IEEE Transactions on Pattern Analysis and Machine Intelligence

Papers
(The H4-Index of IEEE Transactions on Pattern Analysis and Machine Intelligence is 122. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
Learn to Predict Sets Using Feed-Forward Neural Networks2618
DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus2079
Time-Resolved Far Infrared Light Transport Decomposition for Thermal Photometric Stereo1284
Ensemble-Enhanced Semi-Supervised Learning With Optimized Graph Construction for High-Dimensional Data1225
Learning to Guide a Saturation-Based Theorem Prover1201
VATr++: Choose Your Words Wisely for Handwritten Text Generation1151
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification1131
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation1110
Modeling Noisy Annotations for Point-Wise Supervision1054
Face Forgery Detection by 3D Decomposition and Composition Search1050
Invariant Policy Learning: A Causal Perspective1022
Active Supervised Cross-Modal Retrieval820
Cover683
Editorial Board664
[Back inside cover]599
[Back cover - Table of contents, continued]590
Front Cover565
Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach537
Adaptive Surface Normal Constraint for Geometric Estimation From Monocular Images485
Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models483
A Generative Model for Generic Light Field Reconstruction432
Learning Graph Convolutional Networks for Multi-Label Recognition and Applications415
Motion-Aware Dynamic Graph Neural Network for Video Compressive Sensing412
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference406
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting401
Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems391
Multi-Dataset, Multitask Learning of Egocentric Vision Tasks370
One-for-All: Towards Universal Domain Translation With a Single StyleGAN367
DVIS++: Improved Decoupled Framework for Universal Video Segmentation350
S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation348
Deep Non-Rigid Structure From Motion With Missing Data342
Instance Shadow Detection with A Single-Stage Detector342
Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation333
Physics-Informed Guided Disentanglement in Generative Networks331
Symbolic Visual Reinforcement Learning: A Scalable Framework With Object-Level Abstraction and Differentiable Expression Search323
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition318
Enhancing Representations through Heterogeneous Self-Supervised Learning317
Towards Accurate and Compact Architectures via Neural Architecture Transformer312
Inferring Point Cloud Quality via Graph Similarity308
Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models302
Quadratic Matrix Factorization With Applications to Manifold Learning291
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization287
OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation286
Towards Unified Deep Image Deraining: A Survey and A New Benchmark283
Interaction-Based Inductive Bias in Graph Neural Networks: Enhancing Protein-Ligand Binding Affinity Predictions From 3D Structures282
Separable Spatial-Temporal Residual Graph for Cloth-Changing Group Re-Identification282
Transformer-Based Visual Segmentation: A Survey277
Affective Image Content Analysis: Two Decades Review and New Perspectives272
Are Graph Convolutional Networks With Random Weights Feasible?270
Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution268
Learning With Style: Continual Semantic Segmentation Across Tasks and Domains263
Prior Image Guided Snapshot Compressive Spectral Imaging254
Optimization-Based Post-Training Quantization With Bit-Split and Stitching251
Locating and Counting Heads in Crowds With a Depth Prior250
Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks249
ResNet-LDDMM: Advancing the LDDMM Framework using Deep Residual Networks244
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness230
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks229
Interactive NeRF Geometry Editing With Shape Priors224
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning222
Centerless Clustering215
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting213
Weakly Supervised Semantic Segmentation via Box-Driven Masking and Filling Rate Shifting211
Graph Convolutional Module for Temporal Action Localization in Videos204
Simplicial Complex Neural Networks197
Probing Synergistic High-Order Interaction for Multi-Modal Image Fusion197
Detection-Friendly Dehazing: Object Detection in Real-World Hazy Scenes194
Structure-Preserving Image Super-Resolution194
Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method190
Face Generation and Editing With StyleGAN: A Survey188
A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation186
Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching184
Deep Long-Tailed Learning: A Survey183
Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration178
Unsupervised Domain Adaptation via Discriminative Manifold Propagation177
Multi-Task Head Pose Estimation in-the-Wild176
SVGDreamer++: Advancing Editability and Diversity in Text-Guided SVG Generation173
Fast Component Tree Computation for Images of Limited Levels172
Human-Centric Transformer for Domain Adaptive Action Recognition169
Cover 2168
Cover168
Towards Pointsets Representation Learning via Self-Supervised Learning and Set Augmentation167
Cover166
Table of Contents166
Cover166
IEEE Computer Society Has You Covered!165
Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications164
Differentially Private Graph Neural Networks for Whole-Graph Classification164
Orientational Distribution Learning with Hierarchical Spatial Attention for Open Set Recognition163
TPAMI Information for Authors161
Point Set Registration for 3D Range Scans Using Fuzzy Cluster-Based Metric and Efficient Global Optimization160
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks159
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning159
MoIL: Momentum Imitation Learning for Efficient Vision-Language Adaptation157
MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network155
BNET: Batch Normalization With Enhanced Linear Transformation155
Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond155
Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene154
VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision154
Reconstruction Guided Meta-Learning for Few Shot Open Set Recognition150
AutoNovel: Automatically Discovering and Learning Novel Visual Categories148
Differential Viewpoints for Ground Terrain Material Recognition147
Compositional Scene Representation Learning via Reconstruction: A Survey146
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector145
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets143
Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving142
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning141
Weakly Supervised Tracklet Association Learning With Video Labels for Person Re-Identification136
A Variational EM Acceleration for Efficient Clustering at Very Large Scales136
LMP-GAN: Out-Of-Distribution Detection For Non-Control Data Malware Attacks134
Rate-Distortion Theory in Coding for Machines and its Applications133
Interpretable Optimization-Inspired Unfolding Network for Low-Light Image Enhancement133
Enhancing Photorealism Enhancement132
Correcting Optical Aberration via Depth-Aware Point Spread Functions131
Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks131
Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning131
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification131
SPLiT: Single Portrait Lighting Estimation via a Tetrad of Face Intrinsics130
From Simple to Complex Scenes: Learning Robust Feature Representations for Accurate Human Parsing129
Dynamic Self-Supervised Teacher-Student Network Learning126
Hypergraph-Based Multi-View Action Recognition Using Event Cameras126
Bridging Actions: Generate 3D Poses and Shapes In-Between Photos125
Learning Graph Attentions via Replicator Dynamics122
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