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.

O.  Ghori, Mackowiak, R., Bautista, M., Beuter, N., Drumond, L., Diego, F., and Ommer, B., ?Learning to Forecast Pedestrian Intention from Pose Dynamics?, in Intelligent Vehicles, IEEE, 2018, 2018.

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.

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.

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.

P.  Yarlagadda, Eigenstetter, A., and Ommer, B., ?Learning Discriminative Chamfer Regularization?, in BMVC, 2012, p. 1--11.

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.

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.

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.

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.