IEEE Transactions on Pattern Analysis and Machine Intelligence

Article	Citations
Learn to Predict Sets Using Feed-Forward Neural Networks	2618
DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus	2079
Time-Resolved Far Infrared Light Transport Decomposition for Thermal Photometric Stereo	1284
Ensemble-Enhanced Semi-Supervised Learning With Optimized Graph Construction for High-Dimensional Data	1225
Learning to Guide a Saturation-Based Theorem Prover	1201
VATr++: Choose Your Words Wisely for Handwritten Text Generation	1151
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification	1131
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation	1110
Modeling Noisy Annotations for Point-Wise Supervision	1054
Face Forgery Detection by 3D Decomposition and Composition Search	1050
Invariant Policy Learning: A Causal Perspective	1022
Active Supervised Cross-Modal Retrieval	820
Cover	683
Editorial Board	664
[Back inside cover]	599
[Back cover - Table of contents, continued]	590
Front Cover	565
Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach	537
Adaptive Surface Normal Constraint for Geometric Estimation From Monocular Images	485
Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models	483
A Generative Model for Generic Light Field Reconstruction	432
Learning Graph Convolutional Networks for Multi-Label Recognition and Applications	415
Motion-Aware Dynamic Graph Neural Network for Video Compressive Sensing	412
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference	406
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting	401

Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems	391
Multi-Dataset, Multitask Learning of Egocentric Vision Tasks	370
One-for-All: Towards Universal Domain Translation With a Single StyleGAN	367
DVIS++: Improved Decoupled Framework for Universal Video Segmentation	350
S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation	348
Deep Non-Rigid Structure From Motion With Missing Data	342
Instance Shadow Detection with A Single-Stage Detector	342
Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation	333
Physics-Informed Guided Disentanglement in Generative Networks	331
Symbolic Visual Reinforcement Learning: A Scalable Framework With Object-Level Abstraction and Differentiable Expression Search	323
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition	318
Enhancing Representations through Heterogeneous Self-Supervised Learning	317
Towards Accurate and Compact Architectures via Neural Architecture Transformer	312
Inferring Point Cloud Quality via Graph Similarity	308
Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models	302
Quadratic Matrix Factorization With Applications to Manifold Learning	291
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization	287
OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation	286
Towards Unified Deep Image Deraining: A Survey and A New Benchmark	283
Interaction-Based Inductive Bias in Graph Neural Networks: Enhancing Protein-Ligand Binding Affinity Predictions From 3D Structures	282
Separable Spatial-Temporal Residual Graph for Cloth-Changing Group Re-Identification	282
Transformer-Based Visual Segmentation: A Survey	277
Affective Image Content Analysis: Two Decades Review and New Perspectives	272
Are Graph Convolutional Networks With Random Weights Feasible?	270
Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution	268
Learning With Style: Continual Semantic Segmentation Across Tasks and Domains	263
Prior Image Guided Snapshot Compressive Spectral Imaging	254
Optimization-Based Post-Training Quantization With Bit-Split and Stitching	251
Locating and Counting Heads in Crowds With a Depth Prior	250
Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks	249
ResNet-LDDMM: Advancing the LDDMM Framework using Deep Residual Networks	244
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness	230
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks	229
Interactive NeRF Geometry Editing With Shape Priors	224
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning	222
Centerless Clustering	215
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting	213
Weakly Supervised Semantic Segmentation via Box-Driven Masking and Filling Rate Shifting	211
Graph Convolutional Module for Temporal Action Localization in Videos	204
Probing Synergistic High-Order Interaction for Multi-Modal Image Fusion	197
Simplicial Complex Neural Networks	197
Structure-Preserving Image Super-Resolution	194
Detection-Friendly Dehazing: Object Detection in Real-World Hazy Scenes	194
Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method	190
Face Generation and Editing With StyleGAN: A Survey	188
A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation	186
Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching	184
Deep Long-Tailed Learning: A Survey	183
Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration	178
Unsupervised Domain Adaptation via Discriminative Manifold Propagation	177

Multi-Task Head Pose Estimation in-the-Wild	176
SVGDreamer++: Advancing Editability and Diversity in Text-Guided SVG Generation	173
Fast Component Tree Computation for Images of Limited Levels	172
Human-Centric Transformer for Domain Adaptive Action Recognition	169
Cover 2	168
Cover	168
Towards Pointsets Representation Learning via Self-Supervised Learning and Set Augmentation	167
Cover	166
Cover	166
Table of Contents	166
IEEE Computer Society Has You Covered!	165
