{"total":75,"rows":[{"id":"2111.14819","title":"Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling","created":"2021-11-29","cited_by_count":653,"area":null},{"id":"2203.06604","title":"Masked Autoencoders for Point Cloud Self-supervised Learning","created":"2022-03-13","cited_by_count":459,"area":null},{"id":"2203.00680","title":"CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding","created":"2022-03-01","cited_by_count":198,"area":null},{"id":"2309.00615","title":"Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following","created":"2023-09-01","cited_by_count":194,"area":null},{"id":"2305.10764","title":"OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding","created":"2023-05-18","cited_by_count":184,"area":null},{"id":"2212.06785","title":"Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders","created":"2022-12-13","cited_by_count":144,"area":null},{"id":"2212.08320","title":"Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?","created":"2022-12-16","cited_by_count":122,"area":"distill"},{"id":"2101.01461","title":"PointCutMix: Regularization Strategy for Point Cloud Classification","created":"2021-01-05","cited_by_count":69,"area":null},{"id":"2202.13589","title":"Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey","created":"2022-02-28","cited_by_count":54,"area":null},{"id":"2107.01886","title":"Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning","created":"2021-07-05","cited_by_count":52,"area":null},{"id":"2302.14007","title":"Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training","created":"2023-02-27","cited_by_count":52,"area":null},{"id":"2410.08114","title":"Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning","created":"2024-10-10","cited_by_count":43,"area":null},{"id":"2305.08808","title":"GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training","created":"2023-05-15","cited_by_count":38,"area":null},{"id":"2108.07794","title":"RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection","created":"2021-08-17","cited_by_count":37,"area":null},{"id":"2111.10990","title":"Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification","created":"2021-11-22","cited_by_count":36,"area":null},{"id":"2305.16404","title":"GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds","created":"2023-05-25","cited_by_count":34,"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":"2207.01545","title":"Masked Autoencoders in 3D Point Cloud Representation Learning","created":"2022-07-04","cited_by_count":30,"area":null},{"id":"2303.16570","title":"Point2Vec for Self-Supervised Representation Learning on Point Clouds","created":"2023-03-29","cited_by_count":28,"area":null},{"id":"2405.15463","title":"PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis","created":"2024-05-24","cited_by_count":26,"area":"ssm"},{"id":"2210.15291","title":"Isometric 3D Adversarial Examples in the Physical World","created":"2022-10-27","cited_by_count":25,"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":"2603.03283","title":"Utonia: Toward One Encoder for All Point Clouds","created":"2026-03-03","cited_by_count":21,"area":null},{"id":"2202.04241","title":"Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning","created":"2022-02-09","cited_by_count":19,"area":"distill"},{"id":"2308.09245","title":"Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos","created":"2023-08-18","cited_by_count":19,"area":null},{"id":"2203.14084","title":"3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds","created":"2022-03-26","cited_by_count":18,"area":null},{"id":"2209.10318","title":"Rethinking the compositionality of point clouds through regularization in the hyperbolic space","created":"2022-09-21","cited_by_count":18,"area":null},{"id":"2311.01734","title":"Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training","created":"2023-11-03","cited_by_count":18,"area":null},{"id":"2204.00989","title":"POS-BERT: Point Cloud One-Stage BERT Pre-Training","created":"2022-04-03","cited_by_count":16,"area":null},{"id":"2207.13326","title":"Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing","created":"2022-07-27","cited_by_count":16,"area":null},{"id":"2407.05862","title":"Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning","created":"2024-07-08","cited_by_count":16,"area":null},{"id":"2207.03111","title":"Masked Surfel Prediction for Self-Supervised Point Cloud Learning","created":"2022-07-07","cited_by_count":15,"area":null},{"id":"2409.00353","title":"RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning","created":"2024-08-31","cited_by_count":15,"area":null},{"id":"2305.05026","title":"Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding","created":"2023-05-08","cited_by_count":13,"area":null},{"id":"2112.05213","title":"Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning","created":"2021-12-09","cited_by_count":12,"area":null},{"id":"2407.13519","title":"GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding","created":"2024-07-18","cited_by_count":12,"area":null},{"id":"2403.11817","title":"HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation","created":"2024-03-18","cited_by_count":11,"area":"distill"},{"id":"2201.10034","title":"Self-Supervised Point Cloud Registration with Deep Versatile Descriptors","created":"2022-01-25","cited_by_count":10,"area":null},{"id":"2201.08215","title":"CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning","created":"2022-01-20","cited_by_count":9,"area":null},{"id":"2202.02543","title":"Unsupervised