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Minhyuk Sung

Assistant Professor
School of Computing
KAIST

About Me

I am an assistant professor in the School of Computing at KAIST (also affiliated with the Graduate School of AI). Before joining KAIST, I was a research scientist at Adobe Research. I received my Ph.D. from Stanford University, advised by Leonidas Guibas, and received M.S. and B.S. degrees from KAIST. My research focuses on 3D deep learning and geometry processing.

I am looking for new graduate students to join my group. Please reach out to me via email if you are interested in.

CV   |   Google Scholar   |   GitHub
Research Statement (Presented at SIGGRAPH 2019 Doctoral Consortium)

Publications

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CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds
Eric-Tuan Lê, Minhyuk Sung, Duygu Ceylan, Radomír Měch, Tamy Boubekeur, Niloy Mitra
ICCV 2021
arXiv | Code
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CTRL-C: Camera calibration TRansformer with Line-Classification
Jinwoo Lee, Hyunsung Go, Hyunjoon Lee, Sunghyun Cho, Minhyuk Sung, Junho Kim
ICCV 2021
arXiv | Code
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Learning and Exploring the Compositional Structure of 3D Data
Minhyuk Sung
Dissertation. Stanford University. 2019.
Link
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Image Unprojection for 3D Surface Reconstruction: A Triangulation-based Approach
Min-Hyuk Sung, Hwasup Lim, Hyoung-Gon Kim, Sang Chul Ahn
IEEE International Conference on Image Processing (ICIP) 2013
Link
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A Triangulation-Invariant Method for Anisotropic Geodesic Map Computation on Surface Meshes
Sang Wook Yoo, Joon-Kyung Seong, Min-Hyuk Sung, Sung Yong Shin, Elaine Cohen
IEEE Transactions on Visualization and Computer Graphics (TVCG). 2012
Link
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A Spectral Approach to Shape Matching Using a Heat Kernel Function
Min-Hyuk Sung
M.S. Thesis. Korea Advanced Institute of Science and Technology (KAIST). 2010.
Link

Courses