Journal & Article

Artificial Intelligence

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Global Model Selection via Solution Paths for Robust Support Vector Machine Self-Supervised Learning for Real-World Super-Resolution From Dual and Multiple Zoomed Observations A Versatile Framework for Multi-Scene Person Re-Identification Fast Window-Based Event Denoising With Spatiotemporal Correlation Enhancement Imaginary-Connected Embedding in Complex Space for Unseen Attribute-Object Discrimination Multi-Scale Part-Based Feature Representation for 3D Domain Generalization and Adaptation Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning PATNAS: A Path-Based Training-Free Neural Architecture Search Correlation Verification for Image Retrieval and Its Memory Footprint Optimization BokehMe++: Harmonious Fusion of Classical and Neural Rendering for Versatile Bokeh Creation Partial Scene Text Retrieval Streaming Quanta Sensors for Online, High-Performance Imaging and Vision DiffI2I: Efficient Diffusion Model for Image-to-Image Translation Fine-Grained Visual Text Prompting Practical Compact Deep Compressed Sensing IBCS: Learning Information Bottleneck-Constrained Denoised Causal Subgraph for Graph Classification DiffAct++: Diffusion Action Segmentation Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor Regression Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior WinDB: HMD-Free and Distortion-Free Panoptic Video Fixation Learning MIGC++: Advanced Multi-Instance Generation Controller for Image Synthesis Fair Clustering Ensemble With Equal Cluster Capacity Adaptive Graph Learning With Semantic Promotability for Domain Adaptation MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation Uni-AdaFocus: Spatial-Temporal Dynamic Computation for Video Recognition NAS-PED: Neural Architecture Search for Pedestrian Detection Generalized Face Liveness Detection via De-Fake Face Generator STAR: A First-Ever Dataset and a Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery ELDP: Enhanced Label Distribution Propagation for Crowdsourcing Unsupervised Global and Local Homography Estimation With Coplanarity-Aware GAN LVLM-EHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models JARVIS-1: Open-World Multi-Task Agents With Memory-Augmented Multimodal Language Models Scale Propagation Network for Generalizable Depth Completion Iteratively Capped Reweighting Norm Minimization With Global Convergence Guarantee for Low-Rank Matrix Learning Remembering What is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection Spiking Variational Policy Gradient for Brain Inspired Reinforcement Learning Spectrally-Corrected and Regularized LDA for Spiked Model A Survey and Benchmark of Automatic Surface Reconstruction From Point Clouds BEVFormer: Learning Bird’s-Eye-View Representation From LiDAR-Camera via Spatiotemporal Transformers Saliency-Free and Aesthetic-Aware Panoramic Video Navigation Fast Semi-Supervised Learning on Large Graphs: An Improved Green-Function Method Fully-Connected Transformer for Multi-Source Image Fusion Natural Adversarial Mask for Face Identity Protection in Physical World PDPP: Projected Diffusion for Procedure Planning in Instructional Videos Hierarchical Banzhaf Interaction for General Video-Language Representation Learning Continual Learning: Forget-Free Winning Subnetworks for Video Representations Trajectory of Fifths Based on Chroma Subbands Extraction–A New Approach to Music Representation, Analysis, and Classification