| 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 | 52 | 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 | 16 | 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 | 16 | 2018 |
| 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 | 14 | 2019 |
| User interface transfer for driver information systems: a survey and an improved approach F Hüger Third International Conference on Automotive User Interfaces and Interactive …, 2011 | 11 | 2011 |
| 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 | 10 | 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 | 9 | 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, 2019 | 9* | 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 | 6 | 2019 |
| Platform independent applications for in-vehicle infotainment systems via integration of CE devices F Hueger 2012 IEEE Second International Conference on Consumer Electronics-Berlin …, 2012 | 6 | 2012 |
| 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 | 5 | 2019 |
| 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 | 4 | 2019 |
| Achieving reliable vehicle positioning for safety-relevant driver assistance systems using series production sensor technology A Sasse, T Scheide, HG Büsing, P Hecker, B Dornieden, F Hüger, ... ENC GNSS, 2010 | 4 | 2010 |
| 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 | 3 | 2019 |
| Method for operating a mobile device by means of a motor vehicle F Hueger, H Neuner, M Mirtschink US Patent 9,590,809, 2017 | 3 | 2017 |
| 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 |
| 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 | 1 | 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 | 1 | 2020 |
| Approaching Neural Network Uncertainty Realism J Sicking, A Kister, M Fahrland, S Eickeler, F Hüger, S Rüping, P Schlicht, ... NeurIPS 2019 Workshop on Machine Learning for Autonomous Driving (ML4AD), 2019 | 1* | 2019 |
