | via | Symmetric Functions |
| Robust multimodal recognition | via | multitask multivariate low-rank representations |
| Robust Multimodal Sentiment Analysis | via | Tag Encoding of Uncertain Missing Modalities |
| Robust multiple-vehicle tracking | via | adaptive integration of multiple visual features |
| Robust Multispectral Pedestrian Detection | via | Spectral Position-Free Feature Mapping |
| Robust Multispectral Pedestrian Detection | via | Uncertainty-aware Cross-modal Learning |
| Robust Multiview Registration of 3D Surfaces | via | L_1-norm Minimization |
| Robust Network Architecture Search | via | Feature Distortion Restraining |
| Robust noise region-based active contour model | via | local similarity factor for image segmentation |
| Robust nonnegative matrix factorization | via | L1 norm regularization by multiplicative updating rules |
| Robust Object Categorization and Scene Classification over Remote Sensing Images | via | Features Fusion and Fully Convolutional Network |
| Robust Object Detection | via | Adversarial Novel Style Exploration |
| Robust Object Detection | via | Instance-Level Temporal Cycle Confusion |
| Robust Object Detection | via | Soft Cascade |
| Robust object pose estimation | via | statistical manifold modeling |
| Robust object recognition | via | third-party collaborative representation |
| Robust Object Recognition | via | Visual Pathway Feedback |
| Robust object tracking based on adaptive templates matching | via | the fusion of multiple features |
| Robust Object Tracking | via | Active Feature Selection |
| Robust Object Tracking | via | Combining Observation Models |
| Robust object tracking | via | deformation samples generator |
| Robust object tracking | via | ensembling semantic-aware network and redetection |
| Robust Object Tracking | via | Key Patch Sparse Representation |
| Robust Object Tracking | via | Local Sparse Appearance Model |
| Robust Object Tracking | via | Locality Sensitive Histograms |
| Robust object tracking | via | multi-feature adaptive fusion based on stability: contrast analysis |
| Robust object tracking | via | multi-task based collaborative model |
| Robust object tracking | via | multi-task dynamic sparse model |
| Robust Object Tracking | via | Online Dynamic Spatial Bias Appearance Models |
| Robust object tracking | via | online informative feature selection |
| Robust object tracking | via | online learning of adaptive appearance manifold |
| Robust object tracking | via | online Principal Component-Canonical Correlation Analysis (P3CA) |
| Robust Object Tracking | via | Sparse Collaborative Appearance Model |
| Robust object tracking | via | sparsity-based collaborative model |
| Robust object tracking with boosted discriminative model | via | graph embedding |
| Robust object-based watermarking scheme | via | shape self-similarity segmentation |
| Robust Online Tracking | via | Contrastive Spatio-Temporal Aware Network |
| Robust online tracking | via | sparse gradient convolution networks |
| Robust optical flow estimation | via | edge preserving filtering |
| Robust Optimization of Dynamic Motorway Traffic | via | Ramp Metering |
| Robust pan-sharpening | via | color samples relocation and edge aware interpolation |
| Robust pan-tilt-zoom tracking | via | optimization combining motion features and appearance correlations |
| Robust Parallel Analog Function Computation | via | Wireless Multiple-Access MIMO Channels |
| Robust part-based visual tracking | via | adaptive collaborative modelling |
| Robust Particle Tracker | via | Markov Chain Monte Carlo Posterior Sampling, A |
| Robust PCA | via | Alternating Iteratively Reweighted Low-Rank Matrix Factorization |
| Robust PCA | via | Principal Component Pursuit: A review for a comparative evaluation in video surveillance |
| Robust penalty-weighted deblurring | via | kernel adaption using single image |
| Robust perceptual image hashing | via | matrix invariants |
| Robust Phase Unwrapping | via | Deep Image Prior for Quantitative Phase Imaging |
| Robust Photometric Stereo | via | Low-Rank Matrix Completion and Recovery |
| Robust Point Matching | via | Vector Field Consensus |
| Robust Position Estimation Method in the Integrated Navigation System | via | Factor Graph, A |
| Robust Principal Component Pursuit | via | Inexact Alternating Minimization on Matrix Manifolds |
| Robust Proactive Monitoring | via | Jamming With Deterministically Bounded Channel Errors |
| Robust Proximal Femur Segmentation in Conventional X-Ray Images | via | Random Forest Regression on Multi-resolution Gradient Features |
| Robust Rate-Control for Wavelet-Based Image Coding | via | Conditional Probability Models |
| Robust Real-Time Visual Object Tracking | via | Multi-Scale Fully Convolutional Siamese Networks |
| Robust Recovery for Graph Signal | via | L_0-Norm Regularization |
| Robust Reference-based Super-Resolution | via | C2-Matching |
| Robust Region Grouping | via | Internal Patch Statistics |
| Robust registration of partially overlapping point sets | via | genetic algorithm with growth operator |
| Robust regularized feature selection for iris recognition | via | linear programming |
| Robust retinal optic disc and optic cup segmentation | via | stationary wavelet transform and maximum vessel pixel sum |
| Robust Retinal Vessel Segmentation | via | Locally Adaptive Derivative Frames in Orientation Scores |
| Robust Reversible Watermarking | via | Clustering and Enhanced Pixel-Wise Masking |
| Robust RGB-Guided Super-Resolution of Hyperspectral Images | via | TV^3 Minimization |
| Robust RGB-T Tracking | via | Consistency Regulated Scene Perception |
| Robust saliency detection | via | corner information and an energy function |
| Robust saliency detection | via | regularized random walks ranking |
| Robust salient motion detection in non-stationary videos | via | novel integrated strategies of spatio-temporal coherency clues and low-rank analysis |
| Robust Salient Object Detection | via | Fusing Foreground and Background Priors |
| Robust Scene Categorization | via | Scale-Rotation Invariant Generative Model and Kernel Sparse Representation Classification |
| Robust Self-Calibration and Euclidean Reconstruction | via | Affine Approximation |
| robust semi-supervised learning approach | via | mixture of label information, A |
| Robust Semi-Supervised Subspace Clustering | via | Non-Negative Low-Rank Representation |
| Robust Simultaneous 3D Registration | via | Rank Minimization |
| Robust Single Image Super-Resolution | via | Deep Networks With Sparse Prior |
| Robust Single-Image Super-Resolution | via | CNNs and TV-TV Minimization |
| Robust Single-Shot T2 Mapping | via | Multiple Overlapping-Echo Acquisition and Deep Neural Network |
| Robust Small-scale Pedestrian Detection with Cued Recall | via | Memory Learning |
| Robust Sparse Recovery in Impulsive Noise | via | Continuous Mixed Norm |
| Robust spatial watermarking technique for colour images | via | direct saturation adjustment |
| Robust Speaker Verification | via | Asynchronous Fusion of Speech and Lip Information |
| Robust stabilization of multiple coupled networked control system | via | jump linear system approach |
| Robust statistics on Riemannian manifolds | via | the geometric median |
| Robust Stereo | via | Temporal Consistency |
| Robust Streaming of Offline Coded H.264/AVC Video | via | Alternative Macroblock Coding |
| Robust Struck tracker | via | color Haar-like feature and selective updating |
| Robust Subspace Clustering | via | Half-Quadratic Minimization |
| Robust Subspace Clustering | via | Smoothed Rank Approximation |
| Robust Superpixel Tracking | via | Depth Fusion |
| Robust surface normal estimation | via | greedy sparse regression |
| Robust surface reconstruction from gradients | via | adaptive dictionary regularization |
| Robust Surface Reconstruction | via | Laplace-Beltrami Eigen-Projection and Boundary Deformation |
| Robust Surface Reconstruction | via | Triple Sparsity |
| Robust synchronization in SO(3) and SE(3) | via | low-rank and sparse matrix decomposition |
| robust technique for copy-move forgery detection and localization in digital images | via | stationary wavelet and discrete cosine transform, A |
| Robust temporal low-rank representation for traffic data recovery | via | fused LASSO |
| Robust Text Image Recognition | via | Adversarial Sequence-to-Sequence Domain Adaptation |
| Robust Text Segmentation in Low Quality Images | via | Adaptive Stroke Width Estimation and Stroke Based Superpixel Grouping |
| Robust Tracking for Motion Blur | via | Context Enhancement |
| Robust Tracking | via | Bidirectional Transduction With Mask Information |
| Robust tracking | via | discriminative sparse feature selection |
| Robust Tracking | via | Learning Model Update With Unsupervised Anomaly Detection Philosophy |
| Robust Tracking | via | Locally Structured Representation |
| Robust tracking | via | monocular active vision for an intelligent teaching system |
| Robust tracking | via | saliency-based appearance model |
| Robust Tracking | via | Spatio-Temporally Weighted Multiple Instance Learning |
| Robust Tracking | via | Uncertainty-Aware Semantic Consistency |
| Robust tracking | via | weakly supervised ranking SVM |
| Robust tracking | via | weighted spatio-temporal context learning |
| Robust TV News Story Identification | via | Visual Characteristics of Anchorperson Scenes |
| Robust Two-Dimensional InSAR Phase Unwrapping | via | FPA and GAU Dual Attention in ResDANet |
| Robust two-dimensional principal component analysis | via | alternating optimization |
| Robust unsupervised feature selection | via | data relationship learning |
| Robust Vehicle Re-identification | via | Rigid Structure Prior |
| Robust video fingerprinting | via | structural graphical models |
| Robust Video Hashing | via | Multilinear Subspace Projections |
| Robust Video Watermarking Scheme | via | Temporal Segmentation and Middle Frequency Component Adaptive Modification, A |
| Robust Video-Text Retrieval | via | Noisy Pair Calibration |
| Robust Visual Knowledge Transfer | via | Extreme Learning Machine-Based Domain Adaptation |
| Robust Visual Object Tracking | via | Adaptive Attribute-Aware Discriminative Correlation Filters |
| Robust Visual Object Tracking | via | Sparse Representation and Reconstruction |
| Robust visual question answering | via | semantic cross modal augmentation |
| Robust Visual Tracking and Vehicle Classification | via | Sparse Representation |
| robust visual tracking method | via | local feature extraction and saliency detection, A |
| Robust Visual Tracking | via | An Imbalance-Elimination Mechanism |
| Robust visual tracking | via | augmented kernel SVM |
| Robust Visual Tracking | via | Basis Matching |
| Robust visual tracking | via | CAMShift and structural local sparse appearance model |
| Robust visual tracking | via | co-trained Kernelized correlation filters |
| Robust Visual Tracking | via | Consistent Low-Rank Sparse Learning |
| Robust visual tracking | via | constrained correlation filter coding |
| Robust Visual Tracking | via | Constrained Multi-Kernel Correlation Filters |
| Robust visual tracking | via | context objects computing |
| Robust Visual Tracking | via | Convolutional Networks Without Training |
| Robust Visual Tracking | via | Coupled Randomness |
| Robust Visual Tracking | via | Dirac-Weighted Cascading Correlation Filters |
| Robust visual tracking | via | discriminative sequential ranking |
| Robust visual tracking | via | efficient manifold ranking with low-dimensional compressive features |
| Robust Visual Tracking | via | Exclusive Context Modeling |
| Robust Visual Tracking | via | Hierarchical Convolutional Features |
| Robust Visual Tracking | via | Hierarchical Particle Filter and Ensemble Deep Features |
| Robust Visual Tracking | via | Least Soft-Threshold Squares |
| Robust visual tracking | via | modified Harris hawks optimization |
| Robust visual tracking | via | multi-feature response maps fusion using a collaborative local-global layer visual model |
| Robust Visual Tracking | via | Multi-Scale Spatio-Temporal Context Learning |
| Robust Visual Tracking | via | Multi-Task Sparse Learning |
| Robust visual tracking | via | multi-view discriminant based sparse representation |
| Robust Visual Tracking | via | Multiple Kernel Boosting With Affinity Constraints |
| Robust visual tracking | via | nonlocal regularized multi-view sparse representation |
| Robust Visual Tracking | via | Online Discriminative and Low-Rank Dictionary Learning |
| Robust visual tracking | via | online multiple instance learning with Fisher information |
| Robust Visual Tracking | via | Pixel Classification and Integration |
| Robust Visual Tracking | via | Rank-Constrained Sparse Learning |
| Robust visual tracking | via | ranking SVM |
| Robust Visual Tracking | via | Semiadaptive Weighted Convolutional Features |
| Robust Visual Tracking | via | Smooth Manifold Kernel Sparse Learning |
| Robust Visual Tracking | via | Sparse Representation Under Subclass Discriminant Constraint |
| Robust Visual Tracking | via | Sparsity-Induced Subspace Learning |
| Robust visual tracking | via | spatio-temporal adaptive and channel selective correlation filters |
| Robust Visual Tracking | via | Structured Multi-Task Sparse Learning |
| Robust visual tracking | via | transfer learning |
| Robust Watermarking for Deep Neural Networks | via | Bi-level Optimization |
| Robust Web Image Annotation | via | Exploring Multi-Facet and Structural Knowledge |
| Robustly tracking objects | via | multi-task kernel dynamic sparse model |
| Robustness Analysis of Structured Matrix Factorization | via | Self-Dictionary Mixed-Norm Optimization |
| Robustness and Generalization | via | Generative Adversarial Training |
| Robustness Verification of Classification Deep Neural Networks | via | Linear Programming |
| Robustness | via | Cross-Domain Ensembles |
| Robustness | via | Curvature Regularization, and Vice Versa |
| RobustNet: Improving Domain Generalization in Urban-Scene Segmentation | via | Instance Selective Whitening |
| Rock detection | via | superpixel graph cuts |
| Rock Layer Classification and Identification in Ground-Penetrating Radar | via | Machine Learning |
| ROI Based Quality Access Control of Compressed Color Image using DWT | via | Lifting |
| ROME: Robustifying Memory-Efficient NAS | via | Topology Disentanglement and Gradient Accumulation |
| Roof Planes Detection | via | a Second-Order Variational Model |
| Rotation Invariant Image Recognition Using Features Selected | via | a Systematic Method |
| Rotation symmetry group detection | via | frequency analysis of frieze-expansions |
| Rotation-Equivariant Graph Convolutional Networks For Spherical Data | via | Global-Local Attention |
| Rotation-Invariant Feature Learning in VHR Optical Remote Sensing Images | via | Nested Siamese Structure With Double Center Loss |
| Rotation-Invariant Texture Retrieval | via | Signature Alignment Based on Steerable Sub-Gaussian Modeling |
| RPAU: Fooling the Eyes of UAVs | via | Physical Adversarial Patches |
| RPC Estimation | via | L_1-Norm-Regularized Least Squares (L1LS) |
| RSMT: A Remote Sensing Image-to-Map Translation Model | via | Adversarial Deep Transfer Learning |
| Runway assessment | via | remote sensing |
| Rust Detection of Steel Structure | via | One-Class Classification and L2 Sparse Representation with Decision Fusion |
| S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks | via | Guided Distribution Calibration |
| S2dnas: Transforming Static Cnn Model for Dynamic Inference | via | Neural Architecture Search |
| S3C: Semi-Supervised VQA Natural Language Explanation | via | Self-Critical Learning |
| S3D: Scalable Pedestrian Detection | via | Score Scale Surface Discrimination |
| S3U-PVNet: Arbitrary-scale point cloud upsampling | via | Point-Voxel Network based on Siamese Self-Supervised Learning |
| Saca Net: Cybersickness Assessment of Individual Viewers for VR Content | via | Graph-Based Symptom Relation Embedding |
| Safe Reinforcement Learning for Single Train Trajectory Optimization | via | Shield SARSA |
| Safe-State Enhancement Method for Autonomous Driving | via | Direct Hierarchical Reinforcement Learning |
| Safety-Certified Multi-Target Circumnavigation With Autonomous Surface Vehicles | via | Neurodynamics-Driven Distributed Optimization |
| SAILOR: Scaling Anchors | via | Insights into Latent Object Representation |
| SalFBNet: Learning pseudo-saliency distribution | via | feedback convolutional networks |
| Saliency analysis and region of interest detection | via | orientation information and contrast feature in remote sensing images |
| Saliency Analysis | via | Hyperparameter Sparse Representation and Energy Distribution Optimization for Remote Sensing Images |
| Saliency detection framework | via | linear neighbourhood propagation |
| Saliency Detection | via | A Graph Based Diffusion Model |
| Saliency Detection | via | a Multiple Self-Weighted Graph-Based Manifold Ranking |
| Saliency Detection | via | Absorbing Markov Chain |
| Saliency Detection | via | Absorbing Markov Chain With Learnt Transition Probability |
| Saliency detection | via | alternative optimization adaptive influence matrix model |
| Saliency detection | via | background and foreground null space learning |
| Saliency detection | via | bi-directional propagation |
| Saliency detection | via | Boolean and foreground in a dynamic Bayesian framework |
| Saliency detection | via | Cellular Automata |
| Saliency detection | via | coarse-to-fine diffusion-based compactness with weighted learning affinity matrix |
| Saliency Detection | via | Combining Region-Level and Pixel-Level Predictions with CNNs |
| Saliency detection | via | cross-scale deep inference |
| Saliency Detection | via | Dense and Sparse Reconstruction |
| Saliency Detection | via | Depth-Induced Cellular Automata on Light Field |
| Saliency detection | via | divergence analysis: A unified perspective |
| Saliency Detection | via | Diversity-Induced Multi-view Matrix Decomposition |
| Saliency detection | via | foreground rendering and background exclusion |
| Saliency Detection | via | Global Context Enhanced Feature Fusion and Edge Weighted Loss |
| Saliency detection | via | global-object-seed-guided cellular automata |
| Saliency Detection | via | Graph-Based Manifold Ranking |
| Saliency detection | via | local single Gaussian model |
| Saliency detection | via | local structure propagation |
| Saliency Detection | via | Multi-Scale Global Cues |
| Saliency Detection | via | Nonlocal L_0 Minimization |
| Saliency Detection | via | Similar Image Retrieval |
| Saliency detection | via | statistical non-redundancy |
| Saliency Detection | via | Topological Feature Modulated Deep Learning |
| Saliency fusion | via | sparse and double low rank decomposition |
| Saliency Hierarchy Modeling | via | Generative Kernels for Salient Object Detection |
| Salient object detection for searched web images | via | global saliency |
| Salient object detection in complex scenes | via | D-S evidence theory based region classification |
| Salient object detection in image sequences | via | spatial-temporal cue |
| Salient object detection | via | a boundary-guided graph structure |
| Salient object detection | via | a linear feedback control system |
| Salient object detection | via | a local and global method based on deep residual network |
| Salient object detection | via | boosting object-level distinctiveness and saliency refinement |
| Salient object detection | via | bootstrap learning |
| Salient Object Detection | via | Color Contrast and Color Distribution |
| Salient object detection | via | compactness and objectness cues |
| Salient Object Detection | via | Deep Hierarchical Context Aggregation and Multi-Layer Supervision |
| Salient Object Detection | via | Deformed Smoothness Constraint |
| Salient Object Detection | via | Double Random Walks with Dual Restarts |
| Salient Object Detection | via | Dynamic Scale Routing |
| Salient object detection | via | fast R-CNN and low-level cues |
| Salient Object Detection | via | Fuzzy Theory and Object-Level Enhancement |
| Salient object detection | via | global and local cues |
| Salient Object Detection | via | Hybrid Encoder and Feature Feedback Fusion Mechanism |
| Salient object detection | via | hybrid upsampling and hybrid loss computing |
| Salient object detection | via | images frequency domain analyzing |
| Salient object detection | via | incorporating multiple manifold ranking |
| Salient Object Detection | via | Integrity Learning |
| Salient object detection | via | local saliency estimation and global homogeneity refinement |
| Salient Object Detection | via | Multiple Instance Joint Re-Learning |
| Salient Object Detection | via | Multiple Instance Learning |
| Salient object detection | via | objectness measure |
| Salient object detection | via | point-to-set metric learning |
| Salient Object Detection | via | Random Forest |
| Salient object detection | via | reciprocal function filter |
| Salient Object Detection | via | Recursive Sparse Representation |
| Salient object detection | via | reliability-based depth compactness and depth contrast |
| Salient object detection | via | reliable boundary seeds and saliency refinement |
| Salient Object Detection | via | Saliency Spread |
| Salient object detection | via | sparse representation and multi-layer contour zooming |
| Salient object detection | via | spectral graph weighted low rank matrix recovery |
| Salient object detection | via | spectral matting |
| Salient Object Detection | via | Structured Matrix Decomposition |
| Salient object detection | via | two-stage absorbing Markov chain based on background and foreground |
| Salient Object Detection | via | Two-Stage Graphs |
| Salient Object Detection | via | Weighted Low Rank Matrix Recovery |
| Salient Object Segmentation | via | Effective Integration of Saliency and Objectness |
| Salient region detection | via | color spatial distribution determined global contrasts |
| Salient Region Detection | via | Discriminative Dictionary Learning and Joint Bayesian Inference |
| Salient Region Detection | via | High-Dimensional Color Transform |
| Salient Region Detection | via | High-Dimensional Color Transform and Local Spatial Support |
| Salient Region Detection | via | Integrating Diffusion-Based Compactness and Local Contrast |
| Salient region detection | via | texture-suppressed background contrast |
| Salient Ship Detection | via | Background Prior and Foreground Constraint in Remote Sensing Images |
| Salient Skin Lesion Segmentation | via | Dilated Scale-Wise Feature Fusion Network |
| Salprop: Salient object proposals | via | aggregated edge cues |
| Salt-and-Pepper Noise Removal | via | Local Holder Seminorm and Nonlocal Operator for Natural and Texture Image |
| SAM-GAN: Supervised Learning-Based Aerial Image-to-Map Translation | via | Generative Adversarial Networks |
| Sample and Filter: Nonparametric Scene Parsing | via | Efficient Filtering |
| Sample Efficient Detection and Classification of Adversarial Attacks | via | Self-Supervised Embeddings |
| Sample selection for visual domain adaptation | via | sparse coding |
| Sample-Dependent Distance for 1: N Identification | via | Discriminative Feature Selection |
| Sampling of 3D Point Cloud | via | Gershgorin Disc Alignment |
| SAR Image Classification | via | Deep Recurrent Encoding Neural Networks |
| SAR image denoising | via | Bayesian wavelet shrinkage based on heavy-tailed modeling |
| SAR Image Denoising | via | Clustering-Based Principal Component Analysis |
| SAR Image Denoising | via | Sparse Representation in Shearlet Domain Based on Continuous Cycle Spinning |
| SAR image formation | via | inversion of radon transforms |
| SAR Imaging | via | Modern 2-D Spectral Estimation Methods |
| SAR Pixelwise Registration | via | Multiscale Coherent Point Drift With Iterative Residual Map Minimization |
| SAR Target Configuration Recognition | via | Two-Stage Sparse Structure Representation |
| SAR Target Recognition in Large Scene Images | via | Region-Based Convolutional Neural Networks |
| SAR Target Recognition | via | Incremental Nonnegative Matrix Factorization |
| SAR Target Recognition | via | Joint Sparse and Dense Representation of Monogenic Signal |
| SAR Target Recognition | via | Local Sparse Representation of Multi-Manifold Regularized Low-Rank Approximation |
| SAR Target Recognition | via | Supervised Discriminative Dictionary Learning and Sparse Representation of the SAR-HOG Feature |
| SAR Tomography | via | Nonlinear Blind Scatterer Separation |
| SAR-NAS: Skeleton-based action recognition | via | neural architecture searching |
| SAR-PC: Edge Detection in SAR Images | via | an Advanced Phase Congruency Model |
| SAR-to-Optical Image Translation | via | an Interpretable Network |
| SAR2HEIGHT: Height Estimation from a Single SAR Image in Mountain Areas | via | Sparse Height and Proxyless Depth-Aware Penalty Neural Architecture Search for Unet |
| SASO: Joint 3D semantic-instance segmentation | via | multi-scale semantic association and salient point clustering optimization |
| Satellite Image Super-Resolution | via | Multi-Scale Residual Deep Neural Network |
| Satellite Image Time Series Clustering | via | Time Adaptive Optimal Transport |
| Satellite On-Board Change Detection | via | Auto-Associative Neural Networks |
| Satellite-Based Background Aerosol Optical Depth Determination | via | Global Statistical Analysis of Multiple Lognormal Distribution |
| Saying the Unseen: Video Descriptions | via | Dialog Agents |
| Scalable and Effective Deep CCA | via | Soft Decorrelation |
| Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems | via | Convex Optimization |
| Scalable coding of stream cipher encrypted images | via | adaptive sampling |
| Scalable Face Image Coding | via | StyleGAN Prior: Toward Compression for Human-Machine Collaborative Vision |
| Scalable image segmentation | via | decoupled sub-graph compression |
