Sung-Eui Yoon

Title: Innovations of Sung-Eui Yoon

Introduction

Sung-Eui Yoon is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of technology, particularly in sound source localization and image denoising. With a total of 3 patents, his work reflects a commitment to advancing innovative solutions in his area of expertise.

Latest Patents

One of his latest patents is a "Ray clustering learning method based on weakly-supervised learning for denoising through ray tracing." This method focuses on learning a denoising model that effectively removes noise from rendered images using ray tracing techniques. The process involves extracting features from simulated rays and clustering them through contrastive learning.

Another notable patent is the "System and method for localization for non-line of sight sound source." This invention provides a method and system for diffraction-aware non-line of sight (NLOS) sound source localization. It reconstructs indoor spaces and generates acoustic rays based on audio signals collected from these environments. The system estimates the position of an NLOS sound source by analyzing points where the acoustic rays are diffracted.

Career Highlights

Sung-Eui Yoon is affiliated with the Korea Advanced Institute of Science and Technology, where he continues to push the boundaries of research and innovation. His work has garnered attention for its practical applications in various fields, including audio technology and image processing.

Collaborations

He collaborates with notable colleagues such as In Young Cho and Yuchi Huo, contributing to a dynamic research environment that fosters innovation and creativity.

Conclusion

Sung-Eui Yoon's contributions to technology through his patents demonstrate his expertise and dedication to innovation. His work in sound localization and image denoising continues to influence advancements in these fields.