Seoul, South Korea

Hye Ran Byun

USPTO Granted Patents = 5 

Average Co-Inventor Count = 4.9

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2016-2024

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5 patents (USPTO):Explore Patents

Title: The Innovative Mind of Hye Ran Byun

Introduction

Hye Ran Byun, based in Seoul, South Korea, is a prominent inventor in the field of object localization technologies. With a total of five patents to her name, Byun has made significant contributions that aim to enhance image processing algorithms through weakly supervised learning methods.

Latest Patents

Among her latest patents are two groundbreaking innovations: the "Weakly Supervised Object Localization Apparatus and Method" and the "CAM-Based Weakly Supervised Learning Object Localization Device and Method." The former patent features a sophisticated apparatus that employs a feature map generator, an erased feature map generator, a final map generator, and a contrastive guidance determiner. Each component collaborates to interpret input images effectively.

The latter patent focuses on a device that extracts feature maps from convolutional neural networks (CNN). It includes a weight vector binarization unit and a class activation map generation unit, allowing for enhanced performance in object localization tasks.

Career Highlights

Throughout her career, Hye Ran Byun has collaborated with several esteemed organizations. She has worked with the University Industry Foundation, Yonsei University, and Hyundai Mobis Co., Ltd. These experiences have enriched her expertise and allowed her to develop innovative solutions within the field.

Collaborations

In her professional journey, Byun has collaborated with notable coworkers, including Kwang Yong Lim and Jewook Lee. These partnerships have played a crucial role in her research and have fostered an environment of innovation and creativity.

Conclusion

Hye Ran Byun is a visionary inventor whose work in weakly supervised object localization continues to impact the field significantly. With every patent, she paves the way for future advancements in image processing and contributes valuable knowledge and technology to the scientific community. Her dedication to innovation reflects the potential for technology to revolutionize how we understand and interact with visual information.

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