Patents by Inventor Houjing HUANG

Houjing HUANG 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: 11836619
    Abstract: An image processing method, a related device, and a computer storage medium are provided. The method includes: obtaining a feature intensity image corresponding to a training image, where an intensity value of a pixel in the feature intensity image is used to indicate importance of the pixel for recognizing the training image, and resolution of the training image is the same as resolution of the feature intensity image; and occluding, based on the feature intensity image, a to-be-occluded region in the training image by using a preset window, to obtain a new image, where the to-be-occluded region includes a to-be-occluded pixel, and the new image is used to update an image recognition model. According to the embodiments of the present application, a prior-art problem that a model has low accuracy and relatively poor generalization performance because of limited training data can be resolved.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: December 5, 2023
    Assignees: Huawei Technologies Co., Ltd., Institute of Automation, Chinese Academy of Sciences
    Inventors: Bailan Feng, Chunfeng Yao, Kaiqi Huang, Zhang Zhang, Xiaotang Chen, Houjing Huang, Dangwei Li
  • Publication number: 20210027094
    Abstract: Embodiments of the present invention disclose an image processing method, a related device, and a computer storage medium. The method includes: obtaining a feature intensity image corresponding to a training image, where an intensity value of a pixel in the feature intensity image is used to indicate importance of the pixel for recognizing the training image, and resolution of the training image is the same as resolution of the feature intensity image; and occluding, based on the feature intensity image, a to-be-occluded region in the training image by using a preset window, to obtain a new image, where the to-be-occluded region includes a to-be-occluded pixel, and the new image is used to update an image recognition model. According to the embodiments of the present invention, a prior-art problem that a model has low accuracy and relatively poor generalization performance because of limited training data can be resolved.
    Type: Application
    Filed: September 30, 2020
    Publication date: January 28, 2021
    Inventors: Bailan FENG, Chunfeng YAO, Kaiqi HUANG, Zhang ZHANG, Xiaotang CHEN, Houjing HUANG, Dangwei LI