Publications
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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.
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K. Roth, Milbich, T., Ommer, B., Cohen, J. Paul, and Ghassemi, M.,
“S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning”,
Proceedings of International Conference on Machine Learning (ICML). 2021.
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M. Amirul Islam, Kowal, M., Esser, P., Jia, S., Ommer, B., Derpanis, K. G., and Bruce, N.,
“Shape or Texture: Understanding Discriminative Features in CNNs”,
International Conference on Learning Representations (ICLR). 2021.
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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.
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B. Brattoli, Büchler, U., Dorkenwald, M., Reiser, P., Filli, L., Helmchen, F., Wahl, A. - S., and Ommer, B.,
“Unsupervised behaviour analysis and magnification (uBAM) using deep learning”,
Nature Machine Intelligence, 2021.
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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.
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T. Milbich, Roth, K., Bharadhwaj, H., Sinha, S., Bengio, Y., Ommer, B., and Cohen, J. Paul,
“DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning”,
IEEE European Conference on Computer Vision (ECCV). 2020.
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K. Roth, Milbich, T., Sinha, S., Gupta, P., Ommer, B., and Cohen, J. Paul,
“Revisiting Training Strategies and Generalization Performance in Deep Metric Learning”,
International Conference on Machine Learning (ICML). 2020.
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