Dr. Helmut Grabner

Position at the ZHAW

Senior Lecturer

https://www.zhaw.ch/idp

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

• LinkedIn
• My old homepage at ETH Zurich

• Towards Explainable Artificial Intelligence and Machine Learning in Credit Risk Management / Team member / Project ongoing
• UNY id – Person identification based on motion and behavior / Project leader / Project ongoing
• Artificial Intelligence to improve venture capital decision making / Project leader / Project completed
• Intelligent Viticulture / Project co-leader / Project completed
• Apalion KISS / Project leader / Project completed

• 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

<strong>Koenderink Prize.</strong> Test of Time Award: 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