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Björn Ommer
Björn Ommer
Professor, Computer Vision & Learning Group (CompVis), University of Munich
Dirección de correo verificada de uni-heidelberg.de - Página principal
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Taming transformers for high-resolution image synthesis
P Esser, R Rombach, B Ommer
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
5532021
High-resolution image synthesis with latent diffusion models
R Rombach, A Blattmann, D Lorenz, P Esser, B Ommer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
4152022
A variational u-net for conditional appearance and shape generation
P Esser, E Sutter, B Ommer
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3942018
Asynchronous therapy restores motor control by rewiring of the rat corticospinal tract after stroke
AS Wahl, W Omlor, JC Rubio, JL Chen, H Zheng, A Schröter, M Gullo, ...
Science 344 (6189), 1250-1255, 2014
3172014
Video Parsing for Abnormality Detection
B Antic, B Ommer
ICCV, 2011
172*2011
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
1712018
Unsupervised part-based disentangling of object shape and appearance
D Lorenz, L Bereska, T Milbich, B Ommer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1312019
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
1142019
Improving spatiotemporal self-supervision by deep reinforcement learning
U Buchler, B Brattoli, B Ommer
Proceedings of the European conference on computer vision (ECCV), 770-786, 2018
1122018
Cliquecnn: Deep unsupervised exemplar learning
MA Bautista, A Sanakoyeu, E Tikhoncheva, B Ommer
Advances in Neural Information Processing Systems 29, 2016
1102016
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
1052019
Revisiting training strategies and generalization performance in deep metric learning
K Roth, T Milbich, S Sinha, P Gupta, B Ommer, JP Cohen
International Conference on Machine Learning, 8242-8252, 2020
1032020
Multi-scale object detection by clustering lines
B Ommer, J Malik
2009 IEEE 12th International Conference on Computer Vision, 484-491, 2009
1032009
Learning the compositional nature of visual object categories for recognition
B Ommer, J Buhmann
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (3), 501-516, 2009
952009
Cross and learn: Cross-modal self-supervision
N Sayed, B Brattoli, B Ommer
Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019
802019
Deep semantic feature matching
N Ufer, B Ommer
Proceedings of the IEEE conference on computer vision and pattern …, 2017
782017
Mic: Mining interclass characteristics for improved metric learning
K Roth, B Brattoli, B Ommer
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
772019
Learning the compositional nature of visual objects
B Ommer, JM Buhmann
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
652007
Optogenetically stimulating intact rat corticospinal tract post-stroke restores motor control through regionalized functional circuit formation
AS Wahl, U Büchler, A Brändli, B Brattoli, S Musall, H Kasper, BV Ineichen, ...
Nature communications 8 (1), 1187, 2017
642017
Voting by Grouping Dependent Parts.
P Yarlagadda, A Monroy, B Ommer
ECCV (5), 197-210, 2010
642010
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Artículos 1–20