Journal & Article

Artificial Intelligence

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

On the Transferability and Discriminability of Representation Learning in Unsupervised Domain Adaptation Forget Me Not: Fighting Local Overfitting With Knowledge Fusion and Distillation GrowSP++: Growing Superpoints and Primitives for Unsupervised 3D Semantic Segmentation Learning Deep Tree-Based Retriever for Efficient Recommendation: Theory and Method You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling With Gradient Shortcuts DiFaReli++: Diffusion Face Relighting With Consistent Cast Shadows Iterative Differential Entropy Minimization (IDEM) Method for Fine Rigid Pairwise 3D Point Cloud Registration: A Focus on the Metric Fast Multi-view Discrete Clustering via Spectral Embedding Fusion Diffusion-Driven Self-Supervised Learning for Shape Reconstruction and Pose Estimation Human Motion Prediction via Continual Prior Compensation Continuous Review and Timely Correction: Enhancing the Resistance to Noisy Labels via Self-Not-True and Class-Wise Distillation MADTP++: Bridge the Gap Between Token and Weight Pruning for Accelerating VLTs Unleashing the Power of Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation Model Lineage Analysis: Determination and Closeness Measurement A Hierarchical Prior Mining Approach for Non-Local Multi-View Stereo RealLiFe: Real-Time Light Field Reconstruction via Hierarchical Sparse Gradient Descent Incremental Online Learning of Randomized Neural Network With Forward Regularization Robust Distributed Cooperative Classification With Learned Compressed-Feature Diffusion HGNNv2: Stable Hypergraph Neural Networks OIF-PCR++: Point Cloud Registration via Progressive Distillation of Conditional Positional Encoding Instructed Diffuser With Temporal Condition Guidance for Offline Reinforcement Learning Causal Inference via Style Bias Deconfounding for Domain Generalization Next Bit Prediction: A Unified Lossless and Lossy Point Cloud Geometry Compression Framework Hierarchical Context Alignment With Disentangled Geometric and Temporal Modeling for Semantic Occupancy Prediction CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey Integrating Affordances and Attention Models for Short-Term Object Interaction Anticipation How to Break It Down for Building It Up? Theory-Guided Graph Decomposition Learning for Spatiotemporal Traffic Prediction Efficient Exploration for Multi-Agent Diversity With Agent Identity NuwaDynamics+: A Causality-Aware Generative Framework for Spatio-Temporal Representation Learning Beyond LLaVA-HD: Diving Into High-Resolution Multimodal Large Language Models Accelerated Optimization of Large Mixture-of-Experts Models by Density-Aware Multi-Stage Learning Deep Orientational Representation Learning for Ordinal Regression Neuron Abandoning Attention Flow: Visual Explanation of Dynamics Inside CNN Models Lifelong Learning of Large Language Model Based Agents: A Roadmap Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination Parse, Align and Aggregate: Graph-Driven Compositional Reasoning for Video Question Answering Low-Rank Tensor Learning by Generalized Nonconvex Regularization LRANet++: Low-Rank Approximation Network for Accurate and Efficient Text Spotting ConsistentID: Portrait Generation With Multimodal Fine-Grained Identity Preserving IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models Seeing Through Satellite Images at Street Views Searching to Modulate for Cold-Start Recommendation AtomThink: Multimodal Slow Thinking With Atomic Step Reasoning An Efficient Multi-Estimation-Based Parameter Centroid Decision via Linear Regression Approach DyDiT++: Diffusion Transformers With Timestep and Spatial Dynamics for Efficient Visual Generation Reinforced Refinement With Self-Aware Expansion for End-to-End Autonomous Driving MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition Non-Gradient Hash Factor Learning for High-Dimensional and Incomplete Data Representation Learning Single-Photon Imaging in Complex Scenarios via Physics-Informed Deep Neural Networks