Seattle, WA, United States of America

Matthew Alun Brown

USPTO Granted Patents = 7 

Average Co-Inventor Count = 2.6

ph-index = 3

Forward Citations = 31(Granted Patents)


Company Filing History:


Years Active: 2011-2023

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7 patents (USPTO):Explore Patents

Title: Innovator Matthew Alun Brown: Pioneering Advances in Computer Vision

Introduction: Matthew Alun Brown, based in Seattle, WA, is a notable inventor and innovator renowned for his contributions to the field of computer vision. With a remarkable portfolio of seven patents, he has made significant strides in developing systems and methods that enhance the capabilities of machine learning and object recognition.

Latest Patents: Among Matthew's recent patents, one noteworthy invention is titled "Learning to segment via cut-and-paste." This patent introduces systems and methodologies that facilitate weakly-supervised learning of instance segmentation by leveraging a cut-and-paste technique during the training of a generator model embedded within a generative adversarial network. The approach empowers a generator model to produce object masks through an adversarial learning strategy, starting from known or predicted object bounding boxes. Another significant patent is "Generative latent textured proxies for object category modeling," which describes systems and methods for creating multiple three-dimensional (3D) proxy geometries of objects. This includes generating neural textures that represent various shapes and appearances of objects, providing them to a neural renderer to create composite images based on poses and appearances.

Career Highlights: Matthew has had a distinguished career, having worked with prestigious companies in the tech industry, including Microsoft Technology Licensing, LLC, and Google Inc. His experience in these leading firms has significantly influenced his innovative endeavors, contributing to cutting-edge advancements in technology.

Collaborations: Throughout his career, Matthew has collaborated with notable colleagues such as Richard Hartley and Grant Evan Schindler. Together, they have worked on various projects aimed at pushing the boundaries of computer vision and machine learning, reflecting a spirit of cooperation and innovation in their field.

Conclusion: Matthew Alun Brown exemplifies the spirit of innovation through his impressive work in computer vision. His latest patents represent essential contributions that not only advance technology but also pave the way for future developments in machine learning. As he continues to evolve as an inventor, there is no doubt that his impact on the industry will be profound and lasting.

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