Segmentation-based object categorization

Known as: Segmentation based object categorization 
The image segmentation problem is concerned with partitioning an image into multiple regions according to some homogeneity criterion. This article is… (More)
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Papers overview

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Highly Cited
2016
Highly Cited
2016
DOI: 10.5281/zenodo.48929 ABSTRACT An approach for Image segmentation is proposed based on mean shift algorithm and normalized… (More)
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Highly Cited
2014
Highly Cited
2014
We propose a unified approach for bottom-up hierarchical image segmentation and object candidate generation for recognition… (More)
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Highly Cited
2011
Highly Cited
2011
We present a modification of “Normalized Cuts” to incorporate priors which can be used for constrained image segmentation… (More)
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Highly Cited
2010
Highly Cited
2010
Purely bottom-up, unsupervised segmentation of a single image into foreground and background regions remains a challenging task… (More)
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Highly Cited
2007
Highly Cited
2007
This paper proposes a framework in which Lagrangian particle dynamics is used for the segmentation of high density crowd flows… (More)
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Highly Cited
2007
Highly Cited
2007
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach… (More)
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Highly Cited
2004
Highly Cited
2004
We consider data clustering problems where partial grouping is known a priori. We formulate such biased grouping problems as a… (More)
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Highly Cited
2001
Highly Cited
2001
This paper provides an algorithm for partitioning grayscale images into disjoint regions of coherent brightness and texture… (More)
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2001
2001
Perceptual popout is defined by both feature similarity and local feature contrast. We identify these two measures with… (More)
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Highly Cited
1998
Highly Cited
1998
We propose a motion segmentation algorithm that aims to break a scene into its most prominent moving groups. Instead of… (More)
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