Umapada Pal received his PhD from Indian Statistical Institute in 1997 and he did his Post Doctoral research at INRIA, France. From January 1997, he is a faculty member of Computer Vision and Pattern Recognition Unit of the Indian Statistical Institute, Kolkata. He was the former Head and at present he is a Professor of Computer Vision and Pattern Recognition Unit. He is also an Adjunct Professor of University of Technology Sydney, Australia. His fields of research interest are towards different pattern recognition and computer vision problems like Digital document analysis, Camera/video text processing, Biometrics, Image retrieval, Keyword spotting, Video analysis, Medical image analysis, Pose estimation, Image/video generation etc. He has published more than 520 research papers in various international journals, conference proceedings and edited volumes. He is a Fellow of International Association for Pattern Recognition (IAPR), Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), Fellow of the Indian National Academy of Engineering (INAE), fellow of the West Bengal Academy of Science and Technology etc. He is among the top two percent scientists in the world as listed by the Stanford University in 2020, 2021 as well as in the current year 2022.
Prof. Yasushi Yagi is a Professor in the Department of Intelligent Media at the Institute of Scientific and Industrial Research, Osaka University, Japan. He received his B.Eng., M.Eng., and D.Eng. in Control Engineering from Osaka University. His research interests include computer vision, pattern recognition, image media, and intelligent systems. Over the course of his distinguished career, he has held academic and research positions at Osaka University, Mitsubishi Electric Corporation, and the University of Oxford, and has served in important roles for many leading international conferences and journals in computer vision and related fields. He is also the recipient of the 53rd Best Paper Award from the Institute of Electronics, Information and Communication Engineers.
Abstract
An avatar society is emerging, encompassing the metaverse and cybernetic avatars. While increased opportunities to interact with strangers in unfamiliar lands (including virtual worlds) and foster a richer society, technological advancements also lead to a rise in risks such as personal information theft, identity theft, and account hijacking. This presentation will introduce our activities regarding future matching technologies to address these challenges in the future society.
