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Research Statement
3D deep learning, geometry processing, graphics, and vision.
Recent Publications
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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
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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
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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)
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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
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Minhyuk Sung, Hao Su, Ronald Yu, and Leonidas Guibas, Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions, NeurIPS 2018
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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)
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Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, and Leonidas Guibas, ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling, SIGGRAPH Asia 2017.
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Minhyuk Sung, Vladimir G. Kim, Roland Angst, and Leonidas Guibas, Data-driven Structural Priors for Shape Completion, SIGGRAPH Asia 2015
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