| Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification | Oct 25, 2020 | 3D Point Cloud ClassificationGeneral Classification | —Unverified | 0 |
| Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification | Aug 18, 2022 | 3D Point Cloud ClassificationClassification | —Unverified | 0 |
| Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits | May 31, 2023 | 3D Point Cloud Classificationobject-detection | —Unverified | 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 |
| FFF: Fragment-Guided Flexible Fitting for Building Complete Protein Structures | Jan 1, 2023 | 3D Point Cloud ClassificationProtein Structure Prediction | —Unverified | 0 |
| Structural Relational Reasoning of Point Clouds | Jun 1, 2019 | 3D Part Segmentation3D Point Cloud Classification | —Unverified | 0 |
| Computation and Data Efficient Backdoor Attacks | Jan 1, 2023 | 3D Point Cloud ClassificationData Poisoning | —Unverified | 0 |
| Rethinking Gradient-based Adversarial Attacks on Point Cloud Classification | May 28, 2025 | 3D Point Cloud ClassificationPoint Cloud Classification | —Unverified | 0 |
| Adaptive Graph Convolution for Point Cloud Analysis | Aug 18, 2021 | 3D Point Cloud ClassificationPoint Cloud Classification | CodeCode Available | 0 |
| Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning | Jun 26, 2025 | 3D Point Cloud ClassificationRepresentation Learning | CodeCode Available | 0 |
