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2020 – today
- 2024
[c11]Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl:
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. ECAI 2024: 609-617- [c10]Kira Maag
, Asja Fischer:
Uncertainty-Based Detection of Adversarial Attacks in Semantic Segmentation. VISIGRAPP (2): VISAPP 2024: 37-46 - [c9]Kira Maag, Tobias Riedlinger:
Pixel-Wise Gradient Uncertainty for Convolutional Neural Networks Applied to Out-of-Distribution Segmentation. VISIGRAPP (2): VISAPP 2024: 112-122 - [c8]Kira Maag, Asja Fischer:
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation. WACV 2024: 3894-3902 - [i11]Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl:
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. CoRR abs/2402.09530 (2024) - [i10]Kira Maag, Roman Resner, Asja Fischer:
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis. CoRR abs/2408.10021 (2024) - 2023
- [j1]Matthias Rottmann, Kira Maag, Mathis Peyron, Hanno Gottschalk, Natasa Krejic:
Detection of Iterative Adversarial Attacks via Counter Attack. J. Optim. Theory Appl. 198(3): 892-929 (2023) - [c7]Kira Maag, Matthias Rottmann:
False Negative Reduction in Semantic Segmentation Under Domain Shift Using Depth Estimation. VISIGRAPP (5: VISAPP) 2023: 397-408 - [i9]Kira Maag, Tobias Riedlinger:
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation. CoRR abs/2303.06920 (2023) - [i8]Kira Maag, Asja Fischer:
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation. CoRR abs/2305.12825 (2023) - [i7]Kira Maag, Asja Fischer:
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation. CoRR abs/2310.17436 (2023) - 2022
- [c6]Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk:
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. ACCV (5) 2022: 476-494 - [i6]Kira Maag, Matthias Rottmann:
False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation. CoRR abs/2207.03513 (2022) - [i5]Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk:
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. CoRR abs/2210.02074 (2022) - 2021
- [b1]Kira Maag:
Prediction Rating and Performance Improvement for Segmentation Networks by Time-Dynamic Uncertainty Estimates. University of Wuppertal, Germany, 2021 - [c5]Serin Varghese, Sharat Gujamagadi, Marvin Klingner, Nikhil Kapoor, Andreas Bär, Jan David Schneider, Kira Maag, Peter Schlicht, Fabian Hüger, Tim Fingscheidt:
An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks. CVPR Workshops 2021: 12-20 - [c4]Kira Maag:
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates. ICTAI 2021: 1279-1286 - [c3]Kira Maag, Matthias Rottmann, Serin Varghese, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. IJCNN 2021: 1-8 - [i4]Kira Maag:
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates. CoRR abs/2106.14474 (2021) - 2020
- [c2]Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
Detection of False Positive and False Negative Samples in Semantic Segmentation. DATE 2020: 1351-1356 - [c1]Kira Maag, Matthias Rottmann, Hanno Gottschalk:
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. ICTAI 2020: 502-509 - [i3]Kira Maag, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. CoRR abs/2012.07504 (2020)
2010 – 2019
- 2019
- [i2]Kira Maag, Matthias Rottmann, Hanno Gottschalk:
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. CoRR abs/1911.05075 (2019) - [i1]Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
Detection of False Positive and False Negative Samples in Semantic Segmentation. CoRR abs/1912.03673 (2019)
Coauthor Index
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