• Richard Szeliski wins 2017 PAMI Distinguished Research award – Facebook Research

    Facebook Research Scientist Dr. Richard Szeliski was honored today at the International Conference on Computer Vision (ICCV) with the 2017 PAMI Distinguished Research Award. The honor is in recognition of Szeliski’s contributions to the field of computer vision over the past three decades both through major research results and in influencing and inspiring...

  • The Open Source Chemistry Package for Quantum Computers

    Posted by Ryan Babbush and Jarrod McClean, Quantum Software Engineers, Quantum AI Team “The underlying physical laws necessary for the mathematical theory of a large part of physics and the whole of chemistry are thus completely known, and the difficulty is only that the exact application of these laws leads to equations...

  • Listening to Indigenous and Northern Perspectives on Management of Data in Canada

    Working with Northern and Indigenous Partners in Canada to Make Data and Information More Accessible Our online PDC Lite application was developed as a direct result of feedback from northern and Indigenous users. A survey of northern Canadians, commissioned in 2010 by ArcticNet, revealed that users with low-speed Internet connections—which are very...

  • Facebook at ICCV 2017 – Facebook Research

    Computer vision experts from around the world will gather in Venice this week at the International Conference on Computer Vision (ICCV) to present the latest advances in computer vision and related areas. Research from Facebook will be presented in 15 peer-reviewed publications and posters.  Facebook Researchers will also be leading and presenting...

  • Fast static race detection at scale – Facebook Research

    PUBLICATION SOSP 2017 / October 29, 2017 SVE: Distributed Video Processing at Facebook Scale Qi Huang, Petchean Ang, Peter Knowles, Tomasz Nykiel, Iaroslav Tverdokhlib, Amit Yajurvedi, Paul Dapolito IV, Xifan Yan, Maxim Bykov, Chuen Liang, Mohit Talwar, Abhishek Mathur, Sachin Kulkarni, Matthew Burke, Wyatt Lloyd Fast static race detection at scale –...

  • A Finely Labeled Video Dataset for Human Action Understanding

    Distribution of AVA’s atomic action labels. Labels displayed in the x-axis are only a partial set of our vocabulary. The unique design of AVA allows us to derive some interesting statistics that are not available in other existing datasets. For example, given the large number of persons with at least two labels,...

  • Announcing the Winners of the Facebook ParlAI Research Awards – Facebook Research

    Building dialogue systems and intelligent chatbots are very topical research challenges and Facebook is trying to accelerate these endeavors — first by creating and sharing relevant tooling and by sponsoring research that explores and extends this infrastructure.  We are pleased to announce the following ParlAI research award winners and their topic areas....

  • Portrait mode on the Pixel 2 and Pixel 2 XL smartphones

    Right: visualization of how much blur we apply to each pixel in the original. Black means don’t blur at all, red denotes scene features behind the in-focus plane (which is her face), the brighter the red the more we blur, and blue denotes features in front of the in-focus plane (the pastry)....

  • Inventing the future

    Inventing the future Inventing the future

  • Flexibility Empowered by Prior Knowledge

    How Lattice Models Help You Suppose you are designing a system to recommend nearby coffee shops to a user. You would like the model to learn, “if two cafes are the same, prefer the closer one.” Below we show a flexible model (pink) that accurately fits some training data for users in...