Jinglin Xu

I am now an Associate Professor in the School of Intelligence Science and Technology at the University of Science and Technology Beijing (USTB), a council member, and deputy secretary-general of the Beijing Society of Image and Graphics (BSIG). Before joining USTB, I was a Postdoctoral Fellow in the Department of Automation at Tsinghua University. I received my Ph.D. degree at Northwestern Polytechnical University. My research interests lie in video action understanding, multimodal fine-grained analysis and generation, and 3D human pose estimation.

We actively recruit Post-doc Fellows, Ph.D./Master students, and Research Interns! Welcome to contact me with your detailed CV!

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News

  • 2025-03-28：1 paper has been accepted to TPAMI 2025.
  • 2025-03-01：1 paper has been accepted to TCSVT 2025.
  • 2025-02-27：1 paper has been accepted to CVPR 2025.
  • 2025-01-25：1 paper has been accepted to TPAMI 2025.
  • 2025-01-23：2 paper has been accepted to ICLR 2025.
  • 2024-10-31：1 paper has been accepted to IEEE TIP 2024.
  • 2024-09-03：1 paper has been accepted to IEEE TIP 2024.

    • Grants

  • Natural Science Foundation of Beijing (General Program), 2025.
  • National Natural Science Foundation of China (General Program), 2023.
  • National Natural Science Foundation of China (Key Program), 2024, (Participation).
  • Natural Science Foundation of Beijing (Key Program), 2024, (Participation).
  • National Natural Science Foundation of China (Youth Science Foundation), 2021.
  • China Postdoctoral Science Foundation, 2020.
  • Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University, 2018.

    • Honors and Awards

  • China Society of Image and Graphics Shi QingYun Female Scientist Award, 2024
  • The 9th Young Elite Scientists Sponsorship Program by CAST, 2023
  • Excellent Doctoral Dissertation Award of CSIG, 2022.
  • The First Prize of Natural Science Award of CAA, 2023, (4/5)
  • The Second Prize of Natural Science Award of CSIG, 2024, (3/5)
  • Excellent Doctoral Dissertation of Northwestern Polytechnical University, 2022.
  • Excellent Graduate of Northwestern Polytechnical University, 2020.
  • National Scholarship, Ministry of Education of P.R. China, 2017, 2018.
  • Outstanding Graduate Student of Northwestern Polytechnical University, 2016, 2017, 2018.

    • Selected Publications

    dise Human-centric Fine-grained Action Quality Assessment
    Jinglin Xu, Sibo Yin, Yuxin Peng*
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025

    dise Transferable Unintentional Action Localization with Language-guided Intention Translation
    Jinglin Xu, Yongming Rao, Jie Zhou, Jiwen Lu*
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
    [Github] [Paper]
    dise DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding
    Geng Li, Jinglin Xu, Yunzhen Zhao, Yuxin Peng*
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

