This inventor holds 1 USPTO granted patent. Top assignee: Samsung Electronics Co., Ltd.. Active years: 2022.
Company Filing History:
Years Active: 2022
Title: Manjun Yan - Innovator in Pose Estimation Technology
Introduction
Manjun Yan is a prominent inventor based in Xi'an, China. He has made significant contributions to the field of pose estimation technology, which is crucial for various applications in computer vision and robotics. His innovative work has led to the development of a unique patent that enhances the accuracy and efficiency of pose estimation methods.
Latest Patents
Manjun Yan holds a patent for a "Pose estimation method, pose estimation apparatus, and training method for pose estimation." This patent describes a method that utilizes an event stream from an event-based vision sensor. The sensor captures a target object equipped with light-emitting devices that flicker at a predetermined frequency. The method involves obtaining a polarity change period of at least one pixel, generating an image frame sequence, extracting a feature sequence, and estimating a pose sequence using a deep neural network model. This innovative approach significantly improves the performance of pose estimation systems.
Career Highlights
Manjun Yan is currently employed at Samsung Electronics Co., Ltd., where he continues to advance his research and development efforts in the field of pose estimation. His work at Samsung has allowed him to collaborate with leading experts and contribute to cutting-edge technology in the industry.
Collaborations
Throughout his career, Manjun has worked alongside talented colleagues, including Jiguang Xue and Chuangqi Tang. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Manjun Yan's contributions to pose estimation technology exemplify the impact of innovative thinking in the field of computer vision. His patent and ongoing work at Samsung Electronics Co., Ltd. highlight his commitment to advancing technology and improving the capabilities of pose estimation systems.
