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. [. . .]
Multiple-Kernel Local-Patch Descriptor
Multiple-Kernel Local-Patch Descriptor
A. Mukundan, G. Tolias, O. Chum
BMVC, 2017
@inproceedings{Mukundan-BMVC17,
 title = {Multiple-Kernel Local-Patch Descriptor},
 author = {Mukundan, A. and Tolias, G. and Chum, O.},
 booktitle = {BMVC},
 year = {2017}
}
Robust Data Whitening as an Iteratively Re-weighted Least Squares Problem
Robust Data Whitening as an Iteratively Re-weighted Least Squares Problem
A. Mukundan, G. Tolias, O. Chum
SCIA, 2017
@inproceedings{Mukundan-SCIA17,
 title = {Robust Data Whitening as an Iteratively Re-weighted Least Squares Problem},
 author = {Mukundan, A. and Tolias, G. and Chum, O.},
 booktitle = {SCIA},
 year = {2017}
}
In the Saddle: Chasing Fast and Repeatable Features
In the Saddle: Chasing Fast and Repeatable Features
J. Aldana-Iuit, D. Mishkin, O. Chum, J. Matas
ICPR, 2016
@inproceedings{Aldana-ICPR16,
 title = {In the Saddle: Chasing Fast and Repeatable Features},
 author = {Aldana-Iuit, J. and Mishkin, D. and Chum, O. and Matas, J.},
 booktitle = {ICPR},
 year = {2016}
}
Image Matching and Retrieval by Repetitive Patterns
Image Matching and Retrieval by Repetitive Patterns
P. Doubek, J. Matas, M. Perdoch, O. Chum
ICPR, 2010
@inproceedings{Doubek-ICPR10,
 title = {Image Matching and Retrieval by Repetitive Patterns},
 author = {Doubek, P. and Matas, J. and Perdoch, M. and Chum, O.},
 booktitle = {ICPR},
 year = {2010}
}
Geonetric Hashing with Local Affine Frames
Geonetric Hashing with Local Affine Frames
O. Chum, J. Matas
CVPR, 2006
@inproceedings{Chum-CVPR06,
 title = {Geonetric Hashing with Local Affine Frames},
 author = {Chum, O. and  Matas, J.},
 booktitle = {CVPR},
 year = {2006}
}
Epipolar Geometry from Two Correspondences
Epipolar Geometry from Two Correspondences
M. Perdoch, J. Matas, O. Chum
ICPR, 2006
@inproceedings{Perdoch-ICPR06,
 title = {Epipolar Geometry from Two Correspondences},
 author = {Perdoch, M. and Matas, J. and Chum, O.},
 booktitle = {ICPR},
 year = {2006}
}
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
BMVC, 2002
@inproceedings{Matas-BMVC02,
 title = {Robust Wide baseline Stereo from Maximally Stable Extremal Regions},
 author = {Matas, J. and Chum, O. and Urban, M. and Pajdla, T.},
 booktitle = {BMVC},
 year = {2002}
}
Rotational Invariants for Wide-baseline Stereo
Rotational Invariants for Wide-baseline Stereo
J. Matas, P. Bilek, O. Chum
CVWW, 2002
@inproceedings{Matas-CVWW02l,
 title = {Rotational Invariants for Wide-baseline Stereo},
 author = {Matas, J. and B\'{\i}lek, P. and Chum, O.},
 booktitle = {CVWW},
 year = {2002}
}
Local Affine Frames for Wide-Baseline Stereo
Local Affine Frames for Wide-Baseline Stereo
J. Matas, S. Obdrzalek, O. Chum
ICPR, 2002
@inproceedings{Matas-ICPR02,
 title = {Local Affine Frames for Wide-Baseline Stereo},
 author = {Matas, J. and Obdr\v{z}\'{a}lek, \v{S}. and Chum, O.},
 booktitle = {ICPR},
 year = {2002}
}