Journal & Article

Artificial Intelligence

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-Time Object Detection Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-Identification CLRNetV2: A Faster and Stronger Lane Detector LoCo: Low-Bit Communication Adaptor for Large-Scale Model Training $S^{2}$S2-Transformer for Mask-Aware Hyperspectral Image Reconstruction Optimization of Rank Losses for Image Retrieval Improving Adversarial Training From the Perspective of Class-Flipping Distribution Equivariant Diffusion Model With A5-Group Neurons for Joint Pose Estimation and Shape Reconstruction S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation Shared Growth of Graph Neural Networks via Prompted Free-Direction Knowledge Distillation Revisiting Gradient-Based Uncertainty for Monocular Depth Estimation Diffusion Model-Based Image Editing: A Survey Wholly-WOOD: Wholly Leveraging Diversified-Quality Labels for Weakly-Supervised Oriented Object Detection Pixel-Inconsistency Modeling for Image Manipulation Localization Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation Learning Without Forgetting for Vision-Language Models A Variational Bayesian Inference Theory of Elasticity and Its Mixed Probabilistic Finite Element Method for Inverse Deformation Solutions in Any Dimension Local Texture Pattern Estimation for Image Detail Super-Resolution Gait Recognition in the Wild: A Large-Scale Benchmark and NAS-Based Baseline Learning to Rebalance Multi-Modal Optimization by Adaptively Masking Subnetworks Correlated Topic Modeling for Short Texts in Spherical Embedding Spaces AUCPro: AUC-Oriented Provable Robustness Learning Heterogeneous Correlation Aware Regularization for Sequential Confidence Calibration Pixel2Pixel: A Pixelwise Approach for Zero-Shot Single Image Denoising Diffusion Models in Low-Level Vision: A Survey The NeRF Signature: Codebook-Aided Watermarking for Neural Radiance Fields Context Perception Parallel Decoder for Scene Text Recognition A Generalized Tensor Formulation for Hyperspectral Image Super-Resolution Under General Spatial Blurring Replay Without Saving: Prototype Derivation and Distribution Rebalance for Class-Incremental Semantic Segmentation Attack as Defense: Proactive Adversarial Multi-Modal Learning to Evade Retrieval MOVE: Effective and Harmless Ownership Verification via Embedded External Features Learning Emotion Category Representation to Detect Emotion Relations Across Languages NER-Net+: Seeing Motion at Nighttime With an Event Camera Learning Probabilistic Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception DFedADMM: Dual Constraint Controlled Model Inconsistency for Decentralize Federated Learning Unified Prompt Attack Against Text-to-Image Generation Models Bayesian Variance Change Point Detection With Credible Sets Towards a Theoretical Understanding of Semi-Supervised Learning Under Class Distribution Mismatch Hessian-Aware Zeroth-Order Optimization CLIP-Driven Transformer for Weakly Supervised Object Localization Gauging-$\delta$δ: A Non-Parametric Hierarchical Clustering Algorithm PhysMLE: Generalizable and Priors-Inclusive Multi-Task Remote Physiological Measurement Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal Systematic Bias of Machine Learning Regression Models and Correction Class-Agnostic Repetitive Action Counting Using Wearable Devices Spatial Residual for Underwater Object Detection On the Upper Bounds of Number of Linear Regions and Generalization Error of Deep Convolutional Neural Networks Graph Foundation Models: Concepts, Opportunities and Challenges