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ECCV
2008
Springer
14 years 9 months ago
2008
Springer
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
MM
2010
ACM
13 years 7 months ago
2010
ACM
This paper presents an interactive image segmentation framework which is ultra-fast and accurate. Our framework, termed "CO3", consists of three components: COupled repr...
JCDL
2003
ACM
14 years 25 days ago
2003
ACM
The increasing power of techniques to model complex geometry and extract meaning from 3D information create complex data that must be described, stored, and displayed to be useful...
CVPR
2007
IEEE
14 years 1 months ago
2007
IEEE
In this paper, a generic rule induction framework based on trajectory series analysis is proposed to learn the event rules. First the trajectories acquired by a tracking system ar...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...