Patents by Inventor Yingmao Li

Yingmao Li 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: 20210174479
    Abstract: A method includes obtaining, using first and second image sensors of an electronic device, first and second images, respectively, of a scene. The method also includes obtaining, using an image depth sensor of the electronic device, a third image and a first depth map of the scene, the first depth map having a resolution lower than a resolution of the first and second images. The method further includes undistorting the first and second images using the third image and the first depth map. The method also includes rectifying the first and second images using the third image and the first depth map. The method further includes generating a disparity map using the first and second images that have been undistorted and rectified. In addition, the method includes generating a second depth map using the disparity map and the first depth map, where the second depth map has a resolution that is higher than the resolution of the first depth map.
    Type: Application
    Filed: December 4, 2019
    Publication date: June 10, 2021
    Inventors: Yingmao Li, Chenchi Luo, George Q. Chen, Youngjun Yoo
  • Publication number: 20210158142
    Abstract: A method includes identifying, by at least one processor, multiple features of input data using a common feature extractor. The method also includes processing, by the at least one processor, at least some identified features using each of multiple pre-processing branches. Each pre-processing branch includes a first set of neural network layers and generates initial outputs associated with a different one of multiple data processing tasks. The method further includes combining, by the at least one processor, at least two initial outputs from at least two pre-processing branches to produce combined initial outputs. In addition, the method includes processing, by the at least one processor, at least some initial outputs or at least some combined initial outputs using each of multiple post-processing branches. Each post-processing branch includes a second set of neural network layers and generates final outputs associated with a different one of the multiple data processing tasks.
    Type: Application
    Filed: November 22, 2019
    Publication date: May 27, 2021
    Inventors: Chenchi Luo, Yingmao Li, Youngjun Yoo
  • Publication number: 20200394759
    Abstract: A method includes obtaining a first image of a scene using a first image sensor of an electronic device and a second image of the scene using a second image sensor of the electronic device. The method also includes generating a first feature map from the first image and a second feature map from the second image. The method further includes generating a third feature map based on the first feature map, the second feature map, and an asymmetric search window. The method additionally includes generating a depth map by restoring spatial resolution to the third feature map.
    Type: Application
    Filed: December 12, 2019
    Publication date: December 17, 2020
    Inventors: Chenchi Luo, Yingmao Li, Youngjun Yoo, George Q. Chen, Kaimo Lin, David D. Liu, Gyeongmin Choe
  • Patent number: 10452960
    Abstract: An image classification system includes a convolutional neural network, a confidence predictor, and a fusion classifier. The convolutional neural network is configured to assign a plurality of probability values to each pixel of a first image of a scene and a second image of the scene. Each of the probability values corresponds to a different feature that the convolutional neural network is trained to identify. The confidence predictor is configured to assign a confidence value to each pixel of the first image and to each pixel of the second image. The confidence values correspond to a greatest of the probability values generated by the convolutional neural network for each pixel. The fusion classifier is configured to assign, to each pixel of the first image, a feature that corresponds to a higher of the confidence values assigned to the pixel of the first image and the second image.
    Type: Grant
    Filed: October 1, 2018
    Date of Patent: October 22, 2019
    Assignee: TEXAS INSTRUMENTS INCORPORATED
    Inventors: Yingmao Li, Vikram VijayanBabu Appia, Ziguo Zhong, Tarek Aziz Lahlou