Journal & Article

Artificial Intelligence

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Toward Better Generalization Bounds of Stochastic Optimization for Nonconvex Learning A Comprehensive Survey on Evidential Deep Learning and its Applications Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models Estimating Fog Parameters From a Sequence of Stereo Images High-Resolution Photo Enhancement in Real-Time: A Laplacian Pyramid Network Improving Model Fusion by Training-Time Neuron Alignment With Fixed Neuron Anchors Uncertainty-Aware Disentangled Dynamic Graph Attention Network for Out-of-Distribution Generalization Improving Embedding of Graphs With Missing Data by Soft Manifolds Graph Quality Matters on Revealing the Semantics Behind the Data in Physical World Causality-Driven Convolutional Manifold Attention Network for Electroencephalogram Signal Decoding NVS-SQA: Exploring Self-Supervised Quality Representation Learning for Neurally Synthesized Scenes Without References PAVM: Progressive and Adaptive Variance Minimization Algorithm for Robust Registration Refine, Control and Distill: A Text-to-Image Framework for Faithful Image Generation Topo4D++: Realistic Physically Based 4D Head Capture With Topology-Preserving Gaussian Splatting and Expression Priors Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging Gaussian Mixture Conditional Variational Recurrent Neural Network for Unified Trajectory Imputation and Prediction UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Data Augmentation With Regularization for Multi-Labeled Complementary Label Learning A Gravity-Informed Spatiotemporal Transformer for Human Activity Intensity Prediction Good Performance Estimation Strategies are All You Need in Neural Architecture Search DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time Bayesian Window Transformer for Image Restoration Neural Eigenfunctions are Structured Representation Learners Joint Short-Term Origin-Destination Demand Prediction for Multimodal Transport Systems A Review of Uncertainty Representation and Quantification in Neural Networks Energy-Based Model for Accurate Estimation of Shapley Values in Feature Attribution Robust Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning SED++: A Simple Encoder-Decoder for Improved Open-Vocabulary Semantic Segmentation Demystifying Higher-Order Graph Neural Networks OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Structural Similarity in Deep Features: Unified Image Quality Assessment Robust to Geometrically Disparate Reference SpeechPalette: A Comprehensive Speech Editing Method for Text-Based Speech Editing, One-Shot TTS and Attributes Editing Sparse Trajectory Prediction MECD+: Unlocking Event-Level Causal Graph Discovery for Video Reasoning Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective Joint Sparse Optical Flow Estimation and Keypoint Detection via Dual-task Imperative Learning HAT: Hybrid Attention Transformer for Image Restoration AdaGen: Learning Adaptive Policy for Image Synthesis Evolving Graph Learning for Out-of-Distribution Generalization in Non-Stationary Environments SelaVPR++: Towards Seamless Adaptation of Foundation Models for Efficient Place Recognition Toward Visual Grounding: A Survey FlexPara: Flexible Neural Surface Parameterization Variational Bayesian Semi-Supervised Keyword Extraction ${\text{CA}^{2}\text{ST}}$: Cross-Attention in Audio, Space, and Time for Holistic Video Recognition UniVST: A Unified Framework for Training-Free Localized Video Style Transfer DifFlow3D: Hierarchical Diffusion Models for Uncertainty-Aware 3D Scene Flow Estimation Condition Numbers in Multiview Geometry, Instability in Relative Pose Estimation, and RANSAC Large-Scale Omnidirectional Person Positioning SPAN: Learning Similarity Between Scene Graphs and Images With Transformers A Visual Benchmark for Autonomous Driving in Open-Pit Mines