Prof. Dr. 

Thomas Brox

Department of Computer Science, Faculty of Engineering, University of Freiburg
Georges-Köhler-Allee 052, 79110 Freiburg


Selected Publications

Schrodi S, Saikia T, and Brox T. Towards understanding adversarial robustness of optical flow networks. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’22). IEEE, 2022:8906–8914.

Mittal S, Tatarchenko M, and Brox T. Semi-supervised semantic segmentation with high- and low-level consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence 2021;43:1369–1379.

Ging S, Zolfaghari M, Pirsiavash H, and Brox T. COOT: Cooperative hierarchical transformer for video-text representation learning. In: Advances in Neural Information Processing Systems 33 (NeurIPS’20). Ed. by Larochelle H, Ranzato M, Hadsell R, Balcan M, and Lin H. 2020:22605–22618.

Nguyen DT, Mummadi CK, Ngo TPN, Nguyen THP, Beggel L, and Brox T. SELF: Learning to filter noisy labels with self-ensembling. In: International Conference on Learning Representations (ICLR’20). 2020. URL:

Zhou H, Ummenhofer B, and Brox T. DeepTAM: Deep tracking and mapping with convolutional neural networks. International Journal of Computer Vision 2020;128:756–769.

Falk T, Mai D, Bensch R, Çiçek Ö, Abdulkadir A, Marrakchi Y, Böhm A, […], Brox T, and Ronneberger O. U-Net: Deep learning for cell counting, detection, and morphometry. Nature Methods 2019;16:67–70.

Makansi O, Ilg E, Çiçek Ö, and Brox T. Overcoming limitations of mixture density networks: A sampling and fitting framework for multimodal future prediction. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’19). IEEE, 2019:7137–7146.

Nguyen DT, Lou Z, Klar M, and Brox T. Anomaly detection with multiple-hypotheses predictions. In: Proceedings of the 36th International Conference on Machine Learning (ICML’19). Ed. by Chaudhuri K and Salakhutdinov R. Vol. 97. PMLR, 2019:4800–4809.

Dosovitskiy A and Brox T. Generating images with perceptual similarity metrics based on deep networks. In: Advances in Neural Information Processing Systems 29 (NIPS’16). Ed. by Lee D, Sugiyama M, Luxburg U, Guyon I, and Garnett R. 2016:658–666.

Dosovitskiy A, Fischer P, Ilg E, Häusser P, Hazirbas C, Golkov V, Smagt Pvd, Cremers D, and Brox T. FlowNet: Learning optical flow with convolutional networks. In: IEEE International Conference on Computer Vision (ICCV’15). 2015:2758–2766.

Administrative Manager

Marc Schumacher

Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center –
University of Freiburg