IEEE Transactions on Pattern Analysis and Machine Intelligence

Article	Citations
[Back cover - Table of contents, continued]	3052
Front Cover	1641
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference	1575
Learn to Predict Sets Using Feed-Forward Neural Networks	1545
One-for-All: Towards Universal Domain Translation With a Single StyleGAN	1497
Editorial: Introduction to the Special Section on Best of CVPR'2022	1483
Self-Supervised Skeleton Representation Learning Via Actionlet Contrast and Reconstruct	1160
BiBBDM: Bidirectional Image Translation With Brownian Bridge Diffusion Models	1135
Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems	955
S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation	772
Multi-Dataset, Multitask Learning of Egocentric Vision Tasks	727
MECD+ : Unlocking Event-Level Causal Graph Discovery for Video Reasoning	625
Face Forgery Detection by 3D Decomposition and Composition Search	583
ResNet-LDDMM: Advancing the LDDMM Framework using Deep Residual Networks	575
Active Supervised Cross-Modal Retrieval	563
DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus	555
Event-Based Photometric Bundle Adjustment	534
On the Trade-Off Between Flatness and Optimization in Distributed Learning	509
VATr++: Choose Your Words Wisely for Handwritten Text Generation	504
Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective	496
Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration	475
Learning to Guide a Saturation-Based Theorem Prover	472
Weakly Supervised Semantic Segmentation via Box-Driven Masking and Filling Rate Shifting	461
Towards Accurate and Compact Architectures via Neural Architecture Transformer	460
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation	456

Prior Image Guided Snapshot Compressive Spectral Imaging	447
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization	445
Enhancing Representations Through Heterogeneous Self-Supervised Learning	441
Quadratic Matrix Factorization With Applications to Manifold Learning	426
Invariant Policy Learning: A Causal Perspective	411
Learning With Style: Continual Semantic Segmentation Across Tasks and Domains	405
Adaptive Surface Normal Constraint for Geometric Estimation From Monocular Images	403
A Generative Model for Generic Light Field Reconstruction	403
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification	401
Towards Unified Deep Image Deraining: A Survey and a New Benchmark	390
SNI-SLAM++: Tightly-Coupled Semantic Neural Implicit SLAM	378
Unsupervised Domain Adaptation via Discriminative Manifold Propagation	362
A Clustering Validity Index With Multi-Granularity Fusion for Multiple Fuzzy Clustering Algorithms	361
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition	359
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning	358
Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution	354
Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models	352
OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation	349
Ensemble-Enhanced Semi-Supervised Learning With Optimized Graph Construction for High-Dimensional Data	339
Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach	338
Video Demoireing Using Focused-Defocused Dual-Camera System	334
Physics-Informed Guided Disentanglement in Generative Networks	333
Interaction-Based Inductive Bias in Graph Neural Networks: Enhancing Protein-Ligand Binding Affinity Predictions From 3D Structures	321
Interactive NeRF Geometry Editing With Shape Priors	318
Instance Shadow Detection with A Single-Stage Detector	318
Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks	315
Probing Synergistic High-Order Interaction for Multi-Modal Image Fusion	313
Modeling Noisy Annotations for Point-Wise Supervision	310
Centerless Clustering	285
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting	283
Rethinking Rotation-Invariant Recognition of Fine-grained Shapes from the Perspective of Contour Points	269
Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation	266
Motion-Aware Dynamic Graph Neural Network for Video Compressive Sensing	261
Inferring Point Cloud Quality via Graph Similarity	258
Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching	257
Detection-Friendly Dehazing: Object Detection in Real-World Hazy Scenes	257
Locating and Counting Heads in Crowds With a Depth Prior	252
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting	247
A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation	245
Symbolic Visual Reinforcement Learning: A Scalable Framework With Object-Level Abstraction and Differentiable Expression Search	243
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks	242
Simplicial Complex Neural Networks	242
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness	236
Are Graph Convolutional Networks With Random Weights Feasible?	234
Deep Non-Rigid Structure From Motion With Missing Data	230
Learning Graph Convolutional Networks for Multi-Label Recognition and Applications	229
Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method	229
Transformer-Based Visual Segmentation: A Survey	225
Face Generation and Editing With StyleGAN: A Survey	224
Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models	223

Affective Image Content Analysis: Two Decades Review and New Perspectives	222
Graph Convolutional Module for Temporal Action Localization in Videos	216
DVIS++: Improved Decoupled Framework for Universal Video Segmentation	215
Optimization-Based Post-Training Quantization With Bit-Split and Stitching	215
Structure-Preserving Image Super-Resolution	213
Deep Long-Tailed Learning: A Survey	209
IEEE Computer Society Has You Covered!	209
Separable Spatial-Temporal Residual Graph for Cloth-Changing Group Re-Identification	209
Cover 2	208
Fast Component Tree Computation for Images of Limited Levels	207
BNET: Batch Normalization With Enhanced Linear Transformation	205
