{"total":94,"rows":[{"id":"2312.10035","title":"Point Transformer V3: Simpler, Faster, Stronger","created":"2023-12-15","cited_by_count":589,"area":null},{"id":"2210.03105","title":"Mask3D: Mask Transformer for 3D Semantic Instance Segmentation","created":"2022-10-06","cited_by_count":303,"area":null},{"id":"2304.06906","title":"Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding","created":"2023-04-14","cited_by_count":113,"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":"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":"2301.08739","title":"FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer","created":"2023-01-20","cited_by_count":73,"area":null},{"id":"2206.10555","title":"LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs","created":"2022-06-21","cited_by_count":72,"area":null},{"id":"2212.03010","title":"GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds","created":"2022-12-06","cited_by_count":57,"area":null},{"id":"2306.08045","title":"Efficient 3D Semantic Segmentation with Superpoint Transformer","created":"2023-06-13","cited_by_count":57,"area":null},{"id":"2209.13232","title":"A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective","created":"2022-09-27","cited_by_count":56,"area":null},{"id":"2301.10100","title":"Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation","created":"2023-01-24","cited_by_count":53,"area":null},{"id":"2309.01692","title":"Mask-Attention-Free Transformer for 3D Instance Segmentation","created":"2023-09-04","cited_by_count":46,"area":null},{"id":"2403.14418","title":"OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation","created":"2024-03-21","cited_by_count":44,"area":null},{"id":"2303.12621","title":"OcTr: Octree-based Transformer for 3D Object Detection","created":"2023-03-22","cited_by_count":32,"area":null},{"id":"2205.07417","title":"Transformers in 3D Point Clouds: A Survey","created":"2022-05-16","cited_by_count":31,"area":null},{"id":"2208.02879","title":"PointConvFormer: Revenge of the Point-based Convolution","created":"2022-08-04","cited_by_count":30,"area":null},{"id":"2211.12542","title":"CASSPR: Cross Attention Single Scan Place Recognition","created":"2022-11-22","cited_by_count":22,"area":null},{"id":"2203.01536","title":"Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work","created":"2022-03-03","cited_by_count":21,"area":null},{"id":"2208.04309","title":"3D Vision with Transformers: A Survey","created":"2022-08-08","cited_by_count":21,"area":null},{"id":"2305.06621","title":"PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer","created":"2023-05-11","cited_by_count":21,"area":null},{"id":"2405.15214","title":"PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning","created":"2024-05-24","cited_by_count":21,"area":null},{"id":"2410.22489","title":"Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation","created":"2024-10-29","cited_by_count":20,"area":null},{"id":"2208.11537","title":"PeRFception: Perception using Radiance Fields","created":"2022-08-24","cited_by_count":19,"area":null},{"id":"2303.04599","title":"Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space","created":"2023-03-08","cited_by_count":19,"area":null},{"id":"2403.00592","title":"Rethinking Few-shot 3D Point Cloud Semantic Segmentation","created":"2024-03-01","cited_by_count":18,"area":null},{"id":"2512.13689","title":"LitePT: Lighter Yet Stronger Point Transformer","created":"2025-12-15","cited_by_count":17,"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":"2405.13194","title":"KPConvX: Modernizing Kernel Point Convolution with Kernel Attention","created":"2024-05-21","cited_by_count":16,"area":null},{"id":"2209.08263","title":"Scalable SoftGroup for 3D Instance Segmentation on Point Clouds","created":"2022-09-17","cited_by_count":15,"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":"2308.16532","title":"Decoupled Local Aggregation for Point Cloud Learning","created":"2023-08-31","cited_by_count":12,"area":null},{"id":"2209.07105","title":"Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis","created":"2022-09-15","cited_by_count":11,"area":null},{"id":"2403.17410","title":"On permutation-invariant neural networks","created":"2024-03-26","cited_by_count":10,"area":null},{"id":"2309.07471","title":"EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization","created":"2023-09-14","cited_by_count":9,"area":null},{"id":"2309.16435","title":"Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds","created":"2023-09-28","cited_by_count":9,"area":null},{"id":"2312.03026","title":"Uni3DL: Unified Model for 3D and Language Understanding","created":"2023-12-05","cited_by_count":9,"area":null},{"id":"2303.14376","title":"ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding","created":"2023-03-25","cited_by_count":8,"area":null},{"id":"2302.05201","title":"PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis","created":"2023-02-10","cited_by_count":7,"area":null},{"id":"2403.01129","title":"Dynamic 3D Point Cloud Sequences as 2D Videos","created":"2024-03-02","cited_by_count":7,"area":null},{"id":"2410.13924","title":"ARKit LabelMaker: A New Scale for Indoor 3D Scene Understanding","created":"2024-10-17","cited_by_count":7,"area":null},{"id":"2502.16303","title":"Pointmap Association and Piecewise-Plane Constraint for Consistent and Compact 3D Gaussian Segmentation Field","created":"2025-02-22","cited_by_count":7,"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":"2311.17491","title":"Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation","created":"2023-11-29","cited_by_count":6,"area":null},{"id":"2402.14215","title":"Swin3D++: Effective Multi-Source Pretraining for 3D Indoor Scene