616 search results - page 49 / 124 » Learning Hierarchical Models of Scenes, Objects, and Parts |
208
Voted
CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
153
click to vote
CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
We describe a simple model for parsing pedestrians based on shape. Our model assembles candidate parts from an oversegmentation of the image and matches them to a library of exemp...
172
click to vote
ICCV
2005
IEEE
16 years 8 months ago
2005
IEEE
We present a two-layer hierarchical formulation to exploit different levels of contextual information in images for robust classification. Each layer is modeled as a conditional f...
159
click to vote
CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
In this paper, we address the problem of detecting pedestrians in crowded real-world scenes with severe overlaps. Our basic premise is that this problem is too difficult for any t...
172
click to vote
ICCV
2005
IEEE
16 years 8 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...