Tel: +82-42-350-7521
E-Mail: yeonju29[at]kaist.ac.kr
Education
2021.3 - Present M.S. (School of Electrical Engineering), Korea Advanced Institute of Science Technology, South Korea
2017.3 - 2021.2 B.S. (Dept. of Electrical Engineering), Korea University, South Korea
Research Interests
Computer Vision, Deep Learning
Multi-modal Learning
Few-shot Learning
Projects
2021.3 - present
Agency of Defense Development (ADD)
National Defense AI Specialized Research Center Phase 1 (미래국방 인공지능 특화연구센터(2019)1단계)
2021.3 - 2021.11
Center for Security Technology Research, Korea Advanced Institute of Science and Technology (KAIST)
Advanced research on machine learning using tiny data (소량의 데이터를 활용한 머신러닝 기술(방안) 고도화)
Publications
Yeonju Park, Sangmin Woo, Sumin Lee, Muhammad Adi Nugroho, Changick Kim, "Cross-Modal Alignment and Translation for Missing Modality Action Recognition", Submitted to Computer Vision and Image Understanding, Jan. 2023.
Sangmin Woo, Sumin Lee, Yeonju Park, Muhammad Adi Nugroho, Changick Kim. Towards Good Practices for Missing Modality Robust Action Recognition. Proceedings of the AAAI conference on artificial intelligence (AAAI), 2023.
Sumin Lee, Sangmin Woo, Yeonju Park, Muhammad Adi Nugroho, Changick Kim. Modality Mixer for Multi-modal Action Recognition. IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.
Inyong Koo, Yeonju Park, Minki Jeong, Changick Kim. Contrastive Accelerometer-Gyroscope Embedding Model for Human Activity Recognition. IEEE Sensors Journal, 2022.
고강욱, 박연주, 김윤지, 김희선, 심규진, 김창익, 거리두기 손실 함수를 통한 자기지도 대조 학습의 성능 향상, 대한전자공학회 하계학술대회, Jun, 2022.
박연주, 구인용, 정민기, 김창익, "트랜스포머를 이용한 다종 센서 기반 행동 인식," 대한전자공학회 추계학술대회, Nov, 2021.
박연주, 이상호, 김종옥, Sparse 복원과 이중 잔차 학습을 이용한 RGB 영상의 초분광 복원 기법, 대한전자공학회 하계학술논문집, Aug, 2020.