Image super-resolution via deep recursive residual network Y Tai, J Yang, X Liu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 2447 | 2017 |
Memnet: A persistent memory network for image restoration Y Tai, J Yang, X Liu, C Xu Proceedings of the IEEE international conference on computer vision, 4539-4547, 2017 | 1854 | 2017 |
Face alignment across large poses: A 3d solution X Zhu, Z Lei, X Liu, H Shi, SZ Li Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1310 | 2016 |
Disentangled representation learning gan for pose-invariant face recognition L Tran, X Yin, X Liu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1141 | 2017 |
Learning deep models for face anti-spoofing: Binary or auxiliary supervision Y Liu, A Jourabloo, X Liu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 677 | 2018 |
On the detection of digital face manipulation H Dang, F Liu, J Stehouwer, X Liu, AK Jain Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 585* | 2020 |
Fsrnet: End-to-end learning face super-resolution with facial priors Y Chen, Y Tai, X Liu, C Shen, J Yang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 566 | 2018 |
Curricularface: adaptive curriculum learning loss for deep face recognition Y Huang, Y Wang, Y Tai, X Liu, P Shen, S Li, J Li, F Huang proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 539 | 2020 |
M3d-rpn: Monocular 3d region proposal network for object detection G Brazil, X Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 502 | 2019 |
Face anti-spoofing using patch and depth-based CNNs Y Atoum, Y Liu, A Jourabloo, X Liu 2017 IEEE international joint conference on biometrics (IJCB), 319-328, 2017 | 497 | 2017 |
Video-based face recognition using adaptive hidden markov models X Liu, T Chen Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE …, 2003 | 430 | 2003 |
Face alignment in full pose range: A 3d total solution X Zhu, X Liu, Z Lei, SZ Li IEEE transactions on pattern analysis and machine intelligence 41 (1), 78-92, 2017 | 428 | 2017 |
Nonlinear 3d face morphable model L Tran, X Liu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 416 | 2018 |
Towards large-pose face frontalization in the wild X Yin, X Yu, K Sohn, X Liu, M Chandraker Proceedings of the IEEE international conference on computer vision, 3990-3999, 2017 | 403 | 2017 |
Demographic estimation from face images: Human vs. machine performance H Han, C Otto, X Liu, AK Jain IEEE transactions on pattern analysis and machine intelligence 37 (6), 1148-1161, 2014 | 394 | 2014 |
Large-pose face alignment via CNN-based dense 3D model fitting A Jourabloo, X Liu Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 393 | 2016 |
Multi-task convolutional neural network for pose-invariant face recognition X Yin, X Liu IEEE Transactions on Image Processing 27 (2), 964-975, 2017 | 367 | 2017 |
Feature transfer learning for face recognition with under-represented data X Yin, X Yu, K Sohn, X Liu, M Chandraker Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 354 | 2019 |
On geometric features for skeleton-based action recognition using multilayer lstm networks S Zhang, X Liu, J Xiao 2017 IEEE winter conference on applications of computer vision (WACV), 148-157, 2017 | 346 | 2017 |
Illuminating pedestrians via simultaneous detection & segmentation G Brazil, X Yin, X Liu Proceedings of the IEEE international conference on computer vision, 4950-4959, 2017 | 315 | 2017 |