Patents by Inventor Antoine Miech

Antoine Miech 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).

  • Publication number: 20230350936
    Abstract: A query processing system is described which receives a query input comprising an input token string and also at least one data item having a second, different modality, and generates a corresponding output token string.
    Type: Application
    Filed: April 28, 2023
    Publication date: November 2, 2023
    Inventors: Jean-Baptiste Alayrac, Jeffrey Donahue, Karel Lenc, Karen Simonyan, Malcolm Kevin Campbell Reynolds, Pauline Luc, Arthur Mensch, Iain Barr, Antoine Miech, Yana Elizabeth Hasson, Katherine Elizabeth Millican, Roman Ring
  • Patent number: 11636681
    Abstract: In one embodiment, a method includes accessing a first set of images of multiple images of a scene, wherein the first set of images show the scene during a time period. The method includes generating, by processing the first set of images using a first machine-learning model, one or more attributes representing observed actions performed in the scene during the time period. The method includes predicting, by processing the generated one or more attributes using a second machine-learning model, one or more actions that would happen in the scene after the time period.
    Type: Grant
    Filed: November 19, 2019
    Date of Patent: April 25, 2023
    Assignee: Meta Platforms, Inc.
    Inventors: Heng Wang, Du Le Hong Tran, Antoine Miech, Lorenzo Torresani
  • Publication number: 20200160064
    Abstract: In one embodiment, a method includes accessing a first set of images of multiple images of a scene, wherein the first set of images show the scene during a time period. The method includes generating, by processing the first set of images using a first machine-learning model, one or more attributes representing observed actions performed in the scene during the time period. The method includes predicting, by processing the generated one or more attributes using a second machine-learning model, one or more actions that would happen in the scene after the time period.
    Type: Application
    Filed: November 19, 2019
    Publication date: May 21, 2020
    Inventors: Heng Wang, Du Le Hong Tran, Antoine Miech, Lorenzo Torresani