| Efficient decentralized deep learning by dynamic model averaging M Kamp, L Adilova, J Sicking, F Hüger, P Schlicht, T Wirtz, S Wrobel Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 169 | 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 | 102 | 2020 |
| 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 | 59 | 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 | 44 | 2019 |
| The vulnerability of semantic segmentation networks to adversarial attacks in autonomous driving: Enhancing extensive environment sensing A Bar, J Lohdefink, N Kapoor, SJ Varghese, F Huger, P Schlicht, ... IEEE Signal Processing Magazine 38 (1), 42-52, 2020 | 41 | 2020 |
| Unsupervised temporal consistency metric for video segmentation in highly-automated driving S Varghese, Y Bayzidi, A Bar, N Kapoor, S Lahiri, JD Schneider, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 39 | 2020 |
| Using mixture of expert models to gain insights into semantic segmentation S Pavlitskaya, C Hubschneider, M Weber, R Moritz, F Huger, P Schlicht, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 36 | 2020 |
| 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 | 35 | 2019 |
| Safety assurance of machine learning for perception functions S Burton, C Hellert, F Hüger, M Mock, A Rohatschek Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022 | 27 | 2022 |
| 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 | 27 | 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 | 25 | 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 | 25 | 2020 |
| 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 | 24 | 2019 |
| An unsupervised temporal consistency (TC) loss to improve the performance of semantic segmentation networks S Varghese, S Gujamagadi, M Klingner, N Kapoor, A Bar, JD Schneider, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 21 | 2021 |
| 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 | 21 | 2020 |
| 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 | 21 | 2019 |
| 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 | 19 | 2020 |
| 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, 2019 | 16 | 2019 |
| An integrated approach to a safety argumentation for AI-based perception functions in automated driving M Mock, S Scholz, F Blank, F Hüger, A Rohatschek, L Schwarz, T Stauner Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops: DECSoS …, 2021 | 14 | 2021 |
| Focussing learned image compression to semantic classes for V2X applications J Löhdefink, A Bär, NM Schmidt, F Hüger, P Schlicht, T Fingscheidt 2020 IEEE Intelligent Vehicles Symposium (IV), 1641-1648, 2020 | 14 | 2020 |
