Publications

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2021
M. Afifi, Derpanis, K. G., Ommer, B., and Brown, M. S., Learning Multi-Scale Photo Exposure Correction, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
2017
M. Bautista, Fuchs, P., and Ommer, B., Learning Where to Drive by Watching Others, Proceedings of the German Conference Pattern Recognition, vol. 1. Springer-Verlag, Basel, 2017.
B. Brattoli, Büchler, U., Wahl, A. - S., Schwab, M. E., and Ommer, B., LSTM Self-Supervision for Detailed Behavior Analysis, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.PDF icon Article (8.75 MB)
2014
B. Antic and Ommer, B., Learning Latent Constituents for Recognition of Group Activities in Video, in Proceedings of the European Conference on Computer Vision (ECCV) (Oral), 2014, p. 33--47.PDF icon Technical Report (4.54 MB)
2013
B. Antic, Milbich, T., and Ommer, B., Less is More: Video Trimming for Action Recognition, in Proceedings of the IEEE International Conference on Computer Vision, Workshop on Understanding Human Activities: Context and Interaction, 2013, p. 515--521.PDF icon Technical Report (984.89 KB)
2010
B. Ommer and Buhmann, J. M., Learning the Compositional Nature of Visual Object Categories for Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, p. 501--516, 2010.PDF icon Technical Report (2.78 MB)
2007
B. Ommer and Buhmann, J. M., Learning the Compositional Nature of Visual Objects, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2007, p. 1--8.PDF icon Technical Report (2.78 MB)
2006
B. Ommer and Buhmann, J. M., Learning Compositional Categorization Models, in Proceedings of the European Conference on Computer Vision, 2006, vol. 3953, p. 316--329.PDF icon Technical Report (1.35 MB)
B. Ommer, Sauter, M., and M., B. J., Learning Top-Down Grouping of Compositional Hierarchies for Recognition, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Perceptual Organization in Computer Vision, 2006, p. 194--194.PDF icon Technical Report (358.98 KB)