Peter Schlicht
Peter Schlicht
Volkswagen Group Research
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
672018
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
202020
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
202019
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
182019
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
142019
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 preprint arXiv:1902.04311, 2019
11*2019
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
102019
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
82019
Method for processing sensor data in multiple control units, preprocessing unit, and transportation vehicle
P Schlicht, S Scholz
US Patent 10,922,557, 2021
72021
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
52020
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
52020
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
52019
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/CVF Conference on Computer Vision and Pattern …, 2019
52019
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
42020
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
42019
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
32020
Introducing noise in decentralized training of neural networks
L Adilova, N Paul, P Schlicht
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
32018
Amenable groups and a geometric view on unitarisability
P Schlicht
arXiv preprint arXiv:1502.01498, 2015
32015
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
22020
Quality Assurance for Machine Learning–an approach to function and system safeguarding
A Poth, B Meyer, P Schlicht, A Riel
2020 IEEE 20th International Conference on Software Quality, Reliability and …, 2020
22020
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