| Neural face editing with intrinsic image disentangling Z Shu, E Yumer, S Hadap, K Sunkavalli, E Shechtman, D Samaras Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 242 | 2017 |
| Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance Z Shu, M Sahasrabudhe, A Guler, D Samaras, N Paragios, I Kokkinos European Conference on Computer Vision (ECCV), 2018., 2018 | 160 | 2018 |
| Docunet: Document image unwarping via a stacked u-net K Ma, Z Shu, X Bai, J Wang, D Samaras Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 75 | 2018 |
| Portrait lighting transfer using a mass transport approach Z Shu, S Hadap, E Shechtman, K Sunkavalli, S Paris, D Samaras ACM Transactions on Graphics (TOG) 36 (4), 1, 2017 | 51 | 2017 |
| Dewarpnet: Single-image document unwarping with stacked 3d and 2d regression networks S Das, K Ma, Z Shu, D Samaras, R Shilkrot Proceedings of the IEEE/CVF International Conference on Computer Vision, 131-140, 2019 | 27 | 2019 |
| Lifting autoencoders: Unsupervised learning of a fully-disentangled 3d morphable model using deep non-rigid structure from motion M Sahasrabudhe, Z Shu, E Bartrum, R Alp Guler, D Samaras, I Kokkinos Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 26 | 2019 |
| An adversarial neuro-tensorial approach for learning disentangled representations M Wang, Z Shu, S Cheng, Y Panagakis, D Samaras, S Zafeiriou International Journal of Computer Vision 127 (6), 743-762, 2019 | 20 | 2019 |
| Eyeopener: Editing eyes in the wild Z Shu, E Shechtman, D Samaras, S Hadap ACM Transactions on Graphics (TOG) 36 (1), 1-13, 2016 | 20 | 2016 |
| Action detection with improved dense trajectories and sliding window Z Shu, K Yun, D Samaras European conference on computer vision, 541-551, 2014 | 17 | 2014 |
| Pose with Style: Detail-preserving pose-guided image synthesis with conditional stylegan B Albahar, J Lu, J Yang, Z Shu, E Shechtman, JB Huang ACM Transactions on Graphics (TOG) 40 (6), 1-11, 2021 | 16 | 2021 |
| Improving heterogeneous face recognition with conditional adversarial networks W Zhang, Z Shu, D Samaras, L Chen arXiv preprint arXiv:1709.02848, 2017 | 11 | 2017 |
| Self-supervised deformation modeling for facial expression editing SR Athar, Z Shu, D Samaras 2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020 | 9 | 2020 |
| Content-aware gan compression Y Liu, Z Shu, Y Li, Z Lin, F Perazzi, SY Kung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 7 | 2021 |
| Neural face editing with intrinsic image disentangling S Hadap, E Shechtman, Z Shu, K Sunkavalli, M Yumer US Patent 10,565,758, 2020 | 7 | 2020 |
| Single-image full-body human relighting M Lagunas, X Sun, J Yang, R Villegas, J Zhang, Z Shu, B Masia, ... arXiv preprint arXiv:2107.07259, 2021 | 4 | 2021 |
| Rıza Alp Güler, Dimitris Samaras, Nikos Paragios, and Iasonas Kokkinos. Deforming autoencoders: Unsupervised disentangling of shape and appearance Z Shu, M Sahasrabudhe Computer Vision–ECCV 11214, 664-680, 2018 | 4 | 2018 |
| Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Z Shu, E Yumer, S Hadap, K Sunkavalli, E Shechtman, D Samaras | 4 | 2017 |
| Point-nerf: Point-based neural radiance fields Q Xu, Z Xu, J Philip, S Bi, Z Shu, K Sunkavalli, U Neumann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 3 | 2022 |
| Latent space optimal transport for generative models H Liu, Y Guo, N Lei, Z Shu, ST Yau, D Samaras, X Gu arXiv preprint arXiv:1809.05964, 2018 | 3 | 2018 |
| Learning monocular face reconstruction using multi-view supervision Z Shu, D Ceylan, K Sunkavalli, E Shechtman, S Hadap, D Samaras 2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020 | 2 | 2020 |
Dimitris SamarasStony Brook UniversityVerified email at cs.stonybrook.edu
