CV
Education
- April 2022 - Present: Saarland University
- M.Sc. in Visual Computing.
- Projects:
- Computer Graphics: Lightwave - Ray Tracer, first prize in the rendering competition.
- High-Level Computer Vision: A damper for the overfitting problem in training INR for Image Denoising.
Aug 2017 – Aug 2021: Ho Chi Minh city University of Technology
Work experience
- Oct 2022 - Present: Research Assistant in MPI-INF
- Novel View Synthesis.
Oct 2021 - April 2022: Research Engineer at Graphicsminer
SLAM (Simultaneous Localization and Mapping) for smartphones.
- Real-Time 3D Tracking
- Applied Gauss-Newton algorithm to optimize a region-based level-set energy function w.r.t a 6DoF object pose parameterized by a twist coordinate (Demo: Single-Object Tracking, Multiple-Object Tracking).
- Real-time Multiple-view Monocular Camera 3D Reconstruction.
- Applied continuous max-flow algorithm to optimize a Bayesian inference-based energy function w.r.t a voxel grid shape representation (Demo).
- Accelerated the algorithm with GLSL.
- 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
- Neural Image Denoising for Smartphones
- Proposed and implemented a denoising model with 12MB/s processing speed on edge devices
- Self-supervised CNN-based Image Denoising
- Jun 2020 - Oct 2020: Intern at Graphicsminer
- Real-time video stabilization (reached 11 Fps on Pixel 1).
Skills
- Proficient: Python, C/ C++, CUDA, Java, GLSL
- Frameworks/ Tools: Tensorflow, Torch, OpenCV, OpenGL, Blender
- Familiar: C#, Matlab
- Language:
- IELTS 7.0 (Expire on Jun 2024)
- TOEIC 825 (Expire on Aug 2022)
