Yongin, South Korea

Jeong Seon Yi

This inventor holds 2 USPTO granted patents and 5 published patent applications. Top assignee: Samsung Sds Co., Ltd.. Active years: 2017-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jeong Seon Yi. Retrieved from https://idiyas.com/inventor/jeong-seon-yi

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

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Yongin-si, KR (2017)
  • Seoul, KR (2023)

Company Filing History:


Years Active: 2017-2023

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2 patents (USPTO):Explore Patents

Title: Jeong Seon Yi: Innovator in Transfer Learning and Object Tracking

Introduction

Jeong Seon Yi is a prominent inventor based in Yongin-si, South Korea. He has made significant contributions to the fields of transfer learning and object tracking, holding a total of 2 patents. His work focuses on developing methods and apparatuses that enhance the accuracy and efficiency of machine learning models.

Latest Patents

One of his latest patents is titled "Method and apparatus for determining a base model for transfer learning." This invention provides methods and apparatuses for accurately determining a model that serves as the basis for transfer learning among multiple source models. The apparatus includes a memory with instructions and a processor that constructs a neural network model to measure the suitability of various pre-trained source models. It measures the suitability of each model by inputting data from the target domain and determines the most suitable base model for transfer learning.

Another notable patent is the "Apparatus and method for tracking object using feature descriptor, and apparatus and method for removing garbage feature." This invention discloses a method for tracking an object using a feature descriptor. It includes a feature descriptor generation unit that creates multiple feature descriptors from an input image. A matching unit then matches these descriptors with those of a target object, while a feature point removal unit eliminates descriptors that do not meet specific geometric conditions, establishing final feature descriptors for the object of interest.

Career Highlights

Jeong Seon Yi is currently employed at Samsung SDS Co., Ltd., where he continues to innovate and develop advanced technologies. His work has significantly impacted the fields of artificial intelligence and computer vision.

Collaborations

He has collaborated with notable coworkers, including Jun Hee Heu and Yong Wook Jeong, contributing to various projects that enhance the capabilities of machine learning and object tracking technologies.

Conclusion

Jeong Seon Yi's contributions to transfer learning and object tracking demonstrate his commitment to advancing technology. His innovative patents reflect his expertise and dedication to improving machine learning applications.

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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