Company Filing History:
Years Active: 2022
Title: Innovator Ruiting Shao: Pioneering Three-Dimensional Shape Classification
Introduction: Ruiting Shao is an innovative inventor based in Mountain View, CA, recognized for his contribution to the field of deep learning and three-dimensional shape classification. With a patent to his name, he has made significant strides in enhancing the way we classify and retrieve 3D models using advanced neural network techniques.
Latest Patents: Ruiting holds a patent for a groundbreaking method titled "Three-dimensional shape classification and retrieval using convolutional neural networks and majority vote." This patent describes a deep learning approach that utilizes a neural network comprised of three sub-nets. This system is capable of classifying and retrieving the most similar 3D models of objects from a database, based on rough 3D models or scanned images. The unique aspect of this method is the use of majority vote for classification, rather than traditional view pooling. Additionally, the system provides a feature map along with a list of top N most similar, well-designed 3D models, enhancing its usability for designers and engineers.
Career Highlights: Currently employed at Hewlett-Packard Development Company, L.P., Ruiting has established himself as a key player in the field of 3D modeling and artificial intelligence. His work at Hewlett-Packard exemplifies the intersection of technology and innovation, contributing valuable insights and advancements to the company's offerings.
Collaborations: Ruiting collaborates with notable colleagues, including Yang Lei and Jian Fan. This team dynamic fosters an environment of creativity and innovation, allowing for the exchange of ideas that propel their research forward.
Conclusion: Ruiting Shao's inventive spirit and dedication to advancing technology through deep learning exemplify the potential for innovation in 3D shape classification and retrieval. His contributions through patent work lay a foundation for further developments in this exciting field, making significant impacts on how we approach design and modeling today.