Patents by Inventor Lucas PAGÉ-CACCIA

Lucas PAGÉ-CACCIA 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).

  • Method and system for generating synthetic point cloud data using a generative model
    Patent number: 11151734
    Abstract: Methods and systems for generating synthetic point cloud data are described. Projected 2D data grid is generated by projecting a 3D point cloud into a 2D grid, with rotation equivariance. A generative model is learned using the projected 2D data grid, wherein the generative model is implemented using flex-convolution and transpose flex convolution operations, for example in a generative adversarial network. The learned generative model is used to generate synthetic point clouds.
    Type: Grant
    Filed: September 12, 2019
    Date of Patent: October 19, 2021
    Assignees: HUAWEI TECHNOLOGIES CO., LTD., THE ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING/MCGILL UNIVERSITY
    Inventors: Lucas Pagé-Caccia, Joelle Pineau, Elmira Amirloo Abolfathi
  • METHOD AND SYSTEM FOR GENERATING SYNTHETIC POINT CLOUD DATA USING A GENERATIVE MODEL
    Publication number: 20200090357
    Abstract: Methods and systems for generating synthetic point cloud data are described. Projected 2D data grid is generated by projecting a 3D point cloud into a 2D grid, with rotation equivariance. A generative model is learned using the projected 2D data grid, wherein the generative model is implemented using flex-convolution and transpose flex convolution operations, for example in a generative adversarial network. The learned generative model is used to generate synthetic point clouds.
    Type: Application
    Filed: September 12, 2019
    Publication date: March 19, 2020
    Inventors: Lucas PAGÉ-CACCIA, Joelle PINEAU, Elmira AMIRLOO ABOLFATHI