| Dehazenet: An end-to-end system for single image haze removal B Cai, X Xu, K Jia, C Qing, D Tao IEEE transactions on image processing 25 (11), 5187-5198, 2016 | 3095 | 2016 |
| Knowledge distillation: A survey J Gou, B Yu, SJ Maybank, D Tao International Journal of Computer Vision 129 (6), 1789-1819, 2021 | 2983 | 2021 |
| A survey on vision transformer K Han, Y Wang, H Chen, X Chen, J Guo, Z Liu, Y Tang, A Xiao, C Xu, ... IEEE transactions on pattern analysis and machine intelligence 45 (1), 87-110, 2022 | 2282 | 2022 |
| The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 2155 | 2015 |
| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 2131 | 2017 |
| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2052 | 2018 |
| Deep ordinal regression network for monocular depth estimation H Fu, M Gong, C Wang, K Batmanghelich, D Tao Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 2031 | 2018 |
| Benchmarking single-image dehazing and beyond B Li, W Ren, D Fu, D Tao, D Feng, W Zeng, Z Wang IEEE Transactions on Image Processing 28 (1), 492-505, 2018 | 1777 | 2018 |
| An underwater image enhancement benchmark dataset and beyond C Li, C Guo, W Ren, R Cong, J Hou, S Kwong, D Tao IEEE transactions on image processing 29, 4376-4389, 2019 | 1498 | 2019 |
| A survey on multi-view learning C Xu, D Tao, C Xu arXiv preprint arXiv:1304.5634, 2013 | 1442 | 2013 |
| General tensor discriminant analysis and gabor features for gait recognition D Tao, X Li, X Wu, SJ Maybank IEEE transactions on pattern analysis and machine intelligence 29 (10), 1700 …, 2007 | 1371 | 2007 |
| A review on generative adversarial networks: Algorithms, theory, and applications J Gui, Z Sun, Y Wen, D Tao, J Ye IEEE transactions on knowledge and data engineering 35 (4), 3313-3332, 2021 | 1163 | 2021 |
| Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval D Tao, X Tang, X Li, X Wu IEEE transactions on pattern analysis and machine intelligence 28 (7), 1088-1099, 2006 | 1090 | 2006 |
| Deep modular co-attention networks for visual question answering Z Yu, J Yu, Y Cui, D Tao, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 998 | 2019 |
| Classification with noisy labels by importance reweighting T Liu, D Tao IEEE Transactions on pattern analysis and machine intelligence 38 (3), 447-461, 2015 | 991 | 2015 |
| A survey of graph edit distance X Gao, B Xiao, D Tao, X Li Pattern Analysis and applications 13, 113-129, 2010 | 953 | 2010 |
| Godec: Randomized low-rank & sparse matrix decomposition in noisy case T Zhou, D Tao Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 2011 | 862 | 2011 |
| Multi-modal factorized bilinear pooling with co-attention learning for visual question answering Z Yu, J Yu, J Fan, D Tao Proceedings of the IEEE international conference on computer vision, 1821-1830, 2017 | 824 | 2017 |
| 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 | 804 | 2018 |
| Multi-store tracker (muster): A cognitive psychology inspired approach to object tracking Z Hong, Z Chen, C Wang, X Mei, D Prokhorov, D Tao Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 769 | 2015 |
Tongliang LiuDirector, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AIsydney.edu.au의 이메일 확인됨