Jin Kim
Scholar

Jin Kim

Google Scholar ID: hNelR_AAAAAJ
Yonsei University
Deep learningVision-Language modelDomain GeneralizationMeta LearningSegmentation
Citations & Impact
All-time
Citations
235
 
H-index
7
 
i10-index
5
 
Publications
10
 
Co-authors
11
list available
Publications
10 items
Browse publications on Google Scholar (top-right) ↗
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.