Sanghyun Son

24 papers A* 5A 2Journal 17
YearRankTypeTitle / Venue / Authors
2025 A* conf
Gradient-Based Trajectory Optimization with Parallelized Differentiable Traffic Simulation.
ICRA
Sanghyun Son, Laura Zheng, Brian Clipp, Connor Greenwell, Sujin Philip, Ming C. Lin
2025 J jnl
MeshSplatting: Differentiable Rendering with Opaque Meshes.
CoRR
Jan Held, Sanghyun Son, Renaud Vandeghen, Daniel Rebain, Matheus Gadelha, Yi Zhou, Anthony Cioppa, Ming C. Lin, Marc Van Droogenbroeck, Andrea Tagliasacchi
2025 A* conf
Time-Aware World Model for Adaptive Prediction and Control.
ICML
Anh N. Nhu, Sanghyun Son, Ming Lin
2025 J jnl
Time-Aware World Model for Adaptive Prediction and Control.
CoRR
Anh N. Nhu, Sanghyun Son, Ming C. Lin
2025 J jnl
Triangle Splatting+: Differentiable Rendering with Opaque Triangles.
CoRR
Jan Held, Renaud Vandeghen, Sanghyun Son, Daniel Rebain, Matheus Gadelha, Yi Zhou, Ming C. Lin, Marc Van Droogenbroeck, Andrea Tagliasacchi
2024 J jnl
DMesh++: An Efficient Differentiable Mesh for Complex Shapes.
CoRR
Sanghyun Son, Matheus Gadelha, Yang Zhou, Matthew Fisher, Zexiang Xu, Yi-Ling Qiao, Ming C. Lin, Yi Zhou
2024 A* conf
DMesh: A Differentiable Mesh Representation.
NeurIPS
Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou
2024 J jnl
DMesh: A Differentiable Representation for General Meshes.
CoRR
Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou
2024 A conf
Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic.
IROS
Laura Zheng, Sanghyun Son, Jing Liang, Xijun Wang, Brian Clipp, Ming C. Lin
2024 J jnl
Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic.
CoRR
Laura Zheng, Sanghyun Son, Jing Liang, Xijun Wang, Brian Clipp, Ming C. Lin
2024 J jnl
Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation.
CoRR
Sanghyun Son, Laura Zheng, Brian Clipp, Connor Greenwell, Sujin Philip, Ming C. Lin
2023 J jnl
GeoLCR: Attention-based Geometric Loop Closure and Registration.
CoRR
Jing Liang, Sanghyun Son, Ming C. Lin, Dinesh Manocha
2023 A* conf
Gradient Informed Proximal Policy Optimization.
NeurIPS
Sanghyun Son, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming C. Lin
2023 J jnl
Gradient Informed Proximal Policy Optimization.
CoRR
Sanghyun Son, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming C. Lin
2023 A* conf
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation.
ICRA
Laura Zheng, Sanghyun Son, Ming C. Lin
2023 A conf
Visual, Spatial, Geometric-Preserved Place Recognition for Cross-View and Cross-Modal Collaborative Perception.
IROS
Peng Gao, Jing Liang, Yu Shen, Sanghyun Son, Ming C. Lin
2022 J jnl
Differentiable Hybrid Traffic Simulation.
CoRR
Sanghyun Son, Yi-Ling Qiao, Jason Sewall, Ming C. Lin
2022 J jnl
Differentiable Hybrid Traffic Simulation.
ACM Trans. Graph.
Sanghyun Son, Yi-Ling Qiao, Jason Sewall, Ming C. Lin
2022 J jnl
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation.
CoRR
Laura Zheng, Sanghyun Son, Ming C. Lin
2022 J jnl
WGICP: Differentiable Weighted GICP-Based Lidar Odometry.
CoRR
Sanghyun Son, Jing Liang, Ming C. Lin, Dinesh Manocha
2021 J jnl
Precise Hausdorff distance computation for freeform surfaces based on computations with osculating toroidal patches.
Comput. Aided Geom. Des.
Sanghyun Son, Myung-Soo Kim, Gershon Elber
2020 J jnl
Efficient Minimum Distance Computation for Solids of Revolution.
Comput. Graph. Forum
Sanghyun Son, Seung-Hyun Yoon, Myung-Soo Kim, Gershon Elber
2020 J jnl
Parameter Sharing For Heterogeneous Agents in Multi-Agent Reinforcement Learning.
CoRR
J. K. Terry, Nathaniel Grammel, Sanghyun Son, Benjamin Black
2020 J jnl
Surface-Surface-Intersection Computation Using a Bounding Volume Hierarchy with Osculating Toroidal Patches in the Leaf Nodes.
Comput. Aided Des.
Youngjin Park, Sanghyun Son, Myung-Soo Kim, Gershon Elber