1427 search results - page 56 / 286 » Markov Random Field Modeling in Computer Vision |
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
JMLR
2010
13 years 3 months ago
2010
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
In this paper, we propose a novel framework to jointly recover the illumination environment and an estimate of the cast shadows in a scene from a single image, given coarse 3D geo...
CVPR
2009
IEEE
14 years 3 months ago
2009
IEEE
We formulate the problem of salient region detection in images as Markov random walks performed on images represented as graphs. While the global properties of the image are extra...
CVPR
2008
IEEE
14 years 3 months ago
2008
IEEE
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...