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ICPR
2010
IEEE
14 years 3 months ago
Object Recognition and Localization Via Spatial Instance Embedding
—We propose an approach for improving object recognition and localization using spatial kernels together with instance embedding. Our approach treats each image as a bag of insta...
Nazli Ikizler Cinbis, Stan Sclaroff
ICB
2007
Springer
207views Biometrics» more  ICB 2007»
14 years 19 days ago
Super-Resolved Faces for Improved Face Recognition from Surveillance Video
Characteristics of surveillance video generally include low resolution and poor quality due to environmental, storage and processing limitations. It is extremely difficult for comp...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...
CVPR
2012
IEEE
11 years 11 months ago
SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
Carolina Redondo-Cabrera, Roberto Javier Ló...
CVPR
2009
IEEE
2216views Computer Vision» more  CVPR 2009»
15 years 4 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...
DICTA
2009
13 years 9 months ago
Modeling Image Context Using Object Centered Grid
Abstract--Context plays a valuable role in any image understanding task confirmed by numerous studies which have shown the importance of contextual information in computer vision t...
Sobhan Naderi Parizi, Ivan Laptev, Alireza Tavakol...