Jinwei Yuan

Title: Jinwei Yuan - Innovator in Pixel Correspondence Technology

Introduction

Jinwei Yuan is a notable inventor based in Sunnyvale, CA. He has made significant contributions to the field of image processing, particularly in the area of pixel correspondence. His innovative approach has led to the development of a unique method that enhances the accuracy of image analysis.

Latest Patents

Jinwei Yuan holds 1 patent for his invention titled "Learnable cost volume for determining pixel correspondence." This method involves obtaining a first plurality of feature vectors associated with a first image and a second plurality of feature vectors associated with a second image. The process includes generating transformed feature vectors by applying a kernel matrix trained to define an elliptical inner product space. Furthermore, it generates a cost volume by determining inner products between transformed feature vectors and corresponding candidate feature vectors. Ultimately, this method allows for the determination of pixel correspondence between two images.

Career Highlights

Jinwei Yuan is currently employed at Google Inc., where he continues to push the boundaries of technology and innovation. His work has been instrumental in advancing image processing techniques, making significant impacts in various applications.

Collaborations

Throughout his career, Jinwei has collaborated with talented individuals such as Taihong Xiao and Deqing Sun. These collaborations have fostered an environment of innovation and creativity, leading to groundbreaking advancements in their respective fields.

Conclusion

Jinwei Yuan's contributions to the field of image processing through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the industry and inspire future innovations.