Siniša Šegvić was born in 1971 in Split, Croatia. He completed elementary school and high school in Zadar, Croatia, with one year abroad in Milano, Italy. He received the BS degree in electrical engineering (9 semesters) in 1996 as well as the MS and PhD degrees in 2000 and 2004. He has been employed at UniZg-FER as an assistant professor since 2006.
He was a postdoc researcher at IRISA, Rennes and at TU Graz. He led three research projects of the Croatian Science Foundation (MultiCLOD, MASTIF, ADEPT) as well as several industrial research projects funded by Rimac automobili, RoMB technologies, MicroBlink etc. He has participated in the research center of excellence DataCross, several ERDF projects (SafeTram, MAS, A-UNIT) as well as on one FP7 project (ACROSS).
His research and professional interests include computer vision, visual recognition, scene understanding, and dense prediction with deep convolutional models. He has published several papers at top computer vision conferences (CVPR, ECCV) and scientific journals. He has been a reviewer at top conferences (CVPR, ECCV, ICCV, AAAI) as well as in scientific journals in the fields of computer vision, intelligent transportation systems and robotics. He participated in the industrial development as a technical consultant. He advises several PhD students funded by EU projects, national projects and private companies. His research group has achieved notable results while participating at computer vision challenges such as WildDash, Robust vision challenge, Cityscapes and Fishyscapes.
Siniša Šegvić speaks english and italian very well, and has basic communication skills in french. He is married and has three children. He is a member of IEEE.
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