Shaofan Wang

Title: Innovations of Shaofan Wang

Introduction

Shaofan Wang is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of image recognition and 3D reconstruction. With a total of 3 patents, his work is at the forefront of technological advancements.

Latest Patents

One of his latest patents is the "Dictionary learning method and means for zero-shot recognition." This innovative method establishes the alignment between visual space and semantic space at both the category layer and image level, enabling high-precision zero-shot image recognition. The process involves training a cross-domain dictionary of a category layer, generating semantic attributes of an image, and completing recognition tasks for invisible category images.

Another notable patent is the "3D reconstruction method based on deep learning." This method utilizes a potential vector constrained in the input image to reconstruct the complete 3D shape of a target. It learns the mapping between parts and the complete 3D shape, achieving high-precision reconstruction through a series of well-defined steps.

Career Highlights

Shaofan Wang is affiliated with the Beijing University of Technology, where he continues to push the boundaries of research and innovation. His work has garnered attention for its practical applications in various industries.

Collaborations

He has collaborated with notable colleagues, including Dehui Kong and Lichun Wang, contributing to a dynamic research environment that fosters innovation.

Conclusion

Shaofan Wang's contributions to image recognition and 3D reconstruction highlight his role as a leading inventor in his field. His innovative patents reflect a commitment to advancing technology and improving practical applications.