Taipei, Taiwan

Tsung-Yuan Hsu


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Tsung-Yuan Hsu: Innovator in 3D Human Pose Estimation

Introduction

Tsung-Yuan Hsu is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the field of computer vision, particularly in the area of human pose estimation. His innovative work has led to the development of a patented method that enhances the understanding of human body movements through image analysis.

Latest Patents

Tsung-Yuan Hsu holds a patent for a "Method and system for generating a three-dimensional global pose from an image." This patent describes a sophisticated method for generating a three-dimensional (3D) global pose by receiving an image and detecting a human body within it. The process involves obtaining a two-dimensional (2D) heatmap related to the skeleton structure of the human body, which includes multiple human keypoints. The method further entails performing a 3D human pose estimation operation on the 2D coordinate sets to derive a 3D human pose in a local coordinate system. Ultimately, a numerical optimization solver is used to generate a 3D global pose in a world coordinate system. Tsung-Yuan Hsu has 1 patent to his name.

Career Highlights

Tsung-Yuan Hsu is associated with Red Pill Lab Limited, where he applies his expertise in computer vision and machine learning. His work at the company focuses on advancing technologies that leverage image processing for various applications. His innovative approach has positioned him as a key figure in the development of cutting-edge solutions in his field.

Collaborations

Tsung-Yuan Hsu has collaborated with notable colleagues, including Dobromir Todorov and Ting-Chieh Lin. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of innovative solutions.

Conclusion

Tsung-Yuan Hsu is a distinguished inventor whose work in 3D human pose estimation has made a significant impact in the field of computer vision. His patented method showcases his innovative thinking and dedication to advancing technology.

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