Journal & Article

Artificial Intelligence

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Editorial: Introduction to the Special Section on Best of CVPR'2022 Learning to Solve Hard Minimal Problems Dual-Shutter Optical Vibration Sensing Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields Ego4D: Around the World in 3,600 Hours of Egocentric Video Transformer-Empowered Invariant Grounding for Video Question Answering Light Field Neural Rendering Beyond Binary: Improving Signed Message Passing in Graph Neural Networks for Multi-Class Graphs Aligning Text-to-Image Diffusion Models With Constrained Reinforcement Learning Unifying Graph Contrastive Learning via Graph Message Augmentation Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration Efficient Visual Transformer by Learnable Token Merging SPOT: Scalable 3D Pre-Training via Occupancy Prediction for Learning Transferable 3D Representations Spatial-Temporal Graph Mamba for Music-Guided Dance Video Synthesis Protecting Feature Privacy in Person Re-Identification Ins-HOI: Instance Aware Human-Object Interactions Recovery Enhanced Dual-Pattern Matching With Vision-Language Representation for Out-of-Distribution Detection ClusMatch: Improving Deep Clustering by Unified Positive and Negative Pseudo-Label Learning One Neuron Saved is One Neuron Earned: On Parametric Efficiency of Quadratic Networks Monocular-to-3D Virtual Try-On With Generative Semantic Articulated Fields FLAG3D++: A Benchmark for 3D Fitness Activity Comprehension With Language Instruction Another Vertical View: A Hierarchical Network for Heterogeneous Trajectory Prediction via Spectrums Spatial Frequency Modulation for Semantic Segmentation 360VOTS: Visual Object Tracking and Segmentation in Omnidirectional Videos Towards OOD Object Detection With Unknown-Concept Guided Feature Diffusion Scalable Random Feature Latent Variable Models Re-Boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image Restoration An Efficient Image Fusion Network Exploiting Unifying Language and Mask Guidance Accelerating Zero-Shot NAS With Feature Map-Based Proxy and Operation Scoring Function Bringing Equity to Classification: Domain Generalization for Domain-Linked Classes Towards Reliable and Faithful Explanations: A Disentanglement-Augmented Approach for Selective Rationalization Sel4FT: Annotation Selection for Pretraining-Finetuning With Distribution Shift Inv-Adapter: ID Customization Generation via Image Inversion and Lightweight Parameter Adapter EPIC-SOUNDS: A Large-Scale Dataset of Actions That Sound Reconstructing High Quality Raw Video Using Temporal Affinity and Diffusion Prior M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising Multilingual-Prompt-Guided Directional Feature Learning for Weakly Supervised Video Anomaly Detection NUPES: Non-Uniform Post-Training Quantization via Power Exponent Search SEMI-CAVA: A Causal Variational Approach to Semi-Supervised Learning Simple Lifelong Learning Machines Dynamic Inference by Model Reduction Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model Learning Dual-Stream Conditional Concepts in Compositional Zero-Shot Learning Deep Equilibrium Object Detection and Segmentation Selection, Ensemble, and Adaptation: Advancing Multi-Source-Free Domain Adaptation via Architecture Zoo Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Self-Supervised Hypergraph Training Framework via Structure-Aware Learning AFC-RNN: Adaptive Forgetting-Controlled Recurrent Neural Network for Pedestrian Trajectory Prediction Towards Universal Modal Tracking With Online Dense Temporal Token Learning HAC++: Towards 100X Compression of 3D Gaussian Splatting