616 search results - page 30 / 124 » Learning Hierarchical Models of Scenes, Objects, and Parts |
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
We define a new “contour person” model of the human body that has the expressive power of a detailed 3D model and the computational benefits of a simple 2D part-based model....
ICIP
2007
IEEE
15 years 11 months ago
2007
IEEE
A new method for object tracking in video sequences is presented. This method exploits the benefits of particle filters to tackle the multimodal distributions emerging from clutte...
IJCV
2000
14 years 9 months ago
2000
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
IJCAI
2001
14 years 11 months ago
2001
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. We propose to use recurrent neural networks for both analysi...