The Computational Face - Face Analysis for a Digital Future
Details
Agenda:
6.20 pm: A talk by Dr. Michel Valstar
7.00 pm: Q & A, discussion and chat
Abstract:
In this talk I will present recent advances in Face Analysis, in particular Facial Expression Analysis, made by my team at the University of Nottingham. I will present work on the following topics, all of which will be included in my upcoming book 'The Computational Face':
1). Real-time Face Tracking, Facial Point Localisation, and Face Alignment
2). Facial Expression Analysis - our latest facial expression recognition research deep-learning
3). Behaviomedics - how to use face analysis to diagnose, monitor, and treat medical conditions that alter your expressive behaviour
Bio:
Michel Valstar (http://www.cs.nott.ac.uk/~pszmv) is an associate professor at the University of Nottingham, and member of both the Computer Vision and Mixed Reality Labs. He 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, and he was a Visiting Researcher at MIT's Media Lab. He 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 2011-2019). He is the coordinator of the EU Horizon2020 project ARIA-VALUSPA, which will build the next generation virtual humans, deputy director of the 6M£ Biomedical Research Centre's Mental Health and Technology theme, and recipient of Melinda & Bill Gates Foundation funding to help premature babies survive in the developing world, which won the FG 2017 best paper award. His work has received popular press coverage in, among others, Science Magazine, The Guardian, New Scientist and on BBC Radio. He has published over 90 peer-reviewed papers at venues including PAMI, CVPR, ICCV, SMC-Cybernetics, and Transactions on Affective Computing (h-index 38, >8,400 citations).
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We will be providing pizza and drinks which are kindly provided by our sponsor, RP Analytics.
Please don’t forget to RSVP so we have an idea about the numbers attending
See you all at University of Nottingham,
Data Science Nottingham team