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» Boosting Object Detection Using Feature Selection
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128
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IROS
2006
IEEE
239views Robotics» more  IROS 2006»
15 years 8 months ago
Development of a Facial Expression Imitation System
— In the last decade, face analysis, e.g. face recognition, face detection, face tracking and facial expression recognition, is a very lively and expanding research field. As com...
Do Hyoung Kim, Sung-Uk Jung, Kwang Ho An, Hui Sung...
135
Voted
SIGGRAPH
1995
ACM
15 years 6 months ago
Versatile and efficient techniques for simulating cloth and other deformable objects
We are presenting techniques for simulating the motion and the deformation of cloth, fabrics or, more generally, deformable surfaces. Our main goal is to be able to simulate any k...
Pascal Volino, Martin Courchesne, Nadia Magnenat-T...
129
Voted
ICCV
2007
IEEE
16 years 4 months ago
Learning Structured Appearance Models from Captioned Images of Cluttered Scenes
Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to learn both the names and appearances of the objects. Only a...
Michael Jamieson, Afsaneh Fazly, Sven J. Dickinson...
127
Voted
CVPR
2008
IEEE
16 years 4 months ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Vidit Jain, Amit Singhal, Jiebo Luo
132
Voted
BMVC
2010
15 years 1 days ago
Improving bag-of-features action recognition with non-local cues
Local space-time features have recently shown promising results within Bag-of-Features (BoF) approach to action recognition in video. Pure local features and descriptors, however,...
Muhammad Muneeb Ullah, Sobhan Naderi Parizi, Ivan ...