Boston, MA, United States of America

Kaidi Xu

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kaidi Xu. Retrieved from https://idiyas.com/inventor/kaidi-xu-pj2s91pi

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovations of Kaidi Xu

Introduction

Kaidi Xu is an accomplished inventor based in Boston, MA. He is known for his innovative contributions to the field of image processing and artificial intelligence. His work focuses on developing technologies that enhance the capabilities of object detection systems.

Latest Patents

Kaidi Xu holds a patent for an "Adversarial Image Generator." This invention allows for the insertion of adversarial patches into sample pictures, creating realistic adversarial images. The generator can be utilized to train an adversarial patch generator by embedding generated patches into sample images and submitting the resulting adversarial images to object detection models. This process enables the adversarial patch generator to create patches that can effectively defeat object detection models. He has 1 patent to his name.

Career Highlights

Kaidi Xu is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies that push the boundaries of artificial intelligence and image processing.

Collaborations

Kaidi collaborates with talented individuals such as Quanfu Fan and Sijia Liu, who contribute to his projects and research endeavors.

Conclusion

Kaidi Xu's innovative work in adversarial image generation showcases his expertise and commitment to advancing technology in the field of artificial intelligence. His contributions are paving the way for future developments in object detection systems.

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]
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