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» A Structural Framework for Assembly Modeling and Recognition
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121
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ICCV
2005
IEEE
15 years 9 months ago
Learning Hierarchical Models of Scenes, Objects, and Parts
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
203
Voted
CVPR
2009
IEEE
16 years 11 months ago
Understanding Videos, Constructing Plots - Learning a Visually Grounded Storyline Model from Annotated Videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline...
Abhinav Gupta (University of Maryland), Praveen Sr...
136
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CVPR
2009
IEEE
15 years 10 months ago
Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline ...
Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, Lar...
122
Voted
JMLR
2010
169views more  JMLR 2010»
14 years 10 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....
150
Voted
ICLP
2004
Springer
15 years 9 months ago
Applying CLP to Predict Extra-Functional Properties of Component-Based Models
A component is the basic re-usable unit of composition to build composite systems by connecting to others through their provided and required ports. Checking the functional complia...
Olivier Defour, Jean-Marc Jézéquel, ...