Differentially Private Graph Neural Networks for Whole-Graph Classification	164
Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications	164
Orientational Distribution Learning with Hierarchical Spatial Attention for Open Set Recognition	163
TPAMI Information for Authors	161
Point Set Registration for 3D Range Scans Using Fuzzy Cluster-Based Metric and Efficient Global Optimization	160
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks	159
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning	159
MoIL: Momentum Imitation Learning for Efficient Vision-Language Adaptation	157
MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network	155
BNET: Batch Normalization With Enhanced Linear Transformation	155
Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond	155
Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene	154
VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision	154
Reconstruction Guided Meta-Learning for Few Shot Open Set Recognition	150
AutoNovel: Automatically Discovering and Learning Novel Visual Categories	148
Differential Viewpoints for Ground Terrain Material Recognition	147
Compositional Scene Representation Learning via Reconstruction: A Survey	146
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector	145
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets	143
Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving	142
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning	141
A Variational EM Acceleration for Efficient Clustering at Very Large Scales	136
Weakly Supervised Tracklet Association Learning With Video Labels for Person Re-Identification	136
LMP-GAN: Out-Of-Distribution Detection For Non-Control Data Malware Attacks	134
Rate-Distortion Theory in Coding for Machines and its Applications	133
Interpretable Optimization-Inspired Unfolding Network for Low-Light Image Enhancement	133
Enhancing Photorealism Enhancement	132
Correcting Optical Aberration via Depth-Aware Point Spread Functions	131
Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks	131
Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning	131
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification	131
SPLiT: Single Portrait Lighting Estimation via a Tetrad of Face Intrinsics	130
From Simple to Complex Scenes: Learning Robust Feature Representations for Accurate Human Parsing	129
Dynamic Self-Supervised Teacher-Student Network Learning	126
Hypergraph-Based Multi-View Action Recognition Using Event Cameras	126
Bridging Actions: Generate 3D Poses and Shapes In-Between Photos	125
Learning Graph Attentions via Replicator Dynamics	122
GradMDM: Adversarial Attack on Dynamic Networks	121
Revisiting Nonlocal Self-Similarity from Continuous Representation	121
Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining	121
Discriminant Feature Extraction by Generalized Difference Subspace	117
Human Interaction Understanding With Consistency-Aware Learning	117
Out-of-Domain Generalization From a Single Source: An Uncertainty Quantification Approach	117
Robust Multimodal Learning With Missing Modalities via Parameter-Efficient Adaptation	117
Inter-Intra Hypergraph Computation for Survival Prediction on Whole Slide Images	115
Reduced-Rank Tensor-on-Tensor Regression and Tensor-Variate Analysis of Variance	114
Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression	114
Self-Supervised Multimodal Learning: A Survey	112
Spatial-Temporal Transformer for Video Snapshot Compressive Imaging	112
Domain Generalization: A Survey	112
Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap	111
On the Robustness of Average Losses for Partial-Label Learning	111
Variational Data-Free Knowledge Distillation for Continual Learning	111
Accurate and Efficient Stereo Matching via Attention Concatenation Volume	111
Curriculum-Based Asymmetric Multi-Task Reinforcement Learning	111
HiGCIN: Hierarchical Graph-Based Cross Inference Network for Group Activity Recognition	110
Deep Gait Recognition: A Survey	108
Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation	108
Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification	108
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey	107
Unbiased Scene Graph Generation via Two-Stage Causal Modeling	107
Advances and Challenges in Meta-Learning: A Technical Review	107
A Fully Automated Method for 3D Individual Tooth Identification and Segmentation in Dental CBCT	106
P2T: Pyramid Pooling Transformer for Scene Understanding	105
A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning	105
PathNet: Path-Selective Point Cloud Denoising	104
Random Permutation Set Reasoning	103
Knowledge-Based Embodied Question Answering	103
Learning to See Through With Events	103

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses	102
MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion	102
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks	101
Image-to-Image Translation With Disentangled Latent Vectors for Face Editing	101
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking	101
Deep Learning for Face Anti-Spoofing: A Survey	101
On Positive-Unlabeled Classification from Corrupted Data in GANs	98
ComputingEdge ad	97
A Style-Based Generator Architecture for Generative Adversarial Networks	97
Disentangled Representation Learning	96
ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning	96
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging	95
Adversarially Robust Neural Architectures	95
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset	94
MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restoration	94
Learning to Super-Resolve Blurry Images With Events	94
DeepMesh: Differentiable Iso-Surface Extraction	94
Joint Framework for Single Image Reconstruction and Super-Resolution With an Event Camera	93
Quicker ADC : Unlocking the Hidden Potential of Product Quantization With SIMD	93
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks	93
Deciphering the Feature Representation of Deep Neural Networks for High-Performance AI	92
A Thorough Benchmark and a New Model for Light Field Saliency Detection	91
JointFormer: A Unified Framework with Joint Modeling for Video Object Segmentation	91
GhostingNet: A Novel Approach for Glass Surface Detection With Ghosting Cues	91
SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation	90
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search	90
Semi-Supervised Learning for FGVC With Out-of-Category Data	90
Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation	89
Conformal Prediction for Time Series	89
$\mathcal {X}$-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing	88
Learning With Constraint Learning: New Perspective, Solution Strategy and Various Applications	87
Deep Learning on Object-Centric 3D Neural Fields	86
Progressive Instance-Aware Feature Learning for Compositional Action Recognition	85
Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization	85
Adaptive Perspective Distillation for Semantic Segmentation	84
Revealing the Dark Side of Non-Local Attention in Single Image Super-Resolution	84
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning	84
CycMuNet+: Cycle-Projected Mutual Learning for Spatial-Temporal Video Super-Resolution	83
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation	83
Point Spatio-Temporal Transformer Networks for Point Cloud Video Modeling	83
Support Vector Machine Classifier via Soft-Margin Loss	83
Analysis of the Hands in Egocentric Vision: A Survey	83
TE141K: Artistic Text Benchmark for Text Effect Transfer	82
LCBM: A Multi-View Probabilistic Model for Multi-Label Classification	82
[Back cover]	82
Cover 3	81
Distributionally Location-Aware Transferable Adversarial Patches for Facial Images	80
The Cluster Structure Function	80
Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding	80
Rolling Shutter Homography and its Applications	79
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses	79
RGB-T Tracking With Template-Bridged Search Interaction and Target-Preserved Template Updating	79
Editorial: Special Section on Egocentric Perception	79
Multi-Modality Multi-Attribute Contrastive Pre-Training for Image Aesthetics Computing	78
Reframing Neural Networks: Deep Structure in Overcomplete Representations	78
AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation?	78
Scale Propagation Network for Generalizable Depth Completion	77
An Energy-Based Prior for Generative Saliency	77
The Bayesian Cut	77
Noisy Label Learning With Provable Consistency for a Wider Family of Losses	76
Optimizing Regularized Cholesky Score for Order-Based Learning of Bayesian Networks	76
Unified Adversarial Patch for Visible-Infrared Cross-Modal Attacks in the Physical World	76
STAR-FC: Structure-Aware Face Clustering on Ultra-Large-Scale Graphs	76
Supervision by Denoising	76
Reusable Architecture Growth for Continual Stereo Matching	75
3D Visual Saliency: An Independent Perceptual Measure or A Derivative of 2D Image Saliency?	75
CC4S: Encouraging Certainty and Consistency in Scribble-Supervised Semantic Segmentation	75
Human as Points: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images	74
Heterogeneous Feature Re-Sampling for Balanced Pedestrian Attribute Recognition	73
Low-shot Video Object Segmentation	73
Generalized Task-Driven Medical Image Quality Enhancement With Gradient Promotion	72
Reinforcing Generated Images via Meta-Learning for One-Shot Fine-Grained Visual Recognition	72
Improving Machine Vision Using Human Perceptual Representations: The Case of Planar Reflection Symmetry for Object Classification	72
Recurrent Neural Networks for Snapshot Compressive Imaging	72
Test-time Training for Hyperspectral Image Super-resolution	72
ONNXPruner: ONNX-Based General Model Pruning Adapter	72
Pair Then Relation: Pair-Net for Panoptic Scene Graph Generation	71
Semantic Object Accuracy for Generative Text-to-Image Synthesis	71
luvHarris: A Practical Corner Detector for Event-Cameras	71
Single Image Deraining: From Model-Based to Data-Driven and Beyond	70
Dynamic Differential Image Circle Diameter Measurement Precision Assessment: Application to Burning Droplets	70
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection	70
Pixel Distillation: Cost-Flexible Distillation Across Image Sizes and Heterogeneous Networks	70
Continual Unsupervised Generative Modeling	70
IEEE Computer Society Has You Covered!	69
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning	69
A Unified Framework for Event-Based Frame Interpolation With Ad-Hoc Deblurring in the Wild	69
Cover 3	69
A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal	69
Table of Contents	69
Orientation Keypoints for 6D Human Pose Estimation	69
Neural 3D Scene Reconstruction With Indoor Planar Priors	68
Searching for Network Width With Bilaterally Coupled Network	68
A Modular Neural Motion Retargeting System Decoupling Skeleton and Shape Perception	68
FocalPose++: Focal Length and Object Pose Estimation via Render and Compare	68