Patents by Inventor Hailing Zhou

Hailing Zhou 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: 12073027
    Abstract: Implementations are directed to receiving a first set of images included in a first video captured by a camera that monitors a human performing a task; processing the first set of images using a first machine learning (ML) model to determine whether the first set of images depicts a gesture that is included in a predefined set of gestures; in response to determining that the first set of images depicts a gesture included in a predefined set of gestures, processing a second set of images included in the first video using a second ML model to determine a first gesture type of the gesture; comparing the first gesture type with a first expected gesture type to determine whether performance of the task conforms to a standard operating procedure (SOP) for the task; and providing feedback representative of a comparison result in a user interface.
    Type: Grant
    Filed: December 20, 2022
    Date of Patent: August 27, 2024
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Keyu Qi, Hailing Zhou, Nan Ke, David Nguyen, Binghao Tang
  • Publication number: 20240233440
    Abstract: Implementations include actions of receiving an image, providing a set of features for the image, determining a set of HOIs including one or more HOIs that are potentially represented in the image, providing sets of feature scores by, for each HOI in the set of HOIs, determining, by a first ML model, a set of feature scores for respective features in the set of features, generating, by a second ML model, sets of weights based on the set of HOIs, providing a set of final scores by, for each HOI in the set of HOIs, determining a final score based on a respective set of weights and the set of feature scores, each final score corresponding to a respective HOI in the set of HOIs, and selecting an output HOI for the image from the set of HOIs based on the set of final scores.
    Type: Application
    Filed: January 11, 2023
    Publication date: July 11, 2024
    Inventors: David Nguyen, Hailing Zhou, Nan Ke
  • Publication number: 20240233439
    Abstract: Implementations include actions of receiving an image; extracting a visual HOI and a set of visual embeddings, the visual HOI indicating a subject and an object; obtaining, using a vector library, a set of semantic HOIs and sets of semantic embeddings based on the subject, the object and a set of verbs included in the vector library, each set of semantic embeddings corresponding to a semantic HOI; processing, by a compositional model, the set of visual embeddings to provide a set of transition visual embeddings; processing the sets of semantic embeddings to provide respective sets of transition semantic embeddings; determining a set of scores based on the set of transition visual embeddings and the sets of transition semantic embeddings, each score representing a degree of similarity between the visual HOI and a semantic HOI; and determining at least one predicted HOI represented within the image based on the scores.
    Type: Application
    Filed: January 10, 2023
    Publication date: July 11, 2024
    Inventors: David Nguyen, Hailing Zhou, Nan Ke
  • Publication number: 20240201789
    Abstract: Implementations are directed to receiving a first set of images included in a first video captured by a camera that monitors a human performing a task; processing the first set of images using a first machine learning (ML) model to determine whether the first set of images depicts a gesture that is included in a predefined set of gestures; in response to determining that the first set of images depicts a gesture included in a predefined set of gestures, processing a second set of images included in the first video using a second ML model to determine a first gesture type of the gesture; comparing the first gesture type with a first expected gesture type to determine whether performance of the task conforms to a standard operating procedure (SOP) for the task; and providing feedback representative of a comparison result in a user interface.
    Type: Application
    Filed: December 20, 2022
    Publication date: June 20, 2024
    Inventors: Keyu Qi, Hailing Zhou, Nan Ke, David Nguyen, Binghao Tang
  • Patent number: 11989650
    Abstract: According to one implementation, a system includes a computing platform having a hardware processor and a system memory storing a software code including a trained neural network (NN). The hardware processor executes the software code to receive an input image including a pixel anomaly, identify, using the trained NN, one or more salient regions of the input image, and determine whether the pixel anomaly is located inside any of the one or more salient regions. The hardware processor further executes the software code to assign a first priority to the pixel anomaly when it is determined that the pixel anomaly is located inside any of the one or more salient regions, and to assign a second priority, lower than the first priority, to the pixel anomaly when it is determined that the pixel anomaly is not located inside any of the one or more salient regions.
    Type: Grant
    Filed: December 21, 2020
    Date of Patent: May 21, 2024
    Assignee: Disney Enterprises, Inc.
    Inventors: Erika Varis Doggett, David T. Nguyen, Binghao Tang, Hailing Zhou, Anna M. Wolak, Erick Keyu Qi
  • Publication number: 20240159015
    Abstract: A robot for pond desilting is provided, which includes a frame, a lead screw sliding table, and a suction pipe. An end of the frame is provided with a pressure-resistant cabin. A lead screw base is disposed on the lead screw sliding table. A rotary lead screw is disposed on the lead screw sliding table. The lead screw base is disposed on the rotary lead screw. Waterproof motors are disposed above the lead screw base, a pump body is disposed in the frame, and the suction pipe is disposed at an end of the pump body. When the robot is placed at the bottom of the pond, the motor inside the pressure-resistant cabin drives the power wheels to rotate, the power wheels drive the tracks to rotate around the power wheels, bearing wheels, and tension wheels, thereby driving the frame to move.
    Type: Application
    Filed: December 27, 2023
    Publication date: May 16, 2024
    Inventors: Guanglin WU, Mingxian WANG, Jinbo LIN, Hongfei MAO, Yifang SUN, Qinglong CHEN, Ruixin LIU, Haoyu TAN, Jiaxin LI, Hailing ZHOU
  • Publication number: 20220198258
    Abstract: According to one implementation, a system includes a computing platform having a hardware processor and a system memory storing a software code including a trained neural network (NN). The hardware processor executes the software code to receive an input image including a pixel anomaly, identify, using the trained NN, one or more salient regions of the input image, and determine whether the pixel anomaly is located inside any of the one or more salient regions. The hardware processor further executes the software code to assign a first priority to the pixel anomaly when it is determined that the pixel anomaly is located inside any of the one or more salient regions, and to assign a second priority, lower than the first priority, to the pixel anomaly when it is determined that the pixel anomaly is not located inside any of the one or more salient regions.
    Type: Application
    Filed: December 21, 2020
    Publication date: June 23, 2022
    Inventors: Erika Varis Doggett, David T. Nguyen, Binghao Tang, Hailing Zhou, Anna M. Wolak, Erick Keyu Qi