Patents by Inventor Rudra Prasad POUDEL KARMATHA

Rudra Prasad POUDEL KARMATHA 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).

  • Computer vision system and method
    Patent number: 11315253
    Abstract: An image processing method for segmenting an image, the method comprising: receiving an image; processing said image with a common processing stage to produce a first feature map; inputting said first feature map to a parallel processing stage, said second processing stage comprising first and second parallel branches that receive the first feature map; and combining the output of the first and second branches to produce a semantic segmented image, wherein the common processing stage comprises a neural network, the neural network having at least one separable convolution module configured to perform separable convolution and downsample the image to produce first feature map and said first branch comprises a neural network comprising at least one separable convolution module configured to perform separable convolution.
    Type: Grant
    Filed: January 14, 2020
    Date of Patent: April 26, 2022
    Assignee: Kabushiki Kaisha Toshiba
    Inventors: Rudra Prasad Poudel Karmatha, Stephan Liwicki, Roberto Cipolla
  • Computer vision system and method
    Patent number: 10769744
    Abstract: An image processing method for segmenting an image, the method comprising: receiving first image; producing a second image from said first image, wherein said second image is a lower resolution representation of said first image; processing said first image with a first processing stage to produce a first feature map; processing said second image with a second processing stage to produce a second feature map; and combining the first feature map with the second feature map to produce a semantic segmented image; wherein the first processing stage comprises a first neural network comprising at least one separable convolution module configured to perform separable convolution and said second processing stage comprises a second neural network comprising at least one separable convolution module configured to perform separable convolution; the number of layers in the first neural network being smaller than the number of layers in the second neural network.
    Type: Grant
    Filed: October 31, 2018
    Date of Patent: September 8, 2020
    Assignee: Kabushiki Kaisha Toshiba
    Inventors: Rudra Prasad Poudel Karmatha, Ujwal Bonde, Stephan Liwicki, Christopher Zach
  • COMPUTER VISION SYSTEM AND METHOD
    Publication number: 20200234447
    Abstract: An image processing method for segmenting an image, the method comprising: receiving an image; processing said image with a common processing stage to produce a first feature map; inputting said first feature map to a parallel processing stage, said second processing stage comprising first and second parallel branches that receive the first feature map; and combining the output of the first and second branches to produce a semantic segmented image, wherein the common processing stage comprises a neural network, the neural network having at least one separable convolution module configured to perform separable convolution and downsample the image to produce first feature map and said first branch comprises a neural network comprising at least one separable convolution module configured to perform separable convolution.
    Type: Application
    Filed: January 14, 2020
    Publication date: July 23, 2020
    Applicant: Kabushiki Kaisha Toshiba
    Inventors: Rudra Prasad Poudel KARMATHA, Stephan LIWICKI, Roberto CIPOLLA
  • COMPUTER VISION SYSTEM AND METHOD
    Publication number: 20200134772
    Abstract: An image processing method for segmenting an image, the method comprising: receiving first image; producing a second image from said first image, wherein said second image is a lower resolution representation of said first image; processing said first image with a first processing stage to produce a first feature map; processing said second image with a second processing stage to produce a second feature map; and combining the first feature map with the second feature map to produce a semantic segmented image; wherein the first processing stage comprises a first neural network comprising at least one separable convolution module configured to perform separable convolution and said second processing stage comprises a second neural network comprising at least one separable convolution module configured to perform separable convolution; the number of layers in the first neural network being smaller than the number of layers in the second neural network.
    Type: Application
    Filed: October 31, 2018
    Publication date: April 30, 2020
    Applicant: Kabushiki Kaisha Toshiba
    Inventors: Rudra Prasad POUDEL KARMATHA, Ujwal BONDE, Stephan LIWICKI, Christopher ZACH