Bio.
I am Staff Engineer at Samsung Electronics.
I received my PhD in EECS at Gwangju Institute of Science and Technology (GIST), South Korea, advised by Moongu Jeon in Feb, 2022. I also received a B.S. in Computer Science from Korea Aerospace University, South Korea in Feb, 2016.
I focused on the intersection between computer vision, deep learning and representation learning for visual perception in the context of robot agents and large-scale systems. Specifically, I studied visual perception in unconstrained environments where the performance of visual sensing is largely threatened by various types of degradation such as bad weather, noises, occlusion, and dataset biases. Altogether, this research has set new state-of-the-art standards in terms of recognition-friendly and universalness. As a result, my papers have been published at outstanding computer vision and robotics venues such as ICRA, RA-L, T-NNLS, and T-ITS.
News
- [Mar. 01, 2022] I started working for Samsung Electronics in Suwon, Korea. [NEW~]
- [Jan. 31, 2022] 2 papers accepted at ICRA!
- [Dec. 07, 2021] 1 paper accepted as IEEE T-ITS (License Plate detection)!
- [Nov. 26, 2021] I defense my PhD dissertation!
- [Jun, 16, 2021] 1 paper accepted at IEEE RA-L!
- [Jun, 01, 2021] We are organizing AVSS 21 DeepView workshop! [Link]
- [Feb, 01, 2021] 1 paper accepted at ICRA 2021!
- [Oct, 01, 2021] Our work in IV 20 for traffic scene recognition is selected for Best Student Paper Award
- [Feb, 15, 2020] 2 papers accepted to IV 2020!
- [Aug.18, 2019] Our work on SNIDER is accepted to IEEE/CVF ICCV Workshop 2019.
- [Apr.10, 2019] Our work on Road Marking Recognition is accepted to IEEE IV 2019.
Publications
International Journal
License Plate Detection via Information Maximization
Younkwan Lee, Jihyo Jeon, Yeongmin Ko, Moongu Jeon, Witold Pedrycz
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022
Learning to See in the Rain via Disentangled Representation
Younkwan Lee, Hyeongjun Yoo, Jongmin Yu, and Moongu Jeon
IEEE Robotics and Automation Letters (RA-L), 2021
Imbalanced Image Classification with Complement Cross Entropy
Yechan Kim, Younkwan Lee, and Moongu Jeon
Pattern Recognition Letters, 2021
Key points Estimation and Point Instance Segmentation Approach for Lane Detection
Yeongmin Ko, Younkwan Lee, Shoaib Azam, Farzeen Munir, Moongu Jeon and Witold Pedrycz
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2021
Abnormal Event Detection and Localization via Adversarial Event Prediction
Jongmin Yu, Younkwan Lee, Kin Choong Yow, Moongu Jeon, and Witold Pedrycz
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2021
Block Change Learning for Knowledge Distillation
Hyunguk Choi, Younkwan Lee, Kin Choong Yow and Moongu Jeon
Information Sciences, 2020
International Conference
Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather
Younkwan Lee, Jihyo Jeon, Yeongmin Ko, Byung-Gwan Jeon, and Moongu Jeon
IEEE International Conference on Robotics and Automation (ICRA), 2021
Learning to Disentangle Representations for Rain Streak Removal
Younkwan Lee, Hyeongjun Yoo, and Moongu Jeon
IEEE International Conference on Image Processing (ICIP), 2021
Self-Supervised Attribute-Aware Refinement Network for Low-Quality Text Recognition
Younkwan Lee, Hyeongjun Yoo, Yechan Kim, Jihun Jeong and Moongu Jeon
European Conference on Computer Vision (ECCV) Workshop, 2020.
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles
Younkwan Lee, Jihyo Jeon, Jongmin Yu and Moongu Jeon
IEEE Intelligent Vehicles Symposium (IV), 2020. (Best Student Paper Award)
Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform
Jongmin Yu, Du Yong Kim, Younkwan Lee and Moongu Jeon
IEEE Intelligent Vehicles Symposium (IV), 2020.
SNIDER: Single Noisy Image Denoising and Rectification for Improving License Plate Recognition
Younkwan Lee, Juhyun Lee, Hoyeon Ahn and Moongu Jeon
IEEE/CVF International Conference on Computer Vision (ICCV) Workshop, 2019. (Outstanding Paper Award)
Unconstrained Road Marking Recognition with Generative Adversarial Networks
Younkwan Lee, Juhyun Lee, Yoojin Hong, Yeongmin Ko and Moongu Jeon
IEEE Intelligent Vehicles Symposium (IV), 2019.
Empirical Analysis of Tree-Based Models for PM2.5 Concentration Prediction
Juhyun Lee, Yoojin Hong, Younkwan Lee, Hyun Soo Kim, Chul Han Song, Du Yong Kim and Moongu Jeon
IEEE International Conference on Signal Processing and Communication Systems (ICSPCS 2019), 2019.
Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-Resolution
Younkwan Lee, Jiwon Jun, Yoojin Hong and Moongu Jeon
International Conference on Computer Vision Theory and Applications (VISAPP 2019), 2019.
Accurate License Plate Recognition and Super-Resolution using Generative Adversarial Networks on Traffic Surveillance Video
Younkwan Lee, JaeWoong Yun, Yoojin Hong, Juhyun Lee and Moongu Jeon
IEEE International Conference on Consumer Electronics (ICCE-Asia 2018), 2018.
