Difference between revisions of "Seungeui Lee"

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:Tel: +82-31-888-9579 <br>
 
:Tel: +82-31-888-9579 <br>
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:e-mail: [mailto:seungeui.lee@snu.ac.kr seungeui.lee@snu.ac.kr] <br>
 
:e-mail: [mailto:david.seungeui.lee@gmail.com david.seungeui.lee@gmail.com] <br>
 
:e-mail: [mailto:david.seungeui.lee@gmail.com david.seungeui.lee@gmail.com] <br>
 
:[https://scholar.google.com/citations?user=aqbVhdkAAAAJ&hl=en Google Scholar] <br>
 
:[https://scholar.google.com/citations?user=aqbVhdkAAAAJ&hl=en Google Scholar] <br>
 
  
 
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== '''Research Interests''' ==
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<b>Radar</b>: Radar Signal Processing, Phased Array Signal Processing <br>
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<b>Deep Learning</b>: Action Recognition, Semi-Supervised Learning, Segmentation, Generative Adversarial Networks <br><br>
  
 
== '''Publications''' ==
 
== '''Publications''' ==
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<ul>
 
<ul>
 
:'''Self-Training using selection network for Semi-Supervised Learning''' <br>
 
:'''Self-Training using selection network for Semi-Supervised Learning''' <br>
:Jisoo Jeong*, '''Seungeui Lee'''* and Nojun Kwak <br>
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:Jisoo Jeong, '''Seungeui Lee''' and Nojun Kwak <br>
 
:ICPRAM 2020
 
:ICPRAM 2020
 
</ul>
 
</ul>
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</ul>
 
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<br>
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<ul>
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:'''Radar Application of Deep Neural Networks for Recognizing Micro-Doppler Radar Signals by Human Walking and Background Noise''' <br>
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:Jihoon Kwon, '''Seungeui Lee''' and Nojun Kwak <br>
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:International Symposium on Antenna and Propagation, 2018.
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</ul>
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<br>
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:<font size = 4>'''International Journal ''' </font><br>
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<br>
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<ul>
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:'''Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks''' <br>
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:Dongsuk Park, '''Seungeui Lee''', SeongUk Park and Nojun Kwak <br>
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:MDPI Sensors, Jan. 2021
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</ul>
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<br>
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== '''Competition''' ==
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<ul>
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<li>
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Charades Action Recognition Challenge (CVPR 2017 Workshop, 5th place)
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</li>
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</ul>
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<br>
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== '''Work Experience''' ==
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<ul>
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<li>
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Jan. 2009 ~ Present:
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:Radar Software Engineer at Hanwha Systems Co., Ltd.
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</li>
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</ul>
 
<br>
 
<br>

Latest revision as of 16:26, 9 August 2021

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
e-mail: seungeui.lee@snu.ac.kr
e-mail: david.seungeui.lee@gmail.com
Google Scholar

Research Interests

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

Publications

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


Competition

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


Work Experience

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