About Me

I study the applicability of novel techniques in Computer Vision and Machine Learning to the collective spatial mapping of indoor environments. At the UC Santa Cruz Computer Vision Lab, I focus on assistive technology for people with visual impairments; specifically, pre-journey spatial awareness and scene understanding whose underlying technologies are in the domains of floor plan analysis, 3D indoor scene segmentation, and 3D object annotation.

Prior joining to UC Santa Cruz, I collaborated with Huawei, Apple, and Symantec as a software engineer. Aside from academia and industry, I am a traveler, backpacker, and miniature hobbyist.


Email:      vqtrinh@ucsc.edu
Address:  209-E2 Building, 1156 High St, Santa Cruz, CA 95064, USA
Link:          |   UCSC Computer Vision Lab


Current work

Semantic Interior Mapology

Describe a spatial relationship of small-scale features appearing in 3D scans of rooms within a building.


  • Trinh, V., & Manduchi, R. Semantic Interior Mapology: A Toolbox For Indoor Scene Description From Architectural Floor Plans. In Proceedings of The 24th International ACM Conference on 3D Web Technology. 2019. (PDF)

  • Yazdani, R., Tian, C., Davison, L., & Trinh, V. Cloud based phone services accessible in the cloud by a remote device. United States Patent Application 15/406,302. 2018. (PDF)

  • Trinh, V. Flow of Population in a Cellular Automata Environment: Building Editor. In San Jose State Scholar Works. doi:10.31979/etd.93sj-hyrf. 2013. (PDF | VID)

Selected works

Quarantine Deceiving Yelp's Users by Detecting Unreliable Rating Reviews (PDF)

Articulated Manipulator for Visually Impaired People (PDF)

Isosurface Visualization for Medical Data (VID)

Scientific Visualization for Medical Data (VID)

Automatically generated fractal terrain (VID)