Seongnam, South Korea

Byeong Heon Lee

This inventor holds 1 USPTO granted patent. Top assignee: Suprema Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Byeong Heon Lee. Retrieved from https://idiyas.com/inventor/byeong-heon-lee

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 Byeong Heon Lee in Neural Network Training

Introduction

Byeong Heon Lee is an innovative inventor based in Seongnam, South Korea. He has made significant contributions to the field of neural networks, particularly in generating deformed face images from standard face images. His work is crucial in various applications, including security and entertainment.

Latest Patents

Byeong Heon Lee holds a patent titled "Method and apparatus for training neural network for generating deformed face image from face image." This patent describes a method for training a neural network that generates a deformed face image based on a standard face image. The process involves acquiring a face image for training, extracting facial feature information, and training the neural network to produce a deformed image. The training method includes generating multiple facial feature variations that change based on the dosage or duration of drug use, utilizing the facial feature information as input data. He has 1 patent to his name.

Career Highlights

Byeong Heon Lee is associated with Suprema Inc., a company known for its advancements in biometric security solutions. His work at Suprema Inc. has allowed him to apply his innovative ideas in practical applications, enhancing the company's product offerings.

Collaborations

Byeong Heon Lee collaborates with Hyogi Lee, contributing to the development of cutting-edge technologies in their field. Their partnership exemplifies the importance of teamwork in driving innovation.

Conclusion

Byeong Heon Lee's contributions to neural network training represent a significant advancement in technology. His innovative methods have the potential to impact various industries, showcasing the importance of research and development in the field of artificial intelligence.

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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