Xiang Xie

Title: Innovations of Xiang Xie

Introduction

Xiang Xie is a notable inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in image processing and video denoising. With a total of three patents to his name, his work showcases innovative methods that enhance the efficiency and accuracy of various processes.

Latest Patents

Xiang Xie's latest patents include an implicit structured light decoding method, computer equipment, and a readable storage medium. This method involves traversing an image captured by a camera to acquire grayscale values and ideal neighborhood grayscale distributions. It efficiently decodes implicit stripe-based structured light while ensuring precision. Another notable patent is a video blind denoising method based on deep learning, which utilizes a convolutional neural network to achieve blind denoising of video sequences. This method enhances the quality of video content by effectively removing noise.

Career Highlights

Xiang Xie has worked at prestigious institutions such as Tsinghua University and Tsinghua Shenzhen International Graduate School. His experience in these organizations has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.

Collaborations

Some of his notable coworkers include Guolin Li and Zhihua Wang, who have also made significant contributions to their respective fields. Their collaboration has fostered an environment of innovation and creativity.

Conclusion

Xiang Xie's work exemplifies the spirit of innovation in technology. His patents reflect a commitment to advancing methods in image processing and video denoising. Through his contributions, he continues to influence the landscape of technological advancements.