Binh-Son Hua

Research Scientist, VinAI

 binhson.hua (at) gmail

 Google Scholar

I will be joining Trinity College Dublin, Ireland as an Assistant Professor from August 2023.

I am actively looking for PhD students to join my group to work on photorealistic rendering problems in 3D computer graphics and computer vision.

My current research interests are in the intersection of computer vision and computer graphics, where I focus on developing deep learning techniques for effective 3D deep learning and realistic image synthesis.

I was a Research Scientist at VinAI, the first AI research lab in Vietnam with a focus on fundamental research in 2020-2023. Before that, I did my postdoctoral research on physically based rendering with Dr. Toshiya Hachisuka at the University of Tokyo, and on 3D deep learning with Dr. Sai-Kit Yeung at Singapore University of Technology and Design. I received my PhD at National University of Singapore in 2015, working with Dr. Kok-Lim Low.


  • Mar 01, 2023: One paper accepted to CVPR 2023 (3D point cloud instance segmentation)

  • Oct 11, 2022: Two papers accepted to WACV 2023 (GAN inversion for 3D point clouds, single-image HDR reconstruction) and a paper accepted to ACCV 2022 (self-supervised point cloud learning with multiple-view rendering).

  • July 04, 2022: Four papers accepted to ECCV 2022 with the following topics: neural scene decoration, 4D point cloud reconstruction, text-to-image synthesis, and few-shot video classification.

  • June 17, 2022: A paper about style transfer for architectural photographs accepted to ICCP 2022.

  • Mar 26, 2022: Two co-author papers about Monte Carlo rendering accepted to SIGGRAPH North America 2022.

  • Mar 03, 2022: A paper on GAN inversion accepted to CVPR 2022.

  • Feb 14, 2022: An extended version of RIConv++, a simple rotation invariant convolution for point clouds, accepted to IJCV journal 2022.

  • Oct 20, 2021: A co-author paper on neural sequence transformation was presented at Pacific Graphics 2021 (Computer Graphics Forum).

  • Sep 29, 2021: A paper on few-shot learning accepted at NeurIPS 2021.

  • July 23, 2021: Two papers on 3D point cloud learning accepted at ICCV 2021.

  • June 12, 2021: Two papers on medical segmentation are accepted at MICCAI 2021.

  • Jan 13, 2021: A paper on network pruning (that retraining with proper learning rate schedules matters) is accepted at ICLR 2021!


Last update: Oct 27, 2022