This inventor holds 1 USPTO granted patent. Top assignee: Beijing University of Posts and Telecommunications. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Zhongwei Si: Innovator in Fine-Grained Image Recognition
Introduction
Zhongwei Si is a prominent inventor based in Beijing, China. He has made significant contributions to the field of image recognition technology. His innovative work focuses on enhancing the accuracy and efficiency of fine-grained image classification.
Latest Patents
Zhongwei Si holds a patent for a fine-grained image recognition method, electronic device, and storage medium. The patent outlines a comprehensive approach that includes feature extraction, calculation of feature discriminant loss function, calculation of feature diversity loss function, and model optimization loss function. This method addresses challenges such as large intra-class differences and small inter-class differences, while also mitigating the impact of background noise. By implementing constraints that enhance the discriminative features of each class, his invention significantly improves the performance of multiple fine-grained image classification tasks.
Career Highlights
Zhongwei Si is affiliated with the Beijing University of Posts and Telecommunications. His work at this institution has allowed him to collaborate with other talented researchers and contribute to advancements in image recognition technology.
Collaborations
Zhongwei Si has worked alongside notable colleagues, including Zhanyu Ma and Dongliang Chang. Their collaborative efforts have furthered research in the field and led to innovative solutions in image processing.
Conclusion
Zhongwei Si's contributions to fine-grained image recognition exemplify the impact of innovative thinking in technology. His patent and collaborative work continue to influence advancements in the field, showcasing the importance of research and development in image classification.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile