Sunnyvale, CA, United States of America

Yueh-Ning Ku

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Yueh-Ning Ku in Image Creation Technology.

Introduction

Yueh-Ning Ku is an accomplished inventor based in Sunnyvale, California. He has made significant contributions to the field of image creation through his innovative patent. His work focuses on utilizing advanced technologies to enhance the generation of images, particularly through the use of generative adversarial networks.

Latest Patents

Yueh-Ning Ku holds a patent for a "Computerized system and method for image creation using generative adversarial networks." This patent discloses frameworks for generating images that include a salient object and a staged background. The process involves extracting a salient object from a source image and applying a generative model to create the final image. The salient object detection method is employed to identify relevant portions of the source image, ensuring that the generated image is both accurate and visually appealing. The generative model utilized is a generative adversarial network, which is trained using a domain-relevant dataset.

Career Highlights

Yueh-Ning Ku is currently associated with Yahoo Ad Tech LLC, where he continues to innovate and develop cutting-edge technologies in the field of image processing. His expertise in generative models has positioned him as a key player in the tech industry, contributing to advancements that have practical applications in various sectors.

Collaborations

Yueh-Ning Ku has collaborated with notable professionals in his field, including Mikhail Kuznetsov and Shaunak Mishra. These collaborations have fostered an environment of creativity and innovation, leading to the development of groundbreaking technologies.

Conclusion

Yueh-Ning Ku's contributions to image creation technology through his patent demonstrate his commitment to advancing the field. His work not only showcases his inventive spirit but also highlights the potential of generative adversarial networks in creating compelling visual content.

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