Brooklyn, NY, United States of America

Vincent Perot

This inventor holds 4 USPTO granted patents and 4 published patent applications. Top assignee: Google Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vincent Perot. Retrieved from https://idiyas.com/inventor/vincent-perot

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

Calculating rank
USPTO Granted Patents = 4 

% Patents Active = 25.0

Average Co-Inventor Count = 9.9

ph-index = 1


Company Filing History:


Years Active: 2026

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4 patents (USPTO):Explore Patents

Title: Vincent Perot: Innovator in Document Entity Extraction

Introduction

Vincent Perot is an accomplished inventor based in Brooklyn, NY. He has made significant contributions to the field of document entity extraction through his innovative patent. His work focuses on utilizing machine-learned models to enhance the efficiency and accuracy of data extraction from documents.

Latest Patents

Vincent holds a patent for "Document entity extraction using machine-learned models." This patent describes systems and methods for performing document entity extraction. The method includes receiving an inference document and a target schema, generating document inputs and schema inputs, and obtaining extraction inputs based on combinations of these inputs. The process involves providing these inputs to a machine-learned model and validating the extracted entity data based on spatial locations.

Career Highlights

Vincent is currently employed at Google Inc., where he applies his expertise in machine learning and data extraction. His innovative approach has positioned him as a key player in the development of advanced data processing technologies.

Collaborations

Vincent has collaborated with notable colleagues, including Florian Luisier and Guolong Su. Their combined efforts contribute to the advancement of technologies in the field of document processing.

Conclusion

Vincent Perot's work in document entity extraction showcases his innovative spirit and dedication to improving data processing methods. His contributions are paving the way for more efficient systems in the realm of information 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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