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Jiri MATAS | My old home page at U. of Surrey |
| Professor The Center for Machine Perception Department of Cybernetics Faculty of Electrical Engineering Czech Technical University, Prague |
Karlovo namesti 13, 121 35 Praha 2, Czech Republic Office: G1 (building G, room 1), see map Tel.: +420-2-24357212, Fax:+420-2-24357385 E-mail: surname@cmp.felk.cvut.cz |
| CV:
| Publications. | Demos | Awards | Students |
| 2011 | Zdenek Kalal, a PhD student co-supervised by me and K. Mikolajczyk at the U. of Surrey, was awarded the ICT Pioneers Prize in the "Technology Everywhere" category for the TLD tracker developed during the PhD. | ||||||||||||||
| 2010 |
My student Lukas Neumann won the Czech Master Thesis of
Year 2010 in Informatics award. The work is summarized in
our ACCV'10 paper A method for text localization and recognition in
real-world images
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| 2010 | Outstanding Reviewer, CVPR 2010. | ||||||||||||||
| 2009 |
My student (co-supervised with T. Svoboda) Karel Zimmermann was
awarded the
CSKI prize for the best PhD work in 2008 for his
PhD thesis Fast Learnable Methods for Object Tracking.
See the related PAMI paper
| 2007 |
Best Paper Prize
at Asian Conference on Computer Vision (ACCV).
J. Sochman and J. Matas: Learning A Fast Emulator of a Binary Decision Process.
| 2006 |
My student S. Obdrzalek won the
Doctorandus prize
for the most innovative PhD work in the Czech Rep.
| 2005 |
Best paper prize at BMVC: J. Matas, S. Obdrzalek: Sub-linear Indexing
for Large Scale Object Recognition.
| 2005 |
The CMP Team I advised of finished
second in the ICCV 2005 Contest.
| 2004 |
Best scientific result prize of the Czech Technical University Prague.
| 2002 |
Best paper prize at BMVC: J. Matas et al.: Robust wide baseline stereo
from maximally stable extremal regions.
| 1987 |
MSc thesis awarded the Chancellor's prize.
| |
| current: Andrej Mikulik (MSc'09), Tomas Vojir, Lukas Neumann (MSc'10). |
| former: Michal Perdoch (MSc'04, PhD'11), Zdenek Kalal (MSc'05, PhD'11), Lukas Zich (MSc), Jura Trefny (MSc), Jan Sochman (Phd'09), Karel Zimmermann (PhD'08), Stepan Obdrzalek (PhD'07), Ondra Chum (PhD'05), Mirek Hamouz (PhD'05), Kenneth Jonsonn (PhD'02), Ulises Ramos Sanchez (PhD'01), Yongping Li (PhD'01) |
DBLP(with BibTeX), Google Scholar, Microsoft Academic (both with citing papers).
| H-index: | 25 | ||||||||||||
(Thomson WoS)
| H-index: | 43
| (Harzing/Google Scholar)
| Citations: | ~5300
| (Thomson WoS)
| Citations: | ~14000
| (Harzing/Google Scholar)
| | ||||
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H. Cai, T. Werner and J. Matas. | Fast Detection of Multiple Textureless 3-D Objects. Proc. of the 9th Intl. Conf. on Computer Vision Systems (ICVS), 2013.
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T. Vojir, J. Noskova and J. Matas. | Robust Scale-Adaptive Mean-Shift for Tracking Proc. of the 18th Scandinavian Conf. on Image Analysis (SCIA), 2013.
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Z. Kalal, K. Mikolajczyk and J. Matas. | Tracking-Learning-Detection IEEE T. PAMI. 34(7): 1409-1422, July 2012
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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
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L. Neumann, J. Matas. | A method for text localization and recognition in real-world images. In ACCV 2010.
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O. Chum, J. Matas. | Planar Affine Rectification from Change of Scale. In ACCV 2010.
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A. Mikulik, M. Perdoch, O. Chum, J. Matas. | Learning a Fine Vocabulary. In ECCV (3) 2010: 1-14
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J. Cech, J. Matas, M. Perdoch. | Efficient Sequential Correspondence Selection by Cosegmentation. IEEE T. PAMI. 32(9): 1568-1581, September 2010 |
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.
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.
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.
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
,
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.
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.
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.
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!