Disney Research Pittsburgh
Leonid Sigal was born in Kiev, Ukraine. He is a Senior Research Scientist at Disney Research Pittsburgh, in conjunction with Carnegie Mellon University. Prior to this he was a postdoctoral fellow in the Department of Computer Science at University of Toronto. He completed his Ph.D. under the supervision of Prof. Michael J. Black at Brown University; he received his B.Sc. degrees in Computer Science and Mathematics from Boston University (1999), his M.A. from Boston University (1999), and his M.S. from Brown University (2003). From 1999 to 2001, he worked as a senior vision engineer at Cognex Corporation, where he developed industrial vision applications for pattern analysis and verification. His work received the Best Paper Award at the Articulate Motion and Deformable Objects Conference in 2006 (with Prof. Michael J. Black).
University of Pittsburgh, Pittsburgh, United States of America
Jeffrey Cohn is Professor of Psychology and Psychiatry at the University of Pittsburgh and Adjunct Professor of Computer Science at the Robotics Institute at Carnegie Mellon University. He leads interdisciplinary and inter-institutional efforts to develop advanced methods of automatic analysis and synthesis of facial expression and prosody; and applies those tools to research in human emotion, social development, non-verbal communication, psychopathology, and biomedicine. His research has been supported by grants from the U.S. National Institutes of Health, National Science Foundation, Autism Foundation, Office of Naval Research, and Defense Advanced Research Projects Agency among other sponsors. He has co-chaired the IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017, FG2015, and FG2008), the International Conference on Affective Computing and Intelligent Interaction (ACII 2009), and the International Conference on Multimodal Interfaces (ACM 2014). He is a co-editor of IEEE Transactions in Affective Computing (TAC) and has co-edited special issues on affective computing for the Journal of Image and Vision Computing, Pattern Recognition Letters, Computer Vision and Image Understanding, and ACM Transactions on Interactive Intelligent Systems.
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
Hugo Jair Escalante
Hugo Jair Escalante is researcher scientist at Instituto Nacional de Astrofisica, Optica y Electronica, INAOE, Mexico. Previously, he was assistant professor at the Graduate Program on Systems Engineering at UANL. 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 secretary and member of the board of directors of ChaLearn, The Challenges in Machine Learning Organization, a non-profit organism dedicated to organizing challenges, since 2011. Also, he is member of the board of the CONACYT Network on Applied Computational Intelligence, regular member of AMEXCOMP and member of the National System of Researchers (SNI). Since 2017, he is editor of the Springer Series on Challenges in Machine Learning, a new book series focused on academic competitions within machine learning and related fields. He has been involved in the organization of several challenges in computer vision and machine learning, collocated with top venues in machine learning and computer vision, see http://chalearnlap.cvc.uab.es/. He has served as co-editor of special issues in IJCV, IEEE TPAMI, and IEEE Transactions on Affective Computing. He has served as area chair for NIPS 2016 and NIPS 2017, and has been member of the program committee of venues like CVPR, ICPR, ICCV, ECCV, ICML, NIPS, IJCNN. His research interests are on machine learning, evolutionary computing and its applications on language and vision.
Katholieke Universiteit Leuven, Leuven, Belgium
I received a Master of Electrical Engineering from the K.U. Leuven , Belgium in 1996. Since my graduation, I've been working at the VISICS -lab within ESAT - PSI of the Katholieke Universiteit Leuven , where I defended my PhD on december 19, 2000, entitled "Local Invariant Features for Registration and Recognition". During most of 2006 and early 2007, I was also parttime (20%) visiting scientist at the LEAR group of INRIA in Grenoble. Summer 2008, I visited the Making Sense from Data group at NICTA in Canberra, Australia. Summer 2010 I visited Trevor Darrell's group at ICSI/EECS UC Berkeley. Since October 2008, I'm appointed research professor (BOF-ZAP) at the K.U.Leuven.
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.
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.
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.
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.
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 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
Marc Oliu Simón, Barcelona, Spain
Julio C. S. Jacques Junior
Computer Vision Center (CVC), Spain
Julio C. S. Jacques Junior received his Ph.D. degree in Computer Science from PUCRS in 2012, Brazil. Currently, he is a postdoctoral researcher at the Computer Vision Center (CVC) at Universitat Autònoma de Barcelona (UAB), as a member of the Human Pose Recovery and Behavior Analysis (HUPBA) group. He collaborates within the University of Barcelona (UB) as a HUPBA member, and within ChaLearn and ChaLearn (LAP) Looking at People. He also has collaborated with the organization of some workshops and challenges organized by ChaLearn LAP (ECCV’16, ICPR’16, CVPR/IJCNN’17, NeurIPS'19, ECCV’20, CVPR’21). His research interests include, among others, computer vision-based applications with a particular focus on visual human behavior analysis.
Rob van Lier
Albert Ali Salah
Bogazici University, Turkey
Univ. de les Illes Balears, Spain
University of Trento
Manuel J. Marín-Jiménez
Universidad de Córdoba
Hans-Albert Löbel Díaz
Catholic University of Chile
QUVA lab, University of Amsterdam
University of California at Merced