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 | 1661 | 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 | 1617 | 2022 |
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 | 350 | 2020 |
Post-training quantization for vision transformer Z Liu, Y Wang, K Han, W Zhang, S Ma, W Gao Advances in Neural Information Processing Systems 34, 28092-28103, 2021 | 241 | 2021 |
Frequency-domain dynamic pruning for convolutional neural networks Z Liu, J Xu, X Peng, R Xiong Advances in neural information processing systems 31, 2018 | 170 | 2018 |
P-stmo: Pre-trained spatial temporal many-to-one model for 3d human pose estimation W Shan, Z Liu, X Zhang, S Wang, S Ma, W Gao European Conference on Computer Vision, 461-478, 2022 | 94 | 2022 |
Diffusion-based 3d human pose estimation with multi-hypothesis aggregation W Shan, Z Liu, X Zhang, Z Wang, K Han, S Wang, S Ma, W Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 48 | 2023 |
Ghostsr: Learning ghost features for efficient image super-resolution Y Nie, K Han, Z Liu, C Liu, Y Wang arXiv preprint arXiv:2101.08525, 2021 | 28 | 2021 |
Instance-aware dynamic neural network quantization Z Liu, Y Wang, K Han, S Ma, W Gao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 23 | 2022 |
Evolutionary quantization of neural networks with mixed-precision Z Liu, X Zhang, S Wang, S Ma, W Gao ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 16 | 2021 |
Differential weight quantization for multi-model compression W Duan, Z Liu, C Jia, S Wang, S Ma, W Gao IEEE Transactions on Multimedia, 2022 | 3 | 2022 |