Publications

Backward Compatible Embedding Adapters for Multimodal Large Language Models.

• • Jaeseok Byun,  Gukyeong Kwon, Han-Kai Hsu, Meher Gitika Karumuri, Zhikang Zhang, Hao Yang, and Davide Modolo. 

  • Preprint, 2026. (Work done during internship)

Region-Aware Text-to-Image Retrieval with Efficient Region-Informed Sequential Query Embedding

• • Seokhyeon Jeong*, Jaeseok Byun*,  Paul Hongsuck Seo, and Taesup Moon. (*: Equal Contribution) 

  • 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.

Education

Ph.D  [2021.09 ~ Present]

• Department of Electrical and Computer Engineering   in  SNU

BS / MS [2013.03 ~ 2021.08]

• Statistics &  Department of Electrical and Computer Engineering   in SKKU

Work Experiences

• Applied Scientist Intern, Amazon AGI [2025.09 ~ 2025.12] (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]

Awards and Honors

• CVPR 2025 Outstanding Reviewer [05.2025]

• SBS foundation scholarship [06.2022 ~ Present]

• Stars of tomorrow of Excellence in MSRA internship [05.2022]

• Future Gauss Lecturer from Gauss Labs [02.2022]

• Qualcomm Innovation Fellowship Korea (QIFK) 2021 [11.2021]

• 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]

Reviewer Services

• ICML 2023-2025, NeurIPS 2023-2025, EMNLP 2023, ICLR 2024-2026, CVPR 2024-2026, ICCV 2025, ECCV 2026, TMLR 2024-2026, AAAI 2024-2026

Extracurricular Activities

• President, Statistical Analysis study club, SKKU [2016.09 ~ 2017.12]