IVPAI2023 has been held successfully on December 14, 2023 on virtual. IVPAI2023 achieved its great success.

The scientific program for the event was filled with presentations delivered by researchers and scholars from the international community, including Keynote speeches, Invited speeches and Oral presentation sessions. IVPAI got the publication support from SPIE. Every paper in this collection underwent rigorous peer-review performed by the conference technical committee and international reviewers before being selected for publication.

IVPAI attracted more than 4000 applicants from more than 20 countries and regions. IVPAI presented a collection of high quality research articles and presentations that address broad challenges on both theoretical and application aspects of artificial intelligence in image & video processing.  The conference discuss the top technology of AI included machine learning, natural language processing, robotics, smart city, manufacturing Intelligence and so on. The conference also invited some famous professors such as Prof. Henry Leung from University of Calgary, SPIE Fellow, IEEE Fellow; Prof. Nasser Kehtarnavaz from University of Texas at Dallas, SPIE Fellow, IEEE Fellow, AAIA Fellow; Prof. Changsheng Xu from Chinese Academy of Sciences, IEEE Fellow, IAPR Fellow; Prof. Zhu Han from University of Houston, IEEE Fellow, AAAS Fellow; Prof. Lap-Pui Chau from The Hong Kong Polytechnic University, IEEE Fellow; Prof. Zhongfei (Mark) Zhang from Binghamton University, State University of New York, IEEE Fellow, IAPR Fellow, AAIA Fellow; Prof. Hui Yuan, from Shandong University, IEEE Senior Member; Assoc. Prof. Liang Wang from Sun Yat-Sen University; Prof. Syed Abdul Rahman Abu-Bakar from Universiti Teknologi Malaysia; Prof. Assoc. Prof. Danilo Vasconcellos Vargas from Kyushu University; Assoc. Prof. Ran Cheng from Southern University of Science and Technology; Assoc. Prof. Lili N Abdullah from Universiti Putra Malaysia.
Appreciated so much for their contributions and willing to share their new research developments in IVPAI.


Prof.Henry Leung
University of Calgary, Canada
SPIE Fellow, IEEE Fellow

Speech Title: 3D Computer Vision with Applications to Autonomous Vehicles

Short Bio: Henry Leung is a Schulich Industry Research Chair Professor of the Department of Electrical and Software Engineering at the University of Calgary, Canada. His current research interests include data analytic, information fusion, machine learning, signal and image processing, robotics, and internet of things. He has published over 350 journal papers and 250 refereed conference papers. Dr. Leung has been the associate editor of various journals such as the IEEE Circuits and Systems Magazine, International Journal on Information Fusion, IEEE Trans. Aerospace and Electronic Systems, IEEE Signal Processing Letters, IEEE Trans. Circuits and Systems, Scientific Reports He has also served as guest editors for the special issue “Intelligent Transportation Systems” for the International Journal on Information Fusion and “Cognitive Sensor Networks” for the IEEE Sensor Journal. He is the editor of the Springer book series on “Information Fusion and Data Science”. He is a Fellow of IEEE and SPIE.

Prof.Nasser Kehtarnavaz
University of Texas at Dallas, USA
SPIE Fellow, IEEE Fellow, AAIA Fellow

Speech Title: Mobile Edge AI: Machine Learning Solutions as Real-Time Smartphone Apps

Short Bio: Nasser Kehtarnavaz is an Erik Jonsson Distinguished Professor with the Department of Electrical and Computer Engineering and the Director of the Embedded Machine Learning Laboratory at The University of Texas at Dallas, Richardson, TX. His research areas include signal and image processing, machine learning, deep learning, and real-time implementation on embedded processors. He has authored or coauthored 11 books and over 400 publications in these areas. He is a Fellow of IEEE, a Fellow of SPIE, a Fellow of AAIA, a licensed Professional Engineer, and Editor-in-Chief of Journal of Real-Time Image Processing.

Prof.Changsheng Xu
Chinese Academy of Sciences, China
IEEE Fellow, IAPR Fellow

Speech Title: Connecting Isolated Social Multimedia Big Data

Short Bio: Changsheng Xu is a professor of Institute of Automation, Chinese Academy of Sciences. His research interests include multimedia content analysis/indexing/retrieval, pattern recognition and computer vision. He has hold 50+ granted/pending patents and published over 500 refereed research papers including 100+ IEEE/ACM Trans. papers in these areas.
Prof. Xu serves as Editor-in-Chief of Multimedia Systems Journal and Associate Editor of ACM Trans. on Multimedia Computing, Communications and Applications. He received the Best Paper Awards of ACM Multimedia 2016, 2016 ACM Trans. on Multimedia Computing, Communications and Applications and 2017 IEEE Multimedia. He served as Associate Editor of IEEE Transactions on Multimedia and Program Chair of ACM Multimedia 2009. He has served as associate editor, guest editor, general chair, program chair, area/track chair and TPC member for over 20 IEEE and ACM prestigious multimedia journals, conferences and workshops. He is an ACM Distinguished Scientist, IEEE Fellow, and IAPR Fellow.

