Patents by Inventor Rakshith S

Rakshith S 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 electronic device for predicting plurality of multi-modal drawings
    Patent number: 11776289
    Abstract: Embodiments herein disclose a method and electronic device for predicting multi-modal drawings. The method includes: receiving, by the electronic device, at least one of a text input and strokes of a drawing and determining, by the electronic device, features associated with the text input and features associated with the strokes of the drawing. The method includes classifying, by the electronic device, the features associated with the text input and the features associated with the strokes of the drawing into one of a dominant feature and a non-dominant feature and performing, by the electronic device, early concatenation or late concatenation of the features based on the classification; classifying, by the electronic device, the strokes of the drawing based on the concatenation into a category using a deep neural network (DNN) model; and predicting, by the electronic device, primary drawings corresponding to the category.
    Type: Grant
    Filed: May 10, 2022
    Date of Patent: October 3, 2023
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Sourabh Vasant Gothe, Rakshith S, Jayesh Rajkumar Vachhani, Yashwant Singh Saini, Barath Raj Kandur Raja, Himanshu Arora, Rishabh Khurana
  • METHOD AND ELECTRONIC DEVICE FOR PREDICTING PLURALITY OF MULTI-MODAL DRAWINGS
    Publication number: 20220301331
    Abstract: Embodiments herein disclose a method and electronic device for predicting multi-modal drawings. The method includes: receiving, by the electronic device, at least one of a text input and strokes of a drawing and determining, by the electronic device, features associated with the text input and features associated with the strokes of the drawing. The method includes classifying, by the electronic device, the features associated with the text input and the features associated with the strokes of the drawing into one of a dominant feature and a non-dominant feature and performing, by the electronic device, early concatenation or late concatenation of the features based on the classification; classifying, by the electronic device, the strokes of the drawing based on the concatenation into a category using a deep neural network (DNN) model; and predicting, by the electronic device, primary drawings corresponding to the category.
    Type: Application
    Filed: May 10, 2022
    Publication date: September 22, 2022
    Inventors: Sourabh Vasant GOTHE, Rakshith S, Jayesh Rajkumar Vachhani, Yashwant Singh Saini, Barath Raj Kandur Raja, Himanshu Arora, Rishabh Khurana