Patents by Inventor Aikaterini Fragkiadaki

Aikaterini Fragkiadaki 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).

  • Determining structure and motion in images using neural networks
    Patent number: 11763466
    Abstract: A system comprising an encoder neural network, a scene structure decoder neural network, and a motion decoder neural network. The encoder neural network is configured to: receive a first image and a second image; and process the first image and the second image to generate an encoded representation of the first image and the second image. The scene structure decoder neural network is configured to process the encoded representation to generate a structure output characterizing a structure of a scene depicted in the first image. The motion decoder neural network configured to process the encoded representation to generate a motion output characterizing motion between the first image and the second image.
    Type: Grant
    Filed: December 23, 2020
    Date of Patent: September 19, 2023
    Assignee: Google LLC
    Inventors: Cordelia Luise Schmid, Sudheendra Vijayanarasimhan, Susanna Maria Ricco, Bryan Andrew Seybold, Rahul Sukthankar, Aikaterini Fragkiadaki
  • DETERMINING STRUCTURE AND MOTION IN IMAGES USING NEURAL NETWORKS
    Publication number: 20210118153
    Abstract: A system comprising an encoder neural network, a scene structure decoder neural network, and a motion decoder neural network. The encoder neural network is configured to: receive a first image and a second image; and process the first image and the second image to generate an encoded representation of the first image and the second image. The scene structure decoder neural network is configured to process the encoded representation to generate a structure output characterizing a structure of a scene depicted in the first image. The motion decoder neural network configured to process the encoded representation to generate a motion output characterizing motion between the first image and the second image.
    Type: Application
    Filed: December 23, 2020
    Publication date: April 22, 2021
    Inventors: Cordelia Luise Schmid, Sudheendra Vijayanarasimhan, Susanna Maria Ricco, Bryan Andrew Seybold, Rahul Sukthankar, Aikaterini Fragkiadaki
  • Determining structure and motion in images using neural networks
    Patent number: 10878583
    Abstract: A system comprising an encoder neural network, a scene structure decoder neural network, and a motion decoder neural network. The encoder neural network is configured to: receive a first image and a second image; and process the first image and the second image to generate an encoded representation of the first image and the second image. The scene structure decoder neural network is configured to process the encoded representation to generate a structure output characterizing a structure of a scene depicted in the first image. The motion decoder neural network configured to process the encoded representation to generate a motion output characterizing motion between the first image and the second image.
    Type: Grant
    Filed: December 1, 2017
    Date of Patent: December 29, 2020
    Assignee: Google LLC
    Inventors: Cordelia Luise Schmid, Sudheendra Vijayanarasimhan, Susanna Maria Ricco, Bryan Andrew Seybold, Rahul Sukthankar, Aikaterini Fragkiadaki
  • DETERMINING STRUCTURE AND MOTION IN IMAGES USING NEURAL NETWORKS
    Publication number: 20200349722
    Abstract: A system comprising an encoder neural network, a scene structure decoder neural network, and a motion decoder neural network. The encoder neural network is configured to: receive a first image and a second image; and process the first image and the second image to generate an encoded representation of the first image and the second image. The scene structure decoder neural network is configured to process the encoded representation to generate a structure output characterizing a structure of a scene depicted in the first image. The motion decoder neural network configured to process the encoded representation to generate a motion output characterizing motion between the first image and the second image.
    Type: Application
    Filed: December 1, 2017
    Publication date: November 5, 2020
    Inventors: Cordelia Luise Schmid, Sudheendra Vijayanarasimhan, Susanna Maria Ricco, Bryan Andrew Seybold, Rahul Sukthankar, Aikaterini Fragkiadaki