Abstract: Convolutional neural networks (CNNs) are known for their exceptional performance in various applications; however, their energy consumption during inference can be substantial. Analog ...
Abstract: Deep learning methods have recently shown significant promise in compressing the geometric features of point clouds. However, challenges arise when consecutive point clouds contain holes, ...