| 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 | 38 | 2018 |
| 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 | 12 | 2019 |
| 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 | 10 | 2019 |
| 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 | 8 | 2018 |
| 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 | 5 | 2019 |
| 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 | 5 | 2019 |
| 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 | 4 | 2019 |
| 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 | 3 | 2019 |
| 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 | 3 | 2018 |
| Amenable groups and a geometric view on unitarisability P Schlicht arXiv preprint arXiv:1502.01498, 2015 | 3 | 2015 |
| 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 | 1 | 2019 |
| Geometric aspects of similarity problems M Miglioli, P Schlicht International Mathematics Research Notices 2018 (23), 7171-7197, 2018 | 1 | 2018 |
| 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 |