| Scalable Lossy to Lossless Video Coding | via | Adaptive 3d Wavelet Transform and Context Modeling |
| Scalable Metric Learning | via | Weighted Approximate Rank Component Analysis |
| Scalable multi-label annotation | via | semi-supervised kernel semantic embedding |
| Scalable Multi-Temporal Remote Sensing Change Data Generation | via | Simulating Stochastic Change Process |
| Scalable Multi-View Semi-Supervised Classification | via | Adaptive Regression |
| Scalable video browsing and searching | via | Q-metric |
| Scalable video compression | via | overcomplete motion compensated wavelet coding |
| Scalable Zero-Shot Learning | via | Binary Visual-Semantic Embeddings |
| Scalar field visualization | via | extraction of symmetric structures |
| Scale and rotation invariant feature-based object tracking | via | modified on-line boosting |
| Scale detection | via | keypoint density maps in regular or near-regular textures |
| Scale Estimation in Multiple Models Fitting | via | Consensus Clustering |
| Scale-Adaptive Neural Dense Features: Learning | via | Hierarchical Context Aggregation |
| Scale-Aware Crowd Counting | via | Depth-Embedded Convolutional Neural Networks |
| Scale-Aware Edge-Preserving Image Filtering | via | Iterative Global Optimization |
| Scale-Free Single Image Deraining | via | Visibility-Enhanced Recurrent Wavelet Learning |
| Scale-Space Generation | via | Uncertainty Principles |
| Scaling Images and Image Features | via | the Renormalization Group |
| Scaling Language-Image Pre-Training | via | Masking |
| Scaling Recurrent Models | via | Orthogonal Approximations in Tensor Trains |
| Scaling up instance annotation | via | label propagation |
| Scaling Vision Transformers to Gigapixel Images | via | Hierarchical Self-Supervised Learning |
| Scalp EEG-Based Automatic Detection of Epileptiform Events | via | Graph Convolutional Network and Bi-Directional LSTM Co-Embedded Broad Learning System |
| ScanMix: Learning from Severe Label Noise | via | Semantic Clustering and Semi-Supervised Learning |
| Scanpath Prediction | via | Semantic Representation of the Scene |
| Scarce face recognition | via | two-layer collaborative representation |
| Scene Adaptive Online Surveillance Video Synopsis | via | Dynamic Tube Rearrangement Using Octree |
| Scene and Motion Reconstruction from Defocused and Motion-Blurred Images | via | Anisotropic Diffusion |
| Scene Boundary Detection | via | Video Self-similarity Analysis |
| Scene categorization | via | contextual visual words |
| Scene classification of images and video | via | semantic segmentation |
| Scene Classification | via | a Gradient Boosting Random Convolutional Network Framework |
| Scene Classification | via | Hypergraph-Based Semantic Attributes Subnetworks Identification |
| Scene Classification | via | pLSA |
| Scene classification-oriented saliency detection | via | the modularized prescription |
| Scene Flow Estimation from Light Fields | via | the Preconditioned Primal-Dual Algorithm |
| Scene Graph Inference | via | Multi-Scale Context Modeling |
| Scene Parsing | via | Dense Recurrent Neural Networks With Attentional Selection |
| Scene Parsing | via | Integrated Classification Model and Variance-Based Regularization |
| Scene Partitioning | via | Statistic-Based Region Growing |
| Scene Recognition for Blind Spot | via | Road Safety Mirror and In-Vehicle Camera |
| Scene Synthesis | via | Uncertainty-Driven Attribute Synchronization |
| Scene Text Detection | via | Connected Component Clustering and Nontext Filtering |
| Scene Text Detection | via | Deep Semantic Feature Fusion and Attention-based Refinement |
| Scene Text Detection | via | Integrated Discrimination of Component Appearance and Consensus |
| Scene text detection | via | stroke width |
| Scene Text Retrieval | via | Joint Text Detection and Similarity Learning |
| Scene Text Segmentation | via | Inverse Rendering |
| Scene-Adaptive Video Frame Interpolation | via | Meta-Learning |
| Scene-Based Movie Summarization | via | Role-Community Networks |
| Scenimefy: Learning to Craft Anime Scene | via | Semi-Supervised Image-to-Image Translation |
| Scheduled sampling for one-shot learning | via | matching network |
| Scheduling Eight-Phase Urban Traffic Light Problems | via | Ensemble Meta-Heuristics and Q-Learning Based Local Search |
| Scheduling Online EV Charging Demand Response | via | V2V Auctions and Local Generation |
| SChISM: Semantic Clustering | via | Image Sequence Merging for Images of Human-Decomposition |
| SCOB: Universal Text Understanding | via | Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap |
| Scratch detection | via | underdamped harmonic motion |
| Scratch Each Other's Back: Incomplete Multi-modal Brain Tumor Segmentation | via | Category Aware Group Self-Support Learning |
| SCRDet++: Detecting Small, Cluttered and Rotated Objects | via | Instance-Level Feature Denoising and Rotation Loss Smoothing |
| Screen content image quality assessment | via | convolutional neural network |
| Scribble based interactive 3D reconstruction | via | scene co-segmentation |
| Script identification in the wild | via | discriminative convolutional neural network |
| SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning | via | Salient Channels |
| SD-NeRF: Towards Lifelike Talking Head Animation | via | Spatially-Adaptive Dual-Driven NeRFs |
| SDAT-Former: Foggy Scene Semantic Segmentation | via | A Strong Domain Adaptation Teacher |
| SDNet: An Extremely Efficient Portrait Matting Model | via | Self-Distillation |
| SDUNet: Road extraction | via | spatial enhanced and densely connected UNet |
| Sea Clutter Amplitude Prediction | via | an Attention-Enhanced Seq2Seq Network |
| Sea Ice Extraction | via | Remote Sensing Imagery: Algorithms, Datasets, Applications and Challenges |
| Sea-land segmentation | via | hierarchical region merging and edge directed graph cut |
| Search-Based Depth Estimation | via | Coupled Dictionary Learning with Large-Margin Structure Inference |
| Searching Action Proposals | via | Spatial Actionness Estimation and Temporal Path Inference and Tracking |
| Searching Dense Point Correspondences | via | Permutation Matrix Learning |
| Searching for Robust Binary Neural Networks | via | Bimodal Parameter Perturbation |
| Second-Order Unsupervised Feature Selection | via | Knowledge Contrastive Distillation |
| Secret-Sharing-Based Method for Authentication of Grayscale Document Images | via | the Use of the PNG Image With a Data Repair Capability, A |
| SecretGen: Privacy Recovery on Pre-trained Models | via | Distribution Discrimination |
| secure high capacity full-gray-scale-level multi-image information hiding and secret image authentication scheme | via | Tchebichef moments, A |
| Secure Identification Documents | via | Pattern Recognition and Public-key Cryptography |
| Secure image hashing | via | minimum distortion estimation |
| Secure multicasting of images | via | joint privacy-preserving fingerprinting, decryption, and authentication |
| Secure Reversible Image Data Hiding Over Encrypted Domain | via | Key Modulation |
| Secure Transmissions | via | Compressive Sensing in Multicarrier Systems |
| Secure Video Watermarking | via | Embedding Strength Modulation |
| Secure Wireless Communication | via | Movable-Antenna Array |
| Security Enhancement | via | Device-to-Device Communication in Cellular Networks |
| See More and Know More: Zero-shot Point Cloud Segmentation | via | Multi-modal Visual Data |
| See through Gradients: Image Batch Recovery | via | GradInversion |
| SEEDS: Superpixels Extracted | via | Energy-Driven Sampling |
| Seeing the unseen: Wifi-based 2D human pose estimation | via | an evolving attentive spatial-Frequency network |
| Seeing Through a Black Box: Toward High-Quality Terahertz Imaging | via | Subspace-and-Attention Guided Restoration |
| Seeing Through Darkness: Visual Localization at Night | via | Weakly Supervised Learning of Domain Invariant Features |
| Seek-and-Hide: Adversarial Steganography | via | Deep Reinforcement Learning |
| Segment-Based Stereo-Matching | via | Plane and Angle Sweeping |
| Segmentation and Compression of SAR Imagery | via | Hierarchical Stochastic Modeling |
| Segmentation and Denoising | via | an Adaptive Threshold Mumford-Shah-Like Functional |
| Segmentation in multi-view video | via | color, depth and motion cues |
| Segmentation in Weakly Labeled Videos | via | a Semantic Ranking and Optical Warping Network |
| Segmentation of Brain Tumors in Multi-parametric MR Images | via | Robust Statistic Information Propagation |
| Segmentation of color images | via | reversible jump MCMC sampling |
| Segmentation of Hybrid Motions | via | Hybrid Quadratic Surface Analysis |
| Segmentation of Hyperspectral Images | via | Subtractive Clustering and Cluster Validation Using One-Class Support Vector Machines |
| Segmentation of Images | via | Scale-space Trees, The |
| Segmentation of left ventricles from echocardiographic sequences | via | sparse appearance representation |
| Segmentation of liver tumor | via | nonlocal active contours |
| Segmentation of microscope cell images | via | adaptive eigenfilters |
| Segmentation of Multivariate Mixed Data | via | Lossy Data Coding and Compression |
| Segmentation of Overlapping Cytoplasm in Cervical Smear Images | via | Adaptive Shape Priors Extracted From Contour Fragments |
| Segmentation of Prostate in Diffusion MR Images | via | Clustering |
| Segmentation of Random-Fields | via | Borrowed Strength Density-Estimation |
| Segmentation of Range Images | via | Data Fusion and Morphological Watersheds |
| Segmentation of Skeleton and Organs in Whole-Body CT Images | via | Iterative Trilateration |
| Segmentation of the Left Venctricle from MR Images | via | Snake Models Incorporating Shape Similarities |
| Segmentation of the True Lumen of Aorta Dissection | via | Morphology-Constrained Stepwise Deep Mesh Regression |
| Segmentation Over Detection | via | Optimal Sparse Reconstructions |
| Segmentation | via | Graph-Spectral Methods and Riemannian Geometry |
| Segmentation | via | NCuts and Lossy Minimum Description Length: A Unified Approach |
| Segmentation with Non-linear Regional Constraints | via | Line-Search Cuts |
| Segmentation, registration, and measurement of shape variation | via | image object shape |
| segmentation-free approach for skeletonization of gray-scale images | via | anisotropic vector diffusion, A |
| Segmentation-free Skeletonization of Gray-scale Images | via | PDE's |
| Segmenting foreground objects from a dynamic textured background | via | a robust Kalman filter |
| Segmenting neurons in electronic microscopy | via | geometric tracing |
| Segmenting similar shapes | via | weighted group-similarity active contours |
| Segmenting Tables | via | Indexing of Value Cells by Table Headers |
| SegPrompt: Boosting Open-world Segmentation | via | Category-level Prompt Learning |
| SegRCDB: Semantic Segmentation | via | Formula-Driven Supervised Learning |
| Segtad: Precise Temporal Action Detection | via | Semantic Segmentation |
| Seismic Simultaneous Source Separation | via | Patchwise Sparse Representation |
| Selecting feature subset for high dimensional data | via | the propositional FOIL rules |
| Selecting features of linear-chain conditional random fields | via | greedy stage-wise algorithms |
| Selecting Optimal Completion to Partial Matrix | via | Self-Validation |
| Selection and Execution of Simple Actions | via | Visual Attention and Direct Parameter Specification |
| Selective color transferring | via | ellipsoid color mixture map |
| Selective Element and Two Orders Vectorization Networks for Automatic Depression Severity Diagnosis | via | Facial Changes |
| Selective Ensemble Classification of Image Steganalysis | via | Deep Q Network |
| Self-Adaptive Parameter Selection Trajectory Prediction Approach | via | Hidden Markov Models, A |
| Self-Adaptively Weighted Co-Saliency Detection | via | Rank Constraint |
| Self-augmented Unpaired Image Dehazing | via | Density and Depth Decomposition |
| Self-Calibration and Bilinear Inverse Problems | via | Linear Least Squares |
| Self-Contained Stylization | via | Steganography for Reverse and Serial Style Transfer |
| self-distillation object segmentation method | via | frequency domain knowledge augmentation, A |
| Self-generated Defocus Blur Detection | via | Dual Adversarial Discriminators |
| Self-Guidance: Improve Deep Neural Network Generalization | via | Knowledge Distillation |
| Self-Guided Novel View Synthesis | via | Elastic Displacement Network |
| Self-knowledge distillation | via | dropout |
| Self-learning approach to color demosaicking | via | support vector regression |
| Self-learning-based post-processing for image/video deblocking | via | sparse representation |
| Self-Organized Text Detection with Minimal Post-processing | via | Border Learning |
| Self-recalibration of a structured light system | via | plane-based homography |
| Self-Regulated Feature Learning | via | Teacher-free Feature Distillation |
| Self-Robust 3D Point Recognition | via | Gather-Vector Guidance |
| Self-supervised 2D face presentation attack detection | via | temporal sequence sampling |
| Self-Supervised 3D Face Reconstruction | via | Conditional Estimation |
| Self-Supervised 3D Hand Pose Estimation from monocular RGB | via | Contrastive Learning |
| Self-supervised 3d Human Pose Estimation in Static Video | via | Neural Rendering |
| Self-Supervised 3D Human Pose Estimation | via | Part Guided Novel Image Synthesis |
| Self-Supervised 3D Reconstruction and Ego-Motion Estimation | via | On-Board Monocular Video |
| Self-supervised 4D Spatio-temporal Feature Learning | via | Order Prediction of Sequential Point Cloud Clips |
| Self-Supervised Anomaly Detection from Anomalous Training Data | via | Iterative Latent Token Masking |
| Self-Supervised Arbitrary-Scale Point Clouds Upsampling | via | Implicit Neural Representation |
| Self-Supervised Blind Image Deconvolution | via | Deep Generative Ensemble Learning |
| Self-Supervised Collision Handling | via | Generative 3D Garment Models for Virtual Try-On |
| Self-supervised Correspondence Estimation | via | Multiview Registration |
| Self-supervised Deep Image Restoration | via | Adaptive Stochastic Gradient Langevin Dynamics |
| Self-Supervised Depth Completion | via | Adaptive Sampling and Relative Consistency |
| Self-Supervised Feature Learning | via | Exploiting Multi-Modal Data for Retinal Disease Diagnosis |
| Self-Supervised GANs | via | Auxiliary Rotation Loss |
| Self-supervised Geometric Features Discovery | via | Interpretable Attention for Vehicle Re-Identification and Beyond |
| Self-Supervised Human Detection and Segmentation | via | Background Inpainting |
| Self-supervised image clustering from multiple incomplete views | via | constrastive complementary generation |
| Self-Supervised Image-to-Point Distillation | via | Semantically Tolerant Contrastive Loss |
| Self-Supervised Knowledge Transfer | via | Loosely Supervised Auxiliary Tasks |
| Self-Supervised Learning from Untrimmed Videos | via | Hierarchical Consistency |
| Self-Supervised Learning of Point Clouds | via | Orientation Estimation |
| Self-Supervised Learning | via | Conditional Motion Propagation |
| Self-Supervised Learning | via | Multi-view Facial Rendezvous for 3D/4D Affect Recognition |
| Self-supervised Monocular Depth Estimation from Thermal Images | via | Adversarial Multi-spectral Adaptation |
| Self-supervised Motion Representation | via | Scattering Local Motion Cues |
| Self-Supervised Object Detection | via | Generative Image Synthesis |
| Self-supervised pain intensity estimation from facial videos | via | statistical spatiotemporal distillation |
| Self-supervised part segmentation | via | motion imitation |
| Self-Supervised Point Cloud Representation Learning | via | Separating Mixed Shapes |
| Self-Supervised Representation Learning for Videos by Segmenting | via | Sampling Rate Order Prediction |
| Self-Supervised Representation Learning | via | Neighborhood-Relational Encoding |
| Self-Supervised Scene-Debiasing for Video Representation Learning | via | Background Patching |
| Self-supervised Secondary Landmark Detection | via | 3D Representation Learning |
| Self-supervised Single-view 3d Reconstruction | via | Semantic Consistency |
| Self-Supervised Spatiotemporal Learning | via | Video Clip Order Prediction |
| Self-Supervised Vessel Segmentation | via | Adversarial Learning |
| Self-supervised Video Hashing | via | Bidirectional Transformers |
| Self-taught learning of a deep invariant representation for visual tracking | via | temporal slowness principle |
| Semantic Annotation of High-Resolution Satellite Images | via | Weakly Supervised Learning |
| Semantic Human Parsing | via | Scalable Semantic Transfer Over Multiple Label Domains |
| Semantic image content filtering | via | edge-preserving scale-aware filter |
| Semantic Image Segmentation | via | Deep Parsing Network |
| Semantic Image Synthesis | via | Adversarial Learning |
| Semantic Image Synthesis | via | Conditional Cycle-Generative Adversarial Networks |
| Semantic Injection Infrared and Visible Image Fusion | via | a Disentangled Representation Network |
| Semantic Jitter: Dense Supervision for Visual Comparisons | via | Synthetic Images |
| Semantic keyword extraction | via | adaptive text binarization of unstructured unsourced video |
| Semantic labeling in very high resolution images | via | a self-cascaded convolutional neural network |
| Semantic Labeling of Mobile LiDAR Point Clouds | via | Active Learning and Higher Order MRF |
| Semantic Nighttime Image Segmentation | via | Illumination and Position Aware Domain Adaptation |
| Semantic Novelty Detection | via | Relational Reasoning |
| Semantic Object Segmentation in Tagged Videos | via | Detection |
| Semantic object segmentation | via | detection in weakly labeled video |
| Semantic Part Detection | via | Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data |
| Semantic Road Segmentation | via | Multi-scale Ensembles of Learned Features |
| Semantic Scene Completion | via | Integrating Instances and Scene in-the-Loop |
| Semantic Scene Labeling | via | Deep Nested Level Set |
| Semantic Segmentation for Real Point Cloud Scenes | via | Bilateral Augmentation and Adaptive Fusion |
| Semantic Segmentation of Aerial Imagery | via | Split-Attention Networks with Disentangled Nonlocal and Edge Supervision |
| Semantic segmentation of mobile mapping point clouds | via | multi-view label transfer |
| Semantic Segmentation of Multispectral Images | via | Linear Compression of Bands: An Experiment Using RIT-18 |
| Semantic segmentation of remote sensing ship image | via | a convolutional neural networks model |
| Semantic Segmentation of Very-High-Resolution Remote Sensing Images | via | Deep Multi-Feature Learning |
| Semantic Segmentation | via | Multi-task, Multi-domain Learning |
| Semantic segmentation | via | sparse coding over hierarchical regions |
| Semantic Segmentation | via | Structured Patch Prediction, Context CRF and Guidance CRF |
| Semantic-Aware Implicit Template Learning | via | Part Deformation Consistency |
| Semantic-Supervised Infrared and Visible Image Fusion | via | a Dual-Discriminator Generative Adversarial Network |
| SemantiCADV: Generating Adversarial Examples | via | Attribute-conditioned Image Editing |
| Semantically Structured Image Compression | via | Irregular Group-Based Decoupling |
| SemanticFormer: Hyperspectral image classification | via | semantic transformer |
| Semi Automatic Registration Of Partially Overlapped Aerial Images | via | Pattern Search Method |
| Semi-Automatic Segmentation of Prostate in CT Images | via | Coupled Feature Representation and Spatial-Constrained Transductive Lasso |
| Semi-Automatic Tagging of Photo Albums | via | Exemplar Selection and Tag Inference |
| Semi-Blind Image Restoration | via | Mumford-Shah Regularization |
| Semi-FCMNet: Semi-Supervised Learning for Forest Cover Mapping from Satellite Imagery | via | Ensemble Self-Training and Perturbation |
| Semi-Supervised 3D Abdominal Multi-Organ Segmentation | via | Deep Multi-Planar Co-Training |
| Semi-Supervised 3D Hand-Object Pose Estimation | via | Pose Dictionary Learning |
| Semi-Supervised 3D Medical Image Segmentation | via | Boundary-Aware Consistent Hidden Representation Learning |
| Semi-Supervised 3d Object Detection | via | Adaptive Pseudo-Labeling |
| Semi-supervised 3D Object Detection | via | Temporal Graph Neural Networks |
| Semi-Supervised 3D Shape Segmentation | via | Self Refining |
| Semi-supervised action recognition in video | via | Labeled Kernel Sparse Coding and sparse L1 graph |
| Semi-supervised classification | via | discriminative sparse manifold regularization |
| Semi-Supervised Classification | via | Local Spline Regression |
| Semi-supervised Classification | via | Low Rank Graph |
| Semi-Supervised Clustering | via | Cannot Link Relationship for Multiview Data |
| Semi-Supervised Clustering | via | Learnt Codeword Distances |
| Semi-supervised clustering | via | multi-level random walk |
| Semi-supervised cross-modal hashing | via | modality-specific and cross-modal graph convolutional networks |
| Semi-Supervised Crowd Counting | via | Multiple Representation Learning |
| Semi-Supervised Crowd Counting | via | Self-training on Surrogate Tasks |
| Semi-supervised Deep Domain Adaptation | via | Coupled Neural Networks |
| Semi-supervised dictionary learning | via | local sparse constraints for violence detection |
| Semi-supervised Dimensionality Reduction | via | Multimodal Matrix Factorization |
| Semi-supervised Discriminant Analysis | via | Spectral Transduction |
| Semi-supervised domain adaptation | via | convolutional neural network |
| Semi-Supervised Domain Adaptation | via | Fredholm Integral Based Kernel Methods |
| Semi-Supervised Domain Adaptation | via | Minimax Entropy |
| Semi-supervised Domain Adaptation | via | Sample-to-Sample Self-Distillation |
| Semi-Supervised Domain Adaptation | via | Selective Pseudo Labeling and Progressive Self-Training |
| Semi-supervised domain adaptation | via | subspace exploration |
| Semi-Supervised Domain Adaptation with Auto-Encoder | via | Simultaneous Learning |
| Semi-Supervised Few-shot Learning | via | Multi-Factor Clustering |
| Semi-Supervised Few-Shot Object Detection | via | Adaptive Pseudo Labeling |
| Semi-Supervised Fine-Grained Classification with Web Data | via | Noisy Sample Selection |
| Semi-Supervised Hand Appearance Recovery | via | Structure Disentanglement and Dual Adversarial Discrimination |
| Semi-Supervised Human Detection | via | Region Proposal Networks Aided by Verification |
| Semi-Supervised Hyperspectral Image Classification | via | Spatial-Regulated Self-Training |
| Semi-supervised Learning | via | Conditional Rotation Angle Estimation |
| Semi-Supervised Learning | via | Convolutional Neural Network for Hyperspectral Image Classification |
| Semi-Supervised Learning | via | Feedforward-Designed Convolutional Neural Networks |
| Semi-supervised Learning | via | Multiple Layer Graph Regularized Perception |
| Semi-Supervised Learning | via | Regularized Boosting Working on Multiple Semi-Supervised Assumptions |
| Semi-Supervised Learning | via | Weight-aware Distillation under Class Distribution Mismatch |
| Semi-supervised medical image segmentation | via | hard positives oriented contrastive learning |
| Semi-Supervised Medical Report Generation | via | Graph-Guided Hybrid Feature Consistency |
| Semi-supervised metric learning | via | topology preserving multiple semi-supervised assumptions |
| Semi-supervised multi-label feature selection | via | label correlation analysis with L1-norm graph embedding |
| Semi-Supervised Neuron Segmentation | via | Reinforced Consistency Learning |
| Semi-supervised node classification | via | adaptive graph smoothing networks |
| Semi-supervised node classification | via | fine-grained graph auxiliary augmentation learning |
| Semi-Supervised Nonnegative Matrix Factorization | via | Constraint Propagation |
| Semi-Supervised Object Detection | via | Multi-instance Alignment with Global Class Prototypes |
| Semi-supervised Object Detection | via | VC Learning |
| Semi-supervised orthogonal discriminant analysis | via | label propagation |
| Semi-Supervised Partial Multi-Label Classification | via | Consistency Learning |
| Semi-supervised pathological image segmentation | via | cross distillation of multiple attentions and Seg-CAM consistency |
| Semi-Supervised Regression | via | Local Block Coordinate |
| Semi-Supervised Remote Sensing Image Semantic Segmentation | via | Consistency Regularization and Average Update of Pseudo-Label |
| Semi-Supervised Representation Learning | via | Triplet Loss Based on Explicit Class Ratio of Unlabeled Data |
| Semi-supervised Robust Dictionary Learning | via | Efficient l-Norms Minimization |
| Semi-Supervised Semantic Segmentation under Label Noise | via | Diverse Learning Groups |
| Semi-supervised Semantic Segmentation | via | Strong-weak Dual-branch Network |
| Semi-Supervised Single-Image Dehazing Network | via | Disentangled Meta-Knowledge |
| Semi-supervised Single-View 3D Reconstruction | via | Prototype Shape Priors |
| Semi-Supervised Skin Lesion Segmentation | via | Iterative Mask Optimization |
| Semi-supervised Speech-driven 3D Facial Animation | via | Cross-modal Encoding |
| Semi-Supervised Standard-Dose PET Image Generation | via | Region-Adaptive Normalization and Structural Consistency Constraint |
| Semi-Supervised Stereo-Based 3D Object Detection | via | Cross-View Consensus |
| Semi-Supervised Subspace Clustering | via | Tensor Low-Rank Representation |
| Semi-Supervised Temporal Action Proposal Generation | via | Exploiting 2-D Proposal Map |
| Semi-Supervised Video Object Segmentation | via | Learning Object-Aware Global-Local Correspondence |
| Semiparametric likelihood-ratio-based biometric score-level fusion | via | parametric copula |
