Giwon Lee

KAIST VILAB. 1st Year Ph.D. student

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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. My research spans the full spectrum of planning — from high-level reasoning to low-level control — with the long-term goal of building a single, coherent framework that can be entrusted to act fully autonomously, end to end.

I think of this stack in three layers. At the high level, Agentic AI handles reasoning, decision-making, and long-horizon planning. As the bridge, Vision-Language-Action (VLA) and Vision-Language Navigation (VLN) models ground language and perception into embodied action. At the low level, Motion Planning and End-to-End Autonomous Driving turn intent into safe, executable behavior. My earlier research centered on this low level, primarily in autonomous driving; my current work moves up the stack to the high and bridge levels — these days on Agentic AI, VLA, and VLN — building toward connecting all three into one autonomous whole.

I am also eager to gain hands-on industry experience through internships, and I would be grateful to hear about any relevant opportunities. Please feel free to get in touch by email or on LinkedIn.

News

Sep 25, 2026 “HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models” has been accepted to IEEE Robotics and Automation Letters (RA-L).
Sep 25, 2026 Two papers, “Triggering Generalist Reasoning via Predictive Uncertainty for Dual-System VLA” and “SRA: Spatial Reasoning Adapter via Evolving Social Interaction Graphs for Trajectory Prediction,” have been accepted to NeurIPS 2026.
Jun 18, 2026 Two papers, “Unified Prediction and Planning via Conflict-Aware Disjoint Parameter Training” and “VIPS: Vehicle-Infrastructure Cooperative Planning Benchmark via Pseudo-Simulation,” have been accepted to ECCV 2026. VIPS has been selected as a Spotlight presentation.
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

  1. Archieve_HEAT.jpg
    HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models
    Hoonhee Cho*, Giwon Lee*, Jae-Young Kang*, Hyemin Yang*, Heejun Park*, and Kuk-Jin Yoon†
    IEEE Robotics and Automation Letters (RA-L), 2026
  2. NeurIPS2026_TUD.png
    Triggering Generalist Reasoning via Predictive Uncertainty for Dual-System VLA
    Hyemin Yang*, Wooseong Jeong*, Giwon Lee*, and Kuk-Jin Yoon†
    Conference on Neural Information Processing Systems (NeurIPS), 2026
  3. NeurIPS2026_SRA.png
    SRA: Spatial Reasoning Adapter via Evolving Social Interaction Graphs for Trajectory Prediction
    Jaewoo Jeong*, Seonkyu Song*, Hyeonwoo Park, Yujin Bae, Jegyeong Cho, Giwon Lee, Daehee Park, and Kuk-Jin Yoon†
    Conference on Neural Information Processing Systems (NeurIPS), 2026
  4. ECCV2026_DPT.jpg
    Unified Prediction and Planning via Conflict-Aware Disjoint Parameter Training
    Taewon Seo*, Seonae Jeon*, Giwon Lee*, Kuk-Jin Yoon†, and Daehee Park†
    European Conference on Computer Vision (ECCV), 2026
  5. ECCV2026_VIPS.png
    VIPS: Vehicle-Infrastructure Cooperative Planning Benchmark via Pseudo-Simulation
    Hoonhee Cho*, Jae-Young Kang*, Giwon Lee*, Hyemin Yang*, Heejun Park*, and Kuk-Jin Yoon†
    European Conference on Computer Vision (ECCV), 2026
    ⭐ Spotlight ⭐
  6. NeurIPS2025.png
    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
  7. ICCV2025.png
    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 ⭐
  8. IROS2025.png
    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
  9. CVPR2025.png
    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

Academic Service

  • Conference Reviewer: NeurIPS 2026
  • Journal Reviewer: IEEE Transactions on Intelligent Vehicles (T-IV)