1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation
Shaoqing Xu, Fang Li, Peixiang Huang +2
Accurate multi-view 3D object detection is essential for applications such as autonomous driving. Researchers have consistently aimed to leverage LiDAR's precise spatial informatio…
cs.CV2024
GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving
Shaoqing Xu, Fang Li, Shengyin Jiang +3
Self-supervised learning has made substantial strides in image processing, while visual pre-training for autonomous driving is still in its infancy. Existing methods often focus on…
cs.CV2022★ 1 cited
Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection
Shaoqing Xu, Fang Li, Ziying Song +3
LiDAR and camera fusion techniques are promising for achieving 3D object detection in autonomous driving. Most multi-modal 3D object detection frameworks integrate semantic knowled…