World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6497
World Ranking
8903
National Ranking
273

Overview

Changming Sun is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia, contributing extensively to the fields of computer science and engineering. Their research primarily focuses on computer vision and pattern recognition, with additional work in artificial intelligence, aerospace engineering, media technology, and molecular biology.

Sun's work covers a range of topics within advanced image and video retrieval techniques, neural network applications, robotics and sensor-based localization, AI in cancer detection, domain adaptation and few-shot learning, as well as advanced vision and image processing techniques.

Frequent publication venues for Sun include:

  • arXiv (Cornell University)
  • Pattern Recognition
  • Expert Systems with Applications
  • SSRN Electronic Journal
  • IEEE Transactions on Image Processing

Among the coauthors frequently collaborating with Sun are:

  • Weichuan Zhang
  • Ran Su
  • Leyi Wei
  • Arcot Sowmya
  • Qiangguo Jin

Selected recent publications provide insight into Sun's research directions and areas of expertise:

  • RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans, 2020, Frontiers in Bioengineering and Biotechnology
  • Recent advances on image edge detection: A comprehensive review, 2022, Neurocomputing
  • Cascade knowledge diffusion network for skin lesion diagnosis and segmentation, 2020, Applied Soft Computing
  • Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images, 2021, Expert Systems with Applications
  • Free-form tumor synthesis in computed tomography images via richer generative adversarial network, 2021, Knowledge-Based Systems

These works demonstrate a notable engagement with medical imaging, neural networks, and domain adaptation models applied to practical diagnostic problems. The research also intersects with advanced learning methodologies in medical contexts, such as cancer detection and COVID-19 infection segmentation.

Best Publications

  • RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans

    Qiangguo Jin;Zhaopeng Meng;Changming Sun;Leyi Wei

  • Crowdsourcing the creation of image segmentation algorithms for connectomics

    Ignacio Arganda-Carreras;Srinivas C. Turaga;Daniel R. Berger;Dan Cireşan

  • Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques

    Changming Sun

  • 3D symmetry detection using the extended Gaussian image

    Changming Sun;J. Sherrah

  • Splitting touching cells based on concave points and ellipse fitting

    Xiangzhi Bai;Changming Sun;Fugen Zhou

  • An End-to-End TextSpotter with Explicit Alignment and Attention

    Tong He;Zhi Tian;Weilin Huang;Chunhua Shen

  • Knowledge Adaptation for Efficient Semantic Segmentation

    Tong He;Chunhua Shen;Zhi Tian;Dong Gong

  • Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge

    Sylvia Rueda;Sana Fathima;Caroline L. Knight;Mohammad Yaqub

  • Knowledge-based method for segmentation and analysis of lung boundaries in chest X-ray images

    Matthew S. Brown;Laurence S. Wilson;Bruce D. Doust;Robert W. Gill

  • A Fast Stereo Matching Method

    Changming Sun

  • Fast linear feature detection using multiple directional non-maximum suppression.

    C. Sun;P. Vallotton

  • Skew and slant correction for document images using gradient direction

    Changming Sun;Deyi Si

  • Circular shortest path in images

    Changming Sun;Stefano Pallottino

  • Cascade knowledge diffusion network for skin lesion diagnosis and segmentation

    Qiangguo Jin;Qiangguo Jin;Hui Cui;Changming Sun;Zhaopeng Meng;Zhaopeng Meng

  • Symmetry detection using gradient information

    Changming Sun

  • Automated analysis of neurite branching in cultured cortical neurons using HCA-Vision.

    Pascal Vallotton;Ryan Lagerstrom;Changming Sun;Michael Buckley

  • RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans

    Qiangguo Jin;Qiangguo Jin;Zhaopeng Meng;Zhaopeng Meng;Changming Sun;Hui Cui

  • Fast Reflectional Symmetry Detection Using Orientation Histograms

    C. Sun;D. Si

  • Fast optical flow using 3D shortest path techniques

    Changming Sun

  • Iterative infrared ship target segmentation based on multiple features

    Zhaoying Liu;Zhaoying Liu;Fugen Zhou;Xiaowu Chen;Xiangzhi Bai

  • Digital Image Computing: Techniques and Applications

    Changming Sun;Hugues Talbot;Sebastien Ourselin;Tony Adriaansen

Frequent Co-Authors

Tuan D. Pham
Tuan D. Pham Queen Mary University of London
Ran Su
Ran Su Tianjin University
Michael Blumenstein
Michael Blumenstein University of Technology Sydney
Chunhua Shen
Chunhua Shen Zhejiang University
Robert T. Furbank
Robert T. Furbank Australian National University
Michael Buckley
Michael Buckley University of Manchester
Leyi Wei
Leyi Wei Shandong University
David E. James
David E. James University of Sydney
Xiaobo Zhou
Xiaobo Zhou The University of Texas Health Science Center at Houston
Michael Fenech
Michael Fenech University of South Australia

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