Sanpin Zhou

Title: Innovations by Sanpin Zhou

Introduction

Sanpin Zhou is a notable inventor based in Xi'an, China. He has made significant contributions to the field of visual recognition through his innovative patents. With a total of two patents to his name, Zhou's work focuses on advanced neural network techniques for image processing.

Latest Patents

Zhou's latest patents include "Foreground attentive feature learning for person re-identification" and "Point to set similarity comparison and deep feature learning for visual recognition." The first patent describes a foreground attentive neural network that learns feature representations by extracting discriminative features from the foreground of input images. This technology is applicable in various visual recognition tasks, including person re-identification and multi-target tracking. The architecture consists of a foreground attentive subnetwork, a body part subnetwork, and a feature fusion subnetwork, which collectively enhance the learning process. The second patent outlines a visual recognition system that processes images through a global sub-network and a local sub-network, ultimately minimizing ranking error through a loss layer.

Career Highlights

Sanpin Zhou is currently employed at Deep North, Inc., where he continues to develop cutting-edge technologies in visual recognition. His work has positioned him as a key figure in the advancement of neural network applications.

Collaborations

Zhou collaborates with Jinjun Wang, contributing to the innovative projects at Deep North, Inc. Their combined expertise enhances the research and development efforts within the company.

Conclusion

Sanpin Zhou's contributions to the field of visual recognition through his patents demonstrate his innovative spirit and technical expertise. His work continues to influence advancements in image processing technologies.