GIST AILAB - 이준석 Lee Junseok

junseoklee@gm.gist.ac.kr

062-715-5355

다산 204호

https://scholar.google.com/citations?user=0D3_0cAAAAAJ&hl=ko

2019. 09 - present : M.S. & Ph.D. student in School of Integrated Technology, GIST
2016. 03 - 2019. 08 : B.S. in Department of Aerospace and Software Engineering, GNU

2023. 09. - 2023. 12. : Teaching Assistant for Advanced Deep Learning (GIST, RT5102-01)
2022. 09. - 2022. 12. : Teaching Assistant for Advanced Deep Learning (GIST, RT5102-01)
2021. 09. - 2021. 12. : Teaching Assistant for Advanced Deep Learning (GIST, RT5102-01)
2021. 03. - 2021. 06. : Teaching Assistant for Deep Learning (GIST, RT5101-01)
2020. 09. - 2020. 12. : Teaching Assistant for Advanced Deep Learning (GIST, RT5102-01)
2020. 09. - 2020. 12. : Teaching Assistant for Creative Knowledge Creation (ME5135)
2019. 07. - 2019. 08. : Intern at Artificial Intelligence Laboratory (GIST)

AWARDS

Outstanding Paper Award (The 16th Korea Robotics Society Annual Conference), Korea Robotics Society, Korea (May. 2021 ~ May. 2021)
2021 GSS (GIST Sprint for Startup) Program 선정 (Fund 5,000,0000 ₩)
2021 지스트 창업아이디어 경진대회(GIST Startup Idea Contest) 총장상, Prize 1,000,000 ₩

Junseok Lee, Jumi Park, Seong-Yong Moon, and Kyoobin Lee, "Automated Prediction of Extraction Difficulty and Inferior Alveolar Nerve Injury for Mandibular Third Molar Using Deep Neural Network", applied sciences, (2022)
Jumi Park*, Junseok Lee*, Seong-Yong Moon, and Kyoobin Lee, "Deep Learning based Missing Tooth Regions Detection for Dental Implant Planning in Panoramic Radiographic Images", applied sciences, (2022)

백승혁, 신성호, 강래영, 이성주, 이주순, 육태경, 전창현, 김종원, 유연국, 박성호, 윤준호, 이준석, 이규빈, "물품조립 AI-조립설명서 기반 로봇의 작업계획 생성 시스템", 로봇과 인간 (2021)
Sungho Shin, Joosoon Lee, Junseok Lee, Seongjun Choi, and Kyoobin Lee, "Low-Resolution Image Classification Using Knowledge Distillation From High-Resolution Image Via Self-Attention Map", J KIISE. 47(11):1027-1031. doi:10.5626/JOK.2020.47.11.1027 (KCI 등재지)

Taeri Kim, Junseok Lee, Seongju Lee, and Kyoobin Lee, "GYM-Net: Graphical Y-branched Multi-tasking Network for Trajectory Prediction", The 22nd International Conference on Control, Automation and System (ICCAS 2022)
Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, and Kyoobin Lee, "Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition", European Conference on Computer Vision (ECCV 2022) Accpeted

Junseok Lee, Jongwon Kim, Jumi Park, Seunghyeok Back, Seongho Bak, and Kyoobin Lee, "Automatic Detection of Injection and Press Mold Parts on 2D Drawing Using Deep Neural Network", The 21st International Conference on Control, Automation and System (ICCAS 2021)
Deokhwan Park, Joosoon Lee, Junseok Lee, and Kyoobin Lee, "Deep Learning based Food Instance Segmentation using Synthetic Data", The 18th International Conference on Ubiquitous Robots (UR 2021)
Seongju Lee*, Yeonguk Yu*, Junseok Lee, Jumi Park, Changhyun Jun, and Kyoobin Lee, "Vessel Trajectory Forecasting on Naval Warfare Simulation via CVAE-based Model", The 9th International Conference on Robot Intelligence Technology and Applications (RiTA 2021)
Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, and Kyoobin Lee, " Multiple Classification with Split Learning", The 9th International Conference on Smart Media and Applications (SMA 2020)

박주미, 이준석, 이성주, 유연국, 이규빈*, "Self-attention을 이용한 치과 파노라마 이미지에서의 치아 인스턴스 분할 성능 향상", 제 17회 한국로봇종합학술대회 (KRoC 2022)

이준석, 박주미, 김종원, 이주순, 이규빈*, "딥러닝 기반의 상하악 사랑니 매복 유형 분류", 제 36회 제어로봇시스템학회 (ICROS 2021)
이주순, 이준석, 박성호, 백승혁, 이규빈*, "로봇 비전을 위한 CAD 모양의 다양성 분석", 제 16회 한국로봇종합학술대회 (KRoC 2021)
윤준호, 이준석, 전창현, 이규빈*, "딥러닝을 이용한 열연 동판 상태 분류", 제 15회 한국로봇종합학술대회 (KRoC 2020)
박성호, 백승혁, 김종원, 이준석, 박철, 안희재, 박민상, 이규빈*, " 사출 압축 금형 설계 효율성 증대를 위한 부품의 2D도면 내 형상 검출", 제 15회 한국로봇종합학술대회 (KRoC 2020)

2020. 01. - 2020. 06. : 조립 설명서로부터 비정형 멀티 모달 정보를 이해하여 실ㆍ가상환경에서 가구조립을 위한 작업 계획을 생성ㆍ검증하는 AI 기술 개발 (과학기술정보통신부)
2019. 09. - 2020. 04. : 열연 통판 실시간 영상 분석 알고리즘 개발 (포스코)
2019. 09. - 2020. 01. : AI 기반 금형부품 형상인식 기술개발 (삼성전자)