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101
Voted
CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
We consider the problem of estimating the depth of each pixel in a scene from a single monocular image. Unlike traditional approaches [18, 19], which attempt to map from appearanc...
91
Voted
CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Markov random fields with higher order potentials have emerged as a powerful model for several problems in computer vision. In order to facilitate their use, we propose a new rep...
90
Voted
CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
We present an automatic and efficient method to extract spatio-temporal human volumes from video, which combines top-down model-based and bottom-up appearancebased approaches. Fr...
108
Voted
CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
We propose a principled framework to model persistent motion in dynamic scenes. In contrast to previous efforts on object tracking and optical flow estimation that focus on local...
111
Voted
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
We introduce a novel method for face recognition from image sets. In our setting each test and training example is a set of images of an individual’s face, not just a single ima...