This inventor holds 1 USPTO granted patent. Top assignee: Nvidia Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Jingsheng Cai: Innovator in Neural Network Applications
Introduction
Jingsheng Cai is a prominent inventor based in Gainesville, FL (US). He has made significant contributions to the field of image processing through his innovative patent. His work focuses on utilizing neural networks for advanced image segmentation techniques.
Latest Patents
Jingsheng Cai holds a patent for "Three-dimensional image segmentation using neural networks." This invention allows for automatic volumetric quantification of various parameters of an object by providing volumetric data, such as three-dimensional image data, to at least one neural network. The network is capable of extracting features from the data to infer a point cloud that represents the surface of the object. By employing one or more loss functions, the network parameters can be adjusted effectively. Additionally, the network attempts to infer a segmentation mask for the object, indicating which data values correspond to the object of interest. This parallel processing of segmentation and point cloud generation enhances the accuracy of the segmentation process compared to conventional methods.
Career Highlights
Jingsheng Cai is currently associated with Nvidia Corporation, a leading technology company known for its advancements in graphics processing and artificial intelligence. His work at Nvidia allows him to further explore and develop his innovative ideas in neural networks and image processing.
Collaborations
Jingsheng Cai collaborates with Daguang Xu, contributing to the advancement of their shared research interests and projects.
Conclusion
Jingsheng Cai's contributions to neural network applications in image segmentation highlight his innovative spirit and dedication to advancing technology. His work continues to influence the field and pave the way for future developments.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