Prof.Zhu Han
University of Houston, USA
IEEE Fellow, AAAS Fellow

Speech Title: Mean Field Games Guided Machine Learning in Distributed Systems

Short Bio: Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor at Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in the Electrical and Computer Engineering Department as well as the Computer Science Department at the University of Houston, Texas. Dr. Han is an NSF CAREER award recipient of 2010, and the winner of the 2021 IEEE Kiyo Tomiyasu Award. He has been an IEEE fellow since 2014, an AAAS fellow since 2020, an IEEE Distinguished Lecturer from 2015 to 2018, and an ACM Distinguished Speaker from 2022-2025. Dr. Han is also a 1% highly cited researcher since 2017.

Prof.Lap-Pui Chau
The Hong Kong Polytechnic University, China
IEEE Fellow

Speech Title: Video-based Vehicle Re-identification in Surveillance System

Short Bio: Lap-Pui Chau received a Ph.D. degree from The Hong Kong Polytechnic University in 1997. He was with the School of Electrical and Electronic Engineering, Nanyang Technological University from 1997 to 2022. He is currently a Professor in the Department of Electronic and Information Engineering, The Hong Kong Polytechnic University. His current research interests include image and video analytics, intelligent transportation, human motion analysis, and metaverse. He is an IEEE Fellow. He was the chair of Technical Committee on Circuits & Systems for Communications of IEEE Circuits and Systems Society from 2010 to 2012. He was general chairs and program chairs for some international conferences. Besides, he served as associate editors for several IEEE journals and Distinguished Lecturer for IEEE BTS.

Prof.Zhongfei (Mark) Zhang
Binghamton University, State University of New York, USA
IEEE Fellow, IAPR Fellow, AAIA Fellow

Speech Title: Uncertainty Analysis for Deep Learning

Short Bio: Zhongfei (Mark) Zhang is a professor at Computer Science Department, Binghamton University, State University of New York (SUNY), USA. He received a B.S. in Electronics Engineering (with Honors), an M.S. in Information Sciences, both from Zhejiang University, China, and a PhD in Computer Science from the University of Massachusetts at Amherst, USA. His research interests are in the broad areas of machine learning, data mining, computer vision, and pattern recognition, and specifically focus on multimedia/multimodal data understanding and mining. He was on the faculty of Computer Science and Engineering at the University at Buffalo, SUNY, before he joined the faculty of Computer Science at Binghamton University, SUNY. He is the author or co-author of the very first monograph on multimedia data mining and the very first monograph on relational data clustering. He has published over 200 papers in the premier venues in his areas. He holds more than twenty inventions, has served as members of the organization committees of several premier international conferences in his areas including general co-chair and lead program chair, and as editorial board members for several international journals. He served as a French CNRS Chair Professor of Computer Science at the University of Lille 1 in France, a JSPS Fellow in Chuo University, Japan, a QiuShi Chair Professor in Zhejiang University, China, as well as visiting professorships from many universities and research labs in the world when he was on leave from Binghamton University years ago. He received many honors including SUNY Chancellor’s Award for Scholarship and Creative Activities, SUNY Chancellor’s Promising Inventor Award, and best paper awards from several premier conferences in his areas. He is a Fellow of IEEE, IAPR, and AAIA.

Prof. Hui Yuan
Shandong University, China

Speech Title: Perceptual quality-based joint bit allocation between geometry and color for 3D dense point cloud

Short Bio: Hui Yuan (Senior Member, IEEE) received the B.E. and Ph.D. degrees in telecommunication engineering from Xidian University, Xi’an, China, in 2006 and 2011, respectively. In April 2011, he joined Shandong University, Ji’nan, China, as a Lecturer (April 2011–December 2014), an Associate Professor (January 2015-October 2016), and a Professor (September 2016). From January 2013 to December 2014, and from November 2017 to February 2018, he worked as a Postdoctoral Fellow (Granted by the Hong Kong Scholar Project) and a Research Fellow, respectively, with the Department of Computer Science, City University of Hong Kong. From November 2020 to November 2021, he worked as a Marie Curie Fellow (Granted by the Marie Skłodowska-Curie Actions Individual Fellowship under Horizon2020 Europe) with the School of Engineering and Sustainable Development, De Montfort University, Leicester, U.K. From October 2021 to November 2021, he also worked as a visiting researcher (secondment of the Marie Skłodowska-Curie Individual Fellowships) with the Computer Vision and Graphics group, Fraunhofer Heinrich-Hertz-Institut (HHI), Germany. His current research interests include 3D visual coding and communication. He served as an Area Chair for IEEE ICME 2023, ICME 2022, ICME 2021, IEEE ICME 2020, and IEEE VCIP 2020. He serves as a member of IEEE CTSoc Audio/Video Systems and Signal Processing Technical Committee (AVS TC) and APSIPA Image, Video, and Multimedia Technical Committee.

