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161
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
This paper presents a method to quantitatively evaluate
information contributions of individual bottom-up and topdown
computing processes in object recognition. Our objective
is...
174
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CVPR
2001
IEEE
16 years 8 months ago
2001
IEEE
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
188
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
155
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
Recent work shows that recovering pose and velocity from a single view of a moving rigid object is possible with a rolling shutter camera, based on feature point correspondences. ...
164
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...