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» Learning a Category Independent Object Detection Cascade
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ICCV
2007
IEEE
16 years 1 months ago
How Good are Local Features for Classes of Geometric Objects
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
Michael Stark, Bernt Schiele
CVPR
2007
IEEE
16 years 1 months ago
Saliency Detection: A Spectral Residual Approach
The ability of human visual system to detect visual saliency is extraordinarily fast and reliable. However, computational modeling of this basic intelligent behavior still remains...
Xiaodi Hou, Liqing Zhang
IJCV
2008
151views more  IJCV 2008»
14 years 11 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
ICCV
2005
IEEE
16 years 1 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
CVPR
2011
IEEE
14 years 7 months ago
What Makes a Chair a Chair?
Many object classes are primarily defined by their functions. However, this fact has been left largely unexploited by visual object categorization or detection systems. We propos...
Helmut Grabner, Juergen Gall, Luc VanGool