Patents by Inventor Nicolas WINCKLER

Nicolas WINCKLER 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: 20240290077
    Abstract: The invention relates to a method for adapting an artificial neural network (ANN) model, previously trained for person re-identification on a source domain, on a target domain. The method includes several iterations of an adaptation phase including constructing a support set, by selecting from images of the source domain similar to images in a new set of images received from the target domain. The method also includes several iterations of a training step including determining a re-id cost on the new set of images; determining a Knowledge Distillation cost, with respect to a teacher model, on a support set constructed during a previous iteration of the adaptation phase, updating the ANN model; and updating the teacher model. The invention further relates to a computer program and a device configured to carry out such a method, and to an artificial neural network trained with such a method.
    Type: Application
    Filed: February 26, 2024
    Publication date: August 29, 2024
    Applicant: BULL SAS
    Inventors: Hamza RAMI, Nicolas WINCKLER, Jhony Heriberto GIRALDO ZULUAGA, Stéphane LATHUILIÈRE