Daniel Kienzle, Katja Ludwig, Julian Lorenz and Rainer Lienhart. in press. 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, March 18-21, 2024, Davos, Switzerland. IEEE, Piscataway, NJ DOI: 10.48550/arXiv.2310.17462
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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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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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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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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. in press. The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. preprint.
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Moritz Einfalt, Katja Ludwig and Rainer Lienhart. 2023. Uplift and upsample: efficient 3D human pose estimation with uplifting transformers. In Tamara Berg, Ryan Farrell, Eric Mortensen (Eds.). IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2-7 January 2023. IEEE, Piscataway, NJ, 2902-2912 DOI: 10.1109/WACV56688.2023.00292
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Katja Ludwig, Philipp Harzig and Rainer Lienhart. 2022. Detecting arbitrary intermediate keypoints for human pose estimation with vision transformers. In Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, January 4-8, 2022. IEEE, Piscataway, NJ, 663-671 DOI: 10.1109/WACVW54805.2022.00073
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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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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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Katja Ludwig, Andrea Fendt and Bernhard Bauer. 2020. An efficient online heuristic for mobile network slice embedding. In Bruno Chatras, Diego Lopez, Walter Cerroni, Shingo Ata and Noel Crespi (Ed.). 2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN), 24-27 Feb. 2020, Paris, France. IEEE, Piscataway, NJ, 139-143. DOI: 10.1109/icin48450.2020.9059440
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Andrea Fendt, Christian Mannweiler, Katja Ludwig, Lars Christoph Schmelz and Bernhard Bauer. 2020. End-to-end mobile network slice embedding leveraging edge computing. In Pal Varga, Doug Zuckerman, Lisandro Zambenedetti Granville, Peter Orosz and Jérôme François (Ed.). NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, 20-24 April 2020, Budapest, Hungary. IEEE, Piscataway, NJ, 1-7. DOI: 10.1109/NOMS47738.2020.9110442
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Katja Ludwig, Moritz Einfalt and Rainer Lienhart. 2020. Robust estimation of flight parameters for ski jumpers. In Shuai Wan, Ce Zhu, Jian Zhang, Jianquan Liu, Shiwen Mao, Wen-Huang Cheng and Jiwen Lu (Ed.). IEEE International Conference on Multimedia and Expo 2020 (ICME), London, UK, 6-10 July 2020. IEEE, Piscataway, NJ, 1-6. DOI: 10.1109/ICMEW46912.2020.9105973
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Philipp Harzig, Moritz Einfalt, Katja Ludwig and Rainer Lienhart. 2020. Transforming Videos to Text (VTT Task) Team: MMCUniAugsburg. In TREC Video Retrieval Evaluation (TRECVID) 2020, virtual, 8-11 December 2020.
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