This inventor holds 1 USPTO granted patent. Top assignees: Texas State University, The University of Texas System, University of Science and Technology of China. Active years: 2016.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2016
Title: Wengang Zhou: Innovator in Image Retrieval Technology
Introduction
Wengang Zhou is a prominent inventor based in Hefei, China. He has made significant contributions to the field of image retrieval technology, particularly through his innovative patent. His work focuses on enhancing the efficiency and effectiveness of large-scale image retrieval systems.
Latest Patents
Wengang Zhou holds a patent titled "Geometric coding for billion-scale partial-duplicate image search." This invention addresses the limitations of traditional Bag-of-Visual-Words models in capturing the geometric context among local features in images. The novel geometric coding algorithm he developed encodes the spatial context of local features, enabling effective global verification to eliminate spatially inconsistent matches. This approach is computationally efficient and adept at detecting duplicate images despite variations in rotation, scale, occlusion, and background clutter. He has 1 patent to his name.
Career Highlights
Throughout his career, Wengang Zhou has worked at esteemed institutions such as Texas State University and The University of Texas System. His experience in these organizations has allowed him to collaborate with other experts in the field and further his research in image retrieval technologies.
Collaborations
Wengang Zhou has collaborated with notable colleagues, including Yijuan Lu and Qi Tian. Their joint efforts have contributed to advancements in the understanding and application of geometric coding in image retrieval.
Conclusion
Wengang Zhou's innovative work in geometric coding for image retrieval systems showcases his expertise and dedication to improving technology in this field. His contributions are paving the way for more efficient and effective image retrieval solutions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile