Sanghyun Son

CS PhD @ UMD

Hi, I'm Sanghyun.


I am a 4th year CS PhD student at University of Maryland. I am advised by professor Ming C. Lin at GAMMA Lab, and my research interest mainly lies in the intersection between geometry, physics, and reinforcement learning. In the last two summers, I spent wonderful time at Adobe Research, working on projects about differentiable mesh. Currently, I'm working on extending this differentiable mesh to solve various problems related to geometry, such as 3D reconstruction or generative models :)

Contact


Sanghyun Son

E-mail: [email protected]


Publications



DMesh: A Differentiable Representation for General Meshes


Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C Lin, Yi Zhou

Accepted to NeurIPS 2024




Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic


Laura Zheng, Sanghyun Son, Jing Liang, Xijun Wang, Brian Clipp, Ming C Lin

Accepted to IROS 2024




Visual, Spatial, Geometric-Preserved Place Recognition for Cross-View and Cross-Modal Collaborative Perception


Peng Gao, Jing Liang, Yu Shen, Sanghyun Son, Ming C Lin

IROS (Best Paper Award), 2023




Gradient Informed Proximal Policy Optimization


Sanghyun Son, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming Lin

NeurIPS, 2023




Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation


Laura Zheng, Sanghyun Son, Ming C Lin

ICRA, 2023




Differentiable Hybrid Traffic Simulation


Sanghyun Son, Yi-Ling Qiao, Jason Sewall, Ming C Lin

SIGGRAPH Asia, ACM Transactions on Graphics (TOG), 2022




Precise Hausdorff distance computation for freeform surfaces based on computations with osculating toroidal patches


Sanghyun Son, Myung-Soo Kim, Gershon Elber

Computer Aided Geometric Design, 2021




Surface--surface-intersection computation using a bounding volume hierarchy with osculating toroidal patches in the leaf nodes


Youngjin Park, Sanghyun Son, Myung-Soo Kim, Gershon Elber

Computer-Aided Design, 2020




Efficient minimum distance computation for solids of revolution


Sanghyun Son, Seunghyun Yoon, Myung-Soo Kim, Gershon Elber

Eurographics (Computer Graphics Forum), 2020




Revisiting parameter sharing in multi-agent deep reinforcement learning


Justin K Terry, Nathaniel Grammel, Sanghyun Son, Benjamin Black, Aakriti Agrawal

arXiv preprint arXiv:2005.13625, 2020

Before joining UMD...

I have done my undergrad and Master's degree at the Seoul National University in Korea. In those years, I was advised by professor Myung-Soo Kim, and mainly worked on geometric algorithms that can be used for distance and collision queries between parametric freeform surfaces.
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