Los Angeles, CA, United States of America

Chris Choy

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Nvidia Corporation. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Chris Choy in 3D Object Detection

Introduction

Chris Choy is an accomplished inventor based in Los Angeles, CA. He has made significant contributions to the field of computer vision, particularly in the area of 3D object detection. His innovative work addresses critical challenges faced in autonomous driving applications.

Latest Patents

Chris Choy holds a patent for "Long-range 3D object detection using 2D bounding boxes." This patent focuses on enhancing the capabilities of 3D object detection, which is essential for classifying and localizing objects in 3D space from 2D images or videos. Current techniques often rely on machine learning processes that utilize high-quality 3D information obtained through lidar technology. However, these methods are limited by the range of lidar, which can hinder their effectiveness in various applications, including autonomous driving. Choy's invention provides a solution for long-range detection, enabling the identification of 3D objects beyond the lidar range.

Career Highlights

Chris Choy is currently employed at Nvidia Corporation, a leading company in the field of artificial intelligence and graphics processing. His work at Nvidia has allowed him to collaborate with some of the brightest minds in the industry, contributing to advancements in technology that impact various sectors.

Collaborations

Some of Chris Choy's notable coworkers include Zhiding Yu and Ren Hao Wang. Their collaborative efforts have further propelled innovations in the realm of computer vision and machine learning.

Conclusion

Chris Choy's contributions to 3D object detection represent a significant advancement in technology, particularly for applications in autonomous driving. His innovative patent addresses critical limitations in current detection methods, paving the way for safer and more effective solutions in the future.

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