Erroll Wood

Staff SWE at Google, working on Digital Humans for AR & VR

[Shahram Izadi @izadi_shahram]

Intelligent eyewear is coming this fall! ✨

It was a privilege to be onstage at #GoogleIO to show our new audio glasses with #Gemini and share a first look at two designs from the upcoming collections.

I’m incredibly proud of our team and the partnership with @SamsungMobile and iconic eyewear brands @WarbyParker and @_GentleMonster_ to bring hands-free help to your everyday life.

Read more: https://t.co/CJolDrVu7P
Watch I/O Keynote: https://t.co/gCPsGvcVwn

[Erroll Wood @errollw]

Meet D4RT 🎯

A unified model for next-gen scene reconstruction and tracking.

🧠 The Secret Sauce: Incredible results thanks in part to diverse, realistic synthetic data from our team. The results are wild. 🤯

[Google DeepMind @GoogleDeepMind]

We're helping AI to see the 3D world in motion as humans do. 🌐

Enter D4RT: a unified model that turns video into 4D representations faster than previous methods - enabling it to understand space and time. This is how it works 🧵

[Erroll Wood @errollw]

#SyntheticData powers cutting-edge algorithms on #AndroidXR like Hand Tracking, Face Tracking, and more. 🦾

At #CVPR2025 ? Attend our tutorial (June 12th) to dive deep into Android XR's Perception stack.

Full schedule here: https://t.co/CbdyAMfQlj

[Erroll Wood @errollw]

Excited to finally share #AndroidXR #Moohan with the world. We're just getting started 💪😎

[Shahram Izadi @izadi_shahram]

#AndroidXR is officially here! 🎉 Thrilled to see the developer excitement and passion to build immersive experiences. Huge thanks to the @GoogleARVR team and our incredible partners @SamsungMobile and @Qualcomm and more. ➡️ https://t.co/0ljK0syK2F

[Erroll Wood @errollw]

It turns out that a synthetic-only face prior is great for novel view synthesis 🦾. If you're heading to SIGGRAPH Asia 🇯🇵, don't miss Cᴀꜰᴄᴀ. Great work, @mc_buehler!

[Marcel C. Buehler @mc_buehler]

A purely synthetic face prior can generalize to casual in-the-wild captures and stylized faces 🤯

I'm happy to share our @SIGGRAPHAsia paper “Cafca: High-quality Novel View Synthesis of Expressive Faces from Casual Few-shot Captures.”

https://t.co/UPNMexPbRc

[Erroll Wood @errollw]

Coming to #CVPR23? Come to my talk on Sunday morning at the GAZE workshop https://t.co/6B0qJ0n4B8 to hear about Synthetic Data for Gaze Estimation & More. Find out what worked 🙌🏻, what didn't 🤔, and what's next 🚀.

[Erroll Wood @errollw]

At #ECCV2022? Come try our our face tracker, powered by #syntheticdata and some real-time model-fitting magic 🪄.

🖼️ Poster 59 in Thursday's morning session.
🔗 https://t.co/aoqg2BVrNS

[Chirag Raman @chiragraman]

Excited to share our work on #syntheticdata, generating dynamic expression-based wrinkles for digital faces, to appear at #WACV2023!

With @Friggog, @errollw, and Tadas Baltrušaitis @Microsoft Mixed Reality & AI Cambridge

📝https://t.co/3oSjCBedHK
🧵1/8

[Two Minute Papers @twominutepapers]

New Video - Microsoft's New AI: Virtual Humans Became Real! 🤯
https://t.co/Vw9U0f0Mkr

#ai

[Erroll Wood @errollw]

@skynetislov3 We hear you, and understand! We have nothing more to share at this point in time, but keep watching this space 🙂

[Erroll Wood @errollw]

Very proud to share more about our work on 𝗗𝗲𝗻𝘀𝗲 𝗙𝗮𝗰𝗲 𝗟𝗮𝗻𝗱𝗺𝗮𝗿𝗸𝘀, which will appear at #ECCV2022. Check it out! 👇

🔗 https://t.co/aoqg2BVrNS
🎥 https://t.co/AL7fcDNPTv
📝 https://t.co/4fGrgxAYVF

[Erroll Wood @errollw]

@designerzen We have nothing more to share at this time, but keep watching this space 🙂

[Erroll Wood @errollw]

@cvtalks That's a really cool dataset! The community will love it!

However, I'd argue that #syntheticdata can give you more consistent labels, and greater training data diversity.

[Erroll Wood @errollw]

@afromero I'm not sure, but please do reach out to the organizers of the workshop to find out :)

[Erroll Wood @errollw]

Join me tomorrow at the SyntML workshop at #CVPR2022 to hear about how #syntheticdata helps us solve all sorts of face-related computer vision problems. These aren't toy problems, they are the real deal!

https://t.co/zkGeKSHMLB

[Erroll Wood @errollw]

@Babak_Taati @KITE_UHN @KITETrainees @AGEWELL_NCE Do ping me with any questions and I will do my best to answer :)

[Erroll Wood @errollw]

@91amin91 Mediapipe is awesome, and I love their Attention Mesh design. But I think our synthetic training data is just better than their real data😉

We have nothing to share at this time unfortunately, but please stay tuned for further announcements🙂

[Erroll Wood @errollw]

I'm delighted to share our work on dense landmarks! https://t.co/4fGrgxAYVF

🌟 Dense landmarks are all you need for accurate 3D face reconstruction and performance capture
💪 No surprise: the secret sauce is synthetic data
🏃 It's fast, running at 150FPS on a single CPU thread

[Erroll Wood @errollw]

@MrCatid We have nothing to share at this time unfortunately, but please stay tuned for further announcements🙂

[Erroll Wood @errollw]

@cubaneth We have nothing to share at this time unfortunately, but please stay tuned for further announcements🙂

[Erroll Wood @errollw]

@Wiz64268099 We have nothing to share at this time unfortunately, but please stay tuned for further announcements🙂