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» Efficient Learning to Label Images
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CVPR
2008
IEEE
15 years 12 months ago
Boosted deformable model for human body alignment
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...
Xiaoming Liu 0002, Ting Yu, Thomas Sebastian, Pete...
ISBI
2004
IEEE
15 years 10 months ago
A Method for Reconstructing Label Images From a Few Projections, as Motivated by Electron Microscopy
Our aim is to produce a tessellation of space into small voxels and, based on only a few tomographic projections of an object, assign to each voxel a label that indicates one of t...
Hstau Y. Liao, Gabor T. Herman
CVPR
2008
IEEE
15 years 12 months ago
Small codes and large image databases for recognition
The Internet contains billions of images, freely available online. Methods for efficiently searching this incredibly rich resource are vital for a large number of applications. Th...
Antonio B. Torralba, Robert Fergus, Yair Weiss
CVPR
2009
IEEE
15 years 4 months ago
Automatic facial landmark labeling with minimal supervision
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
Yan Tong, Xiaoming Liu 0002, Frederick W. Wheeler,...
ICIP
2009
IEEE
14 years 7 months ago
Labelfaces: Parsing facial features by multiclass labeling with an epitome prior
We consider the problem of parsing facial features from an image labeling perspective. We learn a per-pixel unary classifier, and a prior over expected label configurations, allow...
Jonathan Warrell, Simon J. D. Prince