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» Localizing Objects while Learning Their Appearance
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CVPR
2011
IEEE
13 years 3 months ago
Scalable Multi-class Object Detection
Scalability of object detectors with respect to the number of classes is a very important issue for applications where many object classes need to be detected. While combining sin...
Nima Razavi, Juergen Gall, Luc VanGool
CLOR
2006
13 years 11 months ago
A Discriminative Framework for Texture and Object Recognition Using Local Image Features
This chapter presents an approach for texture and object recognition that uses scale- or affine-invariant local image features in combination with a discriminative classifier. Text...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
IJCV
2010
158views more  IJCV 2010»
13 years 6 months ago
Metric Learning for Image Alignment
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
Minh Hoai Nguyen, Fernando De la Torre
CVPR
2009
IEEE
2216views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Object Detection using a Max-Margin Hough Transform
We present a discriminative Hough transform based ob- ject detector where each local part casts a weighted vote for the possible locations of the object center. We show that the ...
Subhransu Maji (University of California, Berkeley...
CVPR
2008
IEEE
13 years 9 months ago
Improving local learning for object categorization by exploring the effects of ranking
Local learning for classification is useful in dealing with various vision problems. One key factor for such approaches to be effective is to find good neighbors for the learning ...
Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang