Shanghai, China

Zhi Yong Zhu

USPTO Granted Patents = 5 

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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5 patents (USPTO):Explore Patents

Title: Zhi Yong Zhu: Innovator in Object Detection Technology

Introduction

Zhi Yong Zhu is a prominent inventor based in Shanghai, China, known for his contributions to the field of object detection technology. With a total of five patents to his name, Zhu has made significant advancements in the way objects are detected in video frames, enhancing the capabilities of various applications.

Latest Patents

Zhi Yong Zhu's latest patents include innovative technologies such as "Detecting objects in video frames using similarity detectors." This patent describes an apparatus that receives multiple video frames from a camera and utilizes a first still image object detector to calculate localization and confidence information for potential object patches. Additionally, it features a second still image object detector that processes an adjacent frame to enhance detection accuracy. Another notable patent is the "Bidirectional pairing architecture for object detection in video," which discusses techniques for generating enhanced feature maps for video frames by processing them in both forward and reverse directions, ultimately improving object detection information.

Career Highlights

Throughout his career, Zhi Yong Zhu has worked with leading companies in the technology sector, including Intel Corporation and Shanghai Micro Electronics Equipment Group Co., Ltd. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking innovations in object detection.

Collaborations

Zhi Yong Zhu has collaborated with notable colleagues such as Kun Yu and Ciyong Chen, further enhancing the impact of his work in the field of object detection technology.

Conclusion

Zhi Yong Zhu's contributions to object detection technology through his patents and collaborations highlight his role as a key innovator in this field. His work continues to influence advancements in video analysis and object recognition.

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