Giwon Lee

Hello! I am a first-year Ph.D. student in VILAB led by Prof. Kuk-Jin Yoon in the Department of Mechanical Engineering at KAIST. I work on Motion Planning and End-to-End Autonomous Driving. I aim to integrate planning and policy learning while enabling fast adaptation to diverse roads, weather, and traffic. Safety and Generalization are my core goals, and I benchmark methods rigorously in simulation and with real-world data.

I enjoy open discussions on research and practice, and I am always open to exchanging ideas on Motion Planning and End-to-End Autonomous Driving. Please feel free to get in touch by email or on LinkedIn.

news

Sep 18, 2025	“VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting,” has been accepted to NeurIPS 2025.

selected publications

VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting

Hoonhee Cho^*, Jae-Young Kang^*, Giwon Lee^*, Hyemin Yang^*, Heejun Park, Seokwoo Jung, and Kuk-Jin Yoon^†

Conference on Neural Information Processing Systems (NeurIPS), 2025
Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning

Giwon Lee^*, Wooseong Jeong^*, Daehee Park, Jaewoo Jeong, and Kuk-Jin Yoon^†

IEEE/CVF International Conference on Computer Vision (ICCV), 2025

⭐ Highlight ⭐
Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning

Giwon Lee^*, Daehee Park^*, Jaewoo Jeong^*, and Kuk-Jin Yoon^†

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
Multi-modal Knowledge Distillation-based Human Trajectory Forecasting

Jaewoo Jeong, Seohee Lee, Daehee Park, Giwon Lee, and Kuk-Jin Yoon^†

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025