| H-index: | 22
| (Thomson WoS)
| H-index: | 35
| (Harzing/Google Scholar)
| Citations: | ~4000
| (Thomson WoS)
| Citations: | ~10000
| | (Harzing/Google Scholar)
| | | |
|
Selected publications:
L. Ellis, N. Dowson, J. Matas, and R. Bowden.
Linear regression and adaptive appearance models for fast
simultaneous modelling and tracking.
International Journal of Computer Vision (2011) 95:154-179
L. Neumann, J. Matas.
A method for text localization and recognition in real-world images.
In ACCV 2010.
O. Chum, J. Matas.
Planar Affine Rectification from Change of Scale.
In ACCV 2010.
A. MikulĂk, M. Perdoch, O. Chum, J. Matas. Learning a Fine Vocabulary.
In ECCV (3) 2010: 1-14
J. Cech, J. Matas, M. Perdoch.
Efficient Sequential
Correspondence Selection by Cosegmentation.
IEEE Trans. Pattern Analysis and Machine Intelligence.
32(9): 1568-1581, September 2010
[data and code]
O. Chum and J. Matas.
Unsupervised discovery of co-occurrence in sparse high dimensional data.
In CVPR 2010
H. Grabner, J. Matas, L. van Gool, and P. Cattin.
Tracking the invisible: Learning where the object might be.
In CVPR 2010
Zdenek Kalal, Jiri Matas, and Krystian Mikolajczyk.
P-n learning: Bootstrapping binary classifiers by structural constraints.
In CVPR 2010
O. Chum, J. Matas.
Large-Scale Discovery of Spatially Related Images.
IEEE Trans. Pattern Analalysis and Mach. Intell. 32(2): 371-377,
February 2010
J. Sochman, J. Matas.
Learning Fast Emulators of Binary Decision Processes.
International Journal of Computer Vision 83(2): 149-163, June 2009
K. Zimmermann, J. Matas, and T. Svoboda.
Tracking by an optimal sequence of linear predictors.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
31(4):677-692, April 2009.
O. Chum, M. Perdoch, J. Matas.
Geometric min-Hashing: Finding a (thick) needle in a haystack.
CVPR 2009: 17-24
O. Chum and J. Matas. Optimal randomized RANSAC.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
30(8):1472-1482, August 2008.
J. Sochman and J. Matas. Learning a fast emulator of a binary decision process.
In ACCV 2007: Proc. 8th Asian Conference
on Computer Vision, volume II of LNSC, pages 236-245, November 2007. Springer.
Sang Uk Lee Outstanding Paper Award.
[ppt, 4 MB]
K. Mikolajczyk and J. Matas.
Improving sift for fast tree matching by optimal linear projection.
In ICCV 2007: Proc. of Eleventh IEEE International
Conference on Computer Vision, October 2007.
S. Obdrzalek and J. Matas.
Toward Category-Level Object Recognition,
Chapter 2, pages 85-108., Springer, 2006.
O. Chum and J. Matas. Geometric hashing with local affine frames.
In CVPR 2006: Proc. of Conference on Computer Vision and Pattern Recognition (CVPR),
volume 1, pages 879-884, Los Alamitos, USA, June 2006. IEEE Computer
Society.
K Mikolajczyk, T Tuytelaars, C Schmid, A Zisserman,
J Matas, F Schaffalitzky,
T Kadir, and L van Gool.
A comparison of affine region detectors.
International Journal of Computer Vision, 65(7):43 - 72,
November 2005.
Jiri Matas and Ondrej Chum.
Randomized ransac with sequential probability ratio test.
In ICCV 2005: Proc. IEEE
International Conference on Computer Vision (ICCV), volume II, pages
1727-1732, New York, USA, October 2005. IEEE Computer Society Press.
S. Obdrzálek and J. Matas.
Sub-linear indexing for large scale object recognition.
Proc. of the British Machine Vision Conference,
volume 1, pages 1-10, 2005.
Awarded the Best Paper Prize
,
M. Hamouz, J. Kittler, JK Kamarainen, P Paalanen,
H. Kalviainen, and J. Matas.
Feature-based affine-invariant localization of faces.
IEEE Transactions on Pattern Analysis and Machine
Intelligence, 27(9):1490-1495, September 2005.
O. Chum and J. Matas.
Matching with PROSAC - progressive sample consensus.
Proc. of Conference on Computer Vision and Pattern Recognition
(CVPR),
volume 1, pages 220-226, Los Alamitos, California, USA, June 2005.
O. Chum, T. Werner, and J. Matas.
Two-view geometry estimation unaffected by a dominant plane.
Proc. of Conference on Computer Vision and Pattern Recognition
(CVPR),
volume 1, pages 772-780, Los Alamitos, California, USA, June 2005.
J. Šochman and J. Matas.
Waldboost - learning for time constrained sequential detection.
Proc. of Conference on Computer Vision and Pattern Recognition
(CVPR),
volume 2, pages 150-157, Los Alamitos, California, USA, June 2005.
J. Matas and O. Chum.
Randomized RANSAC with T_d,d test.
Image and Vision Computing, 22(10):837-842, September
2004.
J. Kittler, R. Ghaderi, T. Wideatt, and J. Matas.
Face verification via error correcting output codes.
Image and Vision Computing, 21(13-14):1163-1169, Dec
2003.
J. Matas, O. Chum, U. Martin, and T Pajdla.
Robust wide baseline stereo from maximally stable extremal regions.
Proc. of the British Machine Vision Conference, volume 1, pages 384-393, 2002.
Awarded the Best Paper Prize
J. Matas, D. Koubaroulis, and J. Kittler.
The multimodal neighborhood signature for modeling object color
appearance and applications in object recognition and image retrieval.
Computer Vision and Image Understanding, 88(1):1-23, October 2002.
K. Jonsson, J. Kittler, Y. P. Li, and J. Matas.
Support vector machines for face authentication.
Image and Vision Computing, 20(5-6):369-375, March 2002.
J. Matas, C. Galambos, and J. Kittler.
Robust detection of lines using progressive probabilistic Hough Transform.
Computer Vision and Image Understanding, 2000.
J. Matas, K. Jonsson, and J. Kittler.
Fast face localisation and verification.
Image and Vision Computing , 17(8):578-581, June 1999.
J. Kittler, M. Hatef, R.P.W Duin, and J. Matas.
On combining classifiers.
IEEE Trans. Pattern Analysis and Machine Intellige nce,
20(3):226 - 239, March 1998.
More than 1000 citations in
SCI!
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