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Marius Schubert
Marius Schubert
Unknown affiliation
Verified email at uni-wuppertal.de
Title
Cited by
Cited by
Year
Uncertainty measures and prediction quality rating for the semantic segmentation of nested multi resolution street scene images
M Rottmann, M Schubert
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
372019
Metadetect: Uncertainty quantification and prediction quality estimates for object detection
M Schubert, K Kahl, M Rottmann
2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021
252021
Gradient-based quantification of epistemic uncertainty for deep object detectors
T Riedlinger, M Rottmann, M Schubert, H Gottschalk
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
132023
Uncertainty quantification for object detection: output-and gradient-based approaches
T Riedlinger, M Schubert, K Kahl, M Rottmann
Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022
32022
Identifying label errors in object detection datasets by loss inspection
M Schubert, T Riedlinger, K Kahl, D Kröll, S Schoenen, S Šegvić, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
22024
Deep Active Learning with Noisy Oracle in Object Detection
M Schubert, T Riedlinger, K Kahl, M Rottmann
arXiv preprint arXiv:2310.00372, 2023
2023
LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds
T Riedlinger, M Schubert, S Penquitt, JM Kezmann, P Colling, K Kahl, ...
DAGM German Conference on Pattern Recognition, 85-99, 2023
2023
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection
T Riedlinger, M Schubert, K Kahl, H Gottschalk, M Rottmann
arXiv preprint arXiv:2212.10836, 2022
2022
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning
J Burghoff, R Chan, H Gottschalk, A Muetze, T Riedlinger, M Rottmann, ...
arXiv preprint arXiv:2205.14917, 2022
2022
Ansätze zur Verbesserung KI-basierter Systeme für das autonome Fahren
D Brüggemann, S Bracke, H Gottschalk, M Rottmann, K Maag, R Chan, ...
Qualitätsmanagement in den 20er Jahren-Trends und Perspektiven: Bericht zur …, 2021
2021
Options in markets with unknown dynamics
H Gottschalk, E Nizami, M Schubert
Waves, Wavelets and Fractals 4 (1), 2018
2018
Option Pricing in Markets with Unknown Stochastic Dynamics
H Gottschalk, E Nizami, M Schubert
arXiv preprint arXiv:1602.04848, 2016
2016
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Articles 1–12