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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.

Teaching

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)

Keywords

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

Fingerprint Dive into the research topics where Michael Yang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 12 Similar Profiles
Semantics Engineering & Materials Science
segmentation Earth & Environmental Sciences
Photogrammetry Engineering & Materials Science
Computer vision Engineering & Materials Science
Classifiers Engineering & Materials Science
Labeling Engineering & Materials Science
Image classification Engineering & Materials Science
Facades Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2009 2019

1 Citation (Scopus)

Box-level segmentation supervised deep neural networks for accurate and real-time multispectral pedestrian detection

Cao, Y., Guan, D., Wu, Y., Yang, J., Cao, Y. & Yang, M. Y., Apr 2019, In : ISPRS journal of photogrammetry and remote sensing. 150, April, p. 70-79 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

pedestrian
segmentation
boxes
Infrared radiation
Anchors
6 Downloads (Pure)

Change detection between digital surface models from airborne laser scanning and dense image matching using convolutional neural networks

Zhang, Z., Vosselman, G., Gerke, M., Persello, C., Tuia, D. & Yang, M. Y., 29 May 2019, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019. Vosselman, G., Oude Elberink, S. J. & Wang, M. Y. (eds.). 2/W5 ed. Enschede: International Society for Photogrammetry and Remote Sensing (ISPRS), Vol. IV. p. 453-460 8 p. (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access
File
raster
laser
photogrammetry
data acquisition
detection

Exploring the Semantics for Visual Relationship Detection

Liao, W., Lan, C., Zeng, W., Yang, M. Y. & Rosenhahn, B., 3 Apr 2019, In : Arxiv.org. p. 1-13 13 p.

Research output: Contribution to journalArticleAcademic

Open Access
File
Semantics
Genes
Neural networks
Object detection
1 Downloads (Pure)

Fully convolutional networks for street furniture identification in panorama images

Ao, Y., Wang, J., Zhou, M., Lindenbergh, R. C. & Yang, M. Y., 4 Jun 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019. 2/W13 ed. International Society for Photogrammetry and Remote Sensing (ISPRS), Vol. 42. p. 13-20 8 p. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Semantics
Traffic signs
Virtual reality
Poles
Tuning

Semantic Façade Segmentation from Airborne Oblique Images

Lin, Y., Nex, F. C. & Yang, M. Y., 1 Jun 2019, In : Photogrammetric engineering and remote sensing : PE&RS. 85, 6, p. 425-433 9 p.

Research output: Contribution to journalArticleAcademicpeer-review

segmentation
Semantics
Facades
Antennas
Processing

Prizes

Senior Member of IEEE

Michael Yang (Recipient), 2016

Prize: Honorary award