I am a Research Scientist at VinAI, the first AI research lab in Vietnam with a focus on fundamental research.
My research interests are in computer graphics and computer vision with the focus on 3D deep learning and physically based image synthesis.
Before 2020, I worked as a postdoc with Dr. Toshiya Hachisuka for physically based rendering at the University of Tokyo, with Dr. Sai-Kit Yeung for 3D deep learning at Singapore University of Technology and Design. I completed my PhD at National University of Singapore in 2015, under the supervision of Dr. Kok-Lim Low.
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!
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
MICCAI 2021
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
ICCV 2019 (Oral)
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
ICCV 2019 (Oral)
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds
with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
CVPR 2019 (Oral)
Last update: July 28, 2021