This repo extends the PointNet++ model for semantic segmentation of buildings. The model is trained on a portion of the 2022 Vancouver LiDAR Dataset whereby the points are filtered by their proximity ...
Abstract: In this paper, we analyze the effects of random sampling on adaptive diffusion networks. These networks consist in a collection of nodes that can measure and process data, and that can ...
In this project, we compare MCMC methods with diffusion based methods, in particular we use pre-conditioned Crank-Nicholson (pCN) with Metropolis Hastings with TV Prior. In this work, we extend ...
Abstract: Random number generation is essential for applications in simulation, numerical analysis, and data encryption. The ubiquitous presence of system-on-chip (SoC) field-programmable gate array ...
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