Hang Su
Hang Su
Associated Professor, Tsinghua University
Email verificata su mail.tsinghua.edu.cn - Home page
Titolo
Citata da
Citata da
Anno
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
5382018
Evading defenses to transferable adversarial examples by translation-invariant attacks
Y Dong, T Pang, H Su, J Zhu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
732019
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
702013
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 Conference on Computer Vision and Pattern …, 2019
602019
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
602017
Towards interpretable deep neural networks by leveraging adversarial examples
Y Dong, H Su, J Zhu, F Bao
arXiv preprint arXiv:1708.05493, 2017
592017
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
562013
Improving black-box adversarial attacks with a transfer-based prior
S Cheng, Y Dong, T Pang, H Su, J Zhu
Advances in Neural Information Processing Systems, 10934-10944, 2019
432019
Forecast the Plausible Paths in Crowd Scenes.
H Su, J Zhu, Y Dong, B Zhang
IJCAI 1, 2, 2017
342017
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
Crowd Scene Understanding with Coherent Recurrent Neural Networks.
H Su, Y Dong, J Zhu, H Ling, B Zhang
IJCAI 1, 2, 2016
322016
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
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
312015
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
292018
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
Sparse adversarial perturbations for videos
X Wei, J Zhu, S Yuan, H Su
Proceedings of the AAAI Conference on Artificial Intelligence 33, 8973-8980, 2019
262019
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
262012
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
232017
Analyzing the Noise Robustness of Deep Neural Networks
JZ Mengchen Liu, Shixia Liu, Hang Su, Kelei Cao
IEEE VIS (VAST), 0
23*
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
222017
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