[4eyes] FW: [Faculty] CS Colloquium: April 20, 2010: Fernando De La Torre

[Matthew Turk]

I guess you've all seen this, but one more time as a reminder.... Fernando
is a great researcher and a good speaker.

	Matthew

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Subject: [Faculty] CS Colloquium: April 20, 2010: Fernando De La Torre

UCSB COMPUTER SCIENCE DEPARTMENT PRESENTS:

Tuesday, April 20, 2010
2:00 - 3:00 PM
Computer Science Conference Room, Harold Frank Hall Rm. 1132

HOST: Matthew Turk

SPEAKER: Fernando De la Torre
Robotics Institute, Carnegie Mellon University

Title: Learning Components for Human Sensing

Abstract:

Providing computers with the ability to understand human behavior from 
sensory data (e.g. video, audio, or wearable sensors) is an essential 
part of many applications that can benefit society such as clinical 
diagnosis, human computer interaction, and social robotics. A critical 
element in the design of any behavioral sensing system is to find a good 
representation of the data for encoding, segmenting, classifying and 
predicting subtle human behavior. In this talk I will propose several 
extensions of Component Analysis (CA) techniques (e.g., kernel principal 
component analysis, support vector machines, and spectral clustering) 
that are able to learn spatio-temporal representations or components 
useful in many human sensing tasks.

In the first part of the talk I will give an overview of several ongoing 
projects in the CMU Human Sensing Laboratory, including our current work 
on depression assessment from video, as well as hot-flash detection from 
wearable sensors. In the second part of the talk I will show how several 
extensions of the CA methods outperform state-of-the-art algorithms in 
problems such as temporal alignment of human behavior, temporal 
segmentation/clustering of human activities, joint segmentation and 
classification of human behavior, and facial feature detection in 
images. The talk will be adaptive, and I will discuss the topics of 
major interest to the audience.

Bio:

Fernando De la Torre received his B.Sc. degree in Telecommunications 
(1994), M.Sc. (1996), and Ph. D. (2002) degrees in Electronic 
Engineering from La Salle School of Engineering in Ramon Llull 
University, Barcelona, Spain. In 1997 and 2000 he was an Assistant and 
Associate Professor in the Department of Communications and Signal 
Theory in Enginyeria La Salle. Since 2005 he has been a Research 
Assistant Professor in the Robotics Institute at Carnegie Mellon 
University. Dr. De la Torre's research interests include computer vision 
and machine learning, in particular face analysis, optimization and 
component analysis methods, and its applications to human sensing. Dr. 
De la Torre co-organized the first workshop on component analysis 
methods for modeling, classification and clustering problems in computer 
vision in conjunction with CVPR'07, and the workshop on human sensing 
from video jointly with CVPR'06. He has also given several tutorials at 
international conferences (ECCV'06, CVPR'06, ICME'07, ICPR'08) on the 
use and extensions of component analysis methods. Currently he leads the 
Component Analysis Laboratory (http://ca.cs.cmu.edu) and the Human 
Sensing Laboratory (http://humansensing.cs.cmu.edu).


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