Patents by Inventor Yiran SHEN

Yiran SHEN 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).

  • Generating and applying an object-level relational index for images
    Patent number: 11182408
    Abstract: A computer-implemented technique is described herein for using a machine-trained model to identify individual objects within images. The technique then creates a relational index for the identified objects. That is, each index entry in the relational index is associated with a given object, and includes a set of attributes pertaining to the given object. One such attribute identifies at least one latent semantic vector associated with the given object. Each attribute provides a way of linking the given object to one or more other objects in the relational index. In one application of this technique, a user may submit a query that specifies a query object. The technique consults the relational index to find one or more objects that are related to the query object. In some cases, the query object and each of the other objects have a complementary relationship.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: November 23, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Kun Wu, Yiran Shen, Houdong Hu, Soudamini Sreepada, Arun Sacheti, Mithun Das Gupta, Rushabh Rajesh Gandhi, Sudhir Kumar
  • Generating and Applying an Object-Level Relational Index for Images
    Publication number: 20200372047
    Abstract: A computer-implemented technique is described herein for using a machine-trained model to identify individual objects within images. The technique then creates a relational index for the identified objects. That is, each index entry in the relational index is associated with a given object, and includes a set of attributes pertaining to the given object. One such attribute identifies at least one latent semantic vector associated with the given object. Each attribute provides a way of linking the given object to one or more other objects in the relational index. In one application of this technique, a user may submit a query that specifies a query object. The technique consults the relational index to find one or more objects that are related to the query object. In some cases, the query object and each of the other objects have a complementary relationship.
    Type: Application
    Filed: May 21, 2019
    Publication date: November 26, 2020
    Inventors: Kun WU, Yiran SHEN, Houdong HU, Soudamini SREEPADA, Arun SACHETI, Mithun Das GUPTA, Rushabh Rajesh GANDHI, Sudhir KUMAR