I work on (i) designing a system for the collective spatial mapping of indoor environments, (ii) prototyping of combining AI techniques (3D-scene segmentation & object annotation) with human insights to improve the user experience, and (iii) investigating its applicability to assistive technologies for people with visual impairments, promoting pre-journey spatial awareness. 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

Publications

• Trinh, V., & Manduchi, R. A Multi-scale Embossed Map Authoring Tool for Indoor Environments. In Proceedings of The 17th International Conference on Computers Helping People with Special Needs. 2020. (PDF)

• Trinh, V., & Manduchi, R. Feeling Your Way Around: Assessing the Perceived Utility of Multi-Scale Indoor Tactile Maps. In Extended Abstracts of The 2020 CHI Conference on Human Factors in Computing Systems. 2020. (PDF | VID)

• 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. Articulated Manipulator for Visually Impaired People. 2016. (PDF)

• Trinh, V., More, V., Zare S., & Homayon, S. Quarantine Deceiving Yelp's Users by Detecting Unreliable Rating Reviews. 2016. (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)