Acton, MA, United States of America

Mason Liu

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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3 patents (USPTO):Explore Patents

Title: Mason Liu - Innovator in Video Object Detection

Introduction

Mason Liu is a prominent inventor based in Acton, MA (US). He has made significant contributions to the field of video object detection, holding a total of 3 patents. His work focuses on developing advanced systems and methods that enhance the accuracy and efficiency of detecting objects in video frames.

Latest Patents

One of Mason Liu's latest patents is titled "Memory-guided video object detection." This innovative method involves inputting a video comprising a plurality of frames into an interleaved object detection model. The model consists of multiple feature extractor networks and a shared memory layer. For each frame, the process includes selecting one of the feature extractor networks to analyze the frames, determining features, and updating the set of features based on previously extracted data stored in the shared memory layer. This approach significantly improves the detection of objects in video sequences.

Career Highlights

Mason Liu is currently employed at Google Inc., where he continues to push the boundaries of technology in video analysis. His expertise in object detection has positioned him as a valuable asset within the company, contributing to various projects that leverage machine learning and artificial intelligence.

Collaborations

Mason has collaborated with talented individuals such as Menglong Zhu and Marie Charisse White. These partnerships have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Mason Liu's work in video object detection exemplifies the impact of innovative thinking in technology. His patents and contributions to Google Inc. highlight his role as a leading inventor in this dynamic field.

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