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 PublicationsNeurIPS - December 7, 2020
Instance Selection for GANs
Terrance DeVries, Michal Drozdzal, Graham Taylor
NeurIPS - December 7, 2020
3D Shape Reconstruction from Vision and Touch
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
NeurIPS - December 4, 2020
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
Senthil Purushwalkam, Abhinav Gupta
NeurIPS - December 1, 2020
Continuous Surface Embeddings
Natalia Neverova, David Novotny, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi
Latest News
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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