Jaehoon Yoo
Hi, I am a PhD student at KAIST VLLAB (Prof. Seunghoon Hong). I received B.S. at KAIST EE and M.S. at KAIST CS. My current research interest is improving the computational efficiency of neural networks and enhancing generative models.
Email : wogns98@kaist.ac.kr
Publications
Simulation-Free Training of Neural ODEs on Paired Data (NeurIPS 2024) [paper] [code]
Semin Kim*, Jaehoon Yoo*, Jinwoo Kim, Yeonwoo Cha, Saehoon Kim, Seunghoon Hong
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality (ICLR 2024) [paper] [code]
Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong
Towards 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 Hong
SetVAE: 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
2025 ICLR2025 Notable Reviewer
2016 - 2020 The Presidential Science Scholarship (대통령과학장학금)