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 | 3711 | 2020 |
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 | 2358 | 2022 |
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 | 2010 | 2021 |
Transformer in transformer K Han, A Xiao, E Wu, J Guo, C Xu, Y Wang Advances in neural information processing systems 34, 15908-15919, 2021 | 1782 | 2021 |
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 | 809 | 2022 |
Filip: Fine-grained interactive language-image pre-training L Yao, R Huang, L Hou, G Lu, M Niu, H Xu, X Liang, Z Li, X Jiang, C Xu arXiv preprint arXiv:2111.07783, 2021 | 567 | 2021 |
Voxel transformer for 3d object detection J Mao, Y Xue, M Niu, H Bai, J Feng, X Liang, H Xu, C Xu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 465 | 2021 |
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 | 423 | 2019 |
A survey on visual transformer K Han, Y Wang, H Chen, X Chen, J Guo, Z Liu, Y Tang, A Xiao, C Xu, ... arXiv preprint arXiv:2012.12556, 2020 | 378 | 2020 |
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 | 291 | 2020 |
One million scenes for autonomous driving: Once dataset J Mao, M Niu, C Jiang, H Liang, J Chen, X Liang, Y Li, C Ye, W Zhang, ... arXiv preprint arXiv:2106.11037, 2021 | 277 | 2021 |
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 | 263 | 2020 |
2D shape matching by contour flexibility C Xu, J Liu, X Tang IEEE transactions on pattern analysis and machine intelligence 31 (1), 180-186, 2008 | 263 | 2008 |
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 | 252 | 2021 |
Video super-resolution with temporal group attention T Isobe, S Li, X Jia, S Yuan, G Slabaugh, C Xu, YL Li, S Wang, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 211 | 2020 |
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 | 194 | 2020 |
Deep fitting degree scoring network for monocular 3d object detection L Liu, J Lu, C Xu, Q Tian, J Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 186 | 2019 |
Pyramid r-cnn: Towards better performance and adaptability for 3d object detection J Mao, M Niu, H Bai, X Liang, H Xu, C Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 176 | 2021 |
Soft: Softmax-free transformer with linear complexity J Lu, J Yao, J Zhang, X Zhu, H Xu, W Gao, C Xu, T Xiang, L Zhang Advances in Neural Information Processing Systems 34, 21297-21309, 2021 | 165 | 2021 |
Efficient residual dense block search for image super-resolution D Song, C Xu, X Jia, Y Chen, C Xu, Y Wang Proceedings of the AAAI conference on artificial intelligence 34 (07), 12007 …, 2020 | 159 | 2020 |