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» Learning 3D Appearance Models from Video
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NIPS
2000
15 years 5 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
15 years 10 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
15 years 5 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
13 years 6 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
15 years 5 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