Jaeseok Byun

Ph.D student at Seoul National University
(M.IN.D lab , Advisor : Taesup Moon)
wotjr3868 [at] snu.ac.kr
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I'm a graduate research assistant working towards developing practical AI algorithms in resource-constrained systems. I worked as a research intern at MSRA. My primary research focus lies in the image denoising and multi-modal learning (e.g., vision-language).

Publications

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)
- arxiv preprint, 2024.

MAFA: Managing False Negatives for Vision-Language Pre-training

- Jaeseok Byun*, Dohoon Kim*, and Taesup Moon. (*: Equal Contribution)
- IEEE Conference on Computer Vision and Paern Recognition (CVPR), 2024.

GRIT-VLP: Grouped Mini-batch Sampling for Vision-Language Pre-training

- Jaeseok Byun*, Taebaek Hwang*, Jianlong Fu, and Taesup Moon. (*: Equal Contribution)
- European Conference on Computer Vision (ECCV), 2022.

FBI-Denoiser: Fast Blind Image Denoiser for Source-Dependent Noise.

- Jaeseok Byun*, Sungmin Cha*, and Taesup Moon. (*: Equal Contribution)
- IEEE Conference on Computer Vision and Paern Recognition (CVPR), 2021. (Oral Presentation)

Learning Blind Pixelwise Aﬃne Image Denoiser with Single Noisy Images

- Jaeseok Byun and Taesup Moon
- IEEE Signal Processing Leers (SPL, IF=3.268), 2020.

Education

Ph.D [2021.09 ~ Current ]

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

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

SBS foundation scholarship [06.2022]
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 2023-2024, NeurIPS 2023-2024, EMNLP 2023, ICLR 2024, CVPR 2024

Extracurricular Activities

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

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