Sanghyun Son

According to our database, Sanghyun Son authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MeshSplatting: Differentiable Rendering with Opaque Meshes.

Jan Held, Sanghyun Son, Renaud Vandeghen, Daniel Rebain, Matheus Gadelha, Yi Zhou, Anthony Cioppa, Ming C. Lin, Marc Van Droogenbroeck, Andrea Tagliasacchi

CoRR, December, 2025

Triangle Splatting+: Differentiable Rendering with Opaque Triangles.

Jan Held, Renaud Vandeghen, Sanghyun Son, Daniel Rebain, Matheus Gadelha, Yi Zhou, Ming C. Lin, Marc Van Droogenbroeck, Andrea Tagliasacchi

CoRR, September, 2025

Gradient-Based Trajectory Optimization with Parallelized Differentiable Traffic Simulation.

Sanghyun Son, Laura Zheng, Brian Clipp, Connor Greenwell, Sujin Philip, Ming C. Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Time-Aware World Model for Adaptive Prediction and Control.

Anh N. Nhu, Sanghyun Son, Ming Lin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

DMesh++: An Efficient Differentiable Mesh for Complex Shapes.

Sanghyun Son, Matheus Gadelha, Yang Zhou, Matthew Fisher, Zexiang Xu, Yi-Ling Qiao, Ming C. Lin, Yi Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

DMesh: A Differentiable Representation for General Meshes.

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

CoRR, 2024

DMesh: A Differentiable Mesh Representation.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic.

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

GeoLCR: Attention-based Geometric Loop Closure and Registration.

Jing Liang, Sanghyun Son, Ming C. Lin, Dinesh Manocha

CoRR, 2023

Gradient Informed Proximal Policy Optimization.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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, 2023

Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation.

Laura Zheng, Sanghyun Son, Ming C. Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Differentiable Hybrid Traffic Simulation.

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

ACM Trans. Graph., 2022

WGICP: Differentiable Weighted GICP-Based Lidar Odometry.

Sanghyun Son, Jing Liang, Ming C. Lin, Dinesh Manocha

CoRR, 2022

2021

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

Sanghyun Son, Myung-Soo Kim, Gershon Elber

Comput. Aided Geom. Des., 2021

2020

Parameter Sharing For Heterogeneous Agents in Multi-Agent Reinforcement Learning.

J. K. Terry, Nathaniel Grammel, Sanghyun Son, Benjamin Black

CoRR, 2020

Efficient Minimum Distance Computation for Solids of Revolution.

Sanghyun Son, Seung-Hyun Yoon, Myung-Soo Kim, Gershon Elber

Comput. Graph. Forum, 2020

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

Comput. Aided Des., 2020