Patents by Inventor Martin C. Stumpe

Martin C. Stumpe 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).

  • Patent number: 10007867
    Abstract: Systems and methods of identifying entities are disclosed. In particular, one or more images that depict an entity can be identified from a plurality of images. One or more candidate entity profiles can be determined from an entity directory based at least in part on the one or more images that depict the entity. The one or more images that depict the entity and the one or more candidate entity profiles can be provided as input to a machine learning model. One or more outputs of the machine learning model can be generated. Each output can include a match score associated with an image that depicts the entity and at least one candidate entity profile. The entity directory can be updated based at least in part on the one or more generated outputs of the machine learning model.
    Type: Grant
    Filed: April 4, 2016
    Date of Patent: June 26, 2018
    Assignee: Google LLC
    Inventors: Qian Yu, Liron Yatziv, Yeqing Li, Christian Szegedy, Sacha Christopher Arnoud, Martin C. Stumpe
  • Publication number: 20170286805
    Abstract: Systems and methods of identifying entities are disclosed. In particular, one or more images that depict an entity can be identified from a plurality of images. One or more candidate entity profiles can be determined from an entity directory based at least in part on the one or more images that depict the entity. The one or more images that depict the entity and the one or more candidate entity profiles can be provided as input to a machine learning model. One or more outputs of the machine learning model can be generated. Each output can include a match score associated with an image that depicts the entity and at least one candidate entity profile. The entity directory can be updated based at least in part on the one or more generated outputs of the machine learning model.
    Type: Application
    Filed: April 4, 2016
    Publication date: October 5, 2017
    Inventors: Qian Yu, Liron Yatziv, Yeqing Li, Christian Szegedy, Sacha Christopher Arnoud, Martin C. Stumpe