Dongwan Kim
About
Hi! I'm a 3rd year PhD student at the SNU Computer Vision Lab, advised by Bohyung Han. I'm interested in problems encountered in real-world applications of deep neural networks, such as continual learning, unsupervised domain adaptation and domain generalization.
Contact: dongwan123 (at) gmail (dot) com
Updates
[February 2023] My paper on the stability-plasticity dilemma in class-incremental learning will be presented at CVPR 2023.
[November 2022] Our paper, UniSeg, was selected for the Qualcomm Innovation Fellowship Korea 2022.
[July 2022] Our paper on training a single semantic segmentation model from multiple datasets has been accepted at ECCV 2022.
Work Experience
Research Internship at NEC Labs America
June 2020 ~ September 2020
Research Internship at Naver Labs
August 2018 ~ March 2019
Publications (Chronological order)
On the Stability-Plasticity Dilemma of Class-Incremental Learning
Dongwan Kim, Bohyung Han
CVPR 2023
[arXiv (coming soon!)] [code (coming soon!)]
Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, and Bohyung Han
ECCV 2022
Sanghyeok Chu, Dongwan Kim, and Bohyung Han
NeurIPS 2021
Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, and Bohyung Han
ECCV 2020
Seungmin Lee*, Dongwan Kim*, Namil Kim, and Seong-Gyun Jeong
(* denotes equal contribution)
ICCV 2019