Daniel Kienzle
Telefon: | +49 (821) 598 2451 |
E-Mail: | daniel.kienzle@uni-a.de |
Raum: | 1018 (N) |
Sprechzeiten: | Nach Vereinbarung |
Adresse: | Universitätsstraße 6a, 86159 Augsburg |
Abschlussarbeiten
- 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
Lehre
Publikationen
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. 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 |