Journal & Article

Artificial Intelligence

I/F
# Journal I/F

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

DFormer++: Improving RGBD Representation Learning for Semantic Segmentation Diffusion Models and Representation Learning: A Survey Hierarchical Information Embeddings With Neural ODEs for Personalized Federated Learning Calibrating Biased Distribution in VFM-Derived Latent Space via Cross-Domain Geometric Consistency CLIP-Actor-X: Text-Driven 4D Human Avatar Generation via Cross-Modal Synthesis-Through-Optimization DrivingGaussian++: Toward Realistic Reconstruction and Editable Simulation for Surrounding Dynamic Driving Scenes Disentangling Consistent and Specific Information for Double Incomplete Multi-View Multi-Label Classification Out-of-Distribution-Resistant Evaluations for Explanations of Graph Neural Networks Reason-Align-Respond: Aligning LLM Reasoning With Knowledge Graphs for KGQA 50 Years of Automated Face Recognition Aligning Few-Step Diffusion Models With Dense Reward Difference Learning Attribution Explanations for Deep Neural Networks: A Theoretical Perspective Deployment Prior Injection for Run-Time Re-Biasable Object Detection Enhancing Multi-View Clustering: A Sufficient Information-Theoretic Approach for Consistency Acquisition and Redundancy Elimination Consistent and Controllable Image Animation With Linear Motion Diffusion Transformers DREAM: A Benchmark Study for Deepfake PhotoRealism AssessMent DOtA++: Unsupervisely and Collaboratively Detect Objects From Multi-Agent Observations With Multi-Modal Prior Constraints AdvDiffusion: Adversarial Patches Generation for Face Recognition With High Transferability in Physical Domain STCF: Multi-View Clustering for Spatial Transcriptomics Based on Cross-View Fusion Soft Label Pruning and Quantization for Large-Scale Dataset Distillation Beyond Heat Dissipation: Optimizing Diffusion Models in Frequency Domain FlowTurbo: Accelerating Flow-Based Image Generation Models via Multi-Stage Refinement Safe Fairness Guarantees Without Demographics in Classification: Spectral Uncertainty Set Perspective Learning Compact Semantic Information and Reliable Pseudo-Labels for Incomplete Multi-View Multi-Label Classification Tail Task Risk Minimization in Meta-Learning From Theoretical Advances to Practical Strategies MC#: Mixture Compressor for Mixture-of-Experts Large Models DNGaussian++: Improving Sparse-View Gaussian Radiance Fields With Depth Normalization Brightness-Aware Synthetic-to-Real Learning for Nighttime Hazy Image Enhancement Codebook Transfer With Vision-to-Language Translation for Vector Quantization Efficient Point Cloud Processing With High-Dimensional Positional Encoding and Non-Local MLPs Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation Penny-Wise and Pound-Foolish in AI-Generated Image Detection Toward a Unified Complementary Fusion Framework for Robust Polarimetric Imaging Alignment-Invertibility Regularization for Explainable Neural Networks FreeSplat++: Generalizable 3D Gaussian Splatting for Efficient Indoor Scene Reconstruction D2S-RSG-SSD: Dual Double-Sampling With Random Sub-Samples Generation for Self-Supervised Real Image Denoising Toward the Spectral Bias Alleviation by Normalizations in Coordinate Networks A Natural Language Guided Approach for Blind Face Restoration: Methodology and Dataset Generalized Distribution Aggregation Protocol for Federated Statistical Heterogeneity Collaborative Feedback Discriminative Propagation for Video Super-Resolution On the Adversarial Transferability of Generalized “Skip Connections” SSD: Making Face Forgery Clues Evident Again With Self-Steganographic Detection Reservoir-Based Graph Convolutional Networks Graph-Embedded Deep Generative Clustering for Single-Cell Multi-Omics Data Integration UDFStudio: A Unified Framework of Datasets, Benchmarks and Generative Models for Unsigned Distance Functions Winsor-CAM: Human-Tunable Visual Explanations From Deep Networks via Layer-Wise Winsorization Velocity Disambiguation for Video Frame Interpolation Spatio-Temporal Decoupled Knowledge Compensator for Few-Shot Action Recognition Local Causal Discovery With Background Knowledge Visual-in-Visual: A Unified and Efficient Baseline for Image Restoration