Computer Vision

Understanding the visual world around us

Computer Vision researchers at Facebook are inventing new ways for computers to gain a higher level of understanding cued from the visual world around us.

We are creating visual sensors derived from digital images and videos that extract information about our environment, to further enable Facebook services to automate tasks that people automatically do today visually. Our ultimate goal, to automatically, and intelligently enhance people’s experiences across Facebook products.

Latest Publications

All Publications

Adversarial Continual Learning

Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach

ECCV - August 25, 2020

Learning to Generate Grounded Visual Captions without Localization Supervision

Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira

ECCV - August 24, 2020

Expressive Telepresence via Modular Codec Avatars

Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh

ECCV - August 24, 2020

Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das

ECCV - August 23, 2020

Careers at Facebook Research
Want to solve some of the most challenging technology problems?