IEEE

JAVA Mobile Application Development Course Under the Framework of Industry-Education Integration: Practice of Deep Learning and Neural Network Integration

Abstract: The popularization of AI technology, yes the emerging technology represented by deep learning and neural network has gradually become an important tool for solving complex problems.
IEEE

Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud

Abstract: Graph convolutional neural networks can effectively process geometric data and thus have been successfully used in point cloud data representation. However, existing graph-based methods ...
IEEE

Knee-Point-Conscious Battery Aging Trajectory Prediction Based on Physics-Guided Machine Learning

Abstract: Early prediction of aging trajectories of lithium-ion (Li-ion) batteries is critical for cycle life testing, quality control, and battery health management. Although data-driven machine ...
IEEE

Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation

Abstract: Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction ...
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

Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer’s Disease

Abstract: Alzheimer’s disease (AD) is characterized by alterations of the brain’s structural and functional connectivity during its progressive degenerative processes. Existing auxiliary diagnostic ...
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 ...
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

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 ...