Stanford, CA, United States of America

JunYoung Gwak


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: JunYoung Gwak: Innovator in 3D Point Cloud Segmentation

Introduction

JunYoung Gwak is a notable inventor based in Stanford, CA (US). He has made significant contributions to the field of 3D point cloud segmentation, showcasing his expertise through innovative patent developments. His work is particularly relevant in the context of advancing technologies that require precise spatial data interpretation.

Latest Patents

JunYoung Gwak holds a patent for "Systems and methods for semantic segmentation of 3D point clouds." This invention focuses on obtaining 3D point-level segmentation of 3D point clouds. The patent describes a system that includes at least one processor and a memory containing a segmentation pipeline application. The application configures the processor to pre-process a 3D point cloud, group 3D points, and utilize a 3D neural network to generate initial label predictions. It further refines these predictions using a graph neural network, ultimately outputting a segmented 3D point cloud. This innovative approach enhances the accuracy and efficiency of processing 3D spatial data.

Career Highlights

JunYoung Gwak is affiliated with Leland Stanford Junior University, where he continues to contribute to research and development in his field. His work has garnered attention for its potential applications in various industries, including robotics, autonomous vehicles, and virtual reality.

Collaborations

Some of his notable coworkers include Lyne P Tchapmi and Christopher Bongsoo Choy. Their collaborative efforts contribute to the advancement of research in 3D point cloud technologies.

Conclusion

JunYoung Gwak's innovative work in 3D point cloud segmentation exemplifies the impact of modern inventions on technology. His contributions are paving the way for future advancements in spatial data processing.

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