AIVR2021 was held online during July 23-25, 2021. We would like to take this opportunity to express our sincere gratitude and highest respects to our speakers, committee members and all participants.

Date Place Publication Indexing
July 23-25, 2021 Virtual Conference ACM EI CompendexScopus





Congratulations to the winners of the best paper presentations.

Session 1: Digital Image Processing and Application I
Presenter: Haigang Wang
Chinese Academy of Sciences, China
Investigation of Gas/Oil/Water Distribution Based on Electrical Capacitance and Microwave Tomography

Session 2: Digital Image Processing and Application II
Presenter: Ke Ren
Beijing Institute of Graphic Communication, China
Design and Implementation of Immersive and Interactive System Based on Unreal Engine

Session 3: Virtual Technology and Application
Presenter: Daniel Garrid
University of Porto, Portugal
Point Cloud Interaction and Manipulation in Virtual Reality

Session 4: Electronic Engineering and Signal Processing
Presenter: Yuto Osada
Tokyo City University, Japan
Design of Ghost-free Aerial Display by Using Polarizing Plate and Dihedral Corner Reflector Array


Keynote Speakers of AIVR2021


Prof. Demetri Terzopoulos
ACM Fellow, IEEE Fellow, Fellow of the Royal Society of London, Fellow of the Royal Society of Canada

University of California, Los Angeles, USA

Biography: Demetri Terzopoulos is a Distinguished Professor and Chancellor's Professor of Computer Science at the University of California, Los Angeles, where he directs the UCLA Computer Graphics & Vision Laboratory. He is also Co-Founder and Chief Scientist of VoxelCloud, a multinational company that applies artificial intelligence to healthcare. He received his PhD degree ('84) in Artificial Intelligence from MIT. He is or was a Guggenheim Fellow, a Fellow of the ACM and IEEE, a Fellow of the Royal Society of London and the Royal Society of Canada, among other organizations. His research is primarily in computer graphics, computer vision, medical imaging, computer-aided design, and artificial intelligence/life. His many awards include an Academy Award for Technical Achievement from the Academy of Motion Picture Arts and Sciences for his pioneering work on physics-based computer animation, and IEEE's Computer Pioneer Award, Helmholtz Prize, and inaugural Computer Vision Distinguished!

Researcher Award for his pioneering and sustained research on deformable models and their applications. Prior to joining UCLA in 2005, he held a chaired professorship in computer science and mathematics at New York University, and previously he was a professor of computer science and electrical and computer engineering at the University of Toronto.

Title: Bio-Inspired Imaging and the Deep Learning of Neuromuscular Sensorimotor Control for Realistic Human Simulation
Abstract:  (Click to Download)

Prof. Dapeng Oliver Wu
IEEE Fellow

University of Florida, USA

Biography: Dapeng Oliver Wu received Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, PA, in 2003. Since 2003, he has been on the faculty of Electrical and Computer Engineering Department at University of Florida, Gainesville, FL, where he is currently Professor. His research interests are in the areas of networking, communications, video coding, image processing, computer vision, signal processing, and machine learning.

He received University of Florida Term Professorship Award in 2017, University of Florida Research Foundation Professorship Award in 2009, AFOSR Young Investigator Program (YIP) Award in 2009, ONR Young Investigator Program (YIP) Award in 2008, NSF CAREER award in 2007, the IEEE Circuits and Systems for Video Technology (CSVT) Transactions Best Paper Award for Year 2001, the Best Paper Award in GLOBECOM 2011, and the Best Paper Award in QShine 2006. He has served as Editor-in-Chief of IEEE Transactions on Network Science and Engineering, and Associate Editor of IEEE Transactions on Communications, IEEE Transactions on Signal and Information Processing over Networks, and IEEE Signal Processing Magazine. He was the founding Editor-in-Chief of Journal of Advances in Multimedia between 2006 and 2008, and an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology. He has served as Technical Program Committee (TPC) Chair for IEEE INFOCOM 2012. He was elected as a Distinguished Lecturer by IEEE Vehicular Technology Society in 2016. He is an IEEE Fellow.

