Atlanta, GA, United States of America

Meera Hahn

This inventor holds 1 USPTO granted patent. Top assignee: Nec Corporation. Active years: 2023.


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Meera Hahn: Innovator in Video Retrieval Technology

Introduction

Meera Hahn is a prominent inventor based in Atlanta, GA, known for her contributions to the field of video retrieval technology. With a focus on enhancing deep learning methods, she has developed innovative solutions that improve the efficiency of video analysis.

Latest Patents

Meera Hahn holds a patent for an invention titled "Efficient and fine-grained video retrieval." This patent presents a computer-implemented method executed by at least one processor for performing mini-batching in deep learning by improving cache utilization. The method includes several key steps, such as temporally localizing a candidate clip in a video stream based on a natural language query and encoding a state into a joint visual and linguistic representation. The invention employs a deep learning network to selectively extract features for video-text analysis, ultimately generating an action policy that rewards policy actions returning clips matching the natural language query.

Career Highlights

Meera currently works at NEC Corporation, where she applies her expertise in video retrieval and deep learning technologies. Her innovative approach has positioned her as a valuable asset in her field, contributing to advancements in how video data is processed and analyzed.

Collaborations

Throughout her career, Meera has collaborated with notable colleagues, including Asim Kadav and Iain Melvin. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Meera Hahn's work in video retrieval technology exemplifies the impact of innovative thinking in the realm of deep learning. Her contributions continue to shape the future of video analysis, making significant strides in the efficiency and effectiveness of this technology.

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