2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CV2026★ 2 cited
Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud?
Chenqiang Gao, Chuandong Liu, Jun Shu +5
Current state-of-the-art (SOTA) 3D object detection methods often require a large amount of 3D bounding box annotations for training. However, collecting such large-scale densely-s…
cs.CV2025
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation
Chuandong Liu, Xingxing Weng, Shuguo Jiang +3
This paper explores scene affinity (AIScene), namely intra-scene consistency and inter-scene correlation, for semi-supervised LiDAR semantic segmentation in driving scenes. Adoptin…