Publications by E. Rusak


S. Schneider, E. Rusak, L. Eck, O. Bringmann, W. Brendel, and M. Bethge
Removing covariate shift improves robustness against common corruptions
arXiv, 2020
#domain adaptation, #covariate shift, #robustness, #deep learning, #computer vision, #benchmarking
Code, URL, Workshop Paper, BibTex

Conference Papers

E. Rusak, L. Schott, R. Zimmermann, J. Bitterwolf, O. Bringmann, M. Bethge, and W. Brendel
A simple way to make neural networks robust against diverse image corruptions
European Conference on Computer Vision (ECCV), 2020
URL, BibTex
C. Michaelis, B. Mitzkus, R. Geirhos, E. Rusak, O. Bringmann, A. S. Ecker, M. Bethge, and W. Brendel
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Machine Learning for Autonomous Driving Workshop, NeurIPS 2019, 2019
Code, URL, BibTex
University of Tuebingen BCCN CIN MPI