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99
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PAMI
2010
192views more  PAMI 2010»
15 years 1 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum
127
Voted
ICCV
2009
IEEE
1035views Computer Vision» more  ICCV 2009»
16 years 7 months ago
Efficient High-Quality Image Contour Detection
Image contour detection is fundamental to many image analysis applications, including image segmentation, object recognition and classification. However, highly accurate image c...
Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram,...
150
Voted
IWVF
2001
Springer
15 years 7 months ago
Judging Whether Multiple Silhouettes Can Come from the Same Object
We consider the problem of recognizing an object from its silhouette. We focus on the case in which the camera translates, and rotates about a known axis parallel to the image, suc...
David W. Jacobs, Peter N. Belhumeur, Ian Jermyn
122
Voted
ICIP
2005
IEEE
16 years 4 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
138
Voted
CVPR
2011
IEEE
14 years 6 months ago
Entropy Rate Superpixel Segmentation
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Ram...