Prof. Dr. Helmut Grabner

Arbeit an der ZHAW

Tätigkeit

• Head of Visual Intelligence and Applications Group
• Head of Entrepreneurship School of Engineering

Arbeits- und Forschungsschwerpunkte

• Visual Communication, Extended Reality (XR), Training in simulated and real environments
• Vision meets Art

Lehrtätigkeit

7 Innovators, Visual Computing 1, Visual Computing 2, Machine Learning, Deep Learning

Berufserfahrung

• 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

Aus- und Weiterbildung

Ausbildung

• PhD / Computer Science
  Graz University of Technology
  09 / 2004 - 09 / 2008
• Master / Computer Science
  Graz University of Technology
  09 / 1999 - 09 / 2004

Weiterbildung

Certificate of Advanced Studies in Higher & Professional Education
Zurich University of Applied Sciences
07 / 2021

Netzwerk

Mitglied in Netzwerken

• CV
• My old homepage at ETH Zurich

ORCID digital identifier

ORCID ID: 0000-0003-1377-2686

Auszeichnungen

Koenderink Prize
European Conference on Computer Vision
09 / 2018

Social Media

LinkedIn

Projekte

• Immersive Bildung und Wissensvermittlung / Projektleiter:in / laufend
• Enhance Your Photo With Interestingness Guided Img2Img Translation / Projektleiter:in / laufend
• Watching the World / Projektleiter:in / laufend
• Visual Interestingness - All images are equal but some images are more equal than others / Projektleiter:in / laufend
• Surgical Proficiency – Datengesteuerte Transformation der chirurgischen Ausbildung für kompetenzbasierte Leistungserhebung / Stellv. Projektleiter:in / laufend
• Target Recognition using Artificial Intelligence (TRAI) / Teammitglied / laufend
• Deep Learning Klassifikation zur Identifikation von Neophyten am Beispiel des Erdmandelgrases / Projektleiter:in / abgeschlossen
• Machine Learning-Aided Startup Investing (MALASI) / Projektleiter:in / abgeschlossen
• To be liked or not to be liked – what makes a photo interesting? / Co-Projektleiter:in / abgeschlossen
• Towards Explainable Artificial Intelligence and Machine Learning in Credit Risk Management / Teammitglied / abgeschlossen
• UNY id – Bewegungs- und verhaltensbasierte Personenidentifikation / Projektleiter:in / abgeschlossen
• Artificial Intelligence to improve venture capital decision making / Projektleiter:in / abgeschlossen
• Intelligenter Weinbau / Co-Projektleiter:in / abgeschlossen
• Apalion KISS / Projektleiter:in / abgeschlossen

Publikationen

• Wu, Luohong; Seibold, Matthias; Cavalcanti, Nicola A.; Hein, Jonas; Gerth, Tatiana; Lekar, Roni; Hoch, Armando; Vlachopoulos, Lazaros; Grabner, Helmut; Zingg, Patrick; Farshad, Mazda; Fürnstahl, Philipp,

  2024.

  A novel augmented reality-based simulator for enhancing orthopedic surgical training.

  Computers in Biology and Medicine.

  185(109536).

  Verfügbar unter: https://doi.org/10.1016/j.compbiomed.2024.109536

• Berg, Michael; Furrer, Dirk; Thominet, Vincent; Wang, Xiaoqiang; Zeugin, Stefan; Grabner, Helmut; Stockinger, Kurt; Piamonteze, Cinthia,

  2024.

  distect : automatic sample-position tracking for X-ray experiments using computer vision algorithms.

  Journal of Synchrotron Radiation.

  Verfügbar unter: https://doi.org/10.1107/S1600577524009536

• Bünzli, Fabienne; Weber, Wibke; Abdullahu, Fitim; Grabner, Helmut,

  2024.

  Depicting humans, animals, and objects in motion : the effect of implied motion on engagement and persuasion in advertising.

  Journal of Advertising.

  Verfügbar unter: https://doi.org/10.1080/00913367.2024.2393719

• 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).

  Verfügbar unter: https://doi.org/10.1016/j.jmr.2022.107357

• 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).

  Verfügbar unter: https://doi.org/10.1016/j.jfds.2023.100099

• 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

• Abdullahu, Fitim; Grabner, Helmut,

  2024.

  Commonly interesting images[Poster].

  In:

  18th European Conference on Computer Vision (ECCV), Milan, Italy, 29 September - 4 October 2024.

• Bünzli, Fabienne; Weber, Wibke; Abdullahu, Fitim; Grabner, Helmut,

  2024.

  Do vectors of motion make advertisements more interesting? : the effect of implied motion on interestingness and persuasion[Paper].

  In:

  74th Annual ICA Conference, Gold Coast, Australia, 20-24 June 2024.

• 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.

  Verfügbar unter: https://doi.org/10.21256/zhaw-27429

• 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.

  S. 26-33.

  Verfügbar unter: https://doi.org/10.1109/SDS57534.2023.00011

• 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, Hrsg.,

  EUROMAR 2022 Abstractbook.

  European Conference on Magnetic Resonance (EUROMAR), Utrecht, The Netherlands, 10-14 July 2022.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  S. 242.

  Verfügbar unter: https://doi.org/10.21256/zhaw-27336

• 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.

  S. 629-635.

  Verfügbar unter: https://doi.org/10.1109/ICPR56361.2022.9956202

• 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://doi.org/10.48550/arXiv.1910.03472

• 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

• 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.

  Verfügbar unter: https://doi.org/10.21256/zhaw-29593

• 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

• Lechner, Verena; Weber, Wibke; Grabner, Helmut; Obrist, Dario,

  2022.

  What makes an image worth a like on Instagram? : a computer vision and visual communication approach to the use of images in corporate and science communication of universities.

  In:

  SACM Annual Conference / SGKM Jahrestagung 2022, Zürich, Schweiz, 21.-22. April 2022.

Publikationen vor Tätigkeit an der ZHAW

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