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PAMI
2010
417views more  PAMI 2010»
15 years 2 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
153
Voted
TMI
2010
175views more  TMI 2010»
14 years 10 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
169
Voted
ASAP
2011
IEEE
233views Hardware» more  ASAP 2011»
14 years 3 months ago
Accelerating vision and navigation applications on a customizable platform
—The domain of vision and navigation often includes applications for feature tracking as well as simultaneous localization and mapping (SLAM). As these problems require computati...
Jason Cong, Beayna Grigorian, Glenn Reinman, Marco...
204
Voted
CVPR
2012
IEEE
13 years 6 months ago
A learning-based framework for depth ordering
Depth ordering is instrumental for understanding the 3D geometry of an image. We as humans are surprisingly good ordering even with abstract 2D line drawings. In this paper we pro...
Zhaoyin Jia, Andrew C. Gallagher, Yao-Jen Chang, T...
CVPR
2008
IEEE
16 years 5 months ago
Robust 3D face recognition in uncontrolled environments
Most current 3D face recognition algorithms are designed based on the data collected in controlled situations, which leads to the un-guaranteed performance in practical systems. I...
Cheng Zhong, Zhenan Sun, Tieniu Tan, Zhaofeng He