Champaign, IL, United States of America

Jiahui Yu


Average Co-Inventor Count = 5.0

ph-index = 3

Forward Citations = 26(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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7 patents (USPTO):Explore Patents

Title: Jiahui Yu: Innovator in Digital Image Processing

Introduction

Jiahui Yu is a prominent inventor based in Champaign, IL, known for his significant contributions to the field of digital image processing. With a total of seven patents to his name, Yu has developed innovative solutions that enhance image editing and completion techniques.

Latest Patents

One of Yu's latest patents is titled "Predicting Patch Displacement Maps Using a Neural Network." This invention involves a digital image that serves as input for a patch matcher equipped with an offset prediction neural network. The network generates a displacement map that indicates how pixels should be moved to perform image editing operations effectively. The pixel values are then copied to the affected image pixels, facilitating seamless editing.

Another notable patent is "Digital Image Completion by Learning Generation and Patch Matching Jointly." This invention addresses the challenge of filling holes in digital images. It utilizes a dual-stage framework that combines a coarse image neural network and an image refinement network. The coarse network generates an initial prediction for filling the holes, while the refinement network enhances this prediction, resulting in a filled digital image with improved imagery.

Career Highlights

Jiahui Yu has worked with renowned companies such as Adobe, Inc., where he has applied his expertise in image processing. His work at Adobe has allowed him to contribute to cutting-edge technologies in the field.

Collaborations

Yu has collaborated with talented individuals, including Zhe Lin and Xin Lu, who have contributed to his innovative projects.

Conclusion

Jiahui Yu's work in digital image processing showcases his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of neural networks and image editing, making him a significant figure in the field.

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