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Volker Fischer
Volker Fischer
Bosch Center for Artificial Intelligence
Bestätigte E-Mail-Adresse bei de.bosch.com
Titel
Zitiert von
Zitiert von
Jahr
On detecting adversarial perturbations
JH Metzen, T Genewein, V Fischer, B Bischoff
arXiv preprint arXiv:1702.04267, 2017
8352017
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
2482017
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
2062020
Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks.
J Wagner, V Fischer, M Herman, S Behnke
ESANN, 2016
1812016
Adversarial examples for semantic image segmentation
V Fischer, MC Kumar, JH Metzen, T Brox
arXiv preprint arXiv:1703.01101, 2017
992017
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
252013
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
222015
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
212019
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
172016
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
132018
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
112021
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
92021
On detecting adversarial perturbations
J Hendrik Metzen, T Genewein, V Fischer, B Bischoff
ArXiv e-prints, arXiv: 1702.04267, 2017
92017
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
72019
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
52021
Group Pruning Using a Bounded- Norm for Group Gating and Regularization
CK Mummadi, T Genewein, D Zhang, T Brox, V Fischer
German Conference on Pattern Recognition, 139-155, 2019
52019
Learning Semantic Prediction using Pretrained Deep Feedforward Networks.
J Wagner, V Fischer, M Herman, S Behnke
ESANN, 2017
42017
Eye Movement Quantification in Functional MRI Data by Spatial Independent Component Analysis
IR Keck, V Fischer, CG Puntonet, EW Lang
International Conference on Independent Component Analysis and Signal …, 2009
42009
Method and device for improving the robustness against “adversarial examples”
CK Mummadi, JH Metzen, V Fischer
US Patent 11,055,632, 2021
22021
Method and device for improving the robustness with respect to “adversarial examples”
CK Mummadi, JH Metzen, V Fischer
US Patent 10,824,122, 2020
22020
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