About Me

Hi, I’m Dohwan Ko, a Ph.D. student at Machine Learning and Vision Lab (MLV) in Korea University, under the supervision of Prof. Hyunwoo J. Kim. I received my B.S. degree in Computer Science and Engineering in Korea University at Feb. 2021. My research interest includes:

Multi-modal Understanding
Video Understanding
Foundation Models
Large Language Models
Self-supervised Learning

Here is my CV. (last update: Jun. 2025).

Education

M.S & Ph.D in Computer Science and Engineering at Korea University.
Mar. 2021 - Current
B.S. in Computer Science and Engineering at Korea University.
Mar. 2017 - Feb. 2021

Work Experiences

Meta
Menlo Park, CA, USA (Mar. 2025 - Jun. 2025)
Research Scientist Intern in Meta Reality Lab.
NEC Labs America
San Jose, CA, USA (Jun. 2024 - Aug. 2024)
Research Scientist Intern in Media Analytics Team.
NAVER
Seongnam, South Korea (Jul. 2020 - Aug. 2020)
Internship at User Feedback Platform.

News

Jun. 2025 Our paper Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval has been accepted to ICCV 2025!

Sep. 2024 Our paper LLaMo: Large Language Model-based Molecular Graph Assistant has been accepted to NeurIPS 2024!

Oct. 2023 Our paper Large Language Models are Temporal and Causal Reasoners for Video Question Answering has been accepted to EMNLP 2023!

Jul. 2023 Our paper Open-vocabulary Video Question Answering (OVQA) has been accepted to ICCV 2023!

Feb. 2023 Our paper Meta Loss Transformer (MELTR) has been accepted to CVPR 2023!

Nov. 2022 Our paper Randomly Shuffled Convolution for Self-Supervised Representation Learning (Croffle) has been accepted to Information Sciences!

Mar. 2022 Our paper Video-Text Representation Learning via Differentiable Weak Alignment (VT-TWINS) has been accepted to CVPR 2022!

Oct. 2021 Our paper Search-and-Attack: Temporally Sparse Adversarial Perturbations on Videos has been accepted to IEEE Access!