Patents by Inventor Fuhu DENG

Fuhu DENG 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: 12056841
    Abstract: A generative adversarial network used for image shape transformation. The image shape transformation includes generating a segmentation mask of an image to be transformed and constructing a generator and a discriminator. The image shape transformation further includes constructing the generative adversarial network through the generator and the discriminator, constructing a loss function, training the generative adversarial network by a gradient descent method according to the loss function, and inputting the segmentation mask of the image to be transformed into the trained generative adversarial network to obtain an image shape transformation result.
    Type: Grant
    Filed: October 13, 2021
    Date of Patent: August 6, 2024
    Assignee: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA
    Inventors: Zhen Qin, Yi Ding, Tianming Zhuang, Fuhu Deng, Zhiguang Qin
  • Patent number: 12028451
    Abstract: A key generation method based on a deep learning generative adversarial network includes: preparing a training set image; construction of a key generation network: constructing the key generation network according to a generator network and a discriminator network, and inputting the training set image to the key generation network; and training of the key generation network: training the key generation network by a deep learning method to generate a key.
    Type: Grant
    Filed: June 2, 2021
    Date of Patent: July 2, 2024
    Assignee: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA
    Inventors: Yi Ding, Zhen Qin, Fuyuan Tan, Fuhu Deng, Zhiguang Qin
  • Publication number: 20220318946
    Abstract: A method for image shape transformation based on a generative adversarial network includes the following steps: generating a segmentation mask of an image to be transformed; constructing a generator and a discriminator, and constructing the generative adversarial network through the generator and the discriminator; constructing a loss function, and training the generative adversarial network by a gradient descent method according to the loss function; and inputting the segmentation mask of the image to be transformed into the trained generative adversarial network to obtain an image shape transformation result.
    Type: Application
    Filed: October 13, 2021
    Publication date: October 6, 2022
    Applicant: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA
    Inventors: Zhen QIN, Yi DING, Tianming ZHUANG, Fuhu DENG, Zhiguang QIN
  • Publication number: 20210385081
    Abstract: A key generation method based on a deep learning generative adversarial network includes: preparing a training set image; construction of a key generation network: constructing the key generation network according to a generator network and a discriminator network, and inputting the training set image to the key generation network; and training of the key generation network: training the key generation network by a deep learning method to generate a key.
    Type: Application
    Filed: June 2, 2021
    Publication date: December 9, 2021
    Applicant: University of Electronic Science and Technology of China
    Inventors: Yi DING, Zhen QIN, Fuyuan TAN, Fuhu DENG, Zhiguang QIN