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

  • 2024-04-17：1 paper has been accepted to IJCAI 2024.
  • 2024-03-13：1 paper has been accepted to ICME 2024.
  • 2024-02-27：3 paper has been accepted to CVPR 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 (Youth Science Foundation), 2021.
  • China Postdoctoral Science Foundation, 2020.
  • Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University, 2018.

    • Selected Publications

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    dise FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models
    Jinglin Xu, et al.
    37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Accept)
    dise FineSports: A Multi-person Hierarchical Sports Video Dataset for Fine-grained Action Understanding
    Jinglin Xu, et al.
    37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Accept)
    dise FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment
    Jinglin Xu, et al.
    37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Accept)
    dise FE-VAD: High-Low Frequency Enhanced Weakly Supervised Video Anomaly Detection
    Ruoyan Pi, Jinglin Xu, et al.
    IEEE International Conference on Multimedia and Expo (ICME), 2024 (Accept)
    dise FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment
    Jinglin Xu*, Yongming Rao*, Xumin Yu, Guangyi Chen, Jie Zhou, and Jiwen Lu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    Oral Presentation
    [Project Page] [Github] [arxiv] [bibtex] [中文解读]
    dise Unintentional Action Localization via Counterfactual Examples
    Jinglin Xu*, Guangyi Chen*, Jiwen Lu, and Jie Zhou
    IEEE Transactions on Image Processing (TIP), 2022, DOI: 10.1109/TIP.2022.3166278
    [Paper] [bibtex]
    dise Probabilistic Temporal Modeling for Unintentional Action Localization
    Jinglin Xu*, Guangyi Chen*, Nuoxing Zhou, Wei-Shi Zheng, and Jiwen Lu
    IEEE Transactions on Image Processing (TIP), 2022, DOI: 10.1109/TIP.2022.3163544
    [Paper] [bibtex]
    dise Multi-view K-Means Clustering with Adaptive Sparse Memberships and Weight Allocation
    Junwei Han, Jinglin Xu (corresponding author), Feiping Nie, and 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, and 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, and 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, and 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, and 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, and 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, and Junwei Han
    International Joint Conference on Artificial Intelligence (IJCAI), 2017
    [Paper] [bibtex]
    dise Multi-view Feature Learning with Discriminative Regularization
    Jinglin Xu, Junwei Han, and 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, and 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, and 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, and Feiping Nie
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2016
    Spotlight Presentation
    [Paper] [bibtex]
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    Guide Students

  • Ph.D. Candidate:
    Xueli Li (2022-; with Prof. Hongmin Liu)
  • Master Candidate:
    Yuefeng Cai (2021-; with Prof. Hongmin Liu), Canbin Zhang (2022-; with Prof. Hongmin Liu)
    Wenhao Zhou (2023.09-), Yaqi Zhang (2023.09-), Xudong Zhang (2023.09-), Yanrong Li (2024.09-)
  • Undergraduate Students:
    Jueyu Qi (2023.4-2023.8), Liwei Zheng (2023.4-2023.7)

    • Professional Activities

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