Journal & Article

Artificial Intelligence

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

DXA-Net: Dual-Task Cross-Lingual Alignment Network for Zero-Shot Cross-Lingual Spoken Language Understanding I&S-ViT: An Inclusive & Stable Method for Post-Training ViTs Quantization Single Voter Spreading for Efficient Correspondence Grouping and 3D Registration Step-Wise Distribution-Aligned Style Prompt Tuning for Source-Free Cross-Domain Few-Shot Learning Toward Size-Invariant Salient Object Detection: A Generic Evaluation Sample-Level Prototypical Federated Learning Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models Adaptive Batch Size Time Evolving Stochastic Gradient Descent for Federated Learning Lagrangian Motion Fields for Long-Term Motion Generation Semantic Concentration for Self-Supervised Dense Representations Learning BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning StyleShot: A Snapshot on Any Style Revisiting Deformable Convolution on Graphs: Large-Range Modeling and Robustness TransFace++: Rethinking the Face Recognition Paradigm With a Focus on Accuracy, Efficiency, and Security PRVR: Partially Relevant Video Retrieval An Enhanced Adaptive Confidence Margin for Semi-Supervised Facial Expression Recognition LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving Zero-Shot Learning for Limited Photon Budget Denoising in Structured Illumination Microscopy Learning Knowledge-Based Prompts for Robust 3D Mask Presentation Attack Detection IPF-RDA: An Information-Preserving Framework for Robust Data Augmentation Learning Efficient Meshflow and Optical Flow From Event Cameras CAIT: Triple-Win Compression Toward High Accuracy, Fast Inference, and Favorable Transferability for ViTs M3C: Resist Agnostic Attacks by Mitigating Consistent Class Confusion Prior $\beta $-DARTS++: Bi-Level Regularization for Proxy-Robust Differentiable Architecture Search Schedule-Robust Continual Learning To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion CDTFusion: Crossing Domain and Task for Infrared and Visible Image Fusion Toward Free-Form Local Feature Matching Data-Dependent Rectangular Bounding Processes Clustering Diffusion Model With Frequency-Signal Modulation for Variational Graph Autoencoders A Survey on Video Temporal Grounding With Multimodal Large Language Model Model-Free Test Time Adaptation for Out-of-Distribution Detection UniSOT: A Unified Framework for Multi-Modality Single Object Tracking Specific Emitter Identification by Edge Pattern Detection and Incremental Open-World Learning EvLight++: Low-Light Video Enhancement With an Event Camera: A Large-Scale Real-World Dataset, Novel Method, and More Multi-Matrix Completion: A Novel Framework for Structurally Missing Elements Unified Cross-Modal Medical Image Synthesis With Hierarchical Mixture of Product-of-Experts Learning Roles With Emergent Social Value Orientations Wonder3D++: Cross-Domain Diffusion for High-Fidelity 3D Generation From a Single Image PiercingEye: Dual-Space Video Violence Detection With Hyperbolic Vision-Language Guidance Deeper Insights Into Deep Graph Convolutional Networks: Stability and Generalization ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification DTL: Parameter- and Memory-Efficient Disentangled Vision Learning Layer-Adaptive-Augmentation-Based Graph Contrastive Learning With Feature Decorrelation Explicit Visual Prompting for Universal Foreground Segmentations SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation Neural Prediction Errors as a Unified Cue for Abstract Visual Reasoning Release the Potential of Memory Buffer in Continual Learning: A Dynamic System Perspective Fixing Background Misclassification in Few-Shot Object Detection via Product of Experts Orthogonal Decoupling Contrastive Regularization: Toward Uncorrelated Feature Decoupling for Unpaired Image Restoration