Patents by Inventor Zhuwen Li

Zhuwen 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: 20210027536
    Abstract: A network for generating 3D shape includes a perceptual network and a Graphic Convolutional Network (GCN). The GCN includes a coarse shape generation network for generating a coarse shape, and a Multi-View Deformation Network (MDN) for refining the coarse shape. The MDN further comprises at least one MDN unit, which in turn comprises a deformation hypothesis sampling module, a cross-view perceptual feature pooling module and a deformation reasoning module. Systems and methods are also provided.
    Type: Application
    Filed: May 23, 2020
    Publication date: January 28, 2021
    Inventors: Yanwei Fu, Chao Wen, Yinda Zhang, Zhuwen Li
  • Patent number: 10885707
    Abstract: A network for generating 3D shape includes a perceptual network and a Graphic Convolutional Network (GCN). The GCN includes a coarse shape generation network for generating a coarse shape, and a Multi-View Deformation Network (MDN) for refining the coarse shape. The MDN further comprises at least one MDN unit, which in turn comprises a deformation hypothesis sampling module, a cross-view perceptual feature pooling module and a deformation reasoning module. Systems and methods are also provided.
    Type: Grant
    Filed: May 23, 2020
    Date of Patent: January 5, 2021
    Assignee: FUDAN UNIVERSITY
    Inventors: Yanwei Fu, Chao Wen, Yinda Zhang, Zhuwen Li
  • Patent number: 10783709
    Abstract: This invention is related to a network for generating 3D shape, including an image feature network, an initial ellipsoid mesh, and a cascaded mesh deformation network. The image feature network is a Visual Geometry Group Net (VGGN) containing five successive convolutional layer groups, and four pooling layers sandwiched by the five convolutional layer groups; and the cascaded mesh deformation network is a graph-based convolution network (GCN) containing three successive deformation blocks, and two graph unpooling layers sandwiched by the three successive deformation blocks. This invention is also related to a system and a method thereof.
    Type: Grant
    Filed: November 12, 2019
    Date of Patent: September 22, 2020
    Assignee: FUDAN UNIVERSITY
    Inventors: Yugang Jiang, Yanwei Fu, Nanyang Wang, Yinda Zhang, Zhuwen Li
  • Patent number: 10777003
    Abstract: This invention is related to a network for generating 3D shape, including an image feature network, an initial ellipsoid mesh, and a cascaded mesh deformation network. The image feature network is a Visual Geometry Group Net (VGGN) containing five successive convolutional layer groups, and four pooling layers sandwiched by the five convolutional layer groups; and the cascaded mesh deformation network is a graph-based convolution network (GCN) containing three successive deformation blocks, and two graph unpooling layers sandwiched by the three successive deformation blocks. This invention is also related to a system and a method thereof.
    Type: Grant
    Filed: July 23, 2019
    Date of Patent: September 15, 2020
    Assignee: FUDAN UNIVERSITY
    Inventors: Yugang Jiang, Yanwei Fu, Nanyang Wang, Yinda Zhang, Zhuwen Li
  • Publication number: 20200082620
    Abstract: This invention is related to a network for generating 3D shape, including an image feature network, an initial ellipsoid mesh, and a cascaded mesh deformation network. The image feature network is a Visual Geometry Group Net (VGGN) containing five successive convolutional layer groups, and four pooling layers sandwiched by the five convolutional layer groups; and the cascaded mesh deformation network is a graph-based convolution network (GCN) containing three successive deformation blocks, and two graph unpooling layers sandwiched by the three successive deformation blocks. This invention is also related to a system and a method thereof.
    Type: Application
    Filed: November 12, 2019
    Publication date: March 12, 2020
    Inventors: Yugang Jiang, Yanwei Fu, Nanyang Wang, Yinda Zhang, Zhuwen Li
  • Publication number: 20200027269
    Abstract: This invention is related to a network for generating 3D shape, including an image feature network, an initial ellipsoid mesh, and a cascaded mesh deformation network. The image feature network is a Visual Geometry Group Net (VGGN) containing five successive convolutional layer groups, and four pooling layers sandwiched by the five convolutional layer groups; and the cascaded mesh deformation network is a graph-based convolution network (GCN) containing three successive deformation blocks, and two graph unpooling layers sandwiched by the three successive deformation blocks. This invention is also related to a system and a method thereof.
    Type: Application
    Filed: July 23, 2019
    Publication date: January 23, 2020
    Inventors: Yugang Jiang, Yanwei Fu, Nanyang Wang, Yinda Zhang, Zhuwen Li