Team
Jae-Yong Baek (백재용)
Candidate / Ph.D.

Ph.D. in Computer Engineering, Inha University, Republic of Korea

M.S. in Computer Vision, Incheon National University, Republic of Korea

B.S. in Computer Engineering, Academic Credit Bank System, Republic of Korea

Research Interests : Object detection, generative model, continual learning, quantization and optimization for edge AI

E-Mail : [email protected]


  • Personal info
  • Publication
  • Project

Education

- INHA University (Ph.D. in Computer Vision and Machine Learning, 2023.03 – Now)
- Incheon Nation University (M.S. in Computer Science and Engineering, 2017.03 – 2019.02)
- Academic Credit Bank System (B.S. in Computer Science and Engineering, 2013.01 – 2013.08)
- INHA Technical Collage (A.S in Computing & Information Systems Engineering, 2002.03 – 2009.02)

Biography

Jae-Yong Baek received the M.S degree in Computer Science and Engineering from Incheon Nation University, and worked as a software engineer that develop the software for object detection, lane detection and semantic segmentation in autonomous vehicle startup. He is currently pursuing the Ph.D. degree with the Department of Electronic Computer Engineering at Inha University, Korea and current research interests are object detection, generative model, continual learning and quantization and optimization for edge AI.

Contact Information

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

E-Mail: [email protected]

군용 도메인 영상에 대한 서버와 온-보드 간의 객체 검출 성능 분석

Du-Hwan Hur, Dae-Hyeon Park, Deok-Woong Kim, Jae-Yong Baek, Jun-Hyeong Bak and Seung-Hwan Bae*
한국컴퓨터정보학회논문지 pp. 157-164, August, 2024

생성 모델을 이용한 데이터 프리 양자화를 위한 Bit-width Aware Generator와 채널 어텐션 기반 중간 레이어 지식 증류

Jae-Yong Baek, Dae-Hyeon Park, Yong-Sang Yoo, Du-Hwan Hur, Deok-Woong Kim, Hyuk-Jin Shin and Seung-Hwan Bae*
한국컴퓨터정보학회논문지 pp. 11-20, July, 2024

딥러닝 기반 유도무기 표적 검출에 적합한 지역적/전역적 적외선 이미지 전처리 기법에 관한 연구

Jae-Yong Baek, Dae-Hyeon Park, Yong-Sang Yoo, Du-Hwan Hur, Deok-Woong Kim, Hyuk-Jin Shin and Seung-Hwan Bae*
한국컴퓨터정보학회논문지 pp. 41 - 51, July, 2024

Multi-Source Light Detection with Semi-supervised Learning and Lightness Focal Loss

Yong-Sang Yoo, Jae-Yong Baek, and Seung-Hwan Bae*
제 36회 영상처리 및 이해에 관한 워크샵 pp. 1-6, Feburary, 2024
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


대학중점연구소지원사업
지원기관: 교육부
과제기간: 2022.06.01 ~ 2031.05.31
Status: On-Going
인공지능융합혁신인재양성 사업 (인공지능융합연구센터 후속 사업)
지원기관: 한국연구재단
과제기간: 2022.07.01 ~ 2025.12.31
Status: On-Going
인간처럼 회상이 가능한 인공 신경망 지속학습 플랫폼
지원기관: 과학기술정보통신부
과제기간: 2022.04.01 ~ 2026.12.31
Status: On-Going
대규모 확장 가능한 On-Vision AI를 위한 E3-AI 네트워크와 협업 학습 연구
지원기관: 한국연구재단
과제기간: 2020.09.01 ~ 2027.08.31
Status: On-Going
BK21플러스 4단계 최종 사업
지원기관: 한국연구재단
과제기간: 2020.09.01 ~ 2027.08.31
Status: On-Going