Ondrej Chum
Ondrej Chum
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Robust wide-baseline stereo from maximally stable extremal regions
J Matas, O Chum, M Urban, T Pajdla
Image and vision computing 22 (10), 761-767, 2004
54142004
Object retrieval with large vocabularies and fast spatial matching
J Philbin, O Chum, M Isard, J Sivic, A Zisserman
2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007
29432007
Lost in quantization: Improving particular object retrieval in large scale image databases
J Philbin, O Chum, M Isard, J Sivic, A Zisserman
2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008
15002008
Matching with PROSAC-progressive sample consensus
O Chum, J Matas
2005 IEEE computer society conference on computer vision and pattern …, 2005
10592005
Total recall: Automatic query expansion with a generative feature model for object retrieval
O Chum, J Philbin, J Sivic, M Isard, A Zisserman
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
8862007
Locally optimized RANSAC
O Chum, J Matas, J Kittler
Joint Pattern Recognition Symposium, 236-243, 2003
6442003
Near Duplicate Image Detection: min-Hash and tf-idf Weighting.
O Chum, J Philbin, A Zisserman
BMVC 810, 812-815, 2008
5122008
CNN image retrieval learns from BoW: Unsupervised fine-tuning with hard examples
F Radenović, G Tolias, O Chum
European conference on computer vision, 3-20, 2016
3962016
Optimal randomized RANSAC
O Chum, J Matas
IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (8), 1472-1482, 2008
3802008
An exemplar model for learning object classes
O Chum, A Zisserman
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
3462007
Negative evidences and co-occurences in image retrieval: The benefit of PCA and whitening
H Jégou, O Chum
European conference on computer vision, 774-787, 2012
3402012
Geometric min-hashing: Finding a (thick) needle in a haystack
O Chum, M Perd'och, J Matas
2009 IEEE Conference on Computer Vision and Pattern Recognition, 17-24, 2009
3152009
Efficient representation of local geometry for large scale object retrieval
M Perd'och, O Chum, J Matas
2009 IEEE Conference on Computer Vision and Pattern Recognition, 9-16, 2009
3012009
USAC: a universal framework for random sample consensus
R Raguram, O Chum, M Pollefeys, J Matas, JM Frahm
IEEE transactions on pattern analysis and machine intelligence 35 (8), 2022-2038, 2012
2972012
Total recall II: Query expansion revisited
O Chum, A Mikulik, M Perdoch, J Matas
CVPR 2011, 889-896, 2011
2842011
Scalable near identical image and shot detection
O Chum, J Philbin, M Isard, A Zisserman
Proceedings of the 6th ACM international conference on Image and video …, 2007
2792007
Randomized RANSAC with Td, d test
O Chum, J Matas
Proc. British Machine Vision Conference 2, 448-457, 2002
2122002
Fine-tuning CNN image retrieval with no human annotation
F Radenović, G Tolias, O Chum
IEEE transactions on pattern analysis and machine intelligence 41 (7), 1655-1668, 2018
2022018
Randomized RANSAC with Td, d test
J Matas, O Chum
Image and vision computing 22 (10), 837-842, 2004
1822004
Learning a fine vocabulary
A Mikulík, M Perdoch, O Chum, J Matas
European conference on computer vision, 1-14, 2010
1712010
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Artículos 1–20