| Inspect, understand, overcome: a survey of practical methods for AI safety S Houben, S Abrecht, M Akila, A Bär, F Brockherde, P Feifel, ... Deep Neural Networks and Data for Automated Driving, 3-78, 2022 | 26 | 2022 |
| 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 | 16 | 2020 |
| 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 | 14 | 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 | 13 | 2020 |
| Improving video instance segmentation by light-weight temporal uncertainty estimates K Maag, M Rottmann, S Varghese, F Hüger, P Schlicht, H Gottschalk 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 6 | 2021 |
| From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation N Kapoor, A Bär, S Varghese, JD Schneider, F Hüger, P Schlicht, ... 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 5 | 2021 |
| 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 | 2 | 2021 |
| A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs N Kapoor, C Yuan, J Löhdefink, R Zimmerman, S Varghese, F Hüger, ... Computer Science in Cars Symposium, 1-8, 2020 | 2 | 2020 |
| Joint optimization for DNN model compression and corruption robustness S Varghese, C Hümmer, A Bär, F Hüger, T Fingscheidt Deep Neural Networks and Data for Automated Driving, 405, 2022 | 1 | 2022 |
| Traffic Sign Classifiers Under Physical World Realistic Sticker Occlusions: A Cross Analysis Study Y Bayzidi, A Smajic, F Hüger, R Moritz, S Varghese, P Schlicht, A Knoll 2022 IEEE Intelligent Vehicles Symposium (IV), 644-650, 2022 | | 2022 |
Fabian HügerResearcher, Volkswagen AGVerified email at volkswagen.de
