Nicu Sebe
Biography:
Nicu Sebe is a professor in the University of Trento, Italy, where he is leading the research in the areas of multimedia information retrieval and human-computer interaction in computer vision applications. He received his PhD from the University of Leiden, The Netherlands and has been in the past with the University of Amsterdam, The Netherlands and the University of Illinois at Urbana-Champaign, USA. He was involved in the organization of the major conferences and workshops addressing the computer vision and human-centered aspects of multimedia information retrieval, among which as a General Co-Chair of the IEEE Automatic Face and Gesture Recognition Conference, FG 2008, ACM International Conference on Multimedia Retrieval (ICMR) 2017 and ACM Multimedia 2013. He was a program chair of ACM Multimedia 2011 and 2007, ECCV 2016, ICCV 2017, ICPR 2020 and a general chair of ACM Multimedia 2022. He is a fellow of ELLIS, IAPR and a Senior member of ACM and IEEE.
Mubarak Shah
Biography:
Dr. Mubarak Shah, the UCF Trustee Chair Professor, is the founding director of Center for Research in Computer Visions at University of Central Florida (UCF). Dr. Shah is a fellow of ACM, IEEE, AAAS, NAI, IAPR, AAIA and SPIE. He has published extensively on topics related to human activity and action recognition, visual tracking, geo registration, visual crowd analysis, object detection and categorization, shape from shading, etc. He has served as ACM and IEEE Distinguished Visitor Program speaker. He is a recipient of 2022 PAMI Mark Everingham Prize for pioneering human action recognition datasets; 2019 ACM SIGMM Technical Achievement award; 2020 ACM SIGMM Test of Time Honorable Mention Award for his paper “Visual attention detection in video sequences using spatiotemporal cues”; 2020 International Conference on Pattern Recognition (ICPR) Best Scientific Paper Award; an honorable mention for the ICCV 2005 Where Am I? Challenge Problem; 2013 NGA Best Research Poster Presentation; 2nd place in Grand Challenge at the ACM Multimedia 2013 conference; and runner up for the best paper award in ACM Multimedia Conference in 2005 and 2010. At UCF he has received Pegasus Professor Award; University Distinguished Research Award; Faculty Excellence in Mentoring Doctoral Students; Scholarship of Teaching and Learning award; Teaching Incentive Program award; Research Incentive Award.
Alberto Del Bimbo
Biography:
Alberto Del Bimbo is Emeritus Professor at the Department of Information Engineering of University of Firenze, Italy. He is the author of over 350 scientific publications in computer vision, multimedia content analysis, indexing and retrieval. He was the General Chair of ACM Multimedia Asia 2024, ACM Multimedia 2022, ICPR 2020, ECCV 2012, ICMR 2011, ACM Multimedia 2010, and IEEE ICMCS 1999 and the Program Chair of ICME 2024, ICPR 2016, and ICPR 2012, and ACM Multimedia 2008. He was the Editor in Chief of ACM TOMM Trans. on Multimedia Computing, Communications, and Applications and Associate Editor of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Multimedia, Pattern Recognition, Multimedia Tools and Applications and Pattern Analysis and Applications. Prof. Del Bimbo is IAPR Fellow and the recipient of the 2016 ACM SIGMM Award for Outstanding Technical Contributions to Multimedia Computing, Communications and Applications. He is presently the Chair of ACM SIGMM the ACM Special Interest Group in Multimedia.
Biography:
Mohamed Daoudi is a Full Professor of Computer Science at IMT Nord Europe and the Head of Image group at CRIStAL Laboratory (UMR CNRS 9189). His research interests include computer vision and machine learning for human behavior understanding. He has published over 150 papers in some of the most distinguished scientific journals and international conferences. He is/was Associate Editor of Image and Vision Computing, IEEE Transactions on Multimedia, IEEE Trans. on Affective Computing and Computer Vision and Image Understanding, Computers & Graphics, Guest Editor for Computer Vision and Image Understanding Special Issue on “Special Issue-Eyes on People Recent Trends on Human Analysis, Perception and Generation-CVIU”, Guest Editor for Image and Vision Computing On “Learning with Manifolds in Computer Vision”, Guest Editor for Sensors “Computer Vision in Human Analysis: From Face and Body to Clothes”, and Guest Editor for IEEE Transactions on Biometrics, Behavior and Identity Science on “Selected Best Works From Automated Face and Gesture Recognition 2019”. He was General Chair of IEEE International Conference on Automatic Face and Gesture Recognition IEEE FG 2019 in Lille (France), 3D Object Retrieval Symposium (2010, 2022, 2023), Shape Modeling International Conference (2015), has organized successful workshops in Face and Gesture Analysis for Health Informatics (FGAHI at CVPR 2023, ICMI 2020, CVPR 2019, FG 2018), Learning with few or without annotated face, body and gesture data (LFA at WACV 2023, IEEE FG 2024), Generation of Human Face and Body Behavior (GHB at WACV 2021, ICIAP 2023), Towards a Complete Analysis of People: From Face and Body to Clothes (T-CAP at ICIAP 2022, ICPR 2022, ECCV 2022), Manifold Learning, From Euclid to Riemann (ManLearn at ICPR 2021, ICCV 2017), and has served as area chair at 3DV 2021, IEEE FG 2024, ACM Multimedia (2021, 2022, 2023, 2024), EUSIPCO (2013, 2015), and he will serve as General Chair for IEEE FG 2025. He is a Fellow of the International Association for Pattern Recognition, IEEE Senior member, ACM member.
