Mountain View, CA, United States of America

Dian Chen

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Dian Chen

Introduction

Dian Chen is a notable inventor based in Mountain View, California. She has made significant strides in the field of technology, particularly in image processing and depth mapping. Her work has implications for various applications, including robotics and computer vision.

Latest Patents

Dian Chen holds a patent for a system that produces a depth map from a monocular two-dimensional image. This innovative system includes a processor and a memory that stores a neural network. The neural network comprises an encoding portion module, a multi-frame feature matching portion module, and a decoding portion module. The encoding portion module encodes an image to produce single-frame features. The multi-frame feature matching portion module processes these features to generate information. Finally, the decoding portion module decodes this information to produce the depth map. Notably, the training datasets for the multi-frame feature matching portion module differ from those used for the encoding and decoding modules.

Career Highlights

Dian Chen has worked with prominent organizations, including the Toyota Research Institute and Toyota Motor Corporation. Her experience in these companies has allowed her to apply her innovative ideas in real-world scenarios, contributing to advancements in automotive technology and artificial intelligence.

Collaborations

Dian has collaborated with talented individuals such as Vitor Guizilini and Rares A Ambrus. These partnerships have fostered a creative environment that encourages the exchange of ideas and enhances the development of cutting-edge technologies.

Conclusion

Dian Chen's contributions to the field of image processing and depth mapping exemplify her innovative spirit and dedication to advancing technology. Her work continues to inspire future developments in various applications.

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