Patents by Inventor Shiyi Lan

Shiyi Lan 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: 20240169545
    Abstract: Class agnostic object mask generation uses a vision transformer-based auto-labeling framework requiring only images and object bounding boxes to generate object (segmentation) masks. The generated object masks, images, and object labels may then be used to train instance segmentation models or other neural networks to localize and segment objects with pixel-level accuracy. The generated object masks may supplement or replace conventional human generated annotations. The human generated annotations may be misaligned compared with the object boundaries, resulting in poor quality labeled segmentation masks. In contrast with conventional techniques, the generated object masks are class agnostic and are automatically generated based only on a bounding box image region without relying on either labels or semantic information.
    Type: Application
    Filed: July 20, 2023
    Publication date: May 23, 2024
    Inventors: Shiyi Lan, Zhiding Yu, Subhashree Radhakrishnan, Jose Manuel Alvarez Lopez, Animashree Anandkumar
  • Publication number: 20220261593
    Abstract: Apparatuses, systems, and techniques to train one or more neural networks. In at least one embodiment, one or more neural networks are trained to perform segmentation tasks based at least in part on training data comprising bounding box annotations.
    Type: Application
    Filed: February 16, 2021
    Publication date: August 18, 2022
    Inventors: Zhiding Yu, Shiyi Lan, Chris Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Anima Anandkumar