Difference between revisions of "Seungeui Lee"
From MIPAL
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− | | <font size = 5> '''[[Seungeui | + | | <font size = 5> '''[[Seungeui Lee]] (이승의)'''</font><br><br> |
:'''Ph. D. Candidate'''<br> | :'''Ph. D. Candidate'''<br> | ||
: 서울대학교 융합과학부 박사과정 (2016.09 ~ ) <br> | : 서울대학교 융합과학부 박사과정 (2016.09 ~ ) <br> |
Revision as of 16:00, 25 July 2021
200px | Seungeui Lee (이승의)
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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
Competition
- Charades Action Recognition Challenge (CVPR 2017 Workshop, 5th place)
Work Experience
-
Jan. 2009 ~ Present:
- Radar Software Engineer at Hanwha Systems Co., Ltd.