Research Areas
Giving people the power to share and connect requires constant innovation
At Facebook, research permeates everything we do. We believe the most interesting research questions are derived from real world problems. Working on cutting edge research with a practical focus, we push product boundaries every day. At the same time, we publish papers, give talks, and collaborate broadly with the academic community.
We solve real-world problems that impact billions of people in areas such as:
Research Areas at Facebook
AR/VR
Creating the future of personal and shared reality
Artificial Intelligence
Advancing the field of machine intelligence
Blockchain & Cryptoeconomics
Changing the way money moves
Computational Photography & Intelligent Cameras
Mobile visual processing to understand, augment, and enhance sharing and connections
Computer Vision
Understanding the visual world around us
Data Science
Gaining insights to deliver meaningful social interactions
Databases
We build the next generation of data systems that help connect the world
Economics & Computation
Exploring the intersection of economics and computation
Human Computer Interaction & UX
Understanding and improving social experiences
Machine Learning
Applying machine learning science to Facebook products
Natural Language Processing & Speech
Breaking down language barriers
Networking & Connectivity
Data networks that support the social network
Security & Privacy
Keeping the Facebook community safe and secure
Systems & Infrastructure
Building the systems to bring the world closer together
Our people
See all People
Jordan Eschler
UX Researcher
Human Computer Interaction & UX
Mark Harman
Research Scientist
Systems & Infrastructure
Yann LeCun
Chief AI Scientist
Artificial Intelligence
Aude Hofleitner
Research Scientist Manager
Data Science
Nicolas Stier
Director, Core Data Science
Data Science, Economics & Computation, Machine Learning, Networking & Connectivity, Systems & Infrastructure
Lauren Scissors
Research Director
Human Computer Interaction & UX
Latest Publications
All PublicationsSIGGRAPH ASIA - December 14, 2021
Modeling Clothing as a Separate Layer for an Animatable Human Avatar
Donglai Xiang, Fabián Prada, Timur Bagautdinov, Weipeng Xu, Yuan Dong, He Wen, Jessica Hodgins, Chenglei Wu
ASRU - December 13, 2021
Incorporating Real-world Noisy Speech in Neural-network-based Speech Enhancement Systems
Yangyang Xia, Buye Xu, Anurag Kumar
IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) - December 13, 2021
Kaizen: Continuously Improving Teacher Using Exponential Moving Average For Semi-supervised Speech Recognition
Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed
ISAAC - December 5, 2021
On the Extended TSP Problem
Julián Mestre, Sergey Pupyrev, Seeun William Umboh
3DV - November 18, 2021
Recovering Real-World Reflectance Properties and Shading From HDR Imagery
Bjoern Haefner, Simon Green, Alan Oursland, Daniel Andersen, Michael Goesele, Daniel Cremers, Richard Newcombe, Thomas Whelan
EMNLP - November 10, 2021
Cross-Policy Compliance Detection via Question Answering
Marzieh Saeidi, Majid Yazdani, Andreas Vlachos
CoNLL - November 9, 2021
Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network
Verna Dankers, Anna Langedijk, Kate McCurdy, Adina Williams, Dieuwke Hupkes
EMNLP - November 7, 2021
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications
Shuo Sun, Ahmed El-Kishky, Vishrav Chaudhary, James Cross, Francisco Guzmán, Lucia Specia
Latest News
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Videos
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Developing tools, technologies and expertise to evolve the way we design
1:44 | October 14, 2020
Innovation comes through exploration and challenging our assumptions
1:35 | October 14, 2020
Bringing together different functions to find new perspective and achieve design excellence
1:38 | September 8, 2020
TexMesh: Reconstructing Human Texture and Geometry from Monocular Video
| August 31, 2020
PyTorch 
DensePose 
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