Prof. Dr. Helmut Grabner
Prof. Dr. Helmut Grabner
ZHAW
School of Engineering
Forschungsschwerpunkt Data Analysis and Statistics
Technikumstrasse 81
8400 Winterthur
Work at ZHAW
Position
Focus
Teaching
7 Innovators, Visual Computing 1, Visual Computing 2, Machine Learning, Deep Learning
Experience
- Lead Computer Vision Engineer
Logitech, CTO office
06 / 2017 - 05 / 2019 - Lead Software Engineer
Logitech Upicto
02 / 2015 - 06 / 2017 - CTO & co-founder
upicto
05 / 2012 - 01 / 2015 - Post-Doc Researcher
ETH Zurich
10 / 2008 - 12 / 2014
Education and Continuing education
Education
- PhD / Computer Science
Graz University of Technology
09 / 2004 - 09 / 2008 - Master / Computer Science
Graz University of Technology
09 / 1999 - 09 / 2004
Continuing Education
Certificate of Advanced Studies in Higher & Professional Education
Zurich University of Applied Sciences
07 / 2021
Network
Membership of networks
ORCID digital identifier
Awards
Koenderink Prize
European Conference on Computer Vision
09 / 2018
Social media
Projects
- Intelligent Viticulture / Co-project leader / abgeschlossen
- UNY id – Person identification based on motion and behavior / Project leader / abgeschlossen
- Target Recognition using Artificial Intelligence (TRAI) / Team member / laufend
- Towards Explainable Artificial Intelligence and Machine Learning in Credit Risk Management / Team member / abgeschlossen
- Artificial Intelligence to improve venture capital decision making / Project leader / abgeschlossen
- Machine Learning-Aided Startup Investing (MALASI) / Project leader / abgeschlossen
- To be liked or not to be liked – what makes a photo interesting? / Co-project leader / abgeschlossen
- Surgical Proficiency – Data-driven transformation of surgical education for proficiency-based performance / Deputy project leader / laufend
- Visual Interestingness - All images are equal but some images are more equal than others / Project leader / laufend
- Enhance Your Photo With Interestingness Guided Img2Img Translation / Project leader / laufend
Publications
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Bünzli, Fabienne; Weber, Wibke; Abdullahu, Fitim; Grabner, Helmut,
2024.
Journal of Advertising.
Available from: https://doi.org/10.1080/00913367.2024.2393719
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Schmid, N.; Bruderer, S.; Paruzzo, F.; Fischetti, G.; Toscano, G.; Graf, D.; Fey, M.; Henrici, A.; Ziebart, V.; Heitmann, B.; Grabner, H.; Wegner, J.D.; Sigel, R.K.O.; Wilhelm, D.,
2023.
Deconvolution of 1D NMR spectra : a deep learning-based approach.
Journal of Magnetic Resonance.
347(107357).
Available from: https://doi.org/10.1016/j.jmr.2022.107357
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Te, Yiea-Funk; Wieland, Michèle; Frey, Martin; Pyatigorskaya, Asya; Schiffer, Penny; Grabner, Helmut,
2023.
Making it into a successful series a funding : an analysis of Crunchbase and LinkedIn data.
The Journal of Finance and Data Science.
9(100099).
Available from: https://doi.org/10.1016/j.jfds.2023.100099
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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), pp. 318.
Available from: https://doi.org/10.3390/educsci11070318
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Abdullahu, Fitim; Grabner, Helmut,
2024.
Commonly interesting images [poster].
In:
18th European Conference on Computer Vision (ECCV), Milan, Italy, 29 September - 4 October 2024.
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Bünzli, Fabienne; Weber, Wibke; Abdullahu, Fitim; Grabner, Helmut,
2024.
In:
74th Annual ICA Conference, Gold Coast, Australia, 20-24 June 2024.
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Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Ziebart, Volker; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K.O.; Heitmann, Björn; Wilhelm, Dirk,
2023.
Deconvolution of NMR spectra : a deep learning-based approach [poster].
In:
Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-27429
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Te, Yiea-Funk; Wieland, Michèle; Frey, Martin; Grabner, Helmut,
2023.
Mitigating discriminatory biases in success prediction models for venture capitals [paper].
In:
2023 10th IEEE Swiss Conference on Data Science (SDS).
10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023.
IEEE.
pp. 26-33.
Available from: https://doi.org/10.1109/SDS57534.2023.00011
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Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K. O.; Heitmann, Björn; Wilhelm, Dirk,
2022.
Deconvolution of NMR spectra : a deep learning-based approach [poster].
In:
Prisner, Thomas, ed.,
EUROMAR 2022 Abstractbook.
European Conference on Magnetic Resonance (EUROMAR), Utrecht, The Netherlands, 10-14 July 2022.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
pp. 242.
Available from: https://doi.org/10.21256/zhaw-27336
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Koller, Thomas; Grabner, Helmut,
2022.
Who wants to be a click-millionaire? : on the influence of thumbnails and captions [paper].
In:
2022 26th International Conference on Pattern Recognition (ICPR).
26th International Conference on Pattern Recognition (ICPR), Montréal, Canada, 21-25 August 2022.
IEEE.
pp. 629-635.
Available from: https://doi.org/10.1109/ICPR56361.2022.9956202
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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://doi.org/10.48550/arXiv.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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Lekar, Roni; Wu, Luohong; Gerth, Tatiana; Bühler, Pascal; Seibold, Matthias; Fürnstahl, Philipp; Grabner, Helmut,
2023.
AR open surgery training for total hip arthroplasty [poster].
In:
5th Digital Health Lab Day, Winterthur, Switzerland, 24 August 2023.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-29593
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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
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Lechner, Verena; Weber, Wibke; Grabner, Helmut; Obrist, Dario,
2022.
In:
SACM Annual Conference / SGKM Jahrestagung 2022, Zürich, Schweiz, 21.-22. April 2022.