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» Learning Generic Prior Models for Visual Computation
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GI
2010
Springer
14 years 7 months ago
Semantics and Execution of Domain Specific Models
: paper we present a two-level approach to extend the abstract syntax of models with concrete semantics in order to execute such models. First, a light-weight execution infrastruct...
Christian Motika, Hauke Fuhrmann, Reinhard von Han...
CVPR
2005
IEEE
15 years 11 months ago
Cloth Representation by Shape from Shading with Shading Primitives
Cloth is a complex visual pattern with flexible 3D shape and illumination variations. Computing the 3D shape of cloth from a single image is of great interest to both computer gra...
Feng Han, Song Chun Zhu
ICCV
2001
IEEE
15 years 11 months ago
Learning the Semantics of Words and Pictures
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features...
Kobus Barnard, David A. Forsyth
CVPR
2010
IEEE
15 years 6 months ago
The Role of Features, Algorithms and Data in Visual Recognition
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...
Devi Parikh and C. Lawrence Zitnick
ICPR
2004
IEEE
15 years 11 months ago
Kernel Autoassociator with Applications to Visual Classification
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
Bailing Zhang, Haihong Zhang, Weimin Huang, Zhiyon...