Shanghai, China

Tao Lv

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Intel Corporation. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tao Lv. Retrieved from https://idiyas.com/inventor/tao-lv-83pb9af6

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

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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2 patents (USPTO):Explore Patents

Title: Innovations of Tao Lv in Image De-noising Technology

Introduction

Tao Lv is an accomplished inventor based in Shanghai, China. He has made significant contributions to the field of image processing, particularly in the area of de-noising techniques. His innovative approach utilizes advanced neural network methodologies to enhance image quality.

Latest Patents

Tao Lv holds a patent for an "Adaptive Deformable Kernel Prediction Network for Image De-noising." This invention focuses on a method for de-noising images using a convolutional neural network. The process involves generating convolutional kernels for each pixel, determining offsets, and filtering pixels to achieve a clearer image. This patent represents a notable advancement in the field of image processing.

Career Highlights

Tao Lv is currently employed at Intel Corporation, where he applies his expertise in image processing and neural networks. His work at Intel has allowed him to collaborate with leading professionals in the industry and contribute to cutting-edge technology.

Collaborations

Some of his notable coworkers include Anbang Yao and Ming Lu. Their collaborative efforts have further enhanced the research and development of innovative technologies in image processing.

Conclusion

Tao Lv's contributions to image de-noising technology exemplify the impact of innovative thinking in the field of image processing. His patent and work at Intel Corporation highlight his role as a key player in advancing this important area of technology.

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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