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ICCV
2007
IEEE
16 years 2 months ago
Real-time Accurate Object Detection using Multiple Resolutions
We propose a multi-resolution framework inspired by human visual search for general object detection. Different resolutions are represented using a coarse-to-fine feature hierarch...
Wei Zhang 0002, Gregory J. Zelinsky, Dimitris Sama...
ICCV
2007
IEEE
16 years 2 months ago
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu...

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253profile views
lndbrgProfessor, Assistant
BCU

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265profile views
Jizhou GaoStudent, PhD
University of Kentucky
Jizhou Gao

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363profile views
tidyupEngineer
Specterra Services

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234profile views
mungkolStudent, PhD
Waseda University
CVPR
2000
IEEE
16 years 2 months ago
A Linear Algorithm for Camera Self-Calibration, Motion and Structure Recovery for Multi-Planar Scenes from Two Perspective Image
In this paper we show that given two homography matrices for two planes in space, there is a linear algorithm for the rotation and translation between the two cameras, the focal l...
Gang Xu, Jun-ichi Terai, Heung-Yeung Shum
128
Voted
CVPR
2008
IEEE
16 years 2 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
100
Voted
CVPR
2008
IEEE
16 years 2 months ago
A discriminatively trained, multiscale, deformable part model
This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a two-fold improvement in average precision over the b...
Pedro F. Felzenszwalb, David A. McAllester, Deva R...
CVPR
2008
IEEE
1042views Computer Vision» more  CVPR 2008»
16 years 2 months ago
Graph cut based image segmentation with connectivity priors
Graph cut is a popular technique for interactive image segmentation. However, it has certain shortcomings. In particular, graph cut has problems with segmenting thin elongated obj...
Sara Vicente, Vladimir Kolmogorov, Carsten Rother