Daniel Kienzle

Wissenschaftlicher Mitarbeiter

Lehrstuhl für Maschinelles Lernen und Maschinelles Sehen

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

2023 | 2022

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
PDF | BibTeX | RIS

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
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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
PDF | BibTeX | RIS