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» Learning 3D Appearance Models from Video
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NIPS
2000
13 years 10 months ago
Learning Joint Statistical Models for Audio-Visual Fusion and Segregation
People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
John W. Fisher III, Trevor Darrell, William T. Fre...
ICPR
2008
IEEE
14 years 3 months ago
Finite element modeling of facial deformation in videos for computing strain pattern
We present a finite element modeling based approach to compute strain patterns caused by facial deformation during expressions in videos. A sparse motion field computed through ...
Vasant Manohar, Matthew Shreve, Dmitry B. Goldgof,...
AVI
2004
13 years 10 months ago
Temporal Thumbnails: rapid visualization of time-based viewing data
We introduce the concept of the Temporal Thumbnail, used to quickly convey information about the amount of time spent viewing specific areas of a virtual 3D model. Temporal Thumbn...
Michael Tsang, Nigel Morris, Ravin Balakrishnan

Publication
335views
11 years 11 months ago
Person Re-Identification: What Features are Important?
State-of-the-art person re-identi cation methods seek robust person matching through combining various feature types. Often, these features are implicitly assigned with a single ve...
Chunxiao Liu, Shaogang Gong, Chen Change Loy, Xing...
NIPS
2007
13 years 10 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Vittorio Ferrari, Andrew Zisserman