Aria Gen 2 glasses take research with Project Aria to the next level.

Project Aria is the world’s most advanced device for egocentric research with applications in augmented reality, contextual AI, and robotics. Aria is worn like a regular pair of glasses and is packed with sensors that capture egocentric video, audio, inertial data, and more.
Project Aria can produce detailed information about the wearer’s gaze, their precise position and trajectory, their hand pose, and information about the surrounding environment.
In 2022, we hosted our first Project Aria tutorial at CVPR, where we invited attendees to participate in the Project Aria academic program by applying for the Aria Research Kit, which includes Aria glasses and tools for developing open-source datasets and real-time prototypes.
Since the tutorial debut, it has nearly doubled in attendance year-over-year, now with over 250 research labs using over 1,000 Aria devices throughout the world, having produced highly detailed egocentric datasets and developed new methods for topics such as a robotics imitation learning.
This year, we will continue sharing insights and resources with the research community with the fourth Hands-on Egocentric Research Tutorial with Project Aria. We will share updates on our forthcoming release of Aria Gen 2 glasses, including a live demo.We will feature research that Meta has recently completed with Aria and that some of our partners have completed with Aria.
Looking forward to another outstanding tutorial with the ICCV community.
Agenda
08:00
Keynote

Richard Newcombe - Meta Reality Labs
08:30
Project Aria Overview and Updates

James Fort - Meta Reality Labs
09:00
Aria Gen 2 Live Demo

Aria Kang - Meta Reality Labs

Cheng Peng - Meta Reality Labs
09:20
Robust Conditional Shape Generation from Casual Captures

Yawar Siddiqui - Meta Reality Labs
09:40
Nymeria++

Lingni Ma - Meta Reality Labs
Coffee Break (10:00 - 10: 20)
10:20
Thinking Inside the Scene: Toward Common Sense in Robotic Perception

Zuria Bauer - ETH Zurich
10:40
Seeing Inside: Estimating Heart Rate, Emotion, and Personality on Egocentric Vision Systems

Björn Braun - ETH Zurich
11:00
Depth from Aria Gen 2 with NVIDIA FoundationStereo

Bowen Wen - NVIDIA

Michael Goesele - Meta Reality Labs
11:20
Egocentric Video Understanding in Operating Rooms - Challenges & Opportunities

Felix Tristram - TU Munich
11:40
Robot Learning from Egocentric Human Data with Project Aria

Danfei Xu - Georgia Tech
Organizers

Reality Labs Research, Meta

Reality Labs Research, Meta

Reality Labs Research, Meta

Reality Labs Research, Meta

Reality Labs Research, Meta