Chris Dongjoo Kim

Hi~ I am a researcher at Ai2, currently focusing on large multimodal models at the intersection of language and physical space, building AI that not only understands the world, but helps us act within it.

I obtained my Ph.D and M.S advised by Professor Gunhee Kim at Seoul National University, and my B.S. in Computer Science and Economics at the University of Toronto. The work during my Ph.D was supported by fellowships from Qualcomm, Naver, and Yulchon.

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


Selected Publications

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding

Christopher Clark*, Jieyu Zhang*, Zixian Ma*, Jae Sung Park, Mohammadreza Salehi, Rohun Tripathi, Sangho Lee, Jason Ren, Chris Dongjoo Kim, Yinuo Yang, Vincent Shao, Yue Yang, Weikai Huang, Ziqi Gao, Taira Anderson, Jianrui Zhang, Jitesh Jain, George Stoica, Winston Han, Ali Farhadi, Ranjay Krishna. (*equal contribution, core contributor)

Technical Report, 2025.

SAGE

SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning

Jitesh Jain, Jialuo Li, Zixian Ma, Jieyu Zhang, Chris Dongjoo Kim, Sangho Lee, Rohun Tripathi, Tanmay Gupta, Christopher Clark^ and Humphrey Shi^ (^: equal advising)

Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

ReSpec

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.

ConFrag

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.

SPR

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.

PRS

Imbalanced Continual Learning with Partitioning Reservoir Sampling

Chris Dongjoo Kim, Jinseo Jeong and Gunhee Kim

European Conference on Computer Vision (ECCV), 2020.

VLAE

Variational Laplace Autoencoders

Yookoon Park, Chris Dongjoo Kim and Gunhee Kim

International Conference on Machine Learning (ICML), 2019.

AudioCaps

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.

TGIF-QA

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.

GAP

Generative Adversarial Parallelization

Jiwoong Im, He Ma, Chris Dongjoo Kim, Graham Taylor

Preprint, 2017.

GRAN

Generating Images with Recurrent Adversarial Networks

Jiwoong Im, Chris Dongjoo Kim, Hui Jiang and Roland Memisevic

Preprint, 2016.


Industry Experience

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


Awards & Grants

  • Seoul National University CSE Best Ph.D Thesis Award
  • YoulChon AI Star Fellowship
  • Naver Ph.D. Fellowship
  • Seoul National University CSE Best Masters Thesis Award
  • Qualcomm Innovation Fellowship
  • Seoul National University Global Scholarship – Graduate Student Scholarship (Full tuition)
  • Microsoft Research Asia (MSRA) Collaborative Research 2019 Award
    Dr. Jingdong Wang, Dr. Jianlong Fu, Dr. Nan Duan
  • Google Travel Grant – Conference Travel Grant (NAACL)