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 based on deep learning, 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

Semantic Representation of an Indoor Blueprint

Pursue a semantic hierarchy of features that addresses a certain level of spatial details to serve the purpose of blind mobility.



Publications

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

  • Trinh, V. "Flow of Population in a Cellular Automata Environment: San Jose State University Building Editor". Master’s Thesis. San Jose State Scholar Works. 2013 (PDF)



Selected Course 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   |