Dongwan Kim
About
Hi! I'm a 5th 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) snu (dot) ac (dot) kr
Updates
[October 2024] I will be joining Amazon Visual Search as an Applied Scientist Intern.
[September 2024] I was selected as a recipient of the Youlchon AI Stars scholarship.
[March 2024] One paper on image denoising will be presented at CVPR 2024.
[February 2023] Our paper on the stability-plasticity dilemma in class-incremental learning will be presented at CVPR 2023.
Work Experience
(Ongoing) Applied Scientist Intern at Amazon Visual Search & AR
June 2024 ~ Current
Mentors: Viresh Ranjan, Takashi Nagata, Arnab Dhua
Research Internship at NEC Labs America
June 2020 ~ September 2020
Mentor: Yi-Hsuan Tsai
May 2023 ~ August 2023
Mentor: Yumin Suh
Research Internship at Naver Labs
August 2018 ~ March 2019
Publications (Chronological order)
Seonguk Seo, Dongwan Kim, and Bohyung Han
(To appear) WACV 2025
Donghun Ryou, Inju Ha, Hyewon Yoo, Dongwan Kim, and Bohyung Han
CVPR 2024
Yumin Suh, Dongwan Kim, Abhishek Aich, Samuel Schulter, Jong-Chyi Su, Bohyung Han, Manmohan Chandraker
CVPRW 2024 (Workshop on Efficient Deep Learning for Computer Vision)
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