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. [. . .]
Learning and aggregating deep local descriptors for instance-level recognition
Learning and aggregating deep local descriptors for instance-level recognition
G. Tolias, T. Jenicek, O. Chum
ECCV, 2020
@inproceedings{Tolias-ECCV20,
 title = {Learning and aggregating deep local descriptors for instance-level recognition},
 author = {Tolias, G. and Jenicek, T. and Chum, O.},
 booktitle = {ECCV},
 year = {2020}
}
Graph convolutional networks for learning with few clean and many noisy labels
Graph convolutional networks for learning with few clean and many noisy labels
A. Iscen, G. Tolias, Y. Avrithis, O. Chum, C. Schmid
ECCV, 2020
@inproceedings{Iscen-ECCV20,
 title = {Graph convolutional networks for learning with few clean and many noisy labels},
 author = {Iscen, A. and Tolias, G. and Avrithis, Y. and Chum, O., and Schmid, C.},
 booktitle = {ECCV},
 year = {2020}
}
Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations
Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations
J. Pritts, Z. Kukelova, V. Larsson, Y. Lochman, O. Chum
IEEE TPAMI, 2020
@article{Pritts-PAMI20,
 title = {Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations},
 author = {Pritts, J. and Kukelova, Z. and Larsson, V. and Lochman, Y. and Chum, O.},
 journal = {IEEE TPAMI},
 year = {2020},
 number = {},
 pages = {1-1},
 volume = {}
}
Minimal Solvers for Rectifying from Radially-Distorted Scales and
Change of Scales
Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales
J. Pritts, Z. Kukelova, V. Larsson, Y. Lochman, O. Chum
IJCV, 2020
@article{Pritts-IJCV20,
 title = {Minimal Solvers for Rectifying from Radially-Distorted Scales and
Change of Scales},
 author = {Pritts, J. and Kukelova, Z. and Larsson, V. and Lochman, Y. and Chum, O.},
 journal = {IJCV},
 year = {2020},
 number = {4},
 pages = {950--968},
 volume = {128}
}
Fine-tuning CNN Image Retrieval with No Human Annotation
Fine-tuning CNN Image Retrieval with No Human Annotation
F. Radenovic, G. Tolias, O. Chum
TPAMI, 2019
@article{Radenovic-PAMI19,
 title = {Fine-tuning {CNN} Image Retrieval with No Human Annotation},
 author = {Radenovic, F. and Tolias, G. and Chum, O.},
 journal = {TPAMI},
 year = {2019},
 number = {7},
 pages = {1655--1668},
 volume = {41}
}
No Fear of the Dark: Image Retrieval under Varying Illumination Conditions
No Fear of the Dark: Image Retrieval under Varying Illumination Conditions
T. Jenicek, O. Chum
ICCV, 2019
@inproceedings{Jenicek-ICCV19,
 title = {No Fear of the Dark: Image Retrieval under Varying Illumination Conditions},
 author = {Jenicek, T. and Chum, O.},
 booktitle = {ICCV},
 year = {2019}
}
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower
G. Tolias, F. Radenovic, O. Chum
ICCV, 2019
@inproceedings{Tolias-ICCV19,
 title = {Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower},
 author = {Tolias, G. and Radenovic, F. and Chum, O.},
 booktitle = {ICCV},
 year = {2019}
}
Linking Art through Human Poses
Linking Art through Human Poses
T. Jenicek, O. Chum
ICDAR, 2019
@inproceedings{Jenicek-ICDAR19,
 title = {Linking Art through Human Poses},
 author = {Jenicek, T. and Chum, O.},
 booktitle = {ICDAR},
 year = {2019}
}
Label Propagation for Deep Semi-supervised Learning
Label Propagation for Deep Semi-supervised Learning
A. Iscen, G. Tolias, Y. Avrithis, O. Chum
CVPR, 2019
@inproceedings{Iscen-CVPR19,
 title = {Label Propagation for Deep Semi-supervised Learning},
 author = {Iscen, A. and Tolias, G. and Avrithis, Y. and Chum, O.},
 booktitle = {CVPR},
 year = {2019}
}
Explicit Spatial Encoding for Deep Local Descriptors
Explicit Spatial Encoding for Deep Local Descriptors
