Seungeui Lee
From MIPAL
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
- 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.