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

PatchMixing Masked Autoencoders for 3D Point Cloud Self-Supervised Learning

Abstract: Recently, Point-MAE has extended Masked Autoencoders (MAE) to point clouds for 3D self-supervised learning, which however faces two problems: (1) the shape similarity between the masked ...
IEEE

Prototype-Voxel Contrastive Learning for LiDAR Point Cloud Panoptic Segmentation

Abstract: LiDAR point cloud panoptic segmentation, including both semantic and instance segmentation, plays a critical role in meticulous scene understanding for autonomous driving. Existing 3D ...
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 ...
IEEE

Contrastive Boundary Learning for Point Cloud Segmentation

Abstract: Point cloud segmentation is fundamental in understanding 3D environments. However, current 3D point cloud segmentation methods usually perform poorly on scene boundaries, which degenerates ...
IEEE

DeepPSF: On-Orbit Point Spread Function Estimation of Space Camera With Deep Learning

Abstract: Obtaining an on-orbit space camera’s point spread function (PSF) is challenging but necessary for remote sensing image (RSI) restoration. Current methods rely on regular ground targets, ...
IEEE

Unsupervised Point Cloud Registration by Learning Unified Gaussian Mixture Models

Abstract: Sampling noise and density variation widely exist in the point cloud acquisition process, leading to few accurate point-to-point correspondences. Since they rely on point-to-point ...
IEEE

A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends

Abstract: When data privacy is imposed as a necessity, Federated learning (FL) emerges as a relevant artificial intelligence field for developing machine learning (ML) models in a distributed and ...
IEEE

Multi-Scale end-to-End Learning for Point Cloud Geometry Compression

Abstract: As 3D scanning devices and depth sensors advance, point clouds have attracted increasing attention as a format for 3D representation. Nevertheless, the tremendous amount of data in point ...
Daily Mail

Harrison Butker's feminist critics say Chiefs kicker should 'learn to cook' after missing another extra point

Harrison Butker's latest miss was met with cheers from both Detroit Lions fans and the Kansas City Chiefs kicker's feminist critics. Given the chance to put Kansas City up 7-3 over Detroit in the ...
IEEE

Dual Branch Graph Representation Learning-Based Approach for Next Point-of-Interest Recommendation

Abstract: Next Point-of-Interest (POI) recommendation, a sub-task of POI recommendation, focuses on predicting the next POI a user will visit, relying on the user’s sequential check-in history. In ...
GitHub

java.lang.NullPointerException when trying to open remote file (could not open it)

I was trying to open a file in a remote host to see it locally and the exception occurs. The problem is systematic. I am using Netbeans 27 in Windows 11. Tried both JDK19 and JDK 24 and the porblem ...