Lei Wang

Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint) AAAI 2026 FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA AAAI 2026 Learning Time in Static Classifiers AAAI 2026 ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation AAAI 2026 SAT-RRG: LLM-Guided Self-Adaptive Training for Radiology Report Generation with Token-Level Push-Pull Optimization CVPR 2026 Understanding and Enforcing Weight Disentanglement in Task Arithmetic CVPR 2026 Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning AAAI 2025 ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering EMNLP 2025 Dynamic Multi-Layer Null Space Projection for Vision-Language Continual Learning ICCV 2025 Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration CVPR 2025 Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion ICLR 2025 LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement ICCV 2025 TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question Answering EMNLP 2025 Adaptive Multi-head Contrastive Learning ECCV 2024 Advancing Video Anomaly Detection: A Concise Review and a New Dataset NeurIPS 2024 Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other NAACL 2024 Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation CVPR 2024 KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models MICCAI 2024 MRScore: Evaluating Medical Report with LLM-based Reward System MICCAI 2024 Motion meets Attention: Video Motion Prompts ACML 2024 Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning AAAI 2024 Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains NeurIPS 2024 Taylor Videos for Action Recognition ICML 2024 3Mformer: Multi-Order Multi-Mode Transformer for Skeletal Action Recognition CVPR 2023 Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning ICCV 2023 Learning Partial Correlation Based Deep Visual Representation for Image Classification CVPR 2023 Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval ICCV 2023 METransformer: Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens CVPR 2023 Reject Decoding via Language-Vision Models for Text-to-Image Synthesis AAAI 2023 Towards Semi-supervised Learning with Non-random Missing Labels ICCV 2023 DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning CVPR 2022 Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class NeurIPS 2022 Kernelized Few-Shot Object Detection With Efficient Integral Aggregation CVPR 2022 LaSSL: Label-Guided Self-Training for Semi-supervised Learning AAAI 2022 RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning ECCV 2022 Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection ECCV 2022 Uncertainty-DTW for Time Series and Sequences ECCV 2022 A Self-Boosting Framework for Automated Radiographic Report Generation CVPR 2021 BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification ICCV 2021 LoFGAN: Fusing Local Representations for Few-Shot Image Generation ICCV 2021 Asymmetric Distribution Measure for Few-shot Learning IJCAI 2020 Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation AAAI 2020 ReDro: Efficiently Learning Large-sized SPD Visual Representation ECCV 2020 RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge CVPR 2020 A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification ICCV 2019 Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning ICCV 2019 Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning AAAI 2019 Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs ICCV 2019 Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images ICCV 2019 Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019 DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition ECCV 2018 Revisiting Metric Learning for SPD Matrix Based Visual Representation CVPR 2017 Multiple Kernel Clustering with Local Kernel Alignment Maximization IJCAI 2016 Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices ICCV 2015 Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification CVPR 2014 Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors NeurIPS 2014 A Fast Approximate AIB Algorithm for Distributional Word Clustering CVPR 2013 A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data ICCV 2013 Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network CVPR 2013 Improving Graph Matching via Density Maximization ICCV 2013 Positive Semidefinite Metric Learning Using Boosting-like Algorithms JMLR 2012 Positive Semidefinite Metric Learning with Boosting NeurIPS 2009 PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NeurIPS 2008