Dominik Hirner recieved the B.Sc. and M.Sc. degrees in Computer Science from the University of Technology Graz, Austria, in 2016 and 2018, respectively. During his Master's study he spent two years at the AIT Austrian Institute of Technology. Since November 2018, he is a Ph.D. student at the Institute of Computer Graphics and Vision (ICG), Graz University of Technology.
In 2019 he worked on the Core3D project financed by General Electrics. In this project he worked mainly on improving 3D reconstruction of urban scenes via satellite stereo images.
In 2020 he worked on the SV4I (street-view for the visually impaired) project. This FFG funded project was focused on using 3D data generated from structure-from-motion techniques in order to create a geo-referenced map for walkable and non-walkable areas.
His current research interest includes computer vision, image analysis and deep learning. In particular, he is dealing with lightweight CNNs for stereo vision and 3D reconstruction using deep learning techniques.
A full list of my publications can be found in the PURE system of TU Graz.
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