Patents by Inventor Vinay Damodar Shet

Vinay Damodar Shet 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: 10339193
    Abstract: Aspects of the disclosure provide for a method for updating business information. A business at a business location and a reference image for the business at the business location may be selected for an update. From a number of more recent images, a comparison image may be selected based on a likelihood that the comparison image captures the business location. Text and visual features reference image may be compared with text and visual features of the comparison image to determine a text similarity score and a features similarity score. A confidence level indicating whether the business in the reference image is in the comparison image may then be determined using the text similarity score and the feature similarity score. According to the confidence level, the business information of the business may be updated.
    Type: Grant
    Filed: November 24, 2015
    Date of Patent: July 2, 2019
    Assignee: Google LLC
    Inventors: Martin Christian Stumpe, Liron Yatziv, Dar-Shyang Lee, Qian Yu, Oded Fuhrmann, Vinay Damodar Shet, Sacha Christophe Arnoud
  • Patent number: 10042992
    Abstract: Systems and methods of determining image characteristics are provided. More particularly, a first image having an unknown characteristic can be obtained. The first image can be provided to a plurality of user devices in a verification challenge. The verification challenge can include one or more instructions to be presented to a user of each user device. The instructions being determined based at least in part on the first image. User responses can be received, and an unknown characteristic of the first image can be determined based at least in part on the received responses. Subsequent to determining the unknown characteristic of the first image, one or more machine learning models can be trained based at least in part on the determined characteristic.
    Type: Grant
    Filed: September 11, 2017
    Date of Patent: August 7, 2018
    Assignee: Google LLC
    Inventors: Wei Liu, Vinay Damodar Shet, Ying Liu, Aaron Malenfant, Haidong Shao, Hongshu Liao, Jiexing Gu, Edison Tan
  • Publication number: 20170372048
    Abstract: Systems and methods of determining image characteristics are provided. More particularly, a first image having an unknown characteristic can be obtained. The first image can be provided to a plurality of user devices in a verification challenge. The verification challenge can include one or more instructions to be presented to a user of each user device. The instructions being determined based at least in part on the first image. User responses can be received, and an unknown characteristic of the first image can be determined based at least in part on the received responses. Subsequent to determining the unknown characteristic of the first image, one or more machine learning models can be trained based at least in part on the determined characteristic.
    Type: Application
    Filed: September 11, 2017
    Publication date: December 28, 2017
    Inventors: Wei Liu, Vinay Damodar Shet, Ying Liu, Aaron Malenfant, Haidong Shao, Hongshu Liao, Jiexing Gu, Edison Tan
  • Patent number: 9760700
    Abstract: Systems and methods of determining image characteristics are provided. More particularly, a first image having an unknown characteristic can be obtained. The first image can be provided to a plurality of user devices in a verification challenge. The verification challenge can include one or more instructions to be presented to a user of each user device. The instructions being determined based at least in part on the first image. User responses can be received, and an unknown characteristic of the first image can be determined based at least in part on the received responses. Subsequent to determining the unknown characteristic of the first image, one or more machine learning models can be trained based at least in part on the determined characteristic.
    Type: Grant
    Filed: December 3, 2015
    Date of Patent: September 12, 2017
    Assignee: Google Inc.
    Inventors: Wei Liu, Vinay Damodar Shet, Ying Liu, Aaron Malenfant, Haidong Shao, Hongshu Liao, Jiexing Gu, Edison Tan
  • Publication number: 20170161477
    Abstract: Systems and methods of determining image characteristics are provided. More particularly, a first image having an unknown characteristic can be obtained. The first image can be provided to a plurality of user devices in a verification challenge. The verification challenge can include one or more instructions to be presented to a user of each user device. The instructions being determined based at least in part on the first image. User responses can be received, and an unknown characteristic of the first image can be determined based at least in part on the received responses. Subsequent to determining the unknown characteristic of the first image, one or more machine learning models can be trained based at least in part on the determined characteristic.
    Type: Application
    Filed: December 3, 2015
    Publication date: June 8, 2017
    Inventors: Wei Liu, Vinay Damodar Shet, Ying Liu, Aaron Malenfant, Haidong Shao, Hongshu Liao, Jiexing Gu, Edison Tan
  • Publication number: 20170109615
    Abstract: Computer-implemented methods and systems for automatically classifying businesses from imagery can include providing one or more images of a location entity as input to a statistical model that can be applied to each image. A plurality of classification labels for the location entity in the one or more images can be generated and provided as an output of the statistical model. The plurality of classification labels can be generated by selecting from an ontology that identifies predetermined relationships between location entities and categories associated with corresponding classification labels at multiple levels of granularity. Confidence scores for the plurality of classification labels can be generated to indicate a likelihood level that each generated classification label is accurate for its corresponding location entity. Associations based on the classification labels generated for each image can be stored in a database and used to help retrieve relevant business information requested by a user.
    Type: Application
    Filed: October 16, 2015
    Publication date: April 20, 2017
    Inventors: Liron Yatziv, Yair Movshovitz-Attias, Qian Yu, Martin Christian Stumpe, Vinay Damodar Shet, Sacha Christophe Arnoud
  • Patent number: 9594984
    Abstract: Aspects of the present disclosure relate to a method includes training a deep neural network using training images and data identifying one or more business storefront locations in the training images. The deep neural network outputs tight bounding boxes on each image. At the deep neural network, a first image may be received. The first image may be evaluated using the deep neural network. Bounding boxes may then be generated identifying business storefront locations in the first image.
    Type: Grant
    Filed: August 7, 2015
    Date of Patent: March 14, 2017
    Assignee: Google Inc.
