Dr. Helmut Grabner
Dr. Helmut Grabner
ZHAW
School of Engineering
Forschungsschwerpunkt Data Analysis and Statistics
Rosenstrasse 3
8400 Winterthur
Personal profile
Position at the ZHAW
Senior Lecturer
Expertise and research interests
Machine Learning
Deep Learning
Computer Vision
Entrepreneurship
Educational background
1999-2008: Graz University of Technology, PhD
Professional milestones
2008-2014: Post-Doc Researcher at ETH Zurich
2012-2015: CTO & co-founder upicto GmbH
2015-2017: Lead Computer Vision Eng, CTO Office at Logitech
Membership of networks
Projects
- Towards Explainable Artificial Intelligence and Machine Learning in Credit Risk Management / Team member / Project ongoing
- Artificial Intelligence to improve venture capital decision making / Project leader / Project completed
- UNY id – Person identification based on motion and behavior / Project leader / Project completed
- Intelligent Viticulture / Project co-leader / Project completed
- Apalion KISS / Project leader / Project completed
Publications
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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.
Available from: 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).
pp.4579-4583.
Available from: 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.
Available from: 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