徐婧林

北京科技大学智能科学与技术学院副教授，国家自然科学基金青年科学基金B类（原优青）获得者，北京图象图形学学会理事、副秘书长，中国图象图形学学会青托俱乐部副主席。主要研究方向为计算机视觉、视频理解、细粒度运动分析，已发表TPAMI、IJCV、CVPR等ACM/IEEE Trans.和CCF A类论文30余篇。主持国家自然科学基金面上、青年基金、北京市自然科学基金面上、中国博士后科学基金面上等项目；主持腾讯犀牛鸟专项研究计划；作为合作单位负责人参与国家自然科学基金重点（序2）、北京市自然科学基金联合基金重点（序2）等项目，已与中国电信、腾讯等单位合作，推进科研成果的落地应用。入选中国科协青年人才托举工程，获中国图象图形学学会石青云女科学家奖、优秀博士学位论文奖，获中国自动化学会自然科学奖一等奖（4/5）、中国图象图形学学会自然科学奖二等奖（3/5）等荣誉。担任《Chinese Journal of Electronics》（电子学报英文刊）青年编委、《电子与信息学报》编委、IJCAI/AAAI程序委员会委员等。

常年招收博士后、博士、硕士和科研实习生！（联系方式：xujinglin@ustb.edu.cn）

谷歌学术  /  GitHub

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News

  • 2025-10-09：1篇论文被CJE 2025接收
  • 2025-07-10：1篇论文被IEEE TCSVT 2025接收
  • 2025-03-28：1篇论文被IEEE TPAMI 2025接收
  • 2025-03-01：1篇论文被IEEE TCSVT 2025接收
  • 2025-02-27：1篇论文被CVPR 2025接收
  • 2025-01-25：1篇论文被TPAMI 2025接收
  • 2025-01-23：2篇论文被ICLR 2025接收

    • 项目

  • 国家自然科学基金青年科学基金B类（原优青），2025，项目负责人
  • 北京市自然科学基金面上项目，2025，项目负责人
  • 国家自然科学基金面上项目，2023，项目负责人
  • 国家自然科学基金重点项目，2024，合作单位负责人
  • 北京市自然科学基金重点项目，2024，合作单位负责人
  • 国家自然科学基金青年基金，2021，项目负责人

    • 奖励与荣誉

  • 中国图象图形学学会石青云女科学家奖，2024
  • 第九届中国科协青年人才托举工程，2023
  • 中国图象图形学学会优秀博士学位论文奖，2022
  • 中国自动化学会自然科学奖一等奖，2023，排第四
  • 中国图象图形学学会自然科学奖二等奖，2024，排第三

    • 代表性论文

    dise Human-centric Fine-grained Action Quality Assessment
    Jinglin Xu, Sibo Yin, Yuxin Peng*
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
    [Paper]
    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
    [Paper] [Github]
    dise PoseTrack: Enhancing Multi-Object Tracking with 3D Pose-Visual Fusion and Adaptive Trajectory Management
    Jinglin Xu, Xudong Zhang, Ziyi Liu, Hongmin Liu*
    Chinese Journal of Electronics (CJE), 2025. (Accepted)

    dise TSPO: Temporal Sampling Policy Optimization for Long-form Video Language Understanding
    Canhui Tang, Zifan Han, Hongbo Sun, Sanping Zhou, Xuchong Zhang, Xin Wei, Ye Yuan, Jinglin Xu, Hao Sun
    arXiv preprint arXiv:2508.04369
    [Paper] [Github]
    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
    [Paper] [Github]
    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
    [Paper] [Github] [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 BFSTAL: Bidirectional Feature Splitting with Cross-Layer Fusion for Temporal Action Localization
    Jinglin Xu, Yaqi Zhang, Wenhao Zhou, Hongmin Liu*
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025
    [Paper]
    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]
    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
    [Paper] [Github]
    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
    [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 FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning
    Hongbo Sun, Jiahuan Zhou, Xiangteng He, Jinglin Xu, Yuxin Peng*
    33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024
    [Paper] [Github]
    dise FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models
    Jinglin Xu, Yijie Guo, Yuxin Peng*
    37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    [Paper] [Github]
    dise FineSports: A Multi-person Hierarchical Sports Video Dataset for Fine-grained Action Understanding
    Jinglin Xu, Guohao Zhao, Sibo Yin, Wenhao Zhou, Yuxin Peng*
    37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    [Paper] [Github]
    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*
    37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    [Paper] [Github]
    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 Presentation
    [项目主页] [Paper] [Github] [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, 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*, 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, 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, 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, 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 Presentation
    [Paper] [bibtex]
    学术服务

  • 担任《Chinese Journal of Electronics》青年编委、《电子与信息学报》编委、《计算机科学》青年编委、《人工智能》编委
  • IJCAI、AAAI程序委员会委员
  • 国际顶级期刊和会议（IEEE TPAMI、TIP、TCSVT、TMM、CVPR等）审稿人

    • 指导学生

  • 硕士生:
    周汶昊 (2023.09-), 张雅琦 (2023.09-), 张旭东 (2023.09-)
    马晨阳 (2024.09-), 雷宇隆 (2024.09-)
    母星宏 (2025.09-), 李京选 (2025.09-), 王加博 (2025.09-)
    蔡越峰 (2021.09-2024.07; 刘红敏教授学生), 张灿彬 (2022.09-2025.07; 刘红敏教授学生)
  • 博士生:
    李雪梨 (2022.09-2024.07; 刘红敏教授学生), 刘宏坤 (2023.05-2024.07; 刘红敏教授学生)