徐婧林

北京科技大学智能科学与技术学院副教授，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。2023年入选第九届中国科协青年人才托举工程、2022年获中国图象图形学学会优秀博士学位论文奖、2023年获中国自动化学会自然科学奖一等奖（4/5）。主要研究方向为视频动作理解、多模态细粒度分析、三维人体姿态估计与动作生成。已发表/接收20篇 ACM/IEEE Trans.和CCF A类国际期刊和会议论文（一作15篇，通讯2篇）。代表性一作论文包括：CVPR论文5篇（2篇Oral/1篇Spotlight/1篇Highlight）、IJCV论文1篇、IEEE TIP论文3篇、IEEE TKDE论文1篇、AAAI和IJCAI论文5篇。主持国家自然科学基金面上项目、青年基金、中国博士后科学基金面上项目等，已与中国电信、腾讯、蔚来等单位合作，推进科研成果的落地应用。获得2023年度北京图象图形学学会“最美女科技工作者”、2022年西北工业大学优秀博士学位论文、2020年西北工业大学优秀毕业生等荣誉。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、CCF多媒体技术专委会委员、CSIG多媒体专委会委员、CSIG视觉大数据专委会委员、CAA模式识别与机器智能专委会委员、CSIG/BSIG女工委委员。

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

  • 2024-09-03：1篇论文被IEEE TIP 2024接收
  • 2024-07-16：1篇论文被ACM MM 2024接收
  • 2024-06-03：1篇论文被IJCV 2024接收
  • 2024-05-09：1篇论文被IEEE TNNLS 2024接收
  • 2024-04-17：1篇论文被IJCAI 2024接收
  • 2024-03-13：1篇论文被ICME 2024接收
  • 2024-02-27：3篇论文被CVPR 2024接收

    • 项目

  • 国家自然科学基金面上项目，2023，项目负责人
  • 国家自然科学基金青年基金，2021，项目负责人
  • 中国博士后科学基金面上项目，2020，项目负责人
  • 西北工业大学博士论文创新基金，2018，项目负责人
  • 国家自然科学基金面上项目，2019，参与
  • 国家自然科学基金面上项目，2017，参与

    • 奖励与荣誉

  • 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
  • 北京图象图形学学会“最美女科技工作者”，2023
  • 西北工业大学优秀博士学位论文，2022
  • 西北工业大学优秀毕业生, 2020
  • 博士研究生国家奖学金，2017、2018
  • 西北工业大学优秀研究生，2016、2017、2018

    • 代表性论文

    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 (Accepted)

    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 (Accept)
    [Github] [arxiv] [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*
    37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Accept)
    [Github] [arxiv] [bibtex] [中文解读]
    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 (Accept)
    [Github] [arxiv] [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 (Accept)
    [Github] [arxiv] [bibtex] [中文解读]
    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] [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, 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

  • 博士生:
    李雪梨 (2022.09-; 刘红敏教授学生), 刘宏坤 (2021.09-; 刘红敏教授学生)
  • 硕士生:
    周汶昊 (2023.09-), 张雅琦 (2023.09-), 张旭东 (2023.09-)
    马晨阳 (2024.09-), 李言容 (2024.09-), 雷宇隆 (2024.09-)
    蔡越峰 (2021.09-2024.07; 刘红敏教授学生), 张灿彬 (2022.09-; 刘红敏教授学生)