Kirkland, WA, United States of America

Yiran Zhong

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Yiran Zhong: Innovating Image Processing through Neural Networks

Introduction

Yiran Zhong, an inventive mind located in Kirkland, WA, has made significant contributions to the field of image processing. With one patent to his name, he represents the forefront of technological advancement in predicting image warping through sophisticated neural network methodologies. His work has the potential to redefine how machines interpret and manipulate visual data.

Latest Patents

Zhong's patent, titled "Predicting image warping for structure from motion using neural networks," presents innovative methods and systems for estimating depth values from a sequence of images. The patent describes how to establish a search space of potential pixel matches between two images using depth hypothesis planes derived from the camera pose. By leveraging machine learning models, Zhong's approach predicts the likelihood of pixel correspondences, ultimately leading to accurate depth estimations that can be employed by machines for various operations.

Career Highlights

Yiran Zhong currently works at Nvidia Corporation, a leader in AI and computing technology, where he applies his expertise to further advancements in image processing and machine learning. His dedication to innovation is evidenced by his role in developing cutting-edge solutions that enhance how visual information is processed and interpreted.

Collaborations

In his professional journey, Yiran has had the opportunity to collaborate with esteemed colleague Nikolai Smolyanskiy. Together, they embody the synergy of teamwork in driving forward innovations in technology and image analysis.

Conclusion

Yiran Zhong stands out as a key inventor in the tech landscape, particularly in the realm of neural networks and their application to image processing. His patent highlights a significant step toward improving the accuracy of depth estimation in images, paving the way for future advancements in machine vision and its applications. As technology continues to evolve, innovators like Zhong will undoubtedly play vital roles in shaping the future of artificial intelligence and imaging systems.

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