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Andreas Bär
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Towards corner case detection for autonomous driving
JA Bolte, A Bar, D Lipinski, T Fingscheidt
2019 IEEE Intelligent vehicles symposium (IV), 438-445, 2019
622019
Improved noise and attack robustness for semantic segmentation by using multi-task training with self-supervised depth estimation
M Klingner, A Bar, T Fingscheidt
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
282020
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
262021
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
2019 IEEE Intelligent Vehicles Symposium (IV), 424-431, 2019
26*2019
On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation
A Bär, F Hüger, P Schlicht, T Fingscheidt
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
252019
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
162020
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
142020
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
132020
Class-incremental learning for semantic segmentation re-using neither old data nor old labels
M Klingner, A Bär, P Donn, T Fingscheidt
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
122020
Transferable Universal Adversarial Perturbations Using Generative Models
AS Hashemi, A Bär, S Mozaffari, T Fingscheidt
arXiv preprint arXiv:2010.14919, 2020
92020
Detecting Adversarial Perturbations in Multi-Task Perception
M Klingner, VR Kumar, S Yogamani, A Bär, T Fingscheidt
arXiv preprint arXiv:2203.01177, 2022
52022
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
52021
Focussing Learned Image Compression to Semantic Classes for V2X Applications
J Löhdefink, A Bär, NM Schmidt, F Hüger, P Schlicht, T Fingscheidt
2020 IEEE Intelligent Vehicles Symposium (IV), 1641-1648, 2020
52020
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, 171-196, 2022
22022
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
2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 90-97, 2021
22021
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
22021
Improving Online Performance Prediction for Semantic Segmentation
M Klingner, A Bar, M Mross, T Fingscheidt
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
22021
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
2022
Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression
J Löhdefink, J Sitzmann, A Bär, T Fingscheidt
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2022
Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder
A Bär, M Klingner, J Löhdefink, F Hüger, P Schlicht, T Fingscheidt
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2022
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