Project Aria Cvpr 2022 Tutorial

In this session, we describe the challenges and methods for achieving life-long and multi-device localization, including a ...

Final Q&A from the

In this video, we introduce Meta's research program for accelerating AI and Machine perception research "

In this session, researchers from Carnegie Mellon University share their work on indoor navigation for people who are visually ...

In this session, we describe the open source file format "VRS", the motivation behind it, and demonstrate how it can be used for ...

In this session, we describe the first open dataset released by Meta from the

In this session, we describe fundamental research challenges related to creating all-day wearable AR glasses, including form ...

Highlights of the

In this video, research director Carl Ren provides an overview of the

In this session, we describe the how sequences can be captured on Meta's

In this session, we describe the challenges of lifting object-based representations from sensor data from egocentric devices.

In this session, we describe existing privacy challenges for building AR glasses, and introduce privacy preserving technologies ...

Watch the recording of the Benchmarking Egocentric Visual-Intertial SLAM at City Scale Workshop at ICCV, including topics on ...

In this video, research product manager Edward Miller gives an overview of Meta's open-source tools, models, and datasets, ...

In this session, we present methods for lifting object-based representations from sensor data, including FRODO, ODAM, and ...

In this video, research director Richard Newcombe introduces the motivations and challenges related to all-day wearable ...

In this video, research product manager Prince Gupta introduces Meta's research program for accelerating AI and Machine ...