{"total":27,"rows":[{"id":"2301.08739","title":"FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer","created":"2023-01-20","cited_by_count":73,"area":null},{"id":"2111.11187","title":"PointMixer: MLP-Mixer for Point Cloud Understanding","created":"2021-11-22","cited_by_count":71,"area":null},{"id":"2211.14462","title":"Meta Architecture for Point Cloud Analysis","created":"2022-11-26","cited_by_count":40,"area":null},{"id":"2205.10528","title":"PointVector: A Vector Representation In Point Cloud Analysis","created":"2022-05-21","cited_by_count":21,"area":null},{"id":"2507.20065","title":"Geometric Operator Learning with Optimal Transport","created":"2025-07-26","cited_by_count":16,"area":null},{"id":"2503.17400","title":"TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks","created":"2025-03-19","cited_by_count":14,"area":null},{"id":"2303.13097","title":"CP$^3$: Channel Pruning Plug-in for Point-based Networks","created":"2023-03-23","cited_by_count":10,"area":null},{"id":"2208.00874","title":"S$^2$Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning","created":"2022-08-01","cited_by_count":8,"area":null},{"id":"2208.12259","title":"Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding","created":"2022-08-25","cited_by_count":6,"area":null},{"id":"2312.13071","title":"Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis","created":"2023-12-20","cited_by_count":6,"area":null},{"id":"2203.07738","title":"GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning","created":"2022-03-15","cited_by_count":5,"area":null},{"id":"2207.11889","title":"Salient Object Detection for Point Clouds","created":"2022-07-25","cited_by_count":5,"area":null},{"id":"2401.11650","title":"PointGL: A Simple Global-Local Framework for Efficient Point Cloud Analysis","created":"2024-01-22","cited_by_count":5,"area":null},{"id":"2306.01257","title":"Collect-and-Distribute Transformer for 3D Point Cloud Analysis","created":"2023-06-02","cited_by_count":4,"area":null},{"id":"2410.19573","title":"FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation","created":"2024-10-25","cited_by_count":4,"area":null},{"id":"2301.06869","title":"SAT: Size-Aware Transformer for 3D Point Cloud Semantic Segmentation","created":"2023-01-17","cited_by_count":3,"area":null},{"id":"2310.07743","title":"PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation","created":"2023-10-11","cited_by_count":3,"area":null},{"id":"2509.24886","title":"Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks","created":"2025-09-29","cited_by_count":3,"area":null},{"id":"2303.10585","title":"Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets","created":"2023-03-19","cited_by_count":2,"area":null},{"id":"2407.19294","title":"Rethinking Attention Module Design for Point Cloud Analysis","created":"2024-07-27","cited_by_count":2,"area":null},{"id":"2402.17521","title":"AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding","created":"2024-02-27","cited_by_count":1,"area":null},{"id":"2403.14115","title":"Training point-based deep learning networks for forest segmentation with synthetic data","created":"2024-03-21","cited_by_count":1,"area":null},{"id":"2507.23480","title":"FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction","created":"2025-07-31","cited_by_count":1,"area":null},{"id":"2210.15933","title":"PSFormer: Point Transformer for 3D Salient Object Detection","created":"2022-10-28","cited_by_count":0,"area":null},{"id":"2603.04099","title":"Efficient Point Cloud Processing with High-Dimensional Positional Encoding and Non-Local MLPs","created":"2026-03-04","cited_by_count":0,"area":null},{"id":"2607.16007","title":"Beyond Unfolding: 60x Faster One-Stage Unmixing for Closely-Spaced Infrared Small Targets","created":"2026-07-17","cited_by_count":0,"area":null},{"id":"2609.31765","title":"HGPTrans: Hierarchical Graph-Pooling Transolver for Automotive Aerodynamic Drag Coefficient Prediction","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}