代表性论著
1. Jinglin Xu, Yongming Rao, Jie Zhou, Jiwen Lu. Transferable Unintentional Action Localization with Language-guided Intention Translation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
2. Jinglin Xu, Yongming Rao, Jie Zhou, Jiwen Lu. Procedure-aware Action Quality Assessment: Datasets and Performance Evaluation, International Journal of Computer Vision (IJCV), 2024.
3. Jinglin Xu, Guangyi Chen, Jiwen Lu, Jie Zhou. Unintentional Action Localization via Counterfactual Examples, IEEE Transactions on Image Processing (TIP), 2022.
4. 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.
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, 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.
7. 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%)
8. 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%)
9. 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.
10. 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%)
11. 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%)
12. Geng Li, Jinglin Xu, Yunzhen Zhao, Yuxin Peng. DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
13. 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.
14. 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.
15. 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.
16. 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.
17. Jinglin Xu, Junwei Han, Feiping Nie. Multi-view Feature Learning with Discriminative Regularization, International Joint Conference on Artificial Intelligence (IJCAI), 2017.
18. Jinglin Xu, Junwei Han, Kai Xiong, Feiping Nie. Robust and sparse fuzzy k-means clustering, International Joint Conference on Artificial Intelligence (IJCAI), 2016.
19. 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.
20. 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
21. 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.
22. 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.
23. 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
24. 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.
25. 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.
26. Hulingxiao He, Geng Li, Zijun Geng, Jinglin Xu, Yuxin Peng. Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models. International Conference on Learning Representations (ICLR), 2025.
27. Yanzhe Chen, Zhiwen Yang, Jinglin Xu, Yuxin Peng. MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval. International Conference on Learning Representations (ICLR), 2025.
更多详细信息见个人主页：
//xujinglin.github.io/
