Kyle Gao

PhD Candidate

Research Interests

My thesis research is focused on leveraging interdisciplinary techniques from computer vision, computer graphics, and geographic information systems (GIS) to transform aerial and satellite images into detailed 3D representations of urban landscapes.

I also perform more general remote sensing based 2D and 3D computer vision research on the analysis of 2D images including object detection, classification and segmentation, as well as 3D point cloud object detection, classification, and segmentation. Sometimes, both modalities are combined to solve remote-sensing problems.

Education

  • Master of Science, Accelerator Physics program, University of Victoria, 2017-2020
  • Honours Bachelors degree in Mathematics, Mathematical Physics Co-op program, University of Waterloo, 2011-2016

Publications

Google Scholar