Patents by Inventor Thomas Calvert

Thomas Calvert 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).

  • Publication number: 20250147799
    Abstract: A computer-implemented method for task management can include managing performance of a task on a message by a plurality of circuits. In some aspects, the task can comprise a sequence of processings to be performed on the message and each circuit of the plurality of circuits performing a processing of the sequence of processings. In some aspects, the method can include routing, based on the sequence, a first information regarding the task to a first circuit of the plurality of circuits to perform a first processing of the sequence of processings on the message; receiving, from the first circuit, an output of the first processing; and routing, based on the sequence of processings identified for the task, a second information regarding the task to a second circuit of the plurality of circuits to perform a second processing that follows the first processing in the sequence of processings.
    Type: Application
    Filed: November 3, 2023
    Publication date: May 8, 2025
    Applicant: Xilinx, Inc.
    Inventors: Thomas Calvert, Ripduman Sohan, Dmitri Kitariev, Kimon Karras, Stephan Diestelhorst, Neil Turton, David Riddoch, Derek Roberts, Kieran Mansley, Steven Pope
  • Publication number: 20240386708
    Abstract: Example implementations include a method, apparatus and computer-readable medium for object classification, including executing a multi-class object classification model (OCM) on an input image depicting an object, wherein the multi-class OCM is configured to output, for each respective class of a plurality of classes, a respective confidence score indicative of a likelihood of the object being of a member the respective class. The implementations further include detecting a plurality of confidence scores outputted by the multi-class OCM that are within a threshold range, wherein classes associated with the plurality of confidence scores are candidate classes of the object. Additionally, the implementations further include executing, on the input image, a single-class OCM for each of the candidate classes and outputting a final class for the object in the input image based on a result of each single-class OCM.
    Type: Application
    Filed: May 18, 2023
    Publication date: November 21, 2024
    Inventors: Terence NEILL, William Thomas Calvert, Peter Lawrence