Quan M. Dao

I am a Research Resident under the supervision of Dr. Tuan Anh Tran at VinAI Research, Vietnam. Besides, I also work closely with Dr. Nguyen Tuan Binh at Department of Mathematics, National University of Singapore. I received a bachelor degree in computer science from Monash University in 2020.

My research interests lie on deep generative model such as GAN, Diffusion and Flow Matching. Besides, I’m also interested in Neural Operator design space which allows models work well under any resolution.

news

Jul 13, 2023	A paper got accepted at ICCV2023
Feb 26, 2023	My first paper got accepted at CVPR2023

selected publications

Wavelet Diffusion Models Are Fast and Scalable Image Generators

Hao Phung*, Quan Dao*, and Anh Tran

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2023

Bib

@inproceedings{Phung_2023_CVPR,
  author = {Phung*, Hao and Dao*, Quan and Tran, Anh},
  title = {Wavelet Diffusion Models Are Fast and Scalable Image Generators},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  month = jun,
  year = {2023},
  pages = {10199-10208},
}

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis

Thanh Van Le*, Hao Phung*, Thuan Hoang Nguyen*, and 3 more authors

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Oct 2023

Bib

@inproceedings{van2023anti,
  title = {Anti-DreamBooth: Protecting users from personalized text-to-image synthesis},
  author = {Van Le*, Thanh and Phung*, Hao and Nguyen*, Thuan Hoang and Dao*, Quan and Tran, Ngoc and Tran, Anh},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  month = oct,
  year = {2023},
}