Patents by Inventor Zixuan Yang

Zixuan Yang 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).

  • Coarse-to-fine hand detection method using deep neural network
    Patent number: 10817716
    Abstract: Embodiments provide a process to identify one or more areas containing a hand or hands of one or more subjects in an image. The detection process can start with coarsely locating one or more segments in the image that contain portions of the hand(s) of the subject(s) in the image using a coarse CNN. The detection process can then combine these segments to obtain the one or more areas capturing the hand(s) of the subject(s) in the image. The combined area(s) can then be fed to a grid-based deep neural network finely detect area(s) in the image that contain only the hand(s) of the subject(s) captured.
    Type: Grant
    Filed: December 20, 2018
    Date of Patent: October 27, 2020
    Assignees: MIDEA GROUP CO., LTD., SEETATECH (BEIJING) TECHNOLOGY CO., LTD.
    Inventors: Zixuan Yang, Dahai Yu, Zhuang Liu, Junyang Zhou, Xiujuan Chai, Shiguang Shan, Xilin Chen
  • COARSE-TO-FINE HAND DETECTION METHOD USING DEEP NEURAL NETWORK
    Publication number: 20190122041
    Abstract: Embodiments provide a process to identify one or more areas containing a hand or hands of one or more subjects in an image. The detection process can start with coarsely locating one or more segments in the image that contain portions of the hand(s) of the subject(s) in the image using a coarse CNN. The detection process can then combine these segments to obtain the one or more areas capturing the hand(s) of the subject(s) in the image. The combined area(s) can then be fed to a grid-based deep neural network finely detect area(s) in the image that contain only the hand(s) of the subject(s) captured.
    Type: Application
    Filed: December 20, 2018
    Publication date: April 25, 2019
    Inventors: Zixuan Yang, Dahai Yu, Zhuang Liu, Junyang Zhou, Xiujuan Chai, Shiguang Shan, Xilin Chen