Markus Hofinger

Markus Hofinger joined the Vision and Learning (VLO) Group at the Institute of Computer Graphics and Vision (ICG), Graz University of Technology, in June 2017 as a PhD student under the supervision of Prof. Thomas Pock. His research focuses on computer vision, particularly optical flow estimation and its applications, alongside machine learning and deep learning techniques.

• Education
  • Diplom-Ingenieur (DI(FH)) from University of Applied Sciences Upper Austria (2009)
  • Master's degree in Electrical Engineering from Graz University of Technology (2015)

Hofinger combines academic research with industry collaboration, working with companies such as HS-Art digital service GmbH (video colorization), Mapillary GmbH (optical flow research), and Rubner Group (deformation analysis in wood). Prior to his academic career, he spent several years in microelectronics development.