Search-and-Attack: Temporally Sparse Adversarial Perturbations on Videos. - Hwan Heo; Dohwan Ko; Jaewon Lee; Youngjoon Hong; Hyunwoo J. Kim (IEEE Access, 2021)

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)

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)

Large Language Models are Temporal and Causal Reasoners for Video Question Answering. - Dohwan Ko; Ji Soo Lee; Woo-Young Kang; Byungseok Roh; Hyunwoo Kim (EMNLP, 2023)

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)

Large Language Models are Temporal and Causal Reasoners for Video Question Answering. - Dohwan Ko; Ji Soo Lee; Woo-Young Kang; Byungseok Roh; Hyunwoo J. Kim (CoRR, 2023)

Randomly shuffled convolution for self-supervised representation learning. - Youngjin Oh; Minkyu Jeon; Dohwan Ko; Hyunwoo J. Kim (Inf. Sci., 2023)

LLaMo: Large Language Model-based Molecular Graph Assistant. - Jinyoung Park; Minseong Bae; Dohwan Ko; Hyunwoo J. Kim (NeurIPS, 2024)

ST-VLM: Kinematic Instruction Tuning for Spatio-Temporal Reasoning in Vision-Language Models. - Dohwan Ko; Sihyeon Kim; Yumin Suh; Vijay Kumar B. G; Minseo Yoon; Manmohan Chandraker; Hyunwoo J. Kim (CoRR, 2025)

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 (CoRR, 2025)