Abstract: Downsampling is a crucial task for processing large scale and/or dense point clouds with limited resources. Owing to the development of deep learning, approaches of task-oriented point cloud ...

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: The self-attention (SA) network revisits the essence of data and has achieved remarkable results in text processing and image analysis. SA is conceptualized as a set operator that is ...

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 ...

A degree in computer science is as worthwhile as ever. There is, after all, a lot more to the field than just coding. The discipline covers many exciting topics, such as IT system design, security, ...

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: Targeted fine-tuning of lightweight convolutional neural networks (CNNs) is a core approach to enabling edge devices to adapt to personalized scenarios with limited resources. However, most ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require. When you purchase through links on our site, we may earn an affiliate ...

Abstract: Against the dual backdrop of normalized pandemic prevention and control measures and the intensification of population aging, the demand for noncontact hand function intelligent ...