| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 996 | 2018 |
| Deep domain generalization via conditional invariant adversarial networks Y Li, X Tian, M Gong, Y Liu, T Liu, K Zhang, D Tao Proceedings of the European conference on computer vision (ECCV), 624-639, 2018 | 837 | 2018 |
| A twofold siamese network for real-time object tracking A He, C Luo, X Tian, W Zeng Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 826 | 2018 |
| The seventh visual object tracking VOT2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 594 | 2019 |
| Quantization networks J Yang, X Shen, J Xing, X Tian, H Li, B Deng, J Huang, X Hua Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 462 | 2019 |
| Gaussian temporal awareness networks for action localization F Long, T Yao, Z Qiu, X Tian, J Luo, T Mei Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 430 | 2019 |
| Exploring object relation in mean teacher for cross-domain detection Q Cai, Y Pan, CW Ngo, X Tian, L Duan, T Yao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 374 | 2019 |
| Prompt distribution learning Y Lu, J Liu, Y Zhang, Y Liu, X Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 305 | 2022 |
| Domain generalization via conditional invariant representations Y Li, M Gong, X Tian, T Liu, D Tao Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 248 | 2018 |
| Learning spatio-temporal representation with local and global diffusion Z Qiu, T Yao, CW Ngo, X Tian, T Mei Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 231 | 2019 |
| Graph edge convolutional neural networks for skeleton-based action recognition X Zhang, C Xu, X Tian, D Tao IEEE transactions on neural networks and learning systems 31 (8), 3047-3060, 2019 | 210 | 2019 |
| Camera lens super-resolution C Chen, Z Xiong, X Tian, ZJ Zha, F Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 195 | 2019 |
| Bayesian video search reranking X Tian, L Yang, J Wang, Y Yang, X Wu, XS Hua Proceedings of the 16th ACM international conference on Multimedia, 131-140, 2008 | 179 | 2008 |
| Dispfl: Towards communication-efficient personalized federated learning via decentralized sparse training R Dai, L Shen, F He, X Tian, D Tao arXiv preprint arXiv:2206.00187, 2022 | 150 | 2022 |
| Active reranking for web image search X Tian, D Tao, XS Hua, X Wu IEEE Transactions on Image Processing 19 (3), 805-820, 2009 | 140 | 2009 |
| Sparse transfer learning for interactive video search reranking X Tian, D Tao, Y Rui ACM Transactions on Multimedia Computing, Communications, and Applications …, 2012 | 134 | 2012 |
| 3d local convolutional neural networks for gait recognition Z Huang, D Xue, X Shen, X Tian, H Li, J Huang, XS Hua Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 128 | 2021 |
| Deep boosting for image denoising C Chen, Z Xiong, X Tian, F Wu Proceedings of the European conference on computer vision (ECCV), 3-18, 2018 | 120 | 2018 |
| Query-dependent aesthetic model with deep learning for photo quality assessment X Tian, Z Dong, K Yang, T Mei IEEE Transactions on Multimedia 17 (11), 2035-2048, 2015 | 114 | 2015 |
| Real-world image denoising with deep boosting C Chen, Z Xiong, X Tian, ZJ Zha, F Wu IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (12), 3071 …, 2019 | 101 | 2019 |
Dacheng TaoNanyang Technological UniversityPreverjeni e-poštni naslov na ntu.edu.sg
