Journal & Article

SCI(E) Journal

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

BimodalPS: Causes and Corrections for Bimodal Multi-Path in Phase-Shifting Structured Light Scanners Unsupervised Domain Adaptation of Object Detectors: A Survey Mutual Voting for Ranking 3D Correspondences DeepSFM: Robust Deep Iterative Refinement for Structure From Motion Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators Better Understanding Differences in Attribution Methods via Systematic Evaluations ASP: Learn a Universal Neural Solver! MotionDiffuse: Text-Driven Human Motion Generation With Diffusion Model MixFormer: End-to-End Tracking With Iterative Mixed Attention Animatable Implicit Neural Representations for Creating Realistic Avatars From Videos A New Sufficient & Necessary Condition for Testing Linear Separability Between Two Sets Query-Oriented Micro-Video Summarization Learning From Human Educational Wisdom: A Student-Centered Knowledge Distillation Method Implicit Regularization of Dropout Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment NaturalSpeech: End-to-End Text-to-Speech Synthesis With Human-Level Quality Federated Gaussian Process: Convergence, Automatic Personalization and Multi-Fidelity Modeling I2C: Invertible Continuous Codec for High-Fidelity Variable-Rate Image Compression Accelerating Globally Optimal Consensus Maximization in Geometric Vision Graph Transformer GANs With Graph Masked Modeling for Architectural Layout Generation BPJDet: Extended Object Representation for Generic Body-Part Joint Detection StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads Incorporating Season and Solar Specificity Into Renderings Made by a NeRF Architecture Using Satellite Images Content-Aware Rectified Activation for Zero-Shot Fine-Grained Image Retrieval Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models BadLabel: A Robust Perspective on Evaluating and Enhancing Label-Noise Learning SMEMO: Social Memory for Trajectory Forecasting PathNet: Path-Selective Point Cloud Denoising Boosting Factorization Machines via Saliency-Guided Mixup Student Loss: Towards the Probability Assumption in Inaccurate Supervision Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers AIfES: A Next-Generation Edge AI Framework Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification On the Robustness of Average Losses for Partial-Label Learning Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis In-Domain GAN Inversion for Faithful Reconstruction and Editability t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-Similarity Semi-Supervised Learning for FGVC With Out-of-Category Data The Impact of Adversarial Attacks on Federated Learning: A Survey Revisiting Person Re-Identification by Camera Selection A Flexible EM-Like Clustering Algorithm for Noisy Data DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions CADC++: Advanced Consensus-Aware Dynamic Convolution for Co-Salient Object Detection Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis Deep$\mathrm {M^{2}}$M2CDL: Deep Multi-Scale Multi-Modal Convolutional Dictionary Learning Network Model-Based Reinforcement Learning With Isolated Imaginations