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218
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CVPR
2006
IEEE
16 years 28 days ago
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
194
Voted
PCM
2004
Springer
108views Multimedia» more  PCM 2004»
16 years 6 days ago
MPEG-4 Video Retrieval Using Video-Objects and Edge Potential Functions
A novel video retrieval tool based on MPEG-4 video object (VO) representation is presented. The algorithm extends the concept of edge potential functions (EPF), already used in sha...
Minh-Son Dao, Francesco G. B. De Natale, Andrea Ma...
177
Voted
CVPR
2003
IEEE
16 years 5 days ago
Analyzing Appearance and Contour Based Methods for Object Categorization
Object recognition has reached a level where we can identify a large number of previously seen and known objects. However, the more challenging and important task of categorizing ...
Bastian Leibe, Bernt Schiele
ACIVS
2006
Springer
15 years 10 months ago
Constrained Region-Growing and Edge Enhancement Towards Automated Semantic Video Object Segmentation
Most existing object segmentation algorithms suffer from a so-called under-segmentation problem, where parts of the segmented object are missing and holes often occur inside the ob...
L. Gao, J. Jiang, S. Y. Yang
IJCV
2008
151views more  IJCV 2008»
15 years 6 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...