Jinglin Xu
Jinglin Xu is now an Associate Professor at the School of Intelligence Science and Technology, University of Science and Technology Beijing. She received the National Natural Science Foundation of China (NSFC) Young Scientists Fund (Category B, formerly the Excellent Young Scientists Fund). She serves as the Director and Deputy Secretary-General of the Beijing Society of Image and Graphics, as well as Vice Chair of the Youth Talent Support Club of the China Society of Image and Graphics. Her research interests include computer vision, video understanding, and fine-grained motion analysis. She has published more than 30 academic papers on the top-tier ACM/IEEE Transactions and CCF A-class journals and conferences, such as TPAMI, IJCV, CVPR, etc. She has led projects including the NSFC General Program, the NSFC Young Scientists Fund, the Beijing Natural Science Foundation General Program, the China Postdoctoral Science Foundation General Program, and the Tencent Rhino-Bird Special Research Program. She participated in the National Natural Science Foundation of China Key Project (ranked 2nd) and the Beijing Natural Science Foundation Joint Fund Key Project (ranked 2nd) as the head of the cooperative unit. She has collaborated with organizations such as China Telecom and Tencent to advance the application of scientific research achievements in practical scenarios. She was selected into the China Association for Science and Technology Youth Talent Support Program and has received the Shi Qingyun Female Scientist Award and the Outstanding Doctoral Dissertation Award from the China Society of Image and Graphics. Additionally, she has received the First Prize in the Natural Science Award (ranked 4/5) from the Chinese Association of Automation and the Second Prize in the Natural Science Award (ranked 3/5) from the China Society of Image and Graphics. She serves as a Youth Editorial Board Member of the Chinese Journal of Electronics, an Editorial Board Member of the Journal of Electronics & Information Technology, and the Program Committee Member for IJCAI/AAAI.
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
2025-10-09:1 paper has been accepted to CJE 2025.
2025-07-10:1 paper has been accepted to TCSVT 2025.
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.
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Grants
National Natural Science Foundation of China (Young Scientists Fund Category B), 2025.
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.
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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)
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Human-centric Fine-grained Action Quality Assessment
Jinglin Xu, Sibo Yin, Yuxin Peng*
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
[Paper]
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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]
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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)
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
[中文解读]
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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]
[Github]
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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
[Paper]
[Github]
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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]
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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]
[Paper]
[Github]
[bibtex]
[中文解读]
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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]
[Paper]
[Github]
[bibtex]
[中文解读]
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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
[Paper]
[Github]
[bibtex]
[中文解读]
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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]
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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]
[Paper]
[Github]
[bibtex]
[中文解读]
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Unintentional Action Localization via Counterfactual Examples
Jinglin Xu#, Guangyi Chen#, Jiwen Lu*, Jie Zhou
IEEE Transactions on Image Processing (TIP), 2022
[Paper]
[bibtex]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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Multi-view Feature Learning with Discriminative Regularization
Jinglin Xu, Junwei Han, Feiping Nie
International Joint Conference on Artificial Intelligence (IJCAI), 2017
[Paper]
[bibtex]
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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]
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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]
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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]
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Guide Students
Master Candidate:
Wenhao Zhou (2023.09-), Yaqi Zhang (2023.09-), Xudong Zhang (2023.09-)
Chenyang Ma (2024.09-), Yulong Lei (2024.09-)
Xinghong Mu (2025.09-), Jingxuan Li (2025.09-), Jiabo Wang (2025.09-)
Canbin Zhang (2022.09-2025.07; with Prof. Hongmin Liu), Yuefeng Cai (2021.09-2024.07; with Prof. Hongmin Liu)
Ph.D. Candidate:
Xueli Li (2022.09-2024.07; with Prof. Hongmin Liu), Hongkun Liu (2023.05-2024.07; with Prof. Hongmin Liu)
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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.
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