Biography

Siniša Šegvić has received a PhD degree in computer vision and artificial intelligence at UniZg-FER. He was a postdoc researcher at IRISA Rennes (2005-2006) and at TU Graz (2006-2007). Subsequently, he returns to UniZg-FER where he lectures in computer science and performs research in computer vision. He has participated in the introduction of graduate courses Deep learning, Design patterns, Scripting languages, and Three-dimensional computer vision. He has also participated in the reconstruction of the master course Computer Vision and the introduction of doctoral courses Analysis of dynamic scenes and Models for representing images and video. He mentored nine completed doctoral theses and several hundreds of master and bachelor theses in computer vision and artificial intelligence.

His research and professional interests include computer vision, machine learning, scene understanding, and defense from data poisoning attacks. He has published at top conferences (CVPR, ECCV, NeurIPS and AAAI) and scientific journals in computer vision, artificial intelligence and intelligent transportation systems (IEEE T-PAMI, IJCV, IEEE T-NNLS, Patt Recog, IEEE T-ITS). His publications were recognised as CVPR highlight (2023), best paper at BMVC WURCV (2022), and Editor's choice in Image and Vision Computing (2022). He has served as a reviewer at top conferences and scientific journals, as well as area chair at NeurIPS and WACV. He was recognized as an outstanding reviewer at ECCV 2020.

His research group consists of several doctoral and postdoctoral researchers that are funded by national projects, European programs and private companies. Together they achieved outstanding results at several competitions in computer vision (ACDC, WildDash, Robust vision challenge, Cityscapes, Fishyscapes, SegmentMeIfYouCan and RROW OOD Tracking Challenge).

He has led three research projects funded by Croatian Science Foundation (ADEPT, MultiCLOD, MASTIF), one project from the Croatian RRP programme (VoNoMobil) and several industrial projects funded by Google AI for global goals, P3M, RoMB technology, Rimac Automobiles, MicroBlink and Promet i prostor. He participated in the Center of research excellence DataCross, several projects from the EDF and ERDF programmes (EICACS, A-UNIT, SafeTram) as well as one project from the FP7 programme (ACROSS). He participated in industrial development as a technical consultant. He also led two bilateral research projects in collaboration with researchers from Austria and Germany, and organized several bilateral workshops and three international research workshop.

Siniša Šegvić speaks english and italian very well, and can communicate in french. He had a six month career break for paternal leave. He is married and has three children. He is an IEEE member.

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