World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
6648
World Ranking
7674
National Ranking
310

Overview

Yee-Hong Yang is affiliated with the University of Alberta in Canada and has a substantial body of research primarily within the fields of Computer Science and Engineering. Their work spans over 100 publications with a strong focus on Computer Vision and Pattern Recognition, alongside contributions to Media Technology, Neurology, Radiology, Nuclear Medicine and Imaging, and Computer Graphics and Computer-Aided Design.

The scientist has contributed extensively to topics including:

  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Advanced Vision and Imaging
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications

Notable recent publications include:

  • "Automated Colorization of a Grayscale Image With Seed Points Propagation," 2020, IEEE Transactions on Multimedia
  • "A novel image-dehazing network with a parallel attention block," 2020, Pattern Recognition
  • "AVLSM: Adaptive Variational Level Set Model for Image Segmentation in the Presence of Severe Intensity Inhomogeneity and High Noise," 2021, IEEE Transactions on Image Processing
  • "Glass Segmentation With RGB-Thermal Image Pairs," 2023, IEEE Transactions on Image Processing
  • "MCCG: A ConvNeXt-Based Multiple-Classifier Method for Cross-View Geo-Localization," 2023, IEEE Transactions on Circuits and Systems for Video Technology

Frequent co-authors collaborating with Yee-Hong Yang include:

  • Shibai Yin
  • Rafsanjany Kushol
  • Sanjay Kalra
  • Yibin Wang
  • Alan H. Wilman

The scientist has a consistent publication record in several key venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Pattern Recognition
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology

The breadth of Yee-Hong Yang's research demonstrates engagement with advanced methodologies in image and signal processing, focusing on both theoretical and applied aspects of computer vision. Their contributions cover a range of technologies from image colorization, dehazing networks, and segmentation models to cross-view geo-localization using deep learning frameworks.

Best Publications

  • Multiresolution color image segmentation

    Jianqing Liu;Yee-Hong Yang

  • First Sight: A human body outline labeling system

    M.K. Leung;Yee-Hong Yang

  • The background primal sketch: an approach for tracking moving objects

    Yee-Hong Yang;Martin D. Levine

  • Near real-time reliable stereo matching using programmable graphics hardware

    Minglun Gong;Yee-Hong Yang

  • Stationary background generation: an alternative to the difference of two images

    W. Long;Yee-Hong Yang

  • Region-Tree Based Stereo Using Dynamic Programming Optimization

    Cheng Lei;J. Selzer;Yee-Hong Yang

  • Automated Colorization of a Grayscale Image With Seed Points Propagation

    Shaohua Wan;Yu Xia;Lianyong Qi;Yee-Hong Yang

  • Face recognition approach based on rank correlation of Gabor-filtered images

    Olugbenga Ayinde;Yee-Hong Yang

  • Theoretical analysis of illumination in PCA-based vision systems

    Li Zhao;Yee-Hong Yang

  • Multiresolution texture segmentation with application to diagnostic ultrasound images

    R. Muzzolini;Y.-H. Yang;R. Pierson

  • Object class detection: A survey

    Unknown

  • Human body motion segmentation in a complex scene

    Maylor K. Leung;Yee-Hong Yang

  • Dynamic two-strip algorithm in curve fitting

    M. K. Leung;Yee-Hong Yang

  • Multiple illuminant direction detection with application to image synthesis

    Y. Zhang;Y.-H. Yang

  • Fast stereo matching using reliability-based dynamic programming and consistency constraints

    Gong;Yee-Hong Yang

  • Optical flow estimation on coarse-to-fine region-trees using discrete optimization

    Cheng Lei;Yee-Hong Yang

  • A region based approach for human body motion analysis

    Maylor K. Leung;Yee-Hong Yang

  • Fast unambiguous stereo matching using reliability-based dynamic programming

    Minglun Gong;Yee-Hong Yang

  • Skeletonisation: An electrostatic field-based approach

    T. Grigorishin;G. Abdel-Hamid;Y. H. Yang

  • Tri-focal tensor-based multiple video synchronization with subframe optimization

    Cheng Lei;Yee-Hong Yang

  • Real-Time Stereo Matching Using Orthogonal Reliability-Based Dynamic Programming

    Minglun Gong;Yee-Hong Yang

Frequent Co-Authors

Minglun Gong
Minglun Gong University of Guelph
Yanning Zhang
Yanning Zhang Northwestern Polytechnical University
Mohamed Cheriet
Mohamed Cheriet École de Technologie Supérieure
Ruigang Yang
Ruigang Yang University of Kentucky
Mohammed Atiquzzaman
Mohammed Atiquzzaman University of Oklahoma
Cha Zhang
Cha Zhang Microsoft (United States)
Lianyong Qi
Lianyong Qi Qufu Normal University
Robert C. Welsh
Robert C. Welsh University of Utah
Simon J. Graham
Simon J. Graham University of Toronto
Martin D. Levine
Martin D. Levine McGill University

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