Haslett, MI, United States of America

Yichun Shi

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Yichun Shi: Innovator in Face Recognition Technology

Introduction

Yichun Shi is a prominent inventor based in Haslett, Michigan, known for his contributions to the field of face recognition technology. With a focus on enhancing the accuracy and efficiency of face recognition systems, Shi has made significant strides in the realm of artificial intelligence.

Latest Patents

Yichun Shi holds a patent titled "Universal feature representation learning for face recognition." This innovative patent describes a computer-implemented method for face recognition that involves receiving training data comprising a variety of augmented images. The method includes splitting a feature embedding generated from the training data into multiple sub-embeddings, each associated with different variations. By applying confidence-aware identification loss and variation-decorrelation loss, the approach aims to improve face recognition performance through the learning of these sub-embeddings. Shi's work in this area has the potential to revolutionize how face recognition systems operate.

Career Highlights

Shi is currently employed at NEC Corporation, where he continues to develop cutting-edge technologies in the field of artificial intelligence and face recognition. His work at NEC has positioned him as a key player in advancing the capabilities of face recognition systems.

Collaborations

Throughout his career, Yichun Shi has collaborated with notable colleagues, including Xiang Yu and Manmohan Chandraker. These collaborations have fostered an environment of innovation and have contributed to the development of advanced technologies in the field.

Conclusion

Yichun Shi's contributions to face recognition technology exemplify the impact of innovative thinking in the field of artificial intelligence. His patent and ongoing work at NEC Corporation highlight his commitment to enhancing the capabilities of face recognition systems.

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