IEEE

HFCI-PU: High-Frequency Compensation Interpolation Network for Point Cloud Upsampling

Abstract: Point cloud upsampling (PCU) aims to transform sparse and unevenly distributed point clouds into dense and uniform counterparts with intricate geometric details of real-world objects.
IEEE

Multiprototype Relational Network for Few-Shot ALS Point Cloud Semantic Segmentation by Transferring Knowledge From Photogrammetric Point Clouds

Abstract: Existing airborne laser scanning (ALS) point cloud semantic segmentation approaches are limited by their overreliances on sufficient point-wise annotations that further confine their ...
Business Standard

Computer Point reports standalone net loss of Rs 0.14 crore in the December 2025 quarter

Reported sales nil Reported sales nil Net loss of Computer Point reported to Rs 0.14 crore in the quarter ended December 2025 as against net profit of Rs 0.02 crore during the previous quarter ended ...
IEEE

FGCNet: Face Geometry-Constrained Network for Face Point Cloud Completion

Abstract: Raw face point clouds obtained from scanning are often incomplete, resulting in a loss of structural details and posing challenges for many tasks, such as facial surgery navigation, face ...
IEEE

Sparse Representation based Deep Residual Geometry Compression Network for Large-scale Point Clouds

Abstract: The increasing applications of 3D point clouds require efficient compression techniques to achieve high-quality and low-delay services. However, the computational efficiency and ...
IEEE

Public Services Point Network Design for Local Government

Abstract: The development of information and communication technology (ICT) in Indonesia is growing rapidly. This can be seen by the many applications and implementation of ICT in public organizations ...
IEEE

Local-to-Global Perception Network for Point Cloud Segmentation

Abstract: LiDAR-based point cloud segmentation is a significant and challenging task for 3D scene understanding. Recent voxel-based methods are often built on submanifold sparse residual calculation ...
IEEE

GLORN: Strong Generalization Fully Convolutional Network for Low-Overlap Point Cloud Registration

Abstract: Existing point cloud registration models suffer from large performance loss in low-overlap scenarios, while the generalization ability of most models are weak. In this article, we design a ...
IEEE

Elemental Composite Prototypical Network: Few-Shot Object Detection on Outdoor 3D Point Cloud Scenes

Abstract: This paper introduces the Elemental Composite Prototypical Network (ECPN), a novel approach to few-shot learning (FSL) in outdoor 3D point cloud object detection. Such point clouds are ...
IEEE

LSTM Network Assisted Construction of the Angle-Dependent Point Spread Function and Its Applications in Seismic Imaging

Abstract: Migration is the core link in reflection seismic exploration. Seismic images are often extended into angle domain for interpretations. However, affected by limited acquisition aperture and ...
IEEE

OST: Efficient One-Stream Network for 3D Single Object Tracking in Point Clouds

Abstract: Although recent Siamese network-based trackers have achieved impressive perceptual accuracy for single object tracking in LiDAR point clouds, they usually utilized heavy correlation ...
IEEE

CRNet: Cross-Reconstruction Network for Inconsistent Point Cloud Registration

Abstract: Deep learning methods have made significant advancements in point cloud registration, achieving excellent performance on consistent point clouds. However, these methods face challenges when ...