Seungeui Lee

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200px Seungeui Lee (이승의)

Ph. D. Candidate
서울대학교 융합과학부 박사과정 (2016.09 ~ )
KAIST 전기 및 전자공학과 석사졸업 (2009.02)
고려대학교 전파통신공학과 학사졸업 (2006.08)

Tel: +82-31-888-9579
Google Scholar

Research Interests

Radar: Radar Signal Processing, Phased Array Signal Processing
Deep Learning: Action Recognition, Semi-Supervised Learning, Segmentation, Generative Adversarial Networks


International Conferences

    Seqhand: Rgb-sequence-based 3d hand pose and shape estimation
    John Yang*, Hyung Jin Chang*, Seungeui Lee and Nojun Kwak
    ECCV 2020

    Self-Training using selection network for Semi-Supervised Learning
    Jisoo Jeong, Seungeui Lee and Nojun Kwak
    ICPRAM 2020

    Consistency-based Semi-supervised Learning for Object detection
    Jisoo Jeong*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak
    NeurIPS 2019

    Motion feature network: Fixed motion filter for action recognition
    Myunggi Lee*, Seungeui Lee*, Sungjoon Son, Gyutae Park and Nojun Kwak
    ECCV 2018

    Probabilistic track initiation algorithm using radar velocity information in heavy clutter environments
    Gyuejeong Lee, Seungeui Lee, Kwansung Kim and Nojun Kwak
    EuRAD 2018

    Human detection by deep neural networks recognizing micro-doppler signals of radar
    Jihoon Kwon, Seungeui Lee and Nojun Kwak
    EuRAD 2018

    Radar Application of Deep Neural Networks for Recognizing Micro-Doppler Radar Signals by Human Walking and Background Noise
    Jihoon Kwon, Seungeui Lee and Nojun Kwak
    International Symposium on Antenna and Propagation, 2018.

International Journal

    Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks
    Dongsuk Park, Seungeui Lee, SeongUk Park and Nojun Kwak
    MDPI Sensors, Jan. 2021


  • Charades Action Recognition Challenge (CVPR 2017 Workshop, 5th place)

Work Experience

  • Jan. 2009 ~ Present:
    Radar Software Engineer at Hanwha Systems Co., Ltd.