Hubei, China

Fangyi Liu


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Fangyi Liu in Person Re-Identification

Fangyi Liu is an accomplished inventor based in Hubei, China. He has made significant contributions to the field of computer vision, particularly in the area of person re-identification. His innovative approach combines advanced techniques in deep learning and attention mechanisms.

Latest Patents

Fangyi Liu holds a patent for a "Person re-identification method based on perspective-guided multi-adversarial attention." This method utilizes a deep convolutional neural network that includes a feature learning module, a multi-adversarial module, and a perspective-guided attention mechanism module. The multi-adversarial module is followed by a global pooling layer and a perspective discriminator after each stage of the basic network of the feature learning module. The perspective-guided attention mechanism module serves as an attention map generator and the perspective discriminator. The training process of the deep convolutional neural network involves learning from the feature learning module, the multi-adversarial module, and the perspective-guided attention mechanism module. The proposed method effectively extracts features from testing images and performs feature matching using Euclidean distance on images in a query set and images in a gallery set.

Career Highlights

Fangyi Liu is affiliated with Wuhan University, where he continues to advance his research and development in innovative technologies. His work has garnered attention for its practical applications in enhancing the accuracy of person re-identification systems.

Collaborations

Fangyi Liu collaborates with Mang Ye, a talented woman in the field, contributing to the advancement of their research projects.

Conclusion

Fangyi Liu's contributions to the field of person re-identification through his innovative patent demonstrate his expertise and commitment to advancing technology. His work at Wuhan University and collaboration with colleagues further highlight the importance of teamwork in driving innovation.

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