Computer Vision Center (UAB) and University of 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 is ICREA Academia. He leads the Human Pose Recovery and Behavior Analysis Group. He is Full Professor at the Department of Mathematics and Informatics, Universitat de Barcelona. He is an adjunct professor at Universitat Oberta de Catalunya and Dalhousie University, and Distinguished Professor at Aalborg 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 UAB, Mathematics Institut of the Universitat de Barcelona, and the Barcelona Graduate School of Mathematics. He is series editor of The Springer Series on Challenges in Machine Learning. He is vice-president of ChaLearn Challenges in Machine Learning, leading ChaLearn Looking at People events. He is co-creator of Codalab open source platform for challenges organization and co-founder of the NeurIPS competition track. He is also Fellow of the ELLIS European Laboratory for Learning and Intelligent Systems working within the Human-centric Machine Learning program, member of the AAAC Association for the Advancement of Affective Computing, AERFAI Spanish Association on Pattern Recognition, ACIA Catalan Association of Artificial Intelligence, AEPIA Artificial Intelligence Spanish Association, INNS International Neural Network Society, IEEE, and Chair of IAPR TC-12: Multimedia and visual information systems. He has different patents and registered models. He participated in several international funded projects and received an Amazon Research Award. He has published more than 300 research papers and participated in the organization of scientific events. He received a CVPR best paper award nominee and a CVPR outstanding reviewer award. He has been guest editor at TPAMI, JMLR, PR, TAC and IJCV, among others. He has been General co-Chair of FG20, Area Chair at CVPR, NeurIPS, FG, ICCV, and BMVC, and Competition and Demo Chair at FG, NeurIPS, and ECMLPKDD, among others. His research interests include automatic analysis of humans from visual and multi-modal data, with special interest in inclusive, transparent, and fair affective computing and people characterization.
Thomas B. Moeslund
Aalborg University, Aalborg, Denmark
Universitat Oberta de Catalunya, Barcelona, Catalonia
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.
Universitat de Barcelona and Computer Vision Center, Spain
Víctor Ponce Received his B.S. degree in Computer Science in 2010, and his M.S. degree in Artificial Intelligence in 2012. I’m a Ph.D. candidate at the the Dept. of Mathematics and Computer Science, University of Barcelona. I’m member of the Computer Vision Center, in the group Human Pose Recovery and Behavior Analysis (HuPBA). His main interests of research are the fields of computer vision, machine learning, and evolutionary computation applied to human behavior analysis.
Boğaziçi University, Turkey
Technical University of Crete, Greece
Anastasios D. Doulamis (S’96, M’00) received the Diploma and PhD degree in Electrical and Computer Engineering from the National Technical University of Athens (NTUA) with the highest honor. Until January 2014, he was an associate professor at the Technical University of Crete and now is a faculty member of NTUA. Prof. A. Doulamis has received several awards in his studies, including the Best Greek Student Engineer, Best Graduate Thesis Award, National Scholarship Foundation prize, etc. He has also served as program committee in several major conferences of IEEE and ACM. He is author of more than 200 papers in leading journals and conferences receiving more than 2000 citations.
Fraunhofer IOSB, Germany
Bordeaux University, France
Jenny Benois-Pineau is a full professor of Computer science at the University Bordeaux and chair of Video Analysis and Indexing research group in Image and Sound Department of LABRI UMR 58000 Université Bordeaux/CNRS/IPB-ENSEIRB. She has been a deputy scientific director of theme B of French national research unity GDR CNRS ISIS (2008 - 2015), and is now a chair od international relations at College of Sciences and Technologies at University Bordeaux.
Gian Luca Foresti
University of Udine, Italy
Gian Luca Foresti was born in Savona, Italy, in 1965. He received the Laurea degree cum laude in Electronic Engineering in 1990 and the Ph.D degree in Computer Science in 1994 from University of Genoa. In 1994 he was visiting Professor at Trento University in an Electronic Engineering course. Currently, he is Full Professor at the Department of Mathematics, Computer Science and Physics (DMIF) of the University of Udine. Immediately after the Laurea degree, he worked with the Departement of Biophysical and Electronic Engineering (DIBE) of University of Genoa in the area of Computer Vision, Image Processing and Image Understanding. His Ph.D thesis dealt with distributed systems for analysis and interpretation of real video sequences. He worked at several National and International projects founded by the European Commission, especially in the fields of autonomous vehicle driving and active surveillance systems for outdoor environments. Prof. Foresti is author or co-author of more than 200 papers published in International Journals, Book Chapters and Refereed Conference Proceedings. Prof. Foresti serves as reviewer for several International Journals and he is IEEE Senior Member, IAPR Fellow Member and member of GRIN. He has been also involved as evaluator of project proposals in several Research Programs founded by the European Union.
University of California, United States of America
Matthew Turk is the President of TTIC, an independent philanthropically endowed graduate research institute that focuses on computer science theory and artificial intelligence. His research interests are in computer vision and human-computer interaction, largely concerned with using computer vision as an input modality. That means using cameras (and other sensors) to perceive relevant information about people and the world and then using this information to improve the interface between humans and computers. In recent years, many of the applications have been in augmented reality, and mostly focused on real-time mobile computing environments.
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.
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.
Multimedia Information Retrieval Lab Delft University of Technology, Netherlands
Michael Alexander Riegler
Simula Research Laboratory, Oslo, Norway
University of Applied Sciences Western Switzerland (HES-SO), Switzerland
Institute of Automation, Chinese Academy of Sciences (CASIA)
I have graduated from Beijing Jiaotong University, Beijing, China. Since Jaunary 2015, I have joined in Center for Biometrics and Security Research (CBSR) & National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA). I am interested in machine learning, computer vision, image processing, especially for gesture/action recognition, hand tracking and segmentation. You can find the published papers and the current and finished projects in MY RESEARCH.
