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217
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CVPR
2009
IEEE
17 years 2 months ago
2009
IEEE
We address the problem of label assignment in computer
vision: given a novel 3-D or 2-D scene, we wish to assign a
unique label to every site (voxel, pixel, superpixel, etc.). To...
226
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Publication
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
188
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CVPR
2008
IEEE
16 years 9 months ago
2008
IEEE
In this paper, we present a new approach for image labeling based on the recently introduced graph-shifts algorithm. Graph-shifts is an energy minimization algorithm that does lab...
188
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ECCV
2002
Springer
16 years 8 months ago
2002
Springer
In this paper, we formulate the stereo matching problem as a Markov network consisting of three coupled Markov random fields (MRF's). These three MRF's model a smooth fie...
185
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ECCV
1998
Springer
16 years 8 months ago
1998
Springer
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...