Mountain View, CA, United States of America

Andre Filgueiras De Araujo

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2019-2020

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2 patents (USPTO):Explore Patents

Title: Innovations of Andre Filgueiras De Araujo

Introduction

Andre Filgueiras De Araujo is an accomplished inventor based in Mountain View, CA. He has made significant contributions to the field of image retrieval technology. With a total of 2 patents, his work focuses on enhancing the efficiency and accuracy of image retrieval applications.

Latest Patents

His latest patents include "Image retrieval with deep local feature descriptors" and "attention-based keypoint descriptors." These systems and methods utilize machine-learned image descriptor models for various applications. A trained image descriptor model analyzes a plurality of database images to create a large-scale index of keypoint descriptors. An image retrieval application can provide a query image as input to this model, resulting in a set of keypoint descriptors associated with the query image. These descriptors are then analyzed relative to the index to determine matching descriptors through a nearest neighbor search. The matching descriptors are geometrically verified to identify one or more matching images from the database, which can then be retrieved and displayed within the application.

Career Highlights

Andre is currently employed at Google Inc., where he continues to innovate in the field of image processing and retrieval. His work has been instrumental in advancing the capabilities of image retrieval systems.

Collaborations

He collaborates with talented individuals such as Jiwoong Jack Sim and Bohyung Han, who contribute to the development of cutting-edge technologies in their respective fields.

Conclusion

Andre Filgueiras De Araujo's contributions to image retrieval technology exemplify the impact of innovative thinking in the tech industry. His patents reflect a commitment to improving how images are processed and retrieved, showcasing the importance of advancements in this area.

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