Riverside, CA, United States of America

Sayak Nag

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


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Sayak Nag - Innovator in Activity Detection Systems

Introduction

Sayak Nag is an accomplished inventor based in Riverside, CA (US). He has made significant contributions to the field of video analysis through his innovative patent. His work focuses on enhancing the detection and classification of activities in videos, which has important applications in various industries.

Latest Patents

Sayak Nag holds a patent titled "Systems and methods for semantic guided temporal activity detection and classification of videos." This patent discloses an activity detection system (ADS) that is capable of detecting, classifying, and isolating previously unseen activities in unlabeled videos. The ADS operates by leveraging semantic similarity between unseen and seen activities, allowing it to provide accurate results based on previously labeled videos. The system receives a first set of labeled videos and determines a feature set that represents the first activity. It then processes a second set of unlabeled videos in response to queries for activities that are semantically similar to the first activity.

Career Highlights

Sayak Nag is currently employed at Drnc Holdings, Inc., where he continues to develop innovative solutions in the realm of video analysis. His expertise in activity detection systems has positioned him as a valuable asset to his company.

Collaborations

Sayak collaborates with Orpaz Goldstein, contributing to the advancement of their projects and enhancing the capabilities of their systems.

Conclusion

Sayak Nag's work in the field of activity detection systems showcases his innovative spirit and dedication to improving video analysis technology. His patent reflects a significant advancement in the ability to classify and detect activities in videos, paving the way for future developments in this area.

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