T.  Dencker, Klinkisch, P., Maul, S. M., and Ommer, B., ?Deep learning of cuneiform sign detection with weak supervision using transliteration alignment?, PLoS ONE, vol. 15, no. 12, 2020.

J.  Kleesiek, Morshuis, J. Nikolas, Isensee, F., Deike-Hofmann, K., Paech, D., Kickingereder, P., Köthe, U., Rother, C., Forsting, M., Wick, W., Bendszus, M., Schlemmer, H. Peter, and Radbruch, A., ?Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study?, Investigative Radiology, vol. 54, pp. 653?660, 2019.

A.  Sanakoyeu, Tschernezki, V., Büchler, U., and Ommer, B., ?Divide and Conquer the Embedding Space for Metric Learning?,  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019.

T.  Leistner, Schilling, H., Mackowiak, R., Gumhold, S., and Rother, C., ?Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift?, in Proceedings - 2019 International Conference on 3D Vision, 3DV 2019, 2019, pp. 249?257.

A.  Arnab, Zheng, S., Jayasumana, S., Romera-paredes, B., Kirillov, A., Savchynskyy, B., Rother, C., Kahl, F., and Torr, P., ?Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation?, Cvpr, vol. XX, pp. 1?15, 2018.

A.  Sanakoyeu, Kotovenko, D., Lang, S., and Ommer, B., ?A Style-Aware Content Loss for Real-time HD Style Transfer?, in Proceedings of the European Conference on Computer Vision (ECCV) (Oral), 2018.

O.  Blum, Brattoli, B., and Ommer, B., ?X-GAN: Improving Generative Adversarial Networks with ConveX Combinations?, in German Conference on Pattern Recognition (GCPR) (Oral), Stuttgart, Germany, 2018.