| Wasserstein-2 Generative Networks A Korotin, V Egiazarian, A Asadulaev, A Safin, E Burnaev The 9th International Conference on Learning Representations (ICLR 2021), 2019 | 98 | 2019 |
| Deep vectorization of technical drawings V Egiazarian, O Voynov, A Artemov, D Volkhonskiy, A Safin, ... European conference on computer vision, 582-598, 2020 | 63 | 2020 |
| Conformal kernel expected similarity for anomaly detection in time-series data AM Safin, E Burnaev Advances in Systems Science and Applications 17 (3), 22-33, 2017 | 24 | 2017 |
| Multi-neus: 3d head portraits from single image with neural implicit functions E Burkov, R Rakhimov, A Safin, E Burnaev, V Lempitsky IEEE Access, 2023 | 9 | 2023 |
| Multi-sensor large-scale dataset for multi-view 3D reconstruction O Voynov, G Bobrovskikh, P Karpyshev, S Galochkin, AT Ardelean, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
| Repast: Relative pose attention scene representation transformer A Safin, D Duckworth, MSM Sajjadi CVPR 2023 Workshops 3DMV & T4V Spotligh, 2023 | 2 | 2023 |
| CycleGAN-Based Unpaired Speech Dereverberation H Muckenhirn, A Safin, H Erdogan, FC Quitry, M Tagliasacchi, S Wisdom, ... Interspeech 2022, 196-200, 2022 | 1 | 2022 |
| Unpaired Depth Super-Resolution in the Wild A Safin, M Kan, N Drobyshev, O Voynov, A Artemov, A Filippov, D Zorin, ... IEEE Access, 2024, 2021 | 1* | 2021 |
| How good MVSNets are at depth fusion O Voynov, A Safin, S Ignatiev, E Burnaev Thirteenth International Conference on Machine Vision 11605, 119-125, 2021 | 1 | 2021 |
| Finding the Sweet Spot in the City: a Monopolistic Competition Approach E Bespalova, A Moskalenko, A Safin, C Sorokin, A Yagolkovsky | | 2016 |
| Multi-sensor large-scale dataset for multi-view 3D reconstruction Supplementary material O Voynov, G Bobrovskikh, P Karpyshev, S Galochkin, AT Ardelean, ... | | |
