Evgenia Rusak
Evgenia Rusak
University of Tübingen
Dpt. of Computer Science
Embedded Systems
Sand 13
72076 Tübingen
Germany
- Telephone
- +49 - (0) 70 71 - 29 - 78997
- Telefax
- +49 - (0) 70 71 - 29 - 50 62
- Office
- Sand 13, B201
- Office hours
- by appointment
Research Interests
To enable a future where autonomous cars can replace human drivers, we have to ensure that the autonomous agents make the right decisions at all times. In particular, bad weather scenarios currently pose a big problem for important tasks such as object detection and scene understanding. In my PhD, I work on improving the robustness of Deep Neural Nets to natural distortions such as rain or snow.
Publications
2021
Adapting ImageNet-Scale Models to Complex Distribution Shifts with Self-Learning
by Evgenia Rusak, Steffen Schneider, Peter Gehler, Oliver Bringmann, Wieland Brendel, and Matthias BethgeIn arXiv preprint arXiv:2104.12928, 2021.
2020
A Simple Way to Make Neural Networks Robust against Diverse Image Corruptions
by Evgenia Rusak, Lukas Schott, Roland S Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, and Wieland BrendelIn European Conference on Computer Vision, pages 53–69. Springer, Cham, 2020.
Increasing the Robustness of DNNs against Image Corruptions by Playing the Game of Noise
by Evgenia Rusak, Lukas Schott, Roland S Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, and Wieland BrendelPeer-reviewed publication, 2020.
Improving Robustness against Common Corruptions by Covariate Shift Adaptation
by Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, and Matthias BethgeIn Advances in Neural Information Processing Systems 33, 2020.
2019
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
by Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, and Wieland BrendelIn CoRR abs/1907.07484, 2019.
2018
An Artificial Neural Network for Automated Fault Detection
by Evgenia Rusak, Julian Bitterwolf, Sebastian Reiter, Alexander Viehl, and Oliver BringmannPeer-reviewed publication, pages 141–147, 2018.
Research projects
Teaching
Advanced Topics in Embedded Systems | Summer 2019 |
---|---|
Efficient Machine Learning in Hardware | Summer 2021 Summer 2022 |
Moderne Architekturen Eingebetteter Systeme | Winter 2019 Winter 2020 |
Proseminar: Moderne Architekturen Eingebetteter Systeme | Winter 2021 |