Huixuan Wang

Shandong University of Science and Technology

Papers

Total Citations

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About

Huixuan Wang is a researcher specializing in computer vision and indoor localization, with a focus on developing robust and scalable visual navigation systems. Their most-cited work, "ReLoc: Indoor Visual Localization with Hierarchical Sitemap and View Synthesis" (2021), introduces an innovative framework that combines hierarchical spatial mapping with view synthesis to achieve accurate and efficient indoor positioning. This contribution addresses critical challenges in environments where GPS is unreliable, leveraging synthetic views to bridge the gap between sparse reference images and real-world query perspectives. With 5 citations, this paper has already garnered attention for its practical approach to enhancing localization robustness in complex indoor scenes. Wang’s research pushes the boundaries of visual localization, offering promising applications in robotics, augmented reality, and autonomous navigation. Their work exemplifies a blend of theoretical rigor and applied problem-solving, making it a valuable resource for students and researchers exploring next-generation positioning technologies.