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ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
14 years 1 months ago
Belief Propagation in Large, Highly Connected Graphs for 3D Part-Based Object Recognition
We describe a part-based object-recognition framework, specialized to mining complex 3D objects from detailed 3D images. Objects are modeled as a collection of parts together with...
Frank DiMaio, Jude W. Shavlik
NN
2002
Springer
114views Neural Networks» more  NN 2002»
13 years 7 months ago
Learning the parts of objects by auto-association
Recognition-by-components is one of the possible strategies proposed for object recognition by the brain, but little is known about the low-level mechanism by which the parts of o...
Xijin Ge, Shuichi Iwata
CVPR
2012
IEEE
11 years 10 months ago
Augmenting deformable part models with irregular-shaped object patches
The performance of part-based object detectors generally degrades for highly flexible objects. The limited topological structure of models and pre-specified part shapes are two ...
Roozbeh Mottaghi
PAMI
2010
249views more  PAMI 2010»
13 years 6 months ago
Object Detection with Discriminatively Trained Part-Based Models
—We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-...
Pedro F. Felzenszwalb, Ross B. Girshick, David A. ...
ICCV
2011
IEEE
12 years 7 months ago
Object Detection and Segmentation from Joint Embedding of Parts and Pixels
We present a new framework in which image segmentation, figure/ground organization, and object detection all appear as the result of solving a single grouping problem. This frame...
Michael Maire, Stella X. Yu, Pietro Perona