| SemiRoadExNet: A semi-supervised network for road extraction from remote sensing imagery | via | adversarial learning |
| Semisupervised Discriminant Feature Learning for SAR Image Category | via | Sparse Ensemble |
| Semisupervised Endmember Identification in Nonlinear Spectral Mixtures | via | Semantic Representation |
| Semisupervised Hashing | via | Kernel Hyperplane Learning for Scalable Image Search |
| Semisupervised Learning of Hidden Markov Models | via | a Homotopy Method |
| Semisupervised Learning-Based SAR ATR | via | Self-Consistent Augmentation |
| SemST: Semantically Consistent Multi-Scale Image Translation | via | Structure-Texture Alignment |
| Sense discovery | via | co-clustering on images and text |
| Sensing Matrix Design for Compressive Spectral Imaging | via | Binary Principal Component Analysis |
| Sensing Travel Source-Sink Spatiotemporal Ranges Using Dockless Bicycle Trajectory | via | Density-Based Adaptive Clustering |
| Sensor band selection for multispectral imaging | via | average normalized information |
| Sensor orientation | via | RPCs |
| Sensor Placement in Gaussian Random Field | via | Discrete Simulation Optimization |
| Sensor Scheduling in Mobile Robots Using Incomplete Information | via | Min-Conflict with Happiness |
| Sentiment visualization and classification | via | semi-supervised nonlinear dimensionality reduction |
| Sentiment-Aware Emoji Insertion | via | Sequence Tagging |
| Sentinel-2 Sharpening | via | Parallel Residual Network |
| SENTRY: Selective Entropy Optimization | via | Committee Consistency for Unsupervised Domain Adaptation |
| Separate Magnitude and Phase Regularization | via | Compressed Sensing |
| Separate to Adapt: Open Set Domain Adaptation | via | Progressive Separation |
| Separation for Incomplete Micro-Doppler Signal | via | STVMD and Hungarian Algorithm |
| Separation of reflections | via | sparse ICA |
| Separation of the Temperature Effect on Structure Responses | via | LSTM: Particle Filter Method Considering Outlier from Remote Cloud Platforms |
| Sequence Image Interpolation | via | Separable Convolution Network |
| Sequential data feature selection for human motion recognition | via | Markov blanket |
| Sequential Face Alignment | via | Person-Specific Modeling in the Wild |
| Sequential factorization for nonrigid structure from motion | via | LBFGS |
| Sequential Fusion | via | Bounding Box and Motion PointPainting for 3D Objection Detection |
| Sequential Subspace Clustering | via | Temporal Smoothness |
| Sequential Subspace Clustering | via | Temporal Smoothness for Sequential Data Segmentation |
| SeqViews2SeqLabels: Learning 3D Global Features | via | Aggregating Sequential Views by RNN With Attention |
| Set-Based Feature Learning for Person Re-identification | via | Third-Party Images |
| Set-Supervised Action Learning in Procedural Task Videos | via | Pairwise Order Consistency |
| Severe-occluded 3D object identification | via | region-based descriptions |
| SF-CNN: A Fast Compression Artifacts Removal | via | Spatial-To-Frequency Convolutional Neural Networks |
| SF-Net: A Multi-Task Model for Brain Tumor Segmentation in Multimodal MRI | via | Image Fusion |
| SFincBuster: Spoofed fingerprint buster | via | incremental learning using leverage bagging classifier |
| SfM-MVS Photogrammetry for Rockfall Analysis and Hazard Assessment Along the Ancient Roman | via | Flaminia Road at the Furlo Gorge (Italy) |
| Sfnet: Faster and Accurate Semantic Segmentation | via | Semantic Flow |
| SGMNet: Learning Rotation-Invariant Point Cloud Representations | via | Sorted Gram Matrix |
| SGR: An Improved Point-Based Method for Remote Sensing Object Detection | via | Dual-Domain Alignment Saliency-Guided RepPoints |
| SGRec3D: Self-Supervised 3D Scene Graph Learning | via | Object-Level Scene Reconstruction |
| Shadow Detection and Reconstruction in High-Resolution Satellite Images | via | Morphological Filtering and Example-Based Learning |
| Shadow detection | via | multi-scale feature fusion and unsupervised domain adaptation |
| Shadow detection | via | Rayleigh scattering and Mie theory |
| Shadow Removal | via | Shadow Image Decomposition |
| Shakespeer: Verifying the Co-presence of Smart Devices and Users | via | Vibration |
| Shallow Bathymetric Mapping | via | Multistop Single Photoelectron Sensitivity Laser Ranging |
| Shallow Bathymetry from Multiple Sentinel 2 Images | via | the Joint Estimation of Wave Celerity and Wavelength |
| Shallow Water Object Detection, Classification, and Localization | via | Phase-Measured, Bathymetry-Mode Backscatter |
| Shape and Motion Reconstruction from 3D-to-1D Orthographically Projected Data | via | Object-Image Relations |
| Shape classification | via | image-based multiscale description |
| Shape Description | via | Shading Images |
| Shape Description | via | the Use of Critical Points |
| Shape Extraction | via | Heat Flow Analogy |
| Shape from Defocus | via | Diffusion |
| Shape from semantic segmentation | via | the geometric Renyi divergence |
| Shape from Shading | via | the Fusion of Specular and Lambertian Image Components |
| Shape from Texture of Developable Surfaces | via | Fourier Analysis |
| Shape from Texture | via | Fourier Analysis |
| Shape from Texture: Fast Estimation of Planar Surface Orientation | via | Fourier Analysis |
| Shape from Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images | via | Differentiable Path Tracing |
| Shape grammar parsing | via | Reinforcement Learning |
| Shape Model and Threshold Extraction | via | Shape Gradients |
| Shape modeling | via | local curvature scale |
| Shape offsets | via | level sets |
| Shape Partitioning | via | Lp Compressed Modes |
| Shape Recognition | via | an a Contrario Model for Size Functions |
| Shape recovery of color textured object using Fast Marching Method | via | self-calibration |
| Shape Representation and Shape Coefficients | via | Method of Hurwitz-Radon Matrices |
| Shape representation | via | elementary symmetric polynomials: A complete invariant inspired by the bispectrum |
| Shape representation | via | harmonic embedding |
| Shape Restoration | via | a Regularized Curvature Flow |
| Shape Tracking with Occlusions | via | Coarse-to-Fine Region-Based Sobolev Descent |
| Shape, Pose, and Appearance from a Single Image | via | Bootstrapped Radiance Field Inversion |
| Shape-Based Human Detection and Segmentation | via | Hierarchical Part-Template Matching |
| Shape-Based Object Detection | via | Boundary Structure Segmentation |
| Shape-based object recognition | via | Evidence Accumulation Inference |
| Shape-Biased Domain Generalization | via | Shock Graph Embeddings |
| Shape-from-image | via | Cross-sections |
| Shape-Preserving Stereo Object Remapping | via | Object-Consistent Grid Warping |
| ShapeClipper: Scalable 3D Shape Learning from Single-View Images | via | Geometric and CLIP-Based Consistency |
| ShapeFormer: Transformer-based Shape Completion | via | Sparse Representation |
| Share Our Cultural Heritage (SOCH): Worldwide 3D Heritage Reconstruction and Visualization | via | Web and Mobile GIS |
| Sharing features in multi-class boosting | via | group sparsity |
| Sharing Traffic Priorities | via | Cyber-Physical-Social Intelligence: A Lane-Free Autonomous Intersection Management Method in Metaverse |
| Sharp Analysis of Covariate Adjusted Precision Matrix Estimation | via | Alternating Projected Gradient Descent, A |
| Sharp Attention Network | via | Adaptive Sampling for Person Re-Identification |
| Shelf detection | via | vanishing point and radial projection |
| Shift-Net: Image Inpainting | via | Deep Feature Rearrangement |
| ShiftNAS: Improving One-shot NAS | via | Probability Shift |
| Ship Classification in Medium-Resolution SAR Images | via | Densely Connected Triplet CNNs Integrating Fisher Discrimination Regularized Metric Learning |
| Ship Collision Avoidance Navigation Signal Recognition | via | Vision Sensing and Machine Forecasting |
| Ship Detection for PolSAR Images | via | Task-Driven Discriminative Dictionary Learning |
| Ship Detection in Large-Scale SAR Images | via | Spatial Shuffle-Group Enhance Attention |
| Ship Detection in Low-Quality SAR Images | via | an Unsupervised Domain Adaption Method |
| Ship Detection in Optical Satellite Images | via | Directional Bounding Boxes Based on Ship Center and Orientation Prediction |
| Ship Detection in SAR Images | via | Enhanced Nonnegative Sparse Locality-Representation of Fisher Vectors |
| Ship Detection in SAR Images | via | Local Contrast of Fisher Vectors |
| Ship Detection Method | via | Redesigned FCOS in Large-Scale SAR Images, A |
| Ship Detection | via | Dilated Rate Search and Attention-Guided Feature Representation |
| Ship Detection | via | Multi-Scale Deformation Modeling and Fine Region Highlight-Based Loss Function |
| Ship Emission Reduction | via | Energy-Saving Formation |
| Ship Wake Detection in SAR Images | via | Sparse Regularization |
| Ship-Go: SAR Ship Images Inpainting | via | instance-to-image Generative Diffusion Models |
| Shortened Model for Logan Reference Plot Implemented | via | the Self-Supervised Neural Network for Parametric PET Imaging, A |
| Shortest-Path Constraints for 3D Multiobject Semiautomatic Segmentation | via | Clustering and Graph Cut |
| Shot and Scene Detection | via | Hierarchical Clustering for Re-using Broadcast Video |
| Shot boundary detection | via | adaptive low rank and svd-updating |
| Shot Change Detection | via | Local Keypoint Matching |
| Show Me What and Tell Me How: Video Synthesis | via | Multimodal Conditioning |
| Show, Tell and Rephrase: Diverse Video Captioning | via | Two-Stage Progressive Training |
| Shunted Self-Attention | via | Multi-Scale Token Aggregation |
| Shyness Trait Recognition for Schoolchildren | via | Multi-View Features of Online Writing |
| SiamCCF: Siamese visual tracking | via | cross-layer calibration fusion |
| SiamCLIM: Text-Based Pedestrian Search | via | Multi-Modal Siamese Contrastive Learning |
| SICNet: Learning selective inter-slice context | via | Mask-Guided Self-knowledge distillation for NPC segmentation |
| SID: Incremental learning for anchor-free object detection | via | Selective and Inter-related Distillation |
| Side Scan Sonar Image Super Resolution | via | Region-Selective Sparse Coding |
| Side-Tuning: A Baseline for Network Adaptation | via | Additive Side Networks |
| Sidelobe reduction | via | adaptive FIR filtering in SAR imagery |
| SIDGAN: High-Resolution Dubbed Video Generation | via | Shift-Invariant Learning |
| Sign Spotting | via | Multi-modal Fusion and Testing Time Transferring |
| Signal Classification in Quotient Spaces | via | Globally Optimal Variational Calculus |
| Signal-Dependent Noise Estimation for a Real-Camera Model | via | Weight and Shape Constraints |
| Signal-dependent Video Noise Estimator | via | Inter-frame Signal Suppression, A |
| Signal-Preserving Erratic Noise Attenuation | via | Iterative Robust Sparsity-Promoting Filter |
| Signature Recognition: Human Performance Analysis vs. Automatic System and Feature Extraction | via | Crowdsourcing |
| Signed Graph Metric Learning | via | Gershgorin Disc Perfect Alignment |
| Silhouette Analysis-Based Action Recognition | via | Exploiting Human Poses |
| Silhouette-based gait recognition | via | deterministic learning |
| Silhouette-based gesture and action recognition | via | modeling trajectories on Riemannian shape manifolds |
| Sim-to-Real 6D Object Pose Estimation | via | Iterative Self-training for Robotic Bin Picking |
| Sim-To-Real | via | Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks |
| Sim-To-Real | via | Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks |
| SimAN: Exploring Self-Supervised Representation Learning of Scene Text | via | Similarity-Aware Normalization |
| Similarity mapping for robust face recognition | via | a single training sample per person |
| Similarity-based image classification | via | kernelized sparse representation |
| Simple and Effective Out-of-Distribution Detection | via | Cosine-based Softmax Loss |
| simple and efficient filter feature selection method | via | document-term matrix unitization, A |
| Simple and Generic Framework for Feature Distillation | via | Channel-wise Transformation, A |
| Simple Parallel EM Algorithm for Statistical Learning | via | Mixture Models, A |
| Simple Strategy to Provable Invariance | via | Orbit Mapping, A |
| Simplified mirror-based camera pose computation | via | rotation averaging |
| Simplifying Gaussian mixture model | via | model similarity |
| Simulation of Fractional Brownian Surfaces | via | Spectral Synthesis on Manifolds |
| Simulation of ISAR Imaging for a Space Target and Reconstruction Under Sparse Sampling | via | Compressed Sensing |
| Simulation of Postoperative Facial Appearances | via | Geometric Deep Learning for Efficient Orthognathic Surgical Planning |
| Simultaneous Active Learning of Classifiers: Attributes | via | Relative Feedback |
| Simultaneous Activity Attenuation Reconstruction in Positron Emission Tomography | via | Maximum Likelihood and Iterative Methods |
| Simultaneous bias correction and image segmentation | via | L0 regularized Mumford-Shah model |
| Simultaneous Denoising and Illumination Correction | via | Local Data-Fidelity and Nonlocal Regularization |
| Simultaneous Detection of Multiple Facial Action Units | via | Hierarchical Task Structure Learning |
| Simultaneous Dimensionality Reduction and Classification | via | Dual Embedding Regularized Nonnegative Matrix Factorization |
| Simultaneous dimensionality reduction and human age estimation | via | kernel partial least squares regression |
| Simultaneous estimation of image quality and distortion | via | multi-task convolutional neural networks |
| Simultaneous Face Completion and Frontalization | via | Mask Guided Two-Stage GAN |
| Simultaneous feature selection and classifier training | via | linear programming: a case study for face expression recognition |
| Simultaneous Image Classification and Annotation | via | Biased Random Walk on Tri-relational Graph |
| Simultaneous local clustering and unsupervised feature selection | via | strong space constraint |
| Simultaneous Multiple 3D Motion Estimation | via | Mode Finding on Lie Groups |
| Simultaneous positive sequential vectors modeling and unsupervised feature selection | via | continuous hidden Markov models |
| Simultaneous Radio Frequency and Wideband Interference Suppression in SAR Signals | via | Sparsity Exploitation in Time-Frequency Domain |
| Simultaneous recognition of facial expression and identity | via | sparse representation |
| Simultaneous Registration of Location and Orientation in Intravascular Ultrasound Pullbacks Pairs | via | 3D Graph-Based Optimization |
| Simultaneous Segmentation and Filtering | via | Reduced Graph Cuts |
| Simultaneous Super-Resolution and Target Detection of Forward-Looking Scanning Radar | via | Low-Rank and Sparsity Constrained Method |
| Simultaneous Tracking and Verification | via | Sequential Posterior Estimation |
| Simultaneous variational image segmentation and object recognition | via | shape sparse representation |
| Simultaneous video synchronization and rare event detection | via | Cross-Entropy Monte Carlo optimization |
| Single Array Approach for Infrasound Signal Discrimination from Quarry Blasts | via | Machine Learning, A |
| Single depth image super-resolution and denoising based on sparse graphs | via | structure tensor |
| Single depth map super-resolution | via | joint non-local self-similarity modeling and local multi-directional gradient-guided regularization |
| Single Domain Generalization | via | Normalised Cross-correlation Based Convolutions |
| Single Face Image Super-Resolution | via | Solo Dictionary Learning |
| Single Image 3D Shape Retrieval | via | Cross-Modal Instance and Category Contrastive Learning |
| Single Image Backdoor Inversion | via | Robust Smoothed Classifiers |
| Single image based 3D human pose estimation | via | uncertainty learning |
| Single Image Brightening | via | Multi-Scale Exposure Fusion With Hybrid Learning |
| Single Image Colorization | via | Modified Cyclegan |
| Single Image De-Hazing | via | Multiscale Wavelet Decomposition and Estimation with Fractional Gradient-Anisotropic Diffusion Fusion |
| Single Image Defocus Deblurring | via | Implicit Neural Inverse Kernels |
| Single Image Defogging | via | Recurrent Bilateral Learning |
| Single image dehazing | via | a dual-fusion method |
| Single Image Dehazing | via | a Joint Deep Modeling |
| Single image dehazing | via | an improved atmospheric scattering model |
| Single Image Dehazing | via | Artificial Multiple Shots And Multidimensional Context |
| Single Image Dehazing | via | Conditional Generative Adversarial Network |
| Single image dehazing | via | decomposition and enhancement |
| Single Image Dehazing | via | Dual-Path Recurrent Network |
| Single Image Dehazing | via | Image Generating |
| Single Image Dehazing | via | Model-Based Deep-Learning |
| Single Image Dehazing | via | Multi-Scale Convolutional Neural Networks |
| Single Image Dehazing | via | Multi-Scale Convolutional Neural Networks with Holistic Edges |
| Single Image Dehazing | via | Multi-Scale Gradient Domain Contrast Enhancement |
| Single Image Dehazing | via | Region Adaptive Two-Shot Network |
| Single image dehazing | via | reliability guided fusion |
| Single Image Dehazing | via | Semi-Supervised Domain Translation and Architecture Search |
| Single Image Depth Estimation Trained | via | Depth From Defocus Cues |
| Single Image Deraining | via | a Recurrent Multi-Attention Enhancement Network |
| Single image deraining | via | decorrelating the rain streaks and background scene in gradient domain |
| Single Image Deraining | via | Two Stages: Bilateral Learning and Feature Decoupling |
| Single Image Haze Removal | via | Region Detection Network |
| Single Image Interpolation | via | Adaptive Nonlocal Sparsity-Based Modeling |
| Single image rain removal | via | a deep decomposition-composition network |
| Single image rain removal | via | multi-module deep grid network |
| Single Image Reflection Separation | via | Component Synergy |
| Single image shadow detection | via | uncertainty analysis and GCN-based refinement strategy |
| Single Image Shadow Removal | via | Neighbor-Based Region Relighting |
| Single Image Super Resolution Based on Deep Residual Network | via | Lateral Modules |
| Single Image Super Resolution | via | a Refined Densely Connected Inception Network |
| Single image super resolution | via | neighbor reconstruction |
| Single Image Super Resolution | via | Neighbor Reconstruction |
| Single image super resolution | via | texture constrained sparse representation |
| Single image super-resolution | via | 2D nonlocal sparse representation |
| Single Image Super-Resolution | via | a Dual Interactive Implicit Neural Network |
| Single Image Super-Resolution | via | a Holistic Attention Network |
| Single Image Super-Resolution | via | A Progressive Mixture Model |
| Single Image Super-Resolution | via | Adaptive High-Dimensional Non-Local Total Variation and Adaptive Geometric Feature |
| Single image super-resolution | via | adaptive sparse representation and low-rank constraint |
| Single Image Super-Resolution | via | Adaptive Transform-Based Nonlocal Self-Similarity Modeling and Learning-Based Gradient Regularization |
| Single Image Super-Resolution | via | Cascaded Parallel Multisize Receptive Field |
| Single Image Super-Resolution | via | Convolutional Neural Network and Total Variation Regularization |
| Single Image Super-Resolution | via | Global-Context Attention Networks |
| Single image super-resolution | via | hybrid resolution NSST prediction |
| Single image super-resolution | via | internal gradient similarity |
| Single Image Super-Resolution | via | Locally Regularized Anchored Neighborhood Regression and Nonlocal Means |
| Single Image Super-Resolution | via | Multi-Scale Information Polymerization Network |
| Single Image Super-Resolution | via | Multiple Mixture Prior Models |
| Single image super-resolution | via | phase congruency analysis |
| Single image super-resolution | via | projective dictionary learning with anchored neighborhood regression |
| Single Image Super-Resolution | via | Residual Neuron Attention Networks |
| Single image super-resolution | via | sparse KPCA and regression |
| Single Image Superresolution | via | Directional Group Sparsity and Directional Features |
| Single Person Dense Pose Estimation | via | Geometric Equivariance Consistency |
| Single Photon Lidar in Mobile Laser Scanning: The Sampling Rate Problem And Initial Solutions | via | Spatial Correlations |
| Single Sample Face Recognition Under Varying Illumination | via | QRCP Decomposition |
| Single Stage Virtual Try-On | via | Deformable Attention Flows |
| Single Traffic Image Deraining | via | Similarity-Diversity Model |
| Single View Depth Estimation | via | Dense Convolution Network with Self-supervision |
| Single-/Multi-Source Domain Adaptation | via | domain separation: A simple but effective method |
| Single-Domain Generalization for Semantic Segmentation | via | Dual-Level Domain Augmentation |
| Single-Domain Generalized Object Detection in Urban Scene | via | Cyclic-Disentangled Self-Distillation |
| Single-Image 3D Pose Estimation for Texture-Less Object | via | Symmetric Prior |
| Single-Image Crowd Counting | via | Multi-Column Convolutional Neural Network |
| Single-Image Dehazing | via | Compositional Adversarial Network |
| Single-Image Dehazing | via | Dark Channel Prior and Adaptive Threshold |
| Single-Image Dehazing | via | Optimal Transmission Map Under Scene Priors |
| Single-Image Piece-Wise Planar 3D Reconstruction | via | Associative Embedding |
| Single-Image Rain Removal | via | Multi-Scale Cascading Image Generation |
| Single-Image Reflection Removal | via | a Two-Stage Background Recovery Process |
| Single-Image Specular Highlight Removal | via | Real-World Dataset Construction |
| Single-image super-resolution in RGB space | via | group sparse representation |
| single-image super-resolution method | via | low-rank matrix recovery and nonlinear mappings, A |
| Single-Image Super-Resolution Reconstruction | via | Learned Geometric Dictionaries and Clustered Sparse Coding |
| Single-Image Super-Resolution | via | an Iterative Reproducing Kernel Hilbert Space Method |
| Single-Image Super-Resolution | via | Linear Mapping of Interpolated Self-Examples |
| Single-image super-resolution | via | patch-based and group-based local smoothness modeling |
| Single-Image Super-Resolution | via | Sparse Coding Regression |
| Single-pixel compressive imaging in shift-invariant spaces | via | exact wavelet frames |
| Single-Sample Face Recognition with Image Corruption and Misalignment | via | Sparse Illumination Transfer |
| Single-view robot pose and joint angle estimation | via | render & compare |
| Singularities and Regularities on Line Pictures | via | Symmetrical Trapezoids |
| SINT++: Robust Visual Tracking | via | Adversarial Positive Instance Generation |
| SIR: Self-Supervised Image Rectification | via | Seeing the Same Scene From Multiple Different Lenses |
| SIRV-Based High-Resolution PolSAR Image Speckle Suppression | via | Dual-Domain Filtering |
| SIT-SR 3D: Self-supervised slice interpolation | via | transfer learning for 3D volume super-resolution |
| Site Selection | via | Learning Graph Convolutional Neural Networks: A Case Study of Singapore |
| Size Distribution Estimation of Stone Fragments | via | Digital Image Processing |
| Size Does Matter: Size-aware Virtual Try-on | via | Clothing-oriented Transformation Try-on Network |
| Skeleton Extraction | via | Anisotropic Heat Flow |
| Skeleton Family Generator | via | Physics-Based Deformable Models, A |
| Skeleton Generation of Engineering Drawings | via | Contour Matching |
| Skeleton Neural Networks | via | Low-Rank Guided Filter Pruning |
| Skeleton-based action recognition | via | spatial and temporal transformer networks |
| Skeletonization of Binary Images with Nonuniform Width | via | Block Decomposition and Contour Vector Matching |
| Skeletonization | via | Distance Maps and Level Sets |
| Skeletonization | via | the Realization of the Fire Front's Propagation and Extinction in Digital Binary Shapes |
| Sketch based Community Detection | via | Representative Node Sampling |
| Sketch Based Image Retrieval | via | Image-Aided Cross Domain Learning |
| Sketch Retrieval | via | Dense Stroke Features |
| Sketch retrieval | via | local dense stroke features |
| Sketch-Based 3D Model Retrieval | via | Multi-feature Fusion |
| Sketch-based 3D shape retrieval | via | teacher-student learning |
| Sketch-Based Cross-Domain Image Retrieval | via | Heterogeneous Network |
| Sketch-Based Image Retrieval | via | Siamese Convolutional Neural Network |
| Sketch-Based Shape Retrieval | via | Best View Selection and a Cross-Domain Similarity Measure |
| SketchInverter: Multi-Class Sketch-Based Image Generation | via | GAN Inversion |
| SketchSampler: Sketch-Based 3D Reconstruction | via | View-Dependent Depth Sampling |
| Skew Symmetry Detection | via | Invariant Signatures |
| Skin detection | via | linear regression tree |
| Skin Lesion Segmentation | via | Dense Connected Deconvolutional Network |
| Skip-Plan: Procedure Planning in Instructional Videos | via | Condensed Action Space Learning |
| Sleep Apnea Detection | via | Depth Video and Audio Feature Learning |
| Slide Screening of Metastases in Lymph Nodes | via | Conditional, Fully Convolutional Segmentation |
| SLoSH: Set Locality Sensitive Hashing | via | Sliced-Wasserstein Embeddings |
| Small and accurate heatmap-based face alignment | via | distillation strategy and cascaded architecture |
| Small Object Detection | via | Coarse-to-fine Proposal Generation and Imitation Learning |
| Smart Ambient Sound Analysis | via | Structured Statistical Modeling |
| SMOKE: Single-Stage Monocular 3D Object Detection | via | Keypoint Estimation |
