ICISPC 2021
ICISPC 2021 conference History
ICISPC 2021 was held online during July 23-25, 2021. We are deeply grateful that this year's conference was held as scheduled and we had fruitful exchanges and discussions with all participants via the Internet. Good news, ICISPC2021 proceedings are indexed by EI Compendex and Scopus.
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
Speakers of ICISPC2021
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)