Journal & Article

SCI(E) Journal

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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 Graph Denoising With Framelet Regularizers Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities Cross-Modal Hashing Method With Properties of Hamming Space: A New Perspective Perceptual Video Coding for Machines via Satisfied Machine Ratio Modeling Structure-Guided Image Completion With Image-Level and Object-Level Semantic Discriminators A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking Enhancing Video-Language Representations With Structural Spatio-Temporal Alignment Learning Graph Attentions via Replicator Dynamics DeTAL: Open-Vocabulary Temporal Action Localization With Decoupled Networks Secrets of Event-Based Optical Flow, Depth and Ego-Motion Estimation by Contrast Maximization Latency-Aware Unified Dynamic Networks for Efficient Image Recognition Uncertainty-Boosted Robust Video Activity Anticipation A Review of State-of-the-art Mixed-Precision Neural Network Frameworks Novel Uncertainty Quantification Through Perturbation-Assisted Sample Synthesis Machine Learning With Tree Tensor Networks, CP Rank Constraints, and Tensor Dropout Searching to Exploit Memorization Effect in Deep Learning With Noisy Labels Motion-Aware Dynamic Graph Neural Network for Video Compressive Sensing Deterministic Gradient-Descent Learning of Linear Regressions: Adaptive Algorithms, Convergence Analysis and Noise Compensation EBMGC-GNF: Efficient Balanced Multi-View Graph Clustering via Good Neighbor Fusion Integrating Neural-Symbolic Reasoning With Variational Causal Inference Network for Explanatory Visual Question Answering Learning at a Glance: Towards Interpretable Data-Limited Continual Semantic Segmentation via Semantic-Invariance Modelling HOPE: High-Order Polynomial Expansion of Black-Box Neural Networks Graph Regulation Network for Point Cloud Segmentation MGNR: A Multi-Granularity Neighbor Relationship and Its Application in KNN Classification and Clustering Methods Artificial Intelligence and Machine Learning Tools for Improving Early Warning Systems of Volcanic Eruptions: The Case of Stromboli Measurement Guidance in Diffusion Models: Insight from Medical Image Synthesis Evaluation Metrics for Intelligent Generation of Graphical Game Assets: A Systematic Survey-Based Framework RepSGG: Novel Representations of Entities and Relationships for Scene Graph Generation EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training Triplet Adaptation Framework for Robust Semi-Supervised Learning A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges HC$^{2}$2L: Hybrid and Cooperative Contrastive Learning for Cross-Lingual Spoken Language Understanding Self-Supervised 3D Scene Flow Estimation and Motion Prediction Using Local Rigidity Prior Deep Diversity-Enhanced Feature Representation of Hyperspectral Images Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning A Novel Image Formation Model for Descattering Interaction-Based Inductive Bias in Graph Neural Networks: Enhancing Protein-Ligand Binding Affinity Predictions From 3D Structures CrossZoom: Simultaneous Motion Deblurring and Event Super-Resolving Biarchetype Analysis: Simultaneous Learning of Observations and Features Based on Extremes Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling