Yoonki Cho


I am a Ph.D. student at Scalable Graphics, Vision, and Robotics (SGVR) Lab at KAIST, advised by Prof. Sung-Eui Yoon. Before joining SGVR Lab, I received my B.S. degree in Computer Science at Korea University. My research interests are in broad fields of computer vision and machine learning. Particularly, I am interested in image retrieval and representation learning with limited data (e.g. unsupervised learning, domain adaptation/generalization, etc.).

Email  /  Google Scholar  /  Github

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Education

Mar. 2021 - Current: Ph.D. Student in Computer Science, KAIST (Advisor: Sung-Eui Yoon)

Mar. 2019 - Feb. 2021: M.S. in Computer Science, KAIST (Advisor: Sung-Eui Yoon)

Mar. 2015 - Feb. 2019: B.S. in Computer Science, Korea University
Publications
Feature Separation and Recalibration for Adversarial Robustness
Woo Jae Kim, Yoonki Cho, Junsik Jung, Sung-Eui Yoon
CVPR, 2023   (Highlights)
arXiv / Project / Code / Video
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification
Yoonki Cho, Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon
CVPR, 2022
arXiv / Project / Code / Video
RCIK: Real-Time Collision-Free Inverse Kinematics Using a Collision-Cost Prediction Network
Mincheul Kang, Yoonki Cho, Sung-Eui Yoon
IEEE Robotics and Automation Letters (RA-L), 2022
Paper / Project / Code / Video
Experiences

Research Assistant, National Forensic Service, Wonju, Korea   (Jul. 2017 - Dec. 2017)

Teaching Assistant, KAIST, Daejeon, Korea

  • [CS341] Introduction to Computer Networks, Fall 2019
  • [CS576] Computer Vision, Spring 2020
  • [CS360] Introduction to Database, Spring 2021
  • [CS492(I)] Introduction to Deep Learning, Fall 2022
  • [CS230] System Programming, Spring 2023

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