Jinhui Tang

Nanjing University of Science and Technology, State Key Laboratory of High Performance Civil Engineering Materials

Papers

Total Citations

107

H-Index

About

Jinhui Tang is a leading researcher at the intersection of computer vision, robotics, and advanced materials, whose work spans from fundamental 3D perception to novel sensor technologies. His primary contributions lie in stereo matching and visual odometry, where he has developed groundbreaking methods for improving both accuracy and efficiency. Tang’s most influential work, "Accurate and Efficient Stereo Matching via Attention Concatenation Volume" (2023), has garnered 84 citations for introducing a novel cost volume representation that significantly enhances stereo correspondence—a critical capability for autonomous navigation and augmented reality. He further advanced robotic perception with "RGB-D DSO: Direct Sparse Odometry With RGB-D Cameras for Indoor Scenes" (2021), addressing the persistent challenge of performance degradation caused by occlusions and invalid depth data. Demonstrating remarkable interdisciplinary breadth, Tang also contributed to materials science with a 2024 study on stretchable, self-healable nanocomposite hydrogels for pressure and motion sensing, showcasing his ability to bridge hardware and algorithmic innovation. His work is essential reading for students and researchers seeking to understand the next generation of intelligent, perceptive systems.