Patents by Inventor Jongyeong KIM

Jongyeong KIM 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).

  • Publication number: 20240112477
    Abstract: A method of processing an image by an electronic device, includes: obtaining a label image of a label including at least one symbol associated with handling of clothing item; obtaining, from the label image, text information associated with the handling of the clothing item; identifying, from the label image, the at least one symbol associated with the handling of the clothing item, based on the text information and the label image; and obtaining handling information related to the clothing item based on the identified at least one symbol.
    Type: Application
    Filed: September 29, 2023
    Publication date: April 4, 2024
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Younguk KIM, Jongyeong Kim, Hyunhan Kim, Hyosang Kim, Chanwon Seo, Hyein Hyun
  • Publication number: 20240071115
    Abstract: A method performed by a server, may include: obtaining an image including a first text and a second text overlapping the first text; separating a first text region corresponding to the first text from the image; extracting pixels corresponding to the first text from the first text region to obtain an undamaged portion and a damaged portion of the first text; and reconstructing the first text by inpainting the damaged portion of the first text in which the first text overlaps the second text in the image.
    Type: Application
    Filed: August 28, 2023
    Publication date: February 29, 2024
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Hyosang KIM, Younguk KIM, Yehoon KIM, Jongyeong KIM, Hyunhan KIM, Chanwon SEO, Hyein HYUN
  • Publication number: 20220164649
    Abstract: Disclosed is a method of splitting and reconnecting neural networks for adaptive continual learning in dynamic environments. A continual learning method of a neural network model includes a split phase for independently learning a split neural network model using an old task and a new task, and a bridge phase for reconnecting the independently learnt split neural network model and learning relation information between the old task and the new task.
    Type: Application
    Filed: July 22, 2021
    Publication date: May 26, 2022
    Applicant: INHA-INDUSTRY PARTNERSHIP INSTITUTE
    Inventors: Dongwan CHOI, Jongyeong KIM