This inventor holds 1 USPTO granted patent. Top assignee: National University of Defense Technology. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Innovations of Xiaofei Li in Camouflaged Object Detection
Introduction
Xiaofei Li is an accomplished inventor based in Hunan, China. He has made significant contributions to the field of camouflaged object detection through his innovative patent. His work focuses on enhancing the capabilities of detection systems, making them more effective in identifying camouflaged objects.
Latest Patents
Xiaofei Li holds a patent titled "Counterfactual context-aware texture learning for camouflaged object detection." This patent describes a sophisticated network system that includes a camera for capturing input images, a processor for performing detection, and a memory for storing various modules. The system is designed to execute program instructions that enhance the detection of camouflaged objects by utilizing advanced texture-aware and context-aware techniques.
Career Highlights
Xiaofei Li is affiliated with the National University of Defense Technology, where he applies his expertise in developing cutting-edge technologies. His work has garnered attention for its innovative approach to solving complex problems in object detection.
Collaborations
Xiaofei Li has collaborated with notable colleagues, including Jun Lei and Miaomiao Yu. These partnerships have contributed to the advancement of research and development in their respective fields.
Conclusion
Xiaofei Li's contributions to camouflaged object detection exemplify the impact of innovative thinking in technology. His patent showcases the potential for advancements in detection systems, paving the way for future developments in this critical area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile