Seoul, South Korea

Subin Jeon

This inventor holds 1 USPTO granted patent. Top assignee: Yonsei University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Subin Jeon. Retrieved from https://idiyas.com/inventor/subin-jeon

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

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Subin Jeon and Neural Reconstruction of Moving Objects

Introduction

Subin Jeon is an inventor based in Seoul, South Korea, associated with Yonsei University. His patent work addresses the reconstruction of moving objects in video using a hierarchical neural deformation model.

Latest Patents

Jeon is named on 1 patent: “Device and Method for Reconstructing Moving Objects in Videos Using a Hierarchical Neural Deformation Model.” The invention describes a system that receives video and generates canonical and time-based embeddings for an object. A neural model uses these embeddings to capture coarse-to-fine deformations and produce a time-independent bone structure alongside time-dependent bone deformations. The system then represents the object’s changing form over time in a canonical space.

Career Highlights

The patent reflects work at the intersection of computer vision, neural modeling, and video-based 3D reconstruction. Its hierarchical approach is designed to represent both an object’s underlying structure and its movement over time.

Collaborations

Jeon’s listed coworkers include Seon Joo Kim and In Cho. The patent information provided associates his work with Yonsei University.

Conclusion

Subin Jeon’s patent presents a neural approach to reconstructing moving objects by combining hierarchical deformation modeling with representations of structure and motion.

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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