| Smooth Chan-Vese segmentation | via | graph cuts |
| Smooth Functional and Structural Maps on the Neocortex | via | Orthonormal Bases of the Laplace-Beltrami Operator |
| Smoothing low-SNR molecular images | via | anisotropic median-diffusion |
| SMRFI: Shape matching | via | registration of vector-valued feature images |
| SNAP: Shaping neural architectures progressively | via | information density criterion |
| Snapshot Compressive ToF+Spectral Imaging | via | Optimized Color-Coded Apertures |
| Snapshot High Dynamic Range Imaging | via | Sparse Representations and Feature Learning |
| Snapshot Multispectral Image Completion | via | Self-Dictionary Transformed Tensor Nuclear Norm Minimization With Total Variation |
| Snow Coverage Mapping by Learning from Sentinel-2 Satellite Multispectral Images | via | Machine Learning Algorithms |
| Snowflake Removal for Videos | via | Global and Local Low-Rank Decomposition |
| Social behavior analysis of Drosophila larvae | via | motion activity recognition |
| Social multi-modal event analysis | via | knowledge-based weighted topic model |
| Social Relation Recognition From Videos | via | Multi-Scale Spatial-Temporal Reasoning |
| Social-Aware Movie Recommendation | via | Multimodal Network Learning |
| Social-Aware Pedestrian Trajectory Prediction | via | States Refinement LSTM |
| Socialized Mobile Photography: Learning to Photograph With Social Context | via | Mobile Devices |
| SOD-MTGAN: Small Object Detection | via | Multi-Task Generative Adversarial Network |
| SoDaCam: Software-defined Cameras | via | Single-Photon Imaging |
| Soft Margin Bayes-Point-Machine Classification | via | Adaptive Direction Sampling |
| soft multiphase segmentation model | via | Gaussian mixture, A |
| Soft Person Reidentification Network Pruning | via | Blockwise Adjacent Filter Decaying |
| Soft Transfer Learning | via | Gradient Diagnosis for Visual Relationship Detection |
| Softmesh: Learning Probabilistic Mesh Connectivity | via | Image Supervision |
| Software expert discovery | via | knowledge domain embeddings in a collaborative network |
| Soil Biochar Quantification | via | Hyperspectral Unmixing |
| Soil Moisture Mapping Based on Multi-Source Fusion of Optical, Near-Infrared, Thermal Infrared, and Digital Elevation Model Data | via | the Bayesian Maximum Entropy Framework |
| Soil Moisture Prediction from Remote Sensing Images Coupled with Climate, Soil Texture and Topography | via | Deep Learning |
| Solution of Camera Registration Problem | via | 3D-2D Parameterized Model Matching for On-Road Navigation |
| Solving dense stereo matching | via | quadratic programming |
| Solving Generalized Vehicle Routing Problem With Occasional Drivers | via | Evolutionary Multitasking |
| Solving Jigsaw Puzzles | via | Nonconvex Quadratic Programming With the Projected Power Method |
| Solving Large Multicut Problems for Connectomics | via | Domain Decomposition |
| Solving large-scale general phase retrieval problems | via | a sequence of convex relaxations |
| Solving Satisfiability | via | Boltzmann Machines |
| Solving Schrodinger equation | via | Tartaglia/Pascal triangle: A possible link between stochastic processing and quantum mechanics |
| Solving Vision Problems | via | Filtering |
| Source camera attribution | via | PRNU emphasis: Towards a generalized multiplicative model |
| Source localization on graphs | via | L_1 recovery and spectral graph theory |
| Source-free and black-box domain adaptation | via | distributionally adversarial training |
| Source-Free Domain Adaptation | via | Distribution Estimation |
| Source-Free Domain Adaptation | via | Target Prediction Distribution Searching |
| Space-Efficient Outlines from Image Data | via | Vertex Minimization and Grid Constraints |
| Spacetime Stereo and 3D Flow | via | Binocular Spatiotemporal Orientation Analysis |
| Sparse 2-D Canonical Correlation Analysis | via | Low Rank Matrix Approximation for Feature Extraction |
| Sparse Adversarial Attack | via | Perturbation Factorization |
| Sparse and Dense Hybrid Representation | via | Dictionary Decomposition for Face Recognition |
| Sparse approximation of 3D shapes | via | spectral graph wavelets |
| Sparse Array Design for Adaptive Beamforming | via | Semidefinite Relaxation |
| Sparse Coding for Classification | via | Discrimination Ensemble |
| Sparse feature selection | via | fast embedding spectral analysis |
| Sparse generalized Fourier series | via | collocation-based optimization |
| Sparse kernel feature extraction | via | support vector learning |
| Sparse Network Completion | via | Discrete-Constrained Nuclear-Norm Minimization |
| Sparse PCA | via | L_2,p-Norm Regularization for Unsupervised Feature Selection |
| Sparse Point Estimation for Bayesian Regression | via | Simulated Annealing |
| Sparse Pose Regression | via | Componentwise Clustering Feature Point Representation |
| Sparse representation of cast shadows | via | L1-regularized least squares |
| Sparse representations for facial expressions recognition | via | L1 optimization |
| Sparse SAR Imaging Method for Ground Moving Target | via | GMTSI-Net |
| Sparse SAR Imaging Method for Low-Oversampled Staggered Mode | via | Compound Regularization, A |
| Sparse Scene Recovery for High-Resolution Automobile FMCW SAR | via | Scaled Compressed Sensing |
| Sparse sequence recovery | via | a maximum a posteriori estimation |
| Sparse Signal Reconstruction | via | Iterative Support Detection |
| Sparse signal recovery | via | infimal convolution based penalty |
| Sparse Signal Recovery | via | Multi-Residual Based Greedy Method |
| Sparse Signal Recovery | via | Optimized Orthogonal Matching Pursuit |
| Sparse subspace clustering | via | smoothed LP minimization |
| Sparse tensor recovery | via | combined first and second order high-accuracy total variation |
| Sparse unmixing | via | variable splitting and augmented Lagrangian for vegetation and urban area classification using Landsat data |
| Sparse-induced similarity measure: mono-modal image registration | via | sparse-induced similarity measure |
| Sparse-to-Dense Depth Estimation in Videos | via | High-Dimensional Tensor Voting |
| Sparse-view statistical iterative head CT image reconstruction | via | joint regularization |
| Sparsity induced prototype learning | via | lp,1-norm grouping |
| Sparsity-Based Color Image Super Resolution | via | Exploiting Cross Channel Constraints |
| Sparsity-based image denoising | via | dictionary learning and structural clustering |
| Sparsity-Based Image Error Concealment | via | Adaptive Dual Dictionary Learning and Regularization |
| Sparsity-Based Spatiotemporal Fusion | via | Adaptive Multi-Band Constraints |
| Sparsity-Based Two-Dimensional DOA Estimation for Co-Prime Planar Array | via | Enhanced Matrix Completion |
| SpaRTA Tracking Across Occlusions | via | Partitioning of 3D Clouds of Points |
| Spatial Adjacency Analysis of Citygml Buildings | via | 3d Topological Data Structure |
| Spatial and temporal information fusion for human action recognition | via | Center Boundary Balancing Multimodal Classifier |
| Spatial and Visual Perspective-Taking | via | View Rotation and Relation Reasoning for Embodied Reference Understanding |
| Spatial Diversity in Radar Detection | via | Active Reconfigurable Intelligent Surfaces |
| Spatial Geometric Reasoning for Room Layout Estimation | via | Deep Reinforcement Learning |
| Spatial Insights into Drought Severity: Multi-Index Assessment in Malopolska, Poland, | via | Satellite Observations |
| Spatial Reasoning | via | Active Observation |
| Spatial Resolution Enhancement of Vegetation Indexes | via | Fusion of Hyperspectral and Multispectral Satellite Data |
| Spatial Sensor Selection | via | Gaussian Markov Random Fields |
| Spatial Surface Reflectance Retrievals for Visible/Shortwave Infrared Remote Sensing | via | Gaussian Process Priors |
| Spatial Undersampling for Synthetic Aperture Ultrasonic Imaging | via | Digital Spotlighting Technique |
| Spatial Verification | via | Compact Words for Mobile Instance Search |
| Spatial-Spectral Feature Extraction | via | Deep ConvLSTM Neural Networks for Hyperspectral Image Classification |
| Spatial-temporal representation for video re-identification | via | key images |
| Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution | via | Cycle-Projected Mutual Learning |
| Spatially gap free analysis of aerosol type grids in China: First retrieval | via | satellite remote sensing and big data analytics |
| Spatially Sparse, Temporally Smooth MEG | via | Vector L_0 |
| Spatially-Adaptive Wavelet Image Compression | via | Structural Masking |
| Spatially-Resolved Hydraulic Conductivity Estimation | via | Poroelastic Magnetic Resonance Elastography |
| Spatio-Temporal Activity Detection | via | Joint Optimization of Spatial and Temporal Localization |
| Spatio-Temporal Attention and Magnification for Classification of Parkinson's Disease from Videos Collected | via | the Internet |
| Spatio-Temporal Graph Convolutional Networks | via | View Fusion for Trajectory Data Analytics |
| Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction | via | Deep Attentive Adaptation Networks |
| Spatio-temporal motion segmentation | via | level set partial differential equation |
| Spatio-Temporal Person Retrieval | via | Natural Language Queries |
| Spatio-Temporally Coherent Interactive Video Object Segmentation | via | Efficient Filtering |
| Spatiotemporal Fusion of MODIS and Landsat-7 Reflectance Images | via | Compressed Sensing |
| Spatiotemporal Fusion of Satellite Images | via | Very Deep Convolutional Networks |
| Spatiotemporal Learning | via | Mixture Importance Gaussian Filtering With Sparse Regularization |
| Spatiotemporal Reflectance Fusion | via | Sparse Representation |
| Spatiotemporal Salience | via | Centre-Surround Comparison of Visual Spacetime Orientations |
| Spatiotemporal Stereo and Scene Flow | via | Stequel Matching |
| Spatiotemporal stereo | via | spatiotemporal quadric element (stequel) matching |
| Spatiotemporal traffic data imputation | via | tensorial weighted Schatten-p norm minimization |
| SPE-Net: Boosting Point Cloud Analysis | via | Rotation Robustness Enhancement |
| Speaker Classification | via | Supervised Hierarchical Clustering Using ICA Mixture Model |
| Speckle noise reduction | via | phase-aware clustering-based non-local simultaneous sparse coding |
| Speckle noise removal | via | nonlocal low-rank regularization |
| Speckle Reduction | via | Higher Order Total Variation Approach |
| Speckle-Noise Reduction | via | Rotated Elliptical-Thresholding in an Homomorphic Complex-Wavelet Domain |
| Spect image restoration | via | Recursive Inverse Filtering constrained by a probabilistic MRI atlas |
| Spectral Clustering on Grassmann Manifold | via | Double Low Rank Constraint, A |
| Spectral clustering | via | ensemble deep autoencoder learning (SC-EDAE) |
| Spectral CT Reconstruction | via | Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field Regularization |
| Spectral Demons: Image Registration | via | Global Spectral Correspondence |
| Spectral Dichromatic Parameter Recovery from Two Views | via | Total Variation Hyper-priors |
| Spectral Estimation Framework for Phase Retrieval | via | Bregman Divergence Minimization, A |
| Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields | via | Multi-Task Deep Learning |
| Spectral Shape Recovery and Analysis | via | Data-driven Connections |
| Spectral Super Resolution of Hyperspectral Images | via | Coupled Dictionary Learning |
| Spectral Unmixing | via | Compressive Sensing |
| Spectral Unmixing | via | Data-Guided Sparsity |
| Spectral-Spatial Classification of Hyperspectral Data | via | Morphological Component Analysis-Based Image Separation |
| Spectral-Spatial Classification of Hyperspectral Images Using ICA and Edge-Preserving Filter | via | an Ensemble Strategy |
| Spectral-Spatial Classification of Hyperspectral Images | via | Spatial Translation-Invariant Wavelet-Based Sparse Representation |
| Spectral-Spatial Hyperspectral Image Classification | via | Boundary-Adaptive Deep Learning |
| Spectral-Spatial Hyperspectral Image Classification | via | Multiscale Adaptive Sparse Representation |
| Spectral-Spatial Hyperspectral Image Classification | via | Robust Low-Rank Feature Extraction and Markov Random Field |
| Spectral-spatial hyperspectral image ensemble classification | via | joint sparse representation |
| Specular Reflectance Suppression in Endoscopic Imagery | via | Stochastic Bayesian Estimation |
| Specularity and Shadow Interpolation | via | Robust Polynomial Texture Maps |
| Specularity Removal from Imaging Spectroscopy Data | via | Entropy Minimisation |
| Speech driven video editing | via | an audio-conditioned diffusion model |
| Speech emotion recognition | via | learning analogies |
| Speech Emotion Recognition | via | Multi-Level Attention Network |
| Speech-Visual Emotion Recognition | via | Modal Decomposition Learning |
| Speed Is All You Need: On-Device Acceleration of Large Diffusion Models | via | GPU-Aware Optimizations |
| Speedy and accurate image super-resolution | via | deeply recursive CNN with skip connection and network in network |
| SPG: Unsupervised Domain Adaptation for 3D Object Detection | via | Semantic Point Generation |
| Sphere Detection in Kinect Point Clouds | via | the 3D Hough Transform |
| SphereSR: 360° Image Super-Resolution with Arbitrary Projection | via | Continuous Spherical Image Representation |
| SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search | via | Train-Free Metrics |
| Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity | via | Attention-Guided Compression |
| SpinCam: High-Speed Imaging | via | a Rotating Point-Spread Function |
| SPLiT: Single Portrait Lighting Estimation | via | a Tetrad of Face Intrinsics |
| Spontaneous micro-expression spotting | via | geometric deformation modeling |
| Sports Field Localization | via | Deep Structured Models |
| Sports Field Registration | via | Keypoints-aware Label Condition |
| Sports Video Captioning | via | Attentive Motion Representation and Group Relationship Modeling |
| Sports Video Mining | via | Multichannel Segmental Hidden Markov Models |
| Spreading of Localized Information across an Entire 3D Electrical Resistivity Volume | via | Constrained EMI Inversion Based on a Realistic Prior Distribution |
| SPViT: Enabling Faster Vision Transformers | via | Latency-Aware Soft Token Pruning |
| SQL: Superpixels | via | quaternary labeling |
| Square Attack: A Query-efficient Black-box Adversarial Attack | via | Random Search |
| SRAGL-AWCL: A two-step multi-view clustering | via | sparse representation and adaptive weighted cooperative learning |
| SRDA: Generating Instance Segmentation Annotation | via | Scanning, Reasoning and Domain Adaptation |
| SRN: The Movie Character Relationship Analysis | via | Social Network |
| Sscgan: Facial Attribute Editing | via | Style Skip Connections |
| SSL-DC: Improving Transduxctive Few-Shot Learning | via | Self-Supervised Learning and Distribution Calibration |
| SSN: Learning Sparse Switchable Normalization | via | SparsestMax |
| SSN: Learning Sparse Switchable Normalization | via | SparsestMax |
| ST-P3: End-to-End Vision-Based Autonomous Driving | via | Spatial-Temporal Feature Learning |
| Stabilizing Visual Reinforcement Learning | via | Asymmetric Interactive Cooperation |
| Stable and compact face recognition | via | unlabeled data driven sparse representation-based classification |
| Stable discriminative dictionary learning | via | discriminative deviation |
| Stable Shape Comparison of Surfaces | via | Reeb Graphs |
| Stable Signal Recovery | via | Randomly Enhanced Adaptive Subspace Pursuit Method |
| Staged Sketch-to-Image Synthesis | via | Semi-Supervised Generative Adversarial Networks |
| State of Power Prediction for Lithium-Ion Batteries in Electric Vehicles | via | Wavelet-Markov Load Analysis |
| Static Adjustment Method of Secondary Suspension Load for Six-Axle Locomotives | via | Modified Mayfly Optimization Algorithm, The |
| Static Optimal Sensor Selection | via | Linear Integer Programming: The Orthogonal Case |
| Static output feedback control problem for polynomial fuzzy systems | via | a sum of squares (SOS) approach |
| Statistical Classification | via | Robust Hypothesis Testing: Non-Asymptotic and Simple Bounds |
| Statistical Model-Based Detector | via | Texture Weight Map: Application in Re-Sampling Authentication |
| Statistical Multiscale Image Segmentation | via | Alpha-Stable Modeling |
| Statistical Priors for Efficient Combinatorial Optimization | via | Graph Cuts |
| Statistical Shape Analysis for Population Studies | via | Level-Set Based Shape Morphing |
| Statistical Shape Analysis of Neuroanatomical Structures | via | Level-Set-based Shape Morphing |
| Statistical-Based Segmentation of Bone Structures | via | Continuous Max-Flow Optimization |
| Statistics of shape | via | principal geodesic analysis on lie groups |
| Stay in Grid: Improving Video Captioning | via | Fully Grid-Level Representation |
| Stealthy Physical Masked Face Recognition Attack | via | Adversarial Style Optimization |
| STEERER: Resolving Scale Variations for Counting and Localization | via | Selective Inheritance Learning |
| SteerNeRF: Accelerating NeRF Rendering | via | Smooth Viewpoint Trajectory |
| stereo approach that handles the matting problem | via | image warping, A |
| Stereo Cloud Heights From Multispectral IR Imagery | via | Region-of-Interest Segmentation |
| Stereo Confidence Estimation | via | Locally Adaptive Fusion and Knowledge Distillation |
| Stereo Correspondence with Compact Windows | via | Minimum Ratio Cycle |
| Stereo Depth Mapping | via | Axis-Aligned Warping |
| Stereo Disparity Estimation | via | Joint Supervised, Unsupervised, and Weakly Supervised Learning |
| Stereo Matching by Compact Windows | via | Minimum Ratio Cycle |
| Stereo Matching | via | Disparity Estimation and Surface Modeling |
| Stereo Matching | via | Dual Fusion |
| Stereo Matching | via | Learning Multiple Experts Behaviors |
| Stereo matching-based definition of saliency | via | sample-based Kullback-Leibler divergence estimation |
| Stereo Super-Resolution | via | a Deep Convolutional Network |
| Stereo Superpixel Segmentation | via | Decoupled Dynamic Spatial-Embedding Fusion Network |
| StereoPIFu: Depth Aware Clothed Human Digitization | via | Stereo Vision |
| Stereoscopic Image Stitching | via | Disparity-Constrained Warping and Blending |
| Stochastic Remote Sensing Event Classification over Adaptive Posture Estimation | via | Multifused Data and Deep Belief Network |
| Stochastic String Stability of Vehicle Platoons | via | Cooperative Adaptive Cruise Control With Lossy Communication |
| Stochastic Trajectory Prediction | via | Motion Indeterminacy Diffusion |
| STP-SOM: Scale-Transfer Learning for Pansharpening | via | Estimating Spectral Observation Model |
| STPNet: Quantifying the Uncertainty of Electric Vehicle Charging Demand | via | Long-Term Spatiotemporal Traffic Flow Prediction Intervals |
| Straight to the Point: Fast-Forwarding Videos | via | Reinforcement Learning Using Textual Data |
| Strain Calculation from Sinusoidal Tagged MR Images | via | Moire Analysis |
| Strain-Based Parameters for Infarct Localization: Evaluation | via | a Learning Algorithm on a Synthetic Database of Pathological Hearts |
| Strategy for aesthetic photography recommendation | via | collaborative composition model |
| strategy of classification | via | sparse dictionary learned by non-negative K-SVD, A |
| Streaming Video Segmentation | via | Short-Term Hierarchical Segmentation and Frame-by-Frame Markov Random Field Optimization |
| Street-Level Image Localization Based on Building-Aware Features | via | Patch-Region Retrieval under Metropolitan-Scale |
| Street-to-shop: Cross-scenario clothing retrieval | via | parts alignment and auxiliary set |
| Strengthening Skeletal Action Recognizers | via | Leveraging Temporal Patterns |
| Structural Assessment | via | Ground Penetrating Radar at the Consoli Palace of Gubbio (Italy) |
| Structural biomarker-based Alzheimer's disease detection | via | ensemble learning techniques |
| Structural Matching | via | Optimal Basis Graphs |
| Structure and Motion from Two Perspective Views | via | Planar Patch |
| Structure and Texture-Aware Image Decomposition | via | Training a Neural Network |
| Structure from Motion | via | Two-State Pipeline of Extended Kalman Filters |
| Structure Preserving Image Interpolation | via | Adaptive 2D Autoregressive Modeling |
| Structure-Aware Framework of Unsupervised Cross-Modality Domain Adaptation | via | Frequency and Spatial Knowledge Distillation, A |
| Structure-aware indoor scene reconstruction | via | two levels of abstraction |
| Structure-Aware Surface Reconstruction | via | Primitive Assembly |
| Structure-Preserving Image Super-Resolution | via | Contextualized Multitask Learning |
| Structure-Preserving Texture Smoothing | via | Adaptive Patches |
| Structure-Preserving Texture Smoothing | via | Scale-Aware Bilateral Total Variation |
| Structure-Revealing Low-Light Image Enhancement | via | Robust Retinex Model |
| Structure-Sensitive Saliency Detection | via | Multilevel Rank Analysis in Intrinsic Feature Space |
| Structure-Sensitive Superpixels | via | Geodesic Distance |
| Structured Landmark Detection | via | Topology-adapting Deep Graph Learning |
| Structured Multi-Level Interaction Network for Video Moment Localization | via | Language Query |
| Structured Neural Motifs: Scene Graph Parsing | via | Enhanced Context |
| Structured sparse K-means clustering | via | Laplacian smoothing |
| Structured Visual Feature Learning for Classification | via | Supervised Probabilistic Tensor Factorization |
| Structured Visual Search | via | Composition-aware Learning |
| StructureFlow: Image Inpainting | via | Structure-Aware Appearance Flow |
| Student Network Learning | via | Evolutionary Knowledge Distillation |
| Students Perception towards the Implementation of Computer Graphics Technology in Class | via | Unified Theory of Acceptance and Use of Technology (UTAUT) Model |
| Study of visual saliency detection | via | nonlocal anisotropic diffusion equation |
| Style Agnostic 3D Reconstruction | via | Adversarial Style Transfer |
| Style Image Harmonization | via | Global-local Style Mutual Guided |
| Style Transfer Between Microscopy and Magnetic Resonance Imaging | via | Generative Adversarial Network in Small Sample Size Settings |
| Style Transfer Using Optimal Transport | via | Wasserstein Distance |
| Style Transfer | via | Image Component Analysis |
| Style Transfer | via | Texture Synthesis |
| Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer | via | Local-Style-Aware Hair Alignment |
| StyleDiffusion: Controllable Disentangled Style Transfer | via | Diffusion Models |
| StyleFormer: Real-time Arbitrary Style Transfer | via | Parametric Style Composition |
| StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation | via | Pre-trained StyleGAN |
| Stylized image denoising | via | noise style transfer and Quasi Siamese network |
| StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF | via | 2D-3D Mutual Learning |
| Stylizing 3D Scene | via | Implicit Representation and HyperNetwork |
| Stylizing face images | via | multiple exemplars |
| Sub-GAN: An Unsupervised Generative Model | via | Subspaces |
| Sub-Nyquist SAR | via | Fourier Domain Range-Doppler Processing |
| Sub-Nyquist SAR | via | Quadrature Compressive Sampling with Independent Measurements |
| Subband adaptive image denoising | via | bivariate shrinkage |
| Subframe Video Synchronization | via | 3D Phase Correlation |
| Subject Adaptive Affection Recognition | via | Sparse Reconstruction |
| Subjective Quality Evaluation | via | Paired Comparison: Application to Scalable Video Coding |
| Submonthly Surface Water Classification Framework | via | Gap-Fill Imputation and Random Forest Classifiers of Landsat Imagery, A |
| Subspace and motion segmentation | via | local subspace estimation |
| Subspace Clustering | via | Adaptive Non-Negative Representation Learning and Its Application to Image Segmentation |
| Subspace Clustering | via | Good Neighbors |
| Subspace clustering | via | independent subspace analysis network |
| Subspace Clustering | via | Joint Unsupervised Feature Selection |
| Subspace Clustering | via | Learning an Adaptive Low-Rank Graph |
| Subspace Clustering | via | Optimal Direction Search |
| Subspace clustering | via | seeking neighbors with minimum reconstruction error |
| Subspace clustering | via | stacked independent subspace analysis networks with sparse prior information |
| Subspace Clustering | via | Variance Regularized Ridge Regression |
| Subspace Clustering with Priors | via | Sparse Quadratically Constrained Quadratic Programming |
| Subspace Interpolation | via | Dictionary Learning for Unsupervised Domain Adaptation |
| Subspace learning for unsupervised feature selection | via | matrix factorization |
| SubTTD: DOA Estimation | via | Sub-Nyquist Tensor Train Decomposition |
| Sum-Path-Gain Maximization for IRS-Aided MIMO Communication System | via | Riemannian Gradient Descent Network |
| Sumgraph: Video Summarization | via | Recursive Graph Modeling |
| Super Resolution Imaging | via | Sparse Interpolation in Wavelet Domain with Implementation in DSP and GPU |
| Super-Resolution for Land Surface Temperature Retrieval Images | via | Cross-Scale Diffusion Model Using Reference Images |
| Super-Resolution Network for Remote Sensing Images | via | Preclassification and Deep-Shallow Features Fusion |
| Super-Resolution Neural Radiance Field | via | Learning High Frequency Details for High-Fidelity Novel View Synthesis |
| Super-resolution of HEVC videos | via | convex optimization |
| Super-Resolution of Remote Sensing Images | via | a Dense Residual Generative Adversarial Network |
| Super-Resolution Photoacoustic Microscopy | via | Modified Phase Compounding |
