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220
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ECCV
2010
Springer
16 years 28 days ago
2010
Springer
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
181
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ICCV
2009
IEEE
17 years 17 days ago
2009
IEEE
In this paper we describe a method to learn parameters
which govern pedestrian motion by observing video
data. Our learning framework is based on variational
mode learning and a...
171
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CVPR
1997
IEEE
16 years 9 months ago
1997
IEEE
Until now, all super-resolution algorithms have presumed that the images were taken under the same illumination conditions. This paper introduces a new approach to super-resolutio...
208
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CVPR
2001
IEEE
16 years 9 months ago
2001
IEEE
We address the problem of finding point correspondences in images by way of an approach to template matching that is robust under affine distortions. This is achieved by applying ...
168
Voted
CVPR
2003
IEEE
16 years 9 months ago
2003
IEEE
We present a simple and efficient algorithm for modifying the temporal behavior of "dynamic textures," i.e. sequences of images that exhibit some form of temporal regula...