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Years Active: 2022-2024
Title: The Innovative Mind of Xipeng Yang: A Look at His Contributions to Image Processing
Introduction: Xipeng Yang, an accomplished inventor based in Beijing, China, has made significant advancements in the field of image processing. With three patents to his name, his work focuses on deep learning methodologies that enhance image depth estimation models, showcasing his expertise in the intersection of technology and innovation.
Latest Patents: Yang’s latest contributions to the field include two notable patents. The first, titled "Method for Training Image Depth Estimation Model," involves a sophisticated process where environmental images, point cloud data, and edge information are inputted into a model to derive initial depth information of pixel points. The model optimizes this information based on feature relationships, leading to refined depth estimations. The second patent, "Method and Apparatus for Determining Target Anchor," outlines a procedure for extracting feature maps from images, followed by feature fusion and anchor determination through a network. This innovation represents a significant leap in accurately identifying object dimensions in images.
Career Highlights: Throughout his career, Xipeng Yang has contributed to prominent technology firms, including Baidu, where he refined his skills and expanded his expertise in image processing and artificial intelligence. His work at Beijing Baidu Netcom Science Technology Co., Ltd and Beijing Baidu Netcom Science and Technology Co., Ltd has positioned him as a key contributor in tech innovation.
Collaborations: Yang has collaborated with notable peers, including Xiao Tan and Hao Sun. These partnerships reflect his commitment to advancing the field through shared knowledge and collective innovation.
Conclusion: Xipeng Yang stands out as a significant figure in the technology landscape, particularly in image processing. His inventive spirit and contributions, highlighted by his patents, play a crucial role in shaping modern methodologies that enhance how we understand and process visual information. As his work continues to evolve, the impact of his innovations will undoubtedly inspire future advancements in technology.
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