| A face antispoofing database with diverse attacks Z Zhang, J Yan, S Liu, Z Lei, D Yi, SZ Li 2012 5th IAPR international conference on Biometrics (ICB), 26-31, 2012 | 824 | 2012 |
| Generative face completion Y Li, S Liu, J Yang, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 706 | 2017 |
| Learning continuous image representation with local implicit image function Y Chen, S Liu, X Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 361 | 2021 |
| Low-light image enhancement via a deep hybrid network W Ren, S Liu, L Ma, Q Xu, X Xu, X Cao, J Du, MH Yang IEEE Transactions on Image Processing 28 (9), 4364-4375, 2019 | 328 | 2019 |
| Deep cascaded bi-network for face hallucination S Zhu, S Liu, CC Loy, X Tang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 268 | 2016 |
| Learning affinity via spatial propagation networks S Liu, S De Mello, J Gu, G Zhong, MH Yang, J Kautz Advances in Neural Information Processing Systems 30, 2017 | 257 | 2017 |
| Learning linear transformations for fast image and video style transfer X Li, S Liu, J Kautz, MH Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 196 | 2019 |
| Learning dual convolutional neural networks for low-level vision J Pan, S Liu, D Sun, J Zhang, Y Liu, J Ren, Z Li, J Tang, H Lu, YW Tai, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 193 | 2018 |
| Groupvit: Semantic segmentation emerges from text supervision J Xu, S De Mello, S Liu, W Byeon, T Breuel, J Kautz, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 180 | 2022 |
| Learning recursive filters for low-level vision via a hybrid neural network S Liu, J Pan, MH Yang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 174 | 2016 |
| Structured face hallucination CY Yang, S Liu, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 172 | 2013 |
| Multi-objective convolutional learning for face labeling S Liu, J Yang, C Huang, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 150 | 2015 |
| Unsupervised domain adaptation for face recognition in unlabeled videos K Sohn, S Liu, G Zhong, X Yu, MH Yang, M Chandraker Proceedings of the IEEE International Conference on computer vision, 3210-3218, 2017 | 143 | 2017 |
| Joint-task self-supervised learning for temporal correspondence X Li, S Liu, S De Mello, X Wang, J Kautz, MH Yang Advances in Neural Information Processing Systems 32, 2019 | 131 | 2019 |
| Self-supervised single-view 3d reconstruction via semantic consistency X Li, S Liu, K Kim, S De Mello, V Jampani, MH Yang, J Kautz Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 130 | 2020 |
| Scops: Self-supervised co-part segmentation WC Hung, V Jampani, S Liu, P Molchanov, MH Yang, J Kautz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 118 | 2019 |
| Learning linear transformations for fast arbitrary style transfer X Li, S Liu, J Kautz, MH Yang arXiv preprint arXiv:1808.04537, 2018 | 103 | 2018 |
| Context-aware synthesis and placement of object instances D Lee, S Liu, J Gu, MY Liu, MH Yang, J Kautz Advances in neural information processing systems 31, 2018 | 101 | 2018 |
| Putting humans in a scene: Learning affordance in 3d indoor environments X Li, S Liu, K Kim, X Wang, MH Yang, J Kautz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 79 | 2019 |
| Weakly-supervised semantic segmentation by iterative affinity learning X Wang, S Liu, H Ma, MH Yang International Journal of Computer Vision 128, 1736-1749, 2020 | 69 | 2020 |
Ming-Hsuan YangUniversity of California at Merced; GoogleVerified email at ucmerced.edu
