Hang Su
Hang Su
Associated Professor, Tsinghua University
Verified email at mail.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Multi-view convolutional neural networks for 3d shape recognition
H Su, S Maji, E Kalogerakis, E Learned-Miller
Proceedings of the IEEE international conference on computer vision, 945-953, 2015
22232015
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
10812018
Splatnet: Sparse lattice networks for point cloud processing
H Su, V Jampani, D Sun, S Maji, E Kalogerakis, MH Yang, J Kautz
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4992018
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
2242019
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
1622019
Shrec16 track: largescale 3d shape retrieval from shapenet core55
M Savva, F Yu, H Su, M Aono, B Chen, D Cohen-Or, W Deng, H Su, S Bai, ...
Proceedings of the eurographics workshop on 3D object retrieval 10, 2016
1272016
Pixel-adaptive convolutional neural networks
H Su, V Jampani, D Sun, O Gallo, E Learned-Miller, J Kautz
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1222019
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
1052019
Benchmarking adversarial robustness on image classification
Y Dong, QA Fu, X Yang, T Pang, H Su, Z Xiao, J Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
912020
Towards interpretable deep neural networks by leveraging adversarial examples
Y Dong, H Su, J Zhu, F Bao
arXiv preprint arXiv:1708.05493, 2017
902017
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
892017
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
782013
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
642020
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
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
602013
Forecast the Plausible Paths in Crowd Scenes.
H Su, J Zhu, Y Dong, B Zhang
IJCAI 1, 2, 2017
572017
Bag of tricks for adversarial training
T Pang, X Yang, Y Dong, H Su, J Zhu
arXiv preprint arXiv:2010.00467, 2020
542020
Crowd Scene Understanding with Coherent Recurrent Neural Networks.
H Su, Y Dong, J Zhu, H Ling, B Zhang
IJCAI 1, 2, 2016
462016
End-to-end face detection and cast grouping in movies using erdos-renyi clustering
SY Jin, H Su, C Stauffer, E Learned-Miller
Proceedings of the IEEE International Conference on Computer Vision, 5276-5285, 2017
442017
Boosting adversarial training with hypersphere embedding
T Pang, X Yang, Y Dong, K Xu, J Zhu, H Su
arXiv preprint arXiv:2002.08619, 2020
422020
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