Jamal Benhamou
Biography:
Jamal Benhamou has worked for 28 years in the field of restructuring and operational development of business projects, particularly within the IT sector, with a strong predilection for the implementation of incubation and innovation support systems. His strong sensitivity to disruptive innovation, in multicultural and cross-border project contexts, led him to manage the Soft Center (R&D and software innovation center). And this for 11 years now, during which time he has managed numerous Open Innovation programs combining different practices such as Design Thinking, Lean Startup, Design Sprint, and Growth Hacking. His presence among us reflects his interest in the creation of an ecosystem favorable to the emergence and development of Tech startups, more particularly in the segments of Artificial Intelligence, Quantum Computing, and Biotechnology.
Antitiza Dantcheva
Biography:
Dr. Antitza Dantcheva is a Research Scientist with the STARS team of INRIA Sophia Antipolis, France. Previously, she was a Marie Curie fellow at Inria and a Postdoctoral Fellow at the Michigan State University and the West Virginia University, USA. She received her Ph.D. degree from Telecom ParisTech/Eurecom in image processing and biometrics in 2011. Her research is in computer vision and specifically in designing algorithms that seek to learn suitable representations of the human face in interpretation and generation. She is recipient among others of the ANR Jeunes chercheuses / Jeunes chercheurs (JCJC) personal grant, winner of the New Technology Show at ECCV 2022, the Best Poster Award at IEEE FG 2019, winner of the Bias Estimation in Face Analytics (BEFA) Challenge at ECCV 2018 (in the team with Abhijit Das and Francois Bremond) and Best Paper Award (Runner up) at the IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2017).
Stefano Berretti
Biography:
Stefano Berretti is an Associate Professor at the Department of Information Engineering of the University of Florence, Italy. He was also visiting professor at the University of Lille, France, and at the University of Alberta, Canada. He has published on topics related to content based image retrieval, 3D human behavior understanding from face and body, face biometrics, 3D object recognition, 3D/4D face modeling and generation. He organized workshops on Learning with few or without annotated face, body and gesture data (LFA at WACV 2023, IEEE FG 2024), Generation of Human Face and Body Behavior (GHB at WACV 2021, ICIAP 2023). He has been a general chair of The Eurographics Symposium on 3D Object Retrieval (3DOR) 2022, and of the Conference on Smart Tools and Applications in Graphics 2021, and has served as an area chair for ACM Multimedia (2020, 2021, 2022, 2023, 2024), IEEE Face and Gesture Recognition (2019, 2020), and program chair for the International Conference on Smart Multimedia (2022, 2024). He organized special issues on the Computers & Graphics journal, ACM TOMM, IEEE TII, IEEE TCE, IEEE JBHI, and ACM TALLIP. He is the Associate Editor in Chief for Digital Communications of the IEEE Transactions on Circuits and Systems for Video Technology, and an Associate Editor of the ACM Transaction of Multimedia Computing, Communications, and Applications (ACM TOMM), and of the IET Computer Vision journal. He was also the Information Director of ACM TOMM. He is a Senior member of IEEE.
Naima Otberdout
Biography:
Dr. Naima Otberdout is currently an assistant professor at Ai movement, the Moroccan International Center of Artificial Intelligence within the Mohammed VI Polytechnic University. Her research combines computer vision, 3D vision and machine learning to analyze and synthesize the motion of humans and objects in 3D.
She received a master’s degree in computer sciences and telecommunication from Mohammed V University, Rabat, Morocco in 2016. In 2021, she got a Ph.D. degree in computer science from Mohammed V University in Rabat, Morocco. Her PhD thesis addresses the problem of facial expression analysis and generation from 2D images. After her PhD, she worked as a Postdoctoral researcher at the university of Lille in France. In this project, she focused on human behavior understanding, including facial expressions and human motion analysis and synthesis. She published several papers in high-quality journals and conferences including IEEE IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR).
Baptiste Chopin
Biography:
Dr. Baptiste Chopin received an Engineering degree in computer science from IMT Nord Europe (France) in 2019 and a Ph.D. degree in computer science from the University of Lille (France) in 2023. His PhD thesis addresses the problem of human motion generation. He is currently a Postdoctoral with the STARS team of INRIA (France). His research concerns computer vision and the generative models applied to human face and body motion.
Omar Souissi
Biography:
Omar Souissi is an engineer of Supmeca PARIS and Polytechnic of Montréal in applied mathematics and Ph.D. doctorate in Operations research of University Polytechnic Haut de France. He is currently a qualified professor at the National Institute of Posts and Telecommunications (INPT) Rabat and member of ‘DATA’ research team. His research field extend to the following areas: optimisation and machine learning applied for Industry, Healthcare and sharing economy. He is also engaged on scientific event organisation and he is the founder of ‘IWSIF’ the International Workshop of Services and Industry of the Future.