Fabian Hüger
Fabian Hüger
Researcher, Volkswagen AG
Bestätigte E-Mail-Adresse bei volkswagen.de
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
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
522018
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 Conference on Computer Vision and Pattern …, 2019
162019
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, ...
arXiv preprint arXiv:1811.00648, 2018
162018
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
142019
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
112011
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 Conference on Computer Vision and Pattern …, 2019
102019
On the Robustness of Teacher-Student Frameworks for Semantic Segmentation
A Bär, F Hüger, P Schlicht, T Fingscheidt
Proc. of CVPR-Workshops, 1-9, 2019
92019
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
9*2019
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
72019
Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation. arXiv preprint. arXiv:. 08394
R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk
62019
Platform independent applications for in-vehicle infotainment systems via integration of CE devices
F Hueger
2012 IEEE Second International Conference on Consumer Electronics-Berlin …, 2012
62012
The ethical dilemma when (not) setting up cost-based decision rules in semantic segmentation
R Chan, M Rottmann, R Dardashti, F Huger, P Schlicht, H Gottschalk
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
52019
On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation
A Bar, F Huger, P Schlicht, T Fingscheidt
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
42019
Achieving reliable vehicle positioning for safety-relevant driver assistance systems using series production sensor technology
A Sasse, T Scheide, HG Büsing, P Hecker, B Dornieden, F Hüger, ...
ENC GNSS, 2010
42010
MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation
R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk
arXiv preprint arXiv:1912.07420, 2019
32019
Method for operating a mobile device by means of a motor vehicle
F Hueger, H Neuner, M Mirtschink
US Patent 9,590,809, 2017
32017
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
22020
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
12020
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
12020
Approaching Neural Network Uncertainty Realism
J Sicking, A Kister, M Fahrland, S Eickeler, F Hüger, S Rüping, P Schlicht, ...
NeurIPS 2019 Workshop on Machine Learning for Autonomous Driving (ML4AD), 2019
1*2019
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