On detecting adversarial perturbations JH Metzen, T Genewein, V Fischer, B Bischoff
arXiv preprint arXiv:1702.04267, 2017
949 2017 SE (3)-transformers: 3D roto-translation equivariant attention networks F Fuchs, D Worrall, V Fischer, M Welling
Advances in Neural Information Processing Systems 33, 2020
347 2020 Universal adversarial perturbations against semantic image segmentation J Hendrik Metzen, M Chaithanya Kumar, T Brox, V Fischer
Proceedings of the IEEE International Conference on Computer Vision, 2755-2764, 2017
285 2017 Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks. J Wagner, V Fischer, M Herman, S Behnke
ESANN, 2016
223 2016 Adversarial examples for semantic image segmentation V Fischer, MC Kumar, JH Metzen, T Brox
arXiv preprint arXiv:1703.01101, 2017
114 2017 Grid saliency for context explanations of semantic segmentation L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer
Advances in Neural Information Processing Systems, 6462-6473, 2019
28 2019 Neural correlates of spatial working memory load in a delayed match-to-sample saccade task M Raabe, V Fischer, D Bernhardt, MW Greenlee
NeuroImage 71, 84-91, 2013
27 2013 Inverse reinforcement learning of behavioral models for online-adapting navigation strategies M Herman, V Fischer, T Gindele, W Burgard
2015 IEEE International Conference on Robotics and Automation (ICRA), 3215-3222, 2015
26 2015 Does enhanced shape bias improve neural network robustness to common corruptions? CK Mummadi, R Subramaniam, R Hutmacher, J Vitay, V Fischer, ...
arXiv preprint arXiv:2104.09789, 2021
22 2021 Projection unit for a self-directing mobile platform, transport robot and method for operating a self-directing mobile platform I Suessemilch, C Rohrer, R Roesch, C Guenther, Y Von Collani, S Linder, ...
US Patent 9,508,235, 2016
19 2016 Method and device for improving the robustness against “adversarial examples” CK Mummadi, JH Metzen, V Fischer
US Patent 11,055,632, 2021
15 2021 The streaming rollout of deep networks-towards fully model-parallel execution V Fischer, J Köhler, T Pfeil
Advances in Neural Information Processing Systems 31, 4039-4050, 2018
12 2018 Method and device for improving the robustness with respect to “adversarial examples” CK Mummadi, JH Metzen, V Fischer
US Patent 10,824,122, 2020
11 2020 Short-term prediction and multi-camera fusion on semantic grids L Hoyer, P Kesper, A Khoreva, V Fischer
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
10 2019 Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors J Bechtold, M Tatarchenko, V Fischer, T Brox
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
9 2021 On detecting adversarial perturbations J Hendrik Metzen, T Genewein, V Fischer, B Bischoff
ArXiv e-prints, arXiv: 1702.04267, 2017
8 2017 Diagvib-6: A diagnostic benchmark suite for vision models in the presence of shortcut and generalization opportunities E Eulig, P Saranrittichai, CK Mummadi, K Rambach, W Beluch, X Shi, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
6 2021 Group Pruning Using a Bounded- CK Mummadi, T Genewein, D Zhang, T Brox, V Fischer
German Conference on Pattern Recognition, 139-155, 2019
6 2019 Method and device for improving the robustness with respect to “adversarial examples” CK Mummadi, JH Metzen, V Fischer
US Patent 10,331,091, 2019
4 2019 Learning Semantic Prediction using Pretrained Deep Feedforward Networks. J Wagner, V Fischer, M Herman, S Behnke
ESANN, 2017
4 2017 