Patents by Inventor Nham Le

Nham Le 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).

  • Generating modified digital images utilizing a dispersed multimodal selection model
    Patent number: 11594077
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating modified digital images based on verbal and/or gesture input by utilizing a natural language processing neural network and one or more computer vision neural networks. The disclosed systems can receive verbal input together with gesture input. The disclosed systems can further utilize a natural language processing neural network to generate a verbal command based on verbal input. The disclosed systems can select a particular computer vision neural network based on the verbal input and/or the gesture input. The disclosed systems can apply the selected computer vision neural network to identify pixels within a digital image that correspond to an object indicated by the verbal input and/or gesture input. Utilizing the identified pixels, the disclosed systems can generate a modified digital image by performing one or more editing actions indicated by the verbal input and/or gesture input.
    Type: Grant
    Filed: September 18, 2020
    Date of Patent: February 28, 2023
    Assignee: Adobe Inc.
    Inventors: Trung Bui, Zhe Lin, Walter Chang, Nham Le, Franck Dernoncourt
  • GENERATING MODIFIED DIGITAL IMAGES UTILIZING A DISPERSED MULTIMODAL SELECTION MODEL
    Publication number: 20210004576
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating modified digital images based on verbal and/or gesture input by utilizing a natural language processing neural network and one or more computer vision neural networks. The disclosed systems can receive verbal input together with gesture input. The disclosed systems can further utilize a natural language processing neural network to generate a verbal command based on verbal input. The disclosed systems can select a particular computer vision neural network based on the verbal input and/or the gesture input. The disclosed systems can apply the selected computer vision neural network to identify pixels within a digital image that correspond to an object indicated by the verbal input and/or gesture input. Utilizing the identified pixels, the disclosed systems can generate a modified digital image by performing one or more editing actions indicated by the verbal input and/or gesture input.
    Type: Application
    Filed: September 18, 2020
    Publication date: January 7, 2021
    Inventors: Trung Bui, Zhe Lin, Walter Chang, Nham Le, Franck Dernoncourt
  • Generating modified digital images utilizing a multimodal selection model based on verbal and gesture input
    Patent number: 10817713
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating modified digital images based on verbal and/or gesture input by utilizing a natural language processing neural network and one or more computer vision neural networks. The disclosed systems can receive verbal input together with gesture input. The disclosed systems can further utilize a natural language processing neural network to generate a verbal command based on verbal input. The disclosed systems can select a particular computer vision neural network based on the verbal input and/or the gesture input. The disclosed systems can apply the selected computer vision neural network to identify pixels within a digital image that correspond to an object indicated by the verbal input and/or gesture input. Utilizing the identified pixels, the disclosed systems can generate a modified digital image by performing one or more editing actions indicated by the verbal input and/or gesture input.
    Type: Grant
    Filed: November 15, 2018
    Date of Patent: October 27, 2020
    Assignee: ADOBE INC.
    Inventors: Trung Bui, Zhe Lin, Walter Chang, Nham Le, Franck Dernoncourt
  • GENERATING MODIFIED DIGITAL IMAGES UTILIZING A MULTIMODAL SELECTION MODEL BASED ON VERBAL AND GESTURE INPUT
    Publication number: 20200160042
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating modified digital images based on verbal and/or gesture input by utilizing a natural language processing neural network and one or more computer vision neural networks. The disclosed systems can receive verbal input together with gesture input. The disclosed systems can further utilize a natural language processing neural network to generate a verbal command based on verbal input. The disclosed systems can select a particular computer vision neural network based on the verbal input and/or the gesture input. The disclosed systems can apply the selected computer vision neural network to identify pixels within a digital image that correspond to an object indicated by the verbal input and/or gesture input. Utilizing the identified pixels, the disclosed systems can generate a modified digital image by performing one or more editing actions indicated by the verbal input and/or gesture input.
    Type: Application
    Filed: November 15, 2018
    Publication date: May 21, 2020
    Inventors: Trung Bui, Zhe Lin, Walter Chang, Nham Le, Franck Dernoncourt