Patents by Inventor Pei-Yuan Chien

Pei-Yuan Chien 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).

  • OBJECT DETECTION MODELS ADJUSTMENTS
    Publication number: 20240185586
    Abstract: Examples of electronic devices are described herein. In some examples, an electronic device includes a processor to generate an evaluation image dataset to determine precision of a machine learning object detection model. In some examples, the processor is to run the evaluation image dataset on the object detection model to identify a misdetection region in the evaluation image dataset. In some examples, the processor is to generate a training image dataset to adjust the object detection model based on the identified misdetection region.
    Type: Application
    Filed: April 13, 2021
    Publication date: June 6, 2024
    Applicant: Hewlett-Packard Development Company, L.P.
    Inventors: Hong-Wei Chou, Pei-Yuan Chien, Peter Siyuan Zhang
  • Adaptation of one shot machine learning model trained on other registered images of other content for usage to instead identify whether input image includes content of registered images
    Patent number: 11630882
    Abstract: Registered, first unregistered, and second unregistered encodings are generated for registered images of content, first unregistered images of the content, and second unregistered images of different content, respectively. First and second distance matrices having rows respectively corresponding to the first and second unregistered encodings are generated based on the registered encodings and the first and second unregistered encodings, respectively. A statistic is selected having a greatest difference between first and second distance vectors having values corresponding to the rows of the first and second distance matrices, respectively. Whether content of a new unregistered image corresponds to the content of the registered images is assessed by using the selected statistic.
    Type: Grant
    Filed: April 23, 2021
    Date of Patent: April 18, 2023
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Pei-Yuan Chien, Hong-Wei Chou, Peter Zhang
  • ASSESSMENT OF WHETHER CONTENT OF UNREGISTERED IMAGE CORRESPONDS TO CONTENT OF REGISTERED IMAGES
    Publication number: 20220343114
    Abstract: Registered, first unregistered, and second unregistered encodings are generated for registered images of content, first unregistered images of the content, and second unregistered images of different content, respectively. First and second distance matrices having rows respectively corresponding to the first and second unregistered encodings are generated based on the registered encodings and the first and second unregistered encodings, respectively. A statistic is selected having a greatest difference between first and second distance vectors having values corresponding to the rows of the first and second distance matrices, respectively. Whether content of a new unregistered image corresponds to the content of the registered images is assessed by using the selected statistic.
    Type: Application
    Filed: April 23, 2021
    Publication date: October 27, 2022
    Inventors: Pei-Yuan Chien, Hong-Wei Chou, Peter Zhang