Self-supervised equivariant attention mechanism for weakly supervised semantic segmentation Y Wang, J Zhang, M Kan, S Shan, X Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 773 | 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 |
Single-side domain generalization for face anti-spoofing Y Jia, J Zhang, S Shan, X Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 284 | 2020 |
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 |
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 |
Meta gradient adversarial attack Z Yuan, J Zhang, Y Jia, C Tan, T Xue, S Shan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 87 | 2021 |
MFR 2021: Masked face recognition competition F Boutros, N Damer, JN Kolf, K Raja, F Kirchbuchner, R Ramachandra, ... 2021 IEEE International joint conference on biometrics (IJCB), 1-10, 2021 | 71 | 2021 |
Deformable face net for pose invariant face recognition M He, J Zhang, S Shan, M Kan, X Chen Pattern Recognition 100, 107113, 2020 | 71 | 2020 |
Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing Y Jia, J Zhang, S Shan, X Chen Pattern Recognition 115, 107888, 2021 | 63 | 2021 |
A fully end-to-end cascaded cnn for facial landmark detection Z He, M Kan, J Zhang, X Chen, S Shan 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 54 | 2017 |
Kinnet: Fine-to-coarse deep metric learning for kinship verification Y Li, J Zeng, J Zhang, A Dai, M Kan, S Shan, X Chen Proceedings of the 2017 workshop on recognizing families in the wild, 13-20, 2017 | 50 | 2017 |
Robust fec-cnn: A high accuracy facial landmark detection system Z He, J Zhang, M Kan, S Shan, X Chen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 36 | 2017 |
Leveraging datasets with varying annotations for face alignment via deep regression network J Zhang, M Kan, S Shan, X Chen Proceedings of the IEEE International Conference on Computer Vision, 3801-3809, 2015 | 36 | 2015 |
Dual-branch meta-learning network with distribution alignment for face anti-spoofing Y Jia, J Zhang, S Shan IEEE Transactions on Information Forensics and Security 17, 138-151, 2021 | 34 | 2021 |
Enhancing face recognition with self-supervised 3d reconstruction M He, J Zhang, S Shan, X Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 30 | 2022 |
Adaptive image transformations for transfer-based adversarial attack Z Yuan, J Zhang, S Shan European Conference on Computer Vision, 1-17, 2022 | 27 | 2022 |
Self-supervised scale equivariant network for weakly supervised semantic segmentation Y Wang, J Zhang, M Kan, S Shan, X Chen arXiv preprint arXiv:1909.03714, 2019 | 23 | 2019 |
Locality-aware channel-wise dropout for occluded face recognition M He, J Zhang, S Shan, X Liu, Z Wu, X Chen IEEE Transactions on Image Processing 31, 788-798, 2021 | 20 | 2021 |
Learning pseudo labels for semi-and-weakly supervised semantic segmentation Y Wang, J Zhang, M Kan, S Shan Pattern Recognition 132, 108925, 2022 | 16 | 2022 |
Hierarchical compositional representations for few-shot action recognition C Li, J Zhang, S Wu, X Jin, S Shan Computer Vision and Image Understanding 240, 103911, 2024 | 15 | 2024 |