This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: The Innovative Contributions of Ming Zhong
Introduction
Ming Zhong is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of object recognition through his innovative patent. His work focuses on enhancing the efficiency of training data generation, which is crucial for the development of advanced recognition systems.
Latest Patents
Ming Zhong holds a patent titled "Automatically generating training data sets for object recognition." This patent outlines a method and apparatus for automatically generating a training data set for object recognition. The process involves obtaining profile information of various objects and collecting initial images associated with each object based on their identity information. These images are then filtered to create a refined set of filtered images. Subsequently, training data pairs are generated by labeling these filtered images with the corresponding identity information. This comprehensive approach allows for the effective addition of training data pairs into the training data set. He has 1 patent to his name.
Career Highlights
Ming Zhong is currently employed at Microsoft Technology Licensing, LLC, where he applies his expertise in technology and innovation. His work at Microsoft has positioned him as a key player in the development of cutting-edge solutions in the tech industry.
Collaborations
Ming Zhong has collaborated with talented individuals such as Dehua Cui and Albert Thambiratnam. These partnerships have fostered a creative environment that encourages the exchange of ideas and the advancement of technology.
Conclusion
Ming Zhong's contributions to the field of object recognition through his innovative patent demonstrate his commitment to advancing technology. His work not only enhances the efficiency of training data generation but also plays a vital role in the development of intelligent systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
