Vision, Multimodality, and Deep learning
I am VO Minh Duc, a Project Assistant Professor at Nakayama Lab, Grad. School of Information Science and Technology, the University of Tokyo.
I received B.Sc. and M.S. degrees in Computer Science at the University of Science, Vietnam National University Ho Chi Minh City. I received Ph.D. degree in Computer Science at The Graduate University for Advanced Studies (SOKENDAI) (while at National Institute of Informatics (NII)), advised by Prof. Akihiro Sugimoto.
I am collaborating closely with members of our lab as well as external collaborators (see Team). Our current research interests are computer vision and machine learning, including but not limited to image/video synthesis (GAN, Diffusion model), style transfer, vision and language, image recognition, debiasing, transfer learning, domain adaptation, and deep learning.
We want to be able to build the perfect instruments to answer the scientific questions we deem most important (see our Researchs, and Publications).
Sep 2024
1 paper accepted to NeurIPS 2024.
August 2024
Attending ACL 2024 in Bangkok, Thailand.
Attending MIRU 2024 in Kumamoto, Japan.
July 2024
1 paper accepted to ECCV 2024.
We will organize a workshop “Large Vision – Language Model Learning and Applications” at ACCV 2024.
June 2024
Attending CVPR 2024 in Seattle, US.
Award: First Workshop on Test-Time Adaptation: Model, Adapt Thyself! (MAT), Community Track, CVPR 2024.
2 CVPR workshop paper, 1 main conference paper.
Mar 2024
Award: 委員特別賞. 言語処理学会第30回年次大会(NLP2024).
1 paper accepted to 2024 IEEE CVPR workshop on fair, data-efficient, and trusted computer vision.
Feb 2024
1 paper accepted to CVPR 2024.
JSPS Grant-in-Aid for Early-Career Scientists (KAKENHI) FY 2024 - 2025.
The National Institute of Informatics (Japan) collaborative research fund FY 2024.