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Andreas Meuleman

PhD Student

[e-mail]
[phone] +82-42-350-7864
[website] https://ameuleman.github.io/

Andreas Meuleman is a PhD student in the Visual Computing Lab, KAIST. Prior to coming to the KAIST-VCLAB, he received his Master degree in Applied Mathematics and Computer Science from INSA Rouen - Normandie, France in 2019. He also participated in a one year exchange program at KAIST School of Computing with intership at KAIST VCLAB. His research interests include various applications of computer graphics and vision.

 

Research Interests: Computer Graphics and Vision

 

  • Computational Imaging
  • Computational Photography
  • Physically-based Rendering

 

 

 

Representative Publications

 

  • Mustafa B. Yaldiz, Andreas Meuleman, Hyeonjoong Jang, Hyunho Ha, Min H. Kim (2021), “DeepFormableTag: End-to-end Generation and Recognition of Deformable Fiducial Markers,” ACM Transactions on Graphics (TOG), presented at SIGGRAPH 2021, 40(4), Aug. 9 - Aug. 13, 2021

  • Andreas Meuleman, Hyeonjoong Jang, Daniel S. Jeon, Min H. Kim (2021) “Real-Time Sphere Sweeping Stereo from Multiview Fisheye Images,” Proc. IEEE Computer Vision and Pattern Recognition (CVPR Oral), Nashville, Tennessee, USA, June 19–25, 2021

  • Hakyeong Kim, Andreas Meuleman, Daniel S. Jeon, Min H. Kim (2021) “High-Quality Stereo Image Restoration from Double Refraction,” Proc. IEEE Computer Vision and Pattern Recognition (CVPR), Nashville, Tennessee, USA, June 19–25, 2021

  • Hyunho Ha, Joo Ho Lee, Andreas Meuleman, Min H. Kim (2021) “NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning,” Proc. IEEE Computer Vision and Pattern Recognition (CVPR), Nashville, Tennessee, USA, June 19–25, 2021

  • Andreas Meuleman, Seung-Hwan Baek, Felix Heide, Min H. Kim (2020) “Single-shot Monocular RGB-D Imaging using Uneven Double Refraction,” Proc. IEEE Computer Vision and Pattern Recognition (CVPR Oral 2020), Seattle, WA, USA, June 14–19, 2020

 

   

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