Yanxin Ma

National University of Defense Technology

Papers

Total Citations

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About

Yanxin Ma is a leading researcher in 3D computer vision, with a primary focus on advancing object detection, localization, and benchmarking for autonomous systems. Her most influential contribution is the development of **3D-GIoU (3D Generalized Intersection over Union)**, a novel loss function designed to improve the precision of 3D object detection in point cloud data—a critical challenge for applications like autonomous driving and robotics. This work, published in 2019, has garnered **48 citations**, reflecting its significant impact on the field. Ma also made foundational contributions to the community through her work on **benchmark datasets for 3D computer vision** (2014, 25 citations), which helped standardize evaluation and accelerate progress in areas from biometrics to remote sensing. Additionally, her research on **global localization in 3D maps for structured environments** (2016) introduced a geometric method for mobile robot navigation, extracting line features from point clouds using Hough transforms. Through these contributions, Ma has helped bridge the gap between theoretical 3D vision algorithms and practical, high-precision applications in real-world autonomous systems.