This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignees: Beijing E-Hualu Info Technology Co., Ltd., Hefei University of Technology, Tongji University. Active years: 2021.
Company Filing History:
1 out of 1 
1 out of 154 
1 out of 248 Years Active: 2021
Title: Yongjun Lin: Innovator in Person Re-Identification Technology
Introduction
Yongjun Lin is a prominent inventor based in Beijing, China. He has made significant contributions to the field of deep learning, particularly in the area of person re-identification. His innovative approach combines advanced techniques to enhance the accuracy and efficiency of identifying individuals across various scenarios.
Latest Patents
Yongjun Lin holds a patent for a method titled "Method for person re-identification based on deep model with multi-loss fusion training strategy." This invention utilizes deep learning technology to perform preprocessing operations such as flipping, clipping, random erasing, and style transfer. Feature extraction is conducted through a backbone network model, and joint training of the network is achieved by fusing multiple loss functions. Compared to other algorithms, this method significantly improves the performance of person re-identification by employing various preprocessing modes and an effective training strategy.
Career Highlights
Throughout his career, Yongjun Lin has worked with notable organizations, including Beijing E-Hualu Info Technology Co., Ltd. and Tongji University. His experience in these institutions has allowed him to collaborate with other experts in the field and further develop his innovative ideas.
Collaborations
Some of his notable coworkers include Xinyong Zhao and Yang Zhao. Their collaboration has contributed to the advancement of research and development in the area of person re-identification.
Conclusion
Yongjun Lin's contributions to deep learning and person re-identification technology highlight his role as an influential inventor. His innovative methods and collaborative efforts continue to shape the future of this field.