Minhyuk Sung

personal page

Research interests

3D deep learning, geometry processing, graphics, and vision.

Recent publications

(All the publications are available on the personal page linked above.)
Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri and Leonidas J. Guibas. Joint Learning of 3D Shape Retrieval and Deformation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021   
Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal and Leonidas J. Guibas, Deformation-Aware 3D Model Embedding and Retrieval, European Conference on Computer Vision (ECCV) 2020   
Lingxiao Li*, Minhyuk Sung*, Anastasia Dubrovina, Li Yi, and Leonidas Guibas, Supervised Fitting of Geometric Primitives to 3D Point Clouds, CVPR 2019 (Oral) (* equal contribution)   
L. Yi, W. Zhao, H. Wang, M. Sung, L. Guibas, GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019   
Minhyuk Sung, Hao Su, Ronald Yu, and Leonidas Guibas, Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions, NeurIPS 2018   
Minhyuk Sung, Anastasia Dubrovina, Vladimir G. Kim, and Leonidas Guibas, Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces, SGP 2018 (Symposium on Geometry Processing)   
Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, and Leonidas Guibas, ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling, SIGGRAPH Asia 2017.   
Minhyuk Sung, Vladimir G. Kim, Roland Angst, and Leonidas Guibas, Data-driven Structural Priors for Shape Completion, SIGGRAPH Asia 2015