Real-time Traffic Sign Recognition
QuangVinh Dinh, Younkwan Lee, Hyunguk Choi and Younkwan Lee, Jongmin Yu and Moongu Jeon
IEEE International Conference on Consumer Electronics (ICCE-Asia 2018), 2018
Automatic Part Localization using 3D Cuboid Box for Vehicle Subcategory Recognition
Younkwan Lee, Jongmin Yu and Moongu Jeon
IEEE International Conference on Control, Automation and Information Sciences (ICCAIS 2017), 2017
Korean Conference Papers
■ 전지효, 이윤관, 한대영, 전문구, "어텐션 기반 자기지도학습 단안 영상 깊이 추정", 한국정보과학회 KCC, 온라인, 2020
■ 유형준, 이윤관, 전문구, "해상도에 따른 실세계 이미지 분류 고찰", 한국정보과학회 KCC, 온라인, 2020
■ 김예찬, 이윤관, 전문구, "Cross Entropy를 이용한 불균형 데이터의 학습", 한국정보과학회 KCC, 온라인, 2020 (우수논문상)
■ 전지효, 이윤관, 이주현, 고영민, 전문구, "자기지도적 학습에 의한 단안 영상 깊이 추정", IPIU 2020, 제주
■ 이윤관, 이주현, 전지원, 송영민, 전문구., "회전 불변의 자기지도적 물게 검출", 한국정보과학회 KSC, 2019
■ 이주현, 이윤관, 홍유진, 전문구, "PM10 농도 예측을 위한 머신러닝 기반 결측치 처리의 실증적 분석 ", 대한전자공학회 하계종합학술대회, Jun 26 - 28, 2019
■ Younkwan Lee, Yoojin Hong, JaeWoong Yun, Moongu Jeon, "비정형화된 환경에서 차량 번호판 검출을 위한 CNN 기반의 단일 파이프라인 검출 방법", 한국정보과학회 KSC, 910-912, 2017 (우수논문상)
■ Younkwan Lee, Dae-Young Shim and Moongu Jeon, "자연의 영상에서 문자 합성 모델을 사용한 문자 검출", 대한전자공학회 하계종합학술대회, Jun 29 - Jul 1, 2017
Patents
■ 이윤관, 전문구 "연속학습 기반의 얼굴인식을 통한 출입문 관제 시스템", 국내 출원 번호 : 10-2021-0001850 , 출원일자: 2021.01.07
■ 이윤관, 유형준, 전문구 "영상의 빗물제거 시스템", 국내 출원 번호 : 10-2020-0108866 , 출원일자: 2020.12.04
■ 이근신, 이종선, 전문구, 이윤관 "영상 이미지 학습장치 및 방법", 국내 등록 번호 : 10-2119687, 등록일자 : 2020.06.01, 국내 출원 번호 : 10-2020-0025785 , 출원일자: 2020.03.02
■ 이근신, 이종선, 전문구, 이윤관 "영상 개선 장치", 국내 등록 번호 : 10-2124497, 등록일자 : 2020.06.12, 국내 출원 번호 : 10-2020-0026784 , 출원일자: 2020.03.02
■ 윤용상, 전문구, 유종민, 이윤관 "행위 인식 방법 및 장치", 국내 출원 번호 : 2019-0123041 , 출원일자: 2019.10.04
■ 이윤관, 전문구 "차량 인식 시스템", 국내 등록 번호 : 10-2082254, 등록일자 : 2020.02.21, 국내 출원 번호 : 2018-0029955 , 출원일자: 2018.03.14
Reviewer Activity
■ IEEE Intelligent Vehicles Symposium (IV) - 2020
■ IEEE Access - 2020
■ IEEE Transactions on Intelligent Transportation Systems (TITS) - 2020
■ Information Sciences - 2020
■ IET Image Processing - 2020
Research Projects
■ AR/VR 기반의 가상 자율주행 시뮬레이션 플랫폼 구축, 08/2017-current
■ 자율주행 및 주행보조 핵심기술 개발 및 플랫폼 구축, 03/2017-12/2017
■ 치매 환자 행동 모니터링 기계학습 기술 개발, 06/2016-12/2017
■ 국방 인공지능(AI) 활용 실증기획 연구, 국방부, 08/2017-02/2018
■ 맞춤형광고를 위한 광고 시청자 인지기술개발, 중기청, 06.2014-09.2015
Experience and Awards
■ Excellence Paper Prize, EECS, GIST, 2019
■ Outstanding Paper Award, RLQ Workshop in conjunction with ICCV, 2019
■ Excellence Paper Prize, Korea Software Congress, 2017
■ Teaching Assistant, Machine Learning, 2017 [link]
■ Teaching Assistant, Computer Graphics, 2015
■ Ph.D. scholarship, Korean government support program, 2017-present.
■ M.S. scholarship, Korean government support program, 2016.
■ 2014.7-2014.12 : S/W Global Intern, Microsoft Asia, Seoul
Talks
Deep Learning Based License Plate Recognition
Fast Object Detection in Smart Factory [slide]
Smart Factory and GAN(Generative Adversarial Networks) [slide]
GAN(Generative Adversarial Networks) Seminar [slide]
VAE(Variational Auto-Encoder) Seminar [slide]