Follow
Andreas Bär
Title
Cited by
Cited by
Year
Towards Corner Case Detection for Autonomous Driving
JA Bolte, A Bär, D Lipinski, T Fingscheidt
Proc. of IEEE IV 2019, 438-445, 2019
1142019
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
532022
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
442020
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
432020
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
33*2019
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
312020
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
312020
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
312019
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
192020
Transferable Universal Adversarial Perturbations Using Generative Models
AS Hashemi, A Bär, S Mozaffari, T Fingscheidt
arXiv:2010.14919, 2020
182020
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
162021
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
152022
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
142021
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
112020
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
82022
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
62021
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
52021
Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder
A Bär, M Klingner, J Löhdefink, F Hüger, P Schlicht, T Fingscheidt
Proc. of IEEE/CVF CVPR 2022 - Workshops, 4399-4408, 2022
32022
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
22022
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: Robustness, Uncertainty …, 2022
22022
The system can't perform the operation now. Try again later.
Articles 1–20