This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: University-Industry Cooperation Group of Kyung Hee University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Yu Qiao: Innovator in Image Segmentation Technology
Introduction
Yu Qiao is a prominent inventor based in Gyeonggi-do, South Korea. He has made significant contributions to the field of image processing, particularly in the area of image segmentation. His innovative work has led to the development of a unique method that enhances the efficiency of image segmentation models.
Latest Patents
Yu Qiao holds a patent for a "Knowledge distillation method for compressing image segmentation model and computing device for performing the same." This patent describes a method that involves training a first image segmentation model, constructing a second image segmentation model according to preset constraints, and performing knowledge distillation for the second image embedding layer based on the trained first model. This innovative approach aims to improve the performance and efficiency of image segmentation tasks.
Career Highlights
Yu Qiao is affiliated with the University-Industry Cooperation Group of Kyung Hee University. His role in this group allows him to bridge the gap between academic research and practical applications in the industry. His work is characterized by a strong focus on advancing technology in image processing.
Collaborations
Yu Qiao collaborates with Chaoning Zhang, contributing to the development of cutting-edge technologies in their field. Their partnership exemplifies the collaborative spirit that drives innovation in research and development.
Conclusion
Yu Qiao's contributions to image segmentation technology through his innovative patent demonstrate his commitment to advancing the field. His work not only enhances the capabilities of image processing but also reflects the importance of collaboration in driving technological progress.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile