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» Objects and Occlusion from Motion Labeling
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CVPR
2011
IEEE
13 years 7 months ago
On Deep Generative Models with Applications to Recognition
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...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
CVPR
2005
IEEE
15 years 26 days ago
Real-Time Non-Rigid Surface Detection
We present a real-time method for detecting deformable surfaces, with no need whatsoever for a priori pose knowledge. Our method starts from a set of wide baseline point matches b...
Julien Pilet, Vincent Lepetit, Pascal Fua
IJCV
2008
173views more  IJCV 2008»
13 years 11 months ago
Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation
We present a real-time method for detecting deformable surfaces, with no need whatsoever for a priori pose knowledge. Our method starts from a set of wide baseline point matches be...
Julien Pilet, Vincent Lepetit, Pascal Fua
TOMCCAP
2010
202views more  TOMCCAP 2010»
13 years 5 months ago
Audio-visual atoms for generic video concept classification
We investigate the challenging issue of joint audio-visual analysis of generic videos targeting at semantic concept detection. We propose to extract a novel representation, the Sh...
Wei Jiang, Courtenay V. Cotton, Shih-Fu Chang, Dan...
IVC
2002
185views more  IVC 2002»
13 years 10 months ago
Path detection in video surveillance
This paper addresses the problem of automatically extracting frequently used pedestrian pathways from video sequences of natural outdoor scenes. Path models are learnt from the ac...
Dimitrios Makris, Tim Ellis