Patents by Inventor Hui Peng Hu

Hui Peng Hu 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: 11868394
    Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
    Type: Grant
    Filed: October 20, 2021
    Date of Patent: January 9, 2024
    Assignee: DST Technologies, Inc.
    Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
  • Patent number: 11861471
    Abstract: A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.
    Type: Grant
    Filed: December 16, 2021
    Date of Patent: January 2, 2024
    Assignee: DST Technologies, Inc.
    Inventors: Hui Peng Hu, Ramesh Sridharan
  • Patent number: 11847418
    Abstract: A technique making use of a few-shot model to determine whether a query text content belongs to a same language as a small set of examples, or alternatively provide a next member in the same language to the small set of examples. The related few-shot model makes use of convolutional models that are trained in a “learning-to-learn” fashion such that the models know how to evaluate few-shots that belong to the same language. The term “language” in this usage is broader than spoken languages (e.g., English, Spanish, German, etc.). “Language” refers to a category, or data domain, of expression through characters. Belonging to a given language is not specifically based on what the language is, but the customs or traits expressed in that language.
    Type: Grant
    Filed: June 17, 2021
    Date of Patent: December 19, 2023
    Assignee: DST Technologies, Inc.
    Inventor: Hui Peng Hu
  • Publication number: 20220172500
    Abstract: A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.
    Type: Application
    Filed: December 16, 2021
    Publication date: June 2, 2022
    Inventors: Hui Peng Hu, Ramesh Sridharan
  • Patent number: 11308319
    Abstract: A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: April 19, 2022
    Assignee: DST Technologies, Inc.
    Inventors: Hui Peng Hu, Ramesh Sridharan
  • Publication number: 20220044055
    Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
    Type: Application
    Filed: October 20, 2021
    Publication date: February 10, 2022
    Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
  • Patent number: 11238275
    Abstract: A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.
    Type: Grant
    Filed: November 8, 2019
    Date of Patent: February 1, 2022
    Assignee: DST Technologies, Inc.
    Inventors: Hui Peng Hu, Ramesh Sridharan
  • Publication number: 20210374354
    Abstract: A technique making use of a few-shot model to determine whether a query text content belongs to a same language as a small set of examples, or alternatively provide a next member in the same language to the small set of examples. The related few-shot model makes use of convolutional models that are trained in a “learning-to-learn” fashion such that the models know how to evaluate few-shots that belong to the same language. The term “language” in this usage is broader than spoken languages (e.g., English, Spanish, German, etc.). “Language” refers to a category, or data domain, of expression through characters. Belonging to a given language is not specifically based on what the language is, but the customs or traits expressed in that language.
    Type: Application
    Filed: June 17, 2021
    Publication date: December 2, 2021
    Inventor: Hui Peng Hu
  • Patent number: 11182640
    Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
    Type: Grant
    Filed: August 2, 2019
    Date of Patent: November 23, 2021
    Assignee: DST Technologies, Inc.
    Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
  • Patent number: 11062092
    Abstract: A technique making use of a few-shot model to determine whether a query text content belongs to a same language as a small set of examples, or alternatively provide a next member in the same language to the small set of examples. The related few-shot model makes use of convolutional models that are trained in a “learning-to-learn” fashion such that the models know how to evaluate few-shots that belong to the same language. The term “language” in this usage is broader than spoken languages (e.g., English, Spanish, German, etc.). “Language” refers to a category, or data domain, of expression through characters. Belonging to a given language is not specifically based on what the language is, but the customs or traits expressed in that language.
    Type: Grant
    Filed: May 15, 2019
    Date of Patent: July 13, 2021
    Assignee: DST TECHNOLOGIES, INC.
    Inventor: Hui Peng Hu
  • Publication number: 20210142054
    Abstract: A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.
    Type: Application
    Filed: November 27, 2019
    Publication date: May 13, 2021
    Inventors: Hui Peng Hu, Ramesh Sridharan
  • Publication number: 20210142053
    Abstract: A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.
    Type: Application
    Filed: November 8, 2019
    Publication date: May 13, 2021
    Inventors: Hui Peng Hu, Ramesh Sridharan
  • Publication number: 20210049401
    Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
    Type: Application
    Filed: August 2, 2019
    Publication date: February 18, 2021
    Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
  • Publication number: 20200364302
    Abstract: A technique making use of a few-shot model to determine whether a query text content belongs to a same language as a small set of examples, or alternatively provide a next member in the same language to the small set of examples. The related few-shot model makes use of convolutional models that are trained in a “learning-to-learn” fashion such that the models know how to evaluate few-shots that belong to the same language. The term “language” in this usage is broader than spoken languages (e.g., English, Spanish, German, etc.). “Language” refers to a category, or data domain, of expression through characters. Belonging to a given language is not specifically based on what the language is, but the customs or traits expressed in that language.
