I am a Researcher at the Field Robotics Research Section, ETRI. I received my Ph.D. in Electrical Engineering from KAIST, advised by Professor Hyun Myung.

My research interests lie in vision-language navigation (VLN), geo-localization, and domain robustness. I conduct full-stack research on VLN, spanning photorealistic digital twins, synthetic data generation, vision-language-action models, and real-robot deployment. I also developed cross-view geo-localization and object detection models to improve localization accuracy under domain shifts. This research contributed to the deployment of autonomous vehicles and robotic systems in real-world environments.

Contact

  • dnwn24.etri [at] gmail.com

  • Field Robotics Research Section, ETRI, Daejeon, Republic of Korea

Education

  • B.S in Mechanical Engineering, 2019

    Korea University, Korea

  • M.S in Robotics Program, 2021

    KAIST, Korea

  • Ph.D in Electrical Engineering, 2025

    KAIST, Korea

    Advisor: Prof. Hyun Myung

Publications

  • NeuDonatello: Uncertainty-Aware Framework for Accurate Neural SDF Learning

    Alvin Jinsung Choi, Wanhee Kim, Taeyun Kim, Dasol Hong, Wooju Lee, and Hyun Myung

    BMVC 2026, Accepted

    [ Paper ]

  • VIRD: View-Invariant Representation through Dual-Axis Transformation for Cross-View Pose Estimation

    Juhye Park, Wooju Lee, Dasol Hong, Changki Sung, Youngwoo Seo, Dongwan Kang, and Hyun Myung

    CVPR 2026, Highlight

    [ Paper ]

  • PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers

    Wooju Lee, Juhye Park, Dasol Hong, Changki Sung, Youngwoo Seo, Dongwan Kang, and Hyun Myung

    CVPR 2025

    [ Paper / Code ]

  • CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization

    Dasol Hong, Wooju Lee, and Hyun Myung

    ICML 2025

    [ Paper ]

  • Object-Aware Domain Generalization for Object Detection

    Wooju Lee*, Dasol Hong*, Hyungtae Lim, and Hyun Myung

    AAAI 2024, Oral

    [ Paper / Code ]

  • Domain Generalization with Vital Phase Augmentation

    Ingyun Lee, Wooju Lee, and Hyun Myung

    AAAI 2024

    [ Paper / Code ]

  • Contextrast: Contextual Contrastive Learning for Semantic Segmentation

    Changki Sung, Wanhee Kim, Jungho An, Wooju Lee, Hyungtae Lim, Hyun Myung

    CVPR 2024

    [ Paper / Code ]

  • Adversarial Attack for Asynchronous Event-based Data

    Wooju Lee and Hyun Myung

    AAAI 2022

    [ Paper ]

  • Adaptive Coverage Path Planning Policy for a Cleaning Robot with Deep Reinforcement Learning

    DongKi Noh, Wooju Lee, Hyoung-Rock Kim, Il-Soo Cho, In-Bo Shim and SeungMin Baek

    ICCE 2022

    [ Paper ]

  • Sample-efficient and occlusion-robust reinforcement learning for robotic manipulation via multimodal fusion dualization and representation normalization

    Samyeul Noh, Wooju Lee, and Hyun Myung

    Neural Networks 2025

    [ Paper ]

  • LC2: LiDAR-Camera Loop Constraints for Cross-Modal Place Recognition

    Alex Junho Lee, Seungwon Song, Hyungtae Lim, Wooju Lee, and Hyun Myung

    RA-L 2023

    [ Paper / Code ]

  • X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments

    DongKi Noh, Changki Sung, Teayoung Uhm, Wooju Lee, Hyungtae Lim, Jaeseok Choi, Kyuewang Lee, Dasol Hong, ..., and Hyun Myung

    RA-L 2023

    [ Paper ]

Awards

  • ECCV 2026 VLNVerse EMR Challenge, 1st Place

    European Computer Vision Association (ECVA), Sep. 2026

  • Surround Modulation-Inspired Neural Network for Robust Image Classification

    Wooju Lee and Hyun Myung

    AFCV (Asian Federation of Computer Vision) Best Paper Award, KROC 2021

    [ Paper ]