IEEE

MLF3D: Multi-Level Fusion for Multi-Modal 3D Object Detection

Abstract: Recently, 3D object detection techniques based on the fusion of camera and LiDAR sensor modalities have received much attention due to their complementary capabilities. How-ever, prevalent ...
IEEE

SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar

Abstract: Conventional automotive radar has been extensively utilized in advanced driver assistance systems and autonomous driving, with potential applications in future cooperative perception systems ...
GitHub

DDet3D: Embracing 3D Object Detector with Diffusion

This is the official PyTorch implementation of the paper DDet3D: Embracing 3D Object Detector with Diffusion, by Gopi Krishna Erabati and Helder Araujo. Existing approaches rely on heuristic or ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Assembly Magazine

AI-Driven Robotic Assembly System Builds Objects Based on Verbal Input

Engineers at the Massachusetts Institute of Technology have developed an AI-driven robotic assembly system lets users build ...
GitHub

TSP3D: Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding

This repo contains the official PyTorch implementation for paper Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding. Look here for 中文解读. conda create -n TSP3D python=3.9 conda activate ...