College Station, TX, United States of America

Junru Wu

USPTO Granted Patents = 1 

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 Junru Wu in Face Spoofing Detection

Introduction

Junru Wu is an accomplished inventor based in College Station, TX (US). He has made significant contributions to the field of face recognition technology, particularly in the area of face spoofing detection. His innovative approach combines various data sources to enhance the accuracy and reliability of face recognition systems.

Latest Patents

Junru Wu holds a patent for a groundbreaking method titled "Face spoofing detection using a physical-cue-guided multi-source multi-channel framework." This computer-implemented method involves receiving a set of data that includes face recognition data, liveness data, and material data associated with at least one face image. The process includes obtaining a shared feature from the data using a backbone neural network structure. It also performs several tasks, including face recognition, depth estimation, liveness detection, and material prediction. The outputs of these tasks are aggregated using an attention mechanism to improve face spoofing detection performance. He has 1 patent to his name.

Career Highlights

Junru Wu is currently employed at NEC Corporation, where he continues to develop innovative solutions in the field of computer vision and artificial intelligence. His work has been instrumental in advancing the capabilities of face recognition systems, making them more secure and efficient.

Collaborations

He collaborates with talented colleagues, including Xiang Yu and Buyu Liu, who contribute to the research and development efforts at NEC Corporation. Their combined expertise fosters a creative environment that drives innovation.

Conclusion

Junru Wu's contributions to face spoofing detection represent a significant advancement in the field of face recognition technology. His innovative methods and collaborative efforts continue to shape the future of secure identification systems.

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