Dr. Helmut Grabner

Personal profile

Position at the ZHAW

Senior Lecturer

www.zhaw.ch/idp

Expertise and research interests

Machine Learning
Deep Learning
Computer Vision
Entrepreneurship

Computer Vision meets Art: webcamaze.engineering.zhaw.ch

Educational background

1999-2008: Graz University of Technology, PhD
2020-2021: Certificate of Advanced Studies in Higher & Professional Education

Professional milestones

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

Membership of networks

• CV
• LinkedIn
• My old homepage at ETH Zurich

Projects

• Target Recognition using Artificial Intelligence (TRAI) / Team member / Project ongoing
• Machine Learning-Aided Startup Investing (MALASI) / Project leader / Project ongoing
• To be liked or not to be liked – what makes a photo interesting? / Project co-leader / Project completed
• Towards Explainable Artificial Intelligence and Machine Learning in Credit Risk Management / Team member / Project completed
• Artificial Intelligence to improve venture capital decision making / Project leader / Project completed
• UNY id – Bewegungs- und verhaltensbasierte Personenidentifikation / Project leader / Project completed
• Intelligenter Weinbau / Project co-leader / Project completed
• Apalion KISS / Project leader / Project completed

Publications

• 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

• 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

• 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

• 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

• 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.

Publications before appointment at the ZHAW

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

go back