Björn Ommer
Björn Ommer
Professor for Scientific Computing, Heidelberg University
Verified email at uni-heidelberg.de - Homepage
Title
Cited by
Cited by
Year
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
2102014
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
1352018
Video Parsing for Abnormality Detection
B Antic, B Ommer
ICCV, 2011
118*2011
Multi-scale object detection by clustering lines
B Ommer, J Malik
2009 IEEE 12th International Conference on Computer Vision, 484-491, 2009
972009
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
862009
Learning the compositional nature of visual objects
B Ommer, JM Buhmann
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
612007
Voting by grouping dependent parts
P Yarlagadda, A Monroy, B Ommer
European Conference on Computer Vision, 197-210, 2010
582010
Learning compositional categorization models
B Ommer, JM Buhmann
European Conference on Computer Vision, 316-329, 2006
542006
Seeing the objects behind the dots: Recognition in videos from a moving camera
B Ommer, T Mader, JM Buhmann
International journal of computer vision 83 (1), 57-71, 2009
522009
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
472018
Cliquecnn: Deep unsupervised exemplar learning
MA Bautista, A Sanakoyeu, E Tikhoncheva, B Ommer
Advances in Neural Information Processing Systems, 3846-3854, 2016
472016
Deep semantic feature matching
N Ufer, B Ommer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
362017
Unsupervised part-based disentangling of object shape and appearance
D Lorenz, L Bereska, T Milbich, B Ommer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
342019
Nonnegative CCA for audiovisual source separation
C Sigg, B Fischer, B Ommer, V Roth, J Buhmann
2007 IEEE Workshop on Machine Learning for Signal Processing, 253-258, 2007
342007
Learning latent constituents for recognition of group activities in video
B Antic, B Ommer
European Conference on Computer Vision, 33-47, 2014
322014
Lstm self-supervision for detailed behavior analysis
B Brattoli, U Buchler, AS Wahl, ME Schwab, B Ommer
Proceedings of the IEEE conference on computer vision and pattern …, 2017
292017
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
272018
From meaningful contours to discriminative object shape
P Yarlagadda, B Ommer
European Conference on Computer Vision, 766-779, 2012
242012
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
232017
Exploiting low-level image segmentation for object recognition
V Roth, B Ommer
Joint Pattern Recognition Symposium, 11-20, 2006
232006
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Articles 1–20