| 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 | 2345 | 2016 |
| A discriminative feature learning approach for deep face recognition Y Wen, K Zhang, Z Li, Y Qiao European conference on computer vision, 499-515, 2016 | 2079 | 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 | 770 | 2018 |
| 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 | 415 | 2010 |
| 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 | 267 | 2011 |
| 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 | 235 | 2009 |
| 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 | 207 | 2017 |
| 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 | 136 | 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 | 122 | 2016 |
| 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 | 103 | 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 | 77 | 2019 |
| A maximum entropy feature descriptor for age invariant face recognition D Gong, Z Li, D Tao, J Liu, X Li Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 77 | 2015 |
| Gender and smile classification using deep convolutional neural networks K Zhang, L Tan, Z Li, Y Qiao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 70 | 2016 |
| Aging face recognition: a hierarchical learning model based on local patterns selection Z Li, D Gong, X Li, D Tao IEEE Transactions on Image Processing 25 (5), 2146-2154, 2016 | 67 | 2016 |
| Face r-cnn H Wang, Z Li, X Ji, Y Wang arXiv preprint arXiv:1706.01061, 2017 | 66 | 2017 |
| Using support vector machines to enhance the performance of Bayesian face recognition Z Li, X Tang IEEE Transactions on Information Forensics and Security 2 (2), 174-180, 2007 | 65 | 2007 |
| Nonparametric subspace analysis for face recognition Z Li, W Liu, D Lin, X Tang 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 64 | 2005 |
| Detecting faces using region-based fully convolutional networks Y Wang, X Ji, Z Zhou, H Wang, Z Li arXiv preprint arXiv:1709.05256, 2017 | 58 | 2017 |
| Detecting faces using inside cascaded contextual cnn K Zhang, Z Zhang, H Wang, Z Li, Y Qiao, W Liu Proceedings of the IEEE International Conference on Computer Vision, 3171-3179, 2017 | 56 | 2017 |
| Bayesian face recognition using support vector machine and face clustering Z Li, X Tang Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 52 | 2004 |
