| 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 | 1617 | 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 | 1212 | 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 | 926 | 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 | 852 | 2017 |
| Video-based face recognition using adaptive hidden markov models X Liu, T Chen Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE …, 2003 | 413 | 2003 |
| 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 | 390 | 2018 |
| 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 | 349 | 2014 |
| 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 | 335 | 2018 |
| 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 | 329 | 2016 |
| 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 | 310 | 2017 |
| 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 | 298 | 2017 |
| Multi-task convolutional neural network for pose-invariant face recognition X Yin, X Liu IEEE Transactions on Image Processing 27 (2), 964-975, 2017 | 275 | 2017 |
| Nonlinear 3d face morphable model L Tran, X Liu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 256 | 2018 |
| 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 | 255 | 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 | 248 | 2017 |
| Leaf segmentation in plant phenotyping: a collation study H Scharr, M Minervini, AP French, C Klukas, DM Kramer, X Liu, I Luengo, ... Machine vision and applications 27 (4), 585-606, 2016 | 236 | 2016 |
| 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 | 230* | 2020 |
| 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 | 230 | 2017 |
| 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 | 215 | 2019 |
| Face de-spoofing: Anti-spoofing via noise modeling A Jourabloo, Y Liu, X Liu Proceedings of the European conference on computer vision (ECCV), 290-306, 2018 | 191 | 2018 |
Xi YinResearch Scientist, FacebookVerified email at fb.com
