| Bi-real net: Enhancing the performance of 1-bit cnns with improved representational capability and advanced training algorithm Z Liu, B Wu, W Luo, X Yang, W Liu, KT Cheng Proceedings of the European conference on computer vision (ECCV), 722-737, 2018 | 444 | 2018 |
| The seventh visual object tracking vot2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 395 | 2019 |
| Target-aware deep tracking X Li, C Ma, B Wu, Z He, MH Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 375 | 2019 |
| Learning to compose dynamic tree structures for visual contexts K Tang, H Zhang, B Wu, W Luo, W Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 301 | 2019 |
| Efficient decision-based black-box adversarial attacks on face recognition Y Dong, H Su, B Wu, Z Li, W Liu, T Zhang, J Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 284 | 2019 |
| CNN in MRF: Video object segmentation via inference in a CNN-based higher-order spatio-temporal MRF L Bao, B Wu, W Liu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 204 | 2018 |
| Tedigan: Text-guided diverse face image generation and manipulation W Xia, Y Yang, JH Xue, B Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 173 | 2021 |
| Constrained clustering and its application to face clustering in videos B Wu, Y Zhang, BG Hu, Q Ji Proceedings of the IEEE conference on Computer Vision and Pattern …, 2013 | 150 | 2013 |
| Invisible backdoor attack with sample-specific triggers Y Li, Y Li, B Wu, L Li, R He, S Lyu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 134* | 2021 |
| Multi-label learning with missing labels for image annotation and facial action unit recognition B Wu, S Lyu, BG Hu, Q Ji Pattern Recognition 48 (7), 2279-2289, 2015 | 125 | 2015 |
| Residual regression with semantic prior for crowd counting J Wan, W Luo, B Wu, AB Chan, W Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 103 | 2019 |
| Ml-mg: Multi-label learning with missing labels using a mixed graph B Wu, S Lyu, B Ghanem Proceedings of the IEEE international conference on computer vision, 4157-4165, 2015 | 100 | 2015 |
| Compressing convolutional neural networks via factorized convolutional filters T Li, B Wu, Y Yang, Y Fan, Y Zhang, W Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 93 | 2019 |
| Rethinking the trigger of backdoor attack Y Li, T Zhai, B Wu, Y Jiang, Z Li, S Xia arXiv preprint arXiv:2004.04692, 2020 | 90 | 2020 |
| Multi-label learning with missing labels B Wu, Z Liu, S Wang, BG Hu, Q Ji 2014 22nd International Conference on Pattern Recognition, 1964-1968, 2014 | 84 | 2014 |
| Simultaneous clustering and tracklet linking for multi-face tracking in videos B Wu, S Lyu, BG Hu, Q Ji Proceedings of the IEEE international conference on computer vision, 2856-2863, 2013 | 81 | 2013 |
| Tencent ml-images: A large-scale multi-label image database for visual representation learning B Wu, W Chen, Y Fan, Y Zhang, J Hou, J Liu, T Zhang IEEE Access 7, 172683-172693, 2019 | 75 | 2019 |
| -Box ADMM: A Versatile Framework for Integer Programming B Wu, B Ghanem IEEE transactions on pattern analysis and machine intelligence 41 (7), 1695-1708, 2018 | 74 | 2018 |
| Multi-label learning with missing labels using mixed dependency graphs B Wu, F Jia, W Liu, B Ghanem, S Lyu International Journal of Computer Vision 126 (8), 875-896, 2018 | 69 | 2018 |
| Constrained submodular minimization for missing labels and class imbalance in multi-label learning B Wu, S Lyu, B Ghanem Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 62 | 2016 |
Siwei Lyu (吕思伟)Professor of CSE, University at Buffalo, SUNYVerified email at buffalo.edu
