| Inspect, understand, overcome: a survey of practical methods for AI safety S Houben, S Abrecht, M Akila, A Bär, F Brockherde, P Feifel, ... arXiv preprint arXiv:2104.14235, 2021 | 26 | 2021 |
| 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 |
| 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 |
| Risk assessment for machine learning models P Schwerdtner, F Greßner, N Kapoor, F Assion, R Sass, W Günther, ... arXiv preprint arXiv:2011.04328, 2020 | 3 | 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 | 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 |
| 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 |
| User-Guided Variable Rate Learned Image Compression R Gupta, S BV, N Kapoor, R Jaiswal, SR Nangi, K Kulkarni Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | | 2022 |
| 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 | | 2021 |
| Supplementary: User-Guided Variable Rate Learned Image Compression R Gupta, BV Suryateja, N Kapoor, R Jaiswal, S Nangi, K Kulkarni | | |
Peter SchlichtVolkswagen Group Research, CARIADVerified email at cariad.technology
