Publications
2019
Lorenz, D, Bereska, L, Milbich, T and Ommer, B (2019).
Unsupervised Part-Based Disentangling of Object Shape and Appearance.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral + Best paper finalist: top 45 / 5160 submissions) Kotovenko, D, Sanakoyeu, A, Lang, S, Ma, P and Ommer, B (2019).
Using a Transformation Content Block For Image Style Transfer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
Milbich, T, Roth, K, Bharadhwaj, H, Sinha, S, Bengio, Y, Ommer, B and Cohen, J Paul (2020).
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning.
IEEE European Conference on Computer Vision (ECCV).
https://arxiv.org/abs/2004.13458 Roth, K, Milbich, T, Sinha, S, Gupta, P, Ommer, B and Cohen, J Paul (2020).
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning.
International Conference on Machine Learning (ICML).
https://arxiv.org/pdf/2002.08473.pdf Dorkenwald, M, Büchler, U and Ommer, B (2020).
Unsupervised Magnification of Posture Deviations Across Subjects.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) article.pdf (1.15 MB) 2021
Milbich, T, Roth, K, Sinha, S, Schmidt, L, Ghassemi, M and Ommer, B (2021).
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning.
https://arxiv.org/abs/2107.09562 Pages