Patents by Inventor Joo Chan LEE

Joo Chan LEE 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).

  • Display device with higher screen-to-body ratio
    Patent number: 11940837
    Abstract: A display that includes a display panel and a window laminated with the display panel is presented. The display panel may include: a main panel region including a first side extending in a first direction and a second side extending in a second direction crossing the first direction; a first sub-panel region that is in contact with the first side and is bent; and a second sub-panel region that is in contact with the second side and is bent. A panel corner part of the main panel region adjacent to the first sub-panel region and the second sub-panel region is rounded.
    Type: Grant
    Filed: May 29, 2019
    Date of Patent: March 26, 2024
    Assignee: Samsung Display Co., Ltd.
    Inventors: Seung-Hwan Cho, Jong Hyun Choi, Ju Chan Park, Joo Sun Yoon, Jong Hyuk Lee
  • DEEP NEURAL NETWORK-BASED REAL-TIME INFERENCE METHOD, AND CLOUD DEVICE AND EDGE DEVICE PERFORMING DEEP NEURAL NETWORK-BASED REAL-TIME INFERENCE METHOD
    Publication number: 20230386192
    Abstract: The present disclosure relates to a deep neural network-based real-time inference apparatus, system, and method, and more particularly, to a deep neural network-based real-time inference apparatus, system, and method capable of accelerating image inference.
    Type: Application
    Filed: May 31, 2023
    Publication date: November 30, 2023
    Applicant: Research & Business Foundation SUNGKYUNKWAN UNIVERSITY
    Inventors: Joo Chan LEE, Jong Hwan KO
  • DEEP NEURAL NETWORK-BASED OBJECT DETECTION METHOD, AND CLOUD SEVER AND EDGE DEVICE PERFORMING DEEP NEURAL NETWORK-BASED OBJECT DETECTION METHOD
    Publication number: 20230368518
    Abstract: The present disclosure relates to a deep neural network-based object detection device, system, and method, and more particularly, to a deep neural network-based object detection device, system, and method capable of rapidly detecting an object in an image in real time.
    Type: Application
    Filed: May 16, 2023
    Publication date: November 16, 2023
    Applicant: Research & Business Foundation SUNGKYUNKWAN UNIVERSITY
    Inventors: Joo Chan LEE, Jong Hwan KO