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.

Contact

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

Research

Latest Works

3D-Semantic Indoor Map

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



Publications

  • 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

  PDF   |  

Articulated Manipulator for Visually Impaired People

  PDF   |  

Isosurface Visualization for Medical Data

  PDF   |  

Scientific Visualization for Medical Data

  PDF   |  

Automatically generated fractal terrain

  PDF   |  

Texture mapping for a generated terrain with Guassian noise

  PDF   |  

Hand-tracking features using Leap Motion

  PDF   |  

Generated scene using Ray Tracing techniques

  PDF   |  

Height Field Surfaces

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