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Hyunho Ha

PhD Student

[e-mail]
[phone] +82-42-350-7864
[CV] Download here [link]

Hyunho Ha (하현호) is a PhD student in the Visual Computing Lab, KAIST and received his Master degree in Computer Science from KAIST in 2019. Prior to coming to the KAIST-VCLAB, he obtained his BS degree in Computer Science from KAIST. His research interests include various applications of computer graphics and vision, including real-time 4D scanning of dynamic objects.

 

Research Interests: Computer Graphics and Vision

 

  • Real-time 4D scanning of dynamic objects
  • Capturing geometry and appearance

 

 

 

Representative Publications

 

  • Hyun Jin Ku, Hyunho Ha, Joo Ho Lee, Dahyun Kang, James Tompkin, Min H. Kim (2021) “Differentiable Appearance Acquisition from a Flash/No-flash RGB-D Pair,” Proc. IEEE International Conference on Computational Photography (ICCP 2022), Caltech, Pasadena, August 1-3, 2022

  • 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

  • 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

  • Hyunho Ha, Seung-Hwan Baek, Giljoo Nam, Min H. Kim (2020), "Progressive Acquisition of SVBRDF and Shape in Motion," Computer Graphics Forum (CGF), presented at Eurographics 2021, Vienna, Austria, May 3–7, 2021

  • Joo Ho Lee, Hyunho Ha, Yue Dong, Xin Tong, Min H. Kim (2020) “TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning,” Proc. IEEE Computer Vision and Pattern Recognition (CVPR Oral 2020), Seattle, WA, USA, June 14–19, 2020

  • Hyeonjoong Jang, Hyunho Ha, Daniel S. Jeon, Min H. Kim (2019), “Fast Omnidirectional Depth Densification,” Proc. International Symposium on Visual Computing (ISVC 2019, Oral), Lake Tahoe, Nevada, USA, October 7--9, 2019

 

   

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