Patents by Inventor Luchen Liu

Luchen Liu 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).

  • Decoupling category-wise independence and relevance with self-attention for multi-label image classification
    Patent number: 11494616
    Abstract: Methods and systems are provided for generating a multi-label classification system. The multi-label classification system can use a multi-label classification neural network system to identify one or more labels for an image. The multi-label classification system can explicitly take into account the relationship between classes in identifying labels. A relevance sub-network of the multi-label classification neural network system can capture relevance information between the classes. Such a relevance sub-network can decouple independence between classes to focus learning on relevance between the classes.
    Type: Grant
    Filed: July 11, 2019
    Date of Patent: November 8, 2022
    Assignee: Shenzhen Malong Technologies Co., Ltd.
    Inventors: Sheng Guo, Weilin Huang, Matthew Robert Scott, Luchen Liu
  • Decoupling Category-Wise Independence and Relevance with Self-Attention for Multi-Label Image Classification
    Publication number: 20200356842
    Abstract: Methods and systems are provided for generating a multi-label classification system. The multi-label classification system can use a multi-label classification neural network system to identify one or more labels for an image. The multi-label classification system can explicitly take into account the relationship between classes in identifying labels. A relevance sub-network of the multi-label classification neural network system can capture relevance information between the classes. Such a relevance sub-network can decouple independence between classes to focus learning on relevance between the classes.
    Type: Application
    Filed: July 11, 2019
    Publication date: November 12, 2020
    Inventors: Sheng Guo, Weilin Huang, Matthew Robert Scott, Luchen Liu