| Super-Resolution Sparse Aperture ISAR Sensors Imaging Algorithm | via | the MUSIC Technique, A |
| Super-Resolution | via | Image-Adapted Denoising CNNs: Incorporating External and Internal Learning |
| Super-resolution | via | recapture and Bayesian effect modeling |
| Super-resolution | via | Transform-Invariant Group-Sparse Regularization |
| Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors | via | a Texture Sensitive Residual Network |
| SuperFast: 200× Video Frame Interpolation | via | Event Camera |
| Superior Clone Selection in a Eucalyptus Trial Using Forest Phenotyping Technology | via | UAV-Based DAP Point Clouds and Multispectral Images |
| Superpixels extracted | via | region fusion with boundary constraint |
| Superpixels | via | pseudo-Boolean optimization |
| Superquadric Segmentation in Range Images | via | Fusion of Region and Boundary Information |
| Superresolution for UAV Images | via | Adaptive Multiple Sparse Representation and Its Application to 3-D Reconstruction |
| Superresolution imaging | via | ptychography |
| SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets | via | Jointly Architecture Searching and Parameter Pruning |
| Supervised Anomaly Detection | via | Conditional Generative Adversarial Network and Ensemble Active Learning |
| Supervised dimensionality reduction | via | sequential semidefinite programming |
| Supervised dynamic mode decomposition | via | multitask learning |
| Supervised image segmentation | via | ground truth decomposition |
| Supervised Learning of Semantics-Preserving Hash | via | Deep Convolutional Neural Networks |
| Support Aggregation | via | Non-linear Diffusion with Disparity-Dependent Support-Weights for Stereo Matching |
| Support vector candidates selection | via | Delaunay graph and convex-hull for large and high-dimensional datasets |
| Support Vector Machine Classifier | via | L_0/1 Soft-Margin Loss |
| Suppressing False Alarm in VideoSAR | via | Gradient-Weighted Edge Information |
| Suppressing Mislabeled Data | via | Grouping and Self-attention |
| Suppressing Random Artifacts in Reference Sensor Pattern Noise | via | Decorrelation |
| Surface Displacements Monitoring in Cyprus | via | InSAR and Field Investigation: The Case Studies of Pyrgos-Parekklisia and Pedoulas Villages |
| Surface matching by curvature distribution images generated | via | gaze modeling |
| Surface Networks | via | General Covers |
| Surface Normal Estimation of Tilted Images | via | Spatial Rectifier |
| Surface reconstruction | via | Helmholtz reciprocity with a single image pair |
| Surface Reconstruction | via | Total Least-Squares Adjustment of the Semi-Variogram |
| Surface Registration | via | Foliation |
| Surface Regularity | via | the Estimation of Fractional Brownian Motion Index |
| Surface Subsidence of Nanchang, China 2015-2021 Retrieved | via | Multi-Temporal InSAR Based on Long- and Short-Time Baseline Net |
| Surface Water Mapping from Suomi NPP-VIIRS Imagery at 30 m Resolution | via | Blending with Landsat Data |
| Surface-SOS: Self-Supervised Object Segmentation | via | Neural Surface Representation |
| Surface-Tracing-Based LASAR 3-D Imaging Method | via | Multiresolution Approximation |
| Surfacing of Multiview 3D Drawings | via | Lofting and Occlusion Reasoning, The |
| Surveillance Video Synopsis | via | Scaling Down Objects |
| Survey on Gait Recognition | via | Wearable Sensors, A |
| Survival Prediction | via | Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution |
| SVDFormer: Complementing Point Cloud | via | Self-view Augmentation and Self-structure Dual-generator |
| SW-VAE: Weakly Supervised Learn Disentangled Representation | via | Latent Factor Swapping |
| SwinTextSpotter: Scene Text Spotting | via | Better Synergy between Text Detection and Text Recognition |
| SwipeCut: Interactive Segmentation | via | Seed Grouping |
| Switching clusters' synchronization for discrete space-time complex dynamical networks | via | boundary feedback controls |
| Symbol Recognition | via | Statistical Integration of Pixel-Level Constraint Histograms: A New Descriptor |
| Symmetric Counterparts of Classical 1D Haar Filters for Improved Image Reconstruction | via | Discrete Back-Projection |
| Symmetric deformable image registration | via | optimization of information theoretic measures |
| Symmetric Self-Hilbertian Wavelets | via | Orthogonal Lattice Optimization |
| Symmetry detection | via | contour grouping |
| Symmetry Maps of Free-Form Curve Segments | via | Wave Propagation |
| Symmetry of Shapes | via | Self-Similarity |
| Syn2Real: Forgery Classification | via | Unsupervised Domain Adaptation |
| Synchronisation of partial multi-matchings | via | non-negative factorisations |
| Synchronization of Independently Moving Cameras | via | Motion Recovery |
| Synchronization of Neural Networks | via | Periodic Self-Triggered Impulsive Control and Its Application in Image Encryption |
| Synchronization of Switched Neural Networks | via | Attacked Mode-Dependent Event-Triggered Control and Its Application in Image Encryption |
| Synchronizing Probability Measures on Rotations | via | Optimal Transport |
| Synergy between Face Alignment and Tracking | via | Discriminative Global Consensus Optimization |
| Synthesis of two-dimensional fractional brownian motion | via | circulant embedding |
| Synthesized Texture Quality Assessment | via | Multi-scale Spatial and Statistical Texture Attributes of Image and Gradient Magnitude Coefficients |
| Synthesizing 3D Shapes | via | Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks |
| Synthesizing Environment-Aware Activities | via | Activity Sketches |
| Synthetic aperture imaging using pixel labeling | via | energy minimization |
| Synthetic Aperture Radar Autofocus | via | Semidefinite Relaxation |
| Synthetic aperture radar image despeckling | via | total generalised variation approach |
| Synthetic Aperture Radar Imaging and Motion Estimation | via | Robust Principal Component Analysis |
| Synthetic Generation of Myocardial Blood: Oxygen-Level-Dependent MRI Time Series | via | Structural Sparse Decomposition Modeling |
| Systematic Architectural Design of Scale Transformed Attention Condenser DNNs | via | Multi-Scale Class Representational Response Similarity Analysis |
| T-Skeleton: Accurate scene text detection | via | instance-aware skeleton embedding |
| Table Detection Method for Multipage PDF Documents | via | Visual Seperators and Tabular Structures, A |
| Table Detection | via | Probability Optimization |
| Tackling Micro-Expression Data Shortage | via | Dataset Alignment and Active Learning |
| Tackling the Background Bias in Sparse Object Detection | via | Cropped Windows |
| Tactical Rewind: Self-Correction | via | Backtracking in Vision-And-Language Navigation |
| Tag Refinement for User-Contributed Images | via | Graph Learning and Nonnegative Tensor Factorization |
| Talk-to-Edit: Fine-Grained 2D and 3D Facial Editing | via | Dialog |
| Talk-to-Edit: Fine-Grained Facial Editing | via | Dialog |
| Talking Face Generation | via | Learning Semantic and Temporal Synchronous Landmarks |
| TALL: Temporal Activity Localization | via | Language Query |
| Target Detection in High-Resolution SAR Image | via | Iterating Outliers and Recursing Saliency Depth |
| Target Detection | via | Bayesian-Morphological Saliency in High-Resolution SAR Images |
| Target Group Distribution Pattern Discovery | via | Convolutional Neural Network |
| Target Recognition in SAR Images | via | Multi-Scale Perception and Denoising Representation |
| Target recognition in SAR images | via | sparse representation in the frequency domain |
| Target tracking approach | via | quantum genetic algorithm |
| Target-Oriented High-Resolution SAR Image Formation | via | Semantic Information Guided Regularizations |
| TARGET: Federated Class-Continual Learning | via | Exemplar-Free Distillation |
| Targeted Attack of Deep Hashing | via | Prototype-Supervised Adversarial Networks |
| Task-Driven Semantic Coding | via | Reinforcement Learning |
| Task-Oriented Compact Representation of 3D Point Clouds | via | A Matrix Optimization-Driven Network |
| Task-Specific Fine-Tuning | via | Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification |
| Taxi-Cruising Recommendation | via | Real-Time Information and Historical Trajectory Data |
| Taxi-Passenger's Destination Prediction | via | GPS Embedding and Attention-Based BiLSTM Model |
| Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging | via | Optimization Trajectory Distillation |
| TC-Net: Detecting Noisy Labels | via | Transform Consistency |
| TCNet: Co-Salient Object Detection | via | Parallel Interaction of Transformers and CNNs |
| Tea Sprouts Segmentation | via | Improved Deep Convolutional Encoder-Decoder Network |
| Teacher or supervisor? Effective online knowledge distillation | via | guided collaborative learning |
| Teeth category classification | via | seven-layer deep convolutional neural network with max pooling and global average pooling |
| Telecom Inventory Management | via | Object Recognition and Localisation on Google Street View Images |
| Tell Me What Happened: Unifying Text-guided Video Completion | via | Multimodal Masked Video Generation |
| Tell Your Story: Text-Driven Face Video Synthesis with High Diversity | via | Adversarial Learning |
| Template matching | via | bipartite graph and graph attention mechanism |
| Template Matching | via | Densities on the Roto-Translation Group |
| Temporal Action Localization in Untrimmed Videos | via | Multi-stage CNNs |
| Temporal Action Proposal Generation | via | Deep Feature Enhancement |
| Temporal Action Proposal Generation | via | Multi-Task Feature Learning |
| Temporal color video demosaicking | via | motion estimation and data fusion |
| Temporal color video demosaicking | via | motion estimation and optimal data fusing |
| Temporal Consistent Automatic Video Colorization | via | Semantic Correspondence |
| Temporal Discriminative Micro-Expression Recognition | via | Graph Contrastive Learning |
| Temporal Enhanced Training of Multi-view 3D Object Detector | via | Historical Object Prediction |
| Temporal Moment Localization | via | Natural Language by Utilizing Video Question Answers as a Special Variant and Bypassing NLP for Corpora |
| Temporal rate up-conversion of synthetic aperture radar | via | low-rank matrix recovery |
| Temporal Restricted Visual Tracking | via | Reverse-Low-Rank Sparse Learning |
| Temporal Textual Localization in Video | via | Adversarial Bi-Directional Interaction Networks |
| Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize | via | Machine Learning Regression |
| Temporal-MPI: Enabling Multi-plane Images for Dynamic Scene Modelling | via | Temporal Basis Learning |
| Temporally Coherent Superresolution of Textured Video | via | Dynamic Texture Synthesis |
| Temporally consistent dense depth map estimation | via | Belief Propagation |
| Temporally Consistent Disparity and Optical Flow | via | Efficient Spatio-temporal Filtering |
| Temporally consistent layer depth ordering | via | pixel voting for pseudo 3D representation |
| Temporally-Coherent Surface Reconstruction | via | Metric-Consistent Atlases |
| Tensor Completion | via | Complementary Global, Local, and Nonlocal Priors |
| Tensor completion | via | convolutional sparse coding with small samples-based training |
| Tensor Completion | via | Generalized Tensor Tubal Rank Minimization Using General Unfolding |
| Tensor Completion | via | Smooth Rank Function Low-Rank Approximate Regularization |
| Tensor dimensionality reduction | via | mode product and HSIC |
| Tensor Discriminant Analysis | via | Compact Feature Representation for Hyperspectral Images Dimensionality Reduction |
| Tensor MRI Regularization | via | Graph Diffusion |
| Tensor rank learning in CP decomposition | via | convolutional neural network |
| Tensor Recovery | via | Multi-linear Augmented Lagrange Multiplier Method |
| Tensor Representations | via | Kernel Linearization for Action Recognition from 3D Skeletons |
| Tensor Robust Principal Component Analysis | via | Tensor Fibered Rank and l_p Minimization |
| Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors | via | Convex Optimization |
| Tensor-Based Cortical Surface Morphometry | via | Weighted Spherical Harmonic Representation |
| Tensorial Multi-View Clustering | via | Low-Rank Constrained High-Order Graph Learning |
| Ternary MobileNets | via | Per-Layer Hybrid Filter Banks |
| TESA: Tensor Element Self-Attention | via | Matricization |
| Test-Time Adaptation for Video Frame Interpolation | via | Meta-Learning |
| Test-Time Fast Adaptation for Dynamic Scene Deblurring | via | Meta-Auxiliary Learning |
| Text effects transfer | via | distribution-aware texture synthesis |
| Text extraction from images captured | via | mobile and digital devices |
| Text Image Deblurring | via | Intensity Extremums Prior |
| Text to photo-realistic image synthesis | via | chained deep recurrent generative adversarial network |
| Text-based Person Search | via | Attribute-aided Matching |
| Text-Based Person Search | via | Cross-Modal Alignment Learning |
| Text-Enhanced Scene Image Super-Resolution | via | Stroke Mask and Orthogonal Attention |
| Text-Guided Facial Image Manipulation for Wild Images | via | Manipulation Direction-Based Loss |
| Text-Guided Human Image Manipulation | via | Image-Text Shared Space |
| Text-to-Image Generation | via | Semi-Supervised Training |
| Text-to-image | via | mask anchor points |
| Text2Tex: Text-driven Texture Synthesis | via | Diffusion Models |
| TextDCT: Arbitrary-Shaped Text Detection | via | Discrete Cosine Transform Mask |
| TextMountain: Accurate scene text detection | via | instance segmentation |
| Texture Analysis | via | Hierarchical Spatial-Spectral Correlation (HSSC) |
| Texture Boundary Formation | via | Structural Region Growing |
| Texture Characterization | via | Automatic Threshold Selection on Image-Generated Complex Network |
| Texture characterization | via | deterministic walks' direction histogram applied to a complex network-based image transformation |
| Texture characterization | via | improved deterministic walks on image-generated complex network |
| Texture Characterization | via | Joint Statistics of Wavelet Coefficient Magnitudes |
| Texture Characterization | via | Projections onto a Klein Bottle Topology |
| Texture classification | via | conditional histograms |
| Texture classification | via | patch-based sparse texton learning |
| Texture Classification | via | Stationary-Wavelet Based Contourlet Transform |
| Texture Descriptors | via | Stable Distributions |
| Texture Element Extraction | via | Cepstral Filtering of Projections |
| Texture Enhanced Image Denoising | via | Gradient Histogram Preservation |
| Texture Extraction and Segmentation | via | Statistical Geometric Features |
| Texture Feature Extraction and Analysis for Polyp Differentiation | via | Computed Tomography Colonography |
| Texture feature extraction | via | visual cortical channel modelling |
| Texture instance similarity | via | dense correspondences |
| Texture Mapping | via | Spherical Multi-dimensional Scaling |
| Texture Recognition | via | Autoregression |
| Texture Representation | via | Joint Statistics of Local Quantized Patterns |
| Texture Roughness Analysis and Synthesis | via | Extended Self-Similar (ESS) Model |
| Texture Segmentation by Grouping Ellipse Ensembles | via | Active Contours |
| Texture segmentation | via | a diffusion-segmentation scheme in the Gabor feature space |
| Texture Segmentation | via | Haar Fractal Feature Estimation |
| Texture Segmentation | via | Non-local Non-parametric Active Contours |
| Texture Synthesis | via | a Noncausal Nonparametric Multiscale Markov Random Field |
| Texture synthesis | via | matching first and second order statistics of a wavelet frame decomposition |
| Texture-preserving deconvolution | via | image decomposition |
| Textured Image Demoireing | via | Signal Decomposition and Guided Filtering |
| Textured image segmentation | via | scattering transform and score fusion |
| theory of defocus | via | Fourier analysis, A |
| Thermal Image Processing | via | Physics-Inspired Deep Networks |
| Thick Cloud Removal With Optical and SAR Imagery | via | Convolutional-Mapping-Deconvolutional Network |
| Three Birds with One Stone: Multi-Task Temporal Action Detection | via | Recycling Temporal Annotations |
| Three Dimensional Modeling | via | Photographs for Documentation of a Village Bath |
| Three Dimensional Object Modeling | via | Minimal Surfaces |
| Three stage deep network for 3D human pose reconstruction by exploiting spatial and temporal data | via | its 2D pose |
| Three-Dimensional Blood Vessel Quantification | via | Centerline Deformation |
| Three-Dimensional Motion Estimation | via | Matrix Completion |
| Three-dimensional point cloud recognition | via | distributions of geometric distances |
| Three-Dimensional Surface Relief Completion | via | Nonparametric Techniques |
| thresholding algorithm for sparse recovery | via | Laplace norm, A |
| Through-Wall Human Pose Reconstruction | via | UWB MIMO Radar and 3D CNN |
| TIB: Detecting Unknown Objects | via | Two-Stream Information Bottleneck |
| TICMR: Total Image Constrained Material Reconstruction | via | Nonlocal Total Variation Regularization for Spectral CT |
| Time and space efficient spectral clustering | via | column sampling |
| Time Delay Estimation | via | Wasserstein Distance Minimization |
| Time Series Analysis of Garment Distributions | via | Street Webcam |
| Time series classification | via | divergence measures between probability density functions |
| Time-Frequency Analysis | via | Ramanujan Sums |
| Time-Frequency Domain Analysis | via | Pulselets for Non-contact Heart Rate Estimation from Remotely Acquired Photoplethysmograms |
| Time-Series Dimensionality Reduction | via | Granger Causality |
| Time-sync comments denoising | via | graph convolutional and contextual encoding |
| TinyCLIP: CLIP Distillation | via | Affinity Mimicking and Weight Inheritance |
| Tk-text: Multi-shaped Scene Text Detection | via | Instance Segmentation |
| TKDN: Scene Text Detection | via | Keypoints Detection |
| TM2D: Bimodality Driven 3D Dance Generation | via | Music-Text Integration |
| TOA-Based Localization With NLOS Mitigation | via | Robust Multidimensional Similarity Analysis |
| TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation | via | Transformers |
| Tolerating Annotation Displacement in Dense Object Counting | via | Point Annotation Probability Map |
| Tomographic artefacts suppression | via | backprojection operator optimization |
| Tomographic Imaging | via | Non Linear Estimation: A Bilinear Approach |
| Tomographic Reconstruction of 3-D Irrotational Vector Fields | via | a Discretized Ray Transform |
| Tomographic Reconstruction | via | 3D Convolutional Dictionary Learning |
| Top down saliency estimation | via | superpixel-based discriminative dictionaries |
| Top-Down Visual Saliency | via | Joint CRF and Dictionary Learning |
| topic sentiment based method for friend recommendation in online social networks | via | matrix factorization, A |
| Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks | via | Hypergraph Learning |
| Topology Reconstruction of Tree-Like Structure in Images | via | Structural Similarity Measure and Dominant Set Clustering |
| Topology-aware non-rigid point set registration | via | global-local topology preservation |
| Topology-Aware Road Network Extraction | via | Multi-Supervised Generative Adversarial Networks |
| Topology-Enhanced Urban Road Extraction | via | a Geographic Feature-Enhanced Network |
| Topology-Preserving Registration: A Solution | via | Graph Cuts |
| Topology-Preserving Shape Reconstruction and Registration | via | Neural Diffeomorphic Flow |
| Topomorphologic Separation of Fused Isointensity Objects | via | Multiscale Opening: Separating Arteries and Veins in 3-D Pulmonary CT |
| Total Variation Denoising | via | the Moreau Envelope |
| Total Variation Regularization | via | Continuation to Recover Compressed Hyperspectral Images |
| ToThePoint: Efficient Contrastive Learning of 3D Point Clouds | via | Recycling |
| Toward Accurate Pixelwise Object Tracking | via | Attention Retrieval |
| Toward Facial Expression Recognition in the Wild | via | Noise-Tolerant Network |
| Toward fast and accurate human pose estimation | via | soft-gated skip connections |
| Toward Faster and Simpler Matrix Normalization | via | Rank-1 Update |
| Toward Human-Like Grasp: Dexterous Grasping | via | Semantic Representation of Object-Hand |
| Toward Human-Like Grasp: Functional Grasp by Dexterous Robotic Hand | via | Object-Hand Semantic Representation |
| Toward Improving Image Retrieval | via | Global Saliency Weighted Feature |
| Toward More Robust and Real-Time Unmanned Aerial Vehicle Detection and Tracking | via | Cross-Scale Feature Aggregation Based on the Center Keypoint |
| Toward Occlusion Handling in Visual Tracking | via | Probabilistic Finite State Machines |
| Toward Open-World Electroencephalogram Decoding | via | Deep Learning: A comprehensive survey |
| Toward Optimal Manifold Hashing | via | Discrete Locally Linear Embedding |
| Toward Practical Weakly Supervised Semantic Segmentation | via | Point-Level Supervision |
| Toward Real Hyperspectral Image Stripe Removal | via | Direction Constraint Hierarchical Feature Cascade Networks |
| Toward Real-World Super-Resolution | via | Adaptive Downsampling Models |
| Toward Rendering-Latency Reduction for Composable Web Services | via | Priority-Based Object Caching |
| Toward Resisting Forgery Attacks | via | Pseudo-Signatures |
| Toward Snow Removal | via | the Diversity and Complexity of Snow Image |
| Toward Source-Free Cross Tissues Histopathological Cell Segmentation | via | Target-Specific Finetuning |
| Toward Universal Stripe Removal | via | Wavelet-Based Deep Convolutional Neural Network |
| Towards 3d Smart Campus | via | 3d City Modelling |
| Towards a Hierarchical Contour Description | via | Dominant Point Detection |
| Towards Accurate and Compact Architectures | via | Neural Architecture Transformer |
| Towards Accurate Binary Neural Networks | via | Modeling Contextual Dependencies |
| Towards accurate dense pedestrian detection | via | occlusion-prediction aware label assignment and hierarchical-NMS |
| Towards Accurate Facial Landmark Detection | via | Cascaded Transformers |
| Towards Accurate Open-Set Recognition | via | Background-Class Regularization |
| Towards Adaptive Consensus Graph: Multi-View Clustering | via | Graph Collaboration |
| Towards Adaptive Multi-Scale Intermediate Domain | via | Progressive Training for Unsupervised Domain Adaptation |
| Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks | via | Semantic Grounding |
| Towards All-in-One Pre-Training | via | Maximizing Multi-Modal Mutual Information |
| Towards an automated estimation of English skill | via | TOEIC score based on reading analysis |
| Towards Attack-tolerant Federated Learning | via | Critical Parameter Analysis |
| Towards Automatic Model Compression | via | a Unified Two-Stage Framework |
| Towards Better Gradient Consistency for Neural Signed Distance Functions | via | Level Set Alignment |
| Towards Building Self-Aware Object Detectors | via | Reliable Uncertainty Quantification and Calibration |
| Towards Calibrated Hyper-Sphere Representation | via | Distribution Overlap Coefficient for Long-Tailed Learning |
| Towards Compact 1-bit CNNs | via | Bayesian Learning |
| Towards Compact CNNs | via | Collaborative Compression |
| Towards Computational Understanding of Skill Levels in Simulation-Based Surgical Training | via | Automatic Video Analysis |
| Towards Cross-Dataset Palmprint Recognition | via | Joint Pixel and Feature Alignment |
| Towards De | via | tion-Robust Agent Navigation via Perturbation-Aware Contrastive Learning |
| Towards Diverse and Natural Image Descriptions | via | a Conditional GAN |
| Towards Durability Estimation of Bioprosthetic Heart Valves | via | Motion Symmetry Analysis |
| Towards Effective and Robust Neural Trojan Defenses | via | Input Filtering |
| Towards Efficient 3D Point Cloud Scene Completion | via | Novel Depth View Synthesis |
| Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems | via | Combinatorial Optimization |
| Towards efficient automated characterization of irregular histology images | via | transformation to frieze-like patterns |
| Towards efficient image and video style transfer | via | distillation and learnable feature transformation |
| Towards Efficient Model Compression | via | Learned Global Ranking |
| Towards Efficient Scene Understanding | via | Squeeze Reasoning |
| Towards Fair Cross-Domain Adaptation | via | Generative Learning |
| Towards Fewer Annotations: Active Learning | via | Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation |
| Towards Flexible Inductive Bias | via | Progressive Reparameterization Scheduling |
| Towards generalizable detection of face forgery | via | self-guided model-agnostic learning |
| Towards Geospatial Foundation Models | via | Continual Pretraining |
| Towards High-Quality and Efficient Video Super-Resolution | via | Spatial-Temporal Data Overfitting |
| Towards Human-Like Interpretable Object Detection | via | Spatial Relation Encoding |
| Towards Image-to-Video Translation: A Structure-Aware Approach | via | Multi-stage Generative Adversarial Networks |
| Towards Improved and Interpretable Deep Metric Learning | via | Attentive Grouping |
| Towards interpretable and robust hand detection | via | pixel-wise prediction |
| Towards Interpretable Deep Reinforcement Learning Models | via | Inverse Reinforcement Learning |
| Towards Interpretable Video Super-Resolution | via | Alternating Optimization |
| Towards Knowledge-Aware Video Captioning | via | Transitive Visual Relationship Detection |
| Towards Language-Guided Visual Recognition | via | Dynamic Convolutions |
| Towards Large Scale Spectral Problems | via | Diffusion Process |
