| 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 | 90 | 2019 |
| 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 | 15 | 2021 |
| Motion flow matching for human motion synthesis and editing VT Hu, W Yin, P Ma, Y Chen, B Fernando, YM Asano, E Gavves, P Mettes, ... arXiv preprint arXiv:2312.08895, 2023 | 7 | 2023 |
| Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning D Kotovenko, P Ma, T Milbich, B Ommer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Boosting Latent Diffusion with Flow Matching JS Fischer, M Gui, P Ma, N Stracke, SA Baumann, B Ommer arXiv preprint arXiv:2312.07360, 2023 | | 2023 |
Björn OmmerProfessor, Computer Vision & Learning Group (CompVis), University of Munich在 uni-heidelberg.de 的电子邮件经过验证