Universal Image Segmentation With Efficiency	204
New Dataset and Methods for Fine-Grained Compositional Referring Expression Comprehension via Specialist-MLLM Collaboration	201
Temporal Feature Matters: A Framework for Diffusion Model Quantization	201
M3D: a Multimodal, Multilingual and Multitask Dataset for Grounded Document-level Information Extraction	200
Spatial-Temporal Transformer for Video Snapshot Compressive Imaging	197
Learning to See Through With Events	196
Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights	195
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning	191
MoIL: Momentum Imitation Learning for Efficient Vision-Language Adaptation	187
Robust Multimodal Learning With Missing Modalities via Parameter-Efficient Adaptation	183
On Positive-Unlabeled Classification From Corrupted Data in GANs	183
Learning Graph Attentions via Replicator Dynamics	175
Correcting Optical Aberration via Depth-Aware Point Spread Functions	175
Image Lens Flare Removal Using Adversarial Curve Learning	174
Bridging Actions: Generate 3D Poses and Shapes In-Between Photos	174
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets	173
GenPoly: Learning Generalized and Tessellated Shape Priors via 3D Polymorphic Evolving	170
To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion	170
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification	167
SPLiT: Single Portrait Lighting Estimation via a Tetrad of Face Intrinsics	164
Learning Efficient Meshflow and Optical Flow from Event Cameras	164
Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression	164
Differential Viewpoints for Ground Terrain Material Recognition	164
Deep Learning-Based Point Cloud Compression: An In-Depth Survey and Benchmark	163
Reduced-Rank Tensor-on-Tensor Regression and Tensor-Variate Analysis of Variance	162
Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning	161
A Variational EM Acceleration for Efficient Clustering at Very Large Scales	160
Human-Centric Transformer for Domain Adaptive Action Recognition	158
Inter-Intra Hypergraph Computation for Survival Prediction on Whole Slide Images	157
On the Robustness of Average Losses for Partial-Label Learning	152
SPARE: Symmetrized Point-to-Plane Distance for Robust Non-Rigid 3D Registration	149
InstructLayout: Instruction-Driven 2D and 3D Layout Synthesis With Semantic Graph Prior	149
Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification	148
Out-of-Domain Generalization From a Single Source: An Uncertainty Quantification Approach	148
GradMDM: Adversarial Attack on Dynamic Networks	147
Human Interaction Understanding With Consistency-Aware Learning	147
Curriculum-Based Asymmetric Multi-Task Reinforcement Learning	147
Reconstruction Guided Meta-Learning for Few Shot Open Set Recognition	146
Dynamic Self-Supervised Teacher-Student Network Learning	146
Variational Data-Free Knowledge Distillation for Continual Learning	146
SVGDreamer++: Advancing Editability and Diversity in Text-Guided SVG Generation	144
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks	143
LMP-GAN: Out-of-Distribution Detection for Non-Control Data Malware Attacks	141
Compositional Scene Representation Learning via Reconstruction: A Survey	141
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks	139
Enhancing Photorealism Enhancement	138
Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation	138
Unbiased Scene Graph Generation via Two-Stage Causal Modeling	135
Rate-Distortion Theory in Coding for Machines and Its Applications	134
Discriminant Feature Extraction by Generalized Difference Subspace	134
MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network	130
Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining	128
Self-Supervised Multimodal Learning: A Survey	127
Orientational Distribution Learning with Hierarchical Spatial Attention for Open Set Recognition	126
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses	126
Deep Gait Recognition: A Survey	126
A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning	126
Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks	126
PathNet: Path-Selective Point Cloud Denoising	125
Random Permutation Set Reasoning	125
Differentially Private Graph Neural Networks for Whole-Graph Classification	123
Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining	122
Revisiting Nonlocal Self-Similarity from Continuous Representation	121
Image-to-Image Translation With Disentangled Latent Vectors for Face Editing	121
Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving	121
A Fully Automated Method for 3D Individual Tooth Identification and Segmentation in Dental CBCT	120
Knowledge-Based Embodied Question Answering	120
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector	120
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning	119

P2T: Pyramid Pooling Transformer for Scene Understanding	119
Towards Pointsets Representation Learning via Self-Supervised Learning and Set Augmentation	118
Advances and Challenges in Meta-Learning: A Technical Review	117
VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision	116
From Simple to Complex Scenes: Learning Robust Feature Representations for Accurate Human Parsing	116
Domain Generalization: A Survey	116
Interpretable Optimization-Inspired Unfolding Network for Low-Light Image Enhancement	116
AutoNovel: Automatically Discovering and Learning Novel Visual Categories	116
Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond	115
HiGCIN: Hierarchical Graph-Based Cross Inference Network for Group Activity Recognition	115
MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion	114
Accurate and Efficient Stereo Matching via Attention Concatenation Volume	114
A Style-Based Generator Architecture for Generative Adversarial Networks	114
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking	114
