Palo Alto, CA, United States of America

Jiachen Li

This inventor holds 1 USPTO granted patent. Top assignee: Innopeak Technology, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jiachen Li. Retrieved from https://idiyas.com/inventor/jiachen-li-lvev8xpc

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Jiachen Li in Real-Time Scene Text Area Detection

Introduction

Jiachen Li is an accomplished inventor based in Palo Alto, CA. He has made significant contributions to the field of computer vision, particularly in the area of text detection within images. His innovative approach has led to the development of a patented technology that enhances the accuracy and efficiency of scene text area detection.

Latest Patents

Jiachen Li holds a patent for a system that performs real-time scene text area detection. The patent describes a computer system that processes images containing text areas and generates a sequence of feature maps based on a specific downsampling rate. The system identifies text areas by aggregating feature maps, which improves the detection process.

Career Highlights

Jiachen Li is currently employed at Innopeak Technology, Inc., where he continues to work on cutting-edge technologies in computer vision. His expertise in image processing and machine learning has positioned him as a valuable asset to his team and the industry.

Collaborations

Jiachen collaborates with talented individuals such as Rongrong Liu and Yuan Lin, who contribute to the innovative projects at Innopeak Technology, Inc. Their combined efforts foster a creative environment that drives technological advancements.

Conclusion

Jiachen Li's work in real-time scene text area detection exemplifies the impact of innovation in computer vision. His contributions not only enhance the capabilities of image processing systems but also pave the way for future advancements in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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