Shai Mazor

USPTO Granted Patents = 13 (Patent Applications = 1)

Average Co-Inventor Count = 6.1

ph-index = 5

Forward Citations = 174(Granted Patents)

Location History:

Pinyamina, IL (2022)
Binyamina, IL (2017 - 2023)

Company Filing History:

8 out of 22,475

Amazon Technologies, Inc.

patents

3 out of 54,638

Microsoft Technology Licensing, LLC

Years Active: 2017-2025

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13 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12387517 - Graph-based document layout detection (2025-08-12),

2. 11587245 - Real time calibration for time-of-flight depth measurement (2023-02-21),

3. 11341605 - Document rectification via homography recovery using machine learning (2022-05-24),

4. 11308354 - Residual context refinement network architecture for optical character recognition (2022-04-19),

5. 11257006 - Auto-annotation techniques for text localization (2022-02-22),

6. 10970530 - Grammar-based automated generation of annotated synthetic form training data for machine learning (2021-04-06),

7. 10949661 - Layout-agnostic complex document processing system (2021-03-16),

8. 10878234 - Automated form understanding via layout agnostic identification of keys and corresponding values (2020-12-29),

9. 10872236 - Layout-agnostic clustering-based classification of document keys and values (2020-12-22),

10. 10762651 - Real time calibration for time-of-flight depth measurement (2020-09-01),

11. 10311378 - Depth from time-of-flight using machine learning (2019-06-04),

12. 10229502 - Temporal time-of-flight (2019-03-12),

13. 9760837 - Depth from time-of-flight using machine learning (2017-09-12),

Title: Shai Mazor: Innovator in Document Layout Detection and Depth Measurement Technologies

Introduction

Shai Mazor is a prominent inventor based in Binyamina, Israel, known for his significant contributions to technology through his 13 patents. His work primarily focuses on advanced systems for document layout detection and innovative methods for depth measurement.

Latest Patents

One of Mazor's latest patents is a system for graph-based document layout detection. This document layout system utilizes optical character recognition (OCR) techniques to identify text within a document. It generates a graph representation that includes multiple nodes and edges, where each node corresponds to different portions of the text. The system applies a graph cluster network machine learning model to identify the layout of various sections of the document based on merge inferences for the edges. Additionally, it provides the layout of different sections of the document effectively.

Another notable patent is related to real-time calibration for time-of-flight depth measurement. This method involves transmitting light pulses to illuminate a target object and sensing light in a specific region of a light-sensitive pixel array. The method calibrates time-of-flight depth measurement reference information based on the sensed light. It further includes sensing light reflected from the target object to determine the distance based on the calibrated reference information.

Career Highlights

Shai Mazor has worked with leading technology companies, including Amazon Technologies, Inc. and Microsoft Technology Licensing, LLC. His experience in these organizations has contributed to his expertise in developing innovative technologies.

Collaborations

Mazor has collaborated with notable professionals in the field, including Amit Adam and Rahul Bhotika. These collaborations have likely enhanced his work and contributed to the success of his inventions.

Conclusion

Shai Mazor's innovative work in document layout detection and depth measurement technologies showcases his significant impact on the tech industry. His patents reflect a commitment to advancing technology and improving systems for practical applications.

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1 patent pending:

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