Patents by Inventor Delun Du

Delun Du 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).

  • Detecting objects using a weakly supervised model
    Patent number: 11367273
    Abstract: The present disclosure is directed toward systems and methods for detecting an object in an input image based on a target object keyword. For example, one or more embodiments described herein generate a heat map of the input image based on the target object keyword and generate various bounding boxes based on a pixel analysis of the heat map. One or more embodiments described herein then utilize the various bounding boxes to determine scores for generated object location proposals in order to provide a highest scoring object location proposal overlaid on the input image.
    Type: Grant
    Filed: July 2, 2020
    Date of Patent: June 21, 2022
    Assignee: Adobe Inc.
    Inventors: Delun Du, Zhe Lin, Baldo Faieta
  • DETECTING OBJECTS USING A WEAKLY SUPERVISED MODEL
    Publication number: 20200334487
    Abstract: The present disclosure is directed toward systems and methods for detecting an object in an input image based on a target object keyword. For example, one or more embodiments described herein generate a heat map of the input image based on the target object keyword and generate various bounding boxes based on a pixel analysis of the heat map. One or more embodiments described herein then utilize the various bounding boxes to determine scores for generated object location proposals in order to provide a highest scoring object location proposal overlaid on the input image.
    Type: Application
    Filed: July 2, 2020
    Publication date: October 22, 2020
    Inventors: Delun Du, Zhe Lin, Baldo Faieta
  • Detecting objects using a weakly supervised model
    Patent number: 10740647
    Abstract: The present disclosure is directed toward systems and methods for detecting an object in an input image based on a target object keyword. For example, one or more embodiments described herein generate a heat map of the input image based on the target object keyword and generate various bounding boxes based on a pixel analysis of the heat map. One or more embodiments described herein then utilize the various bounding boxes to determine scores for generated object location proposals in order to provide a highest scoring object location proposal overlaid on the input image.
    Type: Grant
    Filed: March 14, 2018
    Date of Patent: August 11, 2020
    Assignee: ADOBE INC.
    Inventors: Delun Du, Zhe Lin, Baldo Faieta
  • DETECTING OBJECTS USING A WEAKLY SUPERVISED MODEL
    Publication number: 20190286932
    Abstract: The present disclosure is directed toward systems and methods for detecting an object in an input image based on a target object keyword. For example, one or more embodiments described herein generate a heat map of the input image based on the target object keyword and generate various bounding boxes based on a pixel analysis of the heat map. One or more embodiments described herein then utilize the various bounding boxes to determine scores for generated object location proposals in order to provide a highest scoring object location proposal overlaid on the input image.
    Type: Application
    Filed: March 14, 2018
    Publication date: September 19, 2019
    Inventors: Delun Du, Zhe Lin, Baldo Faieta