Keynote Speaker I
Multimedia and Art in the Age of Creative AI.
Prof. Ahmed Elgammal
Department of Computer Science, Rutgers University, USA
Advances in Artificial Intelligence are changing things around us. Is art and creativity immune from the perceived AI takeover? In this talk I will highlight some of the advances in the area of Artificial Intelligence and Art. I will argue about how investigating perceptual and cognitive tasks related to human creativity in visual art is essential for advancing the fields of AI and multimedia systems. On the other hand, how AI can change the way we look at art and art history.
Dr. Ahmed Elgammal is a professor at the Department of Computer Science, Rutgers University. He is the founder and director of the Art and Artificial Intelligence Laboratory at Rutgers, which focuses on data science in the domain of digital humanities. He is also an Executive Council Faculty at Rutgers University Center for Cognitive Science. Prof. Elgammal has published over 160 peer-reviewed papers, book chapters, and books in the fields of computer vision, machine learning and digital humanities. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE). He received the National Science Foundation CAREER Award in 2006. Dr. Elgammal recent research on knowledge discovery in art history received wide international media attention, including reports on the Washington Post, New York Times, NBC News, the Daily Telegraph, Science News, and many others. Dr. Elgammal received his M.Sc. and Ph.D. degrees in computer science from the University of Maryland, College Park, in 2000 and 2002, respectively.
Keynote Speaker II
Multimodal Social Signals Analysis
Prof. Nicu Sebe
Department of Information Engineering and Computer Science, University of Trento, Italy
Social perception is the main channel through which human beings access the social world and is one of the missing links in the communication between humans and computers. In this presentation I will present our recent research in social signals analysis (e.g., head and body pose, camera-based heart rate estimation, etc.). I will concentrate on behavior modeling and recognition, with an emphasis on sensing and understanding users’ interactive actions and intentions for achieving multimodal social interaction in natural settings, in particular pertaining to human dynamic face and body behavior in context dependent situations (task, mood/affect). Perspectives on multisensory observation will be addressed.
Nicu Sebe is a professor in the University of Trento, Italy, where he is the director of the Department of Information Engineering and Computer Science. He is leading the research in the areas of multimedia information retrieval and human-computer interaction in computer vision applications. 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 Image and Video Retrieval (CIVR) 2007 and 2010. He was a general chair of ACM Multimedia 2013 and ACM ICMR 2017 and a program chair of ACM Multimedia 2011 and 2007, ECCV 2016 and ICCV 2017. He is the program chair of ICPR 2020. Currently he is the ACM SIGMM vice chair. He is a fellow of IAPR and a Senior member of ACM and IEEE.