| 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 | 57 | 2018 |
| CliqueCNN: Deep Unsupervised Exemplar Learning MA Bautista, A Sanakoyeu, E Sutter, B Ommer Advances In Neural Information Processing Systems, 3846-3854, 2016 | 52 | 2016 |
| Divide and conquer the embedding space for metric learning A Sanakoyeu, V Tschernezki, U Buchler, B Ommer Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 32 | 2019 |
| Content and style disentanglement for artistic style transfer D Kotovenko, A Sanakoyeu, S Lang, B Ommer Proceedings of the IEEE International Conference on Computer Vision, 4422-4431, 2019 | 26 | 2019 |
| 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 | 25 | 2017 |
| 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 | 16* | 2019 |
| Deep unsupervised learning of visual similarities A Sanakoyeu, MA Bautista, B Ommer Pattern Recognition 78, 331-343, 2018 | 16 | 2018 |
| A content transformation block for image style transfer D Kotovenko, A Sanakoyeu, P Ma, S Lang, B Ommer Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 14 | 2019 |
| 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 | 3 | 2020 |
| Self-supervised Depth Denoising Using Lower-and Higher-quality RGB-D sensors A Shabanov, I Krotov, N Chinaev, V Poletaev, S Kozlukov, I Pasechnik, ... arXiv preprint arXiv:2009.04776, 2020 | | 2020 |
Björn OmmerProfessor for Scientific Computing, Heidelberg UniversityVerified email at uni-heidelberg.de
