Patents by Inventor Buyu LI

Buyu LI 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: 11348275
    Abstract: Embodiments of the present application disclose methods and apparatuses for determining a bounding box of a target object, media, and devices. The method includes: obtaining attribute information of each of a plurality of key points of a target object; and determining a bounding box position of the target object according to the attribute information of each of the plurality of key points of the target object and to a preset neural network. The implementations of the present application can improve the efficiency and accuracy of determining a bounding box of a target object.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: May 31, 2022
    Assignee: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO. LTD.
    Inventors: Buyu Li, Quanquan Li, Junjie Yan
  • Patent number: 10977523
    Abstract: Methods, apparatuses and electronic devices for identifying an object category include: determining M key point neighborhood regions from corresponding object candidate boxes according to position information of M key points in a plurality of object candidate boxes of an image to be detected, where M is less than or equal to the total number of key points of N preset object categories, and M and N are positive integers; and determining category information of at least one object in the image to be detected using a convolutional neural network model used for identifying an object category in the image according to the M key point neighborhood regions.
    Type: Grant
    Filed: May 27, 2019
    Date of Patent: April 13, 2021
    Assignee: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD
    Inventors: Buyu Li, Junjie Yan
  • Publication number: 20200134859
    Abstract: Embodiments of the present application disclose methods and apparatuses for determining a bounding box of a target object, media, and devices. The method includes: obtaining attribute information of each of a plurality of key points of a target object; and determining a bounding box position of the target object according to the attribute information of each of the plurality of key points of the target object and to a preset neural network. The implementations of the present application can improve the efficiency and accuracy of determining a bounding box of a target object.
    Type: Application
    Filed: December 31, 2019
    Publication date: April 30, 2020
    Inventors: Buyu Li, Quanquan Li, Junjie Yan
  • Publication number: 20190279045
    Abstract: Methods, apparatuses and electronic devices for identifying an object category include: determining M key point neighborhood regions from corresponding object candidate boxes according to position information of M key points in a plurality of object candidate boxes of an image to be detected, where M is less than or equal to the total number of key points of N preset object categories, and M and N are positive integers; and determining category information of at least one object in the image to be detected using a convolutional neural network model used for identifying an object category in the image according to the M key point neighborhood regions.
    Type: Application
    Filed: May 27, 2019
    Publication date: September 12, 2019
    Applicant: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD
    Inventors: Buyu LI, Junjie YAN