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» Modeling Selective Perception of Complex, Natural Scenes
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CVPR
2007
IEEE
15 years 12 months ago
Unsupervised Activity Perception by Hierarchical Bayesian Models
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Xiaogang Wang, Xiaoxu Ma, Eric Grimson
ICCV
2011
IEEE
13 years 10 months ago
A String of Feature Graphs Model for Recognition of Complex Activities in Natural Videos
Videos usually consist of activities involving interactions between multiple actors, sometimes referred to as complex activities. Recognition of such activities requires modeling ...
Utkarsh Gaur, Yingying Zhu, Bi Song, Amit Roy-Chow...
ICMI
2003
Springer
164views Biometrics» more  ICMI 2003»
15 years 3 months ago
A visually grounded natural language interface for reference to spatial scenes
Many user interfaces, from graphic design programs to navigation aids in cars, share a virtual space with the user. Such applications are often ideal candidates for speech interfa...
Peter Gorniak, Deb Roy
AVI
2006
14 years 11 months ago
An evaluation of depth perception on volumetric displays
We present an experiment that compares volumetric displays to existing 3D display techniques in three tasks that require users to perceive depth in 3D scenes. Because they generat...
Tovi Grossman, Ravin Balakrishnan
ICIAP
2007
ACM
15 years 10 months ago
Natural scenes categorization by hierarchical extraction of typicality patterns
Natural scene categorization of images represents a very useful task for automatic image analysis systems in a wide variety of applications. In the literature, several methods hav...
Alessandro Perina, Marco Cristani, Vittorio Murino