Shenzhen, China

Zhanghui Kuang

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2022

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3 patents (USPTO):Explore Patents

Title: Innovations of Zhanghui Kuang in Image Processing Technology

Introduction

Zhanghui Kuang is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of image processing technology. With a total of three patents to his name, his work focuses on enhancing the efficiency and effectiveness of image retrieval and processing methods.

Latest Patents

Zhanghui Kuang's latest patents include a network module and distribution method and apparatus, as well as an electronic device and storage medium. The distribution method involves distributing neurons to feature maps in an image processing model, filtrating neurons based on their importance, and collecting statistics to establish a distribution relationship. This relationship indicates how each feature map corresponds to the neurons it passes through. Additionally, his image retrieval method includes performing dimension reduction on convolutional layer features, clustering these features, and retrieving images from a database based on a global feature derived from the clustering process.

Career Highlights

Zhanghui Kuang is currently employed at Shenzhen Sensetime Technology Co., Ltd. His work at this innovative company has allowed him to push the boundaries of image processing technology. His patents reflect a deep understanding of neural networks and their application in real-world scenarios.

Collaborations

Zhanghui collaborates with talented coworkers such as Wei Zhang and Xiao Jin. Their combined expertise contributes to the advancement of technology in their field.

Conclusion

Zhanghui Kuang's contributions to image processing technology through his patents demonstrate his innovative spirit and dedication to advancing the field. His work continues to influence the development of efficient image retrieval methods and processing techniques.

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