Jaemin Lee
[ j911.public@gmail.com | Scholar | Github | ORCID | Linked In | CV ]
Deep Learning Researcher in Testworks Inc. - Technical Research Personnel (military service)
Advised by Prof. Dong-Geol Choi
Research Interest:
Machine learning related to generalization such as Domain Adaptation(DA), Semi-Supervised Learning(SSL), and Active Learning(AL).
Low-level computer vision tasks such as Semantic Segmentation, Depth Completion, and Stereo Matching.
Selected Publications
(* equal contribution)
A Multi-In-Single-Out Network for Video Frame Interpolation without Optical Flow (Rank #1 in Vimeo90K, UCF101)
Jaemin Lee, Minseok Seo, Sangwoo Lee, Hyobin Park, Dong-Geol Choi
arXiv preprint arXiv:2311.11602, 202
Towards the Human Global Context: Does the Vision-Language Model Really Judge Like a Human Being?
Sangmyeong Woh*, Jaemin Lee*, Ho joong Kim, Jinsuk Lee
arXiv preprint arXiv:2207.08333 , 2022
A Self-Supervised Sampler for Efficient Action Recognition: Real-World Applications in Surveillance System
MinSeok Seo*, Donghyeon Cho*, SangWoo Lee*, Jongchan Park, Daehan Kim, Jaemin Lee, Jingi Ju, Hyeoncheol Noh, and Dong-Geol Choi
IEEE Robotics and Automation Letters (RA-L) with ICRA , 2022
Exploiting Features with Split-and-Share Module
Jaemin Lee*, Minseok Seo*, Daehan Kim,* Sangwoo Lee, Jongchan Park, Dong-Geol Choi
MDPI Electronics, 2022
Sequential feature filtering classifier
Minseok Seo*, Jaemin Lee*, Jongchan Park, Daehan Kim, Dong-Geol Choi
IEEE Access, 2021
Work Experiences
Testworks Inc. Deep Learning Researcher [Dec. 2021 ~ ]
DAREUNKOREA Inc. Co-founder, Main Developer [Jan 2016 - Feb 2018]
대전광역시 제 1기 대전 청년정책 네트워크 위원 [Feb 2017 ~ Feb 2019]
Teaching Assistant
Artificial Intelligence (학부 : 인공지능)
UNIX System (학부 : 유닉스 시스템)
Introduction to Engineering Design (학부 : 공학설계입문)
Hanbat AI Intensive Course (2020, Daejeon)
Hanbat AI Intensive Course (2021, Sejong)
Skills Summary
Languages: C, C++, Java, PHP, Python, Javascript, Typescript, Shell Script
Frameworks: Express, React, Vue, jQuery, Angular, Spring, AWT, Pytorch, TensorFlow
Tools: Git, Docker, Redis, PM2
Database: MySQL, MongoDB, MariaDB, RDB
Platforms: Linux, Web, Windows, AWS
Honors & Awards
HBNU Capstone Design Project (overall 1st prize)
University Student Autonomous Driving Contest (KASE 2019 (9th))
창업선도대학 w-해커톤 충청호남권 대상 (1st prize)
창업선도대학 w-해커톤 전국결선 최우수상 (2nd prize)
대전 창조경제 혁신센터 우수 아이디어 페스티벌 1위 (1st prize)
Education & Scholarship
M.S in Hanbat National University
Department of Information and Communication Engineering, Mar. 2020 – Feb 2022
Master's thesis: A systematic artificial intelligence training methodology for robust driving area recognition in outdoor environments
학위논문: 아웃도어 환경에서 강인한 주행영역 인식을 위한 체계적인 인공지능 학습 방법론
B.S in Hanbat National University
Department of Information and Communication Engineering, Mar. 2015 – Feb 2019
Full-fund Scholarship Funded by SFFL (The Scholarship Foundation for Future Leaders)