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ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
15 years 19 days ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
CVPR
2001
IEEE
14 years 9 months ago
Generic Model Abstraction from Examples
Model Abstraction from Examples Yakov Keselman, Member, IEEE, and Sven Dickinson, Member, IEEE The recognition community has typically avoided bridging the representational gap bet...
Yakov Keselman, Sven J. Dickinson
CVPR
2010
IEEE
14 years 3 months ago
Detecting and Sketching the Common
Given very few images containing a common object of interest under severe variations in appearance, we detect the common object and provide a compact visual representation of that...
Shai Bagon, Or Brostovski, Meirav Galun, Michal Ir...
ECCV
2000
Springer
14 years 9 months ago
Learning to Recognize 3D Objects with SNoW
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
CGF
2007
158views more  CGF 2007»
13 years 7 months ago
Manipulating, Deforming and Animating Sampled Object Representations
A sampled object representation (SOR) defines a graphical model using data obtained from a sampling process, which takes a collection of samples at discrete positions in space in...
Min Chen, Carlos D. Correa, Shoukat Islam, Mark W....