IEEE

Extracting Structural Elements From 3D Point Clouds in Indoor Environments via Machine Learning Techniques

Abstract: The utilization of three-dimensional point clouds is an advanced approach for detecting the geometry of objects within a building environment. Nonetheless, a vast amount of data still needs ...
IEEE

Deep Learning-Based Point Cloud Compression: An In-Depth Survey and Benchmark

Abstract: With the maturity of 3D capture technology, the explosive growth of point cloud data has burdened the storage and transmission process. Traditional hybrid point cloud compression (PCC) tools ...
BBC

Hamas response to US Gaza plan is significant - but there are key omissions

Hamas agreeing to release the remaining hostages, albeit subject to negotiations and certain conditions being met, will give real hope to the family members in Israel who have been desperate for this ...
KRQE Blogs

New Mexico State University offering tours of Apache Point Observatory

NEW MEXICO (KRQE) – New Mexico State University is offering a look inside its observatory in the Sacramento Mountains. The Apache Point Observatory, which is located around 17 miles south of ...
IEEE

Self-Attentive Local Aggregation Learning With Prototype Guided Regularization for Point Cloud Semantic Segmentation of High-Speed Railways

Abstract: Point cloud semantic segmentation for railway infrastructures is an essential step towards establishing railway digital twins. Deep learning-based methods have shown great potential in this ...
thenewsmarket

NMSU’s Apache Point Observatory to host open house October 11

WHAT: Apache Point Observatory (APO), in partnership with New Mexico State University’s Department of Astronomy, will host an open house from 10 a.m. to 2 p.m. Saturday, October 11. This event is free ...
IEEE

Point Patches Contrastive Learning for Enhanced Point Cloud Completion

Abstract: In partial-to-complete point cloud completion, it is imperative that enabling every patch in the output point cloud faithfully represents the corresponding patch in partial input, ensuring ...
IEEE

Supervised Contrastive Learning for Indoor Point Cloud Oversegmentation

Abstract: Point cloud oversegmentation method can obtain a series of superpoints by grouping points that are semantically and geometrically consistent. The generated superpoints can be treated as the ...
IEEE

A Survey of Label-Efficient Deep Learning for 3D Point Clouds

Abstract: In the past decade, deep neural networks have achieved significant progress in point cloud learning. However, collecting large-scale precisely-annotated point clouds is extremely laborious ...
The New York Times

What Charlie Kirk Understood That Democrats Need to Learn

Mr. Della Volpe is the director of polling at the Harvard Kennedy School Institute of Politics. The fatal shooting of Charlie Kirk is both a human tragedy and a political inflection point. His ...
IEEE

Quantum Machine Learning for 6G Space-Air-Ground Integrated Networks: A Comprehensive Tutorial and Survey

Abstract: Space-air-ground integrated networks (SAGINs) are emerging as a fundamental architecture for 6G systems to enable massive connectivity, novel applications, extreme data rates, ultra-low ...
IEEE

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

Abstract: Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across ...