| Attgan: Facial attribute editing by only changing what you want Z He, W Zuo, M Kan, S Shan, X Chen IEEE transactions on image processing 28 (11), 5464-5478, 2019 | 833 | 2019 |
| Multi-view discriminant analysis M Kan, S Shan, H Zhang, S Lao, X Chen IEEE transactions on pattern analysis and machine intelligence 38 (1), 188-194, 2016 | 788 | 2016 |
| Self-supervised equivariant attention mechanism for weakly supervised semantic segmentation Y Wang, J Zhang, M Kan, S Shan, X Chen IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12275 …, 2020 | 780 | 2020 |
| Coarse-to-fine auto-encoder networks (cfan) for real-time face alignment J Zhang, S Shan, M Kan, X Chen Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 706 | 2014 |
| Stacked progressive auto-encoders (spae) for face recognition across poses M Kan, S Shan, H Chang, X Chen Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 290 | 2014 |
| Multi-view deep network for cross-view classification M Kan, S Shan, X Chen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 208 | 2016 |
| Duplex generative adversarial network for unsupervised domain adaptation L Hu, M Kan, S Shan, X Chen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 206 | 2018 |
| Generative adversarial network with spatial attention for face attribute editing G Zhang, M Kan, S Shan, X Chen Proceedings of the European conference on computer vision (ECCV), 417-432, 2018 | 184 | 2018 |
| Agenet: Deeply learned regressor and classifier for robust apparent age estimation X Liu, S Li, M Kan, J Zhang, S Wu, W Liu, H Han, S Shan, X Chen Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 184 | 2015 |
| Real-time rotation-invariant face detection with progressive calibration networks X Shi, S Shan, M Kan, S Wu, X Chen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 135 | 2018 |
| Funnel-structured cascade for multi-view face detection with alignment-awareness S Wu, M Kan, Z He, S Shan, X Chen Neurocomputing 221, 138-145, 2017 | 135 | 2017 |
| Weakly Supervised Object Detection with Segmentation Collaboration XC Xiaoyan Li, Meina Kan, Shiguang Shan IEEE/CVF International Conference on Computer Vision (ICCV), 9735-9744, 2019 | 128* | 2019 |
| Occlusion-free face alignment: Deep regression networks coupled with de-corrupt autoencoders J Zhang, M Kan, S Shan, X Chen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 126 | 2016 |
| VIPLFaceNet: an open source deep face recognition SDK X Liu, M Kan, W Wu, S Shan, X Chen Frontiers of Computer Science 11, 208-218, 2017 | 121 | 2017 |
| Domain adaptation for face recognition: Targetize source domain bridged by common subspace M Kan, J Wu, S Shan, X Chen International journal of computer vision 109, 94-109, 2014 | 119 | 2014 |
| Unsupervised domain adaptation with hierarchical gradient synchronization L Hu, M Kan, S Shan, X Chen IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4043-4052, 2020 | 112 | 2020 |
| Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning N Lai, M Kan, C Han, X Song, S Shan IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (TNNLS) 32 (8 …, 2021 | 107 | 2021 |
| Side-Information based Linear Discriminant Analysis for Face Recognition. M Kan, S Shan, D Xu, X Chen BMVC 11 (2011), 1-12, 2011 | 99 | 2011 |
| Fully learnable group convolution for acceleration of deep neural networks X Wang, M Kan, S Shan, X Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 94 | 2019 |
| Deformable face net for pose invariant face recognition M He, J Zhang, S Shan, M Kan, X Chen Pattern Recognition 100, 107113, 2020 | 72 | 2020 |
