Mountain View, CA, United States of America

Gigon Bae

This inventor holds 2 USPTO granted patents. Top assignee: Nvidia Corporation. Active years: 2023-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gigon Bae. Retrieved from https://idiyas.com/inventor/gigon-bae

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: The Innovations of Gigon Bae

Introduction

Gigon Bae is a notable inventor based in Mountain View, CA. He has made significant contributions to the field of image processing through his innovative patents. With a total of 2 patents, Bae continues to push the boundaries of technology.

Latest Patents

Gigon Bae's latest patents focus on targeted object detection in image processing applications. These patents describe apparatuses, systems, and techniques to train and apply a first machine learning model to identify a plurality of regions of interest within an input image. Additionally, they detail the training and application of a plurality of second machine learning models to identify one or more objects within each region of interest identified by the first machine learning model.

Career Highlights

Bae is currently employed at Nvidia Corporation, a leading company in graphics processing technology. His work at Nvidia allows him to collaborate with some of the brightest minds in the industry, further enhancing his innovative capabilities.

Collaborations

One of his notable coworkers is Shekhar Dwivedi, with whom he collaborates on various projects related to machine learning and image processing.

Conclusion

Gigon Bae's contributions to targeted object detection and image processing exemplify his innovative spirit and dedication to advancing technology. His work at Nvidia Corporation continues to influence the field significantly.

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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