Patents by Inventor Matthew John Cooper

Matthew John Cooper 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).

  • Patent number: 11434190
    Abstract: Disclosed are compounds of a formula provided herein that show efficacy in the inhibition of SOX18 protein activity, and in particular with respect to the ability of SOX18 to bind DNA and/or particular protein partners. Further, methods of treating angiogenesis- and/or lymphangiogenesis-related diseases, disorders or conditions, such as cancer metastasis and vascular cancers, are provided herein.
    Type: Grant
    Filed: December 21, 2017
    Date of Patent: September 6, 2022
    Assignee: THE UNIVERSITY OF QUEENSLAND
    Inventors: Mathias Francois, Johannes Zuegg, Jeroen Overman, Sreeman Kumar Mamidyala, Angela Aguslyarti Salim, Frank Roger Fontaine, Matthew Allister Cooper, Robert John Capon, Avril Alexis Barbara Robertson
  • Publication number: 20220108130
    Abstract: Systems and methods for training machine models with augmented data. An example method includes identifying a set of images captured by a set of cameras while affixed to one or more image collection systems. For each image in the set of images, a training output for the image is identified. For one or more images in the set of images, an augmented image for a set of augmented images is generated. Generating an augmented image includes modifying the image with an image manipulation function that maintains camera properties of the image. The augmented training image is associated with the training output of the image. A set of parameters of the predictive computer model are trained to predict the training output based on an image training set including the images and the set of augmented images.
    Type: Application
    Filed: December 14, 2021
    Publication date: April 7, 2022
    Inventors: Matthew John Cooper, Paras Jagdish Jain, Harsimran Singh Sidhu
  • Patent number: 11205093
    Abstract: Systems and methods for training machine models with augmented data. An example method includes identifying a set of images captured by a set of cameras while affixed to one or more image collection systems. For each image in the set of images, a training output for the image is identified. For one or more images in the set of images, an augmented image for a set of augmented images is generated. Generating an augmented image includes modifying the image with an image manipulation function that maintains camera properties of the image. The augmented training image is associated with the training output of the image. A set of parameters of the predictive computer model are trained to predict the training output based on an image training set including the images and the set of augmented images.
    Type: Grant
    Filed: October 10, 2019
    Date of Patent: December 21, 2021
    Assignee: Tesla, Inc.
    Inventors: Matthew John Cooper, Paras Jagdish Jain, Harsimran Singh Sidhu
  • Publication number: 20200117953
    Abstract: Systems and methods for training machine models with augmented data. An example method includes identifying a set of images captured by a set of cameras while affixed to one or more image collection systems. For each image in the set of images, a training output for the image is identified. For one or more images in the set of images, an augmented image for a set of augmented images is generated. Generating an augmented image includes modifying the image with an image manipulation function that maintains camera properties of the image. The augmented training image is associated with the training output of the image. A set of parameters of the predictive computer model are trained to predict the training output based on an image training set including the images and the set of augmented images.
    Type: Application
    Filed: October 10, 2019
    Publication date: April 16, 2020
    Inventors: Matthew John Cooper, Paras Jain, Harsimran Singh Sidhu