Katja Ludwig
Phone: | +49 (821) 598 2451 |
Email: | katja.ludwig@uni-a.de |
Room: | 1018 (N) |
Address: | Universitätsstraße 6a, 86159 Augsburg |
Publications
2023 |
Katja Ludwig, Daniel Kienzle, Julian Lorenz and Rainer Lienhart. in press. Detecting arbitrary keypoints on limbs and skis with sparse partly correct segmentation masks. In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Workshops). IEEE, Piscataway, NJ |
Moritz Einfalt, Katja Ludwig and Rainer Lienhart. in press. Uplift and upsample: efficient 3D human pose estimation with uplifting transformers. In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, January 2023. IEEE, Piscataway, NJ |
2022 |
Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig and Rainer Lienhart. 2022. COVID detection and severity prediction with 3D-ConvNeXt and custom pretrainings. In Computer Vision - ECCV 2022 proceedings: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022. , arXiv:2206.15073 DOI: 10.48550/arXiv.2206.15073 |
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 |
Katja Ludwig, Daniel Kienzle and Rainer Lienhart. in press. Recognition of freely selected keypoints on human limbs. In IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR 2022 Workshops). IEEE, Piscataway, NJ |
2021 |
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 |
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 |
2020 |
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 |
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 |
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 |
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. |
Teaching
- SS 2022: Machine Learning and Computer Vision, Multimedia Projekt
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WS 2021: Grundlagen der Signalverarbeitung und des Maschinellen Lernens, Advanced Deep Learning
- SS 2021: Machine Learning and Computer Vision
- WS 2020: Grundlagen der Signalverarbeitung und des Maschinellen Lernens
- SS 2020: Machine Learning and Computer Vision
- WS 2019: Grundlagen der Signalverarbeitung und des Maschinellen Lernens