Shenzhen, China

Nanjun He

This inventor holds 2 USPTO granted patents and 1 EPO patent. Top assignee: Tencent Technology (Shenzhen) Company Limited. Active years: 2025.


% Patents Active = 100.0


Average Co-Inventor Count = 4.8

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Nanjun He: Innovator in Object Recognition and Image Classification

Introduction

Nanjun He is a prominent inventor based in Shenzhen, China. He has made significant contributions to the fields of object recognition and image classification. With a total of two patents to his name, Nanjun is recognized for his innovative approaches to technology.

Latest Patents

Nanjun He's latest patents include a method for object recognition using spatial and timing information of object images at different times. This method involves extracting spatial features from a series of medical images of the same object taken at various times. By fusing these features, the method enables the recognition of the object's state based on changes over time. His second patent focuses on an image classification method that includes image segmentation and feature extraction. This process allows for the classification of content in images through a pre-trained model that is fine-tuned with labeled sample images.

Career Highlights

Nanjun He is currently employed at Tencent Technology (Shenzhen) Company Limited. His work at Tencent has allowed him to explore and develop advanced technologies in image processing and recognition. His innovative contributions have positioned him as a key figure in the tech industry.

Collaborations

Nanjun has collaborated with notable coworkers such as Yuexiang Li and Kai Ma. Their combined expertise has fostered a productive environment for innovation and development in their projects.

Conclusion

Nanjun He is a distinguished inventor whose work in object recognition and image classification has made a significant impact in technology. His patents reflect his commitment to advancing the field and improving the capabilities of image processing systems.

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