Ph.D in Computer Science and Engineering
Seoul National University

M.S in Computer Science and Engineering
Seoul National University

B.S. in Computer Science and Economics
University of Toronto

Email : cdjkim.ai at gmail dot com

Hi, I am working on large omnimodal models at Ai2.
I obtained by Ph.D and M.S advised by Professor Gunhee Kim, at Seoul National University.

My interest is in making machine reasoning accountable to the world—grounded in vision and language. The current emphasis is on the data needed to support this behavior at scale.

Personal 🇨🇦

I am a Canadian who loves nature and especially fond of animals. On my spare time, I like to swim and do CrossFit 🏋🏻

ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
Chris Dongjoo Kim*, Jihwan Moon*, Sangwoo Moon, Heeseung Yun, Sihaeng Lee, Aniruddha Kembhavi, Soonyoung Lee, Gunhee Kim, Sangho Lee, and Christopher Clark. (*equal contribution)
Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
paper / code

Sample Selection via Contrastive Fragmentation for Noisy Label Regression
Chris Dongjoo Kim*, Sangwoo Moon*, Jihwan Moon, Dongyeon Woo and Gunhee Kim (*equal contribution)
Conference on Neural Information Processing Systems (NeurIPS), 2024.
paper / code

Continual Learning on Noisy Data Streams via Self-Purified Replay
Chris Dongjoo Kim*, Jinseo Jeong*, Sangwoo Moon and Gunhee Kim (*equal contribution)
International Conference on Computer Vision (ICCV), 2021.
paper / code

Imbalanced Continual Learning with Partitioning Reservoir Sampling
Chris Dongjoo Kim, Jinseo Jeong and Gunhee Kim
European Conference on Computer Vision (ECCV), 2020.
paper / code

Variational Laplace Autoencoders
Yookoon Park, Chris Dongjoo Kim and Gunhee Kim
International Conference on Machine Learning (ICML), 2019.
paper / code

AudioCaps: Generating Captions for Audios in The Wild
Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee and Gunhee Kim
North American Chapter of the Association for Computational Linguistics (NAACL), 2019. Oral presentation.
project page / paper / code & dataset

Video Question Answering with Spatio-Temporal Reasoning
Yunseok Jang, Yale Song, Chris Dongjoo Kim, Youngjae Yu, Youngjin Kim and Gunhee Kim
International Journal of Computer Vision (IJCV), 2019.
paper / code

Generative Adversarial Parallelization
Jiwoong Im, He Ma, Chris Dongjoo Kim, Graham Taylor
Preprint, 2017.
paper

Generating images with recurrent adversarial networks
Jiwoong Im, Chris Dongjoo Kim, Hui Jiang and Roland Memisevic
Preprint, 2016.
paper

Allen Institute for Artificial Intelligence
Feb. 2024 - Present

LG AI Research
Sep. 2024 - Apr. 2025

NALBI
Mar. 2021 - Sep. 2021

LUNIT
Sep. 2016 - Dec. 2017

Seoul National University CSE Best Ph.D Thesis Award
Award (2025)

YoulChon AI Star Fellowship
Grant (2023)

Naver Ph.D. Fellowship
Grant (2021)

Seoul National University CSE Best Masters Thesis Award
Award (2021)

Qualcomm Innovation Fellowship
Grant (2020)

Seoul National University Global Scholarship: Graduate Student Scholarship
Full tuition (2019 - 2020)

Microsoft Research Asia (MSRA) Collaborative Research 2019 Award: Collaborative Research Award
Dr. Jingdong Wang, Dr. Jianlong Fu, Dr. Nan Duan (2019)

Google Travel Grant: Conference Travel Grant
NAACL (2019)