Danying Hu

Title: Danying Hu: Innovator in Cross Reality and Deep Neural Networks

Introduction

Danying Hu is a prominent inventor based in Sunnyvale, California. He has made significant contributions to the fields of cross reality systems and deep neural networks. With a total of three patents to his name, Hu is recognized for his innovative approaches to technology.

Latest Patents

One of Hu's latest patents is a cross reality system with fast localization. This system enables multiple devices to efficiently and accurately access previously persisted maps, even in large environments. It processes a batch of images acquired with a portable device to determine localization consistency. The system can quickly establish a rough localization, which is then refined for improved accuracy.

Another notable patent is his deep neural network pose estimation system. This system provides real-time pose estimation by combining two custom deep neural networks: a location classifier and an ID classifier. It achieves a 6D0F location of a fiducial marker and refines these locations into subpixel coordinates. The deep neural network excels in challenging conditions such as low-light and high-motion scenarios.

Career Highlights

Danying Hu is currently employed at Magic Leap, Inc., where he continues to push the boundaries of technology. His work focuses on enhancing user experiences through innovative systems that integrate virtual content with real-world environments.

Collaborations

Hu collaborates with talented individuals such as Miguel Andres Granados Velasquez and Javier Victorio Gomez Gonzalez. Their combined expertise contributes to the advancement of their projects and the overall success of their initiatives.

Conclusion

Danying Hu is a visionary inventor whose work in cross reality systems and deep neural networks is shaping the future of technology. His patents reflect a commitment to innovation and excellence in the tech industry.