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    Image cleanup on a mobile device
    11.
    发明授权
    Image cleanup on a mobile device 有权

    公开(公告)号：US11803944B2

    公开(公告)日：2023-10-31

    申请号：US18120309

    申请日：2023-03-10

    Applicant: eBay Inc.

    Inventor： Qiaosong Wang

    IPC: G06T7/149 ,  G06T5/00 ,  G06T7/194 ,  G06T3/40 ,  G06F18/24

    CPC classification number: G06T5/005 ,  G06F18/24 ,  G06T3/4084 ,  G06T5/002 ,  G06T7/194 ,  G06T2207/20084

    Abstract: Methods, systems, and articles of manufacture, including computer program products, are provided for image cleanup. In some embodiments, there is provide a method which may include subsampling a first image to a first level image of a multiscale transform; performing, based on a machine learning model, an identification of a foreground portion of the first level image and a background portion of the first level image; generating, based on the identification of the foreground portion and the background portion, a first mask; upscaling the first mask to a resolution corresponding to the first image depicting the foreground item; applying the upscaled first mask to the first image to form a second image depicting the foreground item; and providing the second image depicting the foreground item to a publication system. Related systems and articles of manufacture, including computer program products, are also provided.

    ADVERSARIAL LEARNING FOR FINEGRAINED IMAGE SEARCH
    13.
    发明申请
    ADVERSARIAL LEARNING FOR FINEGRAINED IMAGE SEARCH 有权

    公开(公告)号：US20220245406A1

    公开(公告)日：2022-08-04

    申请号：US17727100

    申请日：2022-04-22

    Applicant: eBay Inc.

    Inventor： Kevin Lin ,  Fan Yang ,  Qiaosong Wang ,  Robinson Piramuthu

    IPC: G06K9/62 ,  G06F16/583 ,  G06F16/51 ,  G06F16/532 ,  G06F16/56 ,  G06N3/08 ,  G06V10/32

    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for using adversarial learning for fine-grained image search. An image search system receives a search query that includes an input image depicting an object. The search system generates, using a generator, a vector representation of the object in a normalized view. The generator was trained based on a set of reference images of known objects in multiple views, and feedback data received from an evaluator that indicates performance of the generator at generating vector representations of the known objects in the normalized view. The evaluator including a discriminator sub-module, a normalizer sub-module, and a semantic embedding sub-module that generate the feedback data. The image search system identifies, based on the vector representation of the object, a set of other images depicting the object, and returns at least one of the other images in response to the search query.

    Systems and methods for automatically reconfiguring a building structure
    14.
    发明授权
    Systems and methods for automatically reconfiguring a building structure 有权

    公开(公告)号：US11167925B2

    公开(公告)日：2021-11-09

    申请号：US16568015

    申请日：2019-09-11

    Applicant: eBay Inc.

    Inventor： Dileep Kumar Basam ,  Andrew Chalkley ,  Ethan Benjamin Rubinson ,  Jean-David Ruvini ,  Bindia Saraf ,  Qiaosong Wang

    IPC: B65G1/137 ,  G05B15/02

    Abstract: Techniques for automatically modulating a physical configuration of a reconfigurable building structure. A reconfigurable building structure may be constructed of physical elements that are movable with respect to one another to facilitate actuating the reconfigurable building structure between a plurality of different physical configurations. The physical configuration of a reconfigurable building structure may be adjusted to accommodate for physical dimensions of an item that is going to be moved into the reconfigurable building structure. For example, a spacing between two shelves may be expanded in response to an order being placed for a large item. In this way, when the item is delivered to a physical address associated with the reconfigurable building structure, various physical characteristics of the reconfigurable building structure may have already been modulated to accept the item.

    Integration of 3D models
    18.
    发明授权
    Integration of 3D models 有权

    公开(公告)号：US10586379B2

    公开(公告)日：2020-03-10

    申请号：US15709997

    申请日：2017-09-20

    Applicant: eBay Inc.

    Inventor： Qiaosong Wang ,  James Thomas Dowdell ,  Jinrong Xie ,  Robinson Piramuthu

    IPC: G06K9/00 ,  G06T15/20 ,  G06T7/90 ,  G06T17/20

    Abstract: In various example embodiments, a system and method for integration of a three-dimensional model is disclosed. In one example embodiment, a method includes receiving a plurality of images, selecting points on the images and triangulating the points to generate a plurality of depth maps, generate a three-dimensional mesh by combining the plurality of depth maps, generating a three-dimensional model of the item by projecting the plurality of images onto the mesh using the points, calibrating colors used in the model using colors diffuse properties of the colors in the images, and providing a user interface allowing a user to select one or more user points on the three-dimensional model and provide additional information associated with the selected user points.

    Adversarial learning for finegrained image search
    20.
    发明授权
    Adversarial learning for finegrained image search 有权

    公开(公告)号：US12198420B2

    公开(公告)日：2025-01-14

    申请号：US17727100

    申请日：2022-04-22

    Applicant: eBay Inc.

    Inventor： Kevin Lin ,  Fan Yang ,  Qiaosong Wang ,  Robinson Piramuthu

    IPC: G06N3/088 ,  G06F16/51 ,  G06F16/532 ,  G06F16/56 ,  G06F16/583 ,  G06F18/21 ,  G06F18/214 ,  G06F18/22 ,  G06F18/2411 ,  G06V10/44 ,  G06V10/82 ,  G06V20/00

    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for using adversarial learning for fine-grained image search. An image search system receives a search query that includes an input image depicting an object. The search system generates, using a generator, a vector representation of the object in a normalized view. The generator was trained based on a set of reference images of known objects in multiple views, and feedback data received from an evaluator that indicates performance of the generator at generating vector representations of the known objects in the normalized view. The evaluator including a discriminator sub-module, a normalizer sub-module, and a semantic embedding sub-module that generate the feedback data. The image search system identifies, based on the vector representation of the object, a set of other images depicting the object, and returns at least one of the other images in response to the search query.

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