利索-全球专利检索

  1. Login
  2. Sign Up

Search Results

20 records (took 0.016 seconds)

    Two-sided machine learning framework for pointer movement-based bot detection
    2.
    发明授权
    Two-sided machine learning framework for pointer movement-based bot detection 有权

    公开(公告)号：US12216745B2

    公开(公告)日：2025-02-04

    申请号：US18146738

    申请日：2022-12-27

    Applicant: PAYPAL, INC.

    Inventor： Zhe Chen ,  Jiyi Zhang ,  Hewen Wang ,  Panpan Qi ,  Quan Jin Ferdinand Tang ,  Solomon kok how Teo ,  Yuzhen Zhuo ,  Mandar Ganaba Gaonkar ,  Fei Pei ,  Omkumar Mahalingam

    IPC: G06F21/31 ,  G06F21/32

    Abstract: Methods and systems are presented for bot detection. A movement of a pointing device is tracked via a graphical user interface (GUI) of an application executable at a user device. Movement data associated with different locations of the pointing device within the GUI is obtained. The movement data is mapped to functional areas corresponding to a range of the different locations of the pointing device within the GUI over consecutive time intervals. At least one vector representing a sequence of movements for at least one trajectory of the pointing device through one or more of the functional areas and a duration the pointing device stays within each functional area is generated. At least one trained machine learning model is used to determine whether the sequence of movements of the pointing device was produced through human interaction with the pointing device by an actual user of the user device.

    CONTENT EXTRACTION BASED ON GRAPH MODELING
    5.
    发明申请
    CONTENT EXTRACTION BASED ON GRAPH MODELING 有权

    公开(公告)号：US20220129688A1

    公开(公告)日：2022-04-28

    申请号：US17077211

    申请日：2020-10-22

    Applicant: PAYPAL, INC.

    Inventor： Xiaodong Yu ,  Hewen Wang

    IPC: G06K9/20 ,  G06K9/46 ,  G06K9/62 ,  G06Q10/08 ,  G06Q20/40 ,  G06F16/901 ,  G06N3/04

    Abstract: Methods and systems are presented for extracting categorizable information from an image using a graph that models data within the image. Upon receiving an image, a data extraction system identifies characters in the image. The data extraction system then generates bounding boxes that enclose adjacent characters that are related to each other in the image. The data extraction system also creates connections between the bounding boxes based on locations of the bounding boxes. A graph is generated based on the bounding boxes and the connections such that the graph can accurately represent the data in the image. The graph is provided to a graph neural network that is configured to analyze the graph and produce an output. The data extraction system may categorize the data in the image based on the output.

    Polar relative distance transformer
    6.
    发明授权
    Polar relative distance transformer 有权

    公开(公告)号：US12159478B2

    公开(公告)日：2024-12-03

    申请号：US17547680

    申请日：2021-12-10

    Applicant: PayPal, Inc.

    Inventor： Yanfei Dong ,  Yuan Deng ,  Hewen Wang ,  Xiaodong Yu

    IPC: G06V30/414 ,  G06F40/106 ,  G06F40/114 ,  G06V30/148

    Abstract: A system can comprise a processor that can facilitate performance of operations, comprising accessing a document comprising a plurality of text bounding boxes, wherein each respective text bounding box of the plurality of text bounding boxes comprises respective text, for each respective text bounding box, determining respective text bounding box coordinates and respective text bounding box input embeddings, based on the respective text bounding box coordinates, determining respective text bounding box positional encodings for each respective text bounding box, based on a transformer-based deep learning model applied to the respective text bounding box input embeddings, respective text bounding box coordinates, respective text bounding box positional encodings, and bias information representative of a modification to an attention weight of the transformer-based deep learning model, determining respective output embeddings for each respective text bounding box, and based on the respective output embeddings, generating respective bounding box labels for each respective bounding box.

    POLAR RELATIVE DISTANCE TRANSFORMER
    9.
    发明公开
    POLAR RELATIVE DISTANCE TRANSFORMER 审中-公开

    公开(公告)号：US20230186668A1

    公开(公告)日：2023-06-15

    申请号：US17547680

    申请日：2021-12-10

    Applicant: PayPal, Inc.

    Inventor： Yanfei Dong ,  Yuan Deng ,  Hewen Wang ,  Xiaodong Yu

    IPC: G06V30/414 ,  G06V30/148 ,  G06F40/106 ,  G06F40/114

    CPC classification number: G06V30/414 ,  G06F40/106 ,  G06F40/114 ,  G06V30/153

    Abstract: A system can comprise a processor that can facilitate performance of operations, comprising accessing a document comprising a plurality of text bounding boxes, wherein each respective text bounding box of the plurality of text bounding boxes comprises respective text, for each respective text bounding box, determining respective text bounding box coordinates and respective text bounding box input embeddings, based on the respective text bounding box coordinates, determining respective text bounding box positional encodings for each respective text bounding box, based on a transformer-based deep learning model applied to the respective text bounding box input embeddings, respective text bounding box coordinates, respective text bounding box positional encodings, and bias information representative of a modification to an attention weight of the transformer-based deep learning model, determining respective output embeddings for each respective text bounding box, and based on the respective output embeddings, generating respective bounding box labels for each respective bounding box.

Patent Agency Ranking