Kira Maag

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Semantic Segmentation

Top Venues

VISIGRAPP (2): VISAPP

J. Optim. Theory Appl.

Publications

Kira Maag, Asja Fischer
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation. WACV (2024)
Kira Maag, Asja Fischer
Uncertainty-Based Detection of Adversarial Attacks in Semantic Segmentation. VISIGRAPP (2): VISAPP (2024)
Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. CoRR (2024)
Kira Maag, Tobias Riedlinger
Pixel-Wise Gradient Uncertainty for Convolutional Neural Networks Applied to Out-of-Distribution Segmentation. VISIGRAPP (2): VISAPP (2024)
Kira Maag, Asja Fischer
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation. CoRR (2023)
Kira Maag, Tobias Riedlinger
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation. CoRR (2023)
Matthias Rottmann, Kira Maag, Mathis Peyron, Hanno Gottschalk, Natasa Krejic
Detection of Iterative Adversarial Attacks via Counter Attack. J. Optim. Theory Appl. 198 (3) (2023)
Kira Maag, Matthias Rottmann
False Negative Reduction in Semantic Segmentation Under Domain Shift Using Depth Estimation. VISIGRAPP (5: VISAPP) (2023)
Kira Maag, Asja Fischer
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation. CoRR (2023)
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)
Kira Maag, Matthias Rottmann
False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation. CoRR (2022)
Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. CoRR (2022)
Kira Maag
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates. ICTAI (2021)
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)
Kira Maag, Matthias Rottmann, Serin Varghese, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. IJCNN (2021)
Kira Maag
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates. CoRR (2021)
Kira Maag, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. CoRR (2020)
Kira Maag, Matthias Rottmann, Hanno Gottschalk
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. ICTAI (2020)
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)
Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Detection of False Positive and False Negative Samples in Semantic Segmentation. CoRR (2019)
Kira Maag, Matthias Rottmann, Hanno Gottschalk
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. CoRR (2019)