Lingfei Ma

Central University of Finance and Economics, University of Waterloo

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Total Citations

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About

Lingfei Ma is a leading researcher in 3D computer vision and spatial intelligence, whose work centers on point cloud processing, 3D object detection, and indoor SLAM. Ma’s most significant contribution is the development of the Geometric Relation Network (GRNet), a pioneering framework that enhances 3D object detection from point clouds by explicitly modeling geometric relationships between points, achieving 26 citations and setting a new standard for structured point cloud understanding. Ma also co-authored a highly influential survey on point cloud completion (32 citations), which systematically maps the field’s challenges—such as handling disordered data—and its critical applications in remote sensing, medical imaging, and robotics. In indoor navigation, Ma introduced SLAM-TSM, an innovative approach that fuses LiDAR SLAM with total station measurements to dramatically improve trajectory estimation accuracy in feature-poor environments. This work addresses a long-standing bottleneck in indoor robotics and autonomous navigation. With a growing citation record and a focus on bridging fundamental geometric reasoning with practical deployment, Lingfei Ma is shaping the future of how machines perceive and interact with 3D spaces.