Sciweavers

616 search results - page 3 / 124
» Learning Hierarchical Models of Scenes, Objects, and Parts
Sort
View
ICML
2009
IEEE
14 years 5 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
CVPR
2007
IEEE
14 years 6 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
CVPR
2010
IEEE
13 years 12 months ago
Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection
We propose Recursive Compositional Models (RCMs) for simultaneous multi-view multi-object detection and parsing (e.g. view estimation and determining the positions of the object s...
Leo Zhu, Yuanhao Chen, Antonio Torralba, William F...
NIPS
1996
13 years 6 months ago
Neural Models for Part-Whole Hierarchies
We present a connectionist method for representing images that explicitlyaddresses their hierarchicalnature. It blends data fromneuroscience about whole-object viewpoint sensitive...
Maximilian Riesenhuber, Peter Dayan
CGI
1998
IEEE
13 years 9 months ago
An Object-Oriented Approach to Model Scenes of Buildings
This paper presents an object-oriented approach for describing and modelling buildings by means of computer graphics. The approach is based on an object- and component-oriented gr...
Thierry Matthey, Hanspeter Bieri