Patents by Inventor Manmohan Chandrakar

Manmohan Chandrakar 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).

  • Deep deformation network for object landmark localization
    Patent number: 10572777
    Abstract: A system and method are provided. The system includes a processor. The processor is configured to generate a response map for an image, using a four stage convolutional structure. The processor is further configured to generate a plurality of landmark points for the image based on the response map, using a shape basis neural network. The processor is additionally configured to generate an optimal shape for the image based on the plurality of landmark points for the image and the response map, using a point deformation neural network. A recognition system configured to identify the image based on the generated optimal shape to generate a recognition result of the image. The processor is also configured to operate a hardware-based machine based on the recognition result.
    Type: Grant
    Filed: February 17, 2017
    Date of Patent: February 25, 2020
    Assignee: NEC Corporation
    Inventors: Xiang Yu, Feng Zhou, Manmohan Chandrakar
  • Deep Deformation Network for Object Landmark Localization
    Publication number: 20170262736
    Abstract: A system and method are provided. The system includes a processor. The processor is configured to generate a response map for an image, using a four stage convolutional structure. The processor is further configured to generate a plurality of landmark points for the image based on the response map, using a shape basis neural network. The processor is additionally configured to generate an optimal shape for the image based on the plurality of landmark points for the image and the response map, using a point deformation neural network. A recognition system configured to identify the image based on the generated optimal shape to generate a recognition result of the image. The processor is also configured to operate a hardware-based machine based on the recognition result.
    Type: Application
    Filed: February 17, 2017
    Publication date: September 14, 2017
    Inventors: Xiang Yu, Feng Zhou, Manmohan Chandrakar