The internet may feel instant, but behind every video, message, and stream is a complex system moving billions of data packets across global networks. This video explains how early computer networks ...

Abstract: Existing projection-related point cloud quality assessment (PCQA) methods commonly adopt a straightforward but content-independent projection strategy, which selects a certain number of ...

Abstract: Present day innovative technologies like object identification, image division and photo creation are based different values of high-resolution picture processing. In the last few years, ...

Abstract: With the rapid advancement of three-dimensional (3D) sensing technology, point cloud has emerged as one of the most important approaches for representing 3D data. However, quality ...

Abstract: Global single-valued biomarkers, such as ejection fraction, are widely used in clinical practice to assess cardiac function. However, they only approximate the heart's true 3D deformation ...

Abstract: Point cloud upsampling (PCU) aims to transform sparse and unevenly distributed point clouds into dense and uniform counterparts with intricate geometric details of real-world objects.

Abstract: Accurate road marking extraction and classification play a significant role in the development of autonomous vehicles (AVs) and high-definition (HD) maps. Due to point density and intensity ...

Abstract: To accurately and efficiently determine the operating state of transformers, based on the driving point admittance method, a trapezoidal equivalent network model for dual-windings ...

Abstract: Quantum computing holds immense promise for solving complex problems beyond the reach of classical computers. However, the realization of practical quantum ...

Abstract: LiDAR and camera are the most common used sensors to percept the road scenes in autonomous driving. Current methods tried to fuse the two complementary information to boost 3D object ...