Robin Schön

Research Assistant & PhD Student
Chair for Machine Learning & Computer Vision
Phone: +49 (821) 598 4368
Email: robin.schoen@informatik.uni-augsburg.de
Room: 1012 (N)
Visiting hours: by appointment
Address: Universitätsstraße 6a, 86159 Augsburg

Research Interest

  • Image-to-Image Translation
  • Semantic Segmentation
  • Domain Adaptation

Publications

Schön, Robin
2023 | 2022 | 2021

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.
PDF | PDF | BibTeX | RIS

Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig and Rainer Lienhart. 2023. COVID detection and severity prediction with 3D-ConvNeXt and custom pretrainings. DOI: 10.1007/978-3-031-25082-8_33
PDF | BibTeX | RIS | DOI

Robin Schön, Katja Ludwig and Rainer Lienhart. in press. Impact of pseudo depth on open world object segmentation with minimal user guidance.
PDF | BibTeX | RIS

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.
BibTeX | RIS

Sebastian Scherer, Robin Schön, Katja Ludwig and Rainer Lienhart. 2021. Unsupervised domain extension for nighttime semantic segmentation in urban scenes. DOI: 10.5220/0010551500380047
PDF | BibTeX | RIS | DOI

Abschlussarbeiten

Robin Schön. Learning Semantic Segmentation from Synthetic Data using Generative Adversarial Networks.  Masters Thesis, January 2021.

Lehre

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