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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Katja Ludwig, Julian Lorenz, Daniel Kienzle, Tuan Bui and Rainer Lienhart. in press. Leveraging anthropometric measurements to improve human mesh estimation and ensure consistent body shapes. In IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR 2025 Workshops). IEEE, Piscataway, NJ DOI: 10.48550/arXiv.2409.17671
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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, Alexander Pest, Daniel Kienzle, Katja Ludwig and Rainer Lienhart. 2024. A fair ranking and new model for panoptic scene graph generation. In Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol (Eds.). Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29 – October 4, 2024, proceedings, part LXI. Springer, Berlin, 148-164 DOI: 10.1007/978-3-031-73030-6_9
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Daniel Kienzle, Marco Kantonis, Robin Schön and Rainer Lienhart. 2024. Segformer++: efficient token-merging strategies for high-resolution semantic segmentation. In Guan-Ming Su, Homer Chen, Ming-Ching Chang, Mohan Kankanhalli, Prabhakaran Balakrishnan, Dae Yeol Lee (Eds.). IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) 2024, San Jose, CA, USA, August 7-9, 2024. IEEE, Piscataway, NJ, 75-81 DOI: 10.1109/MIPR62202.2024.00019
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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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Daniel Kienzle, Katja Ludwig, Julian Lorenz and Rainer Lienhart. 2024. Towards learning monocular 3D object localization from 2D labels using the physical laws of motion. In Theodora Kontogianni, Akihiro Sugimoto, Gopal Sharma (Eds.). International Conference on 3D Vision 2024 (3DV), March 18-21, 2024, Davos, Switzerland. IEEE, Piscataway, NJ, 1564-1573 DOI: 10.1109/3DV62453.2024.00155
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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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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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Katja Ludwig, Daniel Kienzle, Julian Lorenz and Rainer Lienhart. 2023. Detecting arbitrary keypoints on limbs and skis with sparse partly correct segmentation masks. In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Jan. 3 2023 to Jan. 7 2023, Waikoloa, HI, USA. IEEE, Piscataway, NJ, 1-10 DOI: 10.1109/WACVW58289.2023.00051
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Julian Lorenz, Florian Barthel, Daniel Kienzle and Rainer Lienhart. 2023. Haystack: a panoptic scene graph dataset to evaluate rare predicate classes. In 2023 IEEE International Conference on Computer Vision Workshops (ICCVW), October 2-6, 2023, Paris, France. IEEE, Piscataway, NJ, 62-70 DOI: 10.1109/ICCVW60793.2023.00013
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Katja Ludwig, Daniel Kienzle and Rainer Lienhart. 2022. Recognition of freely selected keypoints on human limbs. In Rama Chellappa, Jiri Matas, Long Quan, Mubarak Shah, Eric Mortensen (Eds.). 2022 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), New Orleans, LA, USA, 19-24 June 2022. IEEE, Piscataway, NJ, 3530-3538 DOI: 10.1109/CVPRW56347.2022.00397
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