3 papers
cs.CV2025
Sparse3DPR: Training-Free 3D Hierarchical Scene Parsing and Task-Adaptive Subgraph Reasoning from Sparse RGB Views
Haida Feng, Hao Wei, Zewen Xu +3
Recently, large language models (LLMs) have been explored widely for 3D scene understanding. Among them, training-free approaches are gaining attention for their flexibility and ge…
cs.CV2025
MR-COSMO: Visual-Text Memory Recall and Direct CrOSs-MOdal Alignment Method for Query-Driven 3D Segmentation
Chade Li, Pengju Zhang, Yihong Wu
The rapid advancement of vision-language models (VLMs) in 3D domains has accelerated research in text-query-guided point cloud processing, though existing methods underperform in p…
cs.CV2024
Density-aware global-local attention network for point cloud segmentation
Chade Li, Pengju Zhang, Jiaming Zhang +1
3D point cloud segmentation has a wide range of applications in areas such as autonomous driving, augmented reality, virtual reality and digital twins. The point cloud data collect…