My first introduction to machine learning was during a project in one of my applied math courses that used linear regression to reconstruct pictures based on a huge sample. At first, I was skeptical about the results of this relatively simple mathematical operation to reconstruct right side of a picture based on left but was mindblown by the results. Since then I've learned various languages and frameworks and built more to-do lists then I can count.
I am now looking for my next adventure, so feel free to shoot me an email or connect on linkedIn.
Information
Name Eungbean Lee (이응빈)
Location Seoul, KR
AffliatesYonsei University
E-mail eungbeanyonsei.ac.kr
yonsei.ac.krSparks
Music Production Outdoor Activities OptimizationResearch Interests
Generative AI, Image Generation, Multimodal, Diffusion Models Image Generation, Image Translation.Education and Experiences
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2019-Current Ph.D Candidate, Yonsei University, Seoul, KR
School of Electrical & Electronic Engineering (under prof. Kwanghoon Sohn)
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2024 Teaching Assistant, Yonsei University, Seoul, KR
Deep Learning Experiment (EEE4423)
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2021 Teaching Assistant, Yonsei University, Seoul, KR
Engineering Capstone Design (EEE4610)
2018 Korea Institute of Science and Technology (KIST), Seoul, KR
- Participated in the project on Connected Active Space for Elderly
- Development Chat-bot for Elderly with Computer Vision and Deep Learning
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2010-2017 Research Intern, Sogang University, Seoul, KR
- Prediction of Traffic Accidents Using Deep Learning Based Dashcam Video.
2013-2015 R.O.K. Marine Corps. (ARAW Contingent, Philippines)
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2012 Korea Institute of Science and Technology (KIST), Student Intern, Seoul, KR
- Participated in the project on Microsoft Kinect Face Recognition Accuracy
- Enhancement and learned features in image processing.
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2010-2017 Sogang University, Seoul, KR
BS in Physics and Electrical Engineering (Double Major)
Honors and Awards
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2024 Top Prize (대상) in K-Digital AI Startup Challenge Link
Ministry of Science and ICT Award (과학기술정보통신부장관상)
Prize: 160k USD (상금 2억원)
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2020 4th Place (Top 1%) in Satellite Ship Detection Challenge
K-DARPA, ADD (국방과학기술부)
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2016 Grand Prize (최우수상) in Convergence Technology Competition
Sogang University President’s Award (서강대학교총장상)
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2007 Excellence Award (우수상) in 53rd National Science Fair
Ministry of Science and Technology Award (과학기술부장관상)
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2007 Grand Prize (최우수상) in 48th Seoul Science Fair
Superintendent of Seoul Metropolitan Office of Education’s Award (서울특별시교육감상)
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2019-current Brain Korea National Science Scholarship of Korea Research Foundation
Publication (International)
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EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models Paper Code
Eungbean Lee, Somi Jeong, Kwanghoon Sohn
European Conference on Computer Vision (ECCV), Sep. 2024
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Semantic Equalization Learning for Semi-Supervised SAR Building Segmentation Paper
Eungbean Lee, Somi Jeong, Kwanghoon Sohn
IEEE Geoscience and Remote Sensing Letters (GRSL), Jan. 2022
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Privileged knowledge distillation for SAR building extraction Oral Paper
Eungbean Lee, Somi Jeong, Kwanghoon Sohn
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul. 2021
Publication (Domestic)
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변형 가능한 컨볼루션 네트워크와 지식증류 기반 위성 영상 빌딩 분할
최근훈, 이응빈, 최병인
한국 멀티미디어 학회, Jul. 2022
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U-Net 기반 EO 및 SAR 위성 영상에서의 빌딩 분할 Oral
이응빈, 조재훈, 김진, 권형준, 손광훈
대한전자공학회 하계종합학술대회, Jun. 2021
Projects
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Research on Satellite Image AI Recognition System.
- Research on building segmentation and detection in EO satellite imagery.
- Hanhwa System, Republic of Korea.
- 2020 Jul. - 2022 Jun.
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Research on the concept of deep learning target classification based on radar image signals.
- Research on building segmentation in SAR satellite imagery.
- Agency for Defense Development (ADD), Republic of Korea.
- 2020 May - 2022 May
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Applied Research to Deep Learning Target Classification based on Radar Image (Phase-I)
- Research on efficient building segmentation in SAR satellite imagery.
- Hanhwa System.
- 2021. Mar. - 2022. Mar.
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Research on Target Detection and Tracking Algorithms with Deep Learning.
- Research on Video Object Segmentation.
- LIG Nex 1.
- 2019. Mar. - 2020. Aug.
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Design on Future-generation Traffic Light. (Project Leader)
- Project during undergraduate.
- Top prize, Convergence Technology Competition, 2016
- 2016 Jan. - 2016. Jul.
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Autonomous Delivery Campus Drone (Project Leader)
- Project during undergraduate.
- Finalist, Convergence Technology Competition, 2015.
- 2015 Jan. - 2015. Jul
Stacks
AI
Python
Pytorch
Lightning
Weights & Biases
DevOps
Javascript
Django
Gatsby
Jekyll
Docker
Tools
Photoshop
Illustrator
Premier Pro
Ableton Live
Latex
Communications
MS Office
Git
Notion
Jira
Languages Native in Korean and Fluent in English
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New GRE Verbal (156, 73%), Quantitative (168, 94%), Writing (3.0, 59%)
IBT TOEFL 93 (Reading: 22, Listening: 25, Speaking: 22, Writing: 24)
Licences & Extra
Deep Learning Nanodegree Udacity, 2018
Open Water Diver Confederation Mondiale des Activities Scubaquatiques (CMAS), 2016 Advanced Open Water Diver Professional Association of Diving Instructors (PADI), 2018️ Specialties: Enriched Air Diver, Night Diver, Project AWARE Airborne Basic parachutist Republic of Korea Marine, 2015 Para Gliding Student Pilot Pro2 Korea Hang & Para Gliding Committee, 2011 Craftsman Information Processing Ministry of Science and ICT, 2014 Lifeguard Republic of Korea Red Cross, 2013 Snowboard Instructor L1 Korea Ski Instructors Association, 2011 Formula 1 Race Marshals Korea Automobile Racing Association (KARA), 2010