• 903 Citations
  • 13 h-Index

Research output per year

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Personal profile

Personal profile

Dr. Michael Ying Yang is currently Assistant Professor with University of Twente (the Netherlands), heading a group working on scene understanding. 

He received the PhD degree (summa cum laude) from University of Bonn (Germany) in 2011. From 2008 to 2012, he worked as Researcher with the Department of Photogrammetry, University of Bonn. From 2012 to 2015, he was a Postdoctoral Researcher with the Institute for Information Processing, Leibniz University Hannover. From 2015 to 2016, he was a Senior Researcher at TU Dresden.

His research interests are in the fields of computer vision and photogrammetry with specialization on scene understanding and semantic interpretation from imagery. He published over 80 articles in international journals and conference proceedings and currently co-supervise 4 PhD students. He serves as Associate Editor of ASPRS Photogrammetric Engineering & Remote Sensing, co-chair of ISPRS working group II/5 Dynamic Scene Analysis, and recipient of the ISPRS President's Honorary Citation (2016) and Best Science Paper Award at BMVC 2016. He is guest editor of 4 journal special issues. Since 2016, he is a Senior Member of IEEE. He is regularly serving as program committee member of conferences and reviewer for international journals.


Activities in education

Main educational responsibilities are teaching topics on image processing, 3D modeling and photogrammetry.

Research interests

Activities in research

His research is in the fields of Computer Vision and Photogrammetry with specialization on Deep Learning, Graphical Models, Scene Understanding, and Multi-Sensor Fusion.

Current supervision (co-promoter) of PhD students in ITC:

Zhenchao Zhang (funded by CSC)

Sophie Crommelinck (funded by EU H2020)

Ye Lv (funded by CSC)


  • QA75 Electronic computers. Computer science
  • computer vision
  • photogrammetry
  • image processing
  • Artificial intelligence
  • machine learning

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Research Output

A deep learning-based surface defect inspection system using multi-scale and channel-compressed features

Yang, J., Fu, G., Zhu, W., Cao, Y., Cao, Y. & Yang, M. Y., 13 Apr 2020, In : IEEE transactions on instrumentation and measurement. p. 1-11 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

  • Image Captioning through Image Transformer

    He, S., Liao, W., Tavakoli, H. R., Yang, M., Rosenhahn, B. & Pugeault, N., 29 Apr 2020, In : arXiv.org. p. 1-17 17 p.

    Research output: Contribution to journalArticleAcademic

  • Multi-channel residual network model for accurate estimation of spatially-varying and depth-dependent defocus kernels

    Cao, Y., Ye, Z., He, Z., Yang, J., Cao, Y., Tisse, C. & Yang, M. Y., 15 Jan 2020, In : Optics express. 28, 2, p. 2263-2275 13 p.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
  • 26 Downloads (Pure)

    Two-stream convolutional neural network for non-destructive subsurface defect detection via similarity comparison of lock-in thermography signals

    Cao, Y., Dong, Y., Cao, Y., Yang, J. & Yang, M. Y., Jun 2020, In : NDT and E International. 112, p. 1-9 9 p., 102246.

    Research output: Contribution to journalArticleAcademicpeer-review

  • UAVid: A semantic segmentation dataset for UAV imagery

    Lyu, Y., Vosselman, G., Xia, G. S., Yilmaz, A. & Yang, M. Y., Jul 2020, In : ISPRS journal of photogrammetry and remote sensing. 165, p. 108-119 12 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  • Prizes

    Senior Member of IEEE

    Michael Yang (Recipient), 2016

    Prize: Honorary award


    • 1 Editorial work

    Elsevier (Publisher)

    Michael Yang (Editor), Bodo Rosenhahn (Editor), Vittorio Murino (Editor)
    2 Aug 2019

    Activity: Publication peer-review and editorial workEditorial work