Jaeseok Byun
Jaeseok Byun
Ph.D student at Seoul National University
(M.IN.D lab , Advisor : Taesup Moon)
wotjr3868 [at] snu.ac.kr
Google Scholar | Github | Linkedin
I'm a graduate research assistant working towards developing practical AI algorithms in resource-constrained systems. I worked as a research intern at MSRA and worked as an visiting student researcher in Stanford. Now, I'm currently working an applied scientist intern at Amazon AGI. My primary research focus lies in the image denoising and multi-modal learning (e.g., vision-language alignment and multi-modal retrieval).
Region-Aware Text-to-Image Retrieval with Efficient Region-Informed Sequential Query Embedding
Seokhyeon Jeong*, Jaeseok Byun*, Paul Hongsuck Seo, and Taesup Moon.
Preprint, 2025.
Efficient and Robust SEM Image Denoising for Wafer Defect Inspection
Hyungwoong Bae, Jaeseok Byun, Yongwoo Lee, and Taesup Moon.
Microscropy and Microanalysis, 2025.
MA-CIR: Multi-modal Arithmetic Benchmarks for Composed Image Retrieval
Jaeseok Byun, Youngkyun Jang, Seokhyeon Jeong, Donghyun Kim, and Taesup Moon.
ICCV, 2025.
RTD: Reducing Task Discrepancy of Text Encoders for Zero-Shot Composed Image Retrieval
Jaeseok Byun*, Seokhyeon Jeong*, Wonjae Kim, Sanghyuk Chun, and Taesup Moon. (*: Equal Contribution)
ICCV, 2025.
MAFA: Managing False Negatives for Vision-Language Pre-training
Jaeseok Byun*, Dohoon Kim*, and Taesup Moon. (*: Equal Contribution)
CVPR, 2024.
GRIT-VLP: Grouped Mini-batch Sampling for Vision-Language Pre-training
Jaeseok Byun*, Taebaek Hwang*, Jianlong Fu, and Taesup Moon. (*: Equal Contribution)
ECCV, 2022.
FBI-Denoiser: Fast Blind Image Denoiser for Source-Dependent Noise.
Jaeseok Byun*, Sungmin Cha*, and Taesup Moon. (*: Equal Contribution)
CVPR, 2021. (Oral Presentation)
Learning Blind Pixelwise Affine Image Denoiser with Single Noisy Images
Jaeseok Byun and Taesup Moon
IEEE Signal Processing Letters (SPL, IF=3.268), 2020.
Applied Scientist Intern, Amazon AGI [2025.09 ~ Present] (Manager: Davide Modolo, Mentor: Gukyeong Kwon)
Visiting Student Researcher, Stanford [2025.02 ~ 2025.08] (Mentor: Tsachy Weissman)
Research Intern, Microsoft Research Asia [2021.10 ~ 2022.05] (Mentor: Jianlong Fu)
Intern, SKT Data Analytics COE [2018.01 ~ 2018.02] (Mentor: Sehoon Lee)
Intern, MISO(O2O platform Start-up) [2017.07 ~ 2017.08]
Military Service [2014.07 ~ 2016.07]
CVPR 2025 Outstanding Reviewer
SBS foundation scholarship [06.2022 ~ Present]
Stars of tomorrow of Excellence in MSRA internship [05.2022]
Future Gauss Lecturer from Gauss Labs [02.2022]
Big Contest Challenge League, Second Prize [2017.11]
Institute of Applied Statistics in SKKU, First Prize [2017.02]
Wooseok Jungho Scholarship [2016.09~2019.06]
ICML 2023-2025, NeurIPS 2023-2025, EMNLP 2023, ICLR 2024-2026, CVPR 2024-2026, ICCV 2025, TMLR 2024-2025, AAAI 2024-2025
President, Statistical Analysis study club, SKKU [2016.09 ~ 2017.12]