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170
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ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
138
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ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
Many state-of-the-art segmentation algorithms rely on Markov or Conditional Random Field models designed to enforce spatial and global consistency constraints. This is often accom...
173
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CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
Simply choosing one model out of a large set of possibilities for a given vision task is a surprisingly difficult problem, especially if there is limited evaluation data with whi...
163
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ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
WACV
2007
IEEE
15 years 10 months ago
2007
IEEE