    Inventors: Qian Yu, Liron Yatziv, Martin Christian Stumpe, Vinay Damodar Shet, Christian Szegedy, Dumitru Erhan, Sacha Christophe Arnoud
  • Patent number: D780794
    Type: Grant
    Filed: July 12, 2016
    Date of Patent: March 7, 2017
    Assignee: Google Inc.
    Inventors: Andrew Vytas Kisielius, Vinay Damodar Shet, Jonathan Siegel, Su Chuin Leong, Aaron Michael Donsbach, Daniel Caleb Gordon, Julien Zachary Reneau-Wedeen, Paul Merrell
  • Patent number: D780795
    Type: Grant
    Filed: July 12, 2016
    Date of Patent: March 7, 2017
    Assignee: Google Inc.
    Inventors: Andrew Vytas Kisielius, Vinay Damodar Shet, Jonathan Siegel, Su Chuin Leong, Aaron Michael Donsbach, Daniel Caleb Gordon, Julien Zachary Reneau-Wedeen, Paul Merrell
  • Patent number: D780796
    Type: Grant
    Filed: July 12, 2016
    Date of Patent: March 7, 2017
    Assignee: Google Inc.
    Inventors: Andrew Vytas Kisielius, Vinay Damodar Shet, Jonathan Siegel, Su Chuin Leong, Aaron Michael Donsbach, Daniel Caleb Gordon, Julien Zachary Reneau-Wedeen, Paul Merrell
  • Patent number: D781317
    Type: Grant
    Filed: April 22, 2014
    Date of Patent: March 14, 2017
    Assignee: Google Inc.
    Inventors: Andrew Vytas Kisielius, Vinay Damodar Shet, Jonathan Siegel, Su Chuin Leong, Aaron Michael Donsbach, Daniel Caleb Gordon, Julien Zachary Reneau-Wedeen, Paul Merrell
  • Patent number: D781318
    Type: Grant
    Filed: April 22, 2014
    Date of Patent: March 14, 2017
    Assignee: Google Inc.
    Inventors: Andrew Vytas Kisielius, Vinay Damodar Shet, Jonathan Siegel, Su Chuin Leong, Aaron Michael Donsbach, Daniel Caleb Gordon, Julien Zachary Reneau-Wedeen, Paul Merrell
  • Patent number: D781337
    Type: Grant
    Filed: July 8, 2016
    Date of Patent: March 14, 2017
    Assignee: Google Inc.
    Inventors: Andrew Vytas Kisielius, Vinay Damodar Shet, Jonathan Siegel, Su Chuin Leong, Aaron Michael Donsbach, Daniel Caleb Gordon, Julien Zachary Reneau-Wedeen, Paul Merrell
  • Patent number: D791811
    Type: Grant
    Filed: July 21, 2016
    Date of Patent: July 11, 2017
    Assignee: Google Inc.
    Inventors: Andrew Vytas Kisielius, Vinay Damodar Shet, Jonathan Siegel, Su Chuin Leong, Aaron Michael Donsbach, Daniel Caleb Gordon, Julien Zachary Reneau-Wedeen, Paul Merrell
  • Patent number: D791813
    Type: Grant
    Filed: January 13, 2017
    Date of Patent: July 11, 2017
    Assignee: Google Inc.
    Inventors: Andrew Vytas Kisielius, Vinay Damodar Shet, Jonathan Siegel, Su Chuin Leong, Aaron Michael Donsbach, Daniel Caleb Gordon, Julien Zachary Reneau-Wedeen, Paul Merrell
  • Patent number: D792460
    Type: Grant
    Filed: January 13, 2017
    Date of Patent: July 18, 2017
    Assignee: Google Inc.
    Inventors: Andrew Vytas Kisielius, Vinay Damodar Shet, Jonathan Siegel, Su Chuin Leong, Aaron Michael Donsbach, Daniel Caleb Gordon, Julien Zachary Reneau-Wedeen, Paul Merrell
  • Patent number: D829737
    Type: Grant
    Filed: July 22, 2016
    Date of Patent: October 2, 2018
    Assignee: Google LLC
    Inventors: Andrew Vytas Kisielius, Vinay Damodar Shet, Jonathan Siegel, Su Chuin Leong, Aaron Michael Donsbach, Daniel Caleb Gordon, Julien Zachary Reneau-Wedeen, Paul Merrell
  • Patent number: D830399
    Type: Grant
    Filed: May 30, 2017
    Date of Patent: October 9, 2018
    Assignee: Google LLC
    Inventors: Andrew Vytas Kisielius, Vinay Damodar Shet, Jonathan Siegel, Su Chuin Leong, Aaron Michael Donsbach, Daniel Caleb Gordon, Julien Zachary Reneau-Wedeen, Paul Merrell
  • Patent number: D830407
    Type: Grant
    Filed: May 30, 2017
    Date of Patent: October 9, 2018
    Assignee: Google LLC
    Inventors: Andrew Vytas Kisielius, Vinay Damodar Shet, Jonathan Siegel, Su Chuin Leong, Aaron Michael Donsbach, Daniel Caleb Gordon, Julien Zachary Reneau-Wedeen, Paul Merrell
  • Patent number: D835147
    Type: Grant
    Filed: May 30, 2017
    Date of Patent: December 4, 2018
    Assignee: Google LLC
    Inventors: Andrew Vytas Kisielius, Vinay Damodar Shet, Jonathan Siegel, Su Chuin Leong, Aaron Michael Donsbach, Daniel Caleb Gordon, Julien Zachary Reneau-Wedeen, Paul Merrell