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
2023 |
Katja Ludwig, Julian Lorenz, Robin Schön and Rainer Lienhart. in press. All keypoints you need: detecting arbitrary keypoints on the body of triple, high, and long jump athletes. In 2023 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, Piscataway, NJ |
Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig and Rainer Lienhart. 2023. COVID detection and severity prediction with 3D-ConvNeXt and custom pretrainings. In Leonid Karlinsky, Tomer Michaeli and Ko Nishino (Ed.). Computer Vision – ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part VII. Springer, Berlin, 500-516 DOI: 10.1007/978-3-031-25082-8_33 |
Robin Schön, Katja Ludwig and Rainer Lienhart. in press. Impact of pseudo depth on open world object segmentation with minimal user guidance. In 2023 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, Piscataway, NJ |
2022 |
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.