Dongwan Kim
About
Hi! I'm a 4th 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, domain adaptation/generalization, and efficient architectures.
Contact: dongwan123 (at) gmail (dot) com
Updates
[March 2024] One paper on image denoising will be presented at CVPR 2024. Details coming soon.
[February 2023] Our 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.
Work Experience
Research Internship at NEC Labs America
June 2020 ~ September 2020
Advisor: Yi-Hsuan Tsai
May 2023 ~ August 2023
Advisor: Yumin Suh
Research Internship at Naver Labs
August 2018 ~ March 2019
Publications (Chronological order)
Dongwan Kim, Bohyung Han
CVPR 2023
Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, and Bohyung Han
ECCV 2022
Recipient of the Qualcomm Innovation Fellowship Korea 2022 Award
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
Review Experience
Conferences
CVPR, ICCV, ECCV, NeurIPS
Journals
TPAMI