Huiqing Zeng
Papers
4
Total Citations
46
H-Index
4
About
Huiqing Zeng is a leading researcher in surgical robotics and computer vision, with a focus on enhancing endoscopic visualization for minimally invasive procedures. Their work addresses critical challenges in robotic surgery, including poor image quality, fog, and limited depth perception. Zeng’s most notable contribution is the development of a multiscale bilateral-weighted Retinex algorithm for endoscopic vision augmentation (2019, 20 citations), which significantly improves visibility and safety during surgery. They also pioneered robust hybrid video motion magnification for vessel localization (2021, 10 citations), enabling surgeons to spare neurovascular bundles and reduce injury risk. Further innovations include monocular endoscope 6-DoF tracking using constrained evolutionary stochastic filtering (2023, 9 citations) and endoscopic video defogging via luminance blending (2019, 7 citations). Collectively, Zeng’s work has garnered over 46 citations, demonstrating its impact on surgical precision and patient outcomes. Their research is essential reading for students and engineers developing next-generation computer-assisted surgical systems.
Research Focus
Key Achievements
Top Papers
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- 4Endoscopic video defogging using luminance blending7 citations · 2019