Ph.D. Student
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.
Education
- Ph.D. Electrical and Computer Engineering, Seoul National University
- Sep, 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
Cross-Class Feature Augmentation for Class Incremental Learning
Taehoon Kim, Jaeyoo Park, Bohyung Han
In AAAI, 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
- 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