profile picture

Minhyuk Sung

Assistant Professor
School of Computing
KAIST

About Me

I am an assistant professor in the School of Computing at KAIST. 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

thumbnail
Learning and Exploring the Compositional Structure of 3D Data
Minhyuk Sung
Dissertation. Stanford University. 2019.
Link
thumbnail
Image Unprojection for 3D Surface Reconstruction: A Triangulation-based Approach
Min-Hyuk Sung, Hwasup Lim, Hyoung-Gon Kim, and Sang Chul Ahn
IEEE International Conference on Image Processing (ICIP) 2013
Link
thumbnail
A Triangulation-Invariant Method for Anisotropic Geodesic Map Computation on Surface Meshes
Sang Wook Yoo, Joon-Kyung Seong, Min-Hyuk Sung, Sung Yong Shin, and Elaine Cohen
IEEE Transactions on Visualization and Computer Graphics (TVCG). 2012
Link
thumbnail
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