Publications

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[ Author(Desc)] Title Type Year
Filters: Author is Björn Ommer
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B
A. Blattmann, Milbich, T., Dorkenwald, M., and Ommer, B., Behavior-Driven Synthesis of Human Dynamics, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.
S
A. Sanakoyeu, Ma, P., Tschernezki, V., and Ommer, B., Improving Deep Metric Learning by Divide and Conquer, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
A
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.
K
D. Kotovenko, Wright, M., Heimbrecht, A., and Ommer, B., Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.
D
M. Dorkenwald, Milbich, T., Blattmann, A., Rombach, R., Derpanis, K. G., and Ommer, B., Stochastic Image-to-Video Synthesis usin cINNs, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.
E
P. Esser, Rombach, R., and Ommer, B., Taming Transformers for High-Resolution Image Synthesis, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.
E
P. Esser, Rombach, R., and Ommer, B., A Disentangling Invertible Interpretation Network for Explaining Latent Representations, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2020.PDF icon Article (13.07 MB)
E
P. Esser, Rombach, R., and Ommer, B., A Note on Data Biases in Generative Models, in NeurIPS 2020 Workshop on Machine Learning for Creativity and Design, 2020.
M
T. Milbich, Roth, K., and Ommer, B., PADS: Policy-Adapted Sampling for Visual Similarity Learning, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, vol. 1, no. 1.
M
T. Milbich, Roth, K., Brattoli, B., and Ommer, B., Sharing Matters for Generalization in Deep Metric Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
D
M. Dorkenwald, Büchler, U., and Ommer, B., Unsupervised Magnification of Posture Deviations Across Subjects, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2020.PDF icon article.pdf (1.15 MB)
B
S. Braun, Esser, P., and Ommer, B., Unsupervised Part Discovery by Unsupervised Disentanglement, Proceedings of the German Conference on Pattern Recognition (GCPR) (Oral). Tübingen, 2020.
S
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.

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