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: The robustness of correspondence-based point cloud registration relies on transformation invariance and intrinsic distinctiveness of the descriptors computed for registration. However, for ...
Abstract: The contours, one of the most significant human perceptual features, have a significant impact on point cloud processing. In urban scenes, contour extraction is quite challenging due to the ...
Abstract: The development of 3D sensors encourages researchers to process point cloud data directly. Point cloud data requires less memory but conveys more detailed 3D shape information. However, ...
Abstract: As an important data form, the point cloud (PC) can present real-world objects in a 3D and realistic way. In order to measure the performance of acquisition, processing, and compression ...
Erika’s rise came at a moment of shock within the conservative movement. With Charlie gone, the board moved quickly and unanimously to install her as his successor. The response from supporters was ...
Pointblank takes a different approach to data quality. It doesn't have to be a tedious technical task. Rather, it can become a process focused on clear communication between team members. While other ...
Abstract: Estimating the complete 3D point cloud from a partial input is a key challenge in 3D vision. Existing point cloud completion networks overlook the long-range, hierarchical features and ...
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