IEEE

Local-to-Global Semantic Learning for Multi-View 3D Object Detection From Point Cloud

Abstract: LiDAR, as an excellent sensor, can provide positions, motion states, and other objective attribute information of objects in the 3D world. Inevitably, the inherent sparsity of point cloud ...
TechAnnouncer

Master Python Online for Free: Top Resources and Tools

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...
GitHub

TASTE-Rob: Advancing Video Generation of Task-Oriented Hand-Object Interaction for Generalizable Robotic Manipulation

We introduce TASTE-Rob: 1) a dataset with 100,856 task-oriented hand-object interaction videos, 2) a three-stage pose-refinement video generation pipeline. With the above contributions, TASTE-Rob is ...
IEEE

End-to-End 3D Object Detection Using LiDAR Point Cloud

Abstract: Significant progress has been made in the field of au-tonomous vehicles. Object detection and tracking are the primary tasks for any autonomous vehicle. The task of object detection in ...
TechAnnouncer

Master Python Programming with W3Schools: A Comprehensive Guide

If you’re looking for a place to start, W3Schools has a Python tutorial that’s pretty straightforward. It breaks things down ...
IEEE

WBF-ODAL: Weighted Boxes Fusion for 3D Object Detection from Automotive LiDAR Point Clouds

Abstract: The use of Convolutional Neural Networks (CNNs) is the state-of-the-art for 3D object detection from automotive/vehicle LiDAR point clouds. However, not all models perform uniformly well ...
IEEE

Occlusion-Aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition

Abstract: Recent open-world representation learning approaches have leveraged CLIP to enable zero-shot 3D object recognition. However, performance on real point clouds with occlusions still falls ...
IEEE

Cross-Modal Oriented Object Detection of UAV Aerial Images Based on Image Feature

Abstract: Arbitrary-oriented object detection is vital for improving unmanned aerial vehicle (UAV) sensing and has promising applications. However, challenges persist in detecting objects under ...
IEEE

PMHO: Point-Supervised Oriented Object Detection Based on Segmentation-Driven Proposal Generation

Oriented object detection has gained increasing attention due to its ability to detect objects with arbitrary orientations in the field of remote sensing (RS) images. However, the laborious task of ...
IEEE

PointRCNN++: Towards More Accurate Two-Stage 3D Object Detection from Point Cloud

Abstract: With significant potential in autonomous driving, and robotics, 3D object detection has garnered increasing attention among researchers. Leveraging its reliability in depth information, ...
IEEE

PillarID: Rethinking Backbone Network Designs for Pillar-Based 3D Object Detection in Infrastructure Point Cloud

Abstract: In recent years, vehicle-centric point cloud 3D object detection has been widely explored and effectively developed. However, due to differences in the placement of sensors, ...