{"total":33,"rows":[{"id":"2312.10035","title":"Point Transformer V3: Simpler, Faster, Stronger","created":"2023-12-15","cited_by_count":589,"area":null},{"id":"2210.05666","title":"Point Transformer V2: Grouped Vector Attention and Partition-based Pooling","created":"2022-10-11","cited_by_count":388,"area":null},{"id":"2203.14508","title":"Stratified Transformer for 3D Point Cloud Segmentation","created":"2022-03-28","cited_by_count":167,"area":null},{"id":"2503.16429","title":"Sonata: Self-Supervised Learning of Reliable Point Representations","created":"2025-03-20","cited_by_count":110,"area":null},{"id":"2305.03045","title":"OctFormer: Octree-based Transformers for 3D Point Clouds","created":"2023-05-04","cited_by_count":109,"area":null},{"id":"2112.04702","title":"Fast Point Transformer","created":"2021-12-09","cited_by_count":104,"area":null},{"id":"2308.09718","title":"Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training","created":"2023-08-18","cited_by_count":86,"area":null},{"id":"2204.07548","title":"Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation","created":"2022-04-15","cited_by_count":47,"area":null},{"id":"2107.14724","title":"Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation","created":"2021-07-30","cited_by_count":46,"area":null},{"id":"2104.04687","title":"Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining","created":"2021-04-10","cited_by_count":33,"area":null},{"id":"2103.05423","title":"Deep Learning Based 3D Segmentation: A Survey","created":"2021-03-09","cited_by_count":30,"area":null},{"id":"2208.02879","title":"PointConvFormer: Revenge of the Point-based Convolution","created":"2022-08-04","cited_by_count":30,"area":null},{"id":"2207.11209","title":"Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization","created":"2022-07-22","cited_by_count":26,"area":null},{"id":"2312.11112","title":"ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding","created":"2023-12-18","cited_by_count":16,"area":null},{"id":"2403.15173","title":"LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels","created":"2024-03-22","cited_by_count":15,"area":null},{"id":"2311.01989","title":"Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation","created":"2023-11-03","cited_by_count":7,"area":null},{"id":"2211.14091","title":"Language-Assisted 3D Feature Learning for Semantic Scene Understanding","created":"2022-11-25","cited_by_count":6,"area":null},{"id":"2308.04702","title":"Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network","created":"2023-08-09","cited_by_count":6,"area":null},{"id":"2308.09314","title":"Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation","created":"2023-08-18","cited_by_count":6,"area":null},{"id":"2303.04458","title":"Full Point Encoding for Local Feature Aggregation in 3D Point Clouds","created":"2023-03-08","cited_by_count":5,"area":null},{"id":"2504.16315","title":"SignX: Continuous Sign Recognition in Compact Pose-Rich Latent Space","created":"2025-04-22","cited_by_count":4,"area":null},{"id":"2107.01579","title":"Similarity-Aware Fusion Network for 3D Semantic Segmentation","created":"2021-07-04","cited_by_count":3,"area":null},{"id":"2212.06682","title":"Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation","created":"2022-12-13","cited_by_count":3,"area":null},{"id":"2107.13824","title":"VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation","created":"2021-07-29","cited_by_count":2,"area":null},{"id":"2411.13251","title":"BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation","created":"2024-11-20","cited_by_count":1,"area":null},{"id":"2503.05127","title":"HexPlane Representation for 3D Semantic Scene Understanding","created":"2025-03-07","cited_by_count":1,"area":null},{"id":"2506.22593","title":"Pixels-to-Graph: Real-time Integration of Building Information Models and Scene Graphs for Semantic-Geometric Human-Robot Understanding","created":"2025-06-27","cited_by_count":1,"area":null},{"id":"2605.10706","title":"RelFlexformer: Efficient Attention 3D-Transformers for Integrable Relative Positional Encodings","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2301.06962","title":"Long Range Pooling for 3D Large-Scale Scene Understanding","created":"2023-01-17","cited_by_count":0,"area":null},{"id":"2403.14124","title":"Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling","created":"2024-03-21","cited_by_count":0,"area":null},{"id":"2409.13325","title":"Towards Semi-supervised Dual-modal Semantic Segmentation","created":"2024-09-20","cited_by_count":0,"area":null},{"id":"2601.03510","title":"G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation","created":"2026-01-07","cited_by_count":0,"area":null},{"id":"2610.13568","title":"Rationally Linearized MLPs","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}