Avatar

Wooju Lee

Ph.D. Candidate

KAIST


CV | Google Scholar


I am a Ph.D. student advised by Professor Hyun Myung at KAIST.

My research interests lie in machine learning and computer vision, with particular focus on domain generalization. Domain generalization deals with a challenging problem that generalize the model without any access to unseen domains in the training process. My ultimate goal is generalizing deep neural networks for 2D RGB images, 3D point clouds, and SLAM. My previous published works span adversarial attacks and bio-inspired robust deep learning.

Contact

  • dnwn24 [at] kaist.ac.kr

  • E3-2, 3240, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141

Education

  • B.S in Mechanical Engineering, 2019

    Korea University, Korea

  • M.S in Robotics Program, 2021

    KAIST, Korea

Publications

  • Object-Aware Domain Generalization for Object Detection

    Wooju Lee, Dasol Hong, and Hyun Myung

    AAAI 2024 (Acceptance rate: 2342/12100 ≈ 23.75%)

    [ Paper / Code ]

  • Adversarial Attack for Asynchronous Event-based Data

    Wooju Lee and Hyun Myung

    AAAI 2022 (Acceptance rate: 1349/9020 ≈ 15%)

    [ Paper / Code ]

  • 이미지를 강인하게 인식하는 중심주변 조절 기반 뉴럴 네트워크

    Wooju Lee and Hyun Myung

    KRoC 2021

    [ Paper / Code ]

  • Domain Generalization with Vital Phase Augmentation

    Ingyun Lee, Wooju Lee, and Hyun Myung

    AAAI 2024

    [ Paper / Code ]

  • LC2: LiDAR-Camera Loop Constriants From 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 / Code ]

  • 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 / Code ]

Awards

  • AFCV (Asian Federation of Computer Vision) Best Paper Award, KRoC '21

Academic Activities

Reviewer