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222
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CVPR
2011
IEEE
15 years 3 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
212
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CVPR
2011
IEEE
15 years 3 months ago
2011
IEEE
Recognizing faces in unconstrained videos is a task of mounting importance. While obviously related to face recognition in still images, it has its own unique characteristics and ...
230
Voted
CVPR
2011
IEEE
15 years 3 months ago
2011
IEEE
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...
221
Voted
CVPR
2011
IEEE
15 years 3 months ago
2011
IEEE
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
241
Voted
CVPR
2011
IEEE
15 years 2 months ago
2011
IEEE
In this paper, we address the problem of shadow detection and removal from single images of natural scenes. Different from traditional methods that explore pixel or edge informati...