Patents by Inventor Hossam Isack

Hossam Isack 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).

  • HIGH-RESOLUTION MULTIVIEW-CONSISTENT RENDERING AND ALPHA MATTING FROM SPARSE VIEWS
    Publication number: 20250111477
    Abstract: A method including capturing a first plurality of images that include a foreground object and a background, capturing a second plurality of images that include the background, generating an alpha matte based on the first plurality of images and the second plurality of images using a trained machine learned model trained using a loss function configured to cause the trained machine learned model to learn high-frequency details of the foreground object, generating a foreground object image based on the first plurality of images and the second plurality of images using the trained machine learned model, and synthesizing an image including the foreground object image and a second background scene using the alpha matte.
    Type: Application
    Filed: September 28, 2023
    Publication date: April 3, 2025
    Inventors: Sergio Orts Escolano, Zhiwen Fan, Di Qiu, Yinda Zhang, Daoye Wang, Erroll Wood, Abhimitra Meka, Hossam Isack, Paulo Fabiano Urnau Gotardo, Kripasindhu Sarkar, Thabo Beeler, Zhengyang Shen, Alexander Sahba Koumis
  • DEPTH ESTIMATION USING A NEURAL NETWORK
    Publication number: 20220335638
    Abstract: According to an aspect, a method for depth estimation includes receiving image data from a sensor system, generating, by a neural network, a first depth map based on the image data, where the first depth map has a first scale, obtaining depth estimates associated with the image data, and transforming the first depth map to a second depth map using the depth estimates, where the second depth map has a second scale.
    Type: Application
    Filed: April 19, 2021
    Publication date: October 20, 2022
    Inventors: Abhishek Kar, Hossam Isack, Adarsh Prakash Murthy Kowdle, Aveek Purohit, Dmitry Medvedev
  • Human pose estimation using neural networks and kinematic structure
    Patent number: 11335023
    Abstract: According to an aspect, a method for pose estimation using a convolutional neural network includes extracting features from an image, downsampling the features to a lower resolution, arranging the features into sets of features, where each set of features corresponds to a separate keypoint of a pose of a subject, updating, by at least one convolutional block, each set of features based on features of one or more neighboring keypoints using a kinematic structure, and predicting the pose of the subject using the updated sets of features.
    Type: Grant
    Filed: May 22, 2020
    Date of Patent: May 17, 2022
    Assignee: Google LLC
    Inventors: Sameh Khamis, Christian Haene, Hossam Isack, Cem Keskin, Sofien Bouaziz, Shahram Izadi
  • HUMAN POSE ESTIMATION USING NEURAL NETWORKS AND KINEMATIC STRUCTURE
    Publication number: 20210366146
    Abstract: According to an aspect, a method for pose estimation using a convolutional neural network includes extracting features from an image, downsampling the features to a lower resolution, arranging the features into sets of features, where each set of features corresponds to a separate keypoint of a pose of a subject, updating, by at least one convolutional block, each set of features based on features of one or more neighboring keypoints using a kinematic structure, and predicting the pose of the subject using the updated sets of features.
    Type: Application
    Filed: May 22, 2020
    Publication date: November 25, 2021
    Inventors: Sameh Khamis, Christian Haene, Hossam Isack, Cem Keskin, Sofien Bouaziz, Shahram Izadi