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Fabian Hüger
Fabian Hüger
CARIAD SE
Bestätigte E-Mail-Adresse bei cariad.technology
Titel
Zitiert von
Zitiert von
Jahr
Efficient decentralized deep learning by dynamic model averaging
M Kamp, L Adilova, J Sicking, F Hüger, P Schlicht, T Wirtz, S Wrobel
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
1502019
Prediction error meta classification in semantic segmentation: Detection via aggregated dispersion measures of softmax probabilities
M Rottmann, P Colling, TP Hack, R Chan, F Hüger, P Schlicht, ...
2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020
822020
Unsupervised domain adaptation to improve image segmentation quality both in the source and target domain
JA Bolte, M Kamp, A Breuer, S Homoceanu, P Schlicht, F Huger, ...
proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
552019
Application of decision rules for handling class imbalance in semantic segmentation
R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk
arXiv preprint arXiv:1901.08394, 2019
402019
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
322020
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
312020
On the robustness of redundant teacher-student frameworks for semantic segmentation
A Bar, F Huger, P Schlicht, T Fingscheidt
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
312019
Self-supervised domain mismatch estimation for autonomous perception
J Lohdefink, J Fehrling, M Klingner, F Huger, P Schlicht, NM Schmidt, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
252020
Strategy to increase the safety of a DNN-based perception for HAD systems
T Sämann, P Schlicht, F Hüger
arXiv preprint arXiv:2002.08935, 2020
222020
Using mixture of expert models to gain insights into semantic segmentation
S Pavlitskaya, C Hubschneider, M Weber, R Moritz, F Huger, P Schlicht, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
222020
The attack generator: A systematic approach towards constructing adversarial attacks
F Assion, P Schlicht, F Greßner, W Gunther, F Huger, N Schmidt, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
212019
Robust semantic segmentation by redundant networks with a layer-specific loss contribution and majority vote
A Bar, M Klingner, S Varghese, F Huger, P Schlicht, T Fingscheidt
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
202020
Detection of false positive and false negative samples in semantic segmentation
M Rottmann, K Maag, R Chan, F Hüger, P Schlicht, H Gottschalk
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020
192020
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
172019
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
162021
GAN vs JPEG2000 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
arxiv, 2019
162019
Safety assurance of machine learning for perception functions
S Burton, C Hellert, F Hüger, M Mock, A Rohatschek
Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022
152022
Controlled false negative reduction of minority classes in semantic segmentation
R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
152020
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
142021
User interface transfer for driver information systems: a survey and an improved approach
F Hüger
Third International Conference on Automotive User Interfaces and Interactive …, 2011
132011
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