| Pre-trained image processing transformer H Chen, Y Wang, T Guo, C Xu, Y Deng, Z Liu, S Ma, C Xu, C Xu, W Gao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 1540 | 2021 |
| A survey on multi-view learning C Xu, D Tao, C Xu arXiv preprint arXiv:1304.5634, 2013 | 1337 | 2013 |
| Multi-view intact space learning C Xu, D Tao, C Xu IEEE transactions on pattern analysis and machine intelligence 37 (12), 2531 …, 2015 | 389 | 2015 |
| Data-free learning of student networks H Chen, Y Wang, C Xu, Z Yang, C Liu, B Shi, C Xu, C Xu, Q Tian Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 354 | 2019 |
| Learning from multiple teacher networks S You, C Xu, C Xu, D Tao Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 338 | 2017 |
| Large-margin multi-viewinformation bottleneck C Xu, D Tao, C Xu IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (8), 1559-1572, 2014 | 267 | 2014 |
| Ensemble manifold regularization B Geng, D Tao, C Xu, L Yang, XS Hua IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (6), 1227-1233, 2012 | 264 | 2012 |
| Tensor canonical correlation analysis for multi-view dimension reduction Y Luo, D Tao, K Ramamohanarao, C Xu, Y Wen IEEE transactions on Knowledge and Data Engineering 27 (11), 3111-3124, 2015 | 262 | 2015 |
| Cars: Continuous evolution for efficient neural architecture search Z Yang, Y Wang, X Chen, B Shi, C Xu, C Xu, Q Tian, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 257 | 2020 |
| Revisiting perspective information for efficient crowd counting M Shi, Z Yang, C Xu, Q Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 246 | 2019 |
| AdderNet: Do we really need multiplications in deep learning? H Chen, Y Wang, C Xu, B Shi, C Xu, Q Tian, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 226 | 2020 |
| DAML: Domain adaptation metric learning B Geng, D Tao, C Xu IEEE Transactions on Image Processing 20 (10), 2980-2989, 2011 | 218 | 2011 |
| Multi-view learning with incomplete views C Xu, D Tao, C Xu IEEE Transactions on Image Processing 24 (12), 5812-5825, 2015 | 213 | 2015 |
| Manifold regularized multitask learning for semi-supervised multilabel image classification Y Luo, D Tao, B Geng, C Xu, SJ Maybank IEEE Transactions on Image Processing 22 (2), 523-536, 2012 | 203 | 2012 |
| Cnnpack: Packing convolutional neural networks in the frequency domain Y Wang, C Xu, S You, D Tao, C Xu Advances in neural information processing systems 29, 2016 | 201 | 2016 |
| Autoencoder inspired unsupervised feature selection K Han, Y Wang, C Zhang, C Li, C Xu 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 176 | 2018 |
| Multi-view self-paced learning for clustering C Xu, D Tao, C Xu Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 160 | 2015 |
| Self-calibrating photometric stereo B Shi, Y Matsushita, Y Wei, C Xu, P Tan 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 158 | 2010 |
| Multiview matrix completion for multilabel image classification Y Luo, T Liu, D Tao, C Xu IEEE Transactions on Image Processing 24 (8), 2355-2368, 2015 | 156 | 2015 |
| Scop: Scientific control for reliable neural network pruning Y Tang, Y Wang, Y Xu, D Tao, C Xu, C Xu, C Xu Advances in Neural Information Processing Systems 33, 10936-10947, 2020 | 155 | 2020 |
Chang XuUniversity of Sydney在 sydney.edu.au 的电子邮件经过验证
