Contrastive learning for compact single image dehazing H Wu, Y Qu, S Lin, J Zhou, R Qiao, Z Zhang, Y Xie, L Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 275 | 2021 |
Color transfer in correlated color space X Xiao, L Ma Proceedings of the 2006 ACM international conference on Virtual reality …, 2006 | 223 | 2006 |
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment Z Shao, Z Liu, J Cai, L Ma Proceedings of the European Conference on Computer Vision (ECCV), 725-740, 2018 | 164 | 2018 |
Gradient‐preserving color transfer X Xiao, L Ma Computer Graphics Forum 28 (7), 1879-1886, 2009 | 131 | 2009 |
A new free-form deformation through the control of parametric surfaces J Feng, L Ma, Q Peng Computers & Graphics 20 (4), 531-539, 1996 | 116 | 1996 |
Facial action unit detection using attention and relation learning Z Shao, Z Liu, J Cai, Y Wu, L Ma IEEE transactions on affective computing 13 (3), 1274-1289, 2019 | 104 | 2019 |
Face anti-spoofing via disentangled representation learning KY Zhang, T Yao, J Zhang, Y Tai, S Ding, J Li, F Huang, H Song, L Ma Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 101 | 2020 |
Ntire 2020 challenge on nonhomogeneous dehazing CO Ancuti, C Ancuti, FA Vasluianu, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 88 | 2020 |
Jaa-net: joint facial action unit detection and face alignment via adaptive attention Z Shao, Z Liu, J Cai, L Ma International Journal of Computer Vision 129, 321-340, 2021 | 81 | 2021 |
Pointwise rotation-invariant network with adaptive sampling and 3d spherical voxel convolution Y You, Y Lou, Q Liu, YW Tai, L Ma, C Lu, W Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12717 …, 2020 | 77 | 2020 |
Interactive tooth segmentation of dental models M Zhao, L Ma, W Tan, D Nie 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 654-657, 2006 | 71 | 2006 |
Semi-supervised semantic segmentation via dynamic self-training and classbalanced curriculum Z Feng, Q Zhou, G Cheng, X Tan, J Shi, L Ma arXiv preprint arXiv:2004.08514 1 (2), 5, 2020 | 66 | 2020 |
Not all areas are equal: Transfer learning for semantic segmentation via hierarchical region selection R Sun, X Zhu, C Wu, C Huang, J Shi, L Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 66 | 2019 |
Dmt: Dynamic mutual training for semi-supervised learning Z Feng, Q Zhou, Q Gu, X Tan, G Cheng, X Lu, J Shi, L Ma Pattern Recognition 130, 108777, 2022 | 65 | 2022 |
Efficient super resolution using binarized neural network Y Ma, H Xiong, Z Hu, L Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 60 | 2019 |
图像二值化时图像特征的保留 王强, 马利庄 计算机辅助设计与图形学学报 12 (10), 746-750, 2000 | 60 | 2000 |
Farewell to mutual information: Variational distillation for cross-modal person re-identification X Tian, Z Zhang, S Lin, Y Qu, Y Xie, L Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 57 | 2021 |
Comparison of different color spaces for image segmentation using graph-cut X Wang, R Hänsch, L Ma, O Hellwich 2014 International Conference on Computer Vision Theory and Applications …, 2014 | 57 | 2014 |
Feature selection and syndrome prediction for liver cirrhosis in traditional Chinese medicine Y Wang, L Ma, P Liu Computer Methods and Programs in Biomedicine 95 (3), 249-257, 2009 | 56 | 2009 |
Joint deep multi-view learning for image clustering Y Xie, B Lin, Y Qu, C Li, W Zhang, L Ma, Y Wen, D Tao IEEE Transactions on Knowledge and Data Engineering 33 (11), 3594-3606, 2020 | 55 | 2020 |