Company Filing History:
Years Active: 2024
Title: Discovering Innovations by Inventor Boyan Wei
Introduction
Boyan Wei, an innovative inventor based in Liaoning, China, is making significant contributions in the field of computer vision. His expertise focuses on dataset generation methods for self-supervised learning, particularly in the realm of 3D reconstruction. With a single patent to his name, Wei demonstrates a keen ability to address complex problems within this cutting-edge technology.
Latest Patents
Boyan Wei's notable patent is titled "Dataset generation method for self-supervised learning scene point cloud completion based on panoramas." This invention belongs to the domain of technical advancements in 3D reconstruction. The patent outlines a method for generating pairs of incomplete and target point clouds supplemented with RGB and normal information. By utilizing RGB panoramas, depth panoramas, and normal panoramas from a unified view, the technology creates a self-supervised learning dataset essential for training networks aimed at completing scene point clouds.
Career Highlights
Wei's affiliation with Dalian University of Technology has provided him with a robust platform to innovate and develop his ideas further. His work is characterized by an effective simplification of point cloud data collection methods and innovative strategies to predict occlusions. These contributions are vital for enhancing the overall efficiency of 3D reconstruction technologies.
Collaborations
Throughout his career, Boyan Wei has collaborated with notable colleagues, including Xin Yang and Tong Li. These partnerships highlight the importance of teamwork in research and development, as they collectively aim to improve methodologies in computer vision and related fields.
Conclusion
Boyan Wei exemplifies the innovative spirit driving advancements in computer vision technology. His patent addresses critical challenges in 3D reconstruction, showcasing his ability to contribute valuable insights and methodologies. As the field continues to evolve, Wei's work promises to have a lasting impact, paving the way for future innovations in self-supervised learning and beyond.