| BSN: Boundary sensitive network for temporal action proposal generation T Lin, X Zhao, H Su, C Wang, M Yang Proceedings of the European Conference on Computer Vision (ECCV), 3-19, 2018 | 893 | 2018 |
| The 6th ai city challenge M Naphade, S Wang, DC Anastasiu, Z Tang, MC Chang, X Yang, Y Yao, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 283 | 2022 |
| Temporal Context Aggregation Network for Temporal Action Proposal Refinement Z Qing, H Su*, W Gan, D Wang, W Wu, X Wang, Y Qiao, J Yan, C Gao, ... CVPR 2021, 485-494, 2021 | 223* | 2021 |
| BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation H Su, W Gan, W Wu, J Yan, Y Qiao Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021, 2021 | 142 | 2021 |
| Attention-based multiview re-observation fusion network for skeletal action recognition Z Fan, X Zhao, T Lin, H Su IEEE Transactions on Multimedia 21 (2), 363-374, 2018 | 74 | 2018 |
| Tsi: Temporal scale invariant network for action proposal generation S Liu, X Zhao, H Su, Z Hu Proceedings of the Asian Conference on Computer Vision, 2020 | 33 | 2020 |
| Cascaded pyramid mining network for weakly supervised temporal action localization H Su, X Zhao, T Lin Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 30 | 2019 |
| Learning Video Representations of Human Motion From Synthetic Data X Guo, W Wu, D Wang, J Su, H Su, W Gan, J Huang, Q Yang CVPR 2022, 20197-20207, 2022 | 19 | 2022 |
| Transferable knowledge-based multi-granularity fusion network for weakly supervised temporal action detection H Su, X Zhao, T Lin, S Liu, Z Hu IEEE Transactions on Multimedia 23, 1503-1515, 2020 | 19 | 2020 |
| Joint learning of local and global context for temporal action proposal generation T Lin, X Zhao, H Su IEEE transactions on circuits and systems for video technology 30 (12), 4899 …, 2019 | 19 | 2019 |
| Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection S Yu, Z Zhao, H Fang, A Deng, H Su, D Wang, W Gan, C Lu, W Wu IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 18 | 2023 |
| Collaborative distillation in the parameter and spectrum domains for video action recognition H Su, J Su, D Wang, W Gan, W Wu, M Wang, J Yan, Y Qiao arXiv preprint arXiv:2009.06902, 2020 | 9 | 2020 |
| Weakly supervised temporal action detection with shot-based temporal pooling network H Su, X Zhao, T Lin, H Fei International Conference on Neural Information Processing, 426-436, 2018 | 7 | 2018 |
| Discovering a variety of objects in spatio-temporal human-object interactions YL Li, H Fan, Z Qiu, Y Dou, L Xu, HS Fang, P Guo, H Su, D Wang, W Wu, ... arXiv preprint arXiv:2211.07501, 2022 | 5 | 2022 |
| TSI: Temporal Saliency Integration for Video Action Recognition H Su, K Li, J Feng, D Wang, W Gan, W Wu, Y Qiao arXiv preprint arXiv:2106.01088, 2021 | 5 | 2021 |
| MVP: Robust multi-view practice for driving action localization J Shang, K Li, K Tian, H Su*, Y Li Technical report submission to the 6th ai city challenge. arXiv preprint …, 2022 | 4 | 2022 |
| Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021 H Su, P Zhuang, Y Li, D Wang, W Gan, W Wu, Y Qiao IEEE Conf. Computer Vision and Pattern Recognition Workshop (CVPRW）, 2021 | 4 | 2021 |
| Method for image processing, method for proposal evaluation, and related apparatuses SU Haisheng, W Mengmeng, GAN Weihao US Patent App. 16/975,213, 2023 | 1 | 2023 |
| Boundary Sensitive Network: Submission to ActivityNet Challenge 2018 T Lin, H Su, X Zhao IEEE Conf. Computer Vision and Pattern Recognition Workshop (CVPRW）, 2018 | 1 | 2018 |
| DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Autonomous Driving H Su, W Wu, J Yan arXiv preprint arXiv:2409.09777, 2024 | | 2024 |
Xu ZhaoShanghai Jiao Tong Universitysjtu.edu.cn üzerinde doğrulanmış e-posta adresine sahip
