Dr.-Ing. Tak Ming Wong

Dr.-Ing. Tak Ming Wong

he/him

Research Scientist, Software and Hardware Engineer, Enthusiast in Machine Learning and Computer Vision

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Advanced signal processing techniques for THz imaging and sensing enhancement in material quality control applications

Published in SPIE OPTO, 2019

Daniel Stock, Matthias Kahl, Anna K. Wigger, Tak Ming Wong, Andreas Kolb, Peter Haring Bolívar

Recommended citation: Stock, Daniel, Matthias Kahl, Anna K. Wigger, Tak Ming Wong, Andreas Kolb, and Peter Haring Bolívar. "Advanced signal processing techniques for THz imaging and sensing enhancement in material quality control applications." In Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XII, vol. 10917, pp. 127-133. SPIE, 2019. https://doi.org/10.1117/12.2515642

Computational Image Enhancement for Frequency Modulated Continuous Wave (FMCW) THz Image

Published in Journal of Infrared, Millimeter, and Terahertz Waves, 2019

Tak Ming Wong, Matthias Kahl, Peter Haring Bolívar, Andreas Kolb

Recommended citation: Wong, Tak Ming, Matthias Kahl, Peter Haring Bolívar, and Andreas Kolb. "Computational image enhancement for frequency modulated continuous wave (FMCW) THz image." Journal of Infrared, Millimeter, and Terahertz Waves 40 (2019): 775-800. https://link.springer.com/article/10.1007/s10762-019-00609-w

Training Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction

Published in German Conference on Pattern Recognition (GCPR), 2019

Tak Ming Wong, Matthias Kahl, Peter Haring-Bolívar, Andreas Kolb, Michael Möller

Recommended citation: Wong, Tak Ming, Matthias Kahl, Peter Haring-Bolívar, Andreas Kolb, and Michael Möller. "Training auto-encoder-based optimizers for terahertz image reconstruction." In German Conference on Pattern Recognition, pp. 93-106. Cham: Springer International Publishing, 2019. https://link.springer.com/chapter/10.1007/978-3-030-33676-9_7

Deep Optimization Prior for THz Model Parameter Estimation

Published in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022

Tak Ming Wong, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolívar, Michael Möller, Andreas Kolb

Recommended citation: Wong, Tak Ming, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolívar, Michael Möller, and Andreas Kolb. "Deep optimization prior for thz model parameter estimation." In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 3811-3820. 2022. http://dx.doi.org/10.1109/WACV51458.2022.00410

Deep Neural Network as an Optimizer for FMCW THz Image Deblurring

Published in ATHENA Research Book, 2022

Tak Ming Wong, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolívar, Michael Möller, Andreas Kolb

Recommended citation: Wong, Tak Ming, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolıvar, Michael Möller, and Andreas Kolb. "Deep Neural Network as an Optimizer for FMCW THz Image Deblurring." ATHENA Research Book, Volume (2022): 13. https://press.um.si/index.php/ump/catalog/view/735/1018/2679

talks

teaching