Facebook, Inc.

Meta Platforms, Inc.

Matthew Dan Feiszli

Ganesh Venkatesh

Chengyuan Yan

Kaiming He

Du Le Hong Tran

John Jacob Blakeley

Lorenzo Torresani

Heng Wang

Amy Lawson Bearman

Christopher E Balmes

Yiming Pu

Alireza Dirafzoon

Gabrielle Catherine Moskey

Babak Damavandi

Guangqiang Dong

Jiwen Ren

In one embodiment, a method includes rendering a first output image comprising one or more augmented-reality (AR) objects for displays of an AR rendering device of an AR system associated with a first user. The method further includes accessing sensor signals associated with the first user. The one or more sensor signals may be captured by sensors of the AR system. The method further includes detecting a change in a context of the first user with respect to a real-world environment based on the sensor signals. The method further includes rendering a second output image comprising the AR objects for the displays of the AR rendering device. One or more of the AR objects may be adapted based on the detected change in the context of the first user.

Dynamic content rendering based on context for AR and assistant systems

In one embodiment, a method includes receiving a request for information associated with a video, determining the information associated with the video by processing the video using a machine-learning model which is based on a convolutional neural network comprising a plurality of layers, wherein at least one of the plurality of layers comprises one or more building blocks, wherein at least one of the one or more building blocks comprises a first filter configured to perform a three-dimensional (3D) pointwise convolutional operation and a second filter configured to perform a three-dimensional (3D) groupwise convolutional operation, and outputting the information associated with the video in response to the request.

Convolutional neural network based on groupwise convolution for efficient video analysis

Growing community of inventors

San Francisco, CA, United States of America

Matthew Dan Feiszli