| To learn image super-resolution, use a GAN to learn how to do image degradation first Bulat Adrian*,Jing Yang*, Georgios Tzimiropoulos ECCV, 2018 | 389* | 2018 |
| Stacked hourglass network for robust facial landmark localisation J Yang, Q Liu, K Zhang CVPRW(1st place in Menpo Challenge), 2025-2033, 2017 | 285 | 2017 |
| Training binary neural networks with real-to-binary convolutions B Martinez, J Yang, A Bulat, G Tzimiropoulos ICLR, 2020 | 193 | 2020 |
| Knowledge distillation via softmax regression representation learning J Yang, B Martinez, A Bulat, G Tzimiropoulos ICLR, 2021 | 104* | 2021 |
| M3 CSR: Multi-view, multi-scale and multi-component cascade shape regression J Deng, Q Liu, J Yang, D Tao IVC (1st place in 300W challenge) 47, 19-26, 2016 | 71 | 2016 |
| Facial shape tracking via spatio-temporal cascade shape regression J Yang, J Deng, K Zhang, Q Liu ICCVW(1st place in 300VW challenge), 41-49, 2015 | 64 | 2015 |
| Variational Prototype Learning for Deep Face Recognition J Deng, J Guo, J Yang, A Lattas, S Zafeiriou CVPR, 2021 | 52 | 2021 |
| Killing Two Birds with One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC X An, J Deng, J Guo, Z Feng, X Zhu, J Yang, T Liu CVPR, 2022 | 41 | 2022 |
| Robust object tracking by online Fisher discrimination boosting feature selection J Yang, K Zhang, Q Liu CVIU 153, 100-108, 2016 | 36 | 2016 |
| Adaptive cascade regression model for robust face alignment Q Liu, J Deng, J Yang, G Liu, D Tao IEEE Transactions on Image Processing 26 (2), 797-807, 2016 | 33 | 2016 |
| Robust facial landmark tracking via cascade regression Q Liu, J Yang, J Deng, K Zhang Pattern Recognition 66, 53-62, 2017 | 32 | 2017 |
| FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition J Yang, A Bulat, G Tzimiropoulos AAAI, 2020 | 31 | 2020 |
| Adaptive compressive tracking via online vector boosting feature selection Q Liu, J Yang, K Zhang, Y Wu IEEE transactions on cybernetics 47 (12), 4289-4301, 2016 | 28 | 2016 |
| Pre-training strategies and datasets for facial representation learning A Bulat, S Cheng, J Yang, A Garbett, E Sanchez, G Tzimiropoulos ECCV, 2022 | 16 | 2022 |
| Cascaded regional spatio-temporal feature-routing networks for video object detection H Shuai, Q Liu, K Zhang, J Yang, J Deng IEEE Access 6, 3096-3106, 2017 | 16 | 2017 |
| Face image retrieval based on shape and texture feature fusion Z Lu, J Yang, Q Liu Computational Visual Media 3, 359-368, 2017 | 15 | 2017 |
| FaceHunter: A multi-task convolutional neural network based face detector D Wang, J Yang, J Deng, Q Liu Signal Processing: Image Communication 47, 476-481, 2016 | 15 | 2016 |
| Hierarchical convolutional neural network for face detection D Wang, J Yang, J Deng, Q Liu ICIG, 373-384, 2015 | 6 | 2015 |
| Unicom: Universal and Compact Representation Learning for Image Retrieval X An, J Deng, K Yang, J Li, Z Feng, J Guo, J Yang, T Liu ICLR, 2023 | 4 | 2023 |
| FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection J Yang, J Shen, Y Lin, Y Hristov, M Pantic WACV, 2022 | 4 | 2022 |
Qingshan LiuNanjing University of Information Science and TechnologyVerifierad e-postadress på nuist.edu.cn
