Patents by Inventor Shahar Tsiper

Shahar Tsiper 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: 11341605
    Abstract: Techniques for document rectification via homography recovery using machine learning are described. An image rectification system can intelligently make use of multiple pipelines for rectifying document images based on the detected type of device that generated the images. The image rectification system can provide high-quality rectifications without requiring human cooperation, multiple views of the document in multiple images, and/or without being constrained to only be able to process images from one source context.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: May 24, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Kunwar Yashraj Singh, Amit Adam, Shahar Tsiper, Gal Sabina Star, Roee Litman, Hadar Averbuch Elor, Vijay Mahadevan, Rahul Bhotika, Shai Mazor, Mohammed El Hamalawi
  • Patent number: 11308354
    Abstract: Techniques for recognizing text in an image are described. An exemplary method may include receiving a request to recognize text in an image; extracting features from the image and generating a visual feature sequence from the extracted features; performing selective contextual refinement at least one selective contextual refinement block of a stack of selective contextual refinement blocks to generate a text prediction by: generating a contextual feature map and combining the contextual feature map with the visual feature sequence into a visual feature space, and applying a selective decoder that utilizes a two-step attention on the visual feature space to generate a text prediction, wherein the two-step attention includes performing a 1-D self-attention computation to generate attentional features and decoding the attentional features to generate the text prediction; and outputting the generated text prediction.
    Type: Grant
    Filed: March 30, 2020
    Date of Patent: April 19, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Ron Litman, Oron Anschel, Shahar Tsiper, Roee Litman, Shai Mazor, Jonathan Wu, Raghavan Manmatha
  • Patent number: 11257006
    Abstract: Techniques for auto-generation of annotated real-world training data are described. An electronic document is analyzed to determine text represented in the document and corresponding locations of the text. A representation of the electronic document is modified to include markers and printed. The printed document is photographed in real-world environments, and the markers within the digital photographs are analyzed to allow for the depiction of the document within the photographs to be rectified. The text and location data are used to annotate the rectified images.
    Type: Grant
    Filed: November 20, 2018
    Date of Patent: February 22, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Oron Anschel, Amit Adam, Shahar Tsiper, Hadar Averbuch Elor, Shai Mazor, Rahul Bhotika, Stefano Soatto