{"total":63,"rows":[{"id":"2103.04256","title":"Robust Point Cloud Registration Framework Based on Deep Graph Matching","created":"2021-03-07","cited_by_count":97,"area":null},{"id":"2203.14517","title":"REGTR: End-to-end Point Cloud Correspondences with Transformers","created":"2022-03-28","cited_by_count":96,"area":null},{"id":"2103.05056","title":"LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM","created":"2021-03-08","cited_by_count":67,"area":null},{"id":"2103.00937","title":"OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration","created":"2021-03-01","cited_by_count":51,"area":null},{"id":"2106.13679","title":"Shape registration in the time of transformers","created":"2021-06-25","cited_by_count":51,"area":null},{"id":"2207.05483","title":"CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence","created":"2022-07-12","cited_by_count":44,"area":null},{"id":"2405.07801","title":"Deep Learning-Based Object Pose Estimation: A Comprehensive Survey","created":"2024-05-13","cited_by_count":40,"area":null},{"id":"2207.08082","title":"CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement","created":"2022-07-17","cited_by_count":29,"area":null},{"id":"2107.10296","title":"Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations","created":"2021-07-21","cited_by_count":24,"area":null},{"id":"2112.09922","title":"Fast and Robust Registration of Partially Overlapping Point Clouds","created":"2021-12-18","cited_by_count":22,"area":null},{"id":"2202.11292","title":"Reliable Inlier Evaluation for Unsupervised Point Cloud Registration","created":"2022-02-23","cited_by_count":20,"area":null},{"id":"2106.03479","title":"FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration","created":"2021-06-07","cited_by_count":14,"area":null},{"id":"2206.11215","title":"Certifiable 3D Object Pose Estimation: Foundations, Learning Models, and Self-Training","created":"2022-06-22","cited_by_count":12,"area":null},{"id":"2307.09788","title":"Density-invariant Features for Distant Point Cloud Registration","created":"2023-07-19","cited_by_count":12,"area":null},{"id":"2201.10034","title":"Self-Supervised Point Cloud Registration with Deep Versatile Descriptors","created":"2022-01-25","cited_by_count":10,"area":null},{"id":"2211.02807","title":"KSS-ICP: Point Cloud Registration based on Kendall Shape Space","created":"2022-11-05","cited_by_count":10,"area":null},{"id":"2111.15606","title":"Robust Partial-to-Partial Point Cloud Registration in a Full Range","created":"2021-11-30","cited_by_count":9,"area":null},{"id":"2202.06263","title":"LighTN: Light-weight Transformer Network for Performance-overhead Tradeoff in Point Cloud Downsampling","created":"2022-02-13","cited_by_count":8,"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":"2208.02712","title":"UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration","created":"2022-08-04","cited_by_count":6,"area":null},{"id":"2504.09498","title":"EasyREG: Easy Depth-Based Markerless Registration and Tracking using Augmented Reality Device for Surgical Guidance","created":"2025-04-13","cited_by_count":6,"area":null},{"id":"2107.02583","title":"Point Cloud Registration using Representative Overlapping Points","created":"2021-07-06","cited_by_count":5,"area":null},{"id":"2203.02227","title":"Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration","created":"2022-03-04","cited_by_count":5,"area":null},{"id":"2205.11028","title":"RCP: Recurrent Closest Point for Scene Flow Estimation on 3D Point Clouds","created":"2022-05-23","cited_by_count":5,"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":"2202.10251","title":"PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling","created":"2022-02-21","cited_by_count":4,"area":null},{"id":"2208.01925","title":"SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud","created":"2022-08-03","cited_by_count":4,"area":null},{"id":"2311.01202","title":"Cross-Modal Information-Guided Network using Contrastive Learning for Point Cloud Registration","created":"2023-11-02","cited_by_count":4,"area":null},{"id":"2305.02893","title":"APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud Reconstruction","created":"2023-05-04","cited_by_count":3,"area":null},{"id":"2310.12646","title":"TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research","created":"2023-10-19","cited_by_count":3,"area":null},{"id":"2312.06063","title":"PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration","created":"2023-12-11","cited_by_count":3,"area":"diffusion"},{"id":"2403.16116","title":"Self-Supervised Multi-Frame Neural Scene Flow","created":"2024-03-24","cited_by_count":3,"area":null},{"id":"2411.10649","title":"Deep Loss Convexification for Learning Iterative Models","created":"2024-11-16","cited_by_count":3,"area":null},{"id":"2110.03016","title":"DeepBBS: Deep Best Buddies for Point Cloud Registration","created":"2021-10-06","cited_by_count":2,"area":null},{"id":"2308.09364","title":"Overlap Bias Matching is Necessary for Point Cloud Registration","created":"2023-08-18","cited_by_count":2,"area":null},{"id":"2309.15787","title":"Partial Transport for Point-Cloud Registration","created":"2023-09-27","cited_by_count":2,"area":null},{"id":"2112.07289","title":"Smoothness and effective regularizations in learned embeddings for shape matching","created":"2021-12-14","cited_by_count":1,"area":null},{"id":"2201.12094","title":"Leveraging Inlier Correspondences Proportion for Point Cloud Registration","created":"2022-01-28","cited_by_count":1,"area":null},{"id":"2210.05638","title":"APSNet: Attention Based Point Cloud Sampling","created":"2022-10-11","cited_by_count":1,"area":null},{"id":"2407.08729","title":"BiEquiFormer: Bi-Equivariant Representations for Global Point Cloud Registration","created":"2024-07-11","cited_by_count":1,"area":null},{"id":"2409.10499","title":"Partial Distribution Matching via Partial Wasserstein Adversarial Networks","created":"2024-09-16","cited_by_count":1,"area":null},{"id":"2504.21467","title":"Multiview Point Cloud Registration via Optimization in an Autoencoder Latent Space","created":"2025-04-30","cited_by_count":1,"area":null},{"id":"2508.02339","title":"Correspondence-Free Fast and Robust Spherical Point Pattern Registration","created":"2025-08-04","cited_by_count":1,"area":null},{"id":"2508.03179","title":"Advancing Precision in Multi-Point Cloud Fusion Environments","created":"2025-08-05","cited_by_count":1,"area":null},{"id":"2111.11783","title":"GenReg: Deep Generative Method for Fast Point Cloud Registration","created":"2021-11-23","cited_by_count":0,"area":null},{"id":"2202.02149","title":"3D Point Cloud Registration with Learning-based Matching Algorