Hoyoung Kim

I am a graduate student in the Graduate School of Artificial Intelligence at POSTECH and a member of the Machine Learning Laboratory, advised by Prof. Jungseul Ok.

My research interest lies in investigating diverse feedback mechanisms in machine learning, spanning from human-annotations to self-improvement, with the goal of the efficient evolution of artificial intelligence.

If you are interested in my research projects, please feel free to contact me via cskhy16@postech.ac.kr.

News

May 2, 2024	A paper about active label correction with foundation models is accepted in ICML 2024.
Feb 26, 2024	I won the BK23 best paper award from POSTECH GSAI.
Sep 22, 2023	A paper about active learning for semantic segmentation is accepted in NeurIPS 2023.
Jul 13, 2023	A paper about active learning for semantic segmentation is accepted in ICCV 2023.
Jul 28, 2022	I won the best paper award at CKAIA 2022.

Education

Oct, 2020 - Present	Pohang University of Science and Technology (POSTECH), Pohang, South Korea Integrated M.S./Ph.D. in Graduate School of Artificial Intelligence Advisor: Prof. Jungseul Ok
Mar, 2016 - Aug, 2020	Pohang University of Science and Technology (POSTECH), Pohang, South Korea B.S in Computer Science and Engineering

Publications

Active Label Correction for Semantic Segmentation with Foundation Models

Hoyoung Kim, Sehyun Hwang, Suha Kwak, Suha Kwak, and Jungseul Ok

International Conference on Machine Learning (ICML) , 2024

arXiv Code Project page
Active Learning for Semantic Segmentation with Multi-class Label Query

Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, and Suha Kwak

Neural Information Processing Systems (NeurIPS) , 2023

arXiv Code Poster
Adaptive Superpixel for Active Learning in Semantic Segmentation

Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, and Jungseul Ok

International Conference on Computer Vision (ICCV) , 2023

arXiv Code Poster
Robust Deep Learning from Crowds with Belief Propagation

Hoyoung Kim*, Seunghyuk Cho*, Dongwoo Kim, and Jungseul Ok

International Conference on Artificial Intelligence and Statistics (AISTATS) , 2022

arXiv Code Poster