Patents by Inventor Lixin DUAN

Lixin DUAN 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).

  • Publication number: 20190236098
    Abstract: Various approaches discussed herein enable browsing groups of visually similar items to an item of interest, wherein the item of interest may be identified in a query image, for example. One or more visual attributes associated with the item of interest are identified, and the visually similar items matching at least one of the visual attributes are grouped together, wherein the group is ranked according to the visually similar items' overall visual similarity to the item of interest, for example by using a visual similarity score and/or metric.
    Type: Application
    Filed: April 8, 2019
    Publication date: August 1, 2019
    Inventors: Rahul Bhotika, Lixin Duan, Oleg Rybakov, Jian Dong
  • Patent number: 10346893
    Abstract: Machine learning-based approaches are used to identify complementary sets of items, such as articles of clothing and accessories that “match,” and suggest items that would complement a given item of interest. A simulated representation of how the item of interest and the identified complementary items would look together is then generated. For example, given a particular piece of clothing or other apparel item of interest, additional items that complement the item of interest can be identified and suggested to a potential purchaser of the item. Additionally, a three-dimensional (3D) or pseudo-3D representation of a human body can be generated to model the apparel item of interest and the identified complementary apparel items to give the user an idea of how the suggested outfit would look on a user. The representation can be modified to more closely resemble a particular user.
    Type: Grant
    Filed: March 21, 2016
    Date of Patent: July 9, 2019
    Assignee: A9.com, Inc.
    Inventors: Lixin Duan, Rahul Bhotika, Song Cao
  • Patent number: 10282431
    Abstract: Various approaches discussed herein enable browsing groups of visually similar items to an item of interest, wherein the item of interest may be identified in a query image, for example. One ore more visual attributes associated with the item of interest are identified, and the visually similar items matching at least one of the visual attributes are grouped together, wherein the group is ranked according to the visually similar items' overall visual similarity to the item of interest, for example by using a visual similarity score and/or metric.
    Type: Grant
    Filed: December 18, 2015
    Date of Patent: May 7, 2019
    Assignee: A9.COM, INC.
    Inventors: Rahul Bhotika, Lixin Duan, Oleg Rybakov, Jian Dong
  • Patent number: 10145669
    Abstract: A method and system are proposed to obtain a reduced speckle noise image of a subject from optical coherence tomography (OCT) image data of the subject. The cross sectional images each comprise a plurality of scan lines obtained by measuring the time delay of light reflected, in a depth direction, from optical interfaces within the subject. The method comprises two aligning steps. First the cross sectional images are aligned, then image patches of the aligned cross sectional images are aligned to form a set of aligned patches. An image matrix is then formed from the aligned patches; and matrix completion is applied to the image matrix to obtain a reduced speckle noise image of the subject.
    Type: Grant
    Filed: June 16, 2015
    Date of Patent: December 4, 2018
    Assignees: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH, KABUSHIKI KAISHA TOPCON
    Inventors: Jun Cheng, Jiang Liu, Lixin Duan, Yanwu Xu, Wing Kee Damon Wong, Masahiro Akiba
  • Publication number: 20170358077
    Abstract: A method and apparatus for aligning a two-dimensional eye image with a predefined axis by rotation at a rotation angle are disclosed, the method comprising deriving the rotation angle and a de-noised image, which minimises a cost function comprising (i) a complexity measure of the de-noised image and (ii) magnitude of a noise image obtained by rotating the first image by the rotation angle and subtracting the de-noised image.
    Type: Application
    Filed: December 23, 2015
    Publication date: December 14, 2017
    Applicants: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH, SINGAPORE HEALTH SERVICES PTE LTD
    Inventors: Yanwu XU, Jiang LIU, Lixin DUAN, Wing Kee Damon WONG, Tin AUNG, Baskaran MANI, Shamira PERERA
  • Publication number: 20170131082
    Abstract: A method and system are proposed to obtain a reduced speckle noise image of a subject from optical coherence tomography (OCT) image data of the subject. The cross sectional images each comprise a plurality of scan lines obtained by measuring the time delay of light reflected, in a depth direction, from optical interfaces within the subject. The method comprises two aligning steps. First the cross sectional images are aligned, then image patches of the aligned cross sectional images are aligned to form a set of aligned patches. An image matrix is then formed from the aligned patches; and matrix completion is applied to the image matrix to obtain a reduced speckle noise image of the subject.
    Type: Application
    Filed: June 16, 2015
    Publication date: May 11, 2017
    Inventors: Jun CHENG, Jiang LIU, Lixin DUAN, Yanwu XU, Wing Kee Damon WONG, Masahiro AKIBA