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» Graph-Theoretical Methods in Computer Vision
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14 years 8 months ago
Activity Understanding and Unusual Event Detection in Surveillance Videos
Computer scientists have made ceaseless efforts to replicate cognitive video understanding abilities of human brains onto autonomous vision systems. As video surveillance cameras ...
Chen Change Loy
142
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DAGM
2011
Springer
14 years 11 days ago
Putting MAP Back on the Map
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
Patrick Pletscher, Sebastian Nowozin, Pushmeet Koh...
CVPR
2008
IEEE
16 years 2 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
ICCV
2007
IEEE
16 years 2 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
101
Voted
ICCV
2007
IEEE
16 years 2 months ago
Non-metric affinity propagation for unsupervised image categorization
Unsupervised categorization of images or image parts is often needed for image and video summarization or as a preprocessing step in supervised methods for classification, trackin...
Delbert Dueck, Brendan J. Frey
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