Jersey City, NJ, United States of America

Rohit Girdhar

This inventor holds 1 USPTO granted patent. Top assignee: Meta Platforms, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rohit Girdhar. Retrieved from https://idiyas.com/inventor/rohit-girdhar-arfzzkm7

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


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Rohit Girdhar: Innovator in Video Action Anticipation Technology

Introduction

Rohit Girdhar is an accomplished inventor based in Jersey City, NJ (US). He has made significant contributions to the field of video processing and action anticipation through his innovative patent.

Latest Patents

Rohit Girdhar holds a patent for an "Anticipative video transformer model for future action anticipation." This invention involves a computing system that processes a video comprising multiple image frames. The system generates image-frame features using a spatial-attention encoder for each frame. It then utilizes a temporal-attention decoder to predict future features based on the preceding image-frame features. Ultimately, the system anticipates future actions that may occur after a sequence of observed actions in the video.

Career Highlights

Rohit Girdhar's work in the field of video technology showcases his expertise and innovative thinking. His patent reflects a deep understanding of machine learning and video analysis, positioning him as a key player in advancing this technology.

Collaborations

Rohit has collaborated with Kristen Lorraine Grauman, further enhancing the development and application of his innovative ideas in the realm of video processing.

Conclusion

Rohit Girdhar's contributions to the field of video action anticipation through his patent demonstrate his innovative spirit and technical expertise. His work is paving the way for advancements in how we understand and predict actions in video content.

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]
Loading…