Ondra
Ondrej Chum
Associate Professor
I am leading a team within the Visual Recognition Group at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. I received the MSc degree in computer science from Charles University, Prague, in 2001 and the PhD degree from the Czech Technical University in Prague, in 2005. From 2006 to 2007, I was a postdoctoral researcher at the Visual Geometry Group, University of Oxford, United Kingdom. My research interests include large-scale image and particular object retrieval, object recognition, and robust estimation of geometric models. I am a member of Image and Vision Computing editorial board, and I have served in various roles at major international conferences (e.g., ICCV, ECCV, CVPR, and BMVC). I co-organize Computer Vision and Sports Summers School in Prague. I was the recipient of the Best Paper Prize at the British Machine Vision Conference in 2002. I was awarded the 2012 Outstanding Young Researcher in Image & Vision Computing runner up for researchers within seven years of their PhD. [. . .]
Optimizing Explicit Feature Maps on Intervals
Optimizing Explicit Feature Maps on Intervals
O. Chum
Image and Vision Computing, 2017
@article{Chum-ICV17,
 title = {Optimizing Explicit Feature Maps on Intervals},
 author = {Chum, O.},
 journal = {Image and Vision Computing},
 year = {2017},
 issn = {0262-8856},
 number = {Supplement C},
 pages = {36 - 47},
 volume = {66}
}
USAC: A Universal Framework for Random Sample Consensus.
USAC: A Universal Framework for Random Sample Consensus.
R. Raguram, O. Chum, M. Pollefeys, J. Matas, J.-M. Frahm
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
@article{Raguram-PAMI13,
 title = {{USAC}: A Universal Framework for Random Sample Consensus.},
 author = {Raguram, R. and Chum, O. and Pollefeys, M. and Matas, J. and Frahm, J.-M.},
 journal = {IEEE Transactions on Pattern Analysis and  Machine Intelligence},
 year = {2013},
 number = {8},
 pages = {2022-2038},
 volume = {35}
}
Learning Vocabularies over a Fine Quantization
Learning Vocabularies over a Fine Quantization
A. Mikulik, M. Perdoch, O. Chum, J. Matas
International Journal of Computer Vision, 2012
@article{Mikulik-IJCV12,
 title = {Learning Vocabularies over a Fine Quantization},
 author = {Mikulik, A. and Perdoch, M. and Chum, O. and Matas, J.},
 journal = {International Journal of Computer Vision},
 year = {2012},
 pages = {1-13},
 publisher = {Springer US}
}
Large-Scale Discovery of Spatially Related Images
Large-Scale Discovery of Spatially Related Images
O. Chum, J. Matas
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
@article{Chum-PAMI10,
 title = {Large-Scale Discovery of Spatially Related Images},
 author = {Chum, O. and Matas, J.},
 journal = {IEEE Transactions on Pattern Analysis and  Machine Intelligence},
 year = {2010},
 pages = {371-377},
 publisher = {IEEE},
 volume = {32}
}
Optimal Randomized RANSAC
Optimal Randomized RANSAC
O. Chum, J. Matas
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
@article{Chum-PAMI08,
 title = {Optimal Randomized {RANSAC}},
 author = {Chum, O. and Matas, J.},
 journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
 year = {2008},
 number = {8},
 pages = {1472--1482},
 publisher = {IEEE},
 volume = {30}
}
The Geometric Error for Homographies
The Geometric Error for Homographies
O. Chum, T. Pajdla, P. Sturm
Computer Vision and Image Understanding, 2005
@article{Chum-CVIU05,
 title = {The Geometric Error for Homographies},
 author = {Chum, O. and Pajdla, T. and Sturm, P.},
 journal = {Computer Vision and Image Understanding},
 year = {2005},
 address = {Amsterdam, The Netherlands},
 issn = {1077-3142},
 month = {January},
 number = {1},
 pages = {86-102},
 publisher = {Elsevier Science},
 volume = {97}
}
Robust Wide-baseline Stereo from Maximally Stable Extremal Regions
Robust Wide-baseline Stereo from Maximally Stable Extremal Regions
J. Matas, O. Chum, M. Urban, T. Pajdla
Image and Vision Computing, 2004
@article{Matas-IVC04a,
 title = {Robust Wide-baseline Stereo from Maximally Stable Extremal Regions},
 author = {Matas, J. and Chum, O. and Urban, M. and Pajdla, T.},
 journal = {Image and Vision Computing},
 year = {2004},
 address = {Amsterdam, The Netherlands},
 issn = {0262-8856},
 month = {Sep},
 number = {10},
 pages = {761--767},
 publisher = {Elsevier Science},
 volume = {22}
}
Randomized RANSAC with $T_d,d$ test
Randomized RANSAC with $T_d,d$ test
J. Matas, O. Chum
Image and Vision Computing, 2004
@article{Matas-IVC04b,
 title = {Randomized {RANSAC} with ${T}_{d,d}$ test},
 author = {Matas, J. and Chum, O.},
 journal = {Image and Vision Computing},
 year = {2004},
 address = {Amsterdam, The Netherlands},
 issn = {0262-8856},
 month = {September},
 number = {10},
 pages = {837--842},
 publisher = {Elsevier Science},
 volume = {22}
}