| 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 | 60 | 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/CVF Conference on Computer Vision and Pattern …, 2019 | 18 | 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, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020 | 17 | 2020 |
| 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 | 16 | 2019 |
| On the robustness of redundant teacher-student frameworks for semantic segmentation A Bar, F Huger, P Schlicht, T Fingscheidt Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 13 | 2019 |
| 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 | 10* | 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/CVF Conference on Computer Vision and Pattern …, 2019 | 10 | 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 | 7 | 2019 |
| Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation. arXiv preprint. arXiv:. 08394 R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk | 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/CVF Conference on Computer Vision and Pattern …, 2019 | 5 | 2019 |
| Method for processing sensor data in multiple control units, preprocessing unit, and transportation vehicle P Schlicht, S Scholz US Patent 10,922,557, 2021 | 4 | 2021 |
| Metafusion: Controlled false-negative reduction of minority classes in semantic segmentation R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk arXiv preprint arXiv:1912.07420, 2019 | 4 | 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 |
| Quality Assurance for Machine Learning–an approach to function and system safeguarding A Poth, B Meyer, P Schlicht, A Riel 2020 IEEE 20th International Conference on Software Quality, Reliability and …, 2020 | 2 | 2020 |
| Controlled false negative reduction of minority classes in semantic segmentation R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 2 | 2020 |
| Strategy to increase the safety of a dnn-based perception for HAD systems T Sämann, P Schlicht, F Hüger arXiv preprint arXiv:2002.08935, 2020 | 2 | 2020 |
| Self-Supervised Domain Mismatch Estimation for Autonomous Perception J Lohdefink, J Fehrling, M Klingner, F Huger, P Schlicht, NM Schmidt, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 2 | 2020 |
| Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote A Bar, M Klingner, S Varghese, F Huger, P Schlicht, T Fingscheidt Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 2 | 2020 |
| Approaching neural network uncertainty realism J Sicking, A Kister, M Fahrland, S Eickeler, F Hüger, S Rüping, P Schlicht, ... arXiv preprint arXiv:2101.02974, 2021 | 1 | 2021 |