| Towards Learning a Generic Agent for Vision-and-Language Navigation | via | Pre-Training |
| Towards Learning Affine-Invariant Representations | via | Data-Efficient CNNs |
| Towards Learning Multi-Agent Negotiations | via | Self-Play |
| Towards Learning Structure | via | Consensus for Face Segmentation and Parsing |
| Towards Lightweight Transformer | via | Group-Wise Transformation for Vision-and-Language Tasks |
| Towards Memory-Efficient Neural Networks | via | Multi-Level in situ Generation |
| Towards Mixed-Precision Quantization of Neural Networks | via | Constrained Optimization |
| Towards Multi-Domain Face Synthesis | via | Domain-Invariant Representations and Multi-Level Feature Parts |
| Towards Multi-domain Single Image Dehazing | via | Test-time Training |
| Towards open-set text recognition | via | label-to-prototype learning |
| Towards open-set touchless palmprint recognition | via | weight-based meta metric learning |
| Towards Optimal Structured CNN Pruning | via | Generative Adversarial Learning |
| Towards Personalized Image Captioning | via | Multimodal Memory Networks |
| Towards Pointsets Representation Learning | via | Self-Supervised Learning and Set Augmentation |
| Towards Privacy-Preserving Visual Recognition | via | Adversarial Training: A Pilot Study |
| Towards Racially Unbiased Skin Tone Estimation | via | Scene Disambiguation |
| Towards Real-Time Service from Remote Sensing: Compression of Earth Observatory Video Data | via | Long-Term Background Referencing |
| Towards Robust Community Detection | via | Extreme Adversarial Attacks |
| Towards Robust Discriminative Projections Learning | via | Non-Greedy L_2,1-Norm MinMax |
| Towards Robust Metric Reconstruction | via | a Dynamic Uncalibrated Stereo Head |
| Towards Robust Model Watermark | via | Reducing Parametric Vulnerability |
| Towards robust neural networks | via | orthogonal diversity |
| Towards Robust Neural Networks | via | Random Self-Ensemble |
| Towards Robust Semantic Segmentation of Accident Scenes | via | Multi-Source Mixed Sampling and Meta-Learning |
| Towards robust subspace recovery | via | sparsity-constrained latent low-rank representation |
| Towards Robustness of Deep Neural Networks | via | Regularization |
| Towards Scalable Summarization of Consumer Videos | via | Sparse Dictionary Selection |
| Towards Stable Human Pose Estimation | via | Cross-View Fusion and Foot Stabilization |
| Towards surface regularization | via | medial axis transitions |
| Towards Trustable Skin Cancer Diagnosis | via | Rewriting Model's Decision |
| Towards Unifying Medical Vision-and-Language Pre-training | via | Soft Prompts |
| Towards Untrusted Social Video Verification to Combat Deepfakes | via | Face Geometry Consistency |
| Towards Viewpoint-Invariant Visual Recognition | via | Adversarial Training |
| Towards Weakly-Supervised Focus Region Detection | via | Recurrent Constraint Network |
| TPE-DF: Thumbnail Preserving Encryption | via | Dual-2DCS Fusion |
| TPH-YOLOv5-Air: Airport Confusing Object Detection | via | Adaptively Spatial Feature Fusion |
| Trace and Pace: Controllable Pedestrian Animation | via | Guided Trajectory Diffusion |
| Tracing Archaeological Places | via | the Context of Paleo Geomorphic Footprints Using SAR/InSAR Data Fusion: A Case on Southern Mesopotamia |
| Tracking a human being | via | the gray local dissimilarity map |
| Tracking a Low-Angle Isolated Target | via | an Elevation-Angle Estimation Algorithm Based on Extended Kalman Filter with an Array Antenna |
| Tracking across non-overlapping views | via | geometry |
| Tracking Control of Mobile Robots Localized | via | Chained Fusion of Discrete and Continuous Epipolar Geometry, IMU and Odometry |
| Tracking deformable parts | via | dynamic conditional random fields |
| Tracking Endocardial Boundary and Motion | via | Graph Cut Distribution Matching and Multiple Model Filtering |
| Tracking Generic Human Motion | via | Fusion of Low- and High-Dimensional Approaches |
| Tracking kidney tumor dimensional measurements | via | image morphing |
| Tracking Mobile Users in Wireless Networks | via | Semi-Supervised Colocalization |
| Tracking Multiple Particles in Fluorescence Time-Lapse Microscopy Images | via | Probabilistic Data Association |
| Tracking Multiple Visual Targets | via | Particle-Based Belief Propagation |
| Tracking of a non-rigid object | via | patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo sampling |
| Tracking of Lines in Spherical Images | via | Sub-Riemannian Geodesics in SO(3) |
| Tracking of Moving Objects in Cluttered Environments | via | Monte Carlo Filter |
| Tracking Pedestrians Across Multiple Cameras | via | Partial Relaxation of Spatio-Temporal Constraint and Utilization of Route Cue |
| Tracking Persons-of-Interest | via | Adaptive Discriminative Features |
| Tracking Persons-of-Interest | via | Unsupervised Representation Adaptation |
| Tracking surfaces | via | texture-mapping: A boot-strapping approach |
| Tracking Targets | via | Particle Based Belief Propagation |
| Tracking the Land Use/Land Cover Change in an Area with Underground Mining and Reforestation | via | Continuous Landsat Classification |
| Tracking Trains | via | Radio Frequency Systems |
| Tracking | via | object reflectance using a hyperspectral video camera |
| Tracking | via | Robust Multi-task Multi-View Joint Sparse Representation |
| Tracking with Occlusions | via | Graph Cuts |
| Tracking without Label: Unsupervised Multiple Object Tracking | via | Contrastive Similarity Learning |
| Tracking-by-Fusion | via | Gaussian Process Regression Extended to Transfer Learning |
| Trademark image retrieval | via | transformation-invariant deep hashing |
| Traffic Accident Detection | via | Self-Supervised Consistency Learning in Driving Scenarios |
| Traffic Data Reconstruction | via | Adaptive Spatial-Temporal Correlations |
| Traffic Data Recovery From Corrupted and Incomplete Observations | via | Spatial-Temporal TRPCA |
| Traffic Estimation and Prediction | via | Online Variational Bayesian Subspace Filtering |
| Traffic flow detection and statistics | via | improved optical flow and connected region analysis |
| Traffic forecasting with missing data | via | low rank dynamic mode decomposition of tensor |
| Traffic sign attack | via | pinpoint region probability estimation network |
| Traffic Sign Detection | via | Graph-Based Ranking and Segmentation Algorithms |
| Traffic sign detection | via | interest region extraction |
| Traffic Sign Recognition | via | Multi-Modal Tree-Structure Embedded Multi-Task Learning |
| Traffic Video Event Retrieval | via | Text Query using Vehicle Appearance and Motion Attributes |
| Traffic-GGNN: Predicting Traffic Flow | via | Attentional Spatial-Temporal Gated Graph Neural Networks |
| Training Binary Weight Networks | via | Semi-Binary Decomposition |
| Training Deep Learning Models | via | Synthetic Data: Application in Unmanned Aerial Vehicles |
| Training Hybrid Classical-Quantum Classifiers | via | Stochastic Variational Optimization |
| Training Neural Networks to Count White Blood Cells | via | a Minimum Counting Error Objective Function |
| Training Noise-Robust Deep Neural Networks | via | Meta-Learning |
| Training of an ML Neural Network for Classification | via | Recursive Reduction of the Class Separation |
| Training Robust Deep Neural Networks | via | Adversarial Noise Propagation |
| Training Small Networks for Scene Classification of Remote Sensing Images | via | Knowledge Distillation |
| Trajectory Data Acquisition | via | Private Car Positioning Based on Tightly-coupled GPS/OBD Integration in Urban Environments |
| Trajectory Data Mining | via | Cluster Analyses for Tropical Cyclones That Affect the South China Sea |
| Trajectory Optimization for Drone Logistics Delivery | via | Attention-Based Pointer Network |
| Trajectory Optimization for High-Speed Trains | via | a Mixed Integer Linear Programming Approach |
| Trajectory Tracking Control of Human Support Robots | via | Adaptive Sliding-Mode Approach |
| Transduction on Directed Graphs | via | Absorbing Random Walks |
| Transfer Beyond the Field of View: Dense Panoramic Semantic Segmentation | via | Unsupervised Domain Adaptation |
| Transfer learning for rare cancer problems | via | Discriminative Sparse Gaussian Graphical model |
| Transfer Learning for SAR Image Classification | via | Deep Joint Distribution Adaptation Networks |
| Transfer Learning for User Action Identication in Mobile Apps | via | Encrypted Traffic Analysis |
| Transfer Learning of a Temporal Bone Performance Model | via | Anatomical Feature Registration |
| Transfer Learning of Motion Patterns in Traffic Scene | via | Convex Optimization |
| Transfer learning | via | attributes for improved on-the-fly classification |
| Transfer Learning | via | Unsupervised Task Discovery for Visual Question Answering |
| Transfer multi-source knowledge | via | scale-aware online domain adaptation in depth estimation for autonomous driving |
| Transfer of Fixation for an Active Stereo Platform | via | Affine Structure Recovery |
| Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks | via | Momentum Integrated Gradients |
| Transferring discriminative knowledge | via | connective momentum clustering on person re-identification |
| Transferring Image-CLIP to Video-Text Retrieval | via | Temporal Relations |
| Transformation model estimation of image registration | via | least square support vector machines |
| Transformation-Aware Similarity Measurement for Image Retargeting Quality Assessment | via | Bidirectional Rewarping |
| Transformation-Based Adversarial Defense | via | Sparse Representation |
| Transformer Compressed Sensing | via | Global Image Tokens |
| Transformer Tracking | via | Frequency Fusion |
| Transformer vision-language tracking | via | proxy token guided cross-modal fusion |
| transformer-based deep neural network for detection and classification of lung cancer | via | PET/CT images, A |
| Transformer-Based Image Inpainting Detection | via | Label Decoupling and Constrained Adversarial Training |
| Transformer-based visual object tracking | via | fine-coarse concatenated attention and cross concatenated MLP |
| Transforms based Tensor Robust PCA: Corrupted Low-Rank Tensors Recovery | via | Convex Optimization |
| Transmission of subband-coded images | via | mobile channels |
| Transmission of two NTSC Color Television Signals over a Simple Satellite Transponder | via | Time-Frequency Multiplexing |
| Transparent Object Reconstruction | via | Coded Transport of Intensity |
| Transporting Labels | via | Hierarchical Optimal Transport for Semi-supervised Learning |
| TransPose: Keypoint Localization | via | Transformer |
| TransRank: Self-supervised Video Representation Learning | via | Ranking-based Transformation Recognition |
| Travel Recommendation | via | Author Topic Model Based Collaborative Filtering |
| Tree Structure-Aware Few-Shot Image Classification | via | Hierarchical Aggregation |
| Tree Structured Model of Skin Lesion Growth Pattern | via | Color Based Cluster Analysis |
| Trimming Bezier Surfaces on Bezier Surfaces | via | Blossoming |
| Trip purpose prediction using travel survey data with POI information | via | gradient boosting decision trees |
| TriVol: Point Cloud Rendering | via | Triple Volumes |
| TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation | via | Truncated Ratio Maximization |
| TSAN: Synthesized View Quality Enhancement | via | Two-Stream Attention Network for 3D-HEVC |
| Tumor Growth Estimation | via | Registration of DCE-MRI Derived Tumor Specific Descriptors |
| Tumour growth prediction of follow-up lung cancer | via | conditional recurrent variational autoencoder |
| Tune it the Right Way: Unsupervised Validation of Domain Adaptation | via | Soft Neighborhood Density |
| Tuning Pre-trained Model | via | Moment Probing |
| Turbocharged Video Distribution | via | P2P |
| Turning Frequency to Resolution: Video Super-resolution | via | Event Cameras |
| Two at Once: Enhancing Learning and Generalization Capacities | via | IBN-Net |
| Two-branch Neural Network for Non-homogeneous Dehazing | via | Ensemble Learning, A |
| Two-Class Pattern Discrimination | via | Recursive Optimization of Patrick-Fisher Distance |
| Two-dimensional bar code out-of-focus deblurring | via | the Increment Constrained Least Squares filter |
| Two-Dimensional Fingertip Force Training With Improved Haptic Sensation | via | Stochastic Resonance |
| Two-Dimensional Imaging | via | a Narrowband MIMO Radar System With Two Perpendicular Linear Arrays |
| Two-Dimensional Pattern-Coupled Sparse Bayesian Learning | via | Generalized Approximate Message Passing |
| Two-Dimensional Target Localization Approach | via | a Closed-Form Solution Using Range Difference Measurements Based on Pentagram Array |
| Two-parameter Persistence for Images | via | Distance Transform |
| Two-Pass Bi-Directional Optical Flow | via | Motion Vector Refinement |
| Two-person interaction recognition | via | spatial multiple instance embedding |
| Two-scale fusion method of infrared and visible images | via | parallel saliency features |
| Two-Stage Approach for Fine-Grained Visual Recognition | via | Confidence Ranking and Fusion, A |
| Two-Stage Hybrid Approach to the Correspondence Problem | via | Forward-Searching and Backward-Correcting, A |
| Two-Stage Learning to Predict Human Eye Fixations | via | SDAEs |
| two-stage linear discriminant analysis | via | QR-decomposition, A |
| Two-Step Registration on Multi-Modal Retinal Images | via | Deep Neural Networks |
| Two-Way Generation of High-Resolution EO and SAR Images | via | Dual Distortion-Adaptive GANs |
| Two-Year Radiometric Evaluation of Sentinel-3A OLCI | via | Intersensor Comparison With SNPP VIIRS, The |
| UAV First View Landmark Localization | via | Deep Reinforcement Learning |
| UAV Trajectory Planning With Probabilistic Geo-Fence | via | Iterative Chance-Constrained Optimization |
| UC-Net: Uncertainty Inspired RGB-D Saliency Detection | via | Conditional Variational Autoencoders |
| UDBNET: Unsupervised Document Binarization Network | via | Adversarial Game |
| UDC-UNET: Under-display Camera Image Restoration | via | U-shape Dynamic Network |
| UHD Underwater Image Enhancement | via | Frequency-spatial Domain Aware Network |
| ULcompress: A Unified low bit-rate image Compression Framework | via | Invertible Image Representation |
| Ultra-High Temporal Resolution Visual Reconstruction From a Fovea-Like Spike Camera | via | Spiking Neuron Model |
| Ultra-High-Definition Image Dehazing | via | Multi-Guided Bilateral Learning |
| Ultra-High-Definition Image HDR Reconstruction | via | Collaborative Bilateral Learning |
| Ultra-High-Resolution Unpaired Stain Transformation | via | Kernelized Instance Normalization |
| Ultra-Wideband Imaging | via | Frequency Diverse Array with Low Sampling Rate |
| Ultrasound spatiotemporal despeckling | via | Kronecker wavelet-Fisz thresholding |
| Ultrasound Speckle Reduction | via | L0 Minimization |
| Ultrasound Speckle Reduction | via | Super Resolution and Nonlinear Diffusion |
| Ultrasound-Specific Segmentation | via | Decorrelation and Statistical Region-Based Active Contours |
| Unbalanced JPEG image steganalysis | via | multiview data match |
| Unbiased Gradient Estimation for Differentiable Surface Splatting | via | Poisson Sampling |
| Unbiased Scene Graph Generation | via | Two-Stage Causal Modeling |
| Uncalibrated Visual Tasks | via | Linear Interaction |
| Uncertain Facial Expression Recognition | via | Multi-Task Assisted Correction |
| Uncertain Label Correction | via | Auxiliary Action Unit Graphs for Facial Expression Recognition |
| Uncertainty Estimation | via | Monte Carlo Dropout in CNN-Based mmWave MIMO Localization |
| Uncertainty modeling for efficient visual odometry | via | inertial sensors on mobile devices |
| Uncertainty Quantification in Depth Estimation | via | Constrained Ordinal Regression |
| Uncertainty Reduction | via | Heuristic Search Planning on Hybrid Metric/Topological Map |
| Uncertainty-Aware Multi-modal Learning | via | Cross-Modal Random Network Prediction |
| Uncertainty-Based Active Learning | via | Sparse Modeling for Image Classification |
| Uncertainty-based Thin Cloud Removal Network | via | Conditional Variational Autoencoders |
| Unconstrained Face Alignment | via | Cascaded Compositional Learning |
| Unconstrained Facial Action Unit Detection | via | Latent Feature Domain |
| Unconstrained Salient Object Detection | via | Proposal Subset Optimization |
| Uncorrelated feature selection | via | sparse latent representation and extended OLSDA |
| Under-Display Camera Image Enhancement | via | Cascaded Curve Estimation |
| Underdetermined DOA Estimation for Wideband Signals | via | Joint Sparse Signal Reconstruction |
| Underdetermined DOA estimation using coprime array | via | multiple measurement sparse Bayesian learning |
| Underdetermined DOA Estimation | via | Covariance Matrix Completion for Nested Sparse Circular Array in Nonuniform Noise |
| Underexposed Image Correction | via | Approximation of the Scene Radiance Function |
| Undersampled Dynamic Fourier Ptychography | via | Phaseless PCA |
| Undersampled Face Recognition | via | Robust Auxiliary Dictionary Learning |
| Understanding and combating robust overfitting | via | input loss landscape analysis and regularization |
| Understanding and Modeling Urban Mobility Dynamics | via | Disentangled Representation Learning |
| Understanding Deep Networks | via | Extremal Perturbations and Smooth Masks |
| Understanding Failures of Deep Networks | via | Robust Feature Extraction |
| Understanding image structure | via | hierarchical shape parsing |
| Understanding Individual Decisions of CNNs | via | Contrastive Backpropagation |
| Understanding Masked Autoencoders | via | Hierarchical Latent Variable Models |
| Understanding Masked Image Modeling | via | Learning Occlusion Invariant Feature |
| Understanding Private Car Aggregation Effect | via | Spatio-Temporal Analysis of Trajectory Data |
| Understanding Self-attention Mechanism | via | Dynamical System Perspective |
| Understanding symmetric smoothing filters | via | Gaussian mixtures |
| Understanding Synonymous Referring Expressions | via | Contrastive Features |
| Understanding the Basis of Graph Convolutional Neural Networks | via | an Intuitive Matched Filtering Approach |
| Understanding the Basis of the Kalman Filter | via | a Simple and Intuitive Derivation |
| Understanding the Effects of Pre-Training for Object Detectors | via | Eigenspectrum |
| Understanding vehicle motion | via | spatial integration of intensities |
| Understanding visual dictionaries | via | Maximum Mutual Information curves |
| Underwater Depth Estimation | via | Stereo Adaptation Networks |
| Underwater image enhancement | via | a channel-wise transmission estimation network |
| Underwater image enhancement | via | integrated RGB and LAB color models |
| Underwater image enhancement | via | LBP-based attention residual network |
| Underwater Image Enhancement | via | Medium Transmission-Guided Multi-Color Space Embedding |
| Underwater Image Enhancement | via | Minimal Color Loss and Locally Adaptive Contrast Enhancement |
| Underwater Image Enhancement | via | Piecewise Color Correction and Dual Prior Optimized Contrast Enhancement |
| Underwater Image Enhancement | via | Weighted Wavelet Visual Perception Fusion |
| Underwater Image Quality Improvement | via | Color, Detail, and Contrast Restoration |
| Underwater Image Restoration | via | Contrastive Learning and a Real-World Dataset |
| Underwater image super-resolution and enhancement | via | progressive frequency-interleaved network |
| Underwater-GAN: Underwater Image Restoration | via | Conditional Generative Adversarial Network |
| Uni-and-Bi-Directional Video Prediction | via | Learning Object-Centric Transformation |
| UniCR: Universally Approximated Certified Robustness | via | Randomized Smoothing |
| UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer | via | Hierarchical Mask Calibration |
| UniDexGrasp++: Improving Dexterous Grasping Policy Learning | via | Geometry-aware Curriculum and Iterative Generalist-Specialist Learning |
| UniDexGrasp: Universal Robotic Dexterous Grasping | via | Learning Diverse Proposal Generation and Goal-Conditioned Policy |
| Unified 3D and 4D Panoptic Segmentation | via | Dynamic Shifting Networks |
| Unified 3D Human Motion Synthesis Model | via | Conditional Variational Auto-Encoder*, A |
| Unified Approach to Image Matching and Segmentation in Stereo, Motion, and Object Recognition | via | Recovery of Epipolar Geometry, A |
| unified approach to salient object detection | via | low rank matrix recovery, A |
| unified Bayesian mixture model framework | via | spatial information for grayscale image segmentation, A |
| Unified Blending Framework For Panorama Completion | via | Graph Cuts, A |
| Unified Cross-domain Classification | via | Geometric and Statistical Adaptations |
| Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image | via | Joint Convolutional Neural Fields |
| unified framework for interactive image segmentation | via | Fisher rules, A |
| Unified Framework for Masked and Mask-Free Face Recognition | via | Feature Rectification, A |
| Unified Fully and Timestamp Supervised Temporal Action Segmentation | via | Sequence to Sequence Translation |
| Unified Keypoint-Based Action Recognition Framework | via | Structured Keypoint Pooling |
| Unified quality assessment of natural and screen content images | via | adaptive weighting on double scales |
| Unified Single Image De-raining Model | via | Region Adaptive Coupled Network, A |
| Unified Single-Image and Video Super-Resolution | via | Denoising Algorithms |
| Unified Sparse Subspace Learning | via | Self-Contained Regression |
| Unified Video Annotation | via | Multigraph Learning |
| Unifying Event Detection and Captioning as Sequence Generation | via | Pre-training |
| Unifying Offline and Online Multi-Graph Matching | via | Finding Shortest Paths on Supergraph |
| UniMiSS: Universal Medical Self-supervised Learning | via | Breaking Dimensionality Barrier |
| Unintentional Action Localization | via | Counterfactual Examples |
| Unique Recovery of Motion and Optic Flow | via | Lie Algebras |
| Uniqueness for shape from shading | via | photometric stereo technique |
| United Defocus Blur Detection and Deblurring | via | Adversarial Promoting Learning |
| Universal Adversarial Attack | via | Enhanced Projected Gradient Descent |
| Universal Adversarial Perturbation | via | Prior Driven Uncertainty Approximation |
| Universal and Personalized Access to Content | via | J2ME Terminals in the DYMAS System |
| Universal Data Anomaly Detection | via | Inverse Generative Adversary Network |
| Universal Deep Image Compression | via | Content-Adaptive Optimization with Adapters |
| Universal Domain Adaptation | via | Compressive Attention Matching |
| Universal Face Photo-Sketch Style Transfer | via | Multiview Domain Translation |
| Universal SAR and optical image registration | via | a novel SIFT framework based on nonlinear diffusion and a polar spatial-frequency descriptor |
| Universal Semi-supervised Model Adaptation | via | Collaborative Consistency Training |
| Unleashing the Potential of Adaptation Models | via | Go-getting Domain Labels |
| Unpaired Cartoon Image Synthesis | via | Gated Cycle Mapping |
| Unpaired Cross-Spectral Pedestrian Detection | via | Adversarial Feature Learning |
| Unpaired Face Restoration | via | Learnable Cross-Quality Shift |
| Unpaired Image Captioning | via | Scene Graph Alignments |
| Unpaired Image Translation | via | Vector Symbolic Architectures |
| Unpaired Image-to-Image Translation | via | Latent Energy Transport |
| Unpaired Multi-Modal Segmentation | via | Knowledge Distillation |
| Unpaired Portrait Drawing Generation | via | Asymmetric Cycle Mapping |
| Unrolled iPPG: Video Heart Rate Estimation | via | Unrolling Proximal Gradient Descent |
| Unseen Object Segmentation in Videos | via | Transferable Representations |
| Unseen) event recognition | via | semantic compositionality |
| Unsharp Masking Sharpening Detection | via | Overshoot Artifacts Analysis |
| Unstructured road detection | via | combining the model-based and feature-based methods |
| Unsupervised and semi-supervised co-salient object detection | via | segmentation frequency statistics |
| Unsupervised and semi-supervised learning | via | l1-norm graph |
| Unsupervised anomaly detection | via | dual transformation-aware embeddings |
| Unsupervised automatic attribute discovery method | via | multi-graph clustering |
| Unsupervised Band Selection Method | via | Contrastive Learning for Hyperspectral Images, An |
| Unsupervised Bidirectional Cross-Modality Adaptation | via | Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation |
| Unsupervised Blind Image Quality Evaluation | via | Statistical Measurements of Structure, Naturalness, and Perception |
| Unsupervised Classification of Polarimetric SAR Images | via | Riemannian Sparse Coding |
| Unsupervised classification of polarimetric SAR images | via | SVGp0MM with extended variational inference |
| Unsupervised Cross-Dataset Adaptation | via | Probabilistic Amodal 3D Human Pose Completion |
| Unsupervised Cross-Modality Adaptation | via | Dual Structural-Oriented Guidance for 3D Medical Image Segmentation |
| Unsupervised deep clustering | via | contractive feature representation and focal loss |
| Unsupervised Deep Exemplar Colorization | via | Pyramid Dual Non-Local Attention |
| Unsupervised Deep Learning Framework | via | Integrated Optimization of Representation Learning and GMM-Based Modeling, An |
| Unsupervised Deep Video Hashing | via | Balanced Code for Large-Scale Video Retrieval |
| Unsupervised design of Artificial Neural Networks | via | multi-dimensional Particle Swarm Optimization |
| Unsupervised discriminative feature learning | via | finding a clustering-friendly embedding space |
