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Hyunho Ha
PhD Student
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[e-mail]
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[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.
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Research Interests: Computer Graphics and Vision
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- Real-time 4D scanning of dynamic objects
- Capturing geometry and appearance
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Representative Publications
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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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© Visual Computing Laboratory, School of Computing, KAIST.
All rights reserved.
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