Computer Vision Center (UAB) and University of Barcelona, Barcelona, Spain
Sergio Escalera obtained the P.h.D. degree on Multi-class visual categorization systems at Computer Vision Center, UAB. He obtained the 2008 best Thesis award on Computer Science at Universitat Autònoma de Barcelona. He leads the Human Pose Recovery and Behavior Analysis Group at UB, CVC, and the Barcelona Graduate School of Mathematics. He is an associate professor at the Department of Mathematics and Informatics, Universitat de Barcelona. He is an adjunct professor at Universitat Oberta de Catalunya, Aalborg University, and Dalhousie University. He has been visiting professor at TU Delft and Aalborg Universities. He is a member of the Visual and Computational Learning consolidated research group of Catalonia. He is also a member of the Computer Vision Center at Campus UAB. He is series editor of The Springer Series on Challenges in Machine Learning. He is Editor-in-Chief of American Journal of Intelligent Systems and editorial board member of more than 5 international journals. He is vice-president of ChaLearn Challenges in Machine Learning, leading ChaLearn Looking at People events. He is co-founder of PhysicalTech and Care Respite companies. He is also member of the AERFAI Spanish Association on Pattern Recognition, ACIA Catalan Association of Artificial Intelligence, INNS, and vice-chair of IAPR TC-12: Multimedia and visual information systems. He has different patents and registered models. He has published more than 150 research papers and participated in the organization of scientific events, including CCIA04, CCIA14, ICCV11, AMDO16, FG17, and workshops at ICCV11, ICMI13, ECCV14, CVPR15, ICCV15, CVPR16, ECCV16, ICPR16, NIPS16, CVPR17. He has been guest editor at JMLR, TPAMI, IJCV, TAC, PR, and Neural Comp. and App. He has been area chair at WACV16, NIPS16, AVSS17, FG17, and ICCV17, and competition and demo chair at FG17 and NIPS17. His research interests include, between others, statistical pattern recognition, visual object recognition, affective computing, and HCI systems, with special interest in human pose recovery and behavior analysis from multi-modal data.
Hugo Jair Escalante
Hugo Jair Escalante is researcher scientist at Instituto Nacional de Astrofisica, Optica y Electronica, INAOE, Mexico. He holds a PhD in Computer Science, for which he received the best PhD thesis on Artificial Intelligence 2010 award (Mexican Society in Artificial Intelligence). He was granted the best paper award of the International Joint Conference on Neural Networks 2010 (IJCNN2010). He is a director of ChaLearn, a nonprofit dedicated to organizing challenges, since 2011. He has been involved in the organization of several challenges in computer vision and automatic machine learning. He is reviewer at JMLR, PAMI, and has served as coeditor of special issues in IJCV, PAMI, and IEEE Transactions on Affective Computing. He is serving as area chair for NIPS 2016, and has been member of the program committee of venues like CVPR, ICCV, ECCV, ICML, NIPS, IJCNN.
University of Nottingham, Nottingham, United Kingdom
Michel Valstar is an Associate Professor at the University of Nottingham, School of Computer Science, and a researcher in Automatic Visual Understanding of Human Behaviour. He is a member of both the Computer Vision Lab and the Mixed Reality Lab. Automatic Human Behaviour Understanding encompasses Machine Learning, Computer Vision, and a good idea of how people behave in this world.Dr Valstar is currently coordinator of the H2020 LEIT project ARIA-VALUSPA, which will create the next generation virtual humans. He has also recently been awarded a prestigious Melinda & Bill Gates foundation award to automatically estimate babies' gestational age after birth using the mobile phone camera, for use in countries where there is no access to ultrasound scans. Michel was a Visiting Researcher at the Affective Computing group at the Media Lab, MIT, and a research associate with the iBUG group, which is part of the Department of Computing at Imperial College London. Michel’s expertise is facial expression recognition, in particular the analysis of FACS Action Units. He recently proposed a new field of research called 'Behaviomedics', which applies affective computing and Social Signal Processing to the field of medicine to help diagnose, monitor, and treat medical conditions that alter expressive behaviour such as depression.
