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Yonghong Tian, Professor, IEEE Fellow
Yonghong Tian, Professor, IEEE Fellow
School of CS and School of ECE at Peking University, Pengcheng Laboratory
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
Deep relative distance learning: Tell the difference between similar vehicles
H Liu, Y Tian, Y Yang, L Pang, T Huang
Proceedings of the IEEE conference on computer vision and pattern …, 2016
7002016
Hrank: Filter pruning using high-rank feature map
M Lin, R Ji, Y Wang, Y Zhang, B Zhang, Y Tian, L Shao
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
5672020
Unsupervised cross-dataset transfer learning for person re-identification
P Peng, T Xiang, Y Wang, M Pontil, S Gong, T Huang, Y Tian
Proceedings of the IEEE conference on computer vision and pattern …, 2016
4142016
Deep transfer learning for person re-identification
H Chen, Y Wang, Y Shi, K Yan, M Geng, Y Tian, T Xiang
2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 1-5, 2018
325*2018
Can we beat ddos attacks in clouds?
S Yu, Y Tian, S Guo, D Wu
IEEE Transactions on Parallel and Distributed Systems 25 (9), 2245-2254, 2014
2822014
Ad-cluster: Augmented discriminative clustering for domain adaptive person re-identification
Y Zhai, S Lu, Q Ye, X Shan, J Chen, R Ji, Y Tian
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2572020
Part-regularized near-duplicate vehicle re-identification
B He, J Li, Y Zhao, Y Tian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2532019
Sequential deep trajectory descriptor for action recognition with three-stream CNN
Y Shi, Y Tian, Y Wang, T Huang
IEEE Transactions on Multimedia 19 (7), 1510-1520, 2017
2082017
Vlogging: A survey of videoblogging technology on the web
W Gao, Y Tian, T Huang, Q Yang
ACM Computing Surveys 4 (15), 2010
2072010
Incorporating learnable membrane time constant to enhance learning of spiking neural networks
W Fang, Z Yu, Y Chen, T Masquelier, T Huang, Y Tian
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
2032021
Group-sensitive multiple kernel learning for object categorization
J Yang, Y Li, Y Tian, L Duan, W Gao
2009 IEEE 12th international conference on computer vision, 436-443, 2009
2012009
Single underwater image enhancement with a new optical model
H Wen, Y Tian, T Huang, W Gao
2013 IEEE International Symposium on Circuits and Systems (ISCAS), 753-756, 2013
1972013
Channel pruning via automatic structure search
M Lin, R Ji, Y Zhang, B Zhang, Y Wu, Y Tian
International Joint Conference on Artificial Intelligence, 673-679, 2020
1782020
Transductive episodic-wise adaptive metric for few-shot learning
L Qiao, Y Shi, J Li, Y Wang, T Huang, Y Tian
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
1782019
Selectivity or invariance: Boundary-aware salient object detection
J Su, J Li, Y Zhang, C Xia, Y Tian
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
1722019
Multiple expert brainstorming for domain adaptive person re-identification
Y Zhai, Q Ye, S Lu, M Jia, R Ji, Y Tian
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1612020
Probabilistic multi-task learning for visual saliency estimation in video
J Li, Y Tian, T Huang, W Gao
International journal of computer vision 90, 150-165, 2010
1602010
Greedy hash: Towards fast optimization for accurate hash coding in cnn
S Su, C Zhang, K Han, Y Tian
Advances in neural information processing systems 31, 2018
1402018
Deep residual learning in spiking neural networks
W Fang, Z Yu, Y Chen, T Huang, T Masquelier, Y Tian
Advances in Neural Information Processing Systems 34, 21056-21069, 2021
1292021
Exploiting multi-grain ranking constraints for precisely searching visually-similar vehicles
K Yan, Y Tian, Y Wang, W Zeng, T Huang
Proceedings of the IEEE international conference on computer vision, 562-570, 2017
1262017
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