Yoonki Cho

I am a Ph.D. student at the 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 from Korea University. My research interests cover the broad fields of computer vision and machine learning. Currently, I am focused on image retrieval and representation learning under conditions of limited data, such as unsupervised learning and domain adaptation/generalization.

Email / Google Scholar / Github

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

	Generalizable Person Re-identification via Balancing Alignment and Uniformity Yoonki Cho, Jaeyoon Kim, Woo Jae Kim, Junsik Jung, Sung-Eui Yoon NeurIPS, 2024 arXiv / Project / Code
	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

[CS206] Data Structure, Fall 2023

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