| 2026 | ESANN | Out-of-Distribution Segmentation via Wasserstein-Based Evidential Uncertainty. | Arnold Brosch, Abdelrahman Eldesokey, Michael Felsberg, Kira Maag |
| 2026 | ICAART | VideoGAN-Based Trajectory Proposal for Automated Vehicles. | Annajoyce Mariani, Kira Maag, Hanno Gottschalk |
| 2025 | ECAI | Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks. | Ben Hamscher, Edgar Heinert, Annika Mtze, Kira Maag, Matthias Rottmann |
| 2025 | VISIGRAPP | Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation. | Samuel Marschall, Kira Maag |
| 2024 | ECAI | Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. | Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl |
| 2024 | WACV | Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation. | Kira Maag, Asja Fischer |
| 2024 | VISIGRAPP | Uncertainty-Based Detection of Adversarial Attacks in Semantic Segmentation. | Kira Maag, Asja Fischer |
| 2024 | VISIGRAPP | Pixel-Wise Gradient Uncertainty for Convolutional Neural Networks Applied to Out-of-Distribution Segmentation. | Kira Maag, Tobias Riedlinger |
| 2022 | ACCV | Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. | Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk |
| 2021 | CVPR | An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks. | Serin Varghese, Sharat Gujamagadi, Marvin Klingner, Nikhil Kapoor, Andreas Br, Jan David Schneider, Kira Maag, Peter Schlicht, Fabian Hger, Tim Fingscheidt |
| 2021 | IJCNN | Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. | Kira Maag, Matthias Rottmann, Serin Varghese, Fabian Hger, Peter Schlicht, Hanno Gottschalk |
| 2021 | ICTAI | False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates. | Kira Maag |
| 2020 | DATE | Detection of False Positive and False Negative Samples in Semantic Segmentation. | Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hger, Peter Schlicht, Hanno Gottschalk |
| 2020 | ICTAI | Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. | Kira Maag, Matthias Rottmann, Hanno Gottschalk |