| 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 | 54 | 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 |
| 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 |
| Risk assessment for machine learning models P Schwerdtner, F Greßner, N Kapoor, F Assion, R Sass, W Günther, ... arXiv preprint arXiv:2011.04328, 2020 | 7 | 2020 |
| 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 |
| Method for recognizing an adversarial disturbance in input data of a neural network N Kapoor, P Schlicht, JS Varghese US Patent App. 16/986,556, 2021 | 1 | 2021 |
| 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 |
| User-guided variable-rate image compression S Bv, SR Nangi, R Gupta, R Jaiswal, N Kapoor, K Kulkarni US Patent App. 17/714,812, 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 |
| Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield DW Wolf, M Ulrich, N Kapoor Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| Classification of AI Modules R Moritz, P Schlicht, F Hüger, N Kapoor US Patent App. 17/638,829, 2022 | | 2022 |
| Method for Assessing a Function-Specific Robustness of a Neural Network N Kapoor, P Schlicht, NM Schmidt US Patent App. 17/612,330, 2022 | | 2022 |
| Methods for Compressing a Neural Network N Kapoor, P Schlicht, JS Varghese, JD Schneider US Patent App. 17/639,713, 2022 | | 2022 |
| Method for Making a Neural Network More Robust in a Function-Specific Manner N Kapoor, P Schlicht, NM Schmidt US Patent App. 17/612,241, 2022 | | 2022 |
Peter SchlichtVolkswagen Group Research, CARIADVerified email at cariad.technology
