Patents by Inventor Tom Ellis

Tom Ellis 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: 20240037913
    Abstract: An image processing system is described which has a memory holding at least one image depicting at least one person previously unseen by the image processing system. The system has a trained probabilistic model which describes a relationship between image features, context, identities and a plurality of names of people, wherein at least one of the identities identifies a person depicted in the image without an associated name in the plurality of names. The system has a feature extractor which extracts features from the image, and a processor which predicts an identity of the person depicted in the image using the extracted features and the probabilistic model.
    Type: Application
    Filed: October 10, 2023
    Publication date: February 1, 2024
    Inventors: Sebastian NOWOZIN, Tom ELLIS, Cecily Peregrine Borgatti MORRISON, Daniel COELHO DE CASTRO
  • Patent number: 11823435
    Abstract: An image processing system is described which has a memory holding at least one image depicting at least one person previously unseen by the image processing system. The system has a trained probabilistic model which describes a relationship between image features, context, identities and a plurality of names of people, wherein at least one of the identities identifies a person depicted in the image without an associated name in the plurality of names. The system has a feature extractor which extracts features from the image, and a processor which predicts an identity of the person depicted in the image using the extracted features and the probabilistic model.
    Type: Grant
    Filed: March 10, 2020
    Date of Patent: November 21, 2023
    Assignee: Microsoft Technology Licensing, LLC.
    Inventors: Sebastian Nowozin, Tom Ellis, Cecily Peregrine Borgatti Morrison, Daniel Coelho De Castro
  • Publication number: 20220396762
    Abstract: The disclosure provides compositions and methods for growing programmable enzyme-functionalized and sense-and-response bacterial cellulose living materials with engineered microbial co-cultures.
    Type: Application
    Filed: August 21, 2020
    Publication date: December 15, 2022
    Applicants: Massachusetts Institute of Technology, Imperial College Innovations Limited
    Inventors: Timothy Kuan-Ta Lu, Tzu-Chieh Tang, Wolfgang Ott, Tom Ellis, Charles Gilbert
  • Publication number: 20200380245
    Abstract: An image processing system is described which has a memory holding at least one image depicting at least one person previously unseen by the image processing system. The system has a trained probabilistic model which describes a relationship between image features, context, identities and a plurality of names of people, wherein at least one of the identities identifies a person depicted in the image without an associated name in the plurality of names. The system has a feature extractor which extracts features from the image, and a processor which predicts an identity of the person depicted in the image using the extracted features and the probabilistic model.
    Type: Application
    Filed: March 10, 2020
    Publication date: December 3, 2020
    Inventors: Sebastian NOWOZIN, Tom ELLIS, Cecily Peregrine Borgatti MORRISON, Daniel COELHO DE CASTRO
  • Patent number: 10621416
    Abstract: An image processing system is described which has a memory holding at least one image depicting at least one person previously unseen by the image processing system. The system has a trained probabilistic model which describes a relationship between image features, context, identities and a plurality of names of people, wherein at least one of the identities identifies a person depicted in the image without an associated name in the plurality of names. The system has a feature extractor which extracts features from the image, and a processor which predicts an identity of the person depicted in the image using the extracted features and the probabilistic model.
    Type: Grant
    Filed: October 2, 2017
    Date of Patent: April 14, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Sebastian Nowozin, Tom Ellis, Cecily Peregrine Borgatti Morrison, Daniel Coelho De Castro
  • Publication number: 20190102606
    Abstract: An image processing system is described which has a memory holding at least one image depicting at least one person previously unseen by the image processing system. The system has a trained probabilistic model which describes a relationship between image features, context, identities and a plurality of names of people, wherein at least one of the identities identifies a person depicted in the image without an associated name in the plurality of names. The system has a feature extractor which extracts features from the image, and a processor which predicts an identity of the person depicted in the image using the extracted features and the probabilistic model.
    Type: Application
    Filed: October 2, 2017
    Publication date: April 4, 2019
    Inventors: Sebastian NOWOZIN, Tom ELLIS, Cecily Peregrine Borgatti MORRISON, Daniel COELHO DE CASTRO
  • Publication number: 20140265412
    Abstract: The present invention is drawn to a bedliner ballast system for pick-up trucks, vans and other vehicles to allow the operators of vehicles to increase traction on the driving wheels by adding and removing weight to the bed of their vehicle and therefore adjusting the traction of the driving wheels without sacrificing load carrying space. The design permits the owner to easily and quickly add or remove weight as needed by using a liquid contained within the bed liner. Liquid may be added to directly weight, for example, the rear wheels with a garden hose or water faucet at a filling station while preserving the entire rear bed for passengers or freight and the additional load may be easily and quickly removed. The design permits custom modification for a variety of vehicles and vehicle configurations.
    Type: Application
    Filed: March 14, 2013
    Publication date: September 18, 2014
    Inventors: Jennifer Ellis, Tom Ellis