Journal & Article

Artificial Intelligence

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Foundation Models Defining a New Era in Vision: A Survey and Outlook A Unified Framework for Event-Based Frame Interpolation With Ad-Hoc Deblurring in the Wild Self-Supervised High-Order Information Bottleneck Learning of Spiking Neural Network for Robust Event-Based Optical Flow Estimation Glissando-Net: Deep Single View Category Level Pose Estimation and 3D Reconstruction Multi-Objective Convex Quantization for Efficient Model Compression Efficient Signed Graph Sampling via Balancing & Gershgorin Disc Perfect Alignment Infrared and Visible Image Fusion: From Data Compatibility to Task Adaption Cross-Modal 3D Shape Retrieval via Heterogeneous Dynamic Graph Representation Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation Filter Pruning by High-Order Spectral Clustering Demystify Transformers & Convolutions in Modern Image Deep Networks STDatav2: Accessing Efficient Black-Box Stealing for Adversarial Attacks Federated Multi-View K-Means Clustering Practically Unbiased Pairwise Loss for Recommendation With Implicit Feedback JM3D & JM3D-LLM: Elevating 3D Representation With Joint Multi-Modal Cues Quantum Gated Recurrent Neural Networks RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-Distribution Detection Explicit View-Labels Matter: A Multifacet Complementarity Study of Multi-View Clustering Towards High-Quality and Disentangled Face Editing in a 3D GAN Interpretable Optimization-Inspired Unfolding Network for Low-Light Image Enhancement Training Networks in Null Space of Feature Covariance With Self-Supervision for Incremental Learning Enhancing Object Detection With Fourier Series Hybrid-Prediction Integrated Planning for Autonomous Driving DHVT: Dynamic Hybrid Vision Transformer for Small Dataset Recognition DeepSN-Net: Deep Semi-Smooth Newton Driven Network for Blind Image Restoration TDGI: Translation-Guided Double-Graph Inference for Document-Level Relation Extraction Anchors Crash Tensor: Efficient and Scalable Tensorial Multi-View Subspace Clustering Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction Robust Asymmetric Heterogeneous Federated Learning With Corrupted Clients Heterogeneous Feature Re-Sampling for Balanced Pedestrian Attribute Recognition Instruction-Guided Scene Text Recognition Auto-Pairing Positives Through Implicit Relation Circulation for Discriminative Self-Learning HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-Body Mesh Recovery Non-Uniform Exposure Imaging via Neuromorphic Shutter Control Generalized Task-Driven Medical Image Quality Enhancement With Gradient Promotion Image Quality Assessment: Exploring Joint Degradation Effect of Deep Network Features via Kernel Representation Similarity Analysis Latent Weight Quantization for Integerized Training of Deep Neural Networks Conditional Diffusion Models for Camouflaged and Salient Object Detection Distributionally Location-Aware Transferable Adversarial Patches for Facial Images One-for-All: Towards Universal Domain Translation With a Single StyleGAN Clarify Confused Nodes via Separated Learning Learning the Optimal Discriminant SVM With Feature Extraction Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding Few-Shot Class-Incremental Learning for Classification and Object Detection: A Survey Torsion Graph Neural Networks VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-Domain Generalization Scaling Spike-Driven Transformer With Efficient Spike Firing Approximation Training On Testing and Learning Quantum Junta Channels Towards Robust Point Cloud Recognition With Sample-Adaptive Auto-Augmentation DiffTF++: 3D-Aware Diffusion Transformer for Large-Vocabulary 3D Generation