Understanding","created":"2024-02-22","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":"2503.12539","title":"BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis","created":"2025-03-16","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":"2404.00979","title":"PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation","created":"2024-04-01","cited_by_count":4,"area":null},{"id":"2502.04111","title":"Adaptive Margin Contrastive Learning for Ambiguity-aware 3D Semantic Segmentation","created":"2025-02-06","cited_by_count":4,"area":null},{"id":"2210.03296","title":"GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene Flow","created":"2022-10-07","cited_by_count":3,"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":"2305.15213","title":"GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation","created":"2023-05-24","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":"2401.11718","title":"MsSVT++: Mixed-scale Sparse Voxel Transformer with Center Voting for 3D Object Detection","created":"2024-01-22","cited_by_count":3,"area":null},{"id":"2404.06044","title":"Object Dynamics Modeling with Hierarchical Point Cloud-based Representations","created":"2024-04-09","cited_by_count":3,"area":null},{"id":"2404.11156","title":"Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform","created":"2024-04-17","cited_by_count":3,"area":null},{"id":"2412.11540","title":"SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer","created":"2024-12-16","cited_by_count":3,"area":null},{"id":"2509.11097","title":"3DAeroRelief: The first 3D Benchmark UAV Dataset for Post-Disaster Assessment","created":"2025-09-14","cited_by_count":3,"area":null},{"id":"2209.14602","title":"Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings","created":"2022-09-29","cited_by_count":2,"area":null},{"id":"2302.09907","title":"General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment","created":"2023-02-20","cited_by_count":2,"area":null},{"id":"2303.00086","title":"Applying Plain Transformers to Real-World Point Clouds","created":"2023-02-28","cited_by_count":2,"area":null},{"id":"2407.00921","title":"PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis","created":"2024-07-01","cited_by_count":2,"area":null},{"id":"2507.03441","title":"Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds","created":"2025-07-04","cited_by_count":2,"area":null},{"id":"2507.13378","title":"A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects","created":"2025-07-15","cited_by_count":2,"area":null},{"id":"2604.20395","title":"SpaCeFormer: Fast Proposal-Free Open-Vocabulary 3D Instance Segmentation","created":"2026-04-22","cited_by_count":2,"area":null},{"id":"2303.08274","title":"GeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue","created":"2023-03-14","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":"2311.06054","title":"Refining the ONCE Benchmark with Hyperparameter Tuning","created":"2023-11-10","cited_by_count":1,"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":"2403.05896","title":"Fast Kernel Scene Flow","created":"2024-03-09","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":"2507.06592","title":"Ambiguity-aware Point Cloud Segmentation by Adaptive Margin Contrastive Learning","created":"2025-07-09","cited_by_count":1,"area":null},{"id":"2508.05531","title":"Point cloud segmentation for 3D Clothed Human Layering","created":"2025-08-07","cited_by_count":1,"area":null},{"id":"2512.24593","title":"3D Semantic Segmentation for Post-Disaster Assessment","created":"2025-12-31","cited_by_count":1,"area":null},{"id":"2602.12740","title":"SPRig: Self-Supervised Pose-Invariant Rigging from Mesh Sequences","created":"2026-02-13","cited_by_count":1,"area":null},{"id":"2208.03791","title":"Global Hierarchical Attention for 3D Point Cloud Analysis","created":"2022-08-07","cited_by_count":0,"area":null},{"id":"2211.10888","title":"Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis","created":"2022-11-20","cited_by_count":0,"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":"2303.17815","title":"APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding","created":"2023-03-31","cited_by_count":0,"area":null},{"id":"2310.02083","title":"Point Neighborhood Embeddings","created":"2023-10-03","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":"2412.00489","title":"Density-aware global-local attention network for point cloud segmentation","created":"2024-11-30","cited_by_count":0,"area":null},{"id":"2506.00475","title":"BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation","created":"2025-05-31","cited_by_count":0,"area":null},{"id":"2507.06618","title":"PointVDP: Learning View-Dependent Projection by Fireworks Rays for 3D Point Cloud Segmentation","created":"2025-07-09","cited_by_count":0,"area":null},{"id":"2508.04962","title":"Open-world Point Cloud Semantic Segmentation: A Human-in-the-loop Framework","created":"2025-08-07","cited_by_count":0,"area":null},{"id":"2509.16639","title":"Unlocking Hidden Potential in Point Cloud Networks with Attention-Guided Grouping-Feature Coordination","created":"2025-09-20","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":"2605.15923","title":"Invaria: Learning Scale and Density Invariance in Point Clouds via Next-Resolution Prediction","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2605.17197","title":"OPTNet: Ordering Point Transformer Network for Post-disaster 3D Semantic Segmentation","created":"2026-05-16","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},{"id":"2605.31177","title":"Vanilla ViT for Automotive Point Cloud Semantic Segmentation","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2609.28360","title":"Privacy-Preserving Semantic Segmentation from High-Resolution Depth and Ultra-Low-Resolution RGB","created":"2026-09-23","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}