IEEE

Deep Learning Neural Networks for 3D Point Clouds Shape Classification: A Survey

Abstract: Point clouds data acquisition is increasingly important over these years because of its wide applications such as autonomous driving, robotics, virtual reality, and medical treatment. Deep ...
Visual Studio Magazine

Microsoft's New Java & AI Video Series Helps Devs Get Started with GenAI

Microsoft introduced a new video series that teaches Java developers how to build generative AI applications using modern ...
IEEE

Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes

Abstract: Multi-instance point cloud registration estimates the poses of multiple instances of a model point cloud in a scene point cloud. Extracting accurate point correspondences is to the center of ...
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

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 ...
GitHub

Database system for AI-powered apps

EvaDB enables software developers to build AI apps in a few lines of code. Its powerful SQL API simplifies AI app development for both structured and unstructured data. EvaDB's benefits include: 🔮 ...
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

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

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 ...
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 ...
IEEE

Fairness-Based Energy-Efficient 3-D Path Planning of a Portable Access Point: A Deep Reinforcement Learning Approach

Abstract: In this work, we optimize the 3D trajectory of an unmanned aerial vehicle (UAV)-based portable access point (PAP) that provides wireless services to a set of ground nodes (GNs). Moreover, as ...