Patents by Inventor Nora Baka

Nora Baka 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).

  • Generative adversarial networks for image segmentation
    Patent number: 11935243
    Abstract: A method is provided of training a generative adversarial network for performing semantic segmentation of images. The generative adversarial network includes a generator neural network and a discriminator neural network. The method includes providing an image as input to the generator neural network, receiving a predicted segmentation map for the image from the generator neural network, providing i) the image, ii) the predicted segmentation map, and iii) ground-truth label data corresponding to the image, as distinct training inputs to the discriminator neural network, determining a set of one or more outputs from the discriminator neural network in response to said training inputs, and training the generator neural network using a loss function that is a function of said set of outputs from the discriminator neural network.
    Type: Grant
    Filed: June 7, 2019
    Date of Patent: March 19, 2024
    Assignee: TomTom Global Content B.V.
    Inventors: Michael Hofmann, Nora Baka, Cedric Nugteren, Mohsen Ghafoorian, Olaf Booij
  • Generative Adversarial Networks for Image Segmentation
    Publication number: 20210303925
    Abstract: A method is provided of training a generative adversarial network for performing semantic segmentation of images. The generative adversarial network includes a generator neural network and a discriminator neural network. The method includes providing an image as input to the generator neural network, receiving a predicted segmentation map for the image from the generator neural network, providing i) the image, ii) the predicted segmentation map, and iii) ground-truth label data corresponding to the image, as distinct training inputs to the discriminator neural network, determining a set of one or more outputs from the discriminator neural network in response to said training inputs, and training the generator neural network using a loss function that is a function of said set of outputs from the discriminator neural network.
    Type: Application
    Filed: June 7, 2019
    Publication date: September 30, 2021
    Inventors: Michael Hofmann, Nora Baka, Cedric Nugteren, Mohsen Ghafoorian, Olaf Booij