Track 2
Image and Video Processing
1. Track Chairs:
Prof. Shaoshuai Gao, University of Chinese
Academy of Sciences, China
Prof. Yuri Rzhanov, University of New Hampshire,
United States
Assoc. Prof.
Xiongkuo
Min, Shanghai Jiao Tong
University, China
2. Track Topics:
Potential topics of interest include but are not
limited to:
▪ Multidimensional Signal Processing
▪ Image/Video Processing and Coding
▪ Image Processing & Understanding
▪ Signal Processing and Communications
▪ Image Compression and Transmission
▪ Image Recovery
▪ Watermarking and Information Hiding
▪ Video Compression & Streaming
3. Introduction of Track Chairs
Track
Chair 1: Prof. Shaoshuai Gao,
University of Chinese Academy of Sciences, China
Email:
ssgao@ucas.ac.cn
Personal Website:
http://people.ucas.ac.cn/~0010293?language=en
SHAOSHUAI GAO received the B.S. degree from Tianjin
University, Tianjin, China, in 1998, and the Ph.D.
degree in signal and information processing from the
Graduate University of Chinese Academy of Sciences,
Beijing, China. He engaged in post doctoral research
on error resilient video coding at Nanyang
Technological University, Singapore, from 2003 to
2004. He was a Researcher with the National
Institute of Standards and Technology, USA, from
2004 to 2009. He has been a Professor with the
University of Chinese Academy of Sciences since
2009. His main research interests include wireless
communication, visible light communication, video
processing, and communication, etc. He has
undertaken and participated in several key and
general projects of the National Natural Science
Foundation of China, National Key R & D Plans, etc.
He won the second prize of National Technological
Invention, the second prize of Technological
Invention for Outstanding Achievements in Scientific
Research in Colleges and Universities, and the
second prize of Beijing Science and Technology. He
has published more than 60 papers in top journals
and conferences.
Track
Chair 2: Prof. Yuri Rzhanov,
University of New Hampshire, United States
Email:
yuri.rzhanov@unh.edu
Personal Website:
https://ccom.unh.edu/user/yrzhanov
Dr. Rzhanov's research interests are in the signal
and image processing and analysis. Specifically,
underwater optical sensing, refractive effects,
optimal calibration of camera arrays, 3D
reconstruction of scenes, including using
time-of-flight cameras, automatic monitoring and
classification of aquatic habitats, estimation of
species? abundance, classification of seafloor
facies from acoustic backscatter, and derivation of
nearshore bathymetry from satellite data. After
defending PhD thesis on nonlinear self-organization
phenomena in solid state materials, he worked on
numerical modeling of nonlinear effects in lasers,
development of interactive educational software, and
2D and 3D signal processing. Currently Dr. Rzhanov
is a Research Professor at the Center of Coastal and
Ocean Mapping, UNH, and is working on time-of-flight
cameras underwater and extraction of bathymetry from
ICESat-2 products.
Track
Chair 3: Assoc. Prof.
Xiongkuo Min,
Shanghai Jiao Tong University, China
Email:
minxiongkuo@sjtu.edu.cn
Personal Website:
https://ee.sjtu.edu.cn/FacultyDetail.aspx?id=213&infoid=66&flag=66
Xiongkuo Min received the B.E. degree from Wuhan
University, Wuhan, China, in 2013, and the Ph.D.
degree from Shanghai Jiao Tong University, Shanghai,
China, in 2018, where he is currently a tenure-track
Associate Professor with the Institute of Image
Communication and Network Engineering. From Jan.
2016 to Jan. 2017, he was a visiting student at
University of Waterloo. From Jun. 2018 to Sept.
2021, he was a Postdoc at Shanghai Jiao Tong
University. From Jan. 2019 to Jan. 2021, he was a
visiting Postdoc at The University of Texas at
Austin. He received the Best Paper Runner-up Award
of IEEE Transactions on Multimedia in 2021, the Best
Student Paper Award of IEEE International Conference
on Multimedia and Expo (ICME) in 2016, and the
excellent Ph.D. thesis award from the Chinese
Institute of Electronics (CIE) in 2020. His research
interests include image/video/audio quality
assessment, quality of experience, visual attention
modeling, extended reality, and multimodal signal
processing.