[Colloquium] Alan Yuille (UCLA Stat Dept): TTI-C Talk

[Julia MacGlashan]

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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