CV

Education

Aug 2017 – Aug 2021: Ho Chi Minh city University of Technology
- B.E. in Computer Science (GPA: 8.58 / 10.0).
- Bachelor Thesis: Image Denoising for Smartphone Cameras.
  Output images of our deep learning network can reach the same quality as that of current state of the art methods (PSNR ~ 39 in SIDD and DND) but processing time on mobile phone chip sets is faster 100 times than others.

Oct 2021 - Present: Research Engineer at Graphicsminer
- Working on SLAM (Simultaneous Localization and Mapping) on smartphone.
- Real-Time 3D Tracking on Android.
  - Estimating 6 DOF pose of a rigid object relative to the camera with only an input RGB image (Demo: Single-Object Tracking, Multiple-Object Tracking).
  - Reached 20 fps on Snap 865.
- Real-Time 3D Reconstruction on Android.
  - Creating a 3D model based on RGB image sequence by only using smartphone (Demo).
- Real-Time 3D Object Detection on Android.
  - Detecting 3D bounding box of company’s products in AR environment.
Oct. 2020 – Oct. 2021: Undergraduate Research Assistant at HCMUT
- Self-supervised CNN - based Image Denoising
  - Analysed Stein’s unbiased risk estimate and blind spot networks’ architectures
- Image Denoising for Smartphones
  - Proposed and implemented a denoising model processing a 12MB noisy image within 1 second
Jun 2020 - Oct 2020: Intern at Graphicsminer
- Learning Computer Graphic, Computer Vision.
- Implementing real-time video stabilization algorithm on Android (reached 11 Fps on Pixel 1).