Patents by Inventor Krishna Kumar BALAKRISHNAN

Krishna Kumar BALAKRISHNAN 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).

  • Method, apparatus, and system for task driven approaches to super resolution
    Patent number: 11263726
    Abstract: An approach is provided for generating a super-resolution image as a higher resolution version of an input image. The approach, for example, involves determining a set of tasks to be performed on the input image to facilitate generating the super-resolution image. The approach also involves selecting a combination of loss functions, wherein each loss function of the combination of loss functions is respectively a task-specific neural network pre-trained to perform a corresponding one of the set of tasks. The approach also involves training the super resolution neural network using the combination of loss functions as one or more layers of the super resolution neural network. The approach also involves using the trained super resolution neural network to generate the super-resolution image as a higher resolution version of the input image.
    Type: Grant
    Filed: May 16, 2019
    Date of Patent: March 1, 2022
    Assignee: HERE Global B.V.
    Inventors: Abinaya Manimaran, Krishna Kumar Balakrishnan, David Johnston Lawlor, Anish Mittal, Zhanwei Chen
  • METHOD, APPARATUS, AND SYSTEM FOR TASK DRIVEN APPROACHES TO SUPER RESOLUTION
    Publication number: 20200364830
    Abstract: An approach is provided for generating a super-resolution image as a higher resolution version of an input image. The approach, for example, involves determining a set of tasks to be performed on the input image to facilitate generating the super-resolution image. The approach also involves selecting a combination of loss functions, wherein each loss function of the combination of loss functions is respectively a task-specific neural network pre-trained to perform a corresponding one of the set of tasks. The approach also involves training the super resolution neural network using the combination of loss functions as one or more layers of the super resolution neural network. The approach also involves using the trained super resolution neural network to generate the super-resolution image as a higher resolution version of the input image.
    Type: Application
    Filed: May 16, 2019
    Publication date: November 19, 2020
    Inventors: Abinaya MANIMARAN, Krishna Kumar BALAKRISHNAN, David Johnston LAWLOR, Anish MITTAL, Zhanwei CHEN