Search Results - Chum, Ondřej

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  1. 1
    Optimizing explicit feature maps on intervals

    Optimizing explicit feature maps on intervals by Chum, Ondřej

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  2. 2
    USAC: A Universal Framework for Random Sample Consensus

    USAC: A Universal Framework for Random Sample Consensus by Raguram, R., Chum, O., Pollefeys, M., Matas, J., Frahm, J.

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  3. 3
    Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales

    Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales by Pritts, James, Kukelova, Zuzana, Larsson, Viktor, Lochman, Yaroslava, Chum, Ondřej

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  4. 4
    Optimal Randomized RANSAC

    Optimal Randomized RANSAC by Chum, O., Matas, J.

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  5. 5
    Efficient contour match kernel

    Efficient contour match kernel by Tolias, Giorgos, Chum, Ondřej

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  6. 6
    Lost in quantization: Improving particular object retrieval in large scale image databases

    Lost in quantization: Improving particular object retrieval in large scale image databases by Philbin, James, Chum, Ondrej, Isard, Michael, Sivic, Josef, Zisserman, Andrew

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  7. 7
    Understanding and Improving Kernel Local Descriptors

    Understanding and Improving Kernel Local Descriptors by Mukundan, Arun, Tolias, Giorgos, Bursuc, Andrei, Jégou, Hervé, Chum, Ondřej

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  8. 8
    Learning Vocabularies over a Fine Quantization

    Learning Vocabularies over a Fine Quantization by Mikulik, Andrej, Perdoch, Michal, Chum, Ondřej, Matas, Jiří

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  9. 9
    Saddle: Fast and repeatable features with good coverage

    Saddle: Fast and repeatable features with good coverage by Aldana-Iuit, Javier, Mishkin, Dmytro, Chum, Ondřej, Matas, Jiří

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  10. 10
    Large-Scale Discovery of Spatially Related Images

    Large-Scale Discovery of Spatially Related Images by Chum, O., Matas, J.

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  11. 11
    Graph-based particular object discovery

    Graph-based particular object discovery by Siméoni, Oriane, Iscen, Ahmet, Tolias, Giorgos, Avrithis, Yannis, Chum, Ondřej

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  12. 12
    Fine-Tuning CNN Image Retrieval with No Human Annotation

    Fine-Tuning CNN Image Retrieval with No Human Annotation by Radenovic, Filip, Tolias, Giorgos, Chum, Ondrej

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  13. 13
    Total recall II: Query expansion revisited

    Total recall II: Query expansion revisited by Chum, O., Mikulik, A., Perdoch, M., Matas, J.

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  14. 14
    Object retrieval with large vocabularies and fast spatial matching

    Object retrieval with large vocabularies and fast spatial matching by Philbin, J., Chum, O., Isard, M., Sivic, J., Zisserman, A.

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  15. 15
    Unsupervised discovery of co-occurrence in sparse high dimensional data

    Unsupervised discovery of co-occurrence in sparse high dimensional data by Chum, Ondr̆ej, Matas, Jir̆i

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  16. 16
    The geometric error for homographies

    The geometric error for homographies by Chum, Ondřej, Pajdla, Tomáš, Sturm, Peter

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  17. 17
    Erratum to: Learning Vocabularies over a Fine Quantization

    Erratum to: Learning Vocabularies over a Fine Quantization by Mikulik, Andrej, Perdoch, Michal, Chum, Ondřej, Matas, Jiří

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  18. 18
    An Exemplar Model for Learning Object Classes

    An Exemplar Model for Learning Object Classes by Chum, O., Zisserman, A.

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  19. 19
    Efficient representation of local geometry for large scale object retrieval

    Efficient representation of local geometry for large scale object retrieval by Perd'och, Michal, Chum, Ondrej, Matas, Jiri

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  20. 20
    Geometric min-Hashing: Finding a (thick) needle in a haystack

    Geometric min-Hashing: Finding a (thick) needle in a haystack by Chum, Ondrej, Perd'och, Michal, Matas, Jiri

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