Orlando, FL, United States of America

Mamshad Nayeem Rizve

This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignees: Microsoft Technology Licensing, LLC, University of Central Florida Research Foundation Inc.. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mamshad Nayeem Rizve. Retrieved from https://idiyas.com/inventor/mamshad-nayeem-rizve

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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2 patents (USPTO):Explore Patents

Title: Mamshad Nayeem Rizve: Innovator in Temporal Action Localization

Introduction

Mamshad Nayeem Rizve is an accomplished inventor based in Orlando, FL. He has made significant contributions to the field of video analysis and action localization, holding 2 patents that showcase his innovative approaches.

Latest Patents

His latest patents include "Prior-driven supervision for weakly-supervised temporal action localization." This patent describes a classifier model trained for temporal action localization of video clips. The model ingests training video clips that include actions of interest for identification. It identifies action characteristics within the frames of the video clip and determines an actionness score for each frame based on these characteristics. Class activation sequence (CAS) scores are then produced, correlating actionness scores with corresponding class activation scores to generate base confidence predictions of temporal locations of actions of interest.

Another notable patent is "Methods of real-time spatio-temporal activity detection and categorization from untrimmed video segments." This invention focuses on detecting and categorizing actions in untrimmed video segments, regardless of the scale of the action or proximity to other actions. The methods utilize a plurality of tubelets to represent discreet actions, persons, and objects of interest. These tubelets are localized to correct for pixel-level foreground-background biases and are transformed into short spatio-temporal action tubelets for classification.

Career Highlights

Mamshad has worked with prominent organizations such as Microsoft Technology Licensing and the University of Central Florida Research Foundation. His experience in these institutions has allowed him to refine his skills and contribute to cutting-edge research in video analysis.

Collaborations

He has collaborated with notable colleagues, including Ye Yu and Yogesh Singh Rawat, further enhancing his work in the field.

Conclusion

Mamshad Nayeem Rizve is a pioneering inventor whose work in temporal action localization and video analysis continues to influence the industry. His innovative patents and collaborations reflect his commitment to advancing technology in this domain.

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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