Pittsburgh, PA, United States of America

Yan Li


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2012

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1 patent (USPTO):Explore Patents

Title: Yan Li - Innovator in Object Detection Technology

Introduction

Yan Li is a prominent inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of object detection through his innovative methods and technologies. His work is particularly focused on enhancing the accuracy and efficiency of detecting various objects using advanced image processing techniques.

Latest Patents

Yan Li holds a patent for a method titled "Method for detecting objects using flexible edge arrangements." This patent describes a sophisticated approach wherein images of different types of objects within a class are partitioned into region stacks. The method involves several steps: first, it applies a template to extract fragments of a predetermined size and various spatial orientations to generate extracted templates. Next, it determines the most frequent extracted template based on the number of fragments with common spatial orientations. The method continues by recording the number of images associated with this template and iteratively refining the selection until a master extracted template is chosen. Finally, these master templates are combined into a map that is compared with background images to eliminate any matching segments.

Career Highlights

Yan Li is currently employed at Siemens Corporate Research, Inc., where he continues to develop and refine his innovative technologies. His work at Siemens has allowed him to collaborate with other talented professionals in the field, further enhancing the impact of his inventions.

Collaborations

Some of Yan Li's notable coworkers include Yanghai Tsin and Yakup Genc. Their collaborative efforts contribute to the advancement of research and development in object detection technologies.

Conclusion

Yan Li's innovative approach to object detection exemplifies the potential of technology to improve image processing methods. His contributions are paving the way for advancements in various applications, showcasing the importance of innovation in today's technological landscape.

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