Title: Tensor Product Generation Networks for Deep NLP Modeling
Abstract:  (Click to Download)

Prof. Erik Meijering
IEEE Fellow

University of New South Wales, Sydney, Australia

Biography: Erik Meijering is a Professor of Biomedical Image Computing at the University of New South Wales (UNSW) in Sydney, Australia. His research interests are in Computer Vision and Artificial Intelligence for Quantitative Biomedical Image Analysis, on which he has published more than 100 papers. He received his PhD degree in Medical Image Analysis from Utrecht University in 2000 and the MSc degree in Electrical Engineering from Delft University of Technology in 1996, both in the Netherlands. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and serves on the IEEE SPS Technical Committee on Bio Imaging and Signal Processing (BISP), the IEEE EMBS Technical Committee on Biomedical Imaging and Image Processing (BIIP), and the cross-Society IEEE Life Sciences Technical Community (LSTC). Over the years he was/is an Associate Editor for the IEEE Transactions on Medical Imaging (since 2004), the International Journal on Biomedical Imaging (2006-2009), the IEEE Transactions on Image Processing (2008-2011), has co-edited various journal special issues and co-organized conferences in the field, notably the IEEE International Symposium on Biomedical Imaging (ISBI) and the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). He also served/serves on a great variety of other international conference, advisory, and review boards.

Title: Artificial Intelligence in Biomedical Image Computing
Abstract:  (Click to Download)


Prof. Tak Wu Sam Kwong
IEEE Fellow

Chair Professor of Computer Science, City University of Hong Kong, China

Biography: Sam Kwong received his B.Sc. degree from the State University of New York at Buffalo, M.A.Sc. in electrical engineering from the University of Waterloo in Canada, and Ph.D. from Fernuniversität Hagen, Germany. Before joining the City University of Hong Kong (CityU), he was a Diagnostic Engineer with Control Data Canada, where he was responsible for designing diagnostic software to detect the manufacturing faults of the VLSI chips in the Cyber 430 machine. He later joined Bell Northern Research as a Member of Scientific Staff working on the Integrated Services Digital Network (ISDN) project.

Kwong is currently Chair Professor at the CityU Department of Computer Science, where he previously served as Department Head and Professor from 2012 to 2018. Prof Kwong joined CityU as a lecturer in the Department of Electronic Engineering in 1989. Prof. Kwong is currently the associate editor of leading IEEE transaction journals, including IEEE Transactions on Evolutionary Computation, IEEE Transactions on Industrial Informatics, and IEEE Transactions on Industrial Electronics.

Kwong is actively engaged in knowledge exchange between academia and industry. In 1996, he was responsible for designing the first handheld GSM mobile phone consultancy project at the City University of Hong Kong, one of the largest at the time. He has filed 13 US patents, of which 8 have been granted.

Kwong has a prolific research record. He has coauthored three research books, eight book chapters, and over 300 technical papers. His works have been cited over 19,000 times according to Google Scholar with an h-index of 59. He has been the distinguished lecturer of IEEE SMCS since 2018 and delivers two DL lectures yearly to promote IEEE SMC Society and cutting-edge cybernetics technology. He also frequently delivers keynote speeches in IEEE supported conferences. In 2014, he was elevated to IEEE Fellow for his contributions to optimization techniques in cybernetics and video coding.

Kwong’s involvement in the multiple facets of IEEE throughout the years has been extensive and committed. With respect to IEEE Systems, Man and Cybernetics Society (SMCS), he serves as Hong Kong SMCS Chapter Chairman, Board Member, Conference Coordinator, Membership Coordinator and Member of the Long Range Planning and Finance Committee, Vice President of Conferences and Meetings, Vice President of Cybernetics. He led the IEEE SMC Hong Kong Chapter to win the Best Chapter Award in 2011 and was awarded Outstanding Contribution Awards for his contributions to SMC 2015. In 2021, he is currently President-Elect of the IEEE SMC Society.

Title: Enhancing Video Coding by Data-driven Techniques and Advanced Models
Abstract:  (Click to Download)



AIVR2021 Proceedings

All papers of AIVR2021 will be published in the International Conference Proceedings Series by ACM (ISBN: 978-1-4503-8414-8). which will be indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science)

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