IEEE

Heterogeneous Spatio-Temporal Graph Contrastive Learning for Point-of-Interest Recommendation

Abstract: As one of the most crucial topics in the recommendation system field, point-of-interest (POI) recommendation aims to recommending potential interesting POIs to users. Recently, graph neural ...
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 ...
IEEE

A Content-Adaptive Hierarchical Deep Learning Model for Detecting Arbitrary-Oriented Road Surface Elements Using MLS Point Clouds

Abstract: Accurate and automatic detection of road surface element (such as road marking or manhole cover) information is the basis and key to many applications. To efficiently obtain the information ...
IEEE

Density-Imbalance-Eased LiDAR Point Cloud Upsampling via Feature Consistency Learning

Abstract: 3D point-cloud upsampling, a crucial perceptual module to help us understand the complex scene and object, aims to generate a high-resolution point cloud given a sparse point set. While ...
IEEE

Deep Learning-Based Semantic Segmentation and Surface Reconstruction for Point Clouds of Offshore Oil Production Equipment

Abstract: The structural information of offshore oil production equipment is the basis for the functional modification and upgrading of offshore oil drilling platforms. In order to solve the problems ...
ADTmag

Oracle Uses JavaOne to Position Java for AI-Era Development

Oracle uses JavaOne 2026 to launch JDK 26 and argue that Java can stay relevant in the AI era by building on its traditional strengths in performance, language evolution, and enterprise stability.
IEEE

Cascade Graph Neural Networks for Few-Shot Learning on Point Clouds

Abstract: Point cloud data, a flexible 3D object representation, is critical for various applications such as autonomous driving, robotics and remote sensing. Despite the recent success of deep neural ...
IEEE

Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided Surgery

Abstract: Point cloud registration aligns 3D point clouds using spatial transformations. It is an important task in computer vision, with applications in areas such as augmented reality (AR) and ...
IEEE

Point-MPP: Point Cloud Self-Supervised Learning From Masked Position Prediction

Abstract: Masked autoencoding has gained momentum for improving fine-tuning performance in many downstream tasks. However, it tends to focus on low-level reconstruction details, lacking high-level ...
IEEE

LLM-Guided Cross-Modal Point Cloud Quality Assessment: A Graph Learning Approach

Abstract: This paper addresses the critical need for accurate and reliable point cloud quality assessment (PCQA) in various applications, such as autonomous driving, robotics, virtual reality, and 3D ...
GitHub

See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation

Zero-shot language-guided UAV control. See, Point, Fly (SPF) enables UAVs to navigate to any goal based on free-form natural language instructions in any environment, without task-specific training.
IEEE

Online Network DoS/DDoS Detection: Sampling, Change Point Detection, and Machine Learning Methods

Abstract: Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks continue to pose significant threats to networked systems, causing disruptions that can lead to substantial financial ...