| Image generation from layout B Zhao, L Meng, W Yin, L Sigal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 221 | 2019 |
| Semi-latent gan: Learning to generate and modify facial images from attributes W Yin, Y Fu, L Sigal, X Xue arXiv preprint arXiv:1704.02166, 2017 | 60 | 2017 |
| Instance-level facial attributes transfer with geometry-aware flow W Yin, Z Liu, CC Loy Proceedings of the AAAI conference on artificial intelligence 33 (01), 9111-9118, 2019 | 40 | 2019 |
| Layout2image: Image generation from layout B Zhao, W Yin, L Meng, L Sigal International Journal of Computer Vision 128 (10), 2418-2435, 2020 | 28 | 2020 |
| Contrastive vision-language pre-training with limited resources Q Cui, B Zhou, Y Guo, W Yin, H Wu, O Yoshie, Y Chen European Conference on Computer Vision, 236-253, 2022 | 24 | 2022 |
| Learning to generate and edit hairstyles W Yin, Y Fu, Y Ma, YG Jiang, T Xiang, X Xue Proceedings of the 25th ACM international conference on Multimedia, 1627-1635, 2017 | 22 | 2017 |
| Person-in-context synthesis with compositional structural space W Yin, Z Liu, L Sigal Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 3 | 2021 |
| Contrastive vision-language pre-training with limited resources Q Cui, B Zhou, Y Guo, W Yin, H Wu, O Yoshie, Y Chen arXiv preprint arXiv:2112.09331, 2021 | 1 | 2021 |
| Person-in-Context Synthesiswith Compositional Structural Space W Yin, Z Liu, L Sigal arXiv preprint arXiv:2008.12679, 2020 | | 2020 |
Leonid SigalProfessor, University of British ColumbiaVerified email at cs.ubc.ca
