Prof. Weisi Lin (IEEE, IET Fellow)
Nanyang Technological University, Singapore
Weisi Lin is an active researcher and research leader in perception-driven visual computing, intelligent multimedia signal processing, image and video coding, and machine learning with massive data. He earned his BSc and MSc in Sun Yat-Sen University in 1982 and 1985, respectively, and PhD in King's College London, UK, in 1993. He had been the Lab Head, Visual Processing, in Institute for Infocomm Research (I2R), Singapore. He is a Professorin School of Computer Science and Engineering, Nanyang Technological University, where he also served as the Associate Chair (Research).
He is a Fellow of IEEE and IET, and has been awarded Highly Cited Researcher (2019, 2020) by Clarivate Analytics. He has elected as a Distinguished Lecturer in both IEEE Circuits and Systems Society (2016-17) and Asia-Pacific Signal and Information Processing Association (2012-13), and given keynote/invited/tutorial/panel talks to 30+ international conferences. He has been an Associate Editor for IEEE Trans. Image Process., IEEE Trans. Circuits Syst. Video Technol., IEEE Trans. Multimedia, IEEE Signal Process. Lett., Quality and User Experience, and J. Visual Commun. Image Represent, as well as a Guest Editor for 7 special issues in international journals. He chaired the IEEE MMTC QoE Interest Group (2012-2014), and has been a Technical Program Chair for PCM 2012, IEEE ICME 2013, QoMEX 2014, PV 2015, IFTC 2016 and IEEE VCIP 2017. He believes that good theory is practical, and has delivered 10+ major modules and systems for industrial deployment with the technology developed, for economic and social impact.
Prof. Ioannis Pitas (IEEE Fellow)
Aristotle University of Thessaloniki, Greece
Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki (AUTH), Greece. Since 1994, he has been a Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab. He served as a Visiting Professor at several Universities.
His current interests are in the areas of computer vision, machine learning, autonomous systems, intelligent digital media, image/video processing, human-centred computing, affective computing, 3D imaging and biomedical imaging. He has published over 920 papers, contributed in 45 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 13 international journals and General or Technical Chair of 5 international conferences. He delivered 98 keynote/invited speeches worldwide. He co-organized 33 conferences and participated in technical committees of 291 conferences. He participated in 71 R&D projects, primarily funded by the European Union and is/was principal investigator in 43 such projects. Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is AUTH principal investigator in H2020 R&D projects Aerial Core and AI4Media. He was chair and initiator of the Autonomous Systems Initiative https://ieeeasi.signalprocessingsociety.org/. He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 33100+ citations to his work and h-index 86+ (Google Scholar).
Prof. Min Wu (IEEE, AAAS Fellow)
University of Maryland, College Park, USA
Min Wu is a Professor of Electrical and Computer Engineering and a Distinguished Scholar-Teacher at the University of Maryland, College Park. She is currently serving as Associate Dean for Graduate Affairs for the University’s Clark School of Engineering. She received the B.E. degree in electrical engineering -- automation and the B.A. degree in economics from Tsinghua University, Beijing, China, in 1996 with the highest honors, and her Ph.D. degree in electrical engineering from Princeton University in 2001. At UMD, she leads the Media and Security Team (MAST), with main research interests on information security and forensics, multimedia signal processing, and applications of data science and machine learning in health and IoT. Her research and education have been recognized by a U.S. NSF CAREER award, a TR100 Young Innovator Award from the MIT Technology Review, a U.S. ONR Young Investigator Award, a Computer World "40 Under 40" IT Innovator Award, an IEEE Harriett B. Rigas Education Award, an IEEE Distinguished Lecturer recognition, and several paper awards from IEEE SPS, ACM, and EURASIP. She was elected as IEEE Fellow, AAAS Fellow, and Fellow of the National Academy of Inventors for contributions to multimedia security and forensics. Dr. Wu chaired the IEEE Technical Committee on Information Forensics and Security (2012-2013), and has served as Vice President - Finance of the IEEE Signal Processing Society (2010-2012) and Editor-in-Chief of the IEEE Signal Processing Magazine (2015-2017). [URL: http://www.ece.umd.edu/~minwu/bio.html]
Prof. Zhi Gao
Wuhan University, China
Dr. Zhi Gao is Full Professor at Wuhan University leading the Unmanned System Surveying and Mapping Lab. He also serves as an associate editor of the journal Unmanned Systems. Since 2019, he has been supported by the distinguished professor program of Hubei Province and the National Young Talent Program, China. Prof. Gao received the B.Eng. and the Ph.D degrees from Wuhan University, China in 2002 and 2007 respectively. Since 2008, he joined the Interactive and Digital Media Institute, National University of Singapore (NUS), as a Research Fellow (A) and project manager. In 2014, he joined Temasek Laboratories in NUS (TL@NUS) as a Research Scientiest (A) and Principal Investigator. In Oct 2019, he joined Wuhan University as a professor. He has published more than 70 research papers on top journals and conferences, such as IJCV, IEEE T-PAMI, IEEE TIE, IEEE TGRS, IEEE T-ITS, ISPRS JPRS, Neurocomputing, IEEE TCSVT, CVPR, ECCV, ACCV, BMVC, etc. His research interests include computer vision, machine learning, remote sensing and their applications. In particular, he has strong interests in vision for intelligent systems and intelligent system based vision.
Speech Title: Vision for Intelligent systems and Intelligent Systems based Vision
Abstract: In this amazing AI era, a variety of intelligent systems, such as unmanned ground vehicles (UGVs), unmanned aerial vehicles (UAVs), etc, have been developed to accomplish many tasks of different complexities. For such intelligent agents, vision typically plays a critical role, which not only provides necessary information for localization, obstacle avoidance, and navigation to ensure that the agent can move quickly and safely to the designated location, but also realizes scene understanding to address specific task. In this talk, advanced techniques of these two aspects will be introduced, including bio-inspired motion estimation, localization in challenging environments, and target detection.