Welcome!

I’m a Principal Scientist at NVIDIA, driving research and productization of LLMs, VLMs, and VLAs to tackle real-world challenges in autonomous driving. My work focuses on BEV perception, online mapping, end-to-end self-driving models, and large-scale synthetic data generation, bridging cutting-edge AI with deployable vehicle systems.

I earned my PhD in Computer Vision at the University of Adelaide and conducted research at the Australian Centre of Robotic Vision. My contributions have been recognized with a Google Scholarship (2012) and an invitation to the Heidelberg Laureate Forum (2013).

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