| Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification | Oct 25, 2020 | 3D Point Cloud ClassificationGeneral Classification | —Unverified | 0 | 0 |
| CAP: Robust Point Cloud Classification via Semantic and Structural Modeling | Jan 1, 2023 | 3D Point Cloud ClassificationClassification | —Unverified | 0 | 0 |
| Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits | May 31, 2023 | 3D Point Cloud Classificationobject-detection | —Unverified | 0 | 0 |
| Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks | Mar 28, 2021 | 3D Classification3D Instance Segmentation | —Unverified | 0 | 0 |
| FFF: Fragment-Guided Flexible Fitting for Building Complete Protein Structures | Jan 1, 2023 | 3D Point Cloud ClassificationProtein Structure Prediction | —Unverified | 0 | 0 |
| Structural Relational Reasoning of Point Clouds | Jun 1, 2019 | 3D Part Segmentation3D Point Cloud Classification | —Unverified | 0 | 0 |
| Computation and Data Efficient Backdoor Attacks | Jan 1, 2023 | 3D Point Cloud ClassificationData Poisoning | —Unverified | 0 | 0 |
| PointManifold: Using Manifold Learning for Point Cloud Classification | Oct 14, 2020 | 3D Point Cloud ClassificationClassification | —Unverified | 0 | 0 |
| Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization | Nov 1, 2024 | 3D Classification3D Object Classification | —Unverified | 0 | 0 |
| Understanding Key Point Cloud Features for Development Three-dimensional Adversarial Attacks | Oct 19, 2022 | 3D Point Cloud ClassificationAutonomous Driving | —Unverified | 0 | 0 |