    dise Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models
    Hulingxiao He, Geng Li, Zijun Geng, Jinglin Xu, Yuxin Peng*
    International Conference on Learning Representations (ICLR), 2025
    [Github] [Paper] [中文解读]
    dise MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval
    Yanzhe Chen, Zhiwen Yang, Jinglin Xu, Yuxin Peng*
    International Conference on Learning Representations (ICLR), 2025
    [Paper] [中文解读]
    dise BRTAL: Boundary Refinement Temporal Action Localization via Offset-Driven Diffusion Models
    Hongmin Liu, Xueli Li, Bin Fan, Jinglin Xu*
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025
    [Paper] [bibtex]
    dise Pro2Diff: Proposal Propagation for Multi-Object Tracking via Diffusion Models
    Hongmin Liu, Canbin Zhang, Bin Fan, Jinglin Xu*
    IEEE Transactions on Image Processing (TIP), 2024
    [Paper] [bibtex]
    dise SIM-OFE: Structure Information Mining and Object-aware Feature Enhancement for Fine-Grained Visual Categorization
    Hongbo Sun, Xiangteng He, Jinglin Xu, Yuxin Peng*
    IEEE Transactions on Image Processing (TIP), 2024
    [Paper] [中文解读]
    dise SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection
    Zishuo Wang, Wenhao Zhou, Jinglin Xu, Yuxin Peng*
    ACM International Conference on Multimedia (ACM MM), 2024
    [Github] [Paper] [中文解读]
    dise Procedure-aware Action Quality Assessment: Datasets and Performance Evaluation
    Jinglin Xu, Yongming Rao, Jie Zhou, Jiwen Lu*
    International Journal of Computer Vision (IJCV), 2024
    [Github] [Paper]
    dise FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning
    Hongbo Sun, Jiahuan Zhou, Xiangteng He, Jinglin Xu, Yuxin Peng*
    International Joint Conference on Artificial Intelligence (IJCAI), 2024
    [Github] [Paper]
    dise ScalableTrack: Scalable One-stream Tracking via Stage-continual Learning
    Hongmin Liu, Yuefeng Cai, Bin Fan, Jinglin Xu*
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
    [Paper]
    dise FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment
    Jinglin Xu, Sibo Yin, Guohao Zhao, Zishuo Wang, Yuxin Peng*
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    Oral (3.3%)
    [Project Page] [Github] [Paper] [bibtex] [中文解读]
    dise FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models
    Jinglin Xu, Yijie Guo, Yuxin Peng*
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    Highlight (11.9%)
    [Project Page] [Github] [Paper] [bibtex] [中文解读]
    dise FineSports: A Multi-person Hierarchical Sports Video Dataset for Fine-grained Action Understanding
    Jinglin Xu, Guohao Zhao, Sibo Yin, Wenhao Zhou, Yuxin Peng*
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    [Github] [Paper] [bibtex] [中文解读]
    dise FE-VAD: High-Low Frequency Enhanced Weakly Supervised Video Anomaly Detection
    Ruoyan Pi, Jinglin Xu, Yuxin Peng*
    IEEE International Conference on Multimedia and Expo (ICME), 2024
    [Paper] [bibtex]
    dise FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment
    Jinglin Xu#, Yongming Rao#, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu*
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    Oral (4.2%)
    [Project Page] [Github] [arxiv] [bibtex] [中文解读]
    dise Unintentional Action Localization via Counterfactual Examples
    Jinglin Xu#, Guangyi Chen#, Jiwen Lu*, Jie Zhou
    IEEE Transactions on Image Processing (TIP), 2022
    [Paper] [bibtex]
    dise Probabilistic Temporal Modeling for Unintentional Action Localization
    Jinglin Xu#, Guangyi Chen#, Nuoxing Zhou, Wei-Shi Zheng, Jiwen Lu*
    IEEE Transactions on Image Processing (TIP), 2022
    [Paper] [bibtex]
    dise Multi-view K-Means Clustering with Adaptive Sparse Memberships and Weight Allocation
    Junwei Han, Jinglin Xu*, Feiping Nie, Xuelong Li
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
    [Paper] [Github] [bibtex]
    dise Joint multi-view 2D convolutional neural networks for 3D object classification
    Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han
    International Joint Conference on Artificial Intelligence (IJCAI), 2020
    [Paper] [bibtex]
    dise Deep Embedded Complementary and Interactive Information for Multi-View Classification
    Jinglin Xu#, Wenbin Li#, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han
    AAAI Conference on Artificial Intelligence (AAAI), 2020
    [Paper] [Github] [bibtex]
    dise Multi-view Scaling Support Vector Machines for Classification and Feature Selection
    Jinglin Xu, Junwei Han, Feiping Nie, Xuelong Li
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
    [Paper] [bibtex]
    dise Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
    Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
    [Paper] [Github] [bibtex]
    dise Distribution consistency based covariance metric networks for few-shot learning
    Wenbin Li#, Jinglin Xu#, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo
    AAAI Conference on Artificial Intelligence (AAAI), 2019
    [Paper] [Github] [bibtex]
    dise Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines
    Jinglin Xu, Feiping Nie, Junwei Han
    International Joint Conference on Artificial Intelligence (IJCAI), 2017
    [Paper] [bibtex]
    dise Multi-view Feature Learning with Discriminative Regularization
    Jinglin Xu, Junwei Han, Feiping Nie
    International Joint Conference on Artificial Intelligence (IJCAI), 2017
    [Paper] [bibtex]
    dise Re-Weighted Discriminatively Embedded K-Means for Multi-View Clustering
    Jinglin Xu, Junwei Han*, Feiping Nie, Xuelong Li
    IEEE Transactions on Image Processing (TIP), 2017
    [Paper] [bibtex]
    dise Robust and sparse fuzzy k-means clustering
    Jinglin Xu, Junwei Han, Kai Xiong, Feiping Nie
    International Joint Conference on Artificial Intelligence (IJCAI), 2016
    [Paper] [bibtex]
    dise Discriminatively embedded k-means for multi-view clustering
    Jinglin Xu, Junwei Han, Feiping Nie
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2016
    Spotlight (9.7%)
    [Paper] [bibtex]
    Guide Students

  • Ph.D. Candidate:
    Xueli Li (2022-; with Prof. Hongmin Liu), Hongkun Liu (2021-; with Prof. Hongmin Liu)
  • Master Candidate:
    Wenhao Zhou (2023.09-), Yaqi Zhang (2023.09-), Xudong Zhang (2023.09-)
    Chenyang Ma (2024.09-), Yulong Lei (2024.09-)
    Canbin Zhang (2022.09; with Prof. Hongmin Liu), Yuefeng Cai (2021-2024; with Prof. Hongmin Liu)

    • Professional Activities

  • Editorial Board Member: Chinese Journal of Engineering (Youth), Journal of Electronics and Information Technology, Computer Science (Youth), Artificial Intelligence
  • Program Committee Member: IJCAI, AAAI.
  • Conference Reviewer: CVPR, ICCV, IJCAI, AAAI, ICME and so on.
  • Journal Reviewer: TPAMI, TIP, TMM, TCSVT, TCDS and so on.