| A style-aware content loss for real-time hd style transfer A Sanakoyeu, D Kotovenko, S Lang, B Ommer proceedings of the European conference on computer vision (ECCV), 698-714, 2018 | 265 | 2018 |
| Content and style disentanglement for artistic style transfer D Kotovenko, A Sanakoyeu, S Lang, B Ommer Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 182 | 2019 |
| Divide and conquer the embedding space for metric learning A Sanakoyeu, V Tschernezki, U Buchler, B Ommer Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019 | 159 | 2019 |
| CliqueCNN: Deep Unsupervised Exemplar Learning MA Bautista, A Sanakoyeu, E Sutter, B Ommer Advances In Neural Information Processing Systems, 3846-3854, 2016 | 126 | 2016 |
| A content transformation block for image style transfer D Kotovenko, A Sanakoyeu, P Ma, S Lang, B Ommer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 100 | 2019 |
| Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks Y Babakhin, A Sanakoyeu, H Kitamura German Conference on Pattern Recognition (GCPR), 218-231, 2019 | 98* | 2019 |
| Avatars grow legs: Generating smooth human motion from sparse tracking inputs with diffusion model Y Du, R Kips, A Pumarola, S Starke, A Thabet, A Sanakoyeu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 77 | 2023 |
| Transferring dense pose to proximal animal classes A Sanakoyeu, V Khalidov, MS McCarthy, A Vedaldi, N Neverova Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2020 | 70 | 2020 |
| Motioncnn: A strong baseline for motion prediction in autonomous driving S Konev, K Brodt, A Sanakoyeu arXiv preprint arXiv:2206.02163, 2022 | 42 | 2022 |
| Deep unsupervised learning of visual similarities A Sanakoyeu, MA Bautista, B Ommer Pattern Recognition 78, 331-343, 2018 | 40 | 2018 |
| Deep unsupervised similarity learning using partially ordered sets MA Bautista, A Sanakoyeu, B Ommer Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 34 | 2017 |
| Discovering relationships between object categories via universal canonical maps N Neverova, A Sanakoyeu, P Labatut, D Novotny, A Vedaldi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 23 | 2021 |
| Cache me if you can: Accelerating diffusion models through block caching F Wimbauer, B Wu, E Schoenfeld, X Dai, J Hou, Z He, A Sanakoyeu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 18 | 2024 |
| Bodiffusion: Diffusing sparse observations for full-body human motion synthesis A Castillo, M Escobar, G Jeanneret, A Pumarola, P Arbeláez, A Thabet, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 18 | 2023 |
| Improving deep metric learning by divide and conquer A Sanakoyeu, P Ma, V Tschernezki, B Ommer IEEE Transactions on pattern analysis and machine intelligence 44 (11), 8306 …, 2021 | 18 | 2021 |
| Visco grids: Surface reconstruction with viscosity and coarea grids A Pumarola, A Sanakoyeu, L Yariv, A Thabet, Y Lipman Advances in Neural Information Processing Systems 35, 18060-18071, 2022 | 17 | 2022 |
| Re-rend: Real-time rendering of nerfs across devices S Rojas, J Zarzar, JC Pérez, A Sanakoyeu, A Thabet, A Pumarola, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 15 | 2023 |
| Imagine flash: Accelerating emu diffusion models with backward distillation J Kohler, A Pumarola, E Schönfeld, A Sanakoyeu, R Sumbaly, P Vajda, ... arXiv preprint arXiv:2405.05224, 2024 | 14 | 2024 |
| Movie gen: A cast of media foundation models A Polyak, A Zohar, A Brown, A Tjandra, A Sinha, A Lee, A Vyas, B Shi, ... arXiv preprint arXiv:2410.13720, 2024 | 6 | 2024 |
| Self-supervised depth denoising using lower-and higher-quality RGB-d sensors A Shabanov, I Krotov, N Chinaev, V Poletaev, S Kozlukov, I Pasechnik, ... 2020 International Conference on 3D Vision (3DV), 743-752, 2020 | 4 | 2020 |
Björn OmmerProfessor, Computer Vision & Learning Group (CompVis), University of Munich在 uni-heidelberg.de 的電子郵件地址已通過驗證