{"total":21,"rows":[{"id":"2103.14635","title":"PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds","created":"2021-03-26","cited_by_count":211,"area":null},{"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":"2107.02389","title":"Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling","created":"2021-07-06","cited_by_count":51,"area":null},{"id":"2302.14673","title":"Attention-based Point Cloud Edge Sampling","created":"2023-02-28","cited_by_count":37,"area":null},{"id":"2110.10538","title":"ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning","created":"2021-10-20","cited_by_count":29,"area":null},{"id":"2203.13861","title":"FD-SLAM: 3-D Reconstruction Using Features and Dense Matching","created":"2022-03-25","cited_by_count":17,"area":null},{"id":"2203.16001","title":"Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds","created":"2022-03-30","cited_by_count":6,"area":null},{"id":"2205.15254","title":"Pooling Revisited: Your Receptive Field is Suboptimal","created":"2022-05-30","cited_by_count":6,"area":null},{"id":"2308.05314","title":"Deep Semantic Graph Matching for Large-scale Outdoor Point Clouds Registration","created":"2023-08-10","cited_by_count":5,"area":null},{"id":"2411.16773","title":"MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud Processing","created":"2024-11-25","cited_by_count":5,"area":null},{"id":"2101.07832","title":"The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions","created":"2021-01-19","cited_by_count":2,"area":null},{"id":"2311.16462","title":"Viewport Prediction for Volumetric Video Streaming by Exploring Video Saliency and Trajectory Information","created":"2023-11-28","cited_by_count":2,"area":null},{"id":"2305.14306","title":"Hierarchical Adaptive Voxel-guided Sampling for Real-time Applications in Large-scale Point Clouds","created":"2023-05-23","cited_by_count":1,"area":null},{"id":"2405.13989","title":"TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System","created":"2024-05-22","cited_by_count":1,"area":null},{"id":"2504.19581","title":"SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity","created":"2025-04-28","cited_by_count":1,"area":null},{"id":"2507.14454","title":"Adaptive 3D Gaussian Splatting Video Streaming: Visual Saliency-Aware Tiling and Meta-Learning-Based Bitrate Adaptation","created":"2025-07-19","cited_by_count":1,"area":null},{"id":"2109.11311","title":"Multi-resolution deep learning pipeline for dense large scale point clouds","created":"2021-09-23","cited_by_count":0,"area":null},{"id":"2112.00289","title":"Point Cloud Segmentation Using Sparse Temporal Local Attention","created":"2021-12-01","cited_by_count":0,"area":null},{"id":"2112.03777","title":"Variance-Aware Weight Initialization for Point Convolutional Neural Networks","created":"2021-12-07","cited_by_count":0,"area":null},{"id":"2210.08951","title":"Approximating Continuous Convolutions for Deep Network Compression","created":"2022-10-17","cited_by_count":0,"area":null},{"id":"2605.24243","title":"GIBLy: Improving 3D Semantic Segmentation through an Architecture-Agnostic Lightweight Geometric Inductive Bias Layer","created":"2026-05-22","cited_by_count":0,"area":null}],"next_cursor":null}