Team
Yong-Sang Yoo (유용상)
Candidate / B.S.

B.S. Candidate in Computer Science and Engineering, Incheon National University, Republic of Korea

Research Interests : Generative adversarial networks, object detection, image segmentation, machine learning, multi-object tracking and deep learning

E-Mail : cpp0094@gmail.com


  • Personal info
  • Publication
  • Project

Education

- Incheon National University, Korea (B.S. in Computer Science and engineering, 2015.03 ~ Current)

Biography

Yong-Sang Yoo is currently pursuing the B.S. degree with the Department of Computer Science and Engineering, Incheon National University, South Korea. His current research interests include generative adversarial networks, object detection, image segmentation, machine learning, multi-object tracking and deep learning.

Contact Information

Location : Room #1201, Inha Hi-Tech Center, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Korea.

E-Mail: cpp0094@gmail.com
적대적 앙상블 학습을 통한 합성 얼굴 이미지 판별, 제33회 영상처리 및 이해에 관한 워크샵, Feburary, 2021
by Yong-Sang Yoo, and Seung-Hwan Bae*
제33회 영상처리 및 이해에 관한 워크샵, Feburary, 2021
Generative Adversarial Ensemble Learning for Face Forensics, IEEE Access, March, 2020, Vol. 8, PP. 45421-45431
by Jae-Yong Baek, Yong-Sang Yoo, and Seung-Hwan Bae*
IEEE Access, March, 2020
DOI: 10.1109/ACCESS.2020.2968612



Adversarial Learning with Knowledge of Image Classification for Improving GANs, IEEE Access, April, 2019, Vol. 7, No. 1, PP. 56591-56605
by Jae-Yong Baek, Yong-Sang Yoo, and Seung-Hwan Bae*
IEEE Access, April, 2019
DOI: 10.1109/ACCESS.2019.2913697


인공지능융합연구센터 지원사업
지원기관: 정보통신기획평가원
과제기간: 2020.04.01 ~ 2022.12.31
Status: On-Going
시각장애인 및 저시력자를 위한 영상기반 주변 안내 기술
지원기관: 과학기술정보통신부
과제기간: 2018.03.01 ~ 2021.02.28
Status: On-Going
다중 모델을 결합한 사물 추적 기술 개발
지원기관: 한국전자통신연구원
과제기간: 2020.05.27 ~ 2020.11.30
Status: Finished
자율 주행을 위한 딥러닝 기반 실시간 다중 객체 인식 기술개발
지원기관: 현대엔지비
과제기간: 2019.08.11 ~ 2020.02.11
Status: Finished
보간을 통한 끊김 없는 사물 추적 기술 연구
지원기관: 한국전자통신연구원
과제기간: 2019.05.15 ~ 2019.11.30
Status: Finished