616 search results - page 1 / 124 » Learning Hierarchical Models of Scenes, Objects, and Parts |
ICCV
2005
IEEE
13 years 10 months ago
2005
IEEE
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
IJCV
2008
13 years 4 months ago
2008
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
CVPR
2007
IEEE
13 years 11 months ago
2007
IEEE
A successful representation of objects in the literature is as a collection of patches, or parts, with a certain appearance and position. The relative locations of the different p...
CVPR
2004
IEEE
13 years 8 months ago
2004
IEEE
This paper presents a parts-based method for classifying scenes of 3D objects into a set of pre-determined object classes. Working at the part level, as opposed to the whole objec...