Journal & Article

Artificial Intelligence

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Variable Imaging Projection Cloud Scattering Tomography MPS-NeRF: Generalizable 3D Human Rendering From Multiview Images Towards Mixed-State Coded Diffraction Imaging PS$^{2}$2 F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing Physics to the Rescue: Deep Non-Line-of-Sight Reconstruction for High-Speed Imaging Wide-Baseline Light Fields Using Ellipsoidal Mirrors BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Revisiting One-Stage Deep Uncalibrated Photometric Stereo via Fourier Embedding Bootstrap Masked Visual Modeling via Hard Patch Mining Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Data Rethinking Efficient and Effective Point-Based Networks for Event Camera Classification and Regression Human-Centric Fine-Grained Action Quality Assessment Continual Unsupervised Generative Modeling Uncertainty-Calibrated Test-Time Model Adaptation Without Forgetting Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation DeferredGS: Decoupled and Relightable Gaussian Splatting With Deferred Shading Revisiting Supervised Learning-Based Photometric Stereo Networks StructVPR++: Distill Structural and Semantic Knowledge With Weighting Samples for Visual Place Recognition Bi-Modality Individual-Aware Prompt Tuning for Visual-Language Model Constraint Boundary Wandering Framework: Enhancing Constrained Optimization With Deep Neural Networks Unknown-Aware Bilateral Dependency Optimization for Defending Against Model Inversion Attacks Interpreting Low-Level Vision Models With Causal Effect Maps Hyperrectangle Embedding for Debiased 3D Scene Graph Prediction From RGB Sequences HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding Stimulative Training++: Go Beyond the Performance Limits of Residual Networks AnyDoor: Zero-Shot Image Customization With Region-to-Region Reference Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection PointNorm-Net: Self-Supervised Normal Prediction of 3D Point Clouds via Multi-Modal Distribution Estimation Hadamard Product in Deep Learning: Introduction, Advances and Challenges PonderV2: Improved 3D Representation With a Universal Pre-Training Paradigm Toward Collaborative Autonomous Driving: Simulation Platform and End-to-End System Diagnostic Captioning by Cooperative Task Interactions and Sample-Graph Consistency End-to-End Open-Vocabulary Video Visual Relationship Detection Using Multi-Modal Prompting Exploring the Essence of Relationships for Scene Graph Generation via Causal Features Enhancement Network DDM: A Metric for Comparing 3D Shapes Using Directional Distance Fields On the Value of Myopic Behavior in Policy Reuse Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning Interactive Conversational Head Generation HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning HOT: An Efficient Halpern Accelerating Algorithm for Optimal Transport Problems Normalized-Full-Palmar-Hand: Toward More Accurate Hand-Based Multimodal Biometrics Unified Domain Adaptive Semantic Segmentation DeepInteraction++: Multi-Modality Interaction for Autonomous Driving Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration Rethinking Evaluation Metrics of Open-Vocabulary Segmentation Prophet: Prompting Large Language Models With Complementary Answer Heuristics for Knowledge-Based Visual Question Answering Monge-Ampere Regularization for Learning Arbitrary Shapes From Point Clouds Diff-Retinex++: Retinex-Driven Reinforced Diffusion Model for Low-Light Image Enhancement Sparse-DeRF: Deblurred Neural Radiance Fields From Sparse View