| 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 | 810 | 2016 |
| Point-bert: Pre-training 3d point cloud transformers with masked point modeling X Yu, L Tang, Y Rao, T Huang, J Zhou, J Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 476 | 2022 |
| 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 | 476 | 2021 |
| 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 | 443 | 2016 |
| Graph convolutional reinforcement learning J Jiang, C Dun, T Huang, Z Lu arXiv preprint arXiv:1810.09202, 2018 | 418 | 2018 |
| 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 | 416 | 2017 |
| Eva: Exploring the limits of masked visual representation learning at scale Y Fang, W Wang, B Xie, Q Sun, L Wu, X Wang, T Huang, X Wang, Y Cao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 406 | 2023 |
| 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 | 360 | 2021 |
| 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 | 333 | 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 | 332 | 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 | 236 | 2017 |
| 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 | 221 | 2019 |
| 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 | 219 | 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 | 201 | 2020 |
| Learning open set network with discriminative reciprocal points G Chen, L Qiao, Y Shi, P Peng, J Li, T Huang, S Pu, Y Tian Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 199 | 2020 |
| 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 | 180 | 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 | 164 | 2010 |
| Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks T Bu, W Fang, J Ding, PL Dai, Z Yu, T Huang arXiv preprint arXiv:2303.04347, 2023 | 158 | 2023 |
| 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 | 155 | 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 | 147 | 2017 |
Yonghong TianProfessor, School of CS and School of ECE at Peking University, Pengcheng Laboratory, IEEE Fellow在 pku.edu.cn 的电子邮件经过验证