A. Mukundan, G. Tolias, O. Chum
CVPR, 2019
@inproceedings{Mukundan-CVPR19,
 title = {Explicit Spatial Encoding for Deep Local Descriptors},
 author = {Mukundan, A. and Tolias, G. and Chum, O.},
 booktitle = {CVPR},
 year = {2019}
}
Local Features and Visual Words Emerge in Activations
Local Features and Visual Words Emerge in Activations
O. Simeoni, Y. Avrithis, O. Chum
CVPR, 2019
@inproceedings{Simeoni-CVPR19,
 title = {Local Features and Visual Words Emerge in Activations},
 author = {Simeoni, O. and Avrithis, Y. and Chum, O.},
 booktitle = {CVPR},
 year = {2019}
}
Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking
Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking
A. Iscen, Y. Avrithis, G. Tolias, T. Furon, O. Chum
ACCV, 2018
@inproceedings{Iscen-ACCV18,
 title = {Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking},
 author = {Iscen, A. and Avrithis, Y. and Tolias, G. and Furon, T. and Chum, O.},
 booktitle = {ACCV},
 year = {2018}
}
Rectification from Radially-Distorted Scales
Rectification from Radially-Distorted Scales
J. Pritts, Z. Kukelova, V. Larsson, O. Chum
ACCV, 2018
@inproceedings{Pritts-ACCV18,
 title = {Rectification from Radially-Distorted Scales},
 author = {Pritts, J. and Kukelova, Z. and Larsson, V. and Chum, O.},
 booktitle = {ACCV},
 year = {2018}
}
Local Orthogonal-Group Testing
Local Orthogonal-Group Testing
A. Iscen, O. Chum
ECCV, 2018
@inproceedings{Iscen-ECCV18,
 title = {Local Orthogonal-Group Testing},
 author = {Iscen, A. and Chum, O.},
 booktitle = {ECCV},
 year = {2018}
}
Deep Shape Matching
Deep Shape Matching
F. Radenovic, G. Tolias, O. Chum
ECCV, 2018
@inproceedings{Radenovic-ECCV18,
 title = {Deep Shape Matching},
 author = {Radenovic, F. and Tolias, G. and Chum, O.},
 booktitle = {ECCV},
 year = {2018}
}
Mining on Manifolds: Metric Learning without Labels
Mining on Manifolds: Metric Learning without Labels
A. Iscen, G. Tolias, Y. Avrithis, O. Chum
CVPR, 2018
@inproceedings{Iscen-MoM-CVPR18,
 title = {Mining on Manifolds: Metric Learning without Labels},
 author = {Iscen, A. and Tolias, G. and Avrithis, Y. and Chum, O.},
 booktitle = {CVPR},
 year = {2018}
}
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
F. Radenovic, A. Iscen, G. Tolias, Y. Avrithis, O. Chum
CVPR, 2018
@inproceedings{Radenovic-CVPR18,
 title = {Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking},
 author = {Radenovi\'{c}, F. and Iscen, A. and Tolias, G. and Avrithis, Y. and Chum, O.},
 booktitle = {CVPR},
 year = {2018}
}
Radially-Distorted Conjugate Translations
Radially-Distorted Conjugate Translations
J. Pritts, Z. Kukelova, V. Larsson, O. Chum
CVPR, 2018
@inproceedings{Pritts-CVPR18,
 title = {Radially-Distorted Conjugate Translations},
 author = {Pritts, J. and Kukelova, Z. and Larsson, V. and Chum, O.},
 booktitle = {CVPR},
 year = {2018}
}
Fast Spectral Ranking for Similarity Search
Fast Spectral Ranking for Similarity Search
A. Iscen, Y. Avrithis, G. Tolias, T. Furon, O. Chum
CVPR, 2018
@inproceedings{Iscen-FSR-CVPR18,
 title = {Fast Spectral Ranking for Similarity Search},
 author = {Iscen, A. and Avrithis, Y. and Tolias, G. and Furon, T. and Chum, O.},
 booktitle = {CVPR},
 year = {2018}
}
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}
}
Optimizing Explicit Feature Maps on Intervals
Optimizing Explicit Feature Maps on Intervals
O. Chum
Image and Vision Computing, 2017
@article{Chum-ICV17,
 title = {Optimizing Explicit Feature Maps on Intervals},
 author = {Chum, O.},
 journal = {Image and Vision Computing},
 year = {2017},
 issn = {0262-8856},
 number = {Supplement C},
 pages = {36 - 47},
 volume = {66}
}
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}
}