Peter Schlicht
Peter Schlicht
Volkswagen Group Research
Bestätigte E-Mail-Adresse bei volkswagen.de
Titel
Zitiert von
Zitiert von
Jahr
Efficient decentralized deep learning by dynamic model averaging
M Kamp, L Adilova, J Sicking, F Hüger, P Schlicht, T Wirtz, S Wrobel
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
382018
Unsupervised domain adaptation to improve image segmentation quality both in the source and target domain
JA Bolte, M Kamp, A Breuer, S Homoceanu, P Schlicht, F Huger, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
122019
Application of decision rules for handling class imbalance in semantic segmentation
R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk
arXiv preprint arXiv:1901.08394, 2019
102019
Prediction error meta classification in semantic segmentation: Detection via aggregated dispersion measures of softmax probabilities
M Rottmann, P Colling, TP Hack, R Chan, F Hüger, P Schlicht, ...
arXiv preprint arXiv:1811.00648, 2018
82018
GAN-vs. JPEG2000 image compression for distributed automotive perception: Higher peak SNR does not mean better semantic segmentation
J Löhdefink, A Bär, NM Schmidt, F Hüger, P Schlicht, T Fingscheidt
arXiv preprint arXiv:1902.04311, 2019
7*2019
On the Robustness of Teacher-Student Frameworks for Semantic Segmentation
A Bär, F Hüger, P Schlicht, T Fingscheidt
Proc. of CVPR-Workshops, 1-9, 2019
52019
The attack generator: A systematic approach towards constructing adversarial attacks
F Assion, P Schlicht, F Greßner, W Gunther, F Huger, N Schmidt, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
52019
The ethical dilemma when (not) setting up cost-based decision rules in semantic segmentation
R Chan, M Rottmann, R Dardashti, F Huger, P Schlicht, H Gottschalk
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
42019
On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation
J Löhdefink, A Bär, NM Schmidt, F Hüger, P Schlicht, T Fingscheidt
2019 IEEE Intelligent Vehicles Symposium (IV), 424-431, 2019
32019
Introducing noise in decentralized training of neural networks
L Adilova, N Paul, P Schlicht
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
32018
Amenable groups and a geometric view on unitarisability
P Schlicht
arXiv preprint arXiv:1502.01498, 2015
32015
On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation
A Bar, F Huger, P Schlicht, T Fingscheidt
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
12019
Geometric aspects of similarity problems
M Miglioli, P Schlicht
International Mathematics Research Notices 2018 (23), 7171-7197, 2018
12018
Method And Device For Generating Control Signals To Assist Occupants In A Vehicle
J Schneider, P Schlicht
US Patent App. 16/724,568, 2020
2020
Configuration of a control system for an at least partially autonomous transportation vehicle
F Hüger, P Schlicht, R Moritz
US Patent App. 16/702,799, 2020
2020
METHOD, DEVICE, CENTRAL DEVICE, AND SYSTEM FOR DETECTING DISTRIBUTION SHIFT IN A DATA AND/OR FEATURE DISTRIBUTION OF INPUT DATA
F Hüger, P Schlicht
US Patent App. 16/659,782, 2020
2020
Method And Device For Abstracting A Data Record
P Schlicht, F Hüger
US Patent App. 16/659,727, 2020
2020
Method, apparatus, and computer-readable storage medium having instructions for cancelling a redundancy of two or more redundant modules
P Schlicht, F Hüger
US Patent App. 16/626,836, 2020
2020
Making the relationship between uncertainty estimation and safety less uncertain
V Aravantinos, P Schlicht
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020
2020
Detection of false positive and false negative samples in semantic segmentation
M Rottmann, K Maag, R Chan, F Hüger, P Schlicht, H Gottschalk
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020
2020
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