• 2021 - 2026 硕博连读生 武汉科技大学 计算机科学与技术学院
  • 2017 - 2021 本科生 武汉科技大学 计算机科学与技术学院
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刘威 硕博连读生

个人简介

  • 刘威,男,25岁,在武汉科技大学计算机科学与技术学院攻读博士学位。一直致力于模型泛化以及监控视频智能分析等相关领域的研究。在本领域国际期刊会议ACM MM、AAAI、PR、TOMM等上发表论文十余篇,授权国家发明专利一项,受邀担任ICLR、NeurIPS、ICML、AAAI、ACM MM、CVPR等国际期刊和会议审稿人。参与多项国家自然科学基金项目的撰写和研究。曾获2023年博士国家奖学金等荣誉。参与指导本科生发表学校第一篇CCF-A类论文。

个人主页

主持或参与项目

  • 国家自然科学基金(U1803262)“面向社会安全的视频长程群体行人重识别与多元分析技术”
  • 国家自然科学基金(62376201) “面向长时安防监控的光照自适应行人重识别方法研究”
  • 国家自然科学基金(61602349)“面向夜间视频的视觉显著性模型研究”
  • 内河航运技术湖北省重点实验室开放研究基金项目(NHHY2023004)“面向低可见度的内河航道图像增强与识别方法研究”
  • 智能信息处理与实时工业系统湖北省重点实验室开放基金项目(ZNXX2023QNO3)“面向灵活性行人重识别的评价指标研究”
  • 武汉科技大学研究生创新创业基金重点项目(JCX2023049)“多元感知的泛化行人重识别方法研究”
  • 武汉科技大学研究生创新创业基金重点项目(JCX2020040)“基于视频的无监督行人检索系统”
  • 武汉科技大学研究生创新创业基金重点项目(JCX201923)“基于复杂人体部件的行人检索系统”
  • 国家级大学生创新创业训练计划项目(创新训练,201910488013)“基于SSD的行人重识别方法研究”
  • 学术服务

      会议程序委员会委员/审稿人(PC/reviewer):
  • The Conference on Computer Vision and Pattern Recognition (CVPR-2026)
  • The AAAI Conference on Artificial Intelligence (AAAI-2025/2026)
  • ACM International Conference on Multimedia (ACM MM-2024/2025)
  • The International Conference on Machine Learning (ICML-2024/2025)
  • The International Conference on Learning Representations (ICLR-2024/2025/2026)
  • The Annual Conference on Neural Information Processing Systems (NeurIPS-2023/2024/2025)
    • 期刊审稿人:
  • Journal of Visual Communication and Image Representation (JVCI)
  • PLoS One
  • 奖项荣誉

    论文

    • Hua Chang, Xin Xu, Wei Liu, Wei Wang, Xin Yuan, Kui Jiang, “MambaOVSR: Multiscale Fusion with Global Motion Modeling for Chinese Opera Video Super-Resolution,” The Fortieth AAAI Conference on Artificial Intelligence (AAAI), 2026.
    • Xin Xu, Hao Liu, Wei Liu, Wei Wang, Jiayi Wu, Kui Jiang, “ICLR: Inter-Chrominance and Luminance Interaction for Natural Color Restoration in Low-Light Image Enhancement,” The Fortieth AAAI Conference on Artificial Intelligence (AAAI), 2026.
    • Zhixi Yu, Wei Liu, Wenke Huang, Bin Yang, Qian Bie, Guancheng Wan, Xin Xu, “Domain-Aware Suppression and Aggregation for Federated DG ReID,” The Fortieth AAAI Conference on Artificial Intelligence (AAAI), 2026.
    • Xin Xu, Binchang Ma, Zhixi Yu, Wei Liu, “FedARKS: Federated Aggregation via Robust and Discriminative Knowledge Selection and Integration for Person Re-identification,” The Fortieth AAAI Conference on Artificial Intelligence (AAAI), 2026.
    • Xin Xu, Chaoyue Ren, Wei Liu, Wenke Huang, Bin Yang, Zhixi Yu, Kui Jiang, “Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID,” The 33rd ACM International Conference on Multimedia (ACM MM), 2025. https://dl.acm.org/doi/abs/10.1145/3746027.3755549
    • Anqi Cao, Zhijing Wan, Xiao Wang, Wei Liu, Wei Wang, Zheng Wang, Xin Xu, “Diversity-Representativeness Replay and Knowledge Alignment for Lifelong Vehicle Re-identification,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2025. https://dl.acm.org/doi/abs/10.1145/3702998
    • Wei Liu, Xin Xu, Hua Chang, Xin Yuan, Zheng Wang, “Mix-Modality Person Re-Identification: A New and Practical Paradigm,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2025. https://dl.acm.org/doi/abs/10.1145/3715142
    • Zhongyang Li, Xin Yuan, Wei Liu, Xin Xu, “Vageo: View-specific attention for cross-view object geo-localization,” ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. https://ieeexplore.ieee.org/abstract/document/10888758
    • Renkai Li, Xin Yuan, Wei Liu, Xin Xu, “Event-based video person re-identification via cross-modality and temporal collaboration,” ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. https://ieeexplore.ieee.org/abstract/document/10889628
    • Xingshuo Han, Xiao Wang, Wei Liu, Liping Ye, Xin Xu, “Retrieving and Reasoning: Multivariate Feature and Attribute Cooperation for Video Anomaly Detection,” IEEE Signal Processing Letters (SPL), 2025. https://ieeexplore.ieee.org/abstract/document/10879412
    • Lei Li, Xin Xu, Kui Jiang, Wei Liu, Zheng Wang, “Contour Counts: Restricting Deformation for Accurate Animation Interpolation,” IEEE Signal Processing Letters (SPL), 2024. https://metaersp-2.wust.edu.cn/s/org/doi/G.https/10.1109/LSP.2024.3404138
    • Xingshuo Han, Xiao Wang, Kui Jiang, Wei Liu, Ruimin Hu, Xuefeng Pan, Xin Xu, “Mutuality Attribute Makes Better Video Anomaly Detection,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. https://doi.org/10.1109/ICASSP48485.2024.10448319
    • Hua Chang, Xin Xu, Wei Liu, Lingyi Lu, Weigang Li, “A Comprehensive Survey of Visible Infrared Person Re-identification from an Application Perspective,” Multimedia Tools and Applications (MTA), 2024. https://doi.org/10.1007/s11042-024-19196-7
    • Xin Yuan, Xin Xu, Zheng Wang, Kai Zhang, Wei Liu, Ruimin Hu. “Searching Parameterized Retrieval & Verification Loss for Re-identification,” IEEE Journal of Selected Topics in Signal Processing (J-STSP), 2023.https://doi.org/10.1109/JSTSP.2023.3250989
    • Xin Xu, Wei Liu, Zheng Wang, Ruimin Hu, and Qi Tian, “Towards Generalizable Person Re-identification with a Bi-stream Generative Model,” Pattern Recognition (PR), 2022. https://doi.org/10.1016/j.patcog.2022.108954
    • Wei Liu, Ping, Liang, Lei, Liu, Zhiqiang, Hao, Xin Xu, “Deep Camera-Aware Metric Learning for Person Reidentification,” Wireless Communications and Mobile Computing (WCMC), 2021. https://doi.org/10.1155/2021/8859088
    • 全部论文