Hang Su
Hang Su
Associated Professor, Tsinghua University
Verified email at mail.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Boosting adversarial attacks with momentum
Y Dong, F Liao, T Pang, H Su, J Zhu, X Hu, J Li
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake …, 2018
7112018
Evading defenses to transferable adversarial examples by translation-invariant attacks
Y Dong, T Pang, H Su, J Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1122019
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
952019
Cell segmentation in phase contrast microscopy images via semi-supervised classification over optics-related features
H Su, Z Yin, S Huh, T Kanade
Medical image analysis 17 (7), 746-765, 2013
752013
Improving interpretability of deep neural networks with semantic information
Y Dong, H Su, J Zhu, B Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017., 2017
742017
Towards interpretable deep neural networks by leveraging adversarial examples
Y Dong, H Su, J Zhu, F Bao
arXiv preprint arXiv:1708.05493, 2017
702017
Improving black-box adversarial attacks with a transfer-based prior
S Cheng, Y Dong, T Pang, H Su, J Zhu
arXiv preprint arXiv:1906.06919, 2019
612019
The large-scale crowd behavior perception based on spatio-temporal viscous fluid field
H Su, H Yang, S Zheng, Y Fan, S Wei
IEEE Transactions on Information Forensics and security 8 (10), 1575-1589, 2013
582013
Forecast the Plausible Paths in Crowd Scenes.
H Su, J Zhu, Y Dong, B Zhang
IJCAI 1, 2, 2017
432017
Crowd Scene Understanding with Coherent Recurrent Neural Networks.
H Su, Y Dong, J Zhu, H Ling, B Zhang
IJCAI 1, 2, 2016
392016
Sparse adversarial perturbations for videos
X Wei, J Zhu, S Yuan, H Su
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8973-8980, 2019
352019
Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process
H Zou, H Su, S Song, J Zhu
AAAI Conference on Artificial Intelligence (AAAI), New Orleans, USA, 2018., 2018
342018
Interactive Cell Segmentation based on Active and Semi-supervised Learning
H Su, Z Yin, S Huh, T Kanade, J Zhu
IEEE Transactions on Medical Imaging, 2015
342015
The large-scale crowd density estimation based on sparse spatiotemporal local binary pattern
H Yang, H Su, S Zheng, S Wei, Y Fan
2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011
342011
Pruning from scratch
Y Wang, X Zhang, L Xie, J Zhou, H Su, B Zhang, X Hu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12273 …, 2020
312020
Interpret neural networks by identifying critical data routing paths
Y Wang, H Su, B Zhang, X Hu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
312018
Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization
Y Dong, R Ni, J Li, Y Chen, J Zhu, H Su
28th British Machine Vision Conference (BMVC), London, 2017, 2017
312017
Apoptosis detection for adherent cell populations in time-lapse phase-contrast microscopy images
S Huh, H Su, T Kanade
International Conference on Medical Image Computing and Computer-Assisted …, 2012
312012
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples
D Sun, T Ren, C Li, J Zhu, H Su
Proc. of the 27th International Joint Conference on Artificial Intelligence …, 2017
302017
Phase contrast image restoration via dictionary representation of diffraction patterns
H Su, Z Yin, T Kanade, S Huh
International Conference on Medical Image Computing and Computer-Assisted …, 2012
292012
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