Patents by Inventor Kareem Metwaly

Kareem Metwaly 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).

  • Systems and methods for training a style model
    Patent number: 11941081
    Abstract: System, methods, and other embodiments described herein relate to training a model to stylize low-light images for improved perception. In one embodiment, a method includes encoding, by a style model, an input image to identify first content information. The method also includes decoding, by the style model, the first content information into an albedo component and a shading component. The method also includes generating, by the style model, a synthetic image using the albedo component and the shading component. The method also includes training the style model according to computed losses between the input image and the synthetic image.
    Type: Grant
    Filed: June 18, 2021
    Date of Patent: March 26, 2024
    Assignee: Toyota Motor Engineering & Manufacturing North America, Inc.
    Inventors: Kareem Metwaly, Rui Guo, Xuewei Qi, Kentaro Oguchi
  • Systems and methods for predicting depth using style transfer
    Patent number: 11935254
    Abstract: System, methods, and other embodiments described herein relate to improving depth prediction for objects within a low-light image using a style model. In one embodiment, a method includes encoding, by a style model, an input image to identify content information. The method also includes decoding, by the style model, the content information into an albedo component and a shading component. The method also includes generating, by the style model, a synthetic image using the albedo component and the shading component. The method also includes providing the synthetic image to a depth model.
    Type: Grant
    Filed: June 9, 2021
    Date of Patent: March 19, 2024
    Assignee: Toyota Motor Engineering & Manufacturing North America, Inc.
    Inventors: Rui Guo, Xuewei Qi, Kentaro Oguchi, Kareem Metwaly
  • SYSTEMS AND METHODS FOR TRAINING A STYLE MODEL
    Publication number: 20220405530
    Abstract: System, methods, and other embodiments described herein relate to training a model to stylize low-light images for improved perception. In one embodiment, a method includes encoding, by a style model, an input image to identify first content information. The method also includes decoding, by the style model, the first content information into an albedo component and a shading component. The method also includes generating, by the style model, a synthetic image using the albedo component and the shading component. The method also includes training the style model according to computed losses between the input image and the synthetic image.
    Type: Application
    Filed: June 18, 2021
    Publication date: December 22, 2022
    Inventors: Kareem Metwaly, Rui Guo, Xuewei Qi, Kentaro Oguchi
  • SYSTEMS AND METHODS FOR PREDICTING DEPTH USING STYLE TRANSFER
    Publication number: 20220398757
    Abstract: System, methods, and other embodiments described herein relate to improving depth prediction for objects within a low-light image using a style model. In one embodiment, a method includes encoding, by a style model, an input image to identify content information. The method also includes decoding, by the style model, the content information into an albedo component and a shading component. The method also includes generating, by the style model, a synthetic image using the albedo component and the shading component. The method also includes providing the synthetic image to a depth model.
    Type: Application
    Filed: June 9, 2021
    Publication date: December 15, 2022
    Inventors: Rui Guo, Xuewei Qi, Kentaro Oguchi, Kareem Metwaly