Patents by Inventor Matthew Dan Feiszli

Matthew Dan Feiszli has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Dynamic content rendering based on context for AR and assistant systems
    Patent number: 11966701
    Abstract: 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.
    Type: Grant
    Filed: August 2, 2021
    Date of Patent: April 23, 2024
    Assignee: Meta Platforms, Inc.
    Inventors: Yiming Pu, Christopher E Balmes, Gabrielle Catherine Moskey, John Jacob Blakeley, Amy Lawson Bearman, Alireza Dirafzoon, Matthew Dan Feiszli, Ganesh Venkatesh, Babak Damavandi, Jiwen Ren, Chengyuan Yan, Guangqiang Dong
  • Dynamic Content Rendering Based on Context for AR and Assistant Systems
    Publication number: 20220374130
    Abstract: 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.
    Type: Application
    Filed: August 2, 2021
    Publication date: November 24, 2022
    Inventors: Yiming Pu, Christopher E. Balmes, Gabrielle Catherine Moskey, John Jacob Blakeley, Amy Lawson Bearman, Alireza Dirafzoon, Matthew Dan Feiszli, Ganesh Venkatesh, Babak Damavandi, Jiwen Ren, Chengyuan Yan, Guangqiang Dong
  • Convolutional neural network based on groupwise convolution for efficient video analysis
    Patent number: 10984245
    Abstract: 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.
    Type: Grant
    Filed: February 26, 2019
    Date of Patent: April 20, 2021
    Assignee: Facebook, Inc.
    Inventors: Du Le Hong Tran, Kaiming He, Heng Wang, Matthew Dan Feiszli, Lorenzo Torresani