[Colloquium] Alan Yuille (UCLA Stat Dept): TTI-C Talk
Julia MacGlashan
macglashan at tti-c.org
Wed May 28 09:16:10 CDT 2008
When: Thursday, May 29 @ 3:00pm
Where: TTI-C Conference Room, 1427 E. 60th St., 2nd Floor
Who: Alan Yuille, UCLA Statistics Department
Topic: Discriminative Learning for Deformable Object Parsing
Work with (Leo) Log Zhu.
We propose hierarchical models for representing shape and appearance of
deformable objects. These models are learnt in a discriminative manner using
techniques such as structure-perceptron and max-margin. We describe rapid
inference algorithms which can parse these models efficiently. These
approaches are demonstrated on horses, humans, faces and a range of other
objects. We evaluate the effectiveness of these models on standard
benchmarked databases for tasks such as detection, segmentation, matching
and parsing.
Contact: David McAllester, TTI-C mcallester at tti-c.org
702-5562
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