Robin Schön

Wissenschaftlicher Mitarbeiter
Lehrstuhl für Maschinelles Lernen und Maschinelles Sehen
Telefon: +49 (821) 598 4368
E-Mail:
Raum: 1012 (N)
Sprechzeiten: Nach Vereinbarung
Adresse: Universitätsstraße 6a, 86159 Augsburg

Forschungsinteressen

  • Bild-zu-Bild Transformation
  • Semantische Segmentierung
  • Domänenanpassung

Veröffentlichungen

2024 | 2023 | 2022 | 2021

2024

Julian Lorenz, Robin Schön, Katja Ludwig and Rainer Lienhart. in press. A review and efficient implementation of scene graph generation metrics.
BibTeX | RIS

Robin Schön, Julian Lorenz, Katja Ludwig and Rainer Lienhart. in press. Adapting the segment anything model during usage in novel situations.
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Daniel Kienzle, Marco Kantonis, Robin Schön and Rainer Lienhart. in press. Segformer++: efficient token-merging strategies for high-resolution semantic segmentation.
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Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matias Nicolas Bossa, Abel Diaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken and Marie-Pierre Revel Dubios. 2024. The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. DOI: 10.1016/j.media.2024.103230
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2023

Katja Ludwig, Julian Lorenz, Robin Schön and Rainer Lienhart. 2023. All keypoints you need: detecting arbitrary keypoints on the body of triple, high, and long jump athletes. DOI: 10.1109/CVPRW59228.2023.00546
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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
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Robin Schön, Katja Ludwig and Rainer Lienhart. 2023. Impact of pseudo depth on open world object segmentation with minimal user guidance. DOI: 10.1109/CVPRW59228.2023.00509
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2022

Sebastian Scherer, Robin Schön and Rainer Lienhart. 2022. Pseudo-label noise suppression techniques for semi-supervised semantic segmentation.
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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
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Abschlussarbeiten

Robin Schön. Learning Semantic Segmentation from Synthetic Data using Generative Adversarial Networks. Masterarbeit, Januar 2021.

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