Past Projects:

The Canadian Research Landscape Project:

  • A web application which
    • Visualizes the research data from NSERC in a simple and effective manner;
    • Creates a variety of visualizations to highlight trends and extremities;
    • Provides a scalable project to be continuously developed in the future.

Benchmarking OpenCV trackers:

  • A framework which benchmarks the performance of OpenCV built-in trackers.

Visual Recognition (CMPUT 328) Final Project:

  • Proposed and implemented a novel deep neural network which predits both double digitsand IOU within the same architecture;
  • Achieved the highest prediction accuracy among class with 99.7% all true accuracy and 88.6% IOU accuracy.