Snohomish, WA, United States of America

Rehab Sabri

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rehab Sabri. Retrieved from https://idiyas.com/inventor/rehab-sabri

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Rehab Sabri and Human-Action Recognition

Introduction

Rehab Sabri is an inventor associated with Snohomish, Washington, and Microsoft Technology Licensing, LLC. His patent work addresses how computer vision systems can identify human actions involving objects.

Latest Patents

Sabri is credited with 1 patent: “Combining Body and Target Regions for Identification of a Human Action with Respect to an Object.” The invention uses a single vision model to analyze both a lower-resolution image of a person’s body and a higher-resolution image of a targeted body part interacting with an object. It can process sequential video frames by extracting body and target regions from scene images, then applying similar operations to both regions so the target can be examined at a finer level of detail. This approach is designed to improve the efficiency of identifying human actions in relation to objects.

Career Highlights

Sabri’s listed patent is associated with Microsoft Technology Licensing, LLC. The invention reflects work in computer vision and action recognition, particularly the use of image regions at different levels of detail within one model.

Collaborations

Pei Yu is identified as Sabri’s coworker. The available information does not specify her role in the patent or whether she collaborated on the invention.

Conclusion

Rehab Sabri’s patent focuses on combining whole-body and targeted image analysis to help a single vision model recognize human actions involving objects.

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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