OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Pattern Analysis and Machine Intelligence is 124. 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 2021-06-01 to 2025-06-01.)

Article	Citations
Learn to Predict Sets Using Feed-Forward Neural Networks	2703
DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus	2202
Time-Resolved Far Infrared Light Transport Decomposition for Thermal Photometric Stereo	1318
Ensemble-Enhanced Semi-Supervised Learning With Optimized Graph Construction for High-Dimensional Data	1275
Learning to Guide a Saturation-Based Theorem Prover	1234
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification	1173
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation	1171
Modeling Noisy Annotations for Point-Wise Supervision	1141
Face Forgery Detection by 3D Decomposition and Composition Search	1105
Invariant Policy Learning: A Causal Perspective	854
Cover	724
Editorial Board	711
[Back inside cover]	610
[Back cover - Table of contents, continued]	609
Front Cover	603
Adaptive Surface Normal Constraint for Geometric Estimation From Monocular Images	550
A Generative Model for Generic Light Field Reconstruction	511
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference	499
Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems	451
One-for-All: Towards Universal Domain Translation With a Single StyleGAN	433
DVIS++: Improved Decoupled Framework for Universal Video Segmentation	429
Deep Non-Rigid Structure From Motion With Missing Data	421
Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation	411
Symbolic Visual Reinforcement Learning: A Scalable Framework With Object-Level Abstraction and Differentiable Expression Search	392
Enhancing Representations through Heterogeneous Self-Supervised Learning	390

Quadratic Matrix Factorization With Applications to Manifold Learning	382
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization	362
Interaction-Based Inductive Bias in Graph Neural Networks: Enhancing Protein-Ligand Binding Affinity Predictions From 3D Structures	358
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks	354
Interactive NeRF Geometry Editing With Shape Priors	353
Towards Accurate and Compact Architectures via Neural Architecture Transformer	348
ResNet-LDDMM: Advancing the LDDMM Framework using Deep Residual Networks	348
Learning Graph Convolutional Networks for Multi-Label Recognition and Applications	337
OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation	331
Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration	331
Motion-Aware Dynamic Graph Neural Network for Video Compressive Sensing	329
Graph Convolutional Module for Temporal Action Localization in Videos	320
Probing Synergistic High-Order Interaction for Multi-Modal Image Fusion	316
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting	309
S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation	305
Active Supervised Cross-Modal Retrieval	304
Unsupervised Domain Adaptation via Discriminative Manifold Propagation	295
Separable Spatial-Temporal Residual Graph for Cloth-Changing Group Re-Identification	289
Towards Unified Deep Image Deraining: A Survey and A New Benchmark	289
Inferring Point Cloud Quality via Graph Similarity	287
Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models	285
Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks	274
VATr++: Choose Your Words Wisely for Handwritten Text Generation	274
Locating and Counting Heads in Crowds With a Depth Prior	265
Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach	262
Transformer-Based Visual Segmentation: A Survey	261
Detection-Friendly Dehazing: Object Detection in Real-World Hazy Scenes	258
Structure-Preserving Image Super-Resolution	250
Learning With Style: Continual Semantic Segmentation Across Tasks and Domains	247
Centerless Clustering	242
Instance Shadow Detection with A Single-Stage Detector	233
Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching	229
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning	227
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness	225
Face Generation and Editing With StyleGAN: A Survey	216
Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models	212
Optimization-Based Post-Training Quantization With Bit-Split and Stitching	211
Physics-Informed Guided Disentanglement in Generative Networks	211
Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution	207
Multi-Dataset, Multitask Learning of Egocentric Vision Tasks	204
Multi-Task Head Pose Estimation in-the-Wild	198
Are Graph Convolutional Networks With Random Weights Feasible?	197
Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method	196
Affective Image Content Analysis: Two Decades Review and New Perspectives	196
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting	193
A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation	190
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition	189
Deep Long-Tailed Learning: A Survey	183
Simplicial Complex Neural Networks	180
Weakly Supervised Semantic Segmentation via Box-Driven Masking and Filling Rate Shifting	178

Prior Image Guided Snapshot Compressive Spectral Imaging	178
SVGDreamer++: Advancing Editability and Diversity in Text-Guided SVG Generation	177
Fast Component Tree Computation for Images of Limited Levels	177
Human-Centric Transformer for Domain Adaptive Action Recognition	176
Cover	175
Towards Pointsets Representation Learning via Self-Supervised Learning and Set Augmentation	174
Cover 2	174
Cover	173
Cover	170
Table of Contents	168
Differentially Private Graph Neural Networks for Whole-Graph Classification	167
IEEE Computer Society Has You Covered!	167
TPAMI Information for Authors	166
Point Set Registration for 3D Range Scans Using Fuzzy Cluster-Based Metric and Efficient Global Optimization	164
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning	164
VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision	162
Reconstruction Guided Meta-Learning for Few Shot Open Set Recognition	161
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets	156
Differential Viewpoints for Ground Terrain Material Recognition	156
A Variational EM Acceleration for Efficient Clustering at Very Large Scales	155
Compositional Scene Representation Learning via Reconstruction: A Survey	154
Weakly Supervised Tracklet Association Learning With Video Labels for Person Re-Identification	154
Unbiased Scene Graph Generation via Two-Stage Causal Modeling	153
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey	152
BNET: Batch Normalization With Enhanced Linear Transformation	151
MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network	151
Image Lens Flare Removal Using Adversarial Curve Learning	150
Knowledge-Based Embodied Question Answering	149
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks	147
On the Robustness of Average Losses for Partial-Label Learning	147
Spatial-Temporal Transformer for Video Snapshot Compressive Imaging	140
Orientational Distribution Learning with Hierarchical Spatial Attention for Open Set Recognition	139
Image-to-Image Translation With Disentangled Latent Vectors for Face Editing	139
Learning to See Through With Events	138
LMP-GAN: Out-Of-Distribution Detection For Non-Control Data Malware Attacks	137
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification	136
Rate-Distortion Theory in Coding for Machines and its Applications	136
Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning	134
Correcting Optical Aberration via Depth-Aware Point Spread Functions	133
SPLiT: Single Portrait Lighting Estimation via a Tetrad of Face Intrinsics	132
Dynamic Self-Supervised Teacher-Student Network Learning	131
Learning Graph Attentions via Replicator Dynamics	129
Bridging Actions: Generate 3D Poses and Shapes In-Between Photos	129
Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining	127
GradMDM: Adversarial Attack on Dynamic Networks	125
Human Interaction Understanding With Consistency-Aware Learning	125
Revisiting Nonlocal Self-Similarity from Continuous Representation	125
Robust Multimodal Learning With Missing Modalities via Parameter-Efficient Adaptation	125
Discriminant Feature Extraction by Generalized Difference Subspace	124