Patents by Inventor Thanh Tung Todd Cao

Thanh Tung Todd Cao 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).

  • System and a method for generating an image recognition model and classifying an input image
    Patent number: 11869228
    Abstract: A method of generating an image recognition model for recognising an input image and a system thereof are provided. The method includes appending at least one feature extraction layer to the image recognition model, extracting a plurality of feature vectors from a set of predetermined images, grouping the plurality of feature vectors into a plurality of categories, clustering the plurality of feature vectors of each of the plurality of categories into at least one cluster, determining at least one centroid for each of the at least one cluster, such that each of the at least one cluster comprises at least one centroid, such that each of the at least one centroid is represented by a feature vector, generating a classification layer based on the feature vector of the at least one centroid of the plurality of categories, and appending the classification layer to the image recognition model. In addition, a method of classifying an input image and a system thereof are provided.
    Type: Grant
    Filed: November 6, 2020
    Date of Patent: January 9, 2024
    Assignee: VISENZE PTE LTD
    Inventors: Guangda Li, Thanh Tung Todd Cao, Zhenhua Wang, Xin Ji
  • A System and a Method for Generating an Image Recognition Model and Classifying an Input Image
    Publication number: 20230237769
    Abstract: A method of generating an image recognition model for recognising an input image and a system thereof are provided. The method includes appending at least one feature extraction layer to the image recognition model, extracting a plurality of feature vectors from a set of predetermined images, grouping the plurality of feature vectors into a plurality of categories, clustering the plurality of feature vectors of each of the plurality of categories into at least one cluster, determining at least one centroid for each of the at least one cluster, such that each of the at least one cluster comprises at least one centroid, such that each of the at least one centroid is represented by a feature vector, generating a classification layer based on the feature vector of the at least one centroid of the plurality of categories, and appending the classification layer to the image recognition model. In addition, a method of classifying an input image and a system thereof are provided.
    Type: Application
    Filed: November 6, 2020
    Publication date: July 27, 2023
    Inventors: Guangda Li, Thanh Tung Todd Cao, Zhenhua Wang, Xin Ji