Zhou, Luping

36 publications

CVPR 2025 DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels Erjian Guo, Zhen Zhao, Zicheng Wang, Tong Chen, Yunyi Liu, Luping Zhou

ECML-PKDD 2025 Enriching Category Representations with LLMs Towards Robust Zero-Shot OOD Detection Dian Chao, Yuxuan Zhang, Luping Zhou, Yang Yang

ICCV 2025 InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis Tao Han, Wanghan Xu, Junchao Gong, Xiaoyu Yue, Song Guo, Luping Zhou, Lei Bai

AAAI 2025 TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances Wenting Xu, Viorela Ila, Luping Zhou, Craig T. Jin

TMLR 2025 TempFlex: Advancing MLLMs with Temporal Perception and Natively Scalable Resolution Encoding Zhanyu Wang, Chen Tang, Haoyu He, Kuan Feng, Chao Wang, Bingni Zhang, Xiaolei Xu, Shen Wang, Luping Zhou

NeurIPS 2025 Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation Xiaoyu Yue, ZiDong Wang, Yuqing Wang, Wenlong Zhang, Xihui Liu, Wanli Ouyang, Lei Bai, Luping Zhou

ECCV 2024 Alternate Diverse Teaching for Semi-Supervised Medical Image Segmentation Zhen Zhao, Zicheng Wang, Dian Yu, Longyue Wang, Yixuan Yuan, Luping Zhou

AAAI 2024 Noise-Aware Image Captioning with Progressively Exploring Mismatched Words Zhongtian Fu, Kefei Song, Luping Zhou, Yang Yang

ECCV 2024 Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds Zicheng Wang, Zhen Zhao, Yiming Wu, Luping Zhou, Dong Xu

AAAI 2024 Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-Supervised Fine-Grained Learning Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

AAAI 2024 UFDA: Universal Federated Domain Adaptation with Practical Assumptions Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Gairui Bai, Yihan Zhao, Jizhong Zhao

CVPR 2023 Augmentation Matters: A Simple-yet-Effective Approach to Semi-Supervised Semantic Segmentation Zhen Zhao, Lihe Yang, Sifan Long, Jimin Pi, Luping Zhou, Jingdong Wang

CVPR 2023 Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation Zicheng Wang, Zhen Zhao, Xiaoxia Xing, Dong Xu, Xiangyu Kong, Luping Zhou

ICCV 2023 Enhancing Sample Utilization Through Sample Adaptive Augmentation in Semi-Supervised Learning Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

CVPR 2023 Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation Zhen Zhao, Sifan Long, Jimin Pi, Jingdong Wang, Luping Zhou

CVPR 2023 Learning Partial Correlation Based Deep Visual Representation for Image Classification Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun

ICCV 2023 Learning Spatial-Context-Aware Global Visual Feature Representation for Instance Image Retrieval Zhongyan Zhang, Lei Wang, Luping Zhou, Piotr Koniusz

CVPR 2023 METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou

CVPR 2023 Neural Vector Fields: Implicit Representation by Explicit Learning Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou

ICCV 2023 Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models Sifan Long, Zhen Zhao, Junkun Yuan, Zichang Tan, Jiangjiang Liu, Luping Zhou, Shengsheng Wang, Jingdong Wang

ICCV 2023 Towards Semi-Supervised Learning with Non-Random Missing Labels Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

CVPR 2022 DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, Yinghuan Shi

NeurIPS 2022 Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

AAAI 2022 LaSSL: Label-Guided Self-Training for Semi-Supervised Learning Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao

ECCV 2022 RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi

CVPR 2021 A Self-Boosting Framework for Automated Radiographic Report Generation Zhanyu Wang, Luping Zhou, Lei Wang, Xiu Li

NeurIPS 2020 Improving Auto-Augment via Augmentation-Wise Weight Sharing Keyu Tian, Chen Lin, Ming Sun, Luping Zhou, Junjie Yan, Wanli Ouyang

ECCV 2020 ReDro: Efficiently Learning Large-Sized SPD Visual Representation Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou

ECCV 2018 DeepKSPD: Learning Kernel-Matrix-Based SPD Representation for Fine-Grained Image Recognition Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu

CVPR 2017 Revisiting Metric Learning for SPD Matrix Based Visual Representation Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao

ICCV 2015 Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices Lei Wang, Jianjia Zhang, Luping Zhou, Chang Tang, Wanqing Li

CVPR 2014 Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification Luping Zhou, Lei Wang, Philip Ogunbona

CVPR 2013 A Fast Approximate AIB Algorithm for Distributional Word Clustering Lei Wang, Jianjia Zhang, Luping Zhou, Wanqing Li

CVPR 2013 Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen

CVPR 2011 Hierarchical Anatomical Brain Networks for MCI Prediction by Partial Least Square Analysis Luping Zhou, Yaping Wang, Yang Li, Pew-Thian Yap, Dinggang Shen

ECCV 2008 A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook Lei Wang, Luping Zhou, Chunhua Shen