We are very happy to announce the following keynote speakers for the
International Symposium on Computer Vision for Public Security (CVPS’22) :
Prof. Weisi Lin
FIEEE, FIET, CEng, Hon. FSIET
Associate Chair (Research)
School of Computer Science and Engineering
Nanyang Technological University
Lin Weisi is an active researcher in intelligent image
processing, perception-based signal modelling and assessment,
video compression, and multimedia communication. He had been the
Lab Head, Visual Processing, in Institute for Infocomm Research
(I2R)，Singapore. He is a Professor in 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 and 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 in 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. He also
chaired the IEEE MMTC QoE Interest Group (2012-2014); he has
been a TP Chair for IEEE ICME 2013, QoMEX 2014, PV 2015, PCM
2012 and IEEE VCIP 2017. He believes that good theory is
practical, and has delivered 10+ major systems and modules for
industrial deployment with the related technology developed.
Topic of
Keynote:
Deep-learnt
Features to Facilitate Image Compression and Computer Vision
with an Integrated Framework
Keynote
Abstract
:
It has been long for image (or video) compression and computer
vision to be two largely separate domains, and as a result, a
computer vision task typically can only start after a whole
image is decoded. This talk explores for intermediate
deep-learnt visual features (rather than whole image/video) to
be extracted and then coded, and this facilitates integration of
signal compression and computer vision, accurate feature
extraction, privacy preservation, flexible load distribution
between edge and cloud, and green visual computing. It is hoped
that the presentation can trigger more R&D in the related fields
due to the nature of fundamental paradigm-shift in the proposed
framework.
Prof. Nam Ling
IEEE Fellow, IET Fellow
Wilmot J. Nicholson Family Chair Professor
Chair, Department of Computer Science and Engineering
Santa Clara University
Nam Ling received the B.Eng. degree (Electrical Engineering)
from the National University of Singapore and the M.S. and Ph.D.
degrees (Computer Engineering) from the University of Louisiana,
Lafayette, U.S.A. He is currently the Wilmot J. Nicholson Family
Chair Professor (Endowed Chair) of Santa Clara University
(U.S.A) (since 2020) and the Chair of its Department of Computer
Science & Engineering (since 2010). From 2010 to 2020, he was
the Sanfilippo Family Chair Professor (Endowed Chair) of Santa
Clara University. From 2002 to 2010, he was an Associate Dean
for its School of Engineering (Graduate Studies, Research, and
Faculty Development). He is/was also a Distinguished Professor
for Xi’an University of Posts & Telecommunications, a Cuiying
Chair Professor for Lanzhou University, a Guest Professor for
Tianjin University, a Chair Professor and Minjiang Scholar for
Fuzhou University, a Guest Professor for Shanghai Jiao Tong
University, a Guest Professor for Zhongyuan University of
Technology (China), and a Consulting Professor for the National
University of Singapore. He has more than 230 publications
(including books) in video/image coding and systolic arrays. He
also has seven adopted standards contributions and has been
granted with more than 20 U.S./European/PCT patents. He is an
IEEE Fellow due to his contributions to video coding algorithms
and architectures. He is also an IET Fellow. He was named IEEE
Distinguished Lecturer twice and was also an APSIPA
Distinguished Lecturer. He received the IEEE ICCE Best Paper
Award (First Place) and the IEEE Umedia Best/Excellent Paper
Awards (three times). He received six awards from Santa Clara
University, four at the University level (Outstanding
Achievement, Recent Achievement in Scholarship, President’s
Recognition, and Sustained Excellence in Scholarship) and two at
the School/College level (Researcher of the Year and Teaching
Excellence). He has served as Keynote Speaker for IEEE APCCAS,
VCVP (twice), JCPC, IEEE ICAST, IEEE ICIEA, IET FC & U-Media,
IEEE U-Media, Workshop at XUPT (twice), ICCIT, as well as a
Distinguished Speaker for IEEE ICIEA. He is/was General Chair/Co
Chair for IEEE Hot Chips, VCVP (twice), IEEE ICME, IEEE U-Media
(five times), and IEEE SiPS. He was an Honorary Co-Chair for
IEEE Umedia. He has also served as Technical Program Co Chair
for IEEE ISCAS, APSIPA ASC, IEEE APCCAS, IEEE SiPS (twice), DCV,
and IEEE VCIP. He was Technical Committee Chair for IEEE CASCOM
TC and IEEE TCMM, and has served as Guest Editor/Associate
Editor for IEEE TCAS I, IEEE J-STSP, Springer JSPS, Springer
MSSP, and other journals. He has delivered more than 120 invited
colloquia worldwide and has served as Visiting
Professor/Consultant/Scientist for many institutions/companies.
Recently, he organized and conducted an APSIPA panel on "The
Future of Video Coding", with great response.
Topic of
Keynote: TBA soon
Keynote
Abstract
: TBA
soon