2021 Understanding Social Behavior in Dyadic and Small Group Interactions Workshop at ICCV

Javier Selva

Universitat de Barcelona, Spain

Sorina Smeureanu

University of Barcelona, Spain

Zejian Zhang

University of Barcelona, Spain

Germán Barquero

Universitat Autònoma de Barcelona, Spain

Johnny Núñez

University of Barcelona, Spain

David Gallardo-Pujol

University of Barcelona, Spain

Georgina Guilera

University of Barcelona, Spain

David Leiva

University of Barcelona, Spain

Xiu-Shen Wei

Nanjing University of Science and Technology, China

Feng Han

4Paradigm Inc., China

Xiawei Guo

4Paradigm Inc., China

Jennifer He

4Paradigm Inc., China

David Curto Janó

University of Barcelona, Spain

Isabelle Guyon

University Paris-Saclay, France and ChaLearn USA

isabelle@clopinet.com

Isabelle Guyon ( http://guyon.chalearn.org/ ) is chaired professor in “big data” at the Université ParisSaclay, specialized in statistical data analysis, pattern recognition and machine learning. She is one of the cofounders of the ChaLearn Looking at People (LAP) challenge series and she pioneered applications of the MIcrosoft Kinect to gesture recognition. Her areas of expertise include computer vision and and bioinformatics. Prior to joining ParisSaclay she worked as an independent consultant and was a researcher at AT&T Bell Laboratories, where she pioneered applications of neural networks to pen computer interfaces (with collaborators including Yann LeCun and Yoshua Bengio) and coinvented with Bernhard Boser and Vladimir Vapnik Support Vector Machines (SVM), which became a textbook machine learning method. She worked on early applications of Convolutional Neural Networks (CNN) to handwriting recognition in the 1990’s. She is also the primary inventor of SVMRFE, a variable selection technique based on SVM. The SVMRFE paper has thousands of citations and is often used as a reference method against which new feature selection methods are benchmarked. She also authored a seminal paper on feature selection that received thousands of citations. She organized many challenges in Machine Learning since 2003 supported by the EU network Pascal2, NSF, and DARPA, with prizes sponsored by Microsoft, Google, Facebook, Amazon, Disney Research, and Texas Instrument. Isabelle Guyon holds a Ph.D. degree in Physical Sciences of the University Pierre and Marie Curie, Paris, France. She is president of Chalearn, a nonprofit dedicated to organizing challenges, vicepresident of the Unipen foundation, adjunct professor at NewYork University, action editor of the Journal of Machine Learning Research, editor of the Challenges in Machine Learning book series of Microtome, and program chair of the upcoming NIPS 2016 conference.