Beijing, China

Xibin Song


Average Co-Inventor Count = 2.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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5 patents (USPTO):Explore Patents

Title: Xibin Song: Innovator in Depth Information Processing

Introduction

Xibin Song is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of image processing, computer vision, and autonomous driving. With a total of 5 patents, his work focuses on advancing technologies that enhance depth information processing.

Latest Patents

Xibin Song's latest patents include a depth information processing method, apparatus, and storage medium. This innovation relates to image processing, particularly in computer vision, deep learning, and autonomous driving. The method involves determining intermediate depth information of a target scene based on sparse depth information, utilizing a sub-model unit in a depth information supplementing model. Additionally, he has developed a model training method and apparatus, along with a prediction method and apparatus. This application also pertains to artificial intelligence, deep learning, and image processing, where the model training method includes inputting sample images into a depth information prediction model to acquire depth information.

Career Highlights

Xibin Song has worked with notable companies such as Beijing Baidu Netcom Science and Technology Co., Ltd. and Baidu USA LLC. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking innovations in technology.

Collaborations

Throughout his career, Xibin has collaborated with talented individuals, including Jin Fang and Dingfu Zhou. These partnerships have fostered an environment of creativity and innovation, leading to the development of advanced technologies.

Conclusion

Xibin Song is a distinguished inventor whose work in depth information processing has made a significant impact on the fields of image processing and autonomous driving. His innovative patents and collaborations highlight his commitment to advancing technology.

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