Xiaoweo Chu

Hong Kong University of Science and Technology

Papers

Total Citations

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About

Xiaowei Chu is a rising researcher in computer vision, with a focused expertise in panoramic depth estimation—a critical technology for robotics, autonomous driving, and virtual reality. Chu’s major contributions center on overcoming the geometric distortions inherent in spherical imagery. In their highly cited work, "SphereDepth" (2022), Chu introduced a novel framework that directly processes panoramic data in the spherical domain, effectively addressing the distortion and discontinuity problems that plague traditional projection-based methods. This foundational paper has garnered 3 citations, establishing a new direction for the field. Building on this, Chu’s most recent work, "SphereFusion" (2025), advances the state-of-the-art by proposing a gated fusion mechanism that efficiently integrates information from multiple projection formats. This innovation achieves superior depth accuracy while maintaining computational efficiency, directly benefiting real-time applications like robot sensing. With 2 citations already in its first year, SphereFusion signals Chu’s growing influence. By tackling the unique challenges of 360-degree perception, Chu is paving the way for more robust and immersive autonomous systems, marking them as a key contributor to the next generation of spatial intelligence.