Hong Kong, China

Yunhe Gao

USPTO Granted Patents = 1 

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: The Innovative Contributions of Yunhe Gao

Introduction

Yunhe Gao is a prominent inventor based in Hong Kong, China. He has made significant contributions to the field of image processing, showcasing his expertise through his innovative patents. His work is particularly relevant in today's technology-driven world, where image processing plays a crucial role in various applications.

Latest Patents

Yunhe Gao holds a patent for an "Image processing method and device, and computer-readable storage medium." This patent outlines a method that includes performing feature extraction on an image to be processed through a primary image segmentation model. The process results in a feature map of the image, which is then used for image segmentation according to a target image segmentation model. This model is derived from adversarial training with an image encoding model, which places a shape constraint on the target segmentation result. The innovation aims to improve the accuracy of image segmentation, making it a valuable contribution to the field.

Career Highlights

Yunhe Gao is associated with SenseTime Group Limited, a leading company in artificial intelligence and image processing technologies. His role at the company allows him to apply his inventive skills in a practical setting, contributing to advancements in AI-driven solutions.

Collaborations

Yunhe Gao has collaborated with notable colleagues, including Rui Huang and Zhiqiang Hu. These partnerships enhance the innovative environment in which he works, fostering creativity and the development of cutting-edge technologies.

Conclusion

Yunhe Gao's contributions to image processing through his patent and work at SenseTime Group Limited highlight his role as a significant inventor in the field. His innovative methods are paving the way for advancements in technology that improve image segmentation accuracy.

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