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114
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PAMI
2008
145views more  PAMI 2008»
15 years 19 days ago
Latent-Space Variational Bayes
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang
120
Voted
ICCV
2009
IEEE
16 years 5 months ago
A Global Perspective on MAP Inference for Low-Level Vision
In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...
113
Voted
CVPR
2004
IEEE
16 years 2 months ago
Proposal Maps Driven MCMC for Estimating Human Body Pose in Static Images
This paper addresses the problem of estimating human body pose in static images. This problem is challenging due to the high dimensional state space of body poses, the presence of...
Mun Wai Lee, Isaac Cohen
108
Voted
CVPR
2006
IEEE
16 years 2 months ago
Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval
This paper develops an efficient new method for 3D partial shape retrieval. First, a Monte Carlo sampling strategy is employed to extract local shape signatures from each 3D model...
Yi Liu, Hongbin Zha, Hong Qin
ICCV
2005
IEEE
16 years 2 months ago
Fusion of Multi-View Silhouette Cues Using a Space Occupancy Grid
In this paper, we investigate what can be inferred from several silhouette probability maps, in multi-camera environments. To this aim, we propose a new framework for multi-view s...
Jean-Sébastien Franco, Edmond Boyer