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. [. . .]
Asymmetric Feature Maps with Application to Sketch Based Retrieval
Asymmetric Feature Maps with Application to Sketch Based Retrieval
G. Tolias, O. Chum
CVPR, 2017
@inproceedings{Tolias-CVPR17,
 title = {Asymmetric Feature Maps with Application to Sketch Based Retrieval},
 author = {Tolias, G. and Chum, O.},
 booktitle = {CVPR},
 year = {2017}
}
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
A. Iscen, G. Tolias, Y. Avrithis, T. Furon, O. Chum
CVPR, 2017
@inproceedings{Iscen-CVPR17,
 title = {Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact {CNN} Representations},
 author = {Iscen, A. and Tolias, G. and Avrithis, Y. and Furon, T. and Chum, O.},
 booktitle = {CVPR},
 year = {2017}
}
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
F. Radenovic, G. Tolias, O. Chum
ECCV, 2016
@inproceedings{Radenovic-ECCV16,
 title = {{CNN} Image Retrieval Learns from {BoW}: Unsupervised Fine-Tuning with Hard Examples},
 author = {Radenovi{\'c}, F. and Tolias, G. and Chum, O.},
 booktitle = {ECCV},
 year = {2016}
}
From Dusk till Dawn: Modeling in the Dark
From Dusk till Dawn: Modeling in the Dark
F. Radenovic, J. Schonberger, D. Ji, J.-M. Frahm, O. Chum, J. Matas
CVPR, 2016
@inproceedings{Radenovic-CVPR16,
 title = {From Dusk till Dawn: Modeling in the Dark},
 author = {Radenovi\'{c}, F. and Sch\"{o}nberger, J. and Ji, D. and Frahm, J.-M. and Chum, O. and Matas, J.},
 booktitle = {CVPR},
 year = {2016}
}
Coplanar Repeats by Energy Minimization
Coplanar Repeats by Energy Minimization
J. Pritts, D. Rozumnyi, M. Kumar, O. Chum
BMVC, 2016
@inproceedings{Pritts-BMVC16,
 title = {Coplanar Repeats by Energy Minimization},
 author = {Pritts, J. and Rozumnyi, D. and Kumar, M. P. and Chum, O.},
 booktitle = {BMVC},
 year = {2016}
}
Low Dimensional Explicit Feature Maps
Low Dimensional Explicit Feature Maps
Ondrej Chum
ICCV, 2015
@inproceedings{Chum-ICCV15,
 title = {Low Dimensional Explicit Feature Maps},
 author = {Chum, Ond\v{r}ej},
 booktitle = {ICCV},
 year = {2015}
}
From Single Image Query to Detailed 3D Reconstruction
From Single Image Query to Detailed 3D Reconstruction
J. Schonberger, F. Radenovic, O. Chum, J.-M. Frahm
CVPR, 2015
@inproceedings{Schoenberger-CVPR15,
 title = {From Single Image Query to Detailed 3D Reconstruction},
 author = {Sch\"{o}nberger, J. and Radenovi\'{c}, F. and Chum, O. and Frahm, J.-M.},
 booktitle = {CVPR},
 year = {2015}
}
Efficient Image Detail Mining
Efficient Image Detail Mining
A. Mikulik, F. Radenovic, O. Chum, J. Matas
ACCV, 2014
@inproceedings{Mikulik-ACCV14,
 title = {Efficient Image Detail Mining},
 author = {Mikul\'{\i}k, A. and Radenovi\'{c}, F. and Chum, O. and Matas, J.},
 booktitle = {ACCV},
 year = {2014}
}
Detection, Rectification and Segmentation of Coplanar Repeated Patterns
Detection, Rectification and Segmentation of Coplanar Repeated Patterns
J. Pritts, O. Chum, J. Matas
CVPR, 2014
@inproceedings{Pritts-CVPR14,
 title = {Detection, Rectification and Segmentation of Coplanar Repeated Patterns},
 author = {Pritts, J. and Chum, O. and Matas, J.},
 booktitle = {CVPR},
 year = {2014}
}
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}
}
Image Retrieval for Online Browsing in Large Image Collections
Image Retrieval for Online Browsing in Large Image Collections
A. Mikulik, O. Chum, J. Matas
SISAP, 2013
@inproceedings{Mikulik-SISAP13,
 title = {Image Retrieval for Online Browsing in Large Image Collections},
 author = {Mikulik, A. and Chum, O. and Matas, J.},
 booktitle = {SISAP},
 year = {2013},
 pages = {3--15},
 series = {8199}
}
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}
}
Fast Computation of min-Hash Signatures for Image Collections
Fast Computation of min-Hash Signatures for Image Collections
O. Chum, J. Matas
CVPR, 2012
@inproceedings{Chum-CVPR12,
 title = {Fast Computation of {min-Hash} Signatures for Image Collections},
 author = {Chum, O. and Matas, J.},
 booktitle = {CVPR},
 year = {2012}
}
Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening
Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening
H. Jegou, O. Chum
ECCV, 2012
@inproceedings{Jegou-ECCV12,
 title = {Negative Evidences and Co-occurences in Image Retrieval: The Benefit of {PCA} and Whitening},
 author = {J\'{e}gou, H. and Chum, O.},
 booktitle = {ECCV},
 year = {2012}
}
Total Recall II: Query Expansion Revisited
Total Recall II: Query Expansion Revisited
O. Chum, A. Mikulik, M. Perdoch, J. Matas
CVPR, 2011
@inproceedings{Chum-CVPR11,
 title = {Total Recall II: Query Expansion Revisited},
 author = {Chum, O. and Mikulik, A. and Perdoch, M. and Matas, J.},
 booktitle = {CVPR},
 year = {2011}
}
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}
}
