Patents by Inventor Shichong PENG

Shichong PENG 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).

  • Depth map completion in visual content using semantic and three-dimensional information
    Patent number: 12260571
    Abstract: Certain aspects of the present disclosure provide techniques for generating fine depth maps for images of a scene based on semantic segmentation and segment-based refinement neural networks. An example method generally includes generating, through a segmentation neural network, a segmentation map based on an image of a scene. The segmentation map generally comprises a map segmenting the scene into a plurality of regions, and each region of the plurality of regions is generally associated with one of a plurality of categories. A first depth map of the scene is generated through a first depth neural network based on a depth measurement of the scene. A second depth map of the scene is generated through a depth refinement neural network based on the segmentation map and the first depth map. One or more actions are taken based on the second depth map of the scene.
    Type: Grant
    Filed: February 4, 2022
    Date of Patent: March 25, 2025
    Assignee: QUALCOMM Incorporated
    Inventors: Hong Cai, Shichong Peng, Janarbek Matai, Jamie Menjay Lin, Debasmit Das, Fatih Murat Porikli
  • DEPTH MAP COMPLETION IN VISUAL CONTENT USING SEMANTIC AND THREE-DIMENSIONAL INFORMATION
    Publication number: 20230252658
    Abstract: Certain aspects of the present disclosure provide techniques for generating fine depth maps for images of a scene based on semantic segmentation and segment-based refinement neural networks. An example method generally includes generating, through a segmentation neural network, a segmentation map based on an image of a scene. The segmentation map generally comprises a map segmenting the scene into a plurality of regions, and each region of the plurality of regions is generally associated with one of a plurality of categories. A first depth map of the scene is generated through a first depth neural network based on a depth measurement of the scene. A second depth map of the scene is generated through a depth refinement neural network based on the segmentation map and the first depth map. One or more actions are taken based on the second depth map of the scene.
    Type: Application
    Filed: February 4, 2022
    Publication date: August 10, 2023
    Inventors: Hong CAI, Shichong PENG, Janarbek MATAI, Jamie Menjay LIN, Debasmit DAS, Fatih Murat PORIKLI