IEEE

Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words

Abstract: Shape-Text matching is an important task of high-level shape understanding. Current methods mainly represent a 3D shape as multiple 2D rendered views, which obviously can not be understood ...
IEEE

GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning

Abstract: Self-supervised learning of point cloud aims to leverage unlabeled 3D data to learn meaningful representations without reliance on manual annotations. However, current approaches face ...
IEEE

Clutter Detection in Automotive Radar Point Clouds Based on Deep Learning with Self-attention

Abstract: As radar can directly provide the velocity of the targets in autonomous driving and is known for the robustness against adverse weather conditions, it plays an important role in contrast to ...
IEEE

SiT-MLP: A Simple MLP With Point-Wise Topology Feature Learning for Skeleton-Based Action Recognition

Abstract: Graph convolution networks (GCNs) have achieved remarkable performance in skeleton-based action recognition. However, previous GCN-based methods rely on elaborate human priors excessively ...
IEEE

Implementation of Cascade Learning using Apache Spark

Abstract: With the exponential growth of data, many technologies have also been developed to cope with the need to process such big dataset and generate meaningful information out of those dataset. To ...
grantcountybeat

What Does “Gila Apache” Mean When the Records Point South? II

This essay is part of the ongoing “What Does ‘Gila Apache’ Mean?” series. Out in the community I’m hearing these same words repeated. My family is from the Gila. We’re Mogollon Apache. We’re Mimbreños ...
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

Sonata: Self-Supervised Learning of Reliable Point Representations

Abstract: In this paper, we question whether we have a reliable self-supervised point cloud model that can be used for diverse 3D tasks via simple linear probing, even with limited data and minimal ...
IEEE

PV-PASBLS: A Multimodal Point-View Fusion Model Based on Parameter Adaptive Stacked Broad Learning System for 3-D Shape Recognition

Abstract: Most existing multimodal point-view fusion models for 3-D shape recognition typically improve recognition accuracy through complex feature fusion mechanisms. However, these mechanisms ...
IEEE

AUV Path Planning and Object Tracking Algorithm Based on Reinforcement Learning Under Point Cloud Observation

Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...
IEEE

Transformer-Based Sinhala Java Programming Learning Tool

Abstract: Programming is a fundamental aspect of computer science, yet it presents significant language challenges for non-native English-speaking students. This study focuses on developing a Java ...