| Ghostnet: More features from cheap operations K Han, Y Wang, Q Tian, J Guo, C Xu, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 2926 | 2020 |
| 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 | 1675 | 2021 |
| A survey on multi-view learning C Xu, D Tao, C Xu arXiv preprint arXiv:1304.5634, 2013 | 1357 | 2013 |
| Cmt: Convolutional neural networks meet vision transformers J Guo, K Han, H Wu, Y Tang, X Chen, Y Wang, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 611 | 2022 |
| Multi-view intact space learning C Xu, D Tao, C Xu IEEE transactions on pattern analysis and machine intelligence 37 (12), 2531 …, 2015 | 391 | 2015 |
| Perceptual adversarial networks for image-to-image transformation C Wang, C Xu, C Wang, D Tao IEEE Transactions on Image Processing 27 (8), 4066-4079, 2018 | 389 | 2018 |
| Data-Free Learning of Student Networks H Chen, Y Wang, C Xu, Z Yang, C Liu, B Shi, C Xu, C Xu, Q Tian IEEE International Conference on Computer Vision, 2019 | 375 | 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 | 365 | 2017 |
| Evolutionary generative adversarial networks C Wang, C Xu, X Yao, D Tao IEEE Transactions on Evolutionary Computation 23 (6), 921-934, 2019 | 330 | 2019 |
| Multi-task pose-invariant face recognition C Ding, C Xu, D Tao IEEE Transactions on image Processing 24 (3), 980-993, 2015 | 297 | 2015 |
| Large-margin multi-viewinformation bottleneck C Xu, D Tao, C Xu IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (8), 1559-1572, 2014 | 268 | 2014 |
| 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 | 266 | 2020 |
| 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 | 237 | 2020 |
| Self-supervised representation learning by rotation feature decoupling Z Feng, C Xu, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 221 | 2019 |
| Multi-view learning with incomplete views C Xu, D Tao, C Xu IEEE Transactions on Image Processing 24 (12), 5812-5825, 2015 | 219 | 2015 |
| CNNpack: packing convolutional neural networks in the frequency domain CX Y Wang, C Xu, S You, D Tao Advances in Neural Information Processing Systems, 2016 | 208 | 2016 |
| Distilling object detectors via decoupled features J Guo, K Han, Y Wang, H Wu, X Chen, C Xu, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 207 | 2021 |
| Attention-gan for object transfiguration in wild images X Chen, C Xu, X Yang, D Tao Proceedings of the European conference on computer vision (ECCV), 164-180, 2018 | 200 | 2018 |
| 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 | 184 | 2019 |
| Context aware graph convolution for skeleton-based action recognition X Zhang, C Xu, D Tao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 180 | 2020 |
