Sebastian Scherer, Stephan Brehm and Rainer Lienhart. 2022. Consistency regularization for unsupervised domain adaptation in semantic segmentation. Lecture Notes in Computer Science 13231, 500-511. DOI: 10.1007/978-3-031-06427-2_42
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Sebastian Scherer, Robin Sch?n and Rainer Lienhart. 2022. Pseudo-label noise suppression techniques for semi-supervised semantic segmentation. In 33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022, proceedings. BMVA Press, London, 829-832
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Stephan Brehm, Sebastian Scherer and Rainer Lienhart. 2022. Semantically consistent image-to-image translation for unsupervised domain adaptation. In Ana Paula Rocha, Luc Steels, Jaap van den Herik (Eds.). ICAART 2022: Proceedings of the 14th International Conference on Agents and Artificial Intelligence, online streaming, 3-5 February 2022, volume 2. SciTePress, Setúbal, 131-141 DOI: 10.5220/0010786000003116
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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 Sch?n, 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 伟德国际_伟德国际1946$娱乐app游戏ioni, 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, Universit?t Augsburg. .
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