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273
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CVPR
2009
IEEE
17 years 2 months ago
2009
IEEE
Convex and continuous energy formulations for low level
vision problems enable efficient search procedures for the
corresponding globally optimal solutions. In this work we
exte...
227
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CVPR
2009
IEEE
17 years 2 months ago
2009
IEEE
We introduce a new technique that can reduce any
higher-order Markov random field with binary labels into
a first-order one that has the same minima as the original.
Moreover, w...
199
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
This paper presents a collaborative benchmark for region of interest (ROI) detection in images. ROI detection has many useful applications and many algorithms have been proposed...
220
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ICCV
2009
IEEE
17 years 16 days ago
2009
IEEE
In recent years the Markov Random Field (MRF) has
become the de facto probabilistic model for low-level vision
applications. However, in a maximum a posteriori
(MAP) framework, ...
197
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CVPR
2003
IEEE
16 years 9 months ago
2003
IEEE
We consider the problem of estimating the shape and radiance of an object from a calibrated set of views under the assumption that the reflectance of the object is nonLambertian. ...