| 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: Robustness, Uncertainty …, 2022 | 53 | 2022 |
| 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 | 32 | 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 | 31 | 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 | 20 | 2020 |
| 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 | 16 | 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 | 14 | 2021 |
| 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 | 9 | 2021 |
| 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 | 6 | 2022 |
| 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, ... Proceedings of the 4th ACM Computer Science in Cars Symposium, 1-8, 2020 | 5 | 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 | 2 | 2022 |
| A Method for Controlling a Driver Assistance System During Operation of a Vehicle N Kapoor, JD Schneider, S Varghese US Patent App. 18/043,449, 2023 | | 2023 |
| Methods, systems and computer programs for processing image data for generating a filter N Kapoor, P Schlicht, S Varghese, T Fingscheidt US Patent App. 18/022,709, 2023 | | 2023 |
| Method For Training A Neural Network For Semantic Image Segmentation S Varghese, F Hüger, Y Bayzidi, S Gujamagadi US Patent App. 17/824,368, 2022 | | 2022 |
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