Supannee Tanathong Email & Phone Number
@paddington-robotics.com
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Who is Supannee Tanathong? Overview
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Supannee Tanathong is listed as Staff Computer Vision Engineer at Paddington Robotics, a company with 13 employees, based in Sheffield, England, United Kingdom. AeroLeads shows a work email signal at paddington-robotics.com and a matched LinkedIn profile for Supannee Tanathong.
Supannee Tanathong previously worked as CV and ML Architect at Heatly and Visiting Research Fellow at University Of York. Supannee Tanathong holds Ph.D., Geoinformatics Engineering (Computer Vision) from University Of Seoul-서울시립대학교.
Email format at Paddington Robotics
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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
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Supannee Tanathong work experience
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Cv And Ml Architect
Visiting Research Fellow
Current- 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
Computer Vision Research Engineer
- 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.
Computer Vision Scientist
- 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.
Postdoctoral Ktp Associate In Computer Vision
- 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.
- 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
Ph.D., Geoinformatics Engineering (Computer Vision)
Master'S Degree, Computer Engineering (International Program)
Frequently asked questions about Supannee Tanathong
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What company does Supannee Tanathong work for?
Supannee Tanathong works for Paddington Robotics.
What is Supannee Tanathong's role at Paddington Robotics?
Supannee Tanathong is listed as Staff Computer Vision Engineer at Paddington Robotics.
What is Supannee Tanathong's email address?
AeroLeads has found 1 work email signal at @paddington-robotics.com for Supannee Tanathong at Paddington Robotics.
Where is Supannee Tanathong based?
Supannee Tanathong is based in Sheffield, England, United Kingdom while working with Paddington Robotics.
What companies has Supannee Tanathong worked for?
Supannee Tanathong has worked for Paddington Robotics, Heatly, University Of York, Snap Inc., and Gaist.
How can I contact Supannee Tanathong?
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What schools did Supannee Tanathong attend?
Supannee Tanathong holds Ph.D., Geoinformatics Engineering (Computer Vision) from University Of Seoul-서울시립대학교.
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