T.  Milbich, Roth, K., Sinha, S., Schmidt, L., Ghassemi, M., and Ommer, B., ?Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning?. 2021.

D.  Kotovenko, Sanakoyeu, A., Lang, S., and Ommer, B., ?Content and Style Disentanglement for Artistic Style Transfer?, in Proceedings of the Intl. Conf. on Computer Vision (ICCV), 2019.

P.  Bell and Ommer, B., ?Computer Vision und Kunstgeschichte ? Dialog zweier Bildwissenschaften?, in Computing Art Reader: Einführung in die digitale Kunstgeschichte, P. Kuroczyn?ski et al. (ed.), 2018.

N.  Sayed, Brattoli, B., and Ommer, B., ?Cross and Learn: Cross-Modal Self-Supervision?, in German Conference on Pattern Recognition (GCPR) (Oral), Stuttgart, Germany, 2018.

M.  Bautista, Sanakoyeu, A., Sutter, E., and Ommer, B., ?CliqueCNN: Deep Unsupervised Exemplar Learning?, in Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS), Barcelona, 2016.

J.  Schlecht and Ommer, B., ?Contour-based Object Detection?, in BMVC, 2011, p. 1--9.

S. V. E.  Keränen, DePace, A., Hendriks, C. L. Luengo, Fowlkes, C., Arbelaez, P., Ommer, B., Brox, T., Henriquez, C., Wunderlich, Z., Eckenrode, K., Fischer, B., Hammonds, A., and Celniker, S. E., ?Computational Analysis of Quantitative Changes in Gene Expression and Embryo Morphology between Species?, in Evolution-The Molecular Landscape, 2009.

B.  Ommer and Buhmann, J. M., ?Compositional Object Recognition, Segmentation, and Tracking in Video?, in Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007, vol. 4679, p. 318--333.

B.  Ommer and Buhmann, J. M., ?A Compositionality Architecture for Perceptual Feature Grouping?, in Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003, vol. 2683, p. 275--290.