Meylan, France

JongMin Lee

This inventor holds 1 USPTO granted patent. Top assignee: Naver Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: JongMin Lee. Retrieved from https://idiyas.com/inventor/jongmin-lee-n39o9mpu

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of JongMin Lee

Introduction

JongMin Lee is a notable inventor based in Meylan, France. He has made significant contributions to the field of object pose estimation through his innovative patent. His work focuses on enhancing the accuracy and efficiency of computer vision systems.

Latest Patents

JongMin Lee holds a patent titled "System and method for model-free, one-shot object pose estimation via coordinate regression." This invention describes a computer-implemented method and system that utilizes an object-agnostic model for predicting the pose of an object in an image. The method involves receiving a query image containing a target object and a set of reference images from various viewpoints. It encodes these images using a vision transformer to generate token features, extracts relevant information through a transformer decoder, and processes the data to create a 2D-3D mapping and confidence map. Ultimately, this process determines the pose of the target object in the query image.

Career Highlights

JongMin Lee is currently employed at Naver Corporation, where he continues to develop innovative solutions in the realm of computer vision. His expertise and dedication to research have positioned him as a valuable asset in his field.

Collaborations

JongMin collaborates with Romain Brégier, contributing to advancements in technology and innovation.

Conclusion

JongMin Lee's work exemplifies the intersection of technology and innovation, particularly in the area of object pose estimation. His contributions are paving the way for future advancements in computer vision systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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