Journal & Article

Artificial Intelligence

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Survey of Computerized Adaptive Testing: A Machine Learning Perspective Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors From a Bi-level Optimization Perspective Adaptive Aggregation of Monte Carlo Augmented Decomposed Filters for Efficient Group-Equivariant Convolutional Neural Network Efficient Training of Large Vision Models via Advanced Automated Progressive Learning Hyper-Compression: Model Compression via Hyperfunction ChatTracker: Enhancing Visual Tracking via LLM-Driven Iterative Description Refinement Toward Ultrafast Depth Sensing via Active Event-Based Stereo Vision From Channel Bias to Feature Redundancy: Uncovering the “Less is More” Principle in Few-Shot Learning Beyond Support Samples: Incorporating Unlabeled Queries for Few-Shot Semantic Segmentation Confidence-Aware Pseudo-Label Self-Correction for Weakly Supervised Visual Grounding Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-Coupled Analysis Variational Bayesian Personalized Ranking DGPDL: Domain-Guided Prompt Distribution Learning for Generalizable Face Anti-Spoofing Concept Drift and Long-Tailed Distribution in Fine-Grained Visual Categorization: Benchmark and Method Bridging Datasets and Hyperparameters: GCN-Based Link Prediction for Recommendation HIMO: Cross-Arbitrary-Modality Image Invariant Feature Transform With Hierarchical Intrinsic Major Orientation Interacted Planes Reveal 3D Line Mapping Dream to Recall: Imagination-Guided Experience Retrieval for Memory-Persistent Vision-and-Language Navigation Distilling Object Detectors via Monte Carlo Dropout Multi-View Clustering via Bilaterally Constrained Anchor Graph Understanding the Effects of Projectors in Knowledge Distillation Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey Principled Multimodal Representation Learning Out-of-Sight Embodied Agents: Multimodal Tracking, Sensor Fusion, and Trajectory Forecasting Mirror Descent Safe Policy Optimization for Reinforcement Learning Agents One-Step Diffusion and Flow Distillation Through Implicit Generator Matching Collaborative Multi-Modal Coding for High-Quality 3D Generation Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Stability and Generalization for Distributed SGDA OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Models Revisiting Face Forgery Detection: From Facial Representation to Forgery Detection Fast and Scalable Hashing-Based Universal Graph Coarsening Track-On2: Enhancing Online Point Tracking With Memory Pragmatic Communication in Multi-Agent Collaborative Perception Sparse Variational Information Bottleneck Gaussian Processes for Uncertainty Estimation SCGT: Toward Scalable and Comprehensive Graph Transformer SHADOW: Secure Hidden Authenticating Digital Objects in the Wild Match Stereo Videos via Bidirectional Alignment A Pose-Only Geometric Constraint for Multi-Camera Pose Adjustment Robust Adaptation of Foundation Models With Black-Box Visual Prompting Deep Information-Balanced Multimodal Learning Learning Three-Domain Implicit Image Function for Arbitrary-Scale Light Field Super-Resolution Learning Continuous Spatiotemporal Implicit Neural Fields for Unsupervised Video Denoising Dual Geometry Margin Optimization for Coupled-Noisy Robust Ensemble Learning DrawMotion: Generating 3D Human Motions by Freehand Drawing Cross-Frequency Implicit Neural Representation With Self-Evolving Parameters Text4Seg++: Advancing Image Segmentation via Generative Language Modeling DreamFuse: Toward Realistic and Seamless Image Fusion Across Diverse Scenarios Motion2VecSets: Non-Rigid Shape Reconstruction and Tracking With 4D Latent Set Diffusion MAN++: Scaling Momentum Auxiliary Network for Supervised Local Learning in Vision Tasks