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 |
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 |
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, 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 |