This inventor holds 2 USPTO granted patents and 4 published patent applications. Top assignees: Tongji University, Beijing E-Hualu Info Technology Co., Ltd., Hefei University of Technology. Active years: 2021-2023.
Company Filing History:
2 out of 248 
1 out of 1 
1 out of 154 Years Active: 2021-2023
Title: Innovations of Deshuang Huang in Person Re-identification
Introduction
Deshuang Huang is a notable inventor based in Shanghai, China. He has made significant contributions to the field of person re-identification, particularly through his innovative methods that leverage deep learning technologies. With a total of 2 patents, Huang's work is at the forefront of advancements in this area.
Latest Patents
Huang's latest patents include a "Cross-modality person re-identification method based on local information learning." This method involves acquiring a standard data set, enhancing it, and constructing a training network based on a dual-stream ResNet50 convolutional neural network architecture. The process culminates in obtaining an identification accuracy value for queried images. Another significant patent is the "Method for person re-identification based on deep model with multi-loss fusion training strategy." This invention utilizes deep learning for preprocessing operations and feature extraction, significantly improving the performance of person re-identification through the fusion of multiple loss functions.
Career Highlights
Deshuang Huang has worked at prestigious institutions such as Tongji University and Hefei University of Technology. His experience in these academic environments has allowed him to develop and refine his innovative methods in person re-identification.
Collaborations
Huang has collaborated with notable colleagues, including Yong Wu and Sijia Zheng. Their joint efforts have contributed to the advancement of research in the field of person re-identification.
Conclusion
Deshuang Huang's contributions to person re-identification through his innovative patents and collaborative efforts highlight his significant role in advancing technology in this field. His work continues to influence the development of effective identification methods.