Beijing, China

Kai Mu

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Beihang University. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kai Mu. Retrieved from https://idiyas.com/inventor/kai-mu

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations of Inventor Kai Mu

Introduction

Kai Mu is an innovative inventor based in Beijing, China. He has made significant contributions to the field of image object detection. His work focuses on enhancing user experience through advanced technological methods.

Latest Patents

Kai Mu holds a patent for an "Image object detection method, device, electronic device and computer readable medium." This patent describes a method that includes performing region segmentation on a target image to obtain at least one image region. It also involves feature extraction on each image region to generate feature maps. The process further includes creating a semantic relation graph and a spatial distribution relation graph based on the feature maps. Ultimately, it determines a target image region from the image regions and displays it. This implementation improves user experience and increases network traffic.

Career Highlights

Kai Mu is affiliated with Beihang University, where he continues to advance his research and development in image processing technologies. His work has garnered attention for its practical applications in various electronic devices.

Collaborations

Kai Mu collaborates with notable colleagues, including Jia Qi Li and Kui Fu. Their combined expertise contributes to the innovative projects at Beihang University.

Conclusion

Kai Mu's contributions to image object detection exemplify the impact of innovation in technology. His patent reflects a commitment to improving user experience through advanced methods.

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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