Jian Guo

Hong Kong Polytechnic University, Nanjing University of Science and Technology

Papers

Total Citations

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About

Jian Guo is a researcher whose work spans two distinct yet technically sophisticated domains: planetary remote sensing and computer vision. His early contributions focused on lunar topographic modeling, where he investigated methods for reconciling inconsistencies among elevation datasets derived from multiple lunar exploration missions. His 2012 study on least squares matching for comparing lunar topographic models addressed a critical challenge in planetary science — ensuring the reliability and consistency of terrain data essential for both mission planning and scientific analysis. This work reflects a deep engagement with geodetic and photogrammetric methods applied to extraterrestrial surfaces. More recently, Guo has pivoted toward cutting-edge artificial intelligence, contributing to the field of 6D pose estimation with his 2024 paper introducing RTFT6D, a real-time framework leveraging transformer-based fusion architectures — a highly active area in robotics and augmented reality research. Though his citation record remains developing, with his lunar topography work accumulating 3 citations and his pose estimation paper gaining early traction, Guo demonstrates a rare versatility, bridging classical geospatial science with modern deep learning, positioning himself as a researcher comfortable navigating both established and emerging technical frontiers.