| Unsupervised discriminative feature selection in a kernel space | via | L2,1-norm minimization |
| Unsupervised Discriminative Feature Selection | via | Contrastive Graph Learning |
| Unsupervised Domain Adaptation for 3D Keypoint Estimation | via | View Consistency |
| Unsupervised Domain Adaptation for Monocular 3D Object Detection | via | Self-training |
| Unsupervised Domain Adaptation for Person Re-Identification | via | Individual-Preserving and Environmental-Switching Cyclic Generation |
| Unsupervised Domain Adaptation for Semantic Segmentation | via | Class-Balanced Self-training |
| Unsupervised domain adaptation for semantic segmentation | via | cross-region alignment |
| Unsupervised Domain Adaptation in Person re-ID | via | k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis |
| Unsupervised Domain Adaptation in Semantic Segmentation | via | Orthogonal and Clustered Embeddings |
| Unsupervised Domain Adaptation in the Wild | via | Disentangling Representation Learning |
| Unsupervised Domain Adaptation | via | Class Aggregation for Text Recognition |
| Unsupervised Domain Adaptation | via | Deep Conditional Adaptation Network |
| Unsupervised Domain Adaptation | via | Discriminative Manifold Propagation |
| Unsupervised domain adaptation | via | distilled discriminative clustering |
| Unsupervised Domain Adaptation | via | Importance Sampling |
| Unsupervised Domain Adaptation | via | Regularized Conditional Alignment |
| Unsupervised Domain Adaptation | via | Risk-Consistent Estimators |
| Unsupervised Domain Adaptation | via | Structurally Regularized Deep Clustering |
| Unsupervised Domain-Specific Deblurring | via | Disentangled Representations |
| Unsupervised edge-preserving image restoration | via | a saddle point approximation |
| Unsupervised Embedding Learning | via | Invariant and Spreading Instance Feature |
| Unsupervised Extraction of Local Image Descriptors | via | Relative Distance Ranking Loss |
| Unsupervised Extraction of Video Highlights | via | Robust Recurrent Auto-Encoders |
| Unsupervised Face Manipulation | via | Hallucination |
| Unsupervised Facial Performance Editing | via | Vector-Quantized StyleGAN Representations |
| Unsupervised Feature Extraction | via | Deep Learning for Histopathological Classification of Colon Tissue Images |
| Unsupervised Feature Learning | via | Non-parametric Instance Discrimination |
| Unsupervised feature selection | via | adaptive graph and dependency score |
| Unsupervised Feature Selection | via | Data Reconstruction and Side Information |
| Unsupervised feature selection | via | distributed coding for multi-view object recognition |
| Unsupervised Feature Selection | via | Feature-Grouping and Orthogonal Constraint |
| Unsupervised Feature Selection | via | Graph Regularized Nonnegative CP Decomposition |
| Unsupervised Feature Selection | via | Hypergraph Embedding |
| Unsupervised Feature Selection | via | Neural Networks and Self-Expression with Adaptive Graph Constraint |
| Unsupervised Feature Selection | via | Nonnegative Spectral Analysis and Redundancy Control |
| Unsupervised Few-Shot Action Recognition | via | Action-Appearance Aligned Meta-Adaptation |
| Unsupervised Foggy Scene Understanding | via | Self Spatial-Temporal Label Diffusion |
| Unsupervised Fusion of Misaligned PAT and MRI Images | via | Mutually Reinforcing Cross-Modality Image Generation and Registration |
| Unsupervised Global Urban Area Mapping | via | Automatic Labeling from ASTER and PALSAR Satellite Images |
| Unsupervised Graph Embedding | via | Adaptive Graph Learning |
| Unsupervised Grouped Axial Data Modeling | via | Hierarchical Bayesian Nonparametric Models With Watson Distributions |
| Unsupervised Hashing Retrieval | via | Efficient Correlation Distillation |
| Unsupervised HDR Image and Video Tone Mapping | via | Contrastive Learning |
| Unsupervised Hyperbolic Representation Learning | via | Message Passing Auto-Encoders |
| Unsupervised hyperspectral band selection | via | multi-feature information-maximization clustering |
| Unsupervised Image Denoising in Real-World Scenarios | via | Self-Collaboration Parallel Generative Adversarial Branches |
| Unsupervised image segmentation | via | markov trees and complex wavelets |
| Unsupervised Image-to-Image Translation | via | Pre-Trained StyleGAN2 Network |
| Unsupervised Instance Segmentation in Microscopy Images | via | Panoptic Domain Adaptation and Task Re-Weighting |
| Unsupervised iterative manifold alignment | via | local feature histograms |
| Unsupervised learning framework for interest point detection and description | via | properties optimization |
| Unsupervised Learning of Graph Matching With Mixture of Modes | via | Discrepancy Minimization |
| Unsupervised Learning of Human Pose Distance Metric | via | Sparsity Locality Preserving Projections |
| Unsupervised learning | via | mixtures of skewed distributions with hypercube contours |
| Unsupervised Light Field Depth Estimation | via | Multi-View Feature Matching With Occlusion Prediction |
| Unsupervised Low-Light Image Enhancement | via | Virtual Diffraction Information in Frequency Domain |
| Unsupervised Method to Extract Video Object | via | Complexity Awareness and Object Local Parts, An |
| Unsupervised Monocular Depth Estimation | via | Recursive Stereo Distillation |
| Unsupervised Moving Object Detection | via | Contextual Information Separation |
| Unsupervised MRI Reconstruction | via | Zero-Shot Learned Adversarial Transformers |
| Unsupervised Multi-Class Co-Segmentation | via | Joint-Cut Over L_1-Manifold Hyper-Graph of Discriminative Image Regions |
| Unsupervised Multi-Modal Image Registration | via | Geometry Preserving Image-to-Image Translation |
| Unsupervised Multi-Shot Person Re-Identification Method | via | Mutual Normalized Sparse Representation and Stepwise Learning, An |
| Unsupervised Multi-shot Person Re-identification | via | Dynamic Bi-directional Normalized Sparse Representation |
| Unsupervised Multiclass Region Cosegmentation | via | Ensemble Clustering and Energy Minimization |
| Unsupervised Multimodal Video-to-Video Translation | via | Self-Supervised Learning |
| Unsupervised Multiple Object Cosegmentation | via | Ensemble MIML Learning |
| Unsupervised network pretraining | via | encoding human design |
| Unsupervised Non-Rigid Image Distortion Removal | via | Grid Deformation |
| Unsupervised Nonlinear Hyperspectral Unmixing Based on Bilinear Mixture Models | via | Geometric Projection and Constrained Nonnegative Matrix Factorization |
| Unsupervised Nonlinear Hyperspectral Unmixing with Reduced Spectral Variability | via | Superpixel-Based Fisher Transformation |
| Unsupervised Object Class Discovery | via | Saliency-Guided Multiple Class Learning |
| Unsupervised object detection | via | LWIR/RGB translation |
| Unsupervised object discovery | via | self-organisation |
| Unsupervised Out-of-Distribution Object Detection | via | PCA-Driven Dynamic Prototype Enhancement |
| Unsupervised Person Re-identification | via | Cross-Camera Similarity Exploration |
| Unsupervised Person Re-Identification | via | Global-Level and Patch-Level Discriminative Feature Learning |
| Unsupervised Person Re-identification | via | Graph-Structured Image Matching |
| Unsupervised person re-identification | via | multi-domain joint learning |
| Unsupervised Person Re-Identification | via | Multi-Label Classification |
| Unsupervised Person Re-Identification | via | Multi-Label Classification |
| Unsupervised Person Re-Identification | via | Nearest Neighbor Collaborative Training Strategy |
| Unsupervised person re-identification | via | re-ranking enhanced sample-specific metric learning |
| Unsupervised person re-identification | via | simultaneous clustering and mask prediction |
| Unsupervised Person Re-Identification | via | Softened Similarity Learning |
| Unsupervised Point Cloud Co-Part Segmentation | via | Co-Attended Superpoint Generation and Aggregation |
| Unsupervised Point Cloud Pre-Training | via | Contrasting and Clustering |
| Unsupervised Point Cloud Pre-training | via | Occlusion Completion |
| Unsupervised Point Cloud Registration | via | Salient Points Analysis (SPA) |
| Unsupervised Procedure Learning | via | Joint Dynamic Summarization |
| Unsupervised Real Image Super-Resolution | via | Generative Variational AutoEncoder |
| Unsupervised real image super-resolution | via | knowledge distillation network |
| Unsupervised Real-world Image Super Resolution | via | Domain-distance Aware Training |
| Unsupervised Real-World Image Super-Resolution | via | Dual Synthetic-to-Realistic and Realistic-to-Synthetic Translations |
| Unsupervised Reverse Domain Adaptation for Synthetic Medical Images | via | Adversarial Training |
| Unsupervised Salient Object Detection | via | Inferring from Imperfect Saliency Models |
| Unsupervised seabed segmentation of synthetic aperture sonar imagery | via | wavelet features and spectral clustering |
| Unsupervised Segmentation in Real-World Images | via | Spelke Object Inference |
| Unsupervised Segmentation incorporating Shape Prior | via | Generative Adversarial Networks |
| Unsupervised segmentation of natural images | via | lossy data compression |
| Unsupervised Self-Driving Attention Prediction | via | Uncertainty Mining and Knowledge Embedding |
| Unsupervised Simplification of Image Hierarchies | via | Evolution Analysis in Scale-Sets Framework |
| Unsupervised Single-View Synthesis Network | via | Style Guidance and Prior Distillation |
| Unsupervised sound localization | via | iterative contrastive learning |
| Unsupervised Spectral-Spatial Feature Learning | via | Deep Residual Conv-Deconv Network for Hyperspectral Image Classification |
| Unsupervised Texture Segmentation | via | Wavelet Transform |
| Unsupervised Tissue Segmentation | via | Deep Constrained Gaussian Network |
| Unsupervised Trajectory Clustering | via | Adaptive Multi-kernel-Based Shrinkage |
| Unsupervised Trajectory Modelling Using Temporal Information | via | Minimal Paths |
| Unsupervised Transfer Learning | via | Multi-Scale Convolutional Sparse Coding for Biomedical Applications |
| Unsupervised Underexposed Image Enhancement | via | Self-Illuminated and Perceptual Guidance |
| Unsupervised Video Action Clustering | via | Motion-Scene Interaction Constraint |
| Unsupervised video anomaly detection | via | normalizing flows with implicit latent features |
| Unsupervised Video Highlight Extraction | via | Query-related Deep Transfer |
| Unsupervised Video Matting | via | Sparse and Low-Rank Representation |
| Unsupervised Video Object Segmentation | via | Prototype Memory Network |
| Unsupervised Video Summarization | via | Attention-driven Adversarial Learning |
| Unsupervised Video Summarization | via | Deep Reinforcement Learning With Shot-Level Semantics |
| Unsupervised Video Summarization | via | Relation-Aware Assignment Learning |
| Unsupervised Visible-Infrared Person Re-Identification | via | Progressive Graph Matching and Alternate Learning |
| Unsupervised Vision-and-Language Pretraining | via | Retrieval-based Multi-Granular Alignment |
| Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures | via | Dependency Relationships |
| Unsupervised Visual Object Categorisation | via | Self-Organisation |
| Unsupervised Visual Representation Learning | via | Dual-Level Progressive Similar Instance Selection |
| Unsupervised Visual Representation Learning | via | Multi-Dimensional Relationship Alignment |
| UnsupervisedR&R: Unsupervised Point Cloud Registration | via | Differentiable Rendering |
| Unusual Event Detection | via | Multi-camera Video Mining |
| Up-View Visual-Based Indoor Positioning Method | via | Deep Learning, An |
| Updated Experimental Model of IG12 Indices Over the Antarctic Region | via | the Assimilation of IRI2016 With GNSS TEC, An |
| Upper limb movement analysis | via | marker tracking with a single-camera system |
| Urban Flood Mapping Using SAR Intensity and Interferometric Coherence | via | Bayesian Network Fusion |
| Urban Heat Island Micro-mapping | via | 3D City Model |
| Urban road extraction | via | graph cuts based probability propagation |
| Urban Safety Prediction Using Context and Object Information | via | Double-Column Convolutional Neural Network |
| Urban Traffic Control in Software Defined Internet of Things | via | a Multi-Agent Deep Reinforcement Learning Approach |
| Use of Satellite Data to Determine the Changes of Hydrodynamic Parameters in the Gulf of Gdansk | via | EcoFish Model, The |
| USEAQ: Ultra-Fast Superpixel Extraction | via | Adaptive Sampling From Quantized Regions |
| USEQ: Ultra-fast superpixel extraction | via | quantization |
| User Identity Linkage Across Social Media | via | Attentive Time-Aware User Modeling |
| User-adaptive image retrieval | via | fusing pointwise and pairwise labels |
| User-Aware Image Tag Refinement | via | Ternary Semantic Analysis |
| User-Driven Sampling Model for Large-Scale Geographical Point Data Visualization | via | Convolutional Neural Networks, A |
| USID-Net: Unsupervised Single Image Dehazing Network | via | Disentangled Representations |
| U²-Former: Nested U-Shaped Transformer for Image Restoration | via | Multi-View Contrastive Learning |
| V2V Energy Trading in Residential Microgrids Considering Multiple Constraints | via | Bayesian Game |
| V2VFormer++: Multi-Modal Vehicle-to-Vehicle Cooperative Perception | via | Global-Local Transformer |
| Va2mass: Towards the Fluid Filling Mass Estimation | via | Integration of Vision and Audio Learning |
| Validating the Crop Identification Capability of the Spectral Variance at Key Stages (SVKS) Computed | via | an Object Self-Reference Combined Algorithm |
| VaPiD: A Rapid Vanishing Point Detector | via | Learned Optimizers |
| Variational Models for Image Colorization | via | Chromaticity and Brightness Decomposition |
| Variational Rician Noise Removal | via | Splitting on Spheres |
| VAST: Vivify Your Talking Avatar | via | Zero-Shot Expressive Facial Style Transfer |
| VDN-NeRF: Resolving Shape-Radiance Ambiguity | via | View-Dependence Normalization |
| VecFontSDF: Learning to Reconstruct and Synthesize High-Quality Vector Fonts | via | Signed Distance Functions |
| Vector field smoothing | via | heat flow |
| Vector-Based Efficient Data Hiding in Encrypted Images | via | Multi-MSB Replacement |
| Vector-to-Vector Regression | via | Distributional Loss for Speech Enhancement |
| Vectorized image segmentation | via | trixel agglomeration |
| Vehicle Behavior Learning | via | Sparse Reconstruction with L_2-L_p Minimization and Trajectory Similarity |
| Vehicle Detection in High-Resolution Aerial Images | via | Sparse Representation and Superpixels |
| Vehicle Detection in UAV Images | via | Background Suppression Pyramid Network and Multi-Scale Task Adaptive Decoupled Head |
| Vehicle Identification | via | Sparse Representation |
| Vehicle Scheduling of an Urban Bus Line | via | an Improved Multiobjective Genetic Algorithm |
| Vehicle sparse recognition | via | class dictionary learning |
| Vehicle Tracking in Wide Area Motion Imagery | via | Stochastic Progressive Association Across Multiple Frames |
| Vehicle Trajectory Prediction in Connected Environments | via | Heterogeneous Context-Aware Graph Convolutional Networks |
| Vehicle-Borne Multi-Sensor Temporal-Spatial Pose Globalization | via | Cross-Domain Data Association |
| Vehicle-Road Environment Perception Under Low-Visibility Condition Based on Polarization Features | via | Deep Learning |
| Vehicular traffic density estimation | via | statistical methods with automated state learning |
| Ventral-Dorsal Neural Networks: Object Detection | via | Selective Attention |
| Verification of Fractional Vegetation Coverage and NDVI of Desert Vegetation | via | UAVRS Technology |
| Verification of Persons | via | Face and Signature Analysis |
| Verifying isolation in a mantrap portal | via | thermal imaging |
| Versatile surface detail editing | via | Laplacian coordinates |
| Versatile Weight Attack | via | Flipping Limited Bits |
| Vertigo Effect on Your Smartphone: Dolly Zoom | via | Single Shot View Synthesis, The |
| Vessel Target Detection in Spaceborne-Airborne Collaborative SAR Images | via | Proposal and Polarization Fusion |
| VI-Net: Boosting Category-level 6D Object Pose Estimation | via | Learning Decoupled Rotations on the Spherical Representations |
| Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild | via | Self-supervised Scene Decomposition |
| Video Action Recognition | via | Neural Architecture Searching |
| Video Action Segmentation | via | Contextually Refined Temporal Keypoints |
| Video Adverse-Weather-Component Suppression Network | via | Weather Messenger and Adversarial Backpropagation |
| Video Analysis | via | Nonlinear Dimensionality Reduction |
| Video Annotation for Visual Tracking | via | Selection and Refinement |
| Video Annotation | via | Image Groups from the Web |
| Video anomaly detection and localization | via | Gaussian Mixture Fully Convolutional Variational Autoencoder |
| Video Anomaly Detection | via | Sequentially Learning Multiple Pretext Tasks |
| Video captioning | via | a symmetric bidirectional decoder |
| Video Captioning | via | Hierarchical Reinforcement Learning |
| Video Captioning | via | Sentence Augmentation and Spatio-Temporal Attention |
| Video Classification | via | Weakly Supervised Sequence Modeling |
| Video Compressed Sensing Reconstruction | via | an Untrained Network with Low-Rank Regularization |
| Video Compression Artifact Reduction | via | Spatio-Temporal Multi-Hypothesis Prediction |
| Video Compressive Sensing Reconstruction | via | Reweighted Residual Sparsity |
| Video compressive sensing | via | structured Laplacian modelling |
| Video Cut Detector | via | Adaptive Features using the Frobenius Norm |
| Video Deblurring | via | Semantic Segmentation and Pixel-Wise Non-linear Kernel |
| Video Deblurring | via | Spatiotemporal Pyramid Network and Adversarial Gradient Prior |
| Video Dehazing | via | a Multi-Range Temporal Alignment Network with Physical Prior |
| Video denoising algorithm | via | multi-scale joint luma-chroma bilateral filter |
| Video Denoising and Simplification | via | Discrete Regularization on Graphs |
| Video denoising | via | discrete regularization on graphs |
| Video Denoising | via | Dynamic Video Layering |
| Video Denoising | via | Empirical Bayesian Estimation of Space-Time Patches |
| Video denoising | via | spatially adaptive coefficient shrinkage and threshold adjustment in Surfacelet transform domain |
| Video Dialog | via | Multi-Grained Convolutional Self-Attention Context Multi-Modal Networks |
| Video Dissolve and Wipe Detection | via | Spatio-temporal Images of Chromatic Histogram Differences |
| Video Enhancement | via | Super-Resolution Using Deep Quality Transfer Network |
| Video error concealment | via | total variation regularized matrix completion |
| Video Event Detection | via | Multi-modality Deep Learning |
| Video face recognition | via | combination of real-time local features and temporal-spatial cues |
| Video Frame Interpolation and Enhancement | via | Pyramid Recurrent Framework |
| Video Frame Interpolation | via | Adaptive Convolution |
| Video Frame Interpolation | via | Adaptive Separable Convolution |
| Video Frame Interpolation | via | Cyclic Fine-Tuning and Asymmetric Reverse Flow |
| Video frame interpolation | via | down-up scale generative adversarial networks |
| Video Frame Interpolation | via | Generalized Deformable Convolution |
| Video frame interpolation | via | residual blocks and feature pyramid networks |
| Video Highlight Detection | via | Deep Ranking Modeling |
| Video Inpainting on Digitized Vintage Films | via | Maintaining Spatiotemporal Continuity |
| Video instance search | via | spatial fusion of visual words and object proposals |
| Video Instance Segmentation | via | Multi-Scale Spatio-Temporal Split Attention Transformer |
| Video Matting | via | Consistency-Regularized Graph Neural Networks |
| Video matting | via | opacity propagation |
| Video Matting | via | Sparse and Low-Rank Representation |
| Video Memorability Prediction | via | Late Fusion of Deep Multi-Modal Features |
| Video Moment Localization | via | Deep Cross-Modal Hashing |
| Video Moment Retrieval | via | Comprehensive Relation-Aware Network |
| Video Object Co-Segmentation | via | Subspace Clustering and Quadratic Pseudo-Boolean Optimization in an MRF Framework |
| Video Object Detection | via | Object-level Temporal Aggregation |
| Video Object Extraction | via | MRF-Based Contour Tracking |
| Video Object Matting | via | Hierarchical Space-Time Semantic Guidance |
| Video Object Segmentation | via | Dense Trajectories |
| Video Object Segmentation | via | Global Consistency Aware Query Strategy |
| Video object segmentation | via | random walks on two-frame graphs comprising superpixels |
| Video Object Tracking | via | Central Macro-blocks and Directional Vectors |
| Video Prediction Recalling Long-term Motion Context | via | Memory Alignment Learning |
| Video Processing | via | Implicit and Mixture Motion Models |
| Video quality enhancement | via | QP adaptation based on perceptual coding maps |
| Video querying | via | compact descriptors of visually salient objects |
| Video representation | via | 3D shaped mosaics |
| Video Saliency Detection | via | Bagging-Based Prediction and Spatiotemporal Propagation |
| Video Saliency Detection | via | Graph Clustering With Motion Energy and Spatiotemporal Objectness |
| Video Saliency Detection | via | Sparsity-Based Reconstruction and Propagation |
| Video Saliency Detection | via | Spatial-Temporal Fusion and Low-Rank Coherency Diffusion |
| Video Salient Object Detection | via | Contrastive Features and Attention Modules |
| Video Salient Object Detection | via | Fully Convolutional Networks |
| Video Salient Object Detection | via | Multiple Time-scale Analysis |
| Video Salient Object Detection | via | Robust Seeds Extraction and Multi-Graphs Manifold Propagation |
| Video Satellite Imagery Super-Resolution | via | Model-Based Deep Neural Networks |
| Video Scene Segmentation | via | Continuous Video Coherence |
| Video Search | via | Ranking Network with Very Few Query Exemplars |
| Video segmentation | via | boundary-aware flow |
| Video Segmentation | via | Multiple Granularity Analysis |
| Video Segmentation | via | Object Flow |
| Video Segmentation | via | Temporal Pattern Classification |
| Video semantic segmentation | via | feature propagation with holistic attention |
| Video sequence learning and recognition | via | dynamic SOM |
| Video sequence matching | via | decision tree path following |
| Video Shadow Detection | via | Spatio-Temporal Interpolation Consistency Training |
| Video Signal-Dependent Noise Estimation | via | Inter-Frame Prediction |
| Video Snapshot: Single Image Motion Expansion | via | Invertible Motion Embedding |
| Video Summarization | via | Actionness Ranking |
| Video summarization | via | minimum sparse reconstruction |
| Video Summarization | via | Multiview Representative Selection |
| Video Summarization | via | Segments Summary Graphs |
| Video Summarization | via | Simultaneous Block Sparse Representation |
| Video Summarization | via | Weighted Neighborhood Based Representation |
| Video Super-Resolution | via | a Spatio-Temporal Alignment Network |
| Video Super-Resolution | via | Bidirectional Recurrent Convolutional Networks |
| Video Super-Resolution | via | Deep Draft-Ensemble Learning |
| Video Super-Resolution | via | Event-Driven Temporal Alignment |
| Video super-resolution | via | mixed spatial-temporal convolution and selective fusion |
| Video super-resolution | via | pre-frame constrained and deep-feature enhanced sparse reconstruction |
| Video Tonal Stabilization | via | Color States Smoothing |
| Video upscaling | via | spatio-temporal self-similarity |
| Video Vectorization | via | Tetrahedral Remeshing |
| Video-based face recognition | via | joint sparse representation |
| Video-Based Person Re-identification | via | 3D Convolutional Networks and Non-local Attention |
| Video-based person re-identification | via | spatio-temporal attentional and two-stream fusion convolutional networks |
| Video-based Remote Physiological Measurement | via | Cross-verified Feature Disentangling |
| Video-Story Composition | via | Plot Analysis |
| Video-Text Representation Learning | via | Differentiable Weak Temporal Alignment |
| VideoTrack: Learning to Track Objects | via | Video Transformer |
| VidStyleODE: Disentangled Video Editing | via | StyleGAN and NeuralODEs |
| View graph construction for scenes with duplicate structures | via | graph convolutional network |
| View synthesis prediction | via | motion field synthesis for 3D video coding |
| View Vertically: A Hierarchical Network for Trajectory Prediction | via | Fourier Spectrums |
| View-invariant action recognition | via | Unsupervised AttentioN Transfer (UANT) |
| View-Invariant Human Action Recognition | via | View Transformation Network (VTN) |
| Viewing Graph Solvability | via | Cycle Consistency |
| Viewpoint Invariant Matching | via | Developable Surfaces |
| ViFi-MobiScanner: Observe Human Mobility | via | Vehicular Internet Service |
| ViP3D: End-to-End Visual Trajectory Prediction | via | 3D Agent Queries |
| ViperGPT: Visual Inference | via | Python Execution for Reasoning |
| ViPNAS: Efficient Video Pose Estimation | via | Neural Architecture Search |
| VirFace: Enhancing Face Recognition | via | Unlabeled Shallow Data |
| Virtual 3-D interface system | via | hand motion recognition from two cameras |
| Virtual 3D bone fracture reconstruction | via | inter-fragmentary surface alignment |
| Virtual Bass Enhancement | via | Music Demixing |
| Virtual EMG | via | Facial Video Analysis |
| VirtualHome: Simulating Household Activities | via | Programs |
| VisageSynTalk: Unseen Speaker Video-to-Speech Synthesis | via | Speech-Visage Feature Selection |
| VisEvent: Reliable Object Tracking | via | Collaboration of Frame and Event Flows |
