IEEE

Self-Supervised Point Cloud Understanding via Mask Transformer and Contrastive Learning

Abstract: Self-supervised point cloud understanding can pre-train the point cloud learning network on a large dataset, which helps boost the performance of fine-tuning on other smaller datasets in ...
IEEE

PointRas: Uncertainty-Aware Multi-Resolution Learning for Point Cloud Segmentation

Abstract: In this paper, we propose an uncertainty-aware multi-resolution learning for point cloud segmentation, named PointRas. Most existing works for point cloud segmentation design encoder ...
IEEE

Using Multi-Level Consistency Learning for Partial-to-Partial Point Cloud Registration

Abstract: Point cloud registration is a basic task in computer vision and computer graphics. Recently, deep learning-based end-to-end methods have made great progress in this field. One of the ...
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

Matching Distance and Geometric Distribution Aided Learning Multiview Point Cloud Registration

Abstract: Multiview point cloud registration plays a crucial role in robotics, automation, and computer vision fields. This letter concentrates on pose graph construction and motion synchronization ...
IEEE

Learning Semantic-Aware Point-Line Features for Localization and Reconstruction

Abstract: High-precision image matching and localization technology in a 3D environment map is essential for many tasks, such as marine engineering detection, robotics, and autonomous navigation.
IEEE

Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation

Abstract: Point cloud is a popular and widely used geometric representation, which has attracted significant attention in 3D vision. However, the geometric variability of point cloud representations ...
IEEE

An Improved Distributed Maximum Power Point Tracking Technique in Photovoltaic Systems Based on Reinforcement Learning Algorithm

Abstract: The mismatch problem is commonly happened in photovoltaic systems due to partial shading conditions. Distributed maximum power point tracking architectures can be used to solve such problem.
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 ...