Correlation congruence for knowledge distillation B Peng, X Jin, J Liu, D Li, Y Wu, Y Liu, S Zhou, Z Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 625 | 2019 |
Online knowledge distillation via collaborative learning Q Guo, X Wang, Y Wu, Z Yu, D Liang, X Hu, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 345 | 2020 |
Knowledge distillation via route constrained optimization X Jin, B Peng, Y Wu, Y Liu, J Liu, D Liang, J Yan, X Hu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 213 | 2019 |
Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models YC Wu, F Yin, CL Liu Pattern Recognition 65, 251-264, 2017 | 203 | 2017 |
Scene text recognition with sliding convolutional character models F Yin, YC Wu, XY Zhang, CL Liu arXiv preprint arXiv:1709.01727, 2017 | 118 | 2017 |
Pseco: Pseudo labeling and consistency training for semi-supervised object detection G Li, X Li, Y Wang, Y Wu, D Liang, S Zhang European Conference on Computer Vision, 457-472, 2022 | 101 | 2022 |
Knowledge distillation for object detection via rank mimicking and prediction-guided feature imitation G Li, X Li, Y Wang, S Zhang, Y Wu, D Liang Proceedings of the AAAI conference on artificial intelligence 36 (2), 1306-1313, 2022 | 81 | 2022 |
Handwritten Chinese text recognition using separable multi-dimensional recurrent neural network YC Wu, F Yin, Z Chen, CL Liu 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 81 | 2017 |
Dynamic recursive neural network Q Guo, Z Yu, Y Wu, D Liang, H Qin, J Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 69 | 2019 |
Rotation consistent margin loss for efficient low-bit face recognition Y Wu, Y Wu, R Gong, Y Lv, K Chen, D Liang, X Hu, X Liu, J Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 50 | 2020 |
Block proposal neural architecture search J Liu, S Zhou, Y Wu, K Chen, W Ouyang, D Xu IEEE Transactions on Image Processing 30, 15-25, 2020 | 45 | 2020 |
Simultaneous script identification and handwriting recognition via multi-task learning of recurrent neural networks Z Chen, Y Wu, F Yin, CL Liu 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 45 | 2017 |
Intern: A new learning paradigm towards general vision J Shao, S Chen, Y Li, K Wang, Z Yin, Y He, J Teng, Q Sun, M Gao, J Liu, ... arXiv preprint arXiv:2111.08687, 2021 | 35 | 2021 |
Offline signature verification using convolution siamese network ZJ Xing, F Yin, YC Wu, CL Liu Ninth International Conference on Graphic and Image Processing (ICGIP 2017 …, 2018 | 34 | 2018 |
R3 adversarial network for cross model face recognition K Chen, Y Wu, H Qin, D Liang, X Liu, J Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 32 | 2019 |
Coupleface: Relation matters for face recognition distillation J Liu, H Qin, Y Wu, J Guo, D Liang, K Xu European Conference on Computer Vision, 683-700, 2022 | 24 | 2022 |
Scan: Sliding convolutional attention network for scene text recognition YC Wu, F Yin, XY Zhang, L Liu, CL Liu arXiv preprint arXiv:1806.00578, 2018 | 23 | 2018 |
DAM: discrepancy alignment metric for face recognition J Liu, Y Wu, Y Wu, C Li, X Hu, D Liang, M Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 21 | 2021 |
Improving robust fariness via balance adversarial training C Sun, C Xu, C Yao, S Liang, Y Wu, D Liang, X Liu, A Liu Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15161 …, 2023 | 17 | 2023 |
Isolation and induction: Training robust deep neural networks against model stealing attacks J Guo, X Zheng, A Liu, S Liang, Y Xiao, Y Wu, X Liu Proceedings of the 31st ACM International Conference on Multimedia, 4178-4189, 2023 | 14 | 2023 |