Point Cloud Pre-Training via Contrasting and Clustering","created":"2022-02-05","cited_by_count":9,"area":null},{"id":"2211.06841","title":"Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning","created":"2022-11-13","cited_by_count":9,"area":null},{"id":"2310.16861","title":"General Point Model with Autoencoding and Autoregressive","created":"2023-10-25","cited_by_count":9,"area":null},{"id":"2109.00452","title":"Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes","created":"2021-09-01","cited_by_count":8,"area":null},{"id":"2407.10200","title":"Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data","created":"2024-07-14","cited_by_count":8,"area":null},{"id":"2412.09055","title":"Hyperbolic-constraint Point Cloud Reconstruction from Single RGB-D Images","created":"2024-12-12","cited_by_count":8,"area":null},{"id":"2212.14197","title":"PointVST: Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation","created":"2022-12-29","cited_by_count":7,"area":null},{"id":"2210.02798","title":"Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding","created":"2022-10-06","cited_by_count":6,"area":null},{"id":"2310.03670","title":"Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning","created":"2023-09-25","cited_by_count":6,"area":null},{"id":"2401.02610","title":"DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning","created":"2024-01-05","cited_by_count":6,"area":null},{"id":"2404.14034","title":"PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer","created":"2024-04-22","cited_by_count":6,"area":null},{"id":"2407.14007","title":"Multi-modal Relation Distillation for Unified 3D Representation Learning","created":"2024-07-19","cited_by_count":6,"area":null},{"id":"2108.02104","title":"Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis","created":"2021-08-04","cited_by_count":5,"area":null},{"id":"2207.13226","title":"Boosting Point-BERT by Multi-choice Tokens","created":"2022-07-27","cited_by_count":5,"area":null},{"id":"2211.12032","title":"PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding","created":"2022-11-22","cited_by_count":5,"area":null},{"id":"2203.10768","title":"Upsampling Autoencoder for Self-Supervised Point Cloud Learning","created":"2022-03-21","cited_by_count":4,"area":null},{"id":"2205.12627","title":"Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives","created":"2022-05-25","cited_by_count":4,"area":null},{"id":"2312.16582","title":"Learnable Chamfer Distance for Point Cloud Reconstruction","created":"2023-12-27","cited_by_count":4,"area":null},{"id":"2201.03018","title":"Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement","created":"2022-01-09","cited_by_count":3,"area":null},{"id":"2306.02558","title":"Multi-View Representation is What You Need for Point-Cloud Pre-Training","created":"2023-06-05","cited_by_count":3,"area":null},{"id":"2404.10146","title":"Cross-Modal Self-Training: Aligning Images and Pointclouds to Learn Classification without Labels","created":"2024-04-15","cited_by_count":3,"area":"mllm"},{"id":"2203.06639","title":"Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound","created":"2022-03-13","cited_by_count":2,"area":null},{"id":"2211.01184","title":"Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds","created":"2022-11-02","cited_by_count":2,"area":null},{"id":"2311.16474","title":"Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds","created":"2023-11-27","cited_by_count":2,"area":null},{"id":"2508.08910","title":"Masked Clustering Prediction for Unsupervised Point Cloud Pre-training","created":"2025-08-12","cited_by_count":2,"area":null},{"id":"2110.06632","title":"Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data","created":"2021-10-13","cited_by_count":1,"area":null},{"id":"2302.14306","title":"CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping","created":"2023-02-28","cited_by_count":1,"area":null},{"id":"2410.09519","title":"Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence","created":"2024-10-12","cited_by_count":1,"area":null},{"id":"2505.13812","title":"Physics-Driven Local-Whole Elastic Deformation Modeling for Point Cloud Representation Learning","created":"2025-05-20","cited_by_count":1,"area":null},{"id":"2505.18819","title":"Parameter-Efficient CLIP Adaptation for 3D Understanding via Unified Tokenization","created":"2025-05-24","cited_by_count":1,"area":"mllm"},{"id":"2210.10626","title":"HAVANA: Hard negAtiVe sAmples aware self-supervised coNtrastive leArning for Airborne laser scanning point clouds semantic segmentation","created":"2022-10-19","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":"2309.13235","title":"M$^3$CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders","created":"2023-09-23","cited_by_count":0,"area":null},{"id":"2507.17533","title":"Multi-modal Multi-task Pre-training for Improved Point Cloud Understanding","created":"2025-07-23","cited_by_count":0,"area":null},{"id":"2509.22150","title":"Joint graph entropy knowledge distillation for point cloud classification and robustness against corruptions","created":"2025-09-26","cited_by_count":0,"area":"distill"},{"id":"2607.28581","title":"ROAD: Reciprocal-Objective Alignment of Discriminative Semantics for 3D Shape Generation","created":"2026-07-30","cited_by_count":0,"area":null}],"next_cursor":null}