Yibo Shi

Papers

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About

Yibo Shi is a researcher at the forefront of computational photography and mobile imaging, with a particular focus on making advanced photographic techniques both fast and accessible. His most-cited work, "Fast and Reliable Computational Rephotography on Mobile Device" (2018, 15 citations), addresses the challenging task of rephotography—capturing a new image from the exact same pose as a historical reference photo. This technique is invaluable for studying environmental change, monitoring urban development, and detecting subtle transformations over time. Shi's key contribution lies in overcoming the limitations of previous approaches, which either relied on tedious manual alignment or required high-precision, non-portable equipment. By developing a computationally efficient and reliable algorithm optimized for mobile devices, he democratized rephotography, enabling casual users and researchers alike to perform precise image alignment on-the-go. This work bridges the gap between professional-grade computational imaging and everyday smartphone use, showcasing Shi's talent for translating complex computer vision problems into practical, user-friendly solutions. His research continues to push the boundaries of what is possible in mobile computational photography.