CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Multi-class classification schemes typically require human input in the form of precise category names or numbers for each example to be annotated – providing this can be impra...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We propose an approach to speeding up object detection, with an emphasis on settings where multiple object classes are being detected. Our method uses a segmentation algorithm to ...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Active Appearance Model (AAM) based face tracking has advantages of accurate alignment, high efficiency, and effectiveness for handling face deformation. However, AAM suffers fro...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Graph-cuts optimization is prevalent in vision and graphics problems. It is thus of great practical importance to parallelize the graph-cuts optimization using today’s ubiquitou...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
This paper addresses the problem of recognizing shadows from monochromatic natural images. Without chromatic information, shadow classification is very challenging because the in...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
This paper proposes a context-constrained hallucination approach for image super-resolution. Through building a training set of high-resolution/low-resolution image segment pairs,...
WACV
2005
IEEE
14 years 4 months ago
2005
IEEE
To facilitate accurate and efficient detection of motion
patterns in video data, it is desirable to abstract from pixel
intensity values to representations that explicitly and co...
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posts
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CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Linear Discriminant Analysis (LDA) is a popular tool for multiclass discriminative dimensionality reduction. However, LDA suffers from two major problems: (1) It only optimizes th...