Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Thomas J Catalano is a CFP and Registered Investment Adviser with the state of South ...

Abstract: Recent deep networks that directly handle points in a point set, e.g., PointNet, have been state-of-the-art for supervised learning tasks on point clouds such as classification and ...

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...

This video tutorial demonstrates how to use and leverage 3 key new features found under the Effects tab in Adobe Media Encoder CC (which replaces the much more limited Filters tab in Adobe Media ...

Adobe released an update to all of its Creative Cloud applications last week, and one of the new features available in Premiere Pro and Adobe Media Encoder is the ability to export a Digital Cinema ...

This project will no longer be maintained by Intel. Intel has ceased development and contributions including, but not limited to, maintenance, bug fixes, new releases, or updates, to this project.

Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.

Abstract: Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical automatic identification system (AIS) data and accurately predict ...

Abstract: The extensive computational burden limits the usage of CNNs in mobile devices for dense estimation tasks. In this paper, we present a lightweight network to address this problem, namely ...

Abstract: 3D point cloud completion problem deals with completing the shape from partial points. The problem finds its application in many vision-related applications. Here, structure plays an ...

Abstract: Existing learning-based arbitrary-scale point cloud upsampling methods are usually challenged with limited point cloud feature representation and noise-sensitive refinement of coarse point ...