| Towards Corner Case Detection for Autonomous Driving JA Bolte, A Bär, D Lipinski, T Fingscheidt Proc. of IEEE IV 2019, 438-445, 2019 | 142 | 2019 |
| 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 | 76 | 2022 |
| Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels M Klingner, A Bär, P Donn, T Fingscheidt Proc. of IEEE ITSC 2020, 1-8, 2020 | 57 | 2020 |
| Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation M Klingner, A Bär, T Fingscheidt Proc. of IEEE/CVF CVPR 2020 - Workshops, 320-321, 2020 | 56 | 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 | 41 | 2020 |
| Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving S Varghese, Y Bayzidi, A Bar, N Kapoor, S Lahiri, JD Schneider, ... Proc. of IEEE/CVF CVPR 2020 - Workshops, 336-337, 2020 | 39 | 2020 |
| 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 Proc. of IEEE IV 2019, 424-431, 2019 | 37* | 2019 |
| On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation A Bär, F Hüger, P Schlicht, T Fingscheidt Proc. of IEEE/CVF CVPR 2019 - Workshops, 1380-1388, 2019 | 35 | 2019 |
| Detecting Adversarial Perturbations in Multi-Task Perception M Klingner, VR Kumar, S Yogamani, A Bär, T Fingscheidt Proc. of IEEE/RSJ IROS 2022, 13050-13057, 2022 | 22 | 2022 |
| Transferable Universal Adversarial Perturbations Using Generative Models AS Hashemi, A Bär, S Mozaffari, T Fingscheidt arXiv:2010.14919, 2020 | 22 | 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, ... Proc. of IEEE/CVF CVPR 2021 - Workshops, 12-20, 2021 | 21 | 2021 |
| Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote A Bär, M Klingner, S Varghese, F Huger, P Schlicht, T Fingscheidt Proc. of IEEE/CVF CVPR 2020 - Workshops, 1348-1358, 2020 | 20 | 2020 |
| Focussing Learned Image Compression to Semantic Classes for V2X Applications J Löhdefink, A Bär, NM Schmidt, F Hüger, P Schlicht, T Fingscheidt Proc. of IEEE IV 2020, 1641-1648, 2020 | 14 | 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, ... Proc. of IEEE IJCNN 2021, 1-8, 2021 | 12 | 2021 |
| Improving transferability of generated universal adversarial perturbations for image classification and segmentation AS Hashemi, A Bär, S Mozaffari, T Fingscheidt Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022 | 10 | 2022 |
| Frozen Feature Augmentation for Few-Shot Image Classification A Bär, N Houlsby, M Dehghani, M Kumar Proc. of IEEE/CVF CVPR 2024, 16046-16057, 2024 | 8 | 2024 |
| Improving Online Performance Prediction for Semantic Segmentation M Klingner, A Bar, M Mross, T Fingscheidt Proc. of IEEE/CVF CVPR 2021 - Workshops, 1-11, 2021 | 6 | 2021 |
| Detection of Collective Anomalies in Images for Automated Driving Using an Earth Mover’s Deviation (EMDEV) Measure J Breitenstein, A Bär, D Lipinski, T Fingscheidt Proc. of IEEE IV 2021 - Workshops, 90-97, 2021 | 5 | 2021 |
| A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection A Bär, J Uhrig, JP Umesh, M Cordts, T Fingscheidt Proc. of IEEE/CVF CVPR 2023 - Workshops, 3850-3859, 2023 | 4 | 2023 |
| Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression J Löhdefink, J Sitzmann, A Bär, T Fingscheidt Proc. of IEEE/CVF CVPR 2022 - Workshops, 1732-1737, 2022 | 3 | 2022 |
Tim FingscheidtProfessor, IEEE Fellow, ITG Fellow, Technische Universität Braunschweig, GermanyVerified email at tu-bs.de
