Yu-Hsuan Yeh

National Yang Ming Chiao Tung University

Papers

Total Citations

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About

Yu-Hsuan Yeh is a researcher whose work centers on 3D scene understanding, particularly the challenging task of inferring room layouts from 360-degree panoramic images. Their key contribution, "LayoutMP3D: Layout Annotation of Matterport3D" (2020), directly addressed a critical bottleneck in the field: the lack of high-quality, large-scale training data. By creating a meticulous annotation pipeline for the Matterport3D dataset, Yeh enabled the development of more robust learning-based models for 3D layout estimation. This work, which has garnered 8 citations, is foundational for applications in virtual reality and robotics, including scene understanding and autonomous navigation. Yeh’s contributions are notable for bridging the gap between raw panoramic data and structured 3D representations, a crucial step for immersive environments. Their research continues to impact how machines perceive and navigate complex indoor spaces, making them a key figure in advancing practical 3D vision technologies.