| Learning efficient object detection models with knowledge distillation G Chen, W Choi, X Yu, T Han, M Chandraker Advances in neural information processing systems 30, 2017 | 1474 | 2017 |
| Feature Transfer Learning for Face Recognition With Under-Represented Data X Yin, X Yu, K Sohn, X Liu, M Chandraker IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5704-5713, 2019 | 460 | 2019 |
| Towards Large-Pose Face Frontalization in the Wild X Yin, X Yu, K Sohn, X Liu, M Chandraker IEEE International Conference on Computer Vision (ICCV), 2017 | 444 | 2017 |
| Face landmark fitting via optimized part mixtures and cascaded deformable model X Yu, J Huang, S Zhang, DN Metaxas IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (11), 2212 …, 2016 | 381* | 2016 |
| Towards universal representation learning for deep face recognition Y Shi, X Yu, K Sohn, M Chandraker, AK Jain Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 215 | 2020 |
| Reconstruction-Based Disentanglement for Pose-invariant Face Recognition X Peng, X Yu, K Sohn, DN Metaxas, M Chandraker IEEE International Conference on Computer Vision (ICCV), 2017 | 191 | 2017 |
| Deep Deformation Network for Object Landmark Localization X Yu, F Zhou, M Chandraker European Conference on Computer Vision (ECCV), 2016 | 163 | 2016 |
| Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos K Sohn, S Liu, G Zhong, X Yu, MH Yang, M Chandraker IEEE International Conference on Computer Vision (ICCV), 2017 | 151 | 2017 |
| Private-knn: Practical differential privacy for computer vision Y Zhu, X Yu, M Chandraker, YX Wang proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 116 | 2020 |
| Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing C Li, MZ Zia, QH Tran, X Yu, GD Hager, M Chandraker IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 113 | 2017 |
| Deep supervision with intermediate concepts C Li, MZ Zia, QH Tran, X Yu, GD Hager, M Chandraker IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2018 | 110 | 2018 |
| Learning cross-modal contrastive features for video domain adaptation D Kim, YH Tsai, B Zhuang, X Yu, S Sclaroff, K Saenko, M Chandraker Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 107 | 2021 |
| Consensus of Regression for Occlusion-Robust Facial Feature Localization X Yu, Z Lin, J Brandt, DN Metaxas European Conference on Computer Vision (ECCV), 2014 | 79 | 2014 |
| Personal authentication using finger vein pattern and finger-dorsa texture fusion W Yang, X Yu, Q Liao Proceedings of the 17th ACM international conference on Multimedia (MM), 905-908, 2009 | 78 | 2009 |
| Unsupervised Domain Adaptation for Distance Metric Learning K Sohn, W Shang, X Yu, M Chandraker International Conference on Learning Representations (ICLR), 2019 | 65 | 2019 |
| Gotta Adapt'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild L Tran, K Sohn, X Yu, X Liu, M Chandraker IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 64 | 2019 |
| Glosh: Global-local spherical harmonics for intrinsic image decomposition H Zhou, X Yu, DW Jacobs Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 62 | 2019 |
| Facial expression capture for character animation WWM Li, J Yang, JW Brandt, X Yu US Patent 9,552,510, 2017 | 61 | 2017 |
| Robust eyelid tracking for fatigue detection F Yang, X Yu, J Huang, P Yang, D Metaxas 2012 19th IEEE International Conference on Image Processing, 1829-1832, 2012 | 55 | 2012 |
| On generalizing beyond domains in cross-domain continual learning C Simon, M Faraki, YH Tsai, X Yu, S Schulter, Y Suh, M Harandi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 53 | 2022 |
Kihyuk SohnResearch Scientist, Meta Reality LabsVerified email at meta.com
