This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Nvidia Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Yiming Li: Innovator in 3D Semantic Scene Completion
Introduction
Yiming Li is a prominent inventor based in Jersey City, NJ (US). He has made significant contributions to the field of artificial intelligence, particularly in the area of 3D semantic scene completion. His innovative work has implications for various applications, including autonomous vehicles.
Latest Patents
Yiming Li holds a patent for a technology titled "Sparse voxel transformer for camera-based 3D semantic scene completion." This patent describes an artificial intelligence framework that utilizes multiple neural networks and transformers to convert two-dimensional images into three-dimensional semantic information. The framework includes processes where neural networks generate image feature maps and depth information, which are then refined through a series of transformers to produce detailed 3D semantic outputs. This technology is particularly useful for advanced driver assistance systems (ADAS) in autonomous vehicles.
Career Highlights
Yiming Li is currently employed at Nvidia Corporation, a leading company in graphics processing and AI technology. His work at Nvidia focuses on developing cutting-edge solutions that enhance machine perception and understanding of complex environments.
Collaborations
Yiming Li collaborates with Zhiding Yu, a fellow innovator in the field. Their combined expertise contributes to the advancement of AI technologies and their applications in real-world scenarios.
Conclusion
Yiming Li's contributions to the field of artificial intelligence and 3D semantic scene completion highlight his role as a key innovator. His work not only advances technology but also paves the way for future developments in autonomous systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
