Synthetics with Digital Humans

Add to your list(s) Download to your calendar using vCal

• Dr. Erroll Wood (Staff Software Engineer at Google)
• Friday 08 July 2022, 11:00-12:00
• https://zoom.us/j/6492509351?pwd=U0hoSzJ0anlhRGhzYVFmTzltNk9wZz09 (meeting ID: 649 250 9351 / passcode: 7mu5ZJ).

If you have a question about this talk, please contact Gwangbin Bae.

Abstract

Nowadays, collecting the right dataset for machine learning is often more challenging than choosing the model. We address this with photorealistic synthetic training data – labelled images of humans made using computer graphics. With synthetics we can generate clean labels without annotation noise or error, produce labels otherwise impossible to annotate by hand, and easily control variation and diversity in our datasets. I will show you how synthetics underpins our work on understanding humans, including how it enables fast and accurate 3D face reconstruction, in the wild.

Bio

Dr. Erroll Wood is a Staff Software Engineer at Google, working on Digital Humans. Previously, he was a member of Microsoft’s Mixed Reality AI Lab, where he worked on hand tracking for HoloLens 2, avatars for Microsoft Mesh, synthetic data for face tracking, and Holoportation. He did his PhD at the University of Cambridge, working on gaze estimation.

Google Calendar for Future Seminars: https://calendar.google.com/calendar/u/0?cid=c2pjcHN0YXM2N3QyMWU3c2FqNjBqNWNiYXNAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ

This talk is part of the CUED Computer Vision Research Seminars series.

This talk is included in these lists:

• CUED Computer Vision Research Seminars
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge talks
• Chris Davis' list
• Information Engineering Division seminar list
• Interested Talks
• Trust & Technology Initiative - interesting events
• bld31
• https://zoom.us/j/6492509351?pwd=U0hoSzJ0anlhRGhzYVFmTzltNk9wZz09 (meeting ID: 649 250 9351 / passcode: 7mu5ZJ)
• ndk22's list
• ob366-ai4er
• rp587

Note that ex-directory lists are not shown.