Ziheng Zhang

Paper [3], published or accepted

Gaze-Driven Mixed Reality for Dimensional Quality Assessment of Timber Components Using a Few-Shot RGB-D Vision Foundation Model

Zhang, Z., Yang, X., Fu, Y.*, and Ghosh Mondal, T.

Advanced Engineering Informatics, 77, 105186 (2027).

Summary

A gaze-driven mixed reality framework for the dimensional inspection of timber components: the inspector's gaze prompts a few-shot RGB-D vision foundation model.

Cite

@article{zhang2027gazedriven,
  title     = {Gaze-Driven Mixed Reality for Dimensional Quality Assessment of Timber Components Using a Few-Shot RGB-D Vision Foundation Model},
  author    = {Zhang, Z. and Yang, X. and Fu, Y. and Ghosh Mondal, T.},
  journal   = {Advanced Engineering Informatics},
  year      = {2027},
  volume    = {77},
  pages     = {105186},
  doi       = {10.1016/j.aei.2026.105186}
}

All publications (15)

  1. [1]

    Integrating Mixed Reality with Key Digital Technologies for Elevating On-site Construction Efficiency: An Integrative Review and Framework

    Zhang, Z., Ghosh Mondal, T., Yang, X., and Fu, Y.*

    ASCE Journal of Construction Engineering and Management, 152(10), 03126011 (2026). DOI

  2. [2]

    Automated Noncontact Geometric Quality Assessment of Building Elements Integrating Mixed Reality, Depth Sensing, and Vision Foundation Model

    Zhang, Z., Ghosh Mondal, T., Yang, X., and Fu, Y.*

    ASCE Journal of Computing in Civil Engineering, 40(1), 04025130 (2026). DOI

  3. [4]

    Human-in-the-Loop Rebar Inspection: Integrating Vision Foundation Model with Mixed Reality for Construction Quality Assurance

    Zhang, Z.*, Ghosh Mondal, T., and Yang, X.

    2026 IEEE International Conference on Human-Machine Systems (ICHMS), Singapore, 452–457 (2026). DOI

  4. [5]

    Automated Rebar Spacing Measurement in Mixed Reality Using RebarSAM and Monocular Depth Estimation

    Zhang, Z., Yang, X., Fu, Y.*, and Ghosh Mondal, T.

    Automation in Construction. Minor revision.