Jaehoon Yoo
Hi, I am a PhD student at KAIST VLLAB (Prof. Seunghoon Hong). I received B.S. at KAIST EE anfd M.S. at KAIST CS. My current research interest is improving the computational efficiency of Transformers.
Email : wogns98@kaist.ac.kr
Publications
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality (ICLR 2024) [paper] [code]
Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon HongTowards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers (CVPR 2023) [paper] [project]
Jaehoon Yoo, Semin Kim, Doyup Lee, Chiheon Kim, Seunghoon HongSetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data (CVPR 2021) [paper] [code]
Jinwoo Kim*, Jaehoon Yoo*, Juho Lee, Seunghoon Hong
Projects
2021-2024 Development of Short-term precipitation prediction technology using Artificial Intelligence
(인공지능 기반 초단기 강수예측 기술 개발)2019 Line-art Colorization with SPADE [code] [project report]
2018 Reproducing PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection with Pytorch [code]
Experience
2020 KAIST VLLab, Research Intern
2019 KAIST SIIT Lab, Research Intern
2018 NAVER WEBTOON, Research Intern
2018 KAIST IVY Lab, Research Intern
Honors
2016 - 2020 The Presidential Science Scholarship (대통령과학장학금)