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ECCV
2010
Springer
13 years 11 months ago
What does classifying more than 10,000 image categories tell us?
Image classification is a critical task for both humans and computers. One of the challenges lies in the large scale of the semantic space. In particular, humans can recognize tens...
ECCV
2010
Springer
13 years 8 months ago
What Does Classifying More Than 10, 000 Image Categories Tell Us?
Image classification is a critical task for both humans and computers. One of the challenges lies in the large scale of the semantic space. In particular, humans can recognize tens...
Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei
IEICET
2006
83views more  IEICET 2006»
13 years 7 months ago
Visualization Methods for Outdoor See-Through Vision
Visualizing occluded objects is a useful applications of Mixed Reality (MR), which we call "see-through vision." For this application, it is important to display occlude...
Takahiro Tsuda, Haruyoshi Yamamoto, Yoshinari Kame...
CVPR
2003
IEEE
14 years 9 months ago
Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition
Video-based recognition and prediction of a temporally extended activity can benefit from a detailed description of high-level expectations about the activity. Stochastic grammars...
David Minnen, Irfan A. Essa, Thad Starner
CVPR
2008
IEEE
14 years 9 months ago
Where am I: Place instance and category recognition using spatial PACT
We introduce spatial PACT (Principal component Analysis of Census Transform histograms), a new representation for recognizing instances and categories of places or scenes. Both pl...
Jianxin Wu, James M. Rehg