About

Hi, this is Dogun Kim (김도건 in Korean). Nice to have you here!
I studied Artificial Intelligence and Computer Vision in Master Degree program at Sungkyunkwan University AAI (Department of Applied Artificial Intelligence) as a member of Data eXperience Lab advised by Dr. Eunil Park.
Now, I am a Deep Learning Researcher at the Hanwha Systems

Education

M.Sc. in Applied Artificial Intelligence
Sungkyunkwan University

Seoul, Republic of Korea

Mar 2020 to Feb 2022

B.S. in Embedded Systems Engineering
Incheon National University

Incheon, Republic of Korea

Mar 2012 to Feb 2018

Careers

Deep Learning for Computer Vision Research & Development
Hanwha Systems

Mar 2020 to Present - Working in AI Lab, Innovation Center, ICT Division.

Online Instructor
Computer Vision, Fast campus

Jan 2024 to June 2024

Future Education Advisory Committee
Embedded Systems Engineering, Incheon National University

2023.

Software Development
Hanwha Systems

Jan 2018 to Feb 2020 - Working in Insurance IT Business, ICT Division.

Intern
KIA Motors Corporation

Summer Internship, 2017 - Working in Information Technology Department.

Student Tech Evangelist
Microsoft Student Partners

June 2015 to June 2016.

Publications

AFA-Net: Adaptive Feature Attention Network in image deblurring and super-resolution for improving license plate recognition
Dogun Kim, Jin Kim, Eunil Park (2023).
Computer Vision and Image Understanding (SCIE, JCR 2022 IF=4.5, Q2 in Engineering, Electrical & Electronic).

Computational analysis of a collaboration network on human-computer interaction in Korea
Seungpeel Lee†, Jisu Kim†, Eun Been Choi†, Sojung Shin†, Dogun Kim†, HyeRim Yu, Seoyun Kim, Wongi. Na, and Eunil Park †Equally contributed first authors (2022).
Mathematical Biosciences and Engineering, 19(12), 13911–13927 (SCIE, JCR 2021 IF=2.194).

Thermal Image Super-Resolution Challenge Results - PBVS 2022
Rafael E. Rivadeneira, Angel D. Sappa, Boris X. Vintimilla, Jin Kim, Dogun Kim, Zhihao Li, Yingchun Jian, Bo Yan, Leilei Cao, Fengliang Qi, Hongbin Wang, Rongyuan Wu, Lingchen Sun, Yongqiang Zhao, Lin Li, Kai Wang, Yicheng Wang, Xuanming Zhang, Huiyuan Wei, Chonghua Lv, Qigong Sun, Xiaolin Tian, Zhuang Jia, Jiakui Hu, Chenyang Wang, Zhiwei Zhong, Xianming Liu and Junjun Jiang (2022).
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop (PBVS '22).

A smart home dental care system: integration of deep learning, image sensors, and mobile controller
Kim, D., Ahn, S., Choi, J., & Park, E.*. (2021).
Journal of Ambient Intelligence and Humanized Computing (SCIE, JCR 2020 IF=7.104, Q1 in Computer Science, Artificial Intelligence).

Deep Learning Models for Autonomous Crack Detection System
자동화 균열 탐지 시스템을 위한 딥러닝 모델에 관한 연구
Ji HongGeun, Kim Jina, Hwang Syjung, Kim Dogun, Park Eunil, Kim Young Seok, Ryu Seung Ki. (2021).
KIPS Transactions on Software and Data Engineering (정보처리학회논문지: 소프트웨어 및 데이터 공학), 10(5), 161-168. ISSN: 2287-5905.

Tooth Diagnosis System Using Deep Learning
딥러닝을 이용한 치아진단 시스템
Do-Gun Kim, Seung-Kyu Park, Woo-Young Choi, Gwang-gil Jeon. (2017).
Korea Information Processing Society (한국정보처리학회:학술대회논문집), 757-759.

Patents

딥러닝 알고리즘을 이용한 치아 검진 방법 (Teeth examination system using deep learning algorithms)
등록일: 2022년 7월 29일 특허 발행기관·번호: 10-2020-0099628

다중 도메인 영상 복원 시스템 및 방법 (SYSTEM AND METHOD FOR MULTI-DOMAIN IMAGE RESTORATION)
등록일: 2021년 11월 8일 특허 발행기관·번호: 1020200118816

구강 상태 진단, 예측 또는 관리를 위한 치아영상의 분할 및 처리 방법 (Methods for Segmentation and Processing of Dental Images for Diagnosing, Predicting, or Managing Oral Conditions)
등록일: 2019년 8월 22일 특허 발행기관·번호: kr 1020190102993

Projects

카메라/라이다/GPS를 활용, 운전면허시험장/인제서킷레이싱 미션 수행이 가능한 자율주행자동차 연구개발 (인지 담당)
최종 본선대회 3위 수상, 제13회 미래자동차 기술공모전 자율주행자동차 경진대회, Hyundai Motor Group (Jan 2016 - May 2017)