Patents by Inventor Pavel Valeryevich Borin

Pavel Valeryevich Borin 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).

  • Training image-processing neural networks by synthetic photorealistic indicia-bearing images
    Patent number: 10872271
    Abstract: Systems and methods for training image processing neural networks by synthetic photorealistic indicia-bearing images. An example method comprises: generating an initial set of images, wherein each image of the initial set of images comprises a rendering of a text string; producing an augmented set of images by processing the initial set of images to introduce, into each image of the initial set of image, at least one simulated image defect; generating a training dataset comprising a plurality of pairs of images, wherein each pair of images comprises a first image selected from the initial set of images and a second image selected from the augmented set of images; and training, using the training dataset, a convolutional neural network for image processing.
    Type: Grant
    Filed: September 21, 2018
    Date of Patent: December 22, 2020
    Assignee: ABBYY PRODUCTION LLC
    Inventors: Ivan Germanovich Zagaynov, Pavel Valeryevich Borin
  • TRAINING IMAGE-PROCESSING NEURAL NETWORKS BY SYNTHETIC PHOTOREALISTIC INDICIA-BEARING IMAGES
    Publication number: 20200089998
    Abstract: Systems and methods for training image processing neural networks by synthetic photorealistic indicia-bearing images. An example method comprises: generating an initial set of images, wherein each image of the initial set of images comprises a rendering of a text string; producing an augmented set of images by processing the initial set of images to introduce, into each image of the initial set of image, at least one simulated image defect; generating a training dataset comprising a plurality of pairs of images, wherein each pair of images comprises a first image selected from the initial set of images and a second image selected from the augmented set of images; and training, using the training dataset, a convolutional neural network for image processing.
    Type: Application
    Filed: September 21, 2018
    Publication date: March 19, 2020
    Inventors: Ivan Germanovich Zagaynov, Pavel Valeryevich Borin