[4eyes] FW: [Faculty] CS Colloquium: April 23, 2010: Louis-Philippe Morency

[Matthew Turk]

Folks,

We have (another) visitor tomorrow, Louis-Philippe Morency from the
Institute for Creative Technologies (and the CS department) at USC (see
http://people.ict.usc.edu/~morency/). He's a very interesting guy who works
in multimodal interaction and nonverbal communication, computer vision, and
other areas. His talk should be very interesting.

I'd like to bring him by the lab(s) before and after his 2:00pm talk. Please
let me know if you're available to talk with him a bit about your work (and
if so, when).

Thanks,
	Matthew

-----Original Message-----
From: faculty-bounces at lists.cs.ucsb.edu
[mailto:faculty-bounces at lists.cs.ucsb.edu] On Behalf Of Tiffany Sabado
Sent: Friday, April 16, 2010 9:20 AM
To: faculty at cs.ucsb.edu; grads at cs.ucsb.edu; office at cs.ucsb.edu;
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Subject: [Faculty] CS Colloquium: April 23, 2010: Louis-Philippe Morency

UCSB COMPUTER SCIENCE DEPARTMENT PRESENTS:

Friday, April 23, 2010
2:00 - 3:00
Computer Science Conference Room, Harold Frank Hall Rm. 1132

HOST: Matthew Turk

SPEAKER: Louis-Philippe Morency
Institute for Creative Technologies, University of Southern California

Title: Computational Study Of Nonverbal Social Communication

Abstract:

The goal of this emerging research field is to recognize, model and 
predict human nonverbal behavior in the context of interaction with 
virtual humans, robots and other human participants. At the core of this 
research field is the need for new computational models of human 
interaction emphasizing the multi-modal, multi-participant and 
multi-behavior aspects of human behavior. This multi-disciplinary 
research topic overlaps the fields of multi-modal interaction, social 
psychology, computer vision, machine learning and artificial 
intelligence, and has many applications in areas as diverse as medicine, 
robotics and education.

During my talk, I will focus on three novel approaches to achieve 
efficient and robust nonverbal behavior modeling and recognition: (1) a 
new visual tracking framework (GAVAM) with automatic initialization and 
bounded drift which acquires online the view-based appearance of the 
object, (2) the use of latent-state models in discriminative sequence 
classification (Latent-Dynamic CRF) to capture the influence of 
unobservable factors on nonverbal behavior and (3) the integration of 
contextual information (specifically dialogue context) to improve 
nonverbal prediction and recognition.

Bio:

Dr. Louis-Philippe Morency is currently a research assistant professor 
at the University of Southern California (USC) and research scientist at 
USC Institute for Creative Technologies where he leads the Multimodal 
Communication and Computation Laboratory (MultiComp Lab). He received 
his Ph.D. from MIT Computer Science and Artificial Intelligence 
Laboratory in 2006. His main research interest is computational study of 
nonverbal social communication, a multi-disciplinary research topic that 
overlays the fields of multi-modal interaction, machine learning, 
computer vision, social psychology and artificial intelligence. He 
developed "Watson", a real-time library for nonverbal behavior 
recognition and which became the de-facto standard for adding perception 
to embodied agent interfaces. He received many awards for his work on 
nonverbal behavior computation including three best-paper awards in 2008 
(at various IEEE and ACM conferences). He was recently selected by IEEE 
Intelligent Systems as one of the "Ten to Watch" for the future of AI 
research.

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