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.
Our People
View All People
Manohar Paluri
Research Lead
Artificial Intelligence, Computer Vision, Machine Learning
Georgia Gkioxari
Research Scientist
Artificial Intelligence, Computer Vision, Machine Learning
Piotr Dollar
Research Manager
Artificial Intelligence, Computer Vision
Peter Vajda
Research Manager
Computational Photography & Intelligent Cameras, Computer Vision, Machine Learning
Natalia Neverova
Research Scientist
Artificial Intelligence, Computer Vision
Latest Publications
All PublicationsNeuro-Symbolic Generative Art: A Preliminary Study
Gunjan Aggarwal, Devi Parikh
ICCC - September 7, 2020
Adversarial Continual Learning
Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach
ECCV - August 25, 2020
Expressive Telepresence via Modular Codec Avatars
Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh
ECCV - August 24, 2020
Latest News
All News
Videos
All VideosContactPose: A Dataset of Grasps with Object Contact and Hand Pose
1:01 | August 31, 2020
TexMesh: Reconstructing Human Texture and Geometry from Monocular Video
2:00 | August 31, 2020
Are Labels Necessary for Neural Architecture Search?
1:31 | August 31, 2020
TextCaps: a Dataset for Image Captioning with Reading Comprehension
2:00 | August 31, 2020