Dr. Helmut Grabner
Dr. Helmut Grabner
ZHAW
School of Engineering
Forschungsschwerpunkt Data Analysis and Statistics
Rosenstrasse 3
8400 Winterthur
Persönliches Profil
Tätigkeit an der ZHAW als
Dozent
Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse
Machine Learning
Deep Learning
Computer Vision
Entrepreneurship
Computer Vision meets Art: webcamaze.engineering.zhaw.ch
Aus- und Fortbildung
1999-2008: Graz University of Technology, PhD
2020-2021: Certificate of Advanced Studies in Higher & Professional Education
Beruflicher Werdegang
2008-2014: Post-Doc Researcher at ETH Zurich
2012-2015: CTO & co-founder upicto GmbH
2015-2019: Lead Computer Vision Eng, CTO Office at Logitech
Mitglied in Netzwerken
Projekte
- Machine Learning-Aided Startup Investing (MALASI) / ProjektleiterIn / Projekt laufend
- Towards Explainable Artificial Intelligence and Machine Learning in Credit Risk Management / Teammitglied / Projekt laufend
- To be liked or not to be liked – what makes a photo interesting? / Co-ProjektleiterIn / Projekt abgeschlossen
- Artificial Intelligence to improve venture capital decision making / ProjektleiterIn / Projekt abgeschlossen
- UNY id – Bewegungs- und verhaltensbasierte Personenidentifikation / ProjektleiterIn / Projekt abgeschlossen
- Intelligenter Weinbau / Co-ProjektleiterIn / Projekt abgeschlossen
- Apalion KISS / ProjektleiterIn / Projekt abgeschlossen
Publikationen
-
Stadelmann, Thilo; Keuzenkamp, Julian; Grabner, Helmut; Würsch, Christoph,
2021.
The AI-Atlas : didactics for teaching AI and machine learning on-site, online, and hybrid.
Education Sciences.
11(7), S. 318.
Verfügbar unter: https://doi.org/10.3390/educsci11070318
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Weber, Maurice; Renggli, Cedric; Grabner, Helmut; Zhang, Ce,
2020.
Observer dependent lossy image compression [Paper].
In:
42nd German Conference on Pattern Recognition (DAGM-GCPR), virtual, 28 September - 1 October 2020.
Verfügbar unter: https://arxiv.org/abs/1910.03472
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Inan, Berkay; Cernak, Milos; Grabner, Helmut; Tukuljac, Helena Peic; Pena, Rodrigo C. G.; Ricaud, Benjamin,
2019.
Evaluating audiovisual source separation in the context of video conferencing [Paper].
In:
Proceedings Interspeech 2019.
Interspeech 2019, Graz, Austria, 15-19 September 2019.
International Speech Communication Association (ISCA).
S. 4579-4583.
Verfügbar unter: https://doi.org/10.21437/Interspeech.2019-2671
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Bödi, Linda Helen; Grabner, Helmut,
2020.
Learning to ignore : fair and task independent representations.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: https://doi.org/10.21256/zhaw-21602
TEST OF TIME AWARD: Koenderink Prize ( www.thecvf.com ) At the European Conference on Computer Vision (ECCV) 2018 in Munich the paper "H. Grabner, Ch. Leistner, and H. Bischof. Semi-supervised On-line Boosting for Robust Tracking" was awarded the prestigious Koenderink Prize, given to `fundamental contributions in computer vision that stood the test of time'.
Google Scholar: scholar.google.com/citations