Overview of one stage in PointMLP. Given an input point cloud, PointMLP progressively extracts local features using residual point MLP blocks. In each stage, we first transform the local point using a ...

Abstract: PointNet++ (MSG), a PointNet++ module, can accurately identify tree species from 3-D point clouds. However, one drawback of the MSG method is its inability to classify high-density point ...

Abstract: Unmanned aerial vehicles (UAVs) are proven useful for enabling wireless power transfer (WPT), resource offloading, and data collection from ground IoT devices in post-disaster scenarios ...

Abstract: Human-centric Point Cloud Video Understanding (PVU) is an emerging field focused on extracting and interpreting human-related features from sequences of human point clouds, further advancing ...

Abstract: Millimeter-wave network deployment is an essential and ongoing problem due to the limited coverage and expensive network infrastructure. In this work, we solve a joint network deployment and ...

Abstract: Precise 3D object detection plays a pivotal role within the perception module of autonomous vehicles. Many approaches have shown promising results for 3D object detection with lidar.

Could 2026 be the year of the beautiful back end? We explore the range of options for server-side JavaScript development, from Express to Next and all the rest. A grumpy Scrooge of a developer might ...

Even though collections from the goods and services tax (GST) remained almost flat in November, government sources indicated that the rate rationalisation of the indirect tax is providing the desired ...

Abstract: The robust balancing capability of humanoids is essential for mobility in real environments. Many studies focus on implementing human-inspired ankle, hip, and stepping strategies to achieve ...

US President Donald Trump said late Tuesday that a US-drafted 28-point Russia-Ukraine peace framework was only “a map” rather than a finalized peace plan as his administration is making “progress” ...