| 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 | 242 | 2014 |
| 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 | 213 | 2018 |
| Video Parsing for Abnormality Detection B Antic, B Ommer ICCV, 2011 | 144* | 2011 |
| Multi-scale object detection by clustering lines B Ommer, J Malik 2009 IEEE 12th International Conference on Computer Vision, 484-491, 2009 | 100 | 2009 |
| 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 | 91 | 2009 |
| 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 | 72 | 2018 |
| Learning the compositional nature of visual objects B Ommer, JM Buhmann 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 66 | 2007 |
| Cliquecnn: Deep unsupervised exemplar learning MA Bautista, A Sanakoyeu, E Sutter, B Ommer arXiv preprint arXiv:1608.08792, 2016 | 63 | 2016 |
| Voting by grouping dependent parts P Yarlagadda, A Monroy, B Ommer European Conference on Computer Vision, 197-210, 2010 | 60 | 2010 |
| 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 | 59 | 2018 |
| 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 | 58 | 2019 |
| 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 | 55 | 2009 |
| Deep semantic feature matching N Ufer, B Ommer Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 53 | 2017 |
| Learning compositional categorization models B Ommer, JM Buhmann European Conference on Computer Vision, 316-329, 2006 | 52 | 2006 |
| 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 | 47 | 2019 |
| 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 | 41 | 2019 |
| 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 | 37 | 2017 |
| Learning latent constituents for recognition of group activities in video B Antic, B Ommer European Conference on Computer Vision, 33-47, 2014 | 36 | 2014 |
| 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 | 35 | 2007 |
| 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), 1-16, 2017 | 34 | 2017 |
