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Resume (English only)
Academic Achievements
Publications: 'Faster Parameter-Efficient Tuning with Token Redundancy Reduction' accepted to CVPR 2025; 'Source-Free Domain Adaptation for Remote Sensing Object Detection Using Low-Confidence Pseudolabels' and several other papers accepted to ECCV 2024, CVPR 2024, WACV 2024, ICCV 2023, CVPR 2023, CVPR 2022, ICIP 2021.
Research Experience
Currently a Ph.D. candidate at the Digital Image Media Lab, Yonsei University, and collaborating with Ji-Young Lee of the Naver AI Lab and Jung-In Park.
Education
Mar, 2020 - Present, Yonsei University, Seoul, South Korea, Integrated M.S./Ph.D. student in Electrical and Electronic Engineering, Advisor: Prof. Kwanghoon Sohn; Mar, 2013 - Feb, 2020, Yonsei University, Seoul, South Korea, B.S. in Electrical and Electronic Engineering; Mar, 2010 - Feb, 2013, Ulsan Science High School, Ulsan, South Korea.
Background
Research interests include machine learning and computer vision, particularly in understanding the intrinsic motivation for human learning and why machines cannot handle complex situations. Specific research areas include: Vision-Language model, Multi-modal models, Image Segmentation, Object Detection, Test-time Adaptation, Domain Generalization, Unsupervised Domain Adaptation, Meta-learning, and Memory Network.