University of California Berkeley, United States of America
Computer Vision Center (UAB)
He obtained his Ph.D. degree in action recognition at the University of Barcelona (UB) in 2019. He is currently working on a multimodal fall detection project at Computer Vision Center (CVC), which is part of Universitat Autònoma de Barcelona (UAB). He is also a member of the Human Pose Recovery and Behavior Analysis Group. He participated in the organization "Chalearn joint contest on multimedia challenges beyond visual analysis'' (ECCV16 and ICPR16), which included RGB-D gesture recognition and another track of personality traits recognition from short YouTube clips. His research interests include multimodality, action recognition, and sequential learning models.
University of Maryland, United States of America
is a distinguished University Professor at University of Maryland. He holds a Minta Martin Professorship in the A.J. Clark School of Engineering and served as the Chair of the Electrical and Computer Engineering Department from 2011-2018. He has coauthored and coedited books on MRFs, face and gait recognition and collected works on image processing and analysis. He has organized tens of events and has been general co-chair of CVPR and FG, among others.
University of Tartu, Estonia
Assoc. Prof. Dr. Gholamreza Anbarjafari (Shahab) received his B.Sc., M.Sc., and Ph.D. degrees from Department of Electrical and Electronic Engineering at Eastern Mediterranean University (EMU), Famagusta, Cyprus, in (Jan) 2007, (June) 2008, (Jan) 2011 respectively. He has been working in the field of image processing and is currently focusing in many research works related to face recognition/tracking, image enhancement, super resolution, image compression, watermarking, and low-bit rate video coding. He is currently working as an Assoc. Prof. in Institute of Technology at University of Tartu and is the head of iCV research group. He is also the supervisor of Philosopher, the Estonian Robocup team of university of Tartu. He is Vice Chair of Signal Processing / Circuits and Systems / Solid-State Circuits Joint Societies Chapter of IEEE Estonia and Consular of IEEE Student Branch at University of Tartu. He is an IEEE Senior member since 2016.
Maria di Marsico
University of Rome, Italy
ETH Zurich, Zürich, Switzerland
Adrián Pastor López
Adrián Pastor is a PhD. student in the Computer Science Department at the National Institute of Astrophysics, Optics and Electronics (INAOE), Mexico, where he is part of the Language Technologies Laboratory. His research focuses on, but not limited to, the intersection of the fields of computer vision and natural language processing. In his research he study image analysis and text mining algorithms to design novel methods to improve the use of specific visual features in computer vision tasks.
Kevin W. Bowyer
University of Notre Dame, United States of America
Kevin Bowyer is the Schubmehl-Prein Professor and Chair of the Department of Computer Science and Engineering at the University of Notre Dame. Professor Bowyer's research interests range broadly across computer vision and pattern recognition, including biometrics, data mining and classifier ensembles. He is a Fellow of the IEEE, a Fellow of the IAPR, a Golden Core member of the IEEE Computer Society, and received an IEEE Computer Society Technical Achievement Award "for pioneering contributions to the science and engineering of biometrics". Professor Bowyer is also appointed as Honorary Professor in Biometric Technologies by the College of Engineering and Informatics, NUI Galway, Ireland. Professor Bowyer is Chair of the Research and Innovation Track at Biometrics 2016, and General Chair of Face and Gesture 2017. He is a member of the Editorial Board for IEEE Access, which received a 2015 PROSE award for Best New Journal in Science, Technology and Medicine, and is a past EIC of the IEEE Transactions on Pattern Analysis and Machine Intelligence and the IEEE Biometrics Compendium.
University of Nevada, United States of America
Dr. Bebis received the BS degree in Mathematics from the University of Crete in 1987, the MS degree in Computer Science from the University of Crete in 1991, and the PhD degree in Electrical and Computer Engineering from the University of Central Florida in 1996. He is currently a Professor in the Department of Computer Science and Engineering at the University of Nevada, Reno (UNR), and director of UNR's Computer Vision Laboratory (CVL). Prior to joining UNR, he was a Visiting Assistant Professor in the Department of Mathematics and Computer Science at the University of Missouri-St. Louis (UMSL).
Nanjing University, China
TU Delft University, Netherlands
I am a Postdoctoral Researcher in the Pattern Recognition & Bioinformatics Group of Delft University of Technology. I am also a Research Affiliate in the Computer Vision Group of the University of Amsterdam. Earlier, I was a Visiting Researcher at Carnegie Mellon University, University of Pittsburgh, and Massachusetts Institute of Technology. My research interests include Affective Computing, Intelligent Human-Computer Interaction, Pattern Recognition, and Computer Vision.
Media Integration and Communication Center, University of Firenze, Italy
Giuseppe Lisanti was born in Venosa in 1982 and has been living in Florence since 2001. He received the PhD degree in Computer Engineering from the University of Florence in 2012 with a thesis on “Wide area surveillance with rotating and zooming cameras”, under the supervision of Prof. Alberto Del Bimbo. He is currently a postdoc at the Media Integration and Communication Center of the University of Florence and his research interests focus on computer vision, pattern recognition and machine learning for person detection and tracking, person re-identification and face recognition. He works in tight collaboration with industrial partners, and with particular emphasis on technology and knowledge transfer.
National Technical University of Athens, Greece