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AAAI
2012
12 years 1 days ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti
CVPR
2006
IEEE
14 years 11 months ago
Supervised Learning of Edges and Object Boundaries
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
Piotr Dollár, Zhuowen Tu, Serge Belongie
CVPR
2008
IEEE
14 years 11 months ago
Object recognition and segmentation by non-rigid quasi-dense matching
In this paper, we present a non-rigid quasi-dense matching method and its application to object recognition and segmentation. The matching method is based on the match propagation...
Esa Rahtu, Janne Heikkilä, Juho Kannala, Sami...
IPMI
2003
Springer
14 years 10 months ago
Object-Based Strategy for Morphometry of the Cerebral Cortex
Most of the approaches dedicated to automatic morphometry rely on a point-by-point strategy based on warping each brain towards a reference coordinate system. In this paper, we des...
Jean-Francois Mangin, Denis Rivière, Arnaud...
DSN
2007
IEEE
14 years 4 months ago
Reliability Techniques for RFID-Based Object Tracking Applications
Radio Frequency Identification (RFID) technology has the potential to dramatically improve numerous industrial practices. However, it still faces many challenges, including secur...
Ahmad Rahmati, Lin Zhong, Matti A. Hiltunen, Rittw...