Ph.D. Candidate
I recently defended my Ph.D. dissertation and am currently open to full-time industry Research Scientist / Applied Scientist opportunities starting in Fall 2026.
About Me
I am a PhD candidate majoring in computer vision at SNU Computer Vision Lab, advised by Prof. Bohyung Han. My research focuses on unifying multiple modalities and tasks through shared multimodal representations, with particular interest in vision-language models, visual text and document understanding, and multimodal understanding and generation. This direction builds on my broader work on efficient learning under limited supervision, including continual, self-supervised, and weakly supervised learning in video and incremental learning settings. My recent work extends this perspective to unified multimodal models, with a focus on connecting understanding and generation pathways within a common framework.
News
- [June 2026] I successfully defended my Ph.D. dissertation.
- [May. 2026] I am selected as a Gold Reviewer in ICML 2026.
- [Oct. 2025] I am selected as a Top Reviewer in NeurIPS 2025.
- [Jul. 2025] I joined Amazon AGI as a applied scientist intern.
- [Apr. 2025] Our paper about text readability of vision-language models has been accepted to EVAL-FoMo 2 Workshop at CVPR 2025.
- [Sept. 2024] Our paper about OCR-free document understanding has been accepted to NeurIPS 2024.
- [June 2024] I joined Naver AI Lab as a research intern.
- [June 2024] I am selected as an Outstanding Reviewer in CVPR 2024.
Work Experience
- Applied Scientist Intern, Amazon AGI, Amazon
- July 2025 – October 2025
- Manager : Davide Modolo
- Mentors : Yanbei Chen, Siddharth Choudhary
- Research Intern, Naver AI Lab, Naver Cloud
- June 2024 – November 2024
- Mentors : Wonjae Kim, Sanghyuk Chun, Sangdoo Yun
Education
- Ph.D. Electrical and Computer Engineering, Seoul National University
- Sept., 2018 – Aug. 2026 (expected)
- Advisor : Prof. Bohyung Han
- Thesis: Enriching and Leveraging Multimodal Representations for Vision–Language Understanding and Generation
- Committee: Prof. Taesup Moon, Prof. Jonghyun Choi, Prof. Seon Joo Kim, Prof. Seunghoon Hong
- B.S. Electrical and Computer Engineering, Seoul National University
- Mar., 2012 – Aug., 2018
- Military Service (Aug, 2014 – Aug, 2016)
Publications
Structural Self-Teaching for Compositional Generation in Unified Multimodal Models
Jaeyoo Park, Bohyung Han
Under Review
[Paper (Coming soon)]
DiVaTe: A Benchmark for Semantic Contamination in Visual Text Rendering
Yoonho Kim*, Jaeyoo Park*, Wonjae Roh, Bohyung Han
Under Review
[Paper (Coming soon)]
(* : equal contribution)
Emergence of Text Readability in Vision Language Models
Jaeyoo Park, Sanghyuk Chun, Wonjae Kim, Sangdoo Yun, Bohyung Han
In EVAL FoMo Workshop @ CVPR 2025
Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding
Jaeyoo Park, Jinyoung Choi, Jeonghyung Park, Bohyung Han
In NeurIPS, 2024
Cross-Class Feature Augmentation for Class Incremental Learning
Taehoon Kim, Jaeyoo Park, Bohyung Han
In AAAI, 2024,
In CLVision Workshop @ CVPR 2024
[arXiv]
End-to-End Learning for Weakly Supervised Video Anomaly Detection using Absorbing Markov Chain
Jaeyoo Park*, Junha Kim*, Bohyung Han
In CVIU (Impact Factor : 4.886), 2023
[Paper]
(* : equal contribution)
Class-Incremental Learning by Knowledge Distillation With Adaptive Feature Consolidation
Minsoo Kang, Jaeyoo Park, Bohyung Han
In CVPR, 2022 (Oral Presentation)
Class-Incremental Learning for Action Recognition in Videos
Jaeyoo Park, Minsoo Kang, Bohyung Han
In ICCV, 2021
Honors & Awards
- Gold Reviewer, ICML 2026
- Top Reviewer [Link], NeurIPS 2025
- Outstanding Reviewer [Link], CVPR 2024
- Qualcomm Innovative Fellowship Korea 2023 Winner [Link], Qualcomm Technologies, Inc., 2023
- Youlchon AI Star Scholarship [Link], Youlchon Foundation & SNU AI Institute, 2023
- Outstanding Reviewer [Link], ICCV 2021
Academic Services
- Journal Reviewer
- TPAMI, CVIU, MVAP
- TPAMI, CVIU, MVAP
- Conference Reviewer
- CVPR, NeurIPS, ECCV, ICCV, ICLR, ICML, and IROS