Robin Schön
Telefon: | +49 (821) 598 4368 |
E-Mail: | robin.schoen@informatik.uni-augsburg.de |
Raum: | 1012 (N) |
Sprechzeiten: | Nach Vereinbarung |
Adresse: | Universitätsstraße 6a, 86159 Augsburg |
Forschungsinteressen
- Bild-zu-Bild Transformation
- Semantische Segmentierung
- Domänenanpassung
Veröffentlichungen
2022 |
Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig and Rainer Lienhart. 2022. COVID detection and severity prediction with 3D-ConvNeXt and custom pretrainings. In Computer Vision - ECCV 2022 proceedings: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022. , arXiv:2206.15073 DOI: 10.48550/arXiv.2206.15073 |
Sebastian Scherer, Robin Schön and Rainer Lienhart. in press. Pseudo-label noise suppression techniques for semi-supervised semantic segmentation. . |
2021 |
Robin Schön. 2021. Learning semantic segmentation from synthetic data using generative adversarial networks. Masterarbeit, Universität Augsburg. |
Sebastian Scherer, Robin Schön, Katja Ludwig and Rainer Lienhart. 2021. Unsupervised domain extension for nighttime semantic segmentation in urban scenes. In Ana Fred, Carlo Sansone and Kurosh Madani (Ed.). Proceedings of the 2nd International Conference on Deep Learning Theory and Applications (DeLTA 2021). SciTePress, Setúbal, 38-47. DOI: 10.5220/0010551500380047 |
Abschlussarbeiten
Robin Schön. Learning Semantic Segmentation from Synthetic Data using Generative Adversarial Networks. Masterarbeit, Januar 2021.