| Detecting Camouflaged Object in Frequency Domain Y Zhong, B Li, L Tang, S Kuang, S Wu, S Ding Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 87 | 2022 |
| Federated learning with label distribution skew via logits calibration J Zhang, Z Li, B Li, J Xu, S Wu, S Ding, C Wu International Conference on Machine Learning, 26311-26329, 2022 | 79 | 2022 |
| Towards Practical Certifiable Patch Defense with Vision Transformer Z Chen, B Li, J Xu, S Wu, S Ding, W Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 65 | 2022 |
| DENSE: Data-Free One-Shot Federated Learning J Zhang, C Chen, B Li, L Lyu, S Wu, S Ding, C Shen, C Wu Advances in Neural Information Processing Systems, 0 | 61* | |
| Towards Efficient Data Free Black-Box Adversarial Attack J Zhang, B Li, J Xu, S Wu, S Ding, L Zhang, C Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 49 | 2022 |
| Shape matters: deformable patch attack Z Chen, B Li, S Wu, J Xu, S Ding, W Zhang European Conference on Computer Vision, 529-548, 2022 | 48 | 2022 |
| Crowd behavior analysis via curl and divergence of motion trajectories S Wu, H Yang, S Zheng, H Su, Y Fan, MH Yang International Journal of Computer Vision 123 (3), 499-519, 2017 | 40 | 2017 |
| Graph correspondence transfer for person re-identification Q Zhou, H Fan, S Zheng, H Su, X Li, S Wu, H Ling Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 30 | 2018 |
| Deep spatial-temporal fusion network for video-based person re-identification L Chen, H Yang, J Zhu, Q Zhou, S Wu, Z Gao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 29 | 2017 |
| Joint dictionary and metric learning for person re-identification Q Zhou, S Zheng, H Ling, H Su, S Wu Pattern Recognition 72, 196-206, 2017 | 28 | 2017 |
| Abnormal crowd behavior detection based on local pressure model H Yang, Y Cao, S Wu, W Lin, S Zheng, Z Yu Proceedings of The 2012 Asia Pacific Signal and Information Processing …, 2012 | 28 | 2012 |
| Content-based Unrestricted Adversarial Attack Z Chen, B Li, S Wu, K Jiang, S Ding, W Zhang arXiv preprint arXiv:2305.10665, 2023 | 25 | 2023 |
| Robust and efficient graph correspondence transfer for person re-identification Q Zhou, H Fan, H Yang, H Su, S Zheng, S Wu, H Ling IEEE Transactions on Image Processing, 2019 | 22 | 2019 |
| Query-efficient decision-based black-box patch attack Z Chen, B Li, S Wu, S Ding, W Zhang IEEE Transactions on Information Forensics and Security, 2023 | 20 | 2023 |
| Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition H Wang, B Li, S Wu, S Shen, F Liu, S Ding, A Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
| Delving into the Adversarial Robustness of Federated Learning J Zhang, B Li, C Chen, L Lyu, S Wu, S Ding, C Wu arXiv preprint arXiv:2302.09479, 2023 | 17 | 2023 |
| Bilinear dynamics for crowd video analysis S Wu, H Su, H Yang, S Zheng, Y Fan, Q Zhou Journal of Visual Communication and Image Representation 48, 461-470, 2017 | 17 | 2017 |
| A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity J Zhang, C Chen, B Li, L Lyu, S Wu, J Xu, S Ding, C Wu arXiv preprint arXiv:2112.12371, 2021 | 12 | 2021 |
| Video sensor-based complex scene analysis with Granger causality Y Fan, H Yang, S Zheng, H Su, S Wu Sensors 13 (10), 13685-13707, 2013 | 11 | 2013 |
| Detecting adversarial patch attacks through global-local consistency B Li, J Xu, S Wu, S Ding, J Li, F Huang Proceedings of the 1st International Workshop on Adversarial Learning for …, 2021 | 10 | 2021 |
