Dian Chen

Title: The Innovative Contributions of Dian Chen

Introduction

Dian Chen is a prominent inventor based in San Jose, California. She has made significant contributions to the field of technology, particularly in the area of image processing and depth estimation. Her work has led to the development of innovative systems and methods that enhance the understanding of visual data.

Latest Patents

Dian Chen holds a patent for "Systems and methods for estimating scaled maps by sampling representations from a learning model." This patent describes a method that involves encoding data embeddings through a learning model to create conditioned latent representations using attention networks. The process includes computing a probability distribution of these representations and sampling them to generate variations for data embeddings. Ultimately, the method estimates scaled depth maps of a scene from these variations at different coordinates.

Career Highlights

Throughout her career, Dian Chen has worked with notable organizations, including the Toyota Research Institute, Inc. and Toyota Jidosha Kabushiki Kaisha. Her experience in these companies has allowed her to apply her innovative ideas in practical settings, contributing to advancements in automotive technology and artificial intelligence.

Collaborations

Dian has collaborated with talented individuals such as Vitor Campagnolo Guizilini and Igor Vasiljevic. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Dian Chen's contributions to the field of technology through her innovative patent and collaborations highlight her role as a leading inventor. Her work continues to influence advancements in image processing and depth estimation, showcasing the importance of innovation in today's technological landscape.