Shenzhen, China

Matthew Robert Scott

This inventor holds 9 USPTO granted patents and 14 published patent applications. Top assignees: Shenzhen Malong Technologies Co., Ltd., Other. Active years: 2020-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthew Robert Scott. Retrieved from https://idiyas.com/inventor/matthew-robert-scott-jmf0s87p

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

USPTO Granted Patents = 9 

% Patents Active = 33.3

Average Co-Inventor Count = 4.5

ph-index = 2

Forward Citations = 27(Granted Patents)


Company Filing History:


Years Active: 2020-2023

Loading Chart...
9 patents (USPTO):Explore Patents

Title: Matthew Robert Scott: Innovator in Action Recognition and Image Classification

Introduction

Matthew Robert Scott is a prominent inventor based in Shenzhen, China. He has made significant contributions to the fields of action recognition and multi-label image classification. With a total of 9 patents to his name, Scott's work is at the forefront of technological advancements in loss prevention and image processing.

Latest Patents

One of Scott's latest patents is titled "Retail inventory shrinkage reduction via action recognition." This innovative disclosure includes technologies for action recognition that can automatically detect various types of actions in video footage. The system is designed to identify reportable actions that may lead to shrinkage, providing practical applications for loss prevention in the retail industry. The patent outlines a three-branch architecture used in a machine learning model for action and activity recognition. This architecture integrates knowledge of the actor and the scene at different levels to enhance recognition capabilities.

Another notable patent is "Decoupling category-wise independence and relevance with self-attention for multi-label image classification." This patent presents methods and systems for generating a multi-label classification system that utilizes a neural network to identify multiple labels for an image. The system explicitly considers the relationships between classes when identifying labels. A relevance sub-network captures the relevance information between classes, allowing the system to focus on the interdependencies rather than treating classes as independent.

Career Highlights

Matthew Robert Scott has worked with Shenzhen Malong Technologies Co., Ltd., where he has contributed to various innovative projects. His expertise in machine learning and image processing has positioned him as a key player in the technology sector.

Collaborations

Scott has collaborated with notable colleagues, including Weilin Huang and Sheng Guo, who have also contributed to advancements in technology and innovation.

Conclusion

Matthew Robert Scott's work in action recognition and image classification showcases his innovative spirit and dedication to advancing technology. His patents reflect a commitment to solving real-world problems through cutting-edge solutions.

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]
Loading…