Sebastian Scherer, Stephan Brehm and Rainer Lienhart. in press. Consistency regularization for unsupervised domain adaptation in semantic segmentation. Lecture Notes in Computer Science .
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Stephan Brehm, Sebastian Scherer and Rainer Lienhart. in press. Semantically consistent image-to-image translation for unsupervised domain adaptation. In ICAART 2022, 14th International Conference on Agents and Artificial Intelligence, online streaming, 3-5 February 2022. SciTePress, Setúbal
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Katja Ludwig, Sebastian Scherer, Moritz Einfalt and Rainer Lienhart. 2021. Self-supervised learning for human pose estimation in sports. In IEEE International Conference on Multimedia and Expo 2021 (ICME), 5-9 July 2021, Shenzhen, China. IEEE, Piscataway, NJ, 1-6 DOI: 10.1109/ICMEW53276.2021.9456000
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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
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Stephan Brehm, Sebastian Scherer and Rainer Lienhart. 2020. High-resolution dual-stage multi-level feature aggregation for single image and video deblurring. In Terry Boult, Gerard Medioni, Ramin Zabih, Eric Mortensen and Margaux Masson (Ed.). 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 14-19 June 2020, Seattle, WA, USA. IEEE, Piscataway, NJ, 1872-1881. DOI: 10.1109/cvprw50498.2020.00237
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Sebastian Scherer. 2019. Head motion prediction in 360° videos using saliency maps. Masterarbeit, Universität Augsburg.
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