Abstract: Existing airborne laser scanning (ALS) point cloud semantic segmentation approaches are limited by their overreliances on sufficient point-wise annotations that further confine their ...
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Abstract: Point cloud completion concerns the inference of the completed geometries for real-scanned point clouds that are sparse and incomplete due to occlusion, noise, and viewpoint. Previous ...
Abstract: At present, with the original point cloud as input, most of the object detectors use Pointnet++ to extract features of the point cloud based on the Farthest Point Sampling (FPS). However, ...
There are few certainties in life: death, taxes and massively increased workloads on infrastructures through the unstoppable rise of AI. And enterprises and connectivity providers know only too well ...
Abstract: Intramedullary nailing is frequently utilized in the treatment of femoral shaft fractures. However, an incorrect entry point will result in poor reduction of the shattered bones. Furthermore ...
Abstract: This paper presents a novel robust and accurate normal-assisted learning-based rigid point set registration approach, i.e., Deep Bi-directional Hybrid Mixture Registration (DeepBHMR), where ...
Microsoft announced two new Windows 11 recovery features today at the Ignite developer conference, called Cloud Rebuild and Point-in-Time Restore (PITR), that aim to reduce downtime and make it easier ...
The new era of Silicon Valley runs on networking—and not the kind you find on LinkedIn. As the tech industry funnels billions into AI data centers, chip makers both big and small are ramping up ...
A month after co-founder Charlie Kirk's assassination in Utah, the faith arm of Turning Point USA (TPUSA) has doubled its church network, while drawing in hundreds of thousands of new followers ...
Abstract: Point cloud registration is a fundamental problem in 3D computer vision. Outdoor LiDAR point clouds are typically large-scale and complexly distributed, which makes the registration ...
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