profile picture

Minhyuk Sung

PhD Student
Computer Science
Stanford University

About Me

I am a Ph.D. student in Computer Science at Stanford University advised by Leonidas Guibas. My recent research focuses on deep-learning-based 3D shape analysis and modeling for graphics and vision applications. Previously, I was working as a researcher at Korea Institute of Science and Technology (KIST) and received MS and BS degrees in Computer Science at Korea Advanced Institute of Science and Technology (KAIST). I have interned at Google, Adobe Research, and Autodesk Research.


Publications

thumbnail
Supervised Fitting of Geometric Primitives to 3D Point Clouds
Lingxiao Li*, Minhyuk Sung*, Anastasia Dubrovina, Li Yi, and Leonidas Guibas (* equal contribution)
arXiv:1811.08988
arXiv | Code
thumbnail
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
Li Yi, Wang Zhao, He Wang, Minhyuk Sung, and Leonidas Guibas
arXiv:1812.03320
arXiv
thumbnail
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions
Minhyuk Sung, Hao Su, Ronald Yu, and Leonidas Guibas
NeurIPS 2018
arXiv | PDF | Poster | Code
thumbnail
Image Unprojection for 3D Surface Reconstruction: A Triangulation-based Approach
Minhyuk Sung, Hwasup Lim, Hyoung-Gon Kim, and Sang Chul Ahn
IEEE International Conference on Image Processing (ICIP) 2013
PDF
thumbnail
Finding the M-best consistent correspondences between 3D symmetric objects
Minhyuk Sung, and Junho Kim
Computers & Graphics, 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
Master’s thesis. Korea Advanced Institute of Science and Technology (KAIST).
Link