Deep Learning for Face Anti-Spoofing: A Survey	114
Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications	113
Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap	113
Weakly Supervised Tracklet Association Learning With Video Labels for Person Re-Identification	113
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey	112
Hypergraph-Based Multi-View Action Recognition Using Event Cameras	112
Semi-Supervised Learning for FGVC With Out-of-Category Data	111
Any Fashion Attribute Editing: Dataset and Pretrained Models	110
JointFormer: A Unified Framework With Joint Modeling for Video Object Segmentation	110
ComputingEdge ad	110
WildVideo: Benchmarking LMMs for Understanding Video-Language Interaction	110
Low-Shot Video Object Segmentation	110
Hypergraph-Based High-Order Correlation Analysis for Large-Scale Long-Tailed Data Classification	109
MoBluRF: Motion Deblurring Neural Radiance Fields for Blurry Monocular Video	109
Cover 3	109
Test-Time Training for Hyperspectral Image Super-Resolution	108
On the Universal Approximation Properties of Deep Neural Networks Using MAM Neurons	108
3D Visual Saliency: An Independent Perceptual Measure or a Derivative of 2D Image Saliency?	107
Reframing Neural Networks: Deep Structure in Overcomplete Representations	107
SS-NeRF: Physically Based Sparse Spectral Rendering with Neural Radiance Field	106
S$^{2}$ 2O: Enhancing Adversarial Training With Second-Order Statistics of Weights	105
Self-Guidance: Boosting Flow and Diffusion Generation on Their Own	105
DeepMesh: Differentiable Iso-Surface Extraction	105
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses	104
STAR-FC: Structure-Aware Face Clustering on Ultra-Large-Scale Graphs	104
Supervision by Denoising	103
PMGT-VR: a Decentralized Proximal-gradient Algorithmic Framework with Variance Reduction	103
Towards Reliable and Faithful Explanations: A Disentanglement-Augmented Approach for Selective Rationalization	102
Noisy Label Learning With Provable Consistency for a Wider Family of Losses	102
Probabilistic Directed Distance Fields for Ray-Based Shape Representations	102
Unified Modality Separation: A Vision-Language Framework for Unsupervised Domain Adaptation	102
CycMuNet+: Cycle-Projected Mutual Learning for Spatial-Temporal Video Super-Resolution	101
AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation?	101
Heterogeneous Feature Re-Sampling for Balanced Pedestrian Attribute Recognition	101
Scale Propagation Network for Generalizable Depth Completion	100
An Energy-Based Prior for Generative Saliency	100
The Cluster Structure Function	100
Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding	100
Editorial: Special Section on Egocentric Perception	99
Adversarially Robust Neural Architectures	99
Continual Unsupervised Generative Modeling	99
PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference	99
Compositional Generative Model of Unbounded 4D Cities	98
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection	98
Compositional Physical Reasoning of Objects and Events From Videos	98
Joint Framework for Single Image Reconstruction and Super-Resolution With an Event Camera	97
GLC++: Source-Free Universal Domain Adaptation Through Global-Local Clustering and Contrastive Affinity Learning	96
luvHarris: A Practical Corner Detector for Event-Cameras	96
Orthogonal Decoupling Contrastive Regularization: Towards Uncorrelated Feature Decoupling for Unpaired Image Restoration	96
Stimulative Training++: Go Beyond the Performance Limits of Residual Networks	95
RGB-T Tracking With Template-Bridged Search Interaction and Target-Preserved Template Updating	95
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging	94
Multi-Modality Multi-Attribute Contrastive Pre-Training for Image Aesthetics Computing	94
SKDF: A Simple Knowledge Distillation Framework for Distilling Open-Vocabulary Knowledge to Open-World Object Detector	94
Relationship Quantification of Image Degradations	94
Deciphering the Feature Representation of Deep Neural Networks for High-Performance AI	94
Reusable Architecture Growth for Continual Stereo Matching	93
Unified Adversarial Patch for Visible-Infrared Cross-Modal Attacks in the Physical World	93
Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization	93
Distributionally Location-Aware Transferable Adversarial Patches for Facial Images	92
Dynamic Differential Image Circle Diameter Measurement Precision Assessment: Application to Burning Droplets	91
MB-TaylorFormer V2: Improved Multi-Branch Linear Transformer Expanded by Taylor Formula for Image Restoration	91
Progressive Instance-Aware Feature Learning for Compositional Action Recognition	90
ONNXPruner: ONNX-Based General Model Pruning Adapter	90
$\mathcal {X}$-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing	90
Support Vector Machine Classifier via Soft-Margin Loss	90
Conformal Prediction for Time Series	90
Adaptive Perspective Distillation for Semantic Segmentation	90
Disentangled Representation Learning	89
Learning to Super-Resolve Blurry Images With Events	89
Recurrent Neural Networks for Snapshot Compressive Imaging	89
Deep Learning on Object-Centric 3D Neural Fields	89
A Thorough Benchmark and a New Model for Light Field Saliency Detection	89
SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation	88
Improving Machine Vision Using Human Perceptual Representations: The Case of Planar Reflection Symmetry for Object Classification	88
Revealing the Dark Side of Non-Local Attention in Single Image Super-Resolution	88
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning	88
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation	88
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset	88
FreeFusion: Infrared and Visible Image Fusion via Cross Reconstruction Learning	87
Analysis of the Hands in Egocentric Vision: A Survey	87