{"total":30,"rows":[{"id":"2106.05304","title":"Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline","created":"2021-06-09","cited_by_count":145,"area":null},{"id":"2102.01929","title":"Regularization Strategy for Point Cloud via Rigidly Mixed Sample","created":"2021-02-03","cited_by_count":59,"area":null},{"id":"2203.03311","title":"Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis","created":"2022-03-07","cited_by_count":44,"area":null},{"id":"2108.06076","title":"PVT: Point-Voxel Transformer for Point Cloud Learning","created":"2021-08-13","cited_by_count":43,"area":null},{"id":"2111.00207","title":"PatchFormer: An Efficient Point Transformer with Patch Attention","created":"2021-10-30","cited_by_count":43,"area":null},{"id":"2311.02608","title":"Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook","created":"2023-11-05","cited_by_count":24,"area":null},{"id":"2111.08318","title":"DRINet++: Efficient Voxel-as-point Point Cloud Segmentation","created":"2021-11-16","cited_by_count":23,"area":null},{"id":"2108.04023","title":"DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation","created":"2021-08-09","cited_by_count":22,"area":null},{"id":"2204.07311","title":"MetaSets: Meta-Learning on Point Sets for Generalizable Representations","created":"2022-04-15","cited_by_count":22,"area":null},{"id":"2104.05706","title":"Towards Efficient Graph Convolutional Networks for Point Cloud Handling","created":"2021-04-12","cited_by_count":18,"area":null},{"id":"2102.12093","title":"PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features","created":"2021-02-24","cited_by_count":15,"area":null},{"id":"2307.16092","title":"Feature Transportation Improves Graph Neural Networks","created":"2023-07-29","cited_by_count":15,"area":null},{"id":"2112.00560","title":"Attribute Artifacts Removal for Geometry-based Point Cloud Compression","created":"2021-12-01","cited_by_count":13,"area":null},{"id":"2102.05973","title":"HyperPocket: Generative Point Cloud Completion","created":"2021-02-11","cited_by_count":12,"area":null},{"id":"2203.10912","title":"Depth Completion using Geometry-Aware Embedding","created":"2022-03-21","cited_by_count":12,"area":null},{"id":"2111.08799","title":"DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds","created":"2021-11-16","cited_by_count":10,"area":null},{"id":"2103.15226","title":"Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks","created":"2021-03-28","cited_by_count":9,"area":null},{"id":"2401.11074","title":"On The Temporal Domain of Differential Equation Inspired Graph Neural Networks","created":"2024-01-20","cited_by_count":9,"area":null},{"id":"2111.08973","title":"Generating Unrestricted 3D Adversarial Point Clouds","created":"2021-11-17","cited_by_count":2,"area":null},{"id":"2105.11016","title":"Revisiting 2D Convolutional Neural Networks for Graph-based Applications","created":"2021-05-23","cited_by_count":1,"area":null},{"id":"2106.10850","title":"Robust Pooling through the Data Mode","created":"2021-06-21","cited_by_count":1,"area":null},{"id":"2112.01714","title":"Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks","created":"2021-12-03","cited_by_count":1,"area":null},{"id":"2212.10390","title":"UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation Pipeline","created":"2022-12-20","cited_by_count":1,"area":null},{"id":"2305.07814","title":"Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance","created":"2023-05-13","cited_by_count":1,"area":null},{"id":"2103.03764","title":"A Convolutional Architecture for 3D Model Embedding","created":"2021-03-05","cited_by_count":0,"area":null},{"id":"2209.12770","title":"Shrinking unit: a Graph Convolution-Based Unit for CNN-like 3D Point Cloud Feature Extractors","created":"2022-09-26","cited_by_count":0,"area":null},{"id":"2211.07082","title":"Learning Latent Part-Whole Hierarchies for Point Clouds","created":"2022-11-14","cited_by_count":0,"area":null},{"id":"2303.00944","title":"Attention-based Graph Convolution Fusing Latent Structures and Multiple Features for Graph Neural Networks","created":"2023-03-02","cited_by_count":0,"area":null},{"id":"2303.17748","title":"MLGCN: An Ultra Efficient Graph Convolution Neural Model For 3D Point Cloud Analysis","created":"2023-03-31","cited_by_count":0,"area":null},{"id":"2506.06864","title":"Face recognition on point cloud with cgan-top for denoising","created":"2025-06-07","cited_by_count":0,"area":null}],"next_cursor":null}