Journal & Article

SCI(E) Journal

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Unsupervised Degradation Representation Learning for Unpaired Restoration of Images and Point Clouds Adaptive Neural Message Passing for Inductive Learning on Hypergraphs EventHDR: From Event to High-Speed HDR Videos and Beyond PSVMA+: Exploring Multi-Granularity Semantic-Visual Adaption for Generalized Zero-Shot Learning Stabilizing and Accelerating Federated Learning on Heterogeneous Data With Partial Client Participation Weakly Supervised Monocular 3D Object Detection by Spatial-Temporal View Consistency Prototype-Guided Attention Distillation for Discriminative Person Search Efficient Diffusion Model for Image Restoration by Residual Shifting Prompt-and-Transfer: Dynamic Class-Aware Enhancement for Few-Shot Segmentation RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning Optimizing Latent Variables in Integrating Transfer and Query Based Attack Framework T2TD: Text-3D Generation Model Based on Prior Knowledge Guidance Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks Event-Enhanced Snapshot Mosaic Hyperspectral Frame Deblurring Scene-Dependent Prediction in Latent Space for Video Anomaly Detection and Anticipation Developmental Plasticity-Inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks A Versatile Point Cloud Compressor Using Universal Multiscale Conditional Coding – Part II: Attribute A Versatile Point Cloud Compressor Using Universal Multiscale Conditional Coding – Part I: Geometry Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality Imaging Estimating Per-Class Statistics for Label Noise Learning GhostingNet: A Novel Approach for Glass Surface Detection With Ghosting Cues Noise-Robust Vision-Language Pre-Training With Positive-Negative Learning Unveiling the Power of Self-Supervision for Multi-View Multi-Human Association and Tracking Tensor Coupled Learning of Incomplete Longitudinal Features and Labels for Clinical Score Regression Unsupervised Dual Deep Hashing With Semantic-Index and Content-Code for Cross-Modal Retrieval Symbolic Visual Reinforcement Learning: A Scalable Framework With Object-Level Abstraction and Differentiable Expression Search When Meta-Learning Meets Online and Continual Learning: A Survey Medical Federated Model With Mixture of Personalized and Shared Components Revisiting Nonlocal Self-Similarity from Continuous Representation On-the-Fly Modulation for Balanced Multimodal Learning Dynamic Routing and Knowledge Re-Learning for Data-Free Black-Box Attack Generalized Relevance Learning Grassmann Quantization InfoGCN++: Learning Representation by Predicting the Future for Online Skeleton-Based Action Recognition Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation Latent Diffusion Enhanced Rectangle Transformer for Hyperspectral Image Restoration NeuralTPS: Learning Signed Distance Functions Without Priors From Single Sparse Point Clouds NVDS$^{\mathbf{+}}$+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation RGBE-Gaze: A Large-Scale Event-Based Multimodal Dataset for High Frequency Remote Gaze Tracking Understanding Episode Hardness in Few-Shot Learning RGB-T Tracking With Template-Bridged Search Interaction and Target-Preserved Template Updating V2X-ViTv2: Improved Vision Transformers for Vehicle-to-Everything Cooperative Perception Generalized Parametric Contrastive Learning CAP-UDF: Learning Unsigned Distance Functions Progressively From Raw Point Clouds With Consistency-Aware Field Optimization InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding Appearance-Based Gaze Estimation With Deep Learning: A Review and Benchmark Elodi: Ensemble Logit Difference Inhibition for Positive-Congruent Training NeuralRecon: Real-Time Coherent 3D Scene Reconstruction From Monocular Video Hierarchically Recognizing Vector Graphics and A New Chart-Based Vector Graphics Dataset A Multiple Controlled Toffoli Driven Adaptive Quantum Neural Network Model for Dynamic Workload Prediction in Cloud Environments Towards Unified Robustness Against Both Backdoor and Adversarial Attacks