Katja Ludwig, Yuliia Oksymets, Robin Schön, Daniel Kienzle and Rainer Lienhart. in press. Efficient 2D to full 3D human pose uplifting including joint rotations. In IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR 2025 Workshops). IEEE, Piscataway, NJ DOI: 10.48550/arXiv.2504.09953
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Robin Schön, Julian Lorenz, Daniel Kienzle and Rainer Lienhart. in press. SkipClick: combining quick responses and low-level features for interactive segmentation in winter sports contexts. In Proceedings of the Winter Conference on Applications of Computer Vision (WACVW) Workshops 2025, 28 February - 4 March 2025, Tucson, AZ, USA. IEEE, Piscataway, NJ, 1247-1256 DOI: 10.48550/arXiv.2501.07960
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Daniel Kienzle, Robin Schön, Rainer Lienhart and Shin'Ichi Satoh. in press. Towards ball spin and trajectory analysis in table tennis broadcast videos via physically grounded synthetic-to-real transfer. In 2025 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 10-17, 2025, Nashville, Tennessee, USA. IEEE
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Julian Lorenz, Robin Schön, Katja Ludwig and Rainer Lienhart. 2024. A review and efficient implementation of scene graph generation metrics. In Eric Mortensen (Ed.). 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Jun 16-22, 2024, Seattle, WA, USA. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, 2567-2575 DOI: 10.1109/CVPRW63382.2024.00263
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Robin Schön, Julian Lorenz, Katja Ludwig and Rainer Lienhart. 2024. Adapting the segment anything model during usage in novel situations. In Eric Mortensen (Ed.). IEEE / CVF Computer Vision and Pattern Recognition Conference Workshops (CVPRW), Jun 17th-21st, 2024, Seattle, WA, USA. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, 3616-3626 DOI: 10.1109/CVPRW63382.2024.00365
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Hugo Math, Rainer Lienhart and Robin Schön. in press. Harnessing event sensory data for error pattern prediction in vehicles: a language model approach. preprint. DOI: 10.48550/arXiv.2412.13041
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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. In IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) 2024, San Jose, CA, USA, August 7-9, 2024. IEEE, Piscataway, NJ
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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. Medical Image Analysis 97, 103230. DOI: 10.1016/j.media.2024.103230
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Robin Schön, Daniel Kienzle and Rainer Lienhart. 2024. WSESeg: introducing a dataset for the segmentation of winter sports equipment with a baseline for interactive segmentation. In 2024 21st International Conference on Content-based Multimedia Indexing (CBMI), 18-20 September 2024, Reykjavik, Iceland. IEEE, Piscataway, NJ, 1-7 DOI: 10.1109/CBMI62980.2024.10859243
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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. In 2023 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 17 2023 to June 24 2023, Vancouver, BC, Canada. IEEE, Piscataway, NJ, 5179-5187 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. In Leonid Karlinsky, Tomer Michaeli, Ko Nishino (Eds.). Computer Vision – ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part VII. Springer, Berlin, 500-516 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. In 2023 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 17 2023 to June 24 2023, Vancouver, BC, Canada. IEEE, Piscataway, NJ, 4809-4819 DOI: 10.1109/CVPRW59228.2023.00509
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Sebastian Scherer, Robin Schön 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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Robin Schön. 2021. Learning semantic segmentation from synthetic data using generative adversarial networks. Masterarbeit, Universität Augsburg. .
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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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