Patents by Inventor Venkata Subbarao Veeravasarapu

Venkata Subbarao Veeravasarapu 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).

  • Computer Vision Systems and Methods for Unsupervised Learning for Progressively Aligning Noisy Contours
    Publication number: 20240005533
    Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.
    Type: Application
    Filed: March 21, 2023
    Publication date: January 4, 2024
    Applicant: Insurance Services Office, Inc.
    Inventors: Venkata Subbarao Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh
  • Computer vision systems and methods for unsupervised learning for progressively aligning noisy contours
    Patent number: 11610322
    Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: March 21, 2023
    Assignee: Insurance Services Office, Inc.
    Inventors: Venkata Subbarao Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh
  • Computer Vision Systems and Methods for Unsupervised Learning for Progressively Aligning Noisy Contours
    Publication number: 20210158549
    Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.
    Type: Application
    Filed: November 25, 2020
    Publication date: May 27, 2021
    Applicant: Insurance Services Office, Inc.
    Inventors: Venkata Subbarao Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh
  • System and Method for Generating Simulated Scenes from Open Map Data for Machine Learning
    Publication number: 20190377981
    Abstract: Systems and methods for generating simulated scenes from open map data for machine learning are presented. The system includes an automatic scene generative pipeline that uses freely-available map information and random texture maps to create large-scale 3D urban scene layouts for supervised learning methods. The system generates synthetic datasets that have improved generalization capabilities with respect to a given target domain of interest using data from open maps and texture map from the same geographic locations. Data from the generation pipeline of the system improves a model's generalization to real image sets beyond arbitrarily-simulated sets or labeled real data from other geographical regions.
    Type: Application
    Filed: June 11, 2019
    Publication date: December 12, 2019
    Inventors: Venkata Subbarao Veeravasarapu, Maneesh Kumar Singh, Visvanathan Ramesh