3 papers
cs.CV2025
ModelNet40-E: An Uncertainty-Aware Benchmark for Point Cloud Classification
Pedro Alonso, Tianrui Li, Chongshou Li
We introduce ModelNet40-E, a new benchmark designed to assess the robustness and calibration of point cloud classification models under synthetic LiDAR-like noise. Unlike existing…
cs.CV2025
LLM-Guided Taxonomy and Hierarchical Uncertainty for 3D Point Cloud Active Learning
Chenxi Li, Nuo Chen, Fengyun Tan +4
We present a novel active learning framework for 3D point cloud semantic segmentation that, for the first time, integrates large language models (LLMs) to construct hierarchical la…
cs.CV2025
Less is More: Efficient Point Cloud Reconstruction via Multi-Head Decoders
Pedro Alonso, Tianrui Li, Chongshou Li
We challenge the common assumption that deeper decoder architectures always yield better performance in point cloud reconstruction. Our analysis reveals that, beyond a certain dept…