Assoc. Prof. Liang Wang
Sun Yat-Sen University, China

Speech Title: Student-motivation analysis according to raising-hand videos

Short Bio: Associate professor and doctor tutor of School of Electronic and Communication Engineering, Sun Yat-Sen University. Graduated from Beijing Jiaotong University with a Ph.D., and a postdoctoral fellow at MIT, with profound theoretical foundation and rich engineering practice experience. As the person in charge and the main participant, he has successively undertaken a real-time warning system for dangerous vehicles at night (funded by the US Department of Justice), the bilateral cruise control theory sub-project of the Toyota-MIT Unmanned Vehicle Project (funded by the Toyota Research Institute), XX and other projects2 the total cost is more than 10 million yuan. Many research results are at the domestic and international advanced level. He has published more than 20 academic papers, of which 8 are indexed by SCI, 16 are indexed by EI, 1 monograph and 1 textbook. He teaches the course "Microcomputer Principles and Embedded Systems", teaching the basic principles, architecture and functions of computer systems. On the basis of theoretical learning, students are guided to implement corresponding machine vision and intelligent perception algorithms on the MCU system, so as to realize the demonstration of complete physical models (such as unmanned vehicles or drone models).

Prof. Syed Abdul Rahman Abu-Bakar
Universiti Teknologi Malaysia, Johor, Malaysia

Speech Title: Multi Attention-Based Approach to Detect and Localize DeepFake Face and Expression Swap

Short Bio: Syed Abd Rahman Abu-Bakar received his PhD degree from the University of Bradford, England. He joined the Faculty of Electrical Engineering in Universiti Teknologi Malaysia since 1992. He is currently a full professor in the Electronics and Computer Engineering division. In 2004, he formed the Computer Vision, Video and Image Processing research lab and has become the head since then. His main research interest is in computer vision and image processing with applications in video-based security and surveillance, medical image processing, and biometrics. He has published more than 150 scientific papers both at national and international levels.

Assoc. Prof. Danilo Vasconcellos Vargas
Kyushu University, Japan

Speech Title: Unleashing Intelligence: Exploring New Horizons for Natural and Synthetic Minds

Short Bio: Danilo Vasconcellos Vargas is currently an Associate Professor at Kyushu University, Visiting Researcher at the University of Tokyo and CEO & Founder of MiraiX. His research interests span Artificial Intelligence (AI), evolutionary computation, complex adaptive systems, interdisciplinary studies involving or using an AI’s perspective and AI applications. Many of his works were published in prestigious journals such as Evolutionary Computation (MIT Press), IEEE Transactions on Evolutionary Computation and and IEEE Transactions of Neural Networks and Learning Systems with press coverage in news magazines such as BBC news. He received awards such as the IEEE Transactions on Evolutionary Computation Outstanding 2022 Paper award, the IEEE Excellent Student Award and scholarships to study in Brazil, Germany and Japan for many years. Regarding his community activities, he presented tutorials at GECCO2018, WCCI2020 and at the renowned top AI conference IJCAI2020. He was also co-organizer and advisor committee of various workshops both about AI and about multidisciplinary perspectives for AI with more than 10 invited talks, one of which was given in a workshop in CVPR 2019. Currently, he leads the Laboratory of Intelligent Systems aimed at building a new age of robust and adaptive artificial intelligence funded/supported by the two biggest Japan's funding agencies: JST and JSPS (including JST ACT-I, JST ACT-I Accelaration Phase, JSPS Kakenhi Wakate). More info can be found both in his Website and his Lab Page. More info can be found both in his Company and his Lab Page.

Assoc.Prof. Ran Cheng
Southern University of Science and Technology, China

Speech Title: Automated Hardware-Aware Deployment of Deep Learning Models

Short Bio: Dr. Cheng Ran is currently a tenured Associate Professor at Southern University of Science and Technology. He focuses on research in Computational Intelligence and is dedicated to harnessing the potential of computational power through algorithmic intelligence, providing efficient solutions for complex computational problems. He has published over 100 peer reviewed papers with over 9,000 citations. He is the recipient of IEEE CIS Outstanding Ph.D. Dissertation Award (2019), IEEE TEVC Outstanding Paper Award (2018, 2021), and IEEE CIM Outstanding Paper Award (2020). He currently serves as the Chair of the IEEE CIS Shenzhen Chapter and is the Associate Editor of prestigious journals such as IEEE TEVC, IEEE TAI, IEEE TCDS, and IEEE TETCI.

Assoc. Prof. Lili N Abdullah
Universiti Putra Malaysia, Malaysia


Short Bio: Associate Prof. Lili N Abdullah currently working at Faculty of Computer Science and Information Technology, University Putra Malaysia. She is experienced and highly skilled academician to mentor students to achieve their academic goals, oversee computer science in a complex research and development environment, make professional and community contributions, be recognized as excellence for teaching and learning with technology, manage and collaborate with multiple partnership between national and international agencies and community and administer resources efficiently. She has (co)authored over 100 peer-reviewed articles, served as (Co-)Chair for international conferences, member of International/National Associations as Senior and Life Member, and associated with International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. She is on the editorial boards of few journals. She has conducted many successful industrial projects and academic grants and awarded awards for Teaching and Research. She is now actively involving in image processing, forensics, cybersecurity and HCI research areas.