Chair for Machine Learning & Computer Vision

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  8. Robin Schön

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

Robin Schön
2021

2021

Robin Schön. 2021. Learning semantic segmentation from synthetic data using generative adversarial networks. Masterarbeit, Universität Augsburg.
BibTeX | RIS

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
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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