About Me

I study the applicability of novel techniques in Computer Vision, Computer Graphics, and Applied Machine Learning. At UC Santa Cruz Computer Vision Lab, I focus on state-of-the-art assistive technology for people with visual impairments; specifically, scene understanding with annotation, semantic spatial information, and point cloud segmentation.

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:        CV   |     |     |   UCSC Computer Vision Lab


Latest Works

Semantic Indoor Map

Render extruded 3D floor-plans on the Open Street Map view, including room capture's point-cloud data.


  • Trinh, V., Yazdani, R., Davison, L., & Tian, C. (2016, September). Cloud-based Phone Services Accessible in the Cloud by a Remote Device. US Patent #85188048-US01.

  • Trinh, V. (2013, December). Flow of Population in a Cellular Automata Environment. Master’s Thesis. San Jose State Scholar Works.

Selected Previous Works

Quarantine Deceiving Yelp's Users by Detecting Unreliable Rating Reviews

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Articulated Manipulator for Visually Impaired People

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Isosurface Visualization for Medical Data

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Scientific Visualization for Medical Data

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Automatically generated fractal terrain

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Texture mapping for a generated terrain with Guassian noise

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Hand-tracking features using Leap Motion

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Generated scene using Ray Tracing techniques

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Height Field Surfaces

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