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CVPR
2009
IEEE
17 years 2 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
ICCV
2009
IEEE
17 years 5 days ago
Shape Guided Contour Grouping with Particle Filters
We propose a novel framework for contour based object detection and recognition, which we formulate as a joint contour fragment grouping and labeling problem. For a given set of...
ChengEn Lu, Longin Jan Latecki, Nagesh Adluru, Hai...
CVPR
2001
IEEE
16 years 9 months ago
Light Field Rendering for Large-Scale Scenes
In this paper, we present an efficient method to synthesize large-scale scenes, such as broad city landscapes. To date, model based approaches have mainly been adopted for this pu...
Hiroshi Kawasaki, Katsushi Ikeuchi, Masao Sakauchi
CVPR
2005
IEEE
16 years 9 months ago
Detecting, Localizing and Recovering Kinematics of Textured Animals
We develop and demonstrate an object recognition system capable of accurately detecting, localizing, and recovering the kinematic configuration of textured animals in real images....
Deva Ramanan, David A. Forsyth, Kobus Barnard
CVPR
2007
IEEE
16 years 9 months ago
Monocular and Stereo Methods for AAM Learning from Video
The active appearance model (AAM) is a powerful method for modeling deformable visual objects. One of the major drawbacks of the AAM is that it requires a training set of pseudo-d...
Jason Saragih, Roland Göcke
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