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103
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CVPR
2003
IEEE
16 years 2 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
14 years 11 months ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi
111
Voted
SCALESPACE
2007
Springer
15 years 7 months ago
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers
In this paper, we address the problem of estimating mesoscale dynamics of atmospheric layers from satellite image sequences. Relying on a physically sound vertical decomposition of...
Patrick Héas, Étienne Mémin, ...
NIPS
2001
15 years 2 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
103
Voted
DIAGRAMS
2006
Springer
15 years 2 months ago
From Diagrams to Models by Analogical Transfer
Abstract. We present a method for constructing a teleological model of a drawing of a physical device through analogical transfer of the teleological model of the same device in an...
Patrick W. Yaner, Ashok K. Goel