Journal & Article

Artificial Intelligence

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Weakly and Self-Supervised Class-Agnostic Motion Prediction for Autonomous Driving Communication-Efficient Federated Multi-View Clustering Efficient High-Order Spatial Interactions for Visual Perception Foundation Model for Skeleton-Based Human Action Understanding Unsupervised Gaze Representation Learning by Switching Features An End-to-End Depth-Based Pipeline for Selfie Image Rectification Creating Multimodal Interactive Digital Twin Characters From Videos: A Dataset and Baseline I-Filtering: Implicit Filtering for Learning Neural Distance Functions From 3D Point Clouds Make Identity Indistinguishable: Utility-Preserving Face Dataset Publication With Provable Privacy Guarantees Active Learning for Multiple Target Models Graph-Oriented Instruction Tuning of Large Language Models for Generic Graph Mining SparseTSF: Lightweight and Robust Time Series Forecasting via Sparse Modeling GAN-Based Domain Adaptation for Image-Aware Layout Generation in Advertising Poster Design Deep Lookup Network Structure-Induced Gradient Regulation for Generalizable Vision-Language Models Partial Multiview Incomplete Multilabel Learning via Uncertainty-Driven Reliable Dynamic Fusion Hierarchical Spherical CNNs With Lifting-Based Adaptive Wavelets for Pooling and Unpooling Hypergraph-Based High-Order Correlation Analysis for Large-Scale Long-Tailed Data Classification PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference Sentence-Level Relation Semantics Learning via Contrastive Sentences Compositional Generative Model of Unbounded 4D Cities Spherical Vision Transformers for Audio-Visual Saliency Prediction in 360$^{\circ }$∘ Videos EBSnoR: Event-Based Snow Removal by Optimal Dwell Time Thresholding Bidirectional Beta-Tuned Diffusion Model MovieChat+: Question-Aware Sparse Memory for Long Video Question Answering Learning Heterogeneous Mixture of Scene Experts for Large-Scale Neural Radiance Fields PMGT-VR: A Decentralized Proximal-Gradient Algorithmic Framework With Variance Reduction Parse Trees Guided LLM Prompt Compression Task-Distributionally Robust Data-Free Meta-Learning Improving Generalized Visual Grounding With Instance-Aware Joint Learning Reinterpreting Hypergraph Kernels: Insights Through Homomorphism Analysis ADA-Track++: End-to-End Multi-Camera 3D Multi-Object Tracking With Alternating Detection and Association Segmenting the Motion Components of a Video: A Long-Term Unsupervised Model H2OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers Transfer Learning of Stochastic Kriging for Individualized Prediction Toward Effective Knowledge Distillation: Navigating Beyond Small-Data Pitfall Object Detection Data Synthesis via Box-to-Image Generation Based on Diffusion Models Semantic-Assisted Object Clustering for Multi-Modal Referring Video Segmentation Mask-DiFuser: A Masked Diffusion Model for Unified Unsupervised Image Fusion MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection SNNTracker: Online High-Speed Multi-Object Tracking With Spike Camera A Unified Perspective for Loss-Oriented Imbalanced Learning via Localization Translating Images to Road Network: A Sequence-to-Sequence Perspective End-to-End Autonomous Driving Without Costly Modularization and 3D Manual Annotation REST: Holistic Learning for End-to-End Semantic Segmentation of Whole-Scene Remote Sensing Imagery Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration HSIGene: A Foundation Model for Hyperspectral Image Generation Efficient 3D Surface Super-Resolution via Normal-Based Multimodal Restoration Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights Self-Guidance: Boosting Flow and Diffusion Generation on Their Own