Stefano Zorzi received the B.Sc. and M.Sc. degrees in Electrical Engineering from the University of Udine, Italy, in 2015 and 2017, respectively. During his Master's study he spent one year at the Alpen-Adria-Universität, Austria. Since June 2018, he is a Ph.D. student at the Institute of Computer Graphics and Vision (ICG), Graz University of Technology.
His current research interests include computer vision and image analysis. In particular, he is dealing with semantic segmentation, classification and object detection in satellite images using deep learning techniques.
Stefano Zorzi and Friedrich FraundorferRegularization of Building Boundaries in Satellite Images Using Adversarial and Regularized LossesRegularization of Building Boundaries in Satellite Images Using Adversarial and Regularized Losses5140-5143Show publication in PURE
Stefano Zorzi, Eleonora Maset, Andrea Fusiello and Fabio CrosillaFull-Waveform Airborne LiDAR Data Classification Using Convolutional Neural NetworksShow publication in PURE