Siniša Šegvić received his Ph.D. degree in computer science from the University of Zagreb, Croatia. He was a post-doctoral Researcher at IRISA Rennes and TU Graz. He is currently a Full Professor at the Faculty of Electrical Engineering and Computing, University of Zagreb. His research interests include computer vision and deep learning, with special interests in natural scene understanding for autonomous vehicles and safe traffic.
University of Zagreb, Faculty of Electrical Engineering and Computing
Zagreb, Zagreb, Grad, Croatia
Winners at the semantic segmentation contest of the Vision for all Seasons workshop (CVPR 2022)
ETH Zurich
Semantic segmentation on the ACDC dataset, submission UniZG-FER_VSITE_SN-CNL-pyr
Robust Vision Challenge 2020: the 1st place in the category Semantic Segmentation
RVC 2020 organizers
Multi-domain Semantic Segmentation with Pyramidal Fusion