Supannee Tanathong

Supannee Tanathong Email and Phone Number

Staff Computer Vision Engineer @ Paddington Robotics
London, GB
Supannee Tanathong's Location
Sheffield, England, United Kingdom, United Kingdom
Supannee Tanathong's Contact Details

Supannee Tanathong personal email

About Supannee Tanathong

• A Computer Vision Research Engineer with 3 years of postdoctoral research experience and over 5 years in large-scale mapping/road surveying and AR/VR industries.• An independent contributor and a strong team player with the ability to work in a fast-paced environment and deliver high-quality outcomes under deadlines.• Demonstrated success in steering research concepts to prototype and product delivery. Past achievements include Gaist’s Surface View, a revolutionary breakthrough in road surveys.• Proficient in large-scale Structure from Motion (SfM), 3D reconstruction and mapping, image-based localisation and tracking, SLAM, camera pose estimation, multi-camera calibration, linear and non-linear optimisation, sensor fusion, gradient-based image stitching, image analysis, and deep learning.• Experienced in handling street-level, mobile, and airborne images and a number of sensors: GPS, IMU, laser scanner, echo sounder (Single Beam Depth Sounder) and LiDAR.• Experience in software development, with proficiency in C++ and working knowledge of Python and MATLAB.• Currently exploring new research areas, particularly Neural Radiance Fields (NeRF) and Latent Diffusion Models (Stable Diffusion).

Supannee Tanathong's Current Company Details
Paddington Robotics

Paddington Robotics

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Staff Computer Vision Engineer
London, GB
Employees:
13
Supannee Tanathong Work Experience Details
  • Paddington Robotics
    Staff Computer Vision Engineer
    Paddington Robotics
    London, Gb
  • Heatly
    Cv And Ml Architect
    Heatly
    Leeds, Gb
  • University Of York
    Visiting Research Fellow
    University Of York Jan 2024 - Present
    York, Gb
    Collaborating on a research project in the VGL group led by Dr. William Smith• Research and develop an algorithm for creating videos using Latent Diffusion models (Stable Diffusion)• Exploring new research areas
  • Snap Inc.
    Computer Vision Research Engineer
    Snap Inc. Oct 2019 - Dec 2023
    Santa Monica, California, Us
    • Researched and implemented algorithms in 3D perception-based computer vision to deliver immersive world transformation AR/VR experience to the Snapchat app.• Developed new features for real-time image localisation and tracking on users’ phones, 3D reconstruction and SLAM, and accurate camera pose estimation.• Engaged in the entire development process, including requirement discussion, synthesising training images, training a model and prototyping AR experiences.
  • Gaist
    Computer Vision Scientist
    Gaist Apr 2018 - Sep 2019
    Skipton, Yorkshire, Gb
    • Applied computer vision to enhance the visualisation of SurfaceView (formerly known as HighwayView, computer vision-based orthomosaic maps of road surfaces at the scale of the UK's road networks).• Developed deep learning approaches for road scene analysis and public asset collection and geolocation.• Developed a system to generate a 360-degree view of the scene from multiple cameras with non-equidistance, non-overlapping field of view.• Implemented GAN for realistic road surface generation for anomaly detection.
  • University Of York
    Postdoctoral Ktp Associate In Computer Vision
    University Of York Dec 2014 - Mar 2018
    York, Gb
    • Appointed as a Knowledge Transfer Partnerships Associate in Computer Vision between University of York and Gaist Solutions for a 3-year research project funded by Innovate UK.• Built virtual top down view images of very large areas of road networks simply by driving a vehicle around the road network, currently launched as a product Gaist's SurfaceView (Patented GB2557398).• Implemented a restricted Structure-from-Motion (SfM) for largely planar scenes such as road scene that scales well to the size of the UK's road network and is several orders of magnitude faster than the conventional Structure-From-Motion.• Developed a seamless image stitching that scales well to very large sets of images (more than a million).• Enhanced gradient-based image stitching to be able to eliminate undesired objects such as shadows, moving cars, stationary objects etc.• Single-handedly transformed research prototypes into production-ready codebase enabled the company to utilise them as instruments to secure funding from investors.

Supannee Tanathong Education Details

  • University Of Seoul-서울시립대학교
    University Of Seoul-서울시립대학교
    Geoinformatics Engineering (Computer Vision)
  • King Mongkut'S University Of Technology Thonburi
    King Mongkut'S University Of Technology Thonburi
    Computer Engineering (International Program)

Frequently Asked Questions about Supannee Tanathong

What company does Supannee Tanathong work for?

Supannee Tanathong works for Paddington Robotics

What is Supannee Tanathong's role at the current company?

Supannee Tanathong's current role is Staff Computer Vision Engineer.

What is Supannee Tanathong's email address?

Supannee Tanathong's email address is li****@****ail.com

What schools did Supannee Tanathong attend?

Supannee Tanathong attended University Of Seoul-서울시립대학교, King Mongkut's University Of Technology Thonburi.

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