云顶娱乐

云顶娱乐 、人工智能研究院

云顶娱乐

云顶娱乐 、人工智能研究院

云顶娱乐

云顶娱乐 、人工智能研究院

云顶娱乐

云顶娱乐 、人工智能研究院

云顶娱乐

云顶娱乐
徐婧林
系所:智能科学与技术系
职称:副教授
职务:
办公地点:机电信息楼705
办公电话:(个人主页) //xujinglin.github.io/
电子邮箱:[email protected]
2015年-2020年,西北工业大学自动化学院博士(期间2017年-2019年,美国罗彻斯特大学计算机科学系联合培养)
工作履历
2020年-2022年,清华大学自动化系博士后
2023年至今,云顶娱乐 副教授
研究方向
计算机视觉,视频理解,细粒度运动分析
学术与社会兼职
北京图象图形学学会副秘书长、理事,中国图象图形学学会青托俱乐部副主席,中国图象图形学学会前沿科技论坛委员会学术秘书,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等;《电子学报(英文版)》青年编委、《电子与信息学报》编委、《计算机科学》青年编委等。
代表性论著
1. Jinglin Xu, Yongming Rao, Jie Zhou, Jiwen Lu, Procedure-aware Action Quality Assessment: Datasets and Performance Evaluation, International Journal of Computer Vision (IJCV), 2024.
2. Jinglin Xu, Guangyi Chen, Jiwen Lu, Jie Zhou. Unintentional Action Localization via Counterfactual Examples, IEEE Transactions on Image Processing (TIP), 2022.
3. Jinglin Xu, Guangyi Chen, Nuoxing Zhou, Wei-Shi Zheng, Jiwen Lu. Probabilistic Temporal Modeling for Unintentional Action Localization, IEEE Transactions on Image Processing (TIP), 2022.
4. Jinglin Xu, Junwei Han, Feiping Nie, Xuelong Li. Multi-view Scaling Support Vector Machines for Classification and Feature Selection, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
5. Jinglin Xu, Junwei Han, Feiping Nie, Xuelong Li. Re-weighted Discriminatively Embedded K-Means for Multi-view Clustering, IEEE Transactions on Image Processing (TIP), 2017.
6. Jinglin Xu, Sibo Yin, Guohao Zhao, Zishuo Wang, Yuxin Peng. FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. Oral (acceptance rate=3.3%)
7. Jinglin Xu, Yijie Guo, Yuxin Peng. FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. Highlight (acceptance rate=11.9%)
8. Jinglin Xu, Guohao Zhao, Sibo Yin, Wenhao Zhou, Yuxin Peng. FineSports: A Multi-person Hierarchical Sports Video Dataset for Fine-grained Action Understanding, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
9. Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu. FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. Oral (acceptance rate=4.2%)
10. Jinglin Xu, Junwei Han, Feiping Nie. Discriminatively embedded k-means for multi-view clustering, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2016. Spotlight (acceptance rate=9.7%)
11. Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han. Joint multi-view 2D convolutional neural networks for 3D object classification, International Joint Conference on Artificial Intelligence (IJCAI), 2020.
12. Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han. Deep embedded complementary and interactive information for multi-view classification, AAAI Conference on Artificial Intelligence (AAAI), 2020.
13. Jinglin Xu, Feiping Nie, Junwei Han. Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines, International Joint Conference on Artificial Intelligence (IJCAI), 2017.
14. Jinglin Xu, Junwei Han, Feiping Nie. Multi-view Feature Learning with Discriminative Regularization, International Joint Conference on Artificial Intelligence (IJCAI), 2017.
15. Jinglin Xu, Junwei Han, Kai Xiong, Feiping Nie. Robust and sparse fuzzy k-means clustering, International Joint Conference on Artificial Intelligence (IJCAI), 2016.
16. Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo. Distribution consistency based covariance metric networks for few-shot learning. AAAI Conference on Artificial Intelligence (AAAI), 2019.
17. Hongmin Liu, Canbin Zhang, Bin Fan, Jinglin Xu*, Pro2Diff: Proposal Propagation for Multi-Object Tracking via Diffusion Models, IEEE Transactions on Image Processing (TIP), 2024
18. Hongmin Liu, Yuefeng Cai, Bin Fan, Jinglin Xu*. ScalableTrack: Scalable One-stream Tracking via Stage-continual Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
19. Junwei Han, Jinglin Xu*, Feiping Nie, Xuelong Li. Multi-view K-Means Clustering with Adaptive Sparse Memberships and Weight Allocation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
20. Hongbo Sun, Xiangteng He, Jinglin Xu, Yuxin Peng*, SIM-OFE: Structure Information Mining and Object-aware Feature Enhancement for Fine-Grained Visual Categorization, IEEE Transactions on Image Processing (TIP), 2024
21. Zishuo Wang, Wenhao Zhou, Jinglin Xu, Yuxin Peng. SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection,ACM International Conference on Multimedia (ACM MM), 2024.
22. Hongbo Sun, Jiahuan Zhou, Xiangteng He, Jinglin Xu, Yuxin Peng. FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2024.
23. Ruoyan Pi, Jinglin Xu, Yuxin Peng. FE-VAD: High-Low Frequency Enhanced Weakly Supervised Video Anomaly Detection. IEEE International Conference on Multimedia and Expo (ICME), 2024.
24. Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo. Revisiting local descriptor based image-to-class measure for few-shot learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
代表性项目
1. 国家自然科学基金面上项目,2023,项目负责人
2. 国家自然科学基金青年基金,2021,项目负责人
3. 国家自然科学基金重点项目,2024,合作单位负责人
4. 北京市自然科学基金联合基金重点项目,2024,合作单位负责人
5. 中国博士后科学基金面上项目,2020,项目负责人
6. 西北工业大学博士论文创新基金,2018,项目负责人
获得荣誉
1. 第九届中国科协青年人才托举工程,2023
2. 中国图象图形学学会优秀博士学位论文奖,2022
3. 中国自动化学会自然科学奖一等奖,2023,排第4
4. 北京图象图形学学会“最美女科技工作者”,2023
5. 西北工业大学优秀博士学位论文,2022
6. 西北工业大学优秀毕业生, 2020
云顶娱乐 、人工智能研究院

云顶娱乐