Daniel Kienzle
Phone: | +49 (821) 598 2451 |
Email: | daniel.kienzle@uni-a.de |
Room: | 1018 (N) |
Visiting hours: | by appointment |
Address: | Universitätsstraße 6a, 86159 Augsburg |
Theses
- Daniel Kienzle, Neural Networks for Haldane-gap spin chains. Master Thesis, April 2021. Masterarbeit.pdf
- Daniel Kienzle, Gebundene Drei-Teilchen-Zustände: Der Efimov-Effekt, Bachelor Thesis, July 2018
Teaching
- WS 2021/22:
- SS 2022: Machine Learning and Computer Vision
Publications
2023 |
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 |
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 |
2022 |
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 |