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.
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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 PublicationsAdversarial 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
Latest News
Videos
All Videos
FroDO: From Detections to 3D Objects
| June 10, 2020
Epipolar Transformers
| June 10, 2020
ARCH: Animatable Reconstruction of Clothed Humans
| June 10, 2020
What Makes Training Multi-Modal Networks Hard?
| June 10, 2020