I am a research fellow at the Australian Institute for Machine Learning (AIML), the University of Adelaide. My research interests lie in the intersection of machine learning and computer vision. Specific topics include: object pose estimation, differentiable geometric optimisation, adversarial machine learning and AI application on edge devices.
PhD in Artificial Intelligence, 2019
MSc in Statistics, 2013
The University of Queensland
BBM in E-Commerce, 2006
Sun Yat-Sen University
We propose novel techniques to make object pose estimation remarkably robust against occlusions.
We propose BPnP, a network module for backpropagation through a PnP optimizer, as if the optimizer were a differentiable function.