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IJCV
2008
223views more  IJCV 2008»
13 years 10 months ago
Robust Object Detection with Interleaved Categorization and Segmentation
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
Bastian Leibe, Ales Leonardis, Bernt Schiele
GIAE
2004
Springer
187views Mathematics» more  GIAE 2004»
14 years 3 months ago
nD Object Representation and Detection from Single 2D Line Drawing
In this paper, we propose the wireframe representation of nD object, which is a single 2D line drawing. A wireframe model of an nD object is composed of a set of edges connecting a...
Hongbo Li, Quan Wang, Lina Zhao, Ying Chen, Lei Hu...
DAGM
2008
Springer
13 years 12 months ago
A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
Christoph H. Lampert, Matthew B. Blaschko
CVPR
2009
IEEE
15 years 5 months ago
Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer
We study the problem of object classification when training and test classes are disjoint, i.e. no training examples of the target classes are available. This setup has hardly be...
Christoph H. Lampert, Hannes Nickisch, Stefan Harm...
ICCV
2009
IEEE
15 years 3 months ago
Multi-Scale Object Detection by Clustering Lines
Object detection in cluttered, natural scenes has a high complexity since many local observations compete for object hypotheses. Voting methods provide an efficient solution to ...
Bjorn Ommer, Jitendra Malik