Bringing the world closer together by advancing AI

Deepfake Detection

Bringing the world closer together by advancing AI

DensePose

Bringing the world closer together by advancing AI

Detectron2

Bringing the world closer together by advancing AI

Deepfake Detection

Bringing the world closer together by advancing AI

DensePose

Bringing the world closer together by advancing AI

Detectron2

Open-Source AI Tools

We share our open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.

Open-Source AI Research

We're advancing the state-of-the-art in artificial intelligence through fundamental and applied research in open collaboration with the community.

Notable Papers

RESEARCH

ML APPLICATIONS

GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce

Sean Bell

Yiqun Liu

Sami Alsheikh

Yina Tang...

KDD

COMPUTER VISION

Live Face De-Identification in Video

Oran Gafni

Lior Wolf

Yaniv Taigman

International Conference on Computer Vision (ICCV)

RESEARCH

Single-Network Whole-Body Pose Estimation

Gines Hidalgo

Yaadhav Raaj

Haroon Idrees

Donglai Xiang...

International Conference on Computer Vision (ICCV)

SPEECH & AUDIO

A Universal Music Translation Network

Noam Mor

Lior Wolf

Adam Polyak

Yaniv Taigman

International Conference on Learning Representations (ICLR)

Latest Publications

Asynchronous Gradient-Push | Facebook AI Research

We consider a multi-agent framework for distributed optimization where each agent has access to a local smooth strongly convex function, and the collective goal is to achieve consensus on the parameters that minimize the sum of the agents’…

Mahmoud Assran, Michael Rabbat

GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce

In this paper we propose image classification modeling technique targeted for marketplace. We use public posts from marketplace and search log interactions for training image classifier and achieve significant improvements in e-commerce in comparison to previous version of our image classifier.

Sean Bell, Yiqun Liu, Sami Alsheikh, Yina Tang, Ed Pizzi, M. Henning, Karun Singh, Omkar Parkhi, Fedor Borisyuk

On the Convergence of Nesterov’s Accelerated Gradient Method in Stochastic Settings | Facebook AI Research

We study Nesterov’s accelerated gradient method with constant step-size and momentum parameters in the stochastic approximation setting (unbiased gradients with bounded…

Mido Assran, Michael Rabbat

Graph Structure of Neural Networks | Facebook AI Research

Neural networks are often represented as graphs of connections between neurons. However, despite their wide use, there is currently little understanding of the relationship…

Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie

Help Us Pioneer the Future of AI

We share our open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.