Unsupervised Discovery of Co-occurrence in Sparse High Dimensional Data
Unsupervised Discovery of Co-occurrence in Sparse High Dimensional Data
O. Chum, J. Matas
CVPR, 2010
@inproceedings{Chum-CVPR10,
 title = {Unsupervised Discovery of Co-occurrence in Sparse High Dimensional Data},
 author = {Chum, O. and Matas, J.},
 booktitle = {CVPR},
 year = {2010}
}
Geometric min-Hashing: Finding a (Thick) Needle in a Haystack
Geometric min-Hashing: Finding a (Thick) Needle in a Haystack
O. Chum, M. Perdoch, J. Matas
CVPR, 2009
@inproceedings{Chum-CVPR09,
 title = {Geometric min-{H}ashing: Finding a (Thick) Needle in a Haystack},
 author = {Chum, O. and Perdoch, M. and Matas, J.},
 booktitle = {CVPR},
 year = {2009}
}
Efficient Representation of Local Geometry for Large Scale Object Retrieval
Efficient Representation of Local Geometry for Large Scale Object Retrieval
M. Perdoch, O. Chum, J. Matas
CVPR, 2009
@inproceedings{Perdoch-CVPR09,
 title = {Efficient Representation of Local Geometry for Large Scale Object Retrieval},
 author = {Perdoch, M. and Chum, O. and Matas, J.},
 booktitle = {CVPR},
 year = {2009}
}
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}
}
Near Duplicate Image Detection: min-Hash and tf-idf Weighting
Near Duplicate Image Detection: min-Hash and tf-idf Weighting
O. Chum, J. Philbin, A. Zisserman
BMVC, 2008
@inproceedings{Chum-BMVC08,
 title = {Near Duplicate Image Detection: min-Hash and tf-idf Weighting},
 author = {Chum, O. and Philbin, J. and Zisserman, A.},
 booktitle = {BMVC},
 year = {2008}
}
Lost in Quantization: Improving Particular Object Retrieval in Large Scale Image Databases
Lost in Quantization: Improving Particular Object Retrieval in Large Scale Image Databases
J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman
CVPR, 2008
@inproceedings{Philbin-CVPR08,
 title = {Lost in Quantization: Improving Particular Object Retrieval in Large Scale Image Databases},
 author = {Philbin, J. and Chum, O. and Isard, M. and Sivic, J. and Zisserman,	A.},
 booktitle = {CVPR},
 year = {2008}
}
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
O. Chum, J. Philbin, J. Sivic, M. Isard, A. Zisserman
ICCV, 2007
@inproceedings{Chum-ICCV07,
 title = {Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval},
 author = {Chum, O. and Philbin, J. and Sivic, J. and Isard, M. and Zisserman,	A.},
 booktitle = {ICCV},
 year = {2007}
}
An Exemplar Model for Learning Object Classes
An Exemplar Model for Learning Object Classes
O. Chum, A. Zisserman
CVPR, 2007
@inproceedings{Chum-CVPR07,
 title = {An Exemplar Model for Learning Object Classes},
 author = {Chum, O. and Zisserman, A.},
 booktitle = {CVPR},
 year = {2007}
}
Scalable Near Identical Image and Shot Detection
Scalable Near Identical Image and Shot Detection
O. Chum, J. Philbin, M. Isard, A. Zisserman
CIVR, 2007
@inproceedings{Chum-CIVR07,
 title = {Scalable Near Identical Image and Shot Detection},
 author = {Chum, O. and Philbin, J. and Isard, M. and Zisserman, A.},
 booktitle = {CIVR},
 year = {2007}
}
Object Retrieval with Large Vocabularies and Fast Spatial Matching
Object Retrieval with Large Vocabularies and Fast Spatial Matching
J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman
CVPR, 2007
@inproceedings{Philbin-CVPR07,
 title = {Object Retrieval with Large Vocabularies and Fast Spatial Matching},
 author = {Philbin, J. and Chum, O. and Isard, M. and Sivic, J. and Zisserman,	A.},
 booktitle = {CVPR},
 year = {2007}
}
Epipolar Geometry Estimation Unaffected by the Dominant Plane
Epipolar Geometry Estimation Unaffected by the Dominant Plane
O. Chum, T. Werner, J. Matas
CVPR, 2005
@inproceedings{Chum-CVPR05a,
 title = {Epipolar Geometry Estimation Unaffected by the Dominant Plane},
 author = {Chum, O. and Werner, T. and  Matas, J.},
 booktitle = {CVPR},
 year = {2005}
}
Matching with PROSAC - Progressive Sampling Consensus
Matching with PROSAC - Progressive Sampling Consensus
O. Chum, J. Matas
CVPR, 2005
@inproceedings{Chum-CVPR05b,
 title = {Matching with {PROSAC} - Progressive Sampling Consensus},
 author = {Chum, O. and  Matas, J.},
 booktitle = {CVPR},
 year = {2005}
}
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}
}
Locally Optimized RANSAC
Locally Optimized RANSAC
O. Chum, J. Matas, J. Kittler
DAGM, 2003
@inproceedings{Chum-DAGM03,
 title = {Locally Optimized {RANSAC}},
 author = {Chum, O. and Matas, J. and Kittler, J.},
 booktitle = {DAGM},
 year = {2003}
}
Joint Orientation of Epipoles
Joint Orientation of Epipoles
O. Chum, T. Werner, T. Pajdla
BMVC, 2003
@inproceedings{Chum-BMVC03,
 title = {Joint Orientation of Epipoles},
 author = {Chum, O. and Werner, T. and Pajdla, T.},
 booktitle = {BMVC},
 year = {2003}
}
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}
}