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

ACM MM - October 20, 2021

EVRNet: Efficient Video Restoration on Edge Devices

Sachin Mehta, Amit Kumar, Fitsum Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra

ICCV - October 11, 2021

Egocentric Pose Estimation from Human Vision Span

Hao Jiang, Vamsi Krishna Ithapu

ICCV - October 10, 2021

Emerging Properties in Self-Supervised Vision Transformers

Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin

SIGGRAPH - August 9, 2021

Driving-Signal Aware Full-Body Avatars

Timur Bagautdinov, Chenglei Wu, Tomas Simon, Fabián Prada, Takaaki Shiratori, Shih-En Wei, Weipeng Xu, Yaser Sheikh, Jason Saragih

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