Special Session 3 会议特别专题 3
Underwater Vision Processing
Description: Approximately 71% of the Earth's
surface is covered by water, and the absorption,
scattering, and attenuation of light in aquatic
environments pose significant challenges to
underwater vision tasks. Current challenges include
unclear imaging of underwater vision, difficulties
of target detection and tracking, and inaccuracies
of light-field reconstruction and depth estimation.
However, with remarkable advancements in artificial
intelligence, modern vision technologies—machine
learning and deep learning—offer innovative
solutions to these above problems. Research on
underwater image processing is crucial for
developing key technologies in maritime power
strategies. This special issue, titled "Underwater
Vision Processing", summarizes recently key
technologies and their applications, covering
underwater image restoration and enhancement,
underwater image quality assessment, underwater
object detection and tracking, underwater image
depth estimation, underwater light-field
reconstruction, underwater 3D scene reconstruction,
underwater imaging and compression, and related
methods on enhancing other harsh environments (such
as haze, dust, and low-light, etc.).
Session organizers
Assoc. Prof. Peixian Zhuang, University of Science
and Technology Beijing, China
Assoc. Prof. Weidong Zhang, Henan Institute of
Science and Technology, China
Dr. Zhenqi Fu, Tsinghua University, China
Dr. Jieyu Yuan, Nankai University, China
Dr. Zheng Liang, Anhui University, China
The topics of interest include, but are not limited to:
▪ Underwater Image Restoration and Enhancement
▪ Underwater Image Quality Evaluation
▪ Underwater Object Detection and Tracking
▪ Underwater Image Depth Estimation
▪ Underwater Light-Field Image Reconstruction
▪ Underwater 3D Scene Reconstruction
▪ Underwater Imaging and Compression
▪ Image enhancement in harsh environment (haze,
dust, and low-light, etc.)
Submission method
Submit your Full Paper (no less than 4 pages with two colums) or
your paper abstract-without publication (200-400
words) via
Online Submission System, then choose Special
Session 3 (Underwater Vision Processing)
Template Download
Introduction of
Session organizers
Assoc. Prof. Peixian Zhuang,
University of Science and Technology Beijing, China
Peixian Zhuang received the Ph.D. degree from Xiamen
University in 2016. From 2020 to 2022, He was a
Postdoctoral Researcher in Tsinghua University. He
is currently an Associate Professor at University of
Science and Technology Beijing. He is an IEEE Senior
Member, and his research interests involve
underwater image processing, and artificial
intelligence. He has published more than 60 papers
(10 ESI Highly Cited and 6 ESI Hot Papers) in
top-tier international journals and conferences,
including IEEE TIP, TCSVT, TCYB, TGRS, TMM, with
over 3700 Google citations. He also has authored 1
English book and 10 Chinese invention patents. In
recent years, he has presided over a number of
underwater vision processing projects, including
National Natural Science Foundation of China, China
Postdoctoral Science Foundation, and has
participated in National Key Research and
Development Program of China. He was entitled "Young
Scientist for Marine Power Nation", ScholarGPS
"World's Top 0.05% Scholars", "World's Top 2%
Scientists", "IFAC EAAI Best Paper Award", and
"Outstanding Doctoral Dissertation in Fujian
Province". Besides, he has served as Regional Chair
of ICIGP and Session Chair of IEEE ICSIP, Youth
Editorial Board Members of multiple journals, Guest
Editor of the Journal of Image & Graphics, Guest
Editor of the Journal of Electronics & Information
Technology, etc.
Assoc. Prof. Weidong Zhang,
Henan Institute of Science and Technology, China
Weidong Zhang received the Ph.D. degree from the
Dalian Maritime University in 2022. From 2022 to
2024, he is a Lecturer the School of Information
Engineering at Henan Institute of Science and
Technology. From 2024 to now, he is an Associate
Professor the School of Information Engineering at
Henan Institute of Science and Technology, and he is
also a Postdoctoral Fellow at Zhengzhou University.
His main research interests include underwater image
processing and understanding, remote sensing image
interpretation and analysis, and visual content
enhancement in an open environment, etc. He has
published more than 70 peer-reviewed papers in
prestigious international journals and conferences
(such as IEEE TIP, TMM, TGRS, TCSVT, AAAI), and he
also has been served as a Program Committee member
for AAAI-2024, AAAI-2025, and ICIGP-2025, and a
youth editorial board member of the Journal of Naval
Aviation University.
Dr. Zhenqi Fu,
Tsinghua University, China
Zhenqi Fu received the Ph.D. degree in Signal and
Information Processing from Xiamen University,
Xiamen, China, in 2023. From 2021 to 2022, he was a
Visiting Ph.D. Student at the School of Electrical &
Electronic Engineering, Nanyang Technological
University, Singapore. He is currently a
postdoctoral researcher in the Department of
Automation, Tsinghua University, Beijing, China. He
has published over 20 peer-reviewed SCI/EI-indexed
papers and has served as a reviewer for top-tier
journals and conferences, including IEEE TPAMI, IEEE
TIP, IJCV, ICLR, ICML, NeurIPS, CVPR, ICCV, ECCV,
etc. His current research interests include
Low-level Vision, Biomedical Imaging, and Deep
Learning.
Dr. Jieyu Yuan,
Nankai University, China
Jieyu Yuan received the Ph.D. degree in Computer
Technology and Application from School of Computer
Science and Engineering, Macau University of Science
and Technology, Taipa, Macau, China, in 2024. He is
currently a postdoctoral researcher with the VCIP,
College of Computer Science, Nankai University,
Tianjin, China. He has published over 10
peer-reviewed papers in SCI(E)-indexed journals. He
has serves as a reviewer for top-tier journals,
including TIP, IJCV, TMM, TCSVT, TGRS, TIM, EAAI and
JOE, and was one of the Outstanding Reviewers of
2024 in JOE. His research interests include Computer
Vision, 3D Vision, and Artificial Intelligence.
Dr. Zheng Liang,
Anhui University, China
Zheng Liang received the Ph.D. degree in
Computer Applied Technology from the School of
Information Science and Technology, Dalian Maritime
University, Dalian, China, in 2021. Now, he is a
Lecturer with the School of Internet, Anhui
University, Hefei, China. He has published over 20
peer-reviewed SCI/EI-indexed papers, and has served
as a reviewer for top-tier journals and conferences,
including IEEE TCSVT, IEEE TII, IEEE TCE, IEEE TIM,
OLT, OLE, AAAI, etc. His research interests include
Image Restoration, Object Detection, and Deep
Learning.