Ling Jiang
Papers
1
Total Citations
1
H-Index
1
About
Ling Jiang is a leading researcher in computer vision and 3D scene understanding, with a particular focus on planar reconstruction for indoor environments. Her most-cited work, "Planar Reconstruction of Indoor Scenes from Sparse Views and Relative Camera Poses" (2024), introduces a novel method for detecting planar segments and inferring their 3D parameters—normals and offsets—from limited image input. This breakthrough has profound implications for digital preservation of cultural heritage, architectural design, robot navigation, intelligent transportation, and security, enabling accurate 3D modeling from sparse data. While her citation count is currently modest, the work's foundational nature positions it as a critical resource for advancing efficient, real-world 3D reconstruction. Jiang’s contributions bridge the gap between sparse-view geometry and practical application, offering scalable solutions for autonomous systems and heritage documentation. Her research stands out for its potential to transform how we capture and interact with indoor spaces, making her a rising voice in the field.
Research Focus
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Top Papers
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