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CVPR
2009
IEEE
16 years 5 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...
CVPR
2011
IEEE
14 years 1 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...
ICCV
2005
IEEE
15 years 11 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...
CVPR
2005
IEEE
15 years 11 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...
ICCV
2005
IEEE
15 years 11 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...