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AAAI
2012
13 years 9 months 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
MICCAI
2007
Springer
16 years 7 months ago
Adaptive Metamorphs Model for 3D Medical Image Segmentation
Abstract. In this paper, we introduce an adaptive model-based segmentation framework, in which edge and region information are integrated and used adaptively while a solid model de...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas,...
ICPR
2004
IEEE
16 years 8 months ago
Discriminatory Power of Handwritten Words for Writer Recognition
Analysis of allographs (characters) and allograph combinations (words) is the key for the identification/verification of a writer's handwriting. While allographs are usually ...
Bin Zhang, Catalin I. Tomai, Sargur N. Srihari
CVPR
2011
IEEE
15 years 3 months ago
A generative model for 3D urban scene understanding from movable platforms
3D scene understanding is key for the success of applications such as autonomous driving and robot navigation. However, existing approaches either produce a mild level of understa...
Andreas Geiger, Martin Lauer, Raquel Urtasun
ISBI
2006
IEEE
16 years 7 months ago
Sketch initialized Snakes for rapid, accurate and repeatable interactive medical image segmentation
We combine a pen and pressure-sensitive tablet input device, and a sketch-based user initialization process, with a general subdivisioncurve Snake to create an intuitive, fast, ac...
Tim McInerney, M. Reza Akhavan Sharif