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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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CVPR
2012
IEEE
11 years 10 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
IPMI
2011
Springer
12 years 11 months ago
Fast Brain Matching with Spectral Correspondence
Abstract. Brain matching is an important problem in neuroimaging studies. Current surface-based methods for cortex matching and atlasing, although quite accurate, can require long ...
Herve Lombaert, Leo Grady, Jonathan R. Polimeni, F...
ISI
2006
Springer
13 years 7 months ago
Database Security Protection Via Inference Detection
Access control mechanisms are commonly used to provide control over who may access sensitive information. However, malicious users can exploit the correlation among the data and in...
Yu Chen, Wesley W. Chu
SIGGRAPH
1999
ACM
13 years 12 months ago
Environment Matting and Compositing
This paper introduces a new process, environment matting, which captures not just a foreground object and its traditional opacity matte from a real-world scene, but also a descrip...
Douglas E. Zongker, Dawn M. Werner, Brian Curless,...
VISUAL
2000
Springer
13 years 11 months ago
Statistical Motion-Based Retrieval with Partial Query
We present an original approach for motion-based retrieval involving partial query. More precisely, we propose an uni ed statistical framework both to extract entities of interest ...
Ronan Fablet, Patrick Bouthemy