| Meta-learning-based adversarial training for deep 3D face recognition on point clouds C Yu, Z Zhang, H Li, J Sun, Z Xu Pattern Recognition 134, 109065, 2023 | 31 | 2023 |
| Towards high-fidelity text-guided 3d face generation and manipulation using only images C Yu, G Lu, Y Zeng, J Sun, X Liang, H Li, Z Xu, S Xu, W Zhang, H Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 17 | 2023 |
| Learning flexibly distributional representation for low-quality 3D face recognition Z Zhang, C Yu, S Xu, H Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3465-3473, 2021 | 15 | 2021 |
| Learning distribution independent latent representation for 3d face disentanglement Z Zhang, C Yu, H Li, J Sun, F Liu 2020 International Conference on 3D Vision (3DV), 848-857, 2020 | 11 | 2020 |
| Deep learning based 2D face recognition: a survey CC Yu, HB Li Chinese Journal of Engineering Mathematics 38 (4), 451-469, 2021 | 8 | 2021 |
| A review of face recognition methods based on deep learning Y Cuican, L Huibin Journal of Engineering Mathematics 38 (04), 451-469, 2021 | 6 | 2021 |
| Reconstructing a large scale 3D face dataset for deep 3D face identification C Yu, Z Zhang, H Li arXiv preprint arXiv:2010.08391, 2020 | 3 | 2020 |
| Facial adversarial sample augmentation for robust low-quality 3D face recognition F Sun, C Yu, H Li Chinese Conference on Biometric Recognition, 160-169, 2023 | 2 | 2023 |
| Adaptive representation learning and sample weighting for low-quality 3D face recognition C Yu, F Sun, Z Zhang, H Li, L Chen, J Sun, Z Xu Pattern Recognition 159, 111161, 2025 | | 2025 |
| Multi-modal Feature Guided Detailed 3D Face Reconstruction from a Single Image J Wang, C Yu, H Li Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 356-368, 2023 | | 2023 |
| A distribution independence based method for 3D face shape decomposition C Yu, Z Zhang, H Li, J Sun, Z Xu Computer Vision and Image Understanding 210, 103244, 2021 | | 2021 |