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Years Active: 2021-2023
Title: Ye Duan: Innovator in Depth Estimation Technology
Introduction
Ye Duan is a prominent inventor based in Columbia, MO (US), known for his contributions to machine learning and depth estimation technologies. With a total of 3 patents, he has made significant strides in developing innovative solutions that enhance various applications, including virtual reality and autonomous driving.
Latest Patents
Ye Duan's latest patents include a two-stage depth estimation machine learning algorithm and a spherical warping layer for equi-rectangular projection stereo matching. This system and method feature an end-to-end two-stage depth estimation deep learning framework that processes a single spherical color image to estimate dense spherical depth maps. The framework consists of a view synthesis stage and a multi-view stereo matching stage. By combining these two processes, the system leverages geometric constraints from stereo matching to improve the quality of depth maps without requiring additional input data. Furthermore, the spherical warping layer integrates multiple spherical feature volumes into a single cost volume with uniformly sampled inverse depth for the multi-view spherical stereo matching stage. This innovative depth estimation system has potential applications in virtual reality, autonomous driving, and robotics.
Career Highlights
Throughout his career, Ye Duan has worked with notable organizations, including Robert Bosch GmbH and Washington University. His experience in these institutions has contributed to his expertise in machine learning and depth estimation technologies.
Collaborations
Ye Duan has collaborated with talented individuals such as Zhixin Yan and Liu Ren, who have contributed to his research and development efforts.
Conclusion
Ye Duan's innovative work in depth estimation technology showcases his commitment to advancing machine learning applications. His patents and collaborations reflect his significant impact on the field, paving the way for future advancements in various industries.