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About

Juefei Yuan is a researcher advancing the frontiers of 3D scene understanding and retrieval. His primary research areas include 3D object and scene retrieval, 3D scene recognition, and semantic analysis of 3D models. Yuan’s most notable contribution is pioneering the field of 2D image-based 3D scene retrieval, a novel framework that allows users to search for relevant 3D scenes simply by providing a 2D scene image—making 3D data more accessible for learning and application. His work on semantic tree-based 3D scene model recognition further demonstrates his commitment to leveraging rich semantic information—such as objects, parts, and groups—to improve recognition in critical domains like robotics, autonomous driving, and augmented/virtual reality. With his most-cited paper garnering 8 citations, Yuan’s research is laying important groundwork for intuitive, semantic-driven interaction with complex 3D environments.