Search Results - "Smeulders, A W"

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  1. 1

    Selective Search for Object Recognition by Uijlings, J. R. R., van de Sande, K. E. A., Gevers, T., Smeulders, A. W. M.

    Published in International journal of computer vision (01-09-2013)
    “…This paper addresses the problem of generating possible object locations for use in object recognition. We introduce selective search which combines the…”
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    Journal Article
  2. 2

    PicToSeek: combining color and shape invariant features for image retrieval by Gevers, T., Smeulders, A.W.M.

    Published in IEEE transactions on image processing (01-01-2000)
    “…We aim at combining color and shape invariants for indexing and retrieving images. To this end, color models are proposed independent of the object geometry,…”
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    Journal Article
  3. 3

    The Visual Extent of an Object by Uijlings, J R; R, Smeulders, A W; M, Scha, R J; H

    Published in International journal of computer vision (01-01-2012)
    “…The Visual Extent of an Object reaches beyond the object itself. This is a long standing fact in psychology and is reflected in image retrieval techniques…”
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    Journal Article
  4. 4

    The Visual Extent of an Object: Suppose We Know the Object Locations by Uijlings, J. R. R., Smeulders, A. W. M., Scha, R. J. H.

    “…The visual extent of an object reaches beyond the object itself. This is a long standing fact in psychology and is reflected in image retrieval techniques…”
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    Journal Article
  5. 5

    What is the spatial extent of an object? by Uijlings, J R R, Smeulders, A W M, Scha, R J H

    “…This paper discusses the question: Can we improve the recognition of objects by using their spatial context? We start from Bag-of-Words models and use the…”
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    Conference Proceeding
  6. 6

    Fast volume render techniques for interactive analysis by Noordmans, H. J., Smeulders, A. W. M., van der Voort, H. T. M.

    Published in The Visual computer (01-01-1997)
    “…Without graphics hardware, interactive volume rendering is almost impossible with the current generation of computers and software. We describe the…”
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    Journal Article
  7. 7

    Fine-Grained Categorization by Alignments by Gavves, E., Fernando, B., Snoek, C. G. M., Smeulders, A. W. M., Tuytelaars, T.

    “…The aim of this paper is fine-grained categorization without human interaction. Different from prior work, which relies on detectors for specific object parts,…”
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    Conference Proceeding Journal Article
  8. 8

    Hypermedia techniques for diagnostic imaging instruction: videodisk echocardiography encyclopedia by Jaffe, C C, Lynch, P J, Smeulders, A W

    Published in Radiology (01-05-1989)
    “…Because of the visual complexity of medical images and the intensive tutorial experience required to develop image recognition expertise, professional training…”
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    Journal Article
  9. 9

    Digitized circular arcs: characterization and parameter estimation by Worring, M., Smeulders, A.W.M.

    “…The digitization of a circular arc causes an inherent loss of geometrical information. Arcs with slightly different local curvature or position may lead to…”
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    Journal Article
  10. 10

    Segmentation as selective search for object recognition by van de Sande, K. E. A., Uijlings, J. R. R., Gevers, T., Smeulders, A. W. M.

    “…For object recognition, the current state-of-the-art is based on exhaustive search. However, to enable the use of more expensive features and classifiers and…”
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    Conference Proceeding
  11. 11

    A method for the acquisition of formalized knowledge in pathology by van Ginneken, A M, Jansen, W, Smeulders, A W, van der Lei, J, Baak, J P

    Published in Methods of information in medicine (01-07-1990)
    “…A tool is introduced for the acquisition of pathology knowledge in a formalized form, directly by the expert. Formalization of the knowledge is intended to…”
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    Journal Article
  12. 12

    Detection and Characterization of Isolated and Overlapping Spots by Noordmans, H.J., Smeulders, A.W.M.

    Published in Computer vision and image understanding (01-04-1998)
    “…A systematic approach is presented to detect and characterize isolated and overlapping spots. In defining spots as image details without inner structure, the…”
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    Journal Article
  13. 13

    Content-based image retrieval at the end of the early years by Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.

    “…Presents a review of 200 references in content-based image retrieval. The paper starts with discussing the working conditions of content-based retrieval:…”
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    Journal Article
  14. 14

    Asymmetric kernel in Gaussian Processes for learning target variance by Pintea, S.L., van Gemert, J.C., Smeulders, A.W.M.

    Published in Pattern recognition letters (01-06-2018)
    “…•Training the Gaussian Process regression model on training centers only, which makes is applicable on large datasets.•An asymmetric kernel formulation of the…”
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    Journal Article
  15. 15

    Discrete Representation of Straight Lines by Dorst, Leo, Smeulders, Arnold W. M.

    “…If a continuous straight line segment is digitized on a regular grid, obviously a loss of information occurs. As a result, the discrete representation obtained…”
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    Journal Article
  16. 16

    Bootstrapping Visual Categorization With Relevant Negatives by Xirong Li, Snoek, C. G. M., Worring, M., Koelma, D., Smeulders, A. W. M.

    Published in IEEE transactions on multimedia (01-06-2013)
    “…Learning classifiers for many visual concepts are important for image categorization and retrieval. As a classifier tends to misclassify negative examples…”
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    Journal Article
  17. 17

    Color invariance by Geusebroek, J.-M., van den Boomgaard, R., Smeulders, A.W.M., Geerts, H.

    “…This paper presents the measurement of colored object reflectance, under different, general assumptions regarding the imaging conditions. We exploit the…”
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    Journal Article
  18. 18

    Large scale Gaussian Process for overlap-based object proposal scoring by Pintea, S.L., Karaoğlu, S., van Gemert, J.C., Smeulders, A.W.M.

    Published in Computer vision and image understanding (01-09-2016)
    “…•Combination of state-of-the-art object proposals.•Gaussian Process regression for learning object-proposal goodness.•Effective Gaussian Process regression…”
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    Journal Article
  19. 19

    Fast occluded object tracking by a robust appearance filter by Nguyen, H.T., Smeulders, A.W.M.

    “…We propose a new method for object tracking in image sequences using template matching. To update the template, appearance features are smoothed temporally by…”
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    Journal Article
  20. 20

    Brain responses strongly correlate with Weibull image statistics when processing natural images by Scholte, H Steven, Ghebreab, Sennay, Waldorp, Lourens, Smeulders, Arnold W M, Lamme, Victor A F

    Published in Journal of vision (Charlottesville, Va.) (30-04-2009)
    “…The visual appearance of natural scenes is governed by a surprisingly simple hidden structure. The distributions of contrast values in natural images generally…”
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    Journal Article