Welcome!

I was born on a tranquil rubber and coffee farm in VietNam, surrounded by the awe-inspiring beauty of nature. My journey into the realm of science and technology began later in life, as I didn’t have access to a computer and the internet until I reached the age of 20. Fueled by determination and a thirst for knowledge, I set forth on a path of exploration and innovation.

Today, I take immense pride in my role as a Principal Scientist at NVIDIA, a renowned company celebrated for its state-of-the-art technology. My journey stands as a testament to the belief that hard work and self-confidence can lead to remarkable success, regardless of one’s starting point.

My work at NVIDIA revolves around enabling vehicles to drive autonomously. Collaborating with a talented team of scientists and engineers, we are dedicated to pioneering and developing real-time machine learning models and algorithms for 4D visual perception, which aids in the advancement of self-driving technology.

Prior to my time at NVIDIA, I conducted research at the Australian Centre of Robotic Vision and earned my PhD in Computer Vision from the University of Adelaide in 2014. In 2013, I had the privilege of being one of 200 young researchers from around the world invited to a prestigious event known as the Heidelberg Laureate Forum. In 2012, Google recognized my contributions to computer vision with a special scholarship.

Research

I engage in research within the domains of computer vision and machine learning. My work has been featured in prestigious journals and conferences in these fields, including TPAMI, CVPR, ICCV, ECCV, NIPS, and ICRA. Notably, my research has garnered over 2000 citations as of December 2022, reflecting its significant impact in the academic community.

Internship at NVIDIA

If you possess a solid foundation in computer vision and machine learning and share a keen enthusiasm for tackling challenges in autonomous driving, please don’t hesitate to reach out to me.

News

• April 2024: I am promoted to Principal Scientist at NVIDIA.
• Dec 2023: NVAutoNet accepted to WACV 24. Arxiv. Video
• May 2023: DPPD: Deformable polar polygon object detection accepted to CVPRW 23. PDF
• Dec 2020: Open Set Instance Segmentation Code is now online.
• May 2020: Intersection Pose estimation for autonmous driving.
• November 2018: 1 paper accepted to WACV18.
• October 2018: Appointed as Associate Editor for IEEE Robotics and Automation Letters.
• September 2018: 1 paper accepted to ACCV 2018.
• July 2018: 2 papers accepted to ECCV 2018, 1 paper accepted to BMVC 2018 (oral).
• June 2018: I am excited to join NVIDIA as a Senior Computer Vision Scientist.
• We are organising a Real-World Challenges and New Benchmarks for Deep Learning in Robotic Vision workshop, in conjunction with CVPR 2018.
• I am going to give a tutorial about Semantic Mapping at Robotic Vision Summer School 2018 (RVSS).
• 1 paper accepted to Journal: Methods in Ecology and Evolution
• 3 papers accepted to ICRA 2018