    Type: Application
    Filed: May 15, 2019
    Publication date: November 19, 2020
    Inventor: Hui Peng Hu
  • Patent number: 10824801
    Abstract: Methods, apparatuses, and embodiments related to interactively predicting fields in a form. A computer system received an image of a form. A user moves a cursor to a first field of the form, and the computer system automatically displays a predicted location of the field, including a bounding box that represents a boundary of the field. The computer system further predicts the field name/label based on text in the document. The user clicks on the field to indicate that he wants to digitize the field. When needed, the user interactively modifies the size of the bounding box that represents the extent of the field, changes the name/label of the field. Once finalized, the user can cause the field information (e.g., the bounding box coordinate, the bounding box location, the name/label of the field, etc.) to be written to a database.
    Type: Grant
    Filed: January 16, 2019
    Date of Patent: November 3, 2020
    Assignee: Captricity, Inc.
    Inventor: Hui Peng Hu
  • Patent number: 10803309
    Abstract: Disclosed are a method and apparatus for determining a given variation of a form used by a filled in instance of that type of form from amongst a number of form templates. The given instance is aligned to each of the variants or form templates. The result of the alignment includes a series of key points that did not match up well (“bad” key points). The bad key points are taken from the form templates. Then, a set of pixel patches from around each of the bad key points of the form templates are extracted. The pixel patches are individually compared to corresponding pixel patches of the instance. The comparison generates a match score. The form template having the greatest match score is the correct form template.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: October 13, 2020
    Assignee: Captricity, Inc.
    Inventors: Ramesh Sridharan, Michail Iliadis, Hui Peng Hu
  • Patent number: 10373012
    Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
    Type: Grant
    Filed: April 10, 2017
    Date of Patent: August 6, 2019
    Assignee: CAPTRICITY, INC.
    Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
  • Publication number: 20190220508
    Abstract: Methods, apparatuses, and embodiments related to interactively predicting fields in a form. A computer system received an image of a form. A user moves a cursor to a first field of the form, and the computer system automatically displays a predicted location of the field, including a bounding box that represents a boundary of the field. The computer system further predicts the field name/label based on text in the document. The user clicks on the field to indicate that he wants to digitize the field. When needed, the user interactively modifies the size of the bounding box that represents the extent of the field, changes the name/label of the field. Once finalized, the user can cause the field information (e.g., the bounding box coordinate, the bounding box location, the name/label of the field, etc.) to be written to a database.
    Type: Application
    Filed: January 16, 2019
    Publication date: July 18, 2019
    Inventor: Hui Peng Hu
  • Publication number: 20190197304
    Abstract: Disclosed are a method and apparatus for determining a given variation of a form used by a filled in instance of that type of form from amongst a number of form templates. The given instance is aligned to each of the variants or form templates. The result of the alignment includes a series of key points that did not match up well (“bad” key points). The bad key points are taken from the form templates. Then, a set of pixel patches from around each of the bad key points of the form templates are extracted. The pixel patches are individually compared to corresponding pixel patches of the instance. The comparison generates a match score. The form template having the greatest match score is the correct form template.
    Type: Application
    Filed: December 21, 2018
    Publication date: June 27, 2019
    Inventors: Ramesh Sridharan, Michail Iliadis, Hui Peng Hu
  • Patent number: 10235583
    Abstract: Disclosed are a method and apparatus for storing and/or digitizing documents that preserves the confidentiality of the documents. The technology includes a process, referred to herein as “shredding”, that extracts portions of a digitized document, such as a scanned document or an image file, to create “shreds.” A shred can be, for example, a field of a form, a portion of a photo, etc. In some embodiments where the source document includes confidential information, each individual shred does not include the confidential information and, with information of only one shred, a person cannot obtain the confidential information. As a result, while the source document needs to be stored in a secure fashion to prevent disclosure of the confidential information, the shreds can be stored in a non-secure fashion without risking disclosure of the confidential information.
    Type: Grant
    Filed: February 23, 2016
    Date of Patent: March 19, 2019
    Assignee: CAPTRICITY, INC.
    Inventors: Kuang Chen, Hui Peng Hu, Yoriyasu Yano, Nicholas Andre Jalbert