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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

 

  • Hyeonjoong Jang, Andréas Meuleman, Dahyun Kang, Donggun Kim, Christian Richardt, Min H. Kim (2022), “Egocentric Scene Reconstruction From an Omnidirectional Video,” ACM Transactions on Graphics (TOG), presented at SIGGRAPH 2022, 41(4)
  • 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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