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Datagen invites you to their event

Implementing Data-Centric Methodology with Synthetic Data

About this event

Gartner predicts that synthetic data will make up 60% of all the data used for the development of AI and analytics projects by 2024.

Join our upcoming webinar to hear from industry experts who will talk about their recent work with synthetic data:

  • Tadas Baltrusaitis from Microsoft will share findings from his recent research on Face Synthetics, and how to perform face-related computer vision in the wild using synthetic data alone
  • Evyatar Bluzer and Chen Liu from Facebook will talk about mid-level scene representation from synthetic data
  • Gil Elbaz from Datagen will speak on how to boost performance of AI applications using synthetic data

Join the webinar and learn:

  • Latest updates on the public SOTA synthetic face data by Microsoft
  • Perspective on how Facebook is leveraging synthetic data to bring XR to life
  • Insights into how to effectively implement the data-centric AI development strategy, using synthetic data

Sign up and save your seat!

About our speakers:

Tadas Baltrusaitis

Tadas Baltrusaitis currently leads the Human Synthetics team in Microsoft Cambridge. His primary research interests lie in the automatic understanding of human behavior, computer vision, and synthetic data generation. In particular, he is interested in the application of such technologies to virtual presence. He received his PhD and Bachelor’s degrees in Computer Science from Cambridge University and completed his post-doc at CMU.

Evyatar Bluzer

Evyatar is an engineering manager at Facebook's Computer Vision division, where he works on enabling AR/VR at Facebook's Reality Labs. Prior to Facebook, he was the Director of Engineering at Magic Leap and a tech lead in a number of companies, including at Microsoft-Hololens.

Chen Liu

Chen is an Applied Research Scientist at Facebook. His research interests lie in 3D computer vision and machine perception technologies. He has developed scene understanding algorithms to unlock the potential of Augmented Reality. Prior to Facebook, he received his Ph.D. from Washington University in St. Louis and interned at Adobe, NVIDIA, and MagicLeap.

Gil Elbaz

Gil is Datagen’s CTO and Co-founder, based in Tel Aviv. He received his B.Sc and M.Sc from the Technion. Gil’s thesis research was focused on 3D Computer Vision and has been published at CVPR, the top computer vision research conference in the world.

Hosted by

  • Guest speaker
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    Tadas Baltrusaitis

  • Guest speaker
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    Evyatar Bluzer

  • Guest speaker
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    Chen Liu

  • Guest speaker
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    Gil Elbaz

Datagen

Solving the data acquisition bottleneck in computer vision

Leading the AI revolution by generating high-performance, photo-realistic data, used to train computer vision systems that concentrate on human and object perception. Our data-centric technology delivers images and videos with unmatched domain coverage and fully controlled object variance.