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» Statistical Models of Appearance for Computer Vision
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123
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ICCV
2005
IEEE
15 years 9 months ago
Non-Negative Lighting and Specular Object Recognition
Recognition of specular objects is particularly difficult because their appearance is much more sensitive to lighting changes than that of Lambertian objects. We consider an appr...
Sameer Shirdhonkar, David W. Jacobs
144
Voted
POS
1998
Springer
15 years 7 months ago
Concurrency - The Fly in the Ointment?
Concurrency is a central pillar of the Java programming language, is implicit in the transactional model of computation adopted by most persistent systems, and has been widely stu...
Stephen Blackburn, John N. Zigman
142
Voted
CVPR
2011
IEEE
14 years 11 months ago
Learning the Easy Things First: Self-Paced Visual Category Discovery
Objects vary in their visual complexity, yet existing discovery methods perform “batch” clustering, paying equal attention to all instances simultaneously—regardless of the ...
Yong Jae Lee, Kristen Grauman
128
Voted
IMAGING
2003
15 years 5 months ago
Color and Color Constancy in a Translation Model for Object Recognition
Color is of interest to those working in computer vision largely because it is assumed to be helpful for recognition. This assumption has driven much work in color based image ind...
Kobus Barnard, Prasad Gabbur
130
Voted
CVPR
2007
IEEE
16 years 5 months ago
Capturing long-range correlations with patch models
The use of image patches to capture local correlations between pixels has been growing in popularity for use in various low-level vision tasks. There is a trade-off between using ...
Vincent Cheung, Nebojsa Jojic, Dimitris Samaras