代表性论著
1. Jinglin Xu, Sibo Yin, Yuxin Peng*. Human-centric Fine-grained Action Quality Assessment, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
2. 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
3. Jinglin Xu, Yongming Rao, Jie Zhou, Jiwen Lu*. Procedure-aware Action Quality Assessment: Datasets and Performance Evaluation, International Journal of Computer Vision (IJCV), 2024.
4. 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.
5. Jinglin Xu, Yaqi Zhang, Wenhao Zhou, Hongmin Liu*. BFSTAL: Bidirectional Feature Splitting with Cross-Layer Fusion for Temporal Action Localization, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.
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, 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.
8. 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%)
9. 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%)
10. 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
11. 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.
12. Hongmin Liu, Xueli Li, Bin Fan, Jinglin Xu*. BRTAL: Boundary Refinement Temporal Action Localization via Offset-Driven Diffusion Models. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.
更多详细信息见个人主页：//xujinglin.github.io/
