Johannes Link
Dr. Johannes Link
Alumnus
Carl-Thiersch-Straße 2b
91052 Erlangen
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Machine Learning and Data Analytics Lab
Carl-Thiersch-Straße 2b
91052 Erlangen
- Email: johannes.link@fau.de
| since 09/2019 | PhD Candidate Machine Learning and Data Analytics Lab, Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
| 04/2017 – 05/2019 | M.Sc. in Physics Erlangen Centre for Astroparticle Physics (ECAP) Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Master’s Thesis: “Event Reconstruction for EXO-200 using Deep Learning“ |
| 10/2013 – 03/2017 | B.Sc. in Physics Erlangen Centre for Astroparticle Physics (ECAP) Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Bachelor’s Thesis: “Investigations to optimize the signal selection with the acoustic particle detector AMADEUS” |
Scrum Master at Innovation Lab for Wearable and Ubiquitous Computing:
- WS 19/20: Smart City Greens
- SS 20: Smart Biathlon
- WS 20/21: Safire
- SS 21: RFtrack
- WS 21/22: Waveflow
- SS 22: Champtrack
- WS 22/23: vc-motion
2022
- Link J., Perst T., Stöve M., Eskofier B.:
Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning
In: Sensors 22 (2022), p. 2560
ISSN: 1424-8220
DOI: 10.3390/s22072560
BibTeX: Download - Link J., Schwinn L., Pulsmeyer F., Kautz T., Eskofier B.:
xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning
In: Sensors 22 (2022), Article No.: 8474
ISSN: 1424-8220
DOI: 10.3390/s22218474
BibTeX: Download
2021
- Link J., Guillaume S., Eskofier B.:
Experimental validation of real-time ski jumping tracking system based on wearable sensors
In: Sensors 21 (2021), Article No.: 7780
ISSN: 1424-8220
DOI: 10.3390/s21237780
URL: https://www.mdpi.com/1424-8220/21/23/7780
BibTeX: Download
2020
- Köferl F., Link J., Eskofier B.:
Application of SORT on Multi-Object Tracking and Segmentation
Conference on Computer Vision and Pattern Recognition; 5th BMTT MOTChallenge Workshop: Multi-Object Tracking and Segmentation (Seattle, WA, USA (Virtual), 19. June 2020 - 19. June 2020)
URL: https://motchallenge.net/workshops/bmtt2020/papers/Application_and_Adaptations_of_SORT_on_MOTS20.pdf
BibTeX: Download
(Working Paper)
| Year | Name | Title |
| 2021 | Timur Perst | Transfer Learning for Activity Recognition in Ultimate Frisbee (Bachelor’s Thesis) |
| 2021 | Johannes Benkert | LiDAR object detection by a domain adapted BirdNet neural network architecture (Master’s Thesis) |
| 2021 | Antonia Deyerberg | Unsupervised Personalization of Activity Recognition in Football (Bachelor’s Thesis) |
| 2022 | Lukas Heine | AI-driven Golf Swing Analysis and Improvement
(Master’s Thesis) |