Dr Elias Vansteenkiste Appointed as Artificial Intelligence Architect at Segmentive

German Startup Hires Computer Vision Expert to Lead Whole-body Mobile Segmentation Prototype

Online PR News – 21-July-2020 – BERLIN – Segmentive, a Berlin-based deep tech startup, have appointed Dr Elias Vansteenkiste as their Artificial Intelligence Architect to lead the development of human segmentation matting for mobile devices.

Dr Vansteenkiste has extensive experience building and training machine learning models for generative video reconstruction and real-time video anonymisation. Dr Vansteenkiste completed his PhD at Gent University and specialised in deep learning models that improve lung cancer prediction as a postdoc researcher.

“Computer vision has become the core technology for many new applications and Segmentive is breaking new ground to segment a moving person in real-time,” said Dr Vansteenkiste, “I am really pleased to be joining at such an exciting period and to be involved in the delivery of the first mobile prototype.”

Segmentive’s breakthrough technology aims to overcome the limitations of conventional visual processing and mobile power by combining the most advanced online learning techniques with the industry’s fastest neural network algorithms.

Using Segmentive’s technology, mobile users can intelligently remove themselves from live backgrounds to be transported into a scene of their choice, enabling a broad range of AR / VR use cases.

Lutz Roellig, Segmentive CEO said “We are very pleased that Dr Vansteenkiste has chosen to take up the role of Artificial Intelligence Architect. His appointment will be key to the execution of a new industry approach to full-body mobile video segmentation.”
To date, removing the background from a real-time video of a moving person on a mobile device has been impossible.

Segmentive’s technology is designed to be used by social media platforms looking for unique features to transport users to different worlds by changing their backgrounds.

Segmentive has application with mobile phone manufacturers and tech giants looking to push the boundaries of computer vision to create new commercial applications.