Enabling 3D sensing

What if cameras captured not just high-fidelity 2D content, but also the accurate distance to each element in the photo, video or livestream? How would this spur the development of applications – ranging from AR to photo editing to robotics – that are smart, autonomous and versatile?

Hear from André Wong, VP, Product Line Management, 3D-sensing at Lumentum, a world leader in providing diode lasers for high-volume 3D sensing applications in the gaming and PC markets who are now also driving the technology for adoption in mobile devices and other next-generation applications.

André was educated at the University of British Columbia in Canada where he obtained a Ph.D. in Materials Physics. After obtaining his Ph.D., André was an NSERC (Natural Sciences and Engineering Research Council of Canada) Post-doctoral research fellow at the University of California, Berkeley, where he conducted research in fabricating low photon count detectors using CMOS sensors. 

Empowering cameras to act like humans

What if you could create human-centric AI–enabled cameras that see, understand, and respond to humans in the same way that people do?

That’s what Paul Kruszewski’s third AI startup, wrnch, does for some of the largest media and entertainment companies in the world. wrnch’s flagship product, the wrnchAI engine, processes digital images from cameras and videos using deep learning models to detect humans in images, recognize skeletons and shapes, understand motion and gestures, and deliver results so that computers can respond rapidly to what is seen. Wrnch counts Nikon and Mark Cuban among its investors.

Hear from serial AI entrepreneur Paul Kruszewski, who has been at the bleeding intersection of real-time AI and computer graphics since 2000. Paul holds an MA and Ph.D. in computer science from McGill University.

Managing commerce-focused user-generated photos at scale

We’ve known forever that, when it comes to selling products, photos are indispensable. But it’s a whole new ballgame when the photos are taken by non-professionals, supporting 350K+ new items listed every day. Welcome to Japan’s first unicorn, Mercari, a community-based shopping app that operates in Japan and the US. How does Mercari develop smart solutions to streamline and optimize photo submission at scale?

In this session Mok Oh, Mercari CTO, will share his perspectives on user-generated visual content optimization, and some of the key lessons he has learned throughout his career, including with Moju Labs, a photo app startup that he discussed at Visual 1st 2014.

We look forward to tapping into Mok’s broader perspectives on where consumer imaging can – or should – be heading.

Prior to founding Moju Labs Mok Oh was Chief Scientist at PayPal, and entrepreneur-in-residence at North Bridge Venture Partners. After Moju Labs, Mok became Corporate VP at Samsung and later joined Mercari in 2018 as CTO. 

Mok holds a Ph.D. from MIT, an M.S. from the University of Pennsylvania, and two B.A. degrees (Computer Science and Art History) from Oberlin College. He holds 12 patents.