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. I was selected for the 9th Young Elite Scientists Sponsorship Program by CAST (2023) and won the Excellent Doctoral Dissertation Award of CSIG in 2022 (with only ten winners per year) and the First Prize of Natural Science Award of CAA in 2023 (4/5).

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!

Email  /  Google Scholar  /  GitHub

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News

  • 2024-10-31：1 paper has been accepted to IEEE TIP 2024.
  • 2024-09-03：1 paper has been accepted to IEEE TIP 2024.
  • 2024-07-16：1 paper has been accepted to ACM MM 2024.
  • 2024-06-03：1 paper has been accepted to IJCV 2024.
  • 2024-05-09：1 paper has been accepted to IEEE TNNLS 2024.

    • Honors and Awards

  • 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)
  • 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.

    • Grants

  • National Natural Science Foundation of China (General Program), 2023.
  • National Natural Science Foundation of China (Key Program), 2024, (Participation).
  • Beijing Natural Science Foundation (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.

    • Selected Publications

    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-), Yanrong Li (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.