Jaeyoo Park

Ph.D. Student

Computer Vision Lab

Department of Electrical and Computer Engineering

Seoul National University

bellos1203 (at) snu (dot) ac (dot) kr

[Curriculum Vitae]

About Me

I am a PhD student majoring in computer vision at SNU Computer Vision Lab, advised by Prof. Bohyung Han. I am interested in computer vision and deep learning, with an emphasis on multi-modal understanding and video analysis under limited conditions, such as continual learning, self-supervised learning, and weakly-supervised learning. Recently, I also have been studying representation of text in images as a unique case of multi‑modality, investigating its interaction with visual elements and developing methods for effective extraction and utilization.

News

• [Jul. 2025] I will join 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
    
    
• Research Intern, Naver AI Lab, Naver Cloud
  • June 2024 – November 2024
  • Mentors & Collaborators : Wonjae Kim, Sanghyuk Chun, Sangdoo Yun

Education

• Ph.D. Electrical and Computer Engineering, Seoul National University
  • Sept., 2018 – Current
  • Advisor : Prof. Bohyung Han
    
    
• B.S. Electrical and Computer Engineering, Seoul National University
  • Mar., 2012 – Aug., 2018
  • Military Service (Aug, 2014 – Aug, 2016)

Publications

→ Full list

Emergence of Text Readability in Vision Language Models

Jaeyoo Park, Sanghyuk Chun, Wonjae Kim, Sangdoo Yun, Bohyung Han

In EVAL FoMo Workshop @ CVPR 2025

[[Paper] (Coming Soon)]

Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding

Jaeyoo Park, Jinyoung Choi, Jeonghyung Park, Bohyung Han

In NeurIPS, 2024

[Paper] [arXiv] [Poster] [bibtex]

Cross-Class Feature Augmentation for Class Incremental Learning

Taehoon Kim, Jaeyoo Park, Bohyung Han

In AAAI, 2024,

In CLVision Workshop @ CVPR 2024

[arXiv]

Multi-Modal Representation Learning with Text-Driven Soft Masks

Jaeyoo Park, Bohyung Han

In CVPR, 2023

[Paper] [Supp] [arXiv] [Poster] [bibtex]

Qualcomm Innovation Fellowship Korea 2023 Winner [Link]

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)

[Paper] [Supp] [arXiv] [Code] [bibtex]

Class-Incremental Learning for Action Recognition in Videos

Jaeyoo Park, Minsoo Kang, Bohyung Han

In ICCV, 2021

[Paper] [Supp] [arXiv] [Code] [Poster] [bibtex]

Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud

Seohyun Kim, Jaeyoo Park, Bohyung Han

In NeurIPS, 2020

[Paper] [Supp] [arXiv] [Code] [bibtex]

Learning to Adapt to Unseen Abnormal Activities under Weak Supervision

Jaeyoo Park*, Junha Kim*, Bohyung Han

In ACCV, 2020

[Paper] [Supp] [arXiv] [Code] [bibtex]

(* : equal contribution)

Honors & Awards

• 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
    
    
• Conference Reviewer
  • CVPR, NeurIPS, ECCV, ICCV, ICLR, ICML, and IROS