Multi-view 3d object detection network for autonomous driving X Chen, H Ma, J Wan, B Li, T Xia Proceedings of the IEEE conference on Computer Vision and Pattern …, 2017 | 3177 | 2017 |
High performance visual tracking with siamese region proposal network B Li, J Yan, W Wu, Z Zhu, X Hu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 2653 | 2018 |
Robust physical-world attacks on deep learning visual classification K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati, C Xiao, A Prakash, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 2353 | 2018 |
Siamrpn++: Evolution of siamese visual tracking with very deep networks B Li, W Wu, Q Wang, F Zhang, J Xing, J Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 2029 | 2019 |
Targeted backdoor attacks on deep learning systems using data poisoning X Chen, C Liu, B Li, K Lu, D Song arXiv preprint arXiv:1712.05526, 2017 | 1572 | 2017 |
Distractor-aware siamese networks for visual object tracking Z Zhu, Q Wang, B Li, W Wu, J Yan, W Hu Proceedings of the European conference on computer vision (ECCV), 101-117, 2018 | 1453 | 2018 |
Generating adversarial examples with adversarial networks C Xiao, B Li, JY Zhu, W He, M Liu, D Song arXiv preprint arXiv:1801.02610, 2018 | 917 | 2018 |
The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 904 | 2018 |
Manipulating machine learning: Poisoning attacks and countermeasures for regression learning M Jagielski, A Oprea, B Biggio, C Liu, C Nita-Rotaru, B Li 2018 IEEE symposium on security and privacy (SP), 19-35, 2018 | 879 | 2018 |
Characterizing adversarial subspaces using local intrinsic dimensionality X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, G Schoenebeck, D Song, ... arXiv preprint arXiv:1801.02613, 2018 | 768 | 2018 |
Vehicle detection from 3d lidar using fully convolutional network B Li, T Zhang, T Xia arXiv preprint arXiv:1608.07916, 2016 | 743 | 2016 |
Deepgauge: Multi-granularity testing criteria for deep learning systems L Ma, F Juefei-Xu, F Zhang, J Sun, M Xue, B Li, C Chen, T Su, L Li, Y Liu, ... Proceedings of the 33rd ACM/IEEE international conference on automated …, 2018 | 680 | 2018 |
Textbugger: Generating adversarial text against real-world applications J Li, S Ji, T Du, B Li, T Wang arXiv preprint arXiv:1812.05271, 2018 | 655 | 2018 |
Dba: Distributed backdoor attacks against federated learning C Xie, K Huang, PY Chen, B Li International conference on learning representations, 2019 | 578 | 2019 |
Robust physical-world attacks on machine learning models I Evtimov, K Eykholt, E Fernandes, T Kohno, B Li, A Prakash, A Rahmati, ... arXiv preprint arXiv:1707.08945 2 (3), 4, 2017 | 573 | 2017 |
3d fully convolutional network for vehicle detection in point cloud B Li 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 568 | 2017 |
Spatially transformed adversarial examples C Xiao, JY Zhu, B Li, W He, M Liu, D Song arXiv preprint arXiv:1801.02612, 2018 | 565 | 2018 |
Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems T Bengtsson, P Bickel, B Li Probability and statistics: Essays in honor of David A. Freedman 2, 316-335, 2008 | 521 | 2008 |
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 | 502 | 2019 |
Shrinkage tuning parameter selection with a diverging number of parameters H Wang, B Li, C Leng Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009 | 502 | 2009 |