[4eyes] FW: [FACULTY] Michel Valstar, University of Nottingham: Research Group Talk_JULY 6 at 1:30 p.m.

[Matthew Turk]

I have a few people lined up to talk with visitor Michel Valstar tomorrow afternoon. Is anyone else interested in talking with him around 4:30 or 5:00pm?

 

See his talk info below.

 

                Matthew

 

 

From: faculty [mailto:faculty-bounces at lists.cs.ucsb.edu] On Behalf Of Ann Bailey
Sent: Friday, July 1, 2016 12:30 PM
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Subject: [FACULTY] Michel Valstar, University of Nottingham: Research Group Talk_JULY 6 at 1:30 p.m.

 


Computer Science Department Presents:


Wednesday, July 6, 2016 at 1:30 p.m.
Location:  Harold Frank Hall - CS Conference Room 1132
Host: Matthew Turk

The Computational Face - Novel approaches in an age of big data

Michel Valstar, University of Nottingham  


In this talk I will present recent advances in computer vision and machine learning made by my team at the University of Nottingham. I will also discuss recent progress in applying computer vision in HCI. The following topics will be addressed:

1). Behaviomedics - a novel area of using affective computing and social signal processing to help diagnose, monitor, and treat medical conditions that alter expressive behaviour, including recent work on automatic depression detection.

2). Face Alignment - discussing our ground-breaking work on direct-diplacement based point detection and incremental continuous cascaded regression for face tracking.

3). Facial Expression Analysis - our latest facial expression recognition research, including FERA 2015, our ICCV 2015 work on multi-task learning, and dynamic deep learning.

4). Seeing together - applying computer vision in HCI, in particular to develop novel interaction with augmented mirrors, and automatically augmenting maps in disaster response situations.


Michel Valstar (http://www.cs.nott.ac.uk/~mfv) is an associate professor at the University of Nottingham, and member of both the Computer Vision and Mixed Reality Labs. he was a Visiting Researcher at MIT's  Media Lab, received his masters' degree in Electrical Engineering at Delft University of Technology in 2005 and his PhD in computer science at Imperial College London in 2008.  Michel works in the fields of computer vision and pattern recognition, where his main interest is in automatic recognition of human behaviour, specialising in the analysis of facial expressions. He is the founder of the  facial expression recognition challenges (FERA 2011/2015/2017), and the Audio-Visual Emotion recognition Challenge series (AVEC 2011-2016). He is the coordinator of the EU Horizon2020 project ARIA-VALUSPA, which will build the next generation virtual humans, and recipient of Melinda & Bill Gates Foundation funding to help premature babies survive in the developing world. In 2007 he won the BCS British Machine Intelligence Prize for part of his PhD work. His work has received popular press coverage in, among others,  Science Magazine, The Guardian, New Scientist and on BBC Radio. He has published over 50 peer-reviewed papers at venues including PAMI, CVPR, ICCV, SMC-Cybernetics, and Transactions on Affective Computing (h-index 29, >3900 citations).


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