Jonathan Muller

Deep Learning & Computer Vision Algorithm Researcher (formerly Tetavi) at YOOM

Jonathan Muller has a diverse work experience in the field of engineering. Jonathan is currently employed at YOOM as a Machine/Deep Learning Engineer and also holds the role of Algorithm Engineer at Tetavi. Prior to this, Jonathan worked at Rafael Advanced Defense Systems as a DL & Algorithm Engineer for two years. Jonathan also has experience from their time at Technion - Israel Institute of Technology, where they worked on various projects related to augmented reality, 3D face reconstruction, video generation, and Kinect-based room recognition using 3D point clouds. Jonathan'sprojects involved deep learning techniques, unsupervised learning approaches, transfer learning, and classical computer vision algorithms.

Jonathan Muller attended the Technion - Israel Institute of Technology from 2015 to 2019, where they earned a Bachelor of Science degree in Computer Engineering.

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Tel Aviv, Israel

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YOOM

TetaVi Ltd. is an Israeli-based start-up developing a method and system to generate high quality Free Viewpoint Video (FVV) content for sports, broadcast and virtual reality applications to be viewed on all available screens – TVs, mobile phones/tablets, laptops, VR/AR headsets.


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51-200

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