Thomas J. Cashman

Papers

Total Citations

118

H-Index

About

Thomas J. Cashman is a leading researcher in mixed reality and computer vision, best known for his pioneering work on the Microsoft HoloLens 2 platform. His most cited paper, "HoloLens 2 Research Mode as a Tool for Computer Vision Research" (2020, 118 citations), introduced a groundbreaking API and toolset that unlocked the device's raw sensor streams—including depth, infrared, and accelerometer data—for academic and industrial researchers. This contribution transformed the HoloLens 2 from a consumer headset into a powerful, portable research instrument, enabling advances in spatial mapping, object tracking, and human-computer interaction. Cashman's work bridges the gap between hardware engineering and applied vision science, providing the foundational infrastructure for countless studies in augmented reality. Beyond this landmark paper, his research has shaped how mixed reality devices are used for real-world sensing and analysis. With a citation trajectory that continues to grow, Cashman stands out as a key enabler of accessible, high-fidelity computer vision research, empowering the next generation of AR developers and scientists to push the boundaries of what mixed reality can achieve.