| Visibility and Distortion Measurement for No-Reference Dehazed Image Quality Assessment | via | Complex Contourlet Transform |
| Visibility enhancement | via | optimal gamma tone mapping for OST displays under ambient light |
| Visibility Restoration | via | Smoothing Speed for Vein Recognition |
| Visible Surface Reconstruction | via | Local Minimax Approximation |
| Visible-Infrared Person Re-Identification | via | Cross-Modality Interaction Transformer |
| Visible-Infrared Person Re-Identification | via | Partially Interactive Collaboration |
| Visible-Infrared Person Re-Identification | via | Semantic Alignment and Affinity Inference |
| Visible-Thermal Image Object Detection | via | the Combination of Illumination Conditions and Temperature Information |
| Vision Based Autonomous Orientational Control for Aerial Manipulation | via | On-board FPGA |
| Vision-Based Heart Rate Estimation | via | A Two-Stream CNN |
| Vision-Based Human Pose Estimation | via | Deep Learning: A Survey |
| Vision-based Indoor Localization | via | a Visual Slam Approach |
| Vision-Based Multiple Interacting Targets Tracking | via | On-Line Supervised Learning |
| Vision-Based Navigation With Language-Based Assistance | via | Imitation Learning With Indirect Intervention |
| Vision-Based Target Detection and Localization | via | a Team of Cooperative UAV and UGVs |
| Vision-based vehicle behaviour analysis: a structured learning approach | via | convolutional neural networks |
| Vision-Language Matching for Text-to-Image Synthesis | via | Generative Adversarial Networks |
| VISTA: Boosting 3D Object Detection | via | Dual Cross-VIew SpaTial Attention |
| Visual Anomaly Detection | via | Partition Memory Bank Module and Error Estimation |
| Visual Autonomy | via | 2D Matching in Rendered 3D Models |
| Visual Commonsense Representation Learning | via | Causal Inference |
| Visual Concept Detection and Annotation | via | Multiple Kernel Learning of Multiple Models |
| Visual Concept Recognition and Localization | via | Iterative Introspection |
| Visual Correspondence Grouping | via | Local Consistent Neighborhood |
| Visual Correspondence Learning and Spatially Attentive Synthesis | via | Transformer for Exemplar-Based Anime Line Art Colorization |
| Visual Cue Cluster Construction | via | Information Bottleneck Principle and Kernel Density Estimation |
| Visual Dynamics: Stochastic Future Generation | via | Layered Cross Convolutional Networks |
| Visual estimation of pointed targets for robot guidance | via | fusion of face pose and hand orientation |
| Visual Event Classification | via | Force Dynamics |
| Visual Explanations | via | Iterated Integrated Attributions |
| Visual Grounding | via | Accumulated Attention |
| Visual information retrieval system | via | content-based approach |
| Visual Localisation and Individual Identification of Holstein Friesian Cattle | via | Deep Learning |
| Visual Memorability for Robotic Interestingness | via | Unsupervised Online Learning |
| Visual Motif Discovery | via | First-Person Vision |
| Visual Motion Estimation | via | Second Order Cone Programming |
| Visual Navigation and Obstacle Avoidance Control for Agricultural Robots | via | LiDAR and Camera |
| Visual Object Clustering | via | Mixed-Norm Regularization |
| Visual object retrieval | via | block-based visual-pattern matching |
| Visual object tracking | via | a manifold regularized discriminative dual dictionary model |
| Visual object tracking | via | coefficients constrained exclusive group LASSO |
| Visual object tracking | via | collaborative correlation filters |
| Visual Object Tracking | via | Guessing and Matching |
| Visual object tracking | via | iterative ant particle filtering |
| Visual Object Tracking | via | Multi-Stream Deep Similarity Learning Networks |
| Visual Object Tracking | via | One-Class SVM |
| Visual object tracking | via | online sparse instance learning |
| Visual object tracking | via | sample-based Adaptive Sparse Representation (AdaSR) |
| Visual object tracking | via | the local soft cosine similarity |
| Visual Object Tracking with Online Sample Selection | via | LASSO Regularization |
| Visual Relationship Prediction | via | Label Clustering and Incorporation of Depth Information |
| Visual Salience Learning | via | Low Rank Matrix Recovery |
| Visual Saliency Detection | via | Kernelized Subspace Ranking With Active Learning |
| Visual saliency detection | via | rank-sparsity decomposition |
| Visual Saliency Detection | via | Sparse Residual and Outlier Detection |
| Visual Saliency Detection | via | Sparsity Pursuit |
| Visual Saliency | via | Embedding Hierarchical Knowledge in a Deep Neural Network |
| Visual Saliency | via | Selecting and Reweighting Features in Hierarchical Fusion Network |
| Visual search reranking | via | adaptive particle swarm optimization |
| Visual Secret Sharing Scheme: Improving the Contrast of a Recovered Image | via | Different Pixel Expansions |
| Visual Semantic Search: Retrieving Videos | via | Complex Textual Queries |
| Visual Servoing | via | Advanced Numerical Methods |
| Visual summarization of landmarks | via | viewpoint modeling |
| Visual Tracking in Continuous Appearance Space | via | Sparse Coding |
| Visual tracking of numerous targets | via | multi-Bernoulli filtering of image data |
| Visual tracking of resident space objects | via | an RFS-based multi-Bernoulli track-before-detect method |
| Visual tracking tracker | via | object proposals and co-trained kernelized correlation filters |
| Visual tracking | via | adaptive multi-task feature learning with calibration and identification |
| Visual Tracking | via | Adaptive Spatially-Regularized Correlation Filters |
| Visual Tracking | via | Adaptive Structural Local Sparse Appearance Model |
| Visual Tracking | via | Adaptive Tracker Selection with Multiple Features |
| Visual tracking | via | bag of features |
| Visual tracking | via | Boolean map representations |
| Visual Tracking | via | Coarse and Fine Structural Local Sparse Appearance Models |
| Visual Tracking | via | Constrained Incremental Non-negative Matrix Factorization |
| Visual tracking | via | context-aware local sparse appearance model |
| Visual Tracking | via | Discriminative Sparse Similarity Map |
| Visual Tracking | via | Dynamic Graph Learning |
| Visual Tracking | via | Dynamic Memory Networks |
| Visual tracking | via | dynamic weighting with pyramid-redetection based Siamese networks |
| Visual Tracking | via | Efficient Kernel Discriminant Subspace Learning |
| Visual tracking | via | ensemble autoencoder |
| Visual tracking | via | geometric particle filtering on the affine group with optimal importance functions |
| Visual tracking | via | Graph Regularized Kernel Correlation Filer and Multi-Memory Voting |
| Visual tracking | via | guided filter |
| Visual tracking | via | incremental Log-Euclidean Riemannian subspace learning |
| Visual tracking | via | incremental self-tuning particle filtering on the affine group |
| Visual Tracking | via | Joint Discriminative Appearance Learning |
| Visual Tracking | via | Kernel Sparse Representation With Multikernel Fusion |
| Visual Tracking | via | Locality Sensitive Histograms |
| Visual Tracking | via | Locally Structured Gaussian Process Regression |
| Visual tracking | via | manifold regularized local structured sparse representation model |
| Visual Tracking | via | Multi-Layer Factorized Correlation Filter |
| Visual Tracking | via | Nonlocal Similarity Learning |
| Visual Tracking | via | Nonnegative Multiple Coding |
| Visual Tracking | via | Nonnegative Regularization Multiple Locality Coding |
| Visual Tracking | via | Online Nonnegative Matrix Factorization |
| Visual tracking | via | orthogonal sparse coding |
| Visual Tracking | via | Patch-Based Absorbing Markov Chain |
| Visual Tracking | via | Probabilistic Hypergraph Ranking |
| Visual Tracking | via | Probability Continuous Outlier Model |
| Visual Tracking | via | Random Walks on Graph Model |
| Visual Tracking | via | Saliency Weighted Sparse Coding Appearance Model |
| Visual Tracking | via | Siamese Network With Global Similarity |
| Visual Tracking | via | Sparse and Local Linear Coding |
| Visual Tracking | via | Sparse Representation With Reliable Structure Constraint |
| Visual tracking | via | sparsity pattern learning |
| Visual Tracking | via | Spatially Aligned Correlation Filters Network |
| Visual tracking | via | structural patch-based dictionary pair learning |
| Visual Tracking | via | Structure Constrained Grouping |
| Visual Tracking | via | Subspace Learning: A Discriminative Approach |
| Visual Tracking | via | Supervised Similarity Matching |
| Visual Tracking | via | Temporally Smooth Sparse Coding |
| Visual Tracking | via | Temporally-Regularized Context-Aware Correlation Filters |
| Visual tracking | via | weakly supervised learning from multiple imperfect oracles |
| Visual tracking | via | weakly supervised learning from multiple imperfect oracles 1 |
| Visual Tracking | via | Weighted Local Cosine Similarity |
| Visual Tracking With Weighted Adaptive Local Sparse Appearance Model | via | Spatio-Temporal Context Learning |
| Visual trajectory analysis | via | Replicated Softmax-based models |
| Visual Understanding | via | Multi-Feature Shared Learning With Global Consistency |
| Visual words assignment on a graph | via | minimal mutual information loss |
| Visual Words Assignment | via | Information-Theoretic Manifold Embedding |
| Visualization of Mobile Mapping Data | via | Parallax Scrolling |
| Visualization of Spatiotemporal Behavior of Discrete Maps | via | Generation of Recursive Median Elements |
| Visually Source-Free Domain Adaptation | via | Adversarial Style Matching |
| Vita-CLIP: Video and text adaptive CLIP | via | Multimodal Prompting |
| VITAL: VIsual Tracking | via | Adversarial Learning |
| VITON-HD: High-Resolution Virtual Try-On | via | Misalignment-Aware Normalization |
| VL-PET: Vision-and-Language Parameter-Efficient Tuning | via | Granularity Control |
| VLPD: Context-Aware Pedestrian Detection | via | Vision-Language Semantic Self-Supervision |
| Voice Activity Detection | via | Noise Reducing Using Non-Negative Sparse Coding |
| Volatility Trading | via | Temporal Pattern Recognition in Quantised Financial Time Series |
| Volumetric Capture of Humans With a Single RGBD Camera | via | Semi-Parametric Learning |
| Volumetric Quantification of Airway Wall in CT | via | Collision-Free Active Surface Model: Application to Asthma Assessment |
| Volumetric segmentation | via | 3D active shape models |
| VOSTR: Video Object Segmentation | via | Transferable Representations |
| VQA-GNN: Reasoning with Multimodal Knowledge | via | Graph Neural Networks for Visual Question Answering |
| VRT-Net: Real-Time Scene Parsing | via | Variable Resolution Transform |
| VSpSR: Explorable Super-Resolution | via | Variational Sparse Representation |
| WalkFormer: Point Cloud Completion | via | Guided Walks |
| Walking Through Shanshui: Generating Chinese Shanshui Paintings | via | Real-Time Tracking of Human Position |
| Warp-Refine Propagation: Semi-Supervised Auto-Labeling | via | Cycle-Consistency |
| Wasserstein HOG: Local Directionality Extraction | via | Optimal Transport |
| Watching the BiG artifacts: Exposing DeepFake videos | via | Bi-granularity artifacts |
| Water Filling: Unsupervised People Counting | via | Vertical Kinect Sensor |
| Water leakage image recognition of shield tunnel | via | learning deep feature representation |
| Water reflection recognition | via | minimizing reflection cost based on motion blur invariant moments |
| Water Stream Extraction | via | Feature-Fused Encoder-Decoder Network Based on SAR Images |
| Water Temperature Reconstruction | via | Station Position Correction Method Based on Coastal Acoustic Tomography Systems |
| Watermark location | via | back-lighting and recto removal |
| Watermark Security | via | Wavelet Filter Parametrization |
| Watermarking for Image Based Rendering | via | homography-based virtual camera location estimation |
| Watershed Segmentation | via | Case-Based Reasoning |
| WavDepressionNet: Automatic Depression Level Prediction | via | Raw Speech Signals |
| Wavefront reconstruction in phase-shifting interferometry | via | sparse coding of amplitude and absolute phase |
| Wavelet based image coding | via | morphological prediction of significance |
| Wavelet Decomposition optimization | via | Exponential Decay Constraint for Compressively Sensed Image Reconstruction |
| Wavelet Domain Image Interpolation | via | Statistical Estimation |
| Wavelet Frame-Based Image Restoration | via | L_2-Relaxed Truncated L_0 Regularization and Nonlocal Estimation |
| Wavelet inpainting driven image compression | via | collaborative sparsity at low bit rates |
| Wavelet-Based Reflection Symmetry Detection | via | Textural and Color Histograms |
| Wavelet-Based Reflection Symmetry Detection | via | Textural and Color Histograms: Algorithm and Results |
| Wavelet-based video coder | via | bit allocation |
| WDiscOOD: Out-of-Distribution Detection | via | Whitened Linear Discriminant Analysis |
| Weak-supervised Visual Geo-localization | via | Attention-based Knowledge Distillation |
| Weakly and Semi Supervised Human Body Part Parsing | via | Pose-Guided Knowledge Transfer |
| Weakly Paired Associative Learning for Sound and Image Representations | via | Bimodal Associative Memory |
| Weakly Supervised 3d Hand Pose Estimation | via | Biomechanical Constraints |
| Weakly Supervised 3D Point Cloud Segmentation | via | Multi-Prototype Learning |
| Weakly Supervised Actor-Action Segmentation | via | Robust Multi-task Ranking |
| Weakly supervised adversarial learning | via | latent space for hyperspectral target detection |
| Weakly supervised building semantic segmentation | via | superpixel-CRF with initial deep seeds guiding |
| Weakly supervised cross-view action recognition | via | sequential motion accumulation |
| Weakly Supervised Facial Attribute Manipulation | via | Deep Adversarial Network |
| Weakly Supervised Few-Shot Segmentation | via | Meta-Learning |
| Weakly Supervised Few-Shot Semantic Segmentation | via | Pseudo Mask Enhancement and Meta Learning |
| Weakly Supervised Fine-Grained Image Classification | via | Guassian Mixture Model Oriented Discriminative Learning |
| Weakly supervised fine-grained image classification | via | two-level attention activation model |
| Weakly supervised fine-grained semantic segmentation | via | spatial correlation-guided learning |
| Weakly Supervised Human-Object Interaction Detection in Video | via | Contrastive Spatiotemporal Regions |
| Weakly supervised image parsing | via | label propagation over discriminatively semantic graph |
| Weakly Supervised Instance Segmentation | via | Category-aware Centerness Learning with Localization Supervision |
| Weakly supervised instance segmentation | via | peak mining and filtering |
| Weakly Supervised Invariant Representation Learning | via | Disentangling Known and Unknown Nuisance Factors |
| Weakly Supervised Learning Framework for Salient Object Detection | via | Hybrid Labels, A |
| Weakly Supervised Learning of Deformable Part-Based Models for Object Detection | via | Region Proposals |
| Weakly Supervised Object Detection for Remote Sensing Images | via | Progressive Image-Level and Instance-Level Feature Refinement |
| Weakly supervised object localization | via | maximal entropy randomwalk |
| Weakly Supervised Object Localization | via | Transformer with Implicit Spatial Calibration |
| Weakly Supervised Salient Object Detection | via | Double Object Proposals Guidance |
| Weakly supervised segment annotation | via | expectation kernel density estimation |
| Weakly Supervised Segmentation with Point Annotations for Histopathology Images | via | Contrast-Based Variational Model |
| Weakly Supervised Semantic Segmentation in Aerial Imagery | via | Cross-Image Semantic Mining |
| Weakly Supervised Semantic Segmentation | via | Adversarial Learning of Classifier and Reconstructor |
| Weakly Supervised Semantic Segmentation | via | Box-Driven Masking and Filling Rate Shifting |
| Weakly Supervised Semantic Segmentation | via | Progressive Patch Learning |
| Weakly Supervised Solar Panel Mapping | via | Uncertainty Adjusted Label Transition in Aerial Images |
| Weakly Supervised Temporal Action Localization | via | Representative Snippet Knowledge Propagation |
| Weakly supervised vehicle detection in satellite images | via | multi-instance discriminative learning |
| Weakly Supervised Vehicle Detection in Satellite Images | via | Multiple Instance Ranking |
| Weakly Supervised Video Anomaly Detection | via | Self-Guided Temporal Discriminative Transformer |
| Weakly Supervised Video Anomaly Detection | via | Transformer-Enabled Temporal Relation Learning |
| Weakly Supervised Video Emotion Detection and Prediction | via | Cross-Modal Temporal Erasing Network |
| Weakly-Supervised 3D Human Pose Learning | via | Multi-View Images in the Wild |
| Weakly-supervised action localization | via | embedding-modeling iterative optimization |
| Weakly-Supervised Action Segmentation and Alignment | via | Transcript-Aware Union-of-Subspaces Learning |
| Weakly-supervised Cell Tracking | via | Backward-and-forward Propagation |
| Weakly-Supervised Cross-Domain Road Scene Segmentation | via | Multi-Level Curriculum Adaptation |
| Weakly-Supervised Domain Adaptation | via | GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects |
| Weakly-supervised Instance Segmentation | via | Class-agnostic Learning with Salient Images |
| Weakly-Supervised Multiple Object Tracking | via | A Masked Center Point Warping Loss |
| Weakly-supervised object detection | via | mining pseudo ground truth bounding-boxes |
| Weakly-supervised pre-training for 3D human pose estimation | via | perspective knowledge |
| Weakly-Supervised Saliency Detection | via | Salient Object Subitizing |
| Weakly-Supervised Salient Object Detection | via | Scribble Annotations |
| Weakly-supervised Semantic Segmentation in Cityscape | via | Hyperspectral Image |
| Weakly-supervised semantic segmentation | via | online pseudo-mask correcting |
| Weakly-Supervised Semantic Segmentation | via | Sub-Category Exploration |
| Weakly-supervised sensor-based activity segmentation and recognition | via | learning from distributions |
| Weakly-Supervised Vessel Detection in Ultra-Widefield Fundus Photography | via | Iterative Multi-Modal Registration and Learning |
| Weakly-Supervised Video Object Grounding | via | Causal Intervention |
| Weakly-Supervised Video Object Grounding | via | Learning Uni-Modal Associations |
| Wearable ImageNet: Synthesizing Tileable Textures | via | Dataset Distillation |
| Web Image Annotation | via | Subspace-Sparsity Collaborated Feature Selection |
| Web Multimedia Object Clustering | via | Information Fusion |
| Webly-Supervised Fine-Grained Visual Categorization | via | Deep Domain Adaptation |
| Webly-supervised semantic segmentation | via | curriculum learning |
| Weed-Crop Segmentation in Drone Images with a Novel Encoder-Decoder Framework Enhanced | via | Attention Modules |
| Weighted partition consensus | via | kernels |
| Weighted Spectral-Spatial Classification of Hyperspectral Images | via | Class-Specific Band Contribution |
| Weighted-capsule routing | via | a fuzzy gaussian model |
| Welding Joints Inspection | via | Residual Attention Network |
| What and How: Generalized Lifelong Spectral Clustering | via | Dual Memory |
| What Do You Do? Occupation Recognition in a Photo | via | Social Context |
| What Energy Functions Can Be Minimized | via | Graph Cuts? |
| Wheel Slip Control | via | Second-Order Sliding-Mode Generation |
| When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification | via | Learning Discriminative CNNs |
| When2com: Multi-Agent Perception | via | Communication Graph Grouping |
| Where is My Spot? Few-shot Image Generation | via | Latent Subspace Optimization |
| White Balancing by Using Multiple Images | via | Intrinsic Image Decomposition |
| White Matter Fiber Tractography | via | Anisotropic Diffusion Simulation in the Human Brain |
| WhiteNNer-Blind Image Denoising | via | Noise Whiteness Priors |
| Who Do I Look Like? Determining Parent-Offspring Resemblance | via | Gated Autoencoders |
| Whole Slide Image Classification | via | Iterative Patch Labelling |
| Wide-Angle Rectification | via | Content-Aware Conformal Mapping |
| Wide-Area Crowd Counting | via | Ground-Plane Density Maps and Multi-View Fusion CNNs |
| Wideband image demodulation | via | bi-dimensional multirate frequency transformations |
| Widening Audiences: Making Heritage Recording Data Easily Accessible | via | Html Applications |
| WiFE: WiFi and Vision Based Unobtrusive Emotion Recognition | via | Gesture and Facial Expression |
| WiID: Precise WiFi-based Person Identification | via | Bio-electromagnetic Information |
| Window-aware guided image filtering | via | local entropy |
| Wireless image and video soft transmission | via | perception-inspired power distortion optimization |
| Wnet: Audio-Guided Video Object Segmentation | via | Wavelet-Based Cross- Modal Denoising Networks |
| Word spotting and recognition | via | a joint deep embedding of image and text |
| Word spotting | via | spatial point processes |
| Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications | via | Contrastive Regularization |
| Worldwide Detection of Informal Settlements | via | Topological Analysis of Crowdsourced Digital Maps |
| Worst-Case Discriminative Feature Learning | via | Max-Min Ratio Analysis |
| Writer adaptation | via | deeply learned features for online Chinese handwriting recognition |
| WVDNet: Time-Frequency Analysis | via | Semi-Supervised Learning |
| X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization | via | Dynamic Textual Guidance |
| X-Ray Dark-Field and Phase Retrieval Without Optics, | via | the Fokker-Planck Equation |
| X-ray image separation | via | coupled dictionary learning |
| X-Ray Luminescence Computed Tomography | via | Selective Excitation: A Feasibility Study |
| X-Ray medical image super-resolution | via | self-organization neural networks and geometric directional gradient |
| xMISC: Improved Sparse Linear Array | via | Maximum Inter-Element Spacing Concept |
| XVO: Generalized Visual Odometry | via | Cross-Modal Self-Training |
| Y-Autoencoders: Disentangling latent representations | via | sequential encoding |
| YDTR: Infrared and Visible Image Fusion | via | Y-Shape Dynamic Transformer |
| YoTube: Searching Action Proposal | via | Recurrent and Static Regression Networks |
| You Only Search Once: Single Shot Neural Architecture Search | via | Direct Sparse Optimization |
| You2Me: Inferring Body Pose in Egocentric Video | via | First and Second Person Interactions |
| Z-Index Parameterization for Volumetric CT Image Reconstruction | via | 3-D Dictionary Learning |
| ZBS: Zero-Shot Background Subtraction | via | Instance-Level Background Modeling and Foreground Selection |
| Zero Shot Learning | via | Multi-scale Manifold Regularization |
| Zero-Shot Domain Adaptation | via | Kernel Regression on the Grassmannian |
| Zero-Shot Emotion Recognition | via | Affective Structural Embedding |
| Zero-Shot Event Detection | via | Event-Adaptive Concept Relevance Mining |
| Zero-Shot Generative Model Adaptation | via | Image-Specific Prompt Learning |
| zero-shot learning boosting framework | via | concept-constrained clustering, A |
| zero-shot learning framework | via | cluster-prototype matching, A |
| Zero-shot learning | via | a specific rank-controlled semantic autoencoder |
| Zero-Shot Learning | via | Attribute Regression and Class Prototype Rectification |
| Zero-Shot Learning | via | Category-Specific Visual-Semantic Mapping and Label Refinement |
| Zero-Shot Learning | via | Contrastive Learning on Dual Knowledge Graphs |
| Zero-shot learning | via | discriminative representation extraction |
| Zero-Shot Learning | via | Joint Latent Similarity Embedding |
| Zero-Shot Learning | via | Latent Space Encoding |
| Zero-Shot Learning | via | Low-Rank-Representation Based Manifold Regularization |
| Zero-Shot Learning | via | Recurrent Knowledge Transfer |
| Zero-Shot Learning | via | Robust Latent Representation and Manifold Regularization |
| Zero-Shot Learning | via | Semantic Similarity Embedding |
| Zero-Shot Learning | via | Visual Abstraction |
| Zero-Shot Medical Image Translation | via | Frequency-Guided Diffusion Models |
| Zero-shot multi-label learning | via | label factorisation |
| Zero-Shot Person Re-identification | via | Cross-View Consistency |
| Zero-Shot Recognition | via | Optimal Transport |
| Zero-Shot Recognition | via | Semantic Embeddings and Knowledge Graphs |
| Zero-Shot Recognition | via | Structured Prediction |
| Zero-shot semantic segmentation | via | spatial and multi-scale aware visual class embedding |
| Zero-Shot Semantic Segmentation | via | Variational Mapping |
| Zero-Shot Single-Microphone Sound Classification and Localization in a Building | via | the Synthesis of Unseen Features |
| Zero-Shot Single-View Point Cloud Reconstruction | via | Cross-Category Knowledge Transferring |
| Zero-shot sketch-based image retrieval | via | adaptive relation-aware metric learning |
| Zero-Shot Temporal Action Detection | via | Vision-Language Prompting |
| Zero-shot unsupervised image-to-image translation | via | exploiting semantic attributes |
| Zero-Shot Video Object Segmentation | via | Attentive Graph Neural Networks |
| Zero-Shot Visual Recognition | via | Bidirectional Latent Embedding |
| Zonal Displacement Approach | via | Grid Point Weighting in Building Generalization, A |
| Zoom-In-To-Check: Boosting Video Interpolation | via | Instance-Level Discrimination |
| ZY-1 02D Hyperspectral Imagery Super-Resolution | via | Endmember Matrix Constraint Unmixing |
| À-la-carte Prompt Tuning (APT): Combining Distinct Data | via | Composable Prompting |
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