Jingwen Dai

Papers

Total Citations

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About

Jingwen Dai is a leading researcher in augmented reality, robotics, and computer vision, best known for pioneering work in fiducial marker systems and structured light sensing. His landmark contribution, **TopoTag**, introduced in a 2020 paper with 56 citations, is a robust and scalable topological fiducial marker system that revolutionizes pose estimation for AR and robot navigation. Unlike traditional markers, TopoTag leverages topological patterns to achieve high reliability even under occlusion, distortion, or challenging lighting, making it a go-to solution for real-world applications requiring precise camera-to-object alignment. Earlier, Dai advanced structured light sensing with his 2012 work on embedding imperceptible codes into video projection, a technique that seamlessly integrates depth sensing into everyday displays while overcoming trade-offs between invisibility and retrieval robustness. Though this foundational paper has 5 citations, its innovative anti-noise schemes laid groundwork for unobtrusive 3D sensing in robotics. Dai’s research bridges theoretical rigor and practical scalability, earning recognition for enabling more resilient, deployable systems in interactive environments. His work continues to influence how machines perceive and interact with the physical world, making him a key figure in the evolution of spatial computing and autonomous navigation.