| 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 | 851 | 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 | 651 | 2022 |
| 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 | 622 | 2023 |
| 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 | 607 | 2021 |
| 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 | 487 | 2019 |
| 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 | 472 | 2021 |
| Graph convolutional reinforcement learning J Jiang, C Dun, T Huang, Z Lu arXiv preprint arXiv:1810.09202, 2018 | 472 | 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 | 461 | 2017 |
| 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 | 452 | 2016 |
| 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 | 354 | 2017 |
| 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 | 250 | 2020 |
| 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 | 239 | 2017 |
| 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 | 236 | 2020 |
| 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 | 235 | 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 | 231 | 2013 |
| 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 | 220 | 2023 |
| Seggpt: Segmenting everything in context X Wang, X Zhang, Y Cao, W Wang, C Shen, T Huang arXiv preprint arXiv:2304.03284, 2023 | 217 | 2023 |
| Images speak in images: A generalist painter for in-context visual learning X Wang, W Wang, Y Cao, C Shen, T Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 214 | 2023 |
| Eva-02: A visual representation for neon genesis Y Fang, Q Sun, X Wang, T Huang, X Wang, Y Cao Image and Vision Computing 149, 105171, 2024 | 192 | 2024 |
| 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 | 187 | 2019 |
Yonghong TianProfessor, School of CS and School of ECE at Peking University, Pengcheng Laboratory, IEEE FellowПотвърден имейл адрес: pku.edu.cn
