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
[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.
[July 2022] Our paper on training a single semantic segmentation model from multiple datasets has been accepted at ECCV 2022.
Research Internship at NEC Labs America
June 2020 ~ September 2020
Research Internship at Naver Labs
August 2018 ~ March 2019
Publications (Chronological order)
Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, and Bohyung Han
Sanghyeok Chu, Dongwan Kim, and Bohyung Han
Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, and Bohyung Han
Seungmin Lee*, Dongwan Kim*, Namil Kim, and Seong-Gyun Jeong
(* denotes equal contribution)