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» Detecting branching structures using local Gaussian models
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CVPR
2012
IEEE
13 years 3 days 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....
TMM
2002
130views more  TMM 2002»
14 years 9 months ago
Computable scenes and structures in films
In this paper, we present a computational scene model and also derive novel algorithms for computing audio and visual scenes and within-scene structures in films. We use constraint...
Hari Sundaram, Shih-Fu Chang
JMLR
2010
169views more  JMLR 2010»
14 years 4 months ago
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images
Deep belief nets have been successful in modeling handwritten characters, but it has proved more difficult to apply them to real images. The problem lies in the restricted Boltzma...
Marc'Aurelio Ranzato, Alex Krizhevsky, Geoffrey E....
CGF
2004
97views more  CGF 2004»
14 years 9 months ago
Implicit Visualization and Inverse Modeling of Growing Trees
A method is proposed for photo-realistic modeling and visualization of a growing tree. Recent visualization methods have focused on producing smoothly blending branching structure...
Callum Galbraith, Lars Mündermann, Brian Wyvi...
ACCV
2010
Springer
14 years 4 months ago
A Weak Structure Model for Regular Pattern Recognition Applied to Facade Images
Abstract. We propose a novel method for recognition of structured images and demonstrate it on detection of windows in facade images. Given an ability to obtain local low-level dat...
Radim Tylecek, Radim Sára