Beijing, China

Mingyuan Xiao

This inventor holds 1 USPTO granted patent. Top assignee: Chinese Academy of Sciences. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mingyuan Xiao. Retrieved from https://idiyas.com/inventor/mingyuan-xiao

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Mingyuan Xiao

Introduction

Mingyuan Xiao is a prominent inventor based in Beijing, China. He has made significant strides in the field of expression recognition technology. His work focuses on developing methods that enhance the accuracy and efficiency of recognizing facial expressions in natural scenes.

Latest Patents

Mingyuan Xiao holds a patent for an "Expression recognition method under natural scene." This innovative method involves several steps, including converting input video into a sequence of frames, labeling facial expressions, and removing the impact of natural light and head posture. The process also includes augmenting the video frame sequence and extracting various features using deep neural networks. Ultimately, these features are fused and classified using a support vector machine, showcasing a comprehensive approach to expression recognition.

Career Highlights

Mingyuan Xiao is affiliated with the Chinese Academy of Sciences, where he contributes to cutting-edge research and development in his field. His work has garnered attention for its practical applications in various industries, including security and human-computer interaction.

Collaborations

Mingyuan has collaborated with notable colleagues such as Jianhua Tao and Yu Wang. Their combined expertise has further advanced the research and development of innovative technologies in expression recognition.

Conclusion

Mingyuan Xiao's contributions to the field of expression recognition are noteworthy and reflect his dedication to innovation. His patent and collaborative efforts continue to influence advancements in technology.

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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