Publications

International Conference Publications

VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement
Seohyun Lee*, Seoung Choi*, Dohwan Ko*, Jongha Kim, Hyunwoo J. Kim
ECCV 2026
@inproceedings{lee2026videosearchr1,
  title={VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement},
  author={Lee, Seohyun and Choi, Seoung and Ko, Dohwan and Kim, Jongha and Kim, Hyunwoo J.},
  booktitle={ECCV},
  year={2026}
}

MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models
Dohwan Ko, Jinyoung Park, Seoung Choi, Sanghyeok Lee, Seohyun Lee, Hyunwoo J. Kim
CVPR 2026
@inproceedings{ko2026moe,
  title={MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models},
  author={Ko, Dohwan and Park, Jinyoung and Choi, Seoung and Lee, Sanghyeok and Lee, Seohyun and Kim, Hyunwoo J},
  booktitle={CVPR},
  year={2026}
}

DocPrune: Efficient Document Question Answering via Background, Question, and Comprehension-aware Token Pruning
Joonmyung Choi, Sanghyeok Lee, Jongha Kim, Sehyung Kim, Dohwan Ko, Jihyung Kil, Hyunwoo J. Kim
CVPR 2026
@inproceedings{choi2026docprune,
  title={DocPrune: Efficient Document Question Answering via Background, Question, and Comprehension-aware Token Pruning},
  author={Choi, Joonmyung and Lee, Sanghyeok and Kim, Jongha and Kim, Sehyung and Ko, Dohwan and Kil, Jihyung and Kim, Hyunwoo J},
  booktitle={CVPR},
  year={2026}
}

Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval
Dohwan Ko*, Ji Soo Lee*, Minhyuk Choi, Zihang Meng, Hyunwoo J. Kim
ICCV 2025 Highlight (top 9.7%)
@inproceedings{ko2025bidirectional,
  title={Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval},
  author={Ko, Dohwan and Lee, Ji Soo and Choi, Minhyuk and Meng, Zihang and Kim, Hyunwoo J},
  booktitle={ICCV},
  year={2025}
}

LLaMo: Large Language Model-based Molecular Graph Assistant
Jinyoung Park, Minseong Bae, Dohwan Ko, Hyunwoo J. Kim
NeurIPS 2024
@inproceedings{park2024llamo,
  title={LLaMo: Large Language Model-based Molecular Graph Assistant},
  author={Park, Jinyoung and Bae, Minseong and Ko, Dohwan and Kim, Hyunwoo J},
  booktitle={NeurIPS},
  year={2024}
}

flipped_vqa
Large Language Models are Temporal and Causal Reasoners for Video Question Answering
Dohwan Ko*, Ji Soo Lee*, Wooyoung Kang, Byungseok Roh, Hyunwoo J. Kim
EMNLP 2023 Main
@inproceedings{ko2023large,
  title={Large Language Models are Temporal and Causal Reasoners for Video Question Answering},
  author={Dohwan Ko and Ji Soo Lee and Wooyoung Kang and Byungseok Roh and Hyunwoo J. Kim},
  booktitle={EMNLP},
  year={2023}
}

ovqa
Open-Vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models
Dohwan Ko, Ji Soo Lee, Miso Choi, Jaewon Chu, Jihwan Park, Hyunwoo J. Kim
ICCV 2023
@inproceedings{ko2023open,
  title={Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models},
  author={Ko, Dohwan and Lee, Ji Soo and Choi, Miso and Chu, Jaewon and Park, Jihwan and Kim, Hyunwoo J},
  booktitle={ICCV},
  year={2023}
}

meltr
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models
Dohwan Ko*, Joonmyung Choi*, Hyeong Kyu Choi, Kyoung-Woon On, Byungseok Roh, Hyunwoo J. Kim
CVPR 2023
@inproceedings{ko2023melrt,
  title={MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models},
  author={Ko, Dohwan and Choi, Joonmyung and Choi, Hyeong Kyu and On, Kyoung-Woon and Roh, Byungseok and Kim, Hyunwoo J},
  booktitle={CVPR},
  year={2023}
}

vt_twins
Video-Text Representation Learning via Differentiable Weak Temporal Alignment
Dohwan Ko, Joonmyung Choi, Juyeon Ko, Shinyeong Noh, Kyoung-Woon On, Eun-Sol Kim, Hyunwoo J. Kim
CVPR 2022
@inproceedings{ko2022video,
  title={Video-Text Representation Learning via Differentiable Weak Temporal Alignment},
  author={Ko, Dohwan and Choi, Joonmyung and Ko, Juyeon and Noh, Shinyeong and On, Kyoung-Woon and Kim, Eun-Sol and Kim, Hyunwoo J},
  booktitle={CVPR},
  year={2022}
}

International Journal Publications

croffle
Randomly Shuffled Convolution for Self-Supervised Representation Learning
Youngjin Oh*, Minkyu Jeon*, Dohwan Ko, Hyunwoo J. Kim
Information Sciences 2023
@article{oh2023randomly,
  title={Randomly shuffled convolution for self-supervised representation learning},
  author={Oh, Youngjin and Jeon, Minkyu and Ko, Dohwan and Kim, Hyunwoo J},
  journal={Information Sciences},
  year={2023}
}

search_and_attack
Search-and-Attack: Temporally SparseAdversarial Perturbations on Videos
Hwan Heo*, Dohwan Ko*, Jaewon Lee*, Youngjoon Hong, Hyunwoo J. Kim
IEEE Access 2021
@article{heo2021search,
  title={Search-and-attack: temporally sparse adversarial perturbations on videos},
  author={Heo, Hwan and Ko, Dohwan and Lee, Jaewon and Hong, Youngjoon and Kim, Hyunwoo J},
  journal={IEEE Access},
  year={2021}
}

Preprints

ST-VLM: Kinematic Instruction Tuning for Spatio-Temporal Reasoning in Vision-Language Models
Dohwan Ko*, Sihyeon Kim*, Yumin Suh, Vijay Kumar, Minseo Yoon, Manmohan Chandraker, Hyunwoo J. Kim
arXiv preprint 2025
@article{ko2025st,
  title={St-vlm: Kinematic instruction tuning for spatio-temporal reasoning in vision-language models},
  author={Ko, Dohwan and Kim, Sihyeon and Suh, Yumin and Yoon, Minseo and Chandraker, Manmohan and Kim, Hyunwoo J and others},
  journal={arXiv preprint arXiv:2503.19355},
  year={2025}
}