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.

News

  • [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.
  • [Dec. 2023] Our paper about class-incremental learning has been accepted to AAAI 2024.
  • [Nov. 2023] Our paper, Multi-Modal Representation Learning with Text-Driven Soft Masks, was selected as the winner of Qualcomm Innovative Fellowship Korea 2023.
  • [Aug. 2023] I have been awarded Youlchon AI Star Scholarship.

Work Experience

Education

Publications

→ Full list

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