Summary
Giorgos Tolias is an Associate Professor at Czech Technical University in Prague, leading a small team within the Visual Recognition Group and focusing on practical and theoretical advances in computer vision. With a PhD from NTU Athens and postdoctoral experience at Inria and CTU, he specializes in learning visual representations under limited supervision, tackling recognition across very large category sets, fine-grained labels, and distribution shifts. His decade of research experience blends deep learning and classical vision, informed by collaborations with notable researchers such as Ondrej Chum and Hervé Jégou. Known for approaching hard recognition problems with principled methods, he often targets settings that mirror real-world label scarcity and domain change. Based in Prague, he combines academic leadership with hands-on research mentorship and a steady record of building techniques that generalize beyond standard benchmarks.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Vision, Doctor of Philosophy (PhD), Computer Vision at National Technical University of Athens
French, Greek, English