Milpitas, CA, United States of America

Ning Xu

This inventor holds 49 USPTO granted patents and 2 published patent applications, primarily in Digital Image Processing. Top assignees: Adobe, Inc., Memsic Transducer Systems Co., Ltd., Beijing Jingdong Shangke Information Technology Co., Ltd.. Active years: 2010-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ning Xu. Retrieved from https://idiyas.com/inventor/ning-xu-9otuwfh9

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

USPTO Granted Patents = 49 

% Patents Active = 98.0

Average Co-Inventor Count = 3.0

ph-index = 7

Forward Citations = 225(Granted Patents)


Location History:

  • Mountain View, CA (US) (2021)
  • San Jose, CA (US) (2010 - 2023)
  • Urbana, IL (US) (2019 - 2023)
  • Milpitas, CA (US) (2020 - 2024)

Company Filing History:


Years Active: 2010-2025

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Areas of Expertise:
Inpainting
Neural Networks
Object Segmentation
Image Editing
Deep Learning
Semantic Layout
Photo Editing
Image Matting
Video Segmentation
Font Recognition
Cascaded Modulation
Attention Mechanisms
49 patents (USPTO):Explore Patents

Title: The Innovative Work of Inventor Ning Xu in Image Matting Technologies

Introduction:

Ning Xu, a prolific inventor based in Milpitas, CA, has made significant contributions to the field of image matting technologies with a total of 34 patented inventions to his name.

Latest Patents:

Ning Xu's recent patents include "Patch-based image matting using deep learning" and "Interactive image matting using neural networks." These patents showcase his expertise in utilizing deep neural networks for generating precise alpha mattes in images based on various user input specifications.

Career Highlights:

With a background in companies such as Adobe Inc. and Memsic Transducer Systems Co., Ltd., Ning Xu has honed his skills in the intersection of technology and visual arts. His innovative approaches to image matting have led to groundbreaking advancements in the field.

Collaborations:

Throughout his career, Ning Xu has collaborated with esteemed professionals such as Brian Lynn Price and Scott David Cohen. Together, they have pushed the boundaries of image matting techniques, incorporating user interaction and deep learning methodologies to enhance the quality of alpha mattes in images.

Conclusion:

Inventor Ning Xu's dedication to advancing image matting technologies through deep learning strategies has cemented his reputation as a pioneer in the field. His continuous innovation and collaborations have significantly impacted the industry, setting new standards for image processing techniques.

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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