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Keynote Lectures

Available soon.
Daniel McDuff, Microsoft, United States

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Diego Gutierrez, Universidad de Zaragoza, Spain

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Jiri Matas, Czech Technical University in Prague, Faculty of Electrical Engineering, Czech Republic

 

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Daniel McDuff
Microsoft
United States
 

Brief Bio

Daniel McDuff (http://alumni.media.mit.edu/~djmcduff/) is a Researcher at Microsoft where he leads research and development of affective computing technology, with a focus on scalable tools to enable the automated recognition and analysis of emotions and physiology. He is also a visiting scientist at Brigham and Women’s Hospital in Boston where he works on deploying these methods in primary care and surgical applications. Daniel completed his PhD in the Affective Computing Group at the MIT Media Lab in 2014 and has a B.A. and Masters from Cambridge University. Previously, Daniel was Director of Research at Affectiva and a post-doctoral research affiliate at the MIT Media Lab.  During his Ph.D. and at Affectiva he built state-of-the-art facial expression recognition software and lead analysis of the world's largest database of facial expression videos.

His work in machine learning, AR and affective computing has received nominations and awards from Popular Science magazine as one of the top inventions in 2011, South-by-South-West Interactive (SXSWi), The Webby Awards, ESOMAR and the Center for Integrated Medicine and Innovative Technology (CIMIT). His projects have been reported in many publications including The Times, the New York Times, The Wall Street Journal, BBC News, New Scientist, Scientific American and Forbes magazine. Daniel was named a 2015 WIRED Innovation Fellow and has spoken at TEDx Berlin and SXSW. We is a member of the ACM Future of Computing Academy.


Abstract
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Diego Gutierrez
Universidad de Zaragoza
Spain
 

Brief Bio
Diego Gutierrez is a Professor at the Universidad de Zaragoza in Spain, where he leads the Graphics and Imaging Lab. His areas of interests include physically based global illumination, perception, computational imaging, and virtual reality. He's published many papers in top journals and conferences, being Papers Chair of Eurographics (2018), the Rendering Symposium (2012), and the Symposium on Applied Perception (2011). He's been Editor in Chief of ACM Transactions on Applied Perception, and is currently an Associate Editor of four other journals. He has received many awards including a Google Faculty Research Award in 2014, or an ERC Consolidator Grant in 2016.


Abstract
Available soon.



 

 

Available soon.

Jiri Matas
Czech Technical University in Prague, Faculty of Electrical Engineering
Czech Republic
 

Brief Bio
Jiri Matas is a full professor at the Center for Machine Perception, Czech Technical University in Prague. He holds a PhD degree from the University of Surrey, UK (1995). He has published more than 200 papers in refereed journals and conferences. His publications have approximately 34000 citations registered in Google Scholar and 13000 in the Web of Science. His h- index is 65 (Google scholar) and 43 (Clarivate Analytics Web of Science) respectively.

He received the best paper prize e.g. at the British Machine Vision Conferences in 2002 and 2005, at the Asian Conference on Computer Vision in 2007 and at Int. Conf. on Document analysis and Recognition in 2015. J. Matas has served in various roles at major international computer vision conferences (e.g. ICCV, CVPR, ICPR, NIPS, ECCV), co-chairing ECCV 2004, 2016 and CVPR 2007. He is on the editorial board of IJCV and was the Associate Editor-in-Chief of IEEE T. PAMI. He served on the computer science panel of ERC.

His research interests include visual tracking, object recognition, image matching and retrieval, sequential pattern recognition, and RANSAC- type optimization metods.


Abstract
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