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.
Address: 209-E2 Building, 1156 High St, Santa Cruz, CA 95064, USA
Link: | UCSC Computer Vision Lab
Describe a spatial relationship of small-scale features appearing in 3D scans of rooms within a building.
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)