Chair for Machine Learning & Computer Vision

  1. University
  2. Faculties
  3. Faculty of Applied Computer Science
  4. Institute of Computer Science
  5. Chairs and Professors
  6. Machine Learning & Computer Vision
  7. Team
  8. Daniel Kienzle

Daniel Kienzle

Research Assistant & PhD Student
Chair for Machine Learning & Computer Vision
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

Publications

2023 | 2022

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
PDF | BibTeX | RIS | DOI

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

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

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