Patents by Inventor Sutao Wang

Sutao Wang 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).

  • Automated pixel error detection using an inpainting neural network
    Patent number: 11210774
    Abstract: According to one implementation, a pixel error detection system includes a hardware processor and a system memory storing a software code. The hardware processor is configured to execute the software code to receive an input image, to mask, using an inpainting neural network (NN), one or more patch(es) of the input image, and to inpaint, using the inpainting NN, the masked patch(es) based an input image pixels neighboring each of the masked patch(es). The hardware processor is configured to further execute the software code to generate, using the inpainting NN, a residual image based on differences between the inpainted masked patch(es) and the patch(es) in the input image and to identify one or more anomalous pixel(s) in the input image using the residual image.
    Type: Grant
    Filed: March 31, 2020
    Date of Patent: December 28, 2021
    Assignees: Disney Enterprises, Inc., ETH Zürich (EIDGENÖSSISCHE TECHNISCHE HOCHSCHULE ZÜRICH)
    Inventors: Christopher Richard Schroers, Abdelaziz Djelouah, Sutao Wang, Erika Varis Doggett
  • Automated Pixel Error Detection Using an Inpainting Neural Network
    Publication number: 20210304387
    Abstract: According to one implementation, a pixel error detection system includes a hardware processor and a system memory storing a software code. The hardware processor is configured to execute the software code to receive an input image, to mask, using an inpainting neural network (NN), one or more patch(es) of the input image, and to inpaint, using the inpainting NN, the masked patch(es) based an input image pixels neighboring each of the masked patch(es). The hardware processor is configured to further execute the software code to generate, using the inpainting NN, a residual image based on differences between the inpainted masked patch(es) and the patch(es) in the input image and to identify one or more anomalous pixel(s) in the input image using the residual image.
    Type: Application
    Filed: March 31, 2020
    Publication date: September 30, 2021
    Inventors: Christopher Richard Schroers, Abdelaziz Djelouah, Sutao Wang, Erika Varis Doggett