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Kira Maag
Kira Maag
Technical University of Berlin
Bestätigte E-Mail-Adresse bei tu-berlin.de
Titel
Zitiert von
Zitiert von
Jahr
Time-dynamic estimates of the reliability of deep semantic segmentation networks
K Maag, M Rottmann, H Gottschalk
2020 IEEE 32nd International Conference on Tools with Artificial …, 2020
362020
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
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
Improving video instance segmentation by light-weight temporal uncertainty estimates
K Maag, M Rottmann, S Varghese, F Hüger, P Schlicht, H Gottschalk
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
92021
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects
K Maag, R Chan, S Uhlemeyer, K Kowol, H Gottschalk
Proceedings of the Asian Conference on Computer Vision, 3776-3794, 2022
82022
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation
K Maag, T Riedlinger
Proceedings of the 19th International Joint Conference on Computer Vision …, 2024
32024
False negative reduction in video instance segmentation using uncertainty estimates
K Maag
2021 IEEE 33rd International Conference on Tools with Artificial …, 2021
32021
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation
K Maag, A Fischer
Proceedings of the 19th International Joint Conference on Computer Vision …, 2024
22024
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation
K Maag, A Fischer
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
12024
Detection of iterative adversarial attacks via counter attack
M Rottmann, K Maag, M Peyron, H Gottschalk, N Krejić
Journal of Optimization Theory and Applications, 1-38, 2023
12023
False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation
K Maag, M Rottmann
Proceedings of the 18th International Joint Conference on Computer Vision …, 2023
12023
Prediction Rating and Performance Improvement for Segmentation Networks by Time-Dynamic Uncertainty Estimates.
K Maag
University of Wuppertal, Germany, 2021
12021
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion
E Heinert, M Rottmann, K Maag, K Kahl
arXiv preprint arXiv:2402.09530, 2024
2024
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
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