| 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 | 658 | 2016 |
| 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 | 404 | 2016 |
| Vlogging: A survey of videoblogging technology on the web W Gao, Y Tian, T Huang, Q Yang ACM Computing Surveys (CSUR) 42 (4), 1-57, 2010 | 353* | 2010 |
| Speech emotion recognition using deep convolutional neural network and discriminant temporal pyramid matching S Zhang, S Zhang, T Huang, W Gao IEEE Transactions on Multimedia 20 (6), 1576-1590, 2017 | 312 | 2017 |
| Graph convolutional reinforcement learning J Jiang, C Dun, T Huang, Z Lu arXiv preprint arXiv:1810.09202, 2018 | 279 | 2018 |
| Learning affective features with a hybrid deep model for audio–visual emotion recognition S Zhang, S Zhang, T Huang, W Gao, Q Tian IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 3030 …, 2017 | 256 | 2017 |
| Bi-directional cascade network for perceptual edge detection J He, S Zhang, M Yang, Y Shan, T Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 217 | 2019 |
| 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 | 197 | 2017 |
| 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 | 190 | 2013 |
| 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 | 165 | 2019 |
| 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 | 160 | 2010 |
| 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 | 154 | 2021 |
| Multi-scale 3d convolution network for video based person re-identification J Li, S Zhang, T Huang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8618-8625, 2019 | 129 | 2019 |
| Overview of the MPEG-CDVS standard LY Duan, V Chandrasekhar, J Chen, J Lin, Z Wang, T Huang, B Girod, ... IEEE Transactions on Image Processing 25 (1), 179-194, 2015 | 129 | 2015 |
| 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 | 121 | 2017 |
| In vitro degradation and biocompatibility of Fe–Pd and Fe–Pt composites fabricated by spark plasma sintering T Huang, J Cheng, YF Zheng Materials Science and Engineering: C 35, 43-53, 2014 | 115 | 2014 |
| Background-modeling-based adaptive prediction for surveillance video coding X Zhang, T Huang, Y Tian, W Gao IEEE Transactions on Image Processing 23 (2), 769-784, 2013 | 113 | 2013 |
| Video coding for machines: A paradigm of collaborative compression and intelligent analytics L Duan, J Liu, W Yang, T Huang, W Gao IEEE Transactions on Image Processing 29, 8680-8695, 2020 | 109 | 2020 |
| Keyphrase extraction using semantic networks structure analysis C Huang, Y Tian, Z Zhou, CX Ling, T Huang Sixth International Conference on Data Mining (ICDM'06), 275-284, 2006 | 106 | 2006 |
| Joint semantic and latent attribute modelling for cross-class transfer learning P Peng, Y Tian, T Xiang, Y Wang, M Pontil, T Huang IEEE transactions on pattern analysis and machine intelligence 40 (7), 1625-1638, 2017 | 101 | 2017 |
Yonghong Tian, Professor, IEEE FellowSchool of CS and School of ECE at Peking University, Pengcheng Laboratory在 pku.edu.cn 的电子邮件经过验证
