This inventor holds 1 USPTO granted patent. Top assignee: University of Electronic Science and Technology of China. 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: Xin Ye and Neural-Network-Based Fringe Analysis
Introduction
Xin Ye is an inventor associated with the University of Electronic Science and Technology of China in Qujing, China. His work includes a patent for detecting fringe lines and unwrapping phase information with a convolutional neural network.
Latest Patents
The provided information lists one patent for Xin Ye: “Fringe Line Detection and Phase Unwrapping Method and System Based on FL-Net Convolutional Neural Network.” The method uses an FL-Net network to detect fringe lines in an input image, repairs detected lines through circulation integral, and unwraps them through path integral. It then uses the network to identify and process error points. The described approach replaces down-sampling with an HDC method to avoid resolution loss and uses residual connections to help prevent the network from becoming too deep.
Career Highlights
Xin Ye is associated with the University of Electronic Science and Technology of China. The supplied data credits him with 1 patent focused on image processing and phase unwrapping.
Collaborations
The supplied information identifies Jiang Qian as Xin Ye’s coworker. It does not specify her role in the patent or the nature of their collaboration.
Conclusion
Xin Ye’s listed patent applies convolutional neural networks and integral-based processing to fringe detection, repair, and phase unwrapping.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile