| Joint face detection and alignment using multitask cascaded convolutional networks K Zhang, Z Zhang, Z Li, Y Qiao IEEE signal processing letters 23 (10), 1499-1503, 2016 | 6620 | 2016 |
| A discriminative feature learning approach for deep face recognition Y Wen, K Zhang, Z Li, Y Qiao Computer vision–ECCV 2016: 14th European conference, amsterdam, the …, 2016 | 4670 | 2016 |
| Cosface: Large margin cosine loss for deep face recognition H Wang, Y Wang, Z Zhou, X Ji, D Gong, J Zhou, Z Li, W Liu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 3145 | 2018 |
| Backdoor learning: A survey Y Li, Y Jiang, Z Li, ST Xia IEEE Transactions on Neural Networks and Learning Systems 35 (1), 5-22, 2022 | 672 | 2022 |
| Matching forensic sketches to mug shot photos B Klare, Z Li, AK Jain IEEE transactions on pattern analysis and machine intelligence 33 (3), 639-646, 2010 | 500 | 2010 |
| Range loss for deep face recognition with long-tailed training data X Zhang, Z Fang, Y Wen, Z Li, Y Qiao Proceedings of the IEEE international conference on computer vision, 5409-5418, 2017 | 483 | 2017 |
| Efficient decision-based black-box adversarial attacks on face recognition Y Dong, H Su, B Wu, Z Li, W Liu, T Zhang, J Zhu proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 475 | 2019 |
| A discriminative model for age invariant face recognition Z Li, U Park, AK Jain IEEE transactions on information forensics and security 6 (3), 1028-1037, 2011 | 343 | 2011 |
| Occlusion robust face recognition based on mask learning with pairwise differential siamese network L Song, D Gong, Z Li, C Liu, W Liu Proceedings of the IEEE/CVF international conference on computer vision, 773-782, 2019 | 290 | 2019 |
| Face anti-spoofing: Model matters, so does data X Yang, W Luo, L Bao, Y Gao, D Gong, S Zheng, Z Li, W Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 283 | 2019 |
| Real-time neural style transfer for videos H Huang, H Wang, W Luo, L Ma, W Jiang, X Zhu, Z Li, W Liu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 268 | 2017 |
| Nonparametric discriminant analysis for face recognition Z Li, D Lin, X Tang IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (4), 755-761, 2009 | 264 | 2009 |
| Hidden factor analysis for age invariant face recognition D Gong, Z Li, D Lin, J Liu, X Tang Proceedings of the IEEE international conference on computer vision, 2872-2879, 2013 | 212 | 2013 |
| Latent factor guided convolutional neural networks for age-invariant face recognition Y Wen, Z Li, Y Qiao Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 202 | 2016 |
| Learning spatial attention for face super-resolution C Chen, D Gong, H Wang, Z Li, KYK Wong IEEE Transactions on Image Processing 30, 1219-1231, 2020 | 175 | 2020 |
| Rethinking the trigger of backdoor attack Y Li, T Zhai, B Wu, Y Jiang, Z Li, S Xia arXiv preprint arXiv:2004.04692, 2020 | 169 | 2020 |
| Boundary-aware cascade networks for temporal action segmentation Z Wang, Z Gao, L Wang, Z Li, G Wu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 159 | 2020 |
| Orthogonal deep features decomposition for age-invariant face recognition Y Wang, D Gong, Z Zhou, X Ji, H Wang, Z Li, W Liu, T Zhang Proceedings of the European conference on computer vision (ECCV), 738-753, 2018 | 151 | 2018 |
| Face r-cnn H Wang, Z Li, X Ji, Y Wang arXiv preprint arXiv:1706.01061, 2017 | 136 | 2017 |
| Detecting faces using region-based fully convolutional networks Y Wang, X Ji, Z Zhou, H Wang, Z Li arXiv preprint arXiv:1709.05256, 2017 | 129 | 2017 |