Universitat Oberta de Catalunya & Computer Vision Center, Barcelona, Spain
Xavier Baró received his B.S. degree in Computer Science at the Universitat Autònoma de Barcelona (UAB) in 2003. In 2005 he obtained his M.S. degree in Computer Science at UAB, and in 2009 the Ph.D degree in Computer Engineering. At the present he is a lecturer and researcher at the IT, Multimedia and Telecommunications department at Universitat Oberta de Catalunya (UOC). He is involved on the teaching activities of the Computer Science, Telecommunication and Multimedia degrees of the UOC, and collaborates as assistant professor on the teaching activities of the Computer Science degree at the Applied Mathematics and Analysis of the Universitat de Barcelona (UB). In addition, he is involved on the Interuniversity master on Artificial Intelligence (UPCUBURV). He is cofounder of the Scene Understanding and Artificial Intelligence (SUNAI) group of the UOC, and collaborates with the Computer Vision Center of the UAB, as member of the Human Pose Recovery and Behavior Analysis (HUPBA) group. His research interests are related to machine learning, evolutionary computation, and statistical pattern recognition, specially their applications to generic object recognition over huge cardinality image databases.
University Paris-Saclay, France and ChaLearn USA
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.
Mohammad Ali Bagheri
Dalhousie University, Canada
Marc Oliu Simón
University of Barcelona, Spain
Marc Oliu received the Technical Bachelor degree in Computer Science from Universitat de Girona, Girona, in 2010. He is finishing his Master degree in Artificial Intelligence at Universitat Politècnica de Catalunya (UPC), Universitat de Barcelona (UB), and Universitat Rovira i Virgili (URV). He is interested in Computer Vision and Machine Learning Fields.
Brais Martinez is a Research Fellow at the University of Nottingham. He has previously been a Research Associate in the intelligent Behaviour Understanding Group (iBUG) at Imperial College London. He received his PhD in computer science at the Autonomous University of Barcelona in 2010. Currently he is working in the fields of computer vision and pattern recognition, where his main interest is in automatic face analysis. He has predominantly worked on problems such as face detection, facial landmarking and facial expression analysis based on Facial Action Units. He has published technical papers at authoritative journals and conferences including TSMC-B, TPAMI, PR or CVPR, and he serves as a reviewer for most of the top journals in his field. He is an IEEE member.
Mercedes Torres Torres
University of Nottingham, United Kingdom
My name is Mercedes Torres Torres. I am a research fellow with the Computer Vision Lab at the University of Nottingham. I'm currently working in the GestATional Study project. In 2014, I completed my PhD at the University of Nottingham as part of the Horizon Doctoral Training Centre. I was also a member of The Visual Information Processing Laboratory (VIPLAB) in the School of Computer Science. For my current research interests and projects, please check Research.
University of Nottingham, United Kingdom
I received the diploma degree in Electrical and Computer Engineering from Aristotle University of Thessaloniki, Greece, and the M.Sc. and Ph.D. degrees in Signal Processing and Computer Vision both from Imperial College London, U.K. As of 2015, I am Assistant Professor in the School of Computer Science at the University of Nottingham and member of the Computer Vision Laboratory . From 2011 to 2014, I was Senior Lecturer with the School of Computer Science at the University of Lincoln and part-time Senior Research Fellow in the Intelligent Behaviour Understanding Group (iBUG) , Department of Computing, Imperial College London. Prior to this, I was Research Associate in the same group. I am currently an Associate Editor of the Image and Vision Computing Journal. My main research interests are in the areas of face and object recognition, alignment and tracking and facial expression analysis.
Ulrich K Steiner
University of Southern Denmark, Odense, Denmark
Center for Research and Interdisciplinarity, Paris, France
CVC and University of Barcelona, Spain
Ciprian Adrian Corneanu got his MSc in Telecommunication Engineering from Télécom SudParis in 2011. He spent the next three years in Germany with C.R.S iiMotion, a Thomson spin-off, developing industrial image processing applications for the consumer market. Currently he is a Ph.D student at the Universitat de Barcelona and a fellow of the Computer Vision Center from Universitat Autonoma de Barcelona. His main research interests include face and behavior analysis, affective computing, social signal processing, human computer interaction.