250
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CVPR
2012
IEEE
13 years 8 months ago
2012
IEEE
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
260
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CVPR
2012
IEEE
13 years 8 months ago
2012
IEEE
This paper proposes contour-based features for articulated pose estimation. Most of recent methods are designed using tree-structured models with appearance evaluation only within...
256
click to vote
CVPR
2012
IEEE
13 years 8 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
244
click to vote
CVPR
2012
IEEE
13 years 8 months ago
2012
IEEE
In this paper we introduce Structured Local Predictors (SLP) – A new formulation that considers the image labelling problem from a structured learning point of view. SLP are loc...
245
click to vote
CVPR
2012
IEEE
13 years 8 months ago
2012
IEEE
In this paper we study the problem of online aligning a newly arrived image to previously well-aligned images. Inspired by recent advances in batch image alignment using low rank ...