3 papers
cs.CV2026
Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness
Pedro Alonso, Chongshou Li, Tianrui Li
Despite extensive progress in point cloud robustness, existing methods primarily rely on augmentation strategies or defense mechanisms while overlooking the geometric nature of adv…
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
GeoCD: A Differential Local Approximation for Geodesic Chamfer Distance
Pedro Alonso, Tianrui Li, Chongshou Li
Chamfer Distance (CD) is a widely adopted metric in 3D point cloud learning due to its simplicity and efficiency. However, it suffers from a fundamental limitation: it relies solel…