Giorgos Tolias

Associate Professor

Prague, Prague, Czechia
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Summary

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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.
code9 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy (PhD), Computer Vision, Doctor of Philosophy (PhD), Computer Vision at National Technical University of Athens
languagesFrench, Greek, English
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Github Skills (15)

matconvnet10
convolutional-neural-networks10
image-retrieval10
python9
matlab9
pytorch9
representations8
region8
maxpooling7
computer-vision6
mex6
localization6
benchmarking4
adversarial-attacks4
deep-learning3

Programming languages (3)

CMATLABPython

Github contributions (5)

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gtolias/mom

Sep 2019 - Aug 2022

Mining on Manifolds (CVPR 2018)
Contributions:2 commits, 10 pushes, 1 branch in 2 years 11 months
gtolias/rmac

Oct 2017 - Apr 2018

MATLAB implementation of the R-MAC descriptor and the intergral-max-pooling localization (ICLR 2016 paper)
Contributions:3 pushes, 1 branch, 4 comments in 6 months
localizationmatlabmaxpooling
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