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Published in , 2023
This research provides a benchmark for event-based camera denoising, including an event-based dataset with various noise levels and types and a nonreference event denoising metric.
Published in , 2023
Evacuation efficiency is generally believed to be influenced by obstacles. In this experiment, we investigate the impact of placing various diversion evices in front of bottlenecks on pedestrian flow.
Published in , 2024
An exploration of hyper real-time flame detection using event cameras, which includes the FlaDE dataset captured by DAVIS 346 and a SVM algorithm for hyper real-time flame detection.’
Published in , 2025
In this work, we present an AR training system that provides the immersive experience for safety training and fully supports room-scale motion and interactions.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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