Assoc Prof Dr. Peixian Zhuang | Image Processing | Best Researcher Award

Assoc Prof Dr. Peixian Zhuang | Image Processing | Best Researcher Award

Peixian Zhuang at University of Science and Technology Beijing, China

👨‍🎓 Profiles

Scopus

Google Scholar

Publications

CVANet: Cascaded visual attention network for single image super-resolution

  • Authors: Weidong Zhang, Wenyi Zhao, Jia Li, Peixian Zhuang, Haihan Sun, Yibo Xu, Chongyi Li
  • Journal: Neural Networks
  • Year: 2024

Underwater image enhancement via piecewise color correction and dual prior optimized contrast enhancement

  • Authors: Weidong Zhang, Songlin Jin, Peixian Zhuang, Zheng Liang, Chongyi Li
  • Journal: IEEE Signal Processing Letters
  • Year: 2023

Non-uniform illumination underwater image restoration via illumination channel sparsity prior

  • Authors: Guojia Hou, Nan Li, Peixian Zhuang, Kunqian Li, Haihan Sun, Chongyi Li
  • Journal: IEEE Transactions on Circuits and Systems for Video Technology
  • Year: 2023

Gacnet: Generate adversarial-driven cross-aware network for hyperspectral wheat variety identification

  • Authors: Weidong Zhang, Zexu Li, Guohou Li, Peixian Zhuang, Guojia Hou, Qiang Zhang, Chongyi Li
  • Journal: IEEE Transactions on Geoscience and Remote Sensing
  • Year: 2023

Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement

  • Authors: Weidong Zhang, Peixian Zhuang, Hai-Han Sun, Guohou Li, Sam Kwong, Chongyi Li
  • Journal: IEEE Transactions on Image Processing
  • Year: 2022

Dr. Yue Cao | Image Processing | Best Researcher Award

Dr. Yue Cao | Image Processing | Best Researcher Award

Doctorate at Harbin Institute of Technology, China

Profile

Google Scholar

📋 Summary

Yue Cao is a Ph.D. candidate at Harbin Institute of Technology, specializing in computational imaging. His work focuses on noise modeling and image enhancement in extreme low-light conditions, making significant strides in sensor technology and image processing.

Education

  • Ph.D., Computer Application Technology (Sep. 2020 – Present), Harbin Institute of Technology
  • M.S., Computer Software and Theory (Sep. 2017 – Aug. 2020), Shaanxi Normal University
  • B.S., Software Engineering (Sep. 2010 – Aug. 2014), Inner Mongolia University

💼 Internship Experience

  • Industry-Academia-Research Project Intern
    OPPO Research Institute, Shenzhen
    Feb. 2023 – Feb. 2024 (estimated)
    Engaged in noise modeling and parameter calibration of mobile phone sensors, as well as joint denoising, demosaicking, and super-resolution tasks in extremely low-light conditions related to smartphone sensor technology.

🏆 Selected Awards

  • 2020: Winner Award, NTIRE Real Image Denoising Challenge – rawRGB Track
  • 2020: 3rd Place Award, NTIRE Real Image Denoising Challenge – sRGB Track
  • 2014: Outstanding Graduate of Inner Mongolia Autonomous Region, P.R. China
  • 2012: Excellent Three Merit Student Award of Inner Mongolia Autonomous Region, P.R. China

🔬 Research Interests

Dr. Yue’s research interests include noise modeling, image denoising, demosaicking, super-resolution, and sensor technology, with a particular focus on improving imaging performance in challenging environments.

Publications

Physics-guided iso-dependent sensor noise modeling for extreme low-light photography

  • Authors: Yue Cao, Ming Liu, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo
  • Year: 2023

Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment

  • Authors: Yue Cao, Zhaolin Wan, Dongwei Ren, Zifei Yan, Wangmeng Zuo
  • Year: 2022

Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser

  • Authors: Yue Cao, Xiaohe Wu, Shuran Qi, Xiao Liu, Zhongqin Wu, Wangmeng Zuo
  • Year: 2021

Unpaired learning of deep image denoising

  • Authors: Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo
  • Year: 2020

Ntire 2020 challenge on real image denoising: Dataset, methods and results

  • Authors: Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S Brown
  • Year: 2020

Prof. Zhi Gao | Image Processing | Best Researcher Award

Prof. Zhi Gao, Image Processing, Best Researcher Award

Zhi Gao at Wuhan University, China

Professional Profile

Summary:

Zhi Gao is a highly accomplished Professor and Doctoral Supervisor at the School of Remote Sensing and Information Engineering, Wuhan University. He holds prestigious positions as the National Young Talent Program and Distinguished Professor of Hubei Province, China. With a solid background in engineering and extensive experience in academia and research, he has built strong collaborative networks with renowned universities and institutions worldwide.

👩‍🎓Education:

Zhi Gao received his Bachelor of Engineering (B.Eng.) and Doctor of Philosophy (Ph.D.) degrees from Wuhan University, China, in 2002 and 2007, respectively. His educational background provides him with a strong foundation in his field.

🧬 Work Experience:

Zhi Gao’s professional journey reflects a wealth of experience in both academia and industry. Highlights of his career include:

  • Research Fellow (A) and Project Manager at the Interactive and Digital Media Institute, National University of Singapore (NUS), Singapore, since 2008.
  • Research Scientist (A) at the Temasek Laboratories, NUS, contributing significantly to research endeavors.
  • Building strong collaborative relationships with prestigious institutions globally, including the Temasek Laboratory, National University of Singapore, Carnegie Mellon University Robotics Institute, Robert Gordon University, The Chinese University of Hong Kong, Beijing Normal University, and Beijing Institute of Technology.

Research Interests:

  • Computer Vision
  • Machine Learning
  • Remote Sensing
  • UAV-based Surveillance Research and Applications

Publications Top Noted:

Paper Title: Exploring the relationship between land use change patterns and variation in environmental factors within urban agglomeration
  • Authors: Xiao, R., Yin, H., Liu, R., Liu, L., Jia, T.
  • Journal: Sustainable Cities and Society
  • Volume: 108
  • Pages: 105447
  • Year: 2024
  • Citations: 0
Paper Title: Tracking by Detection: Robust Indoor RGB-D Odometry Leveraging Key Local Manhattan World
  • Authors: Zhou, Z., Gao, Z., Xu, J.
  • Journal: IEEE Robotics and Automation Letters
  • Volume: 9
  • Issue: 6
  • Pages: 4990–4997
  • Year: 2024
Paper Title: How Challenging is a Challenge? CEMS: a Challenge Evaluation Module for SLAM Visual Perception
  • Authors: Zhao, X., Gao, Z., Li, H., Fang, H., Chen, B.M.
  • Journal: Journal of Intelligent and Robotic Systems: Theory and Applications
  • Volume: 110
  • Issue: 1
  • Pages: 42
  • Year: 2024
  • Citations: 0
Paper Title: TJ-FlyingFish: An Unmanned Morphable Aerial–Aquatic Vehicle System
  • Authors: Liu, X., Dou, M., Yan, R., Chen, J., Chen, B.M.
  • Journal: Unmanned Systems
  • Volume: 12
  • Issue: 2
  • Pages: 409–428
  • Year: 2024
  • Citations: 1
Paper Title: WaterFormer: A Global-Local Transformer for Underwater Image Enhancement With Environment Adaptor
  • Authors: Wen, J., Cui, J., Yang, G., Dou, L., Chen, B.M.
  • Journal: IEEE Robotics and Automation Magazine
  • Volume: 31
  • Issue: 1
  • Pages: 29–40
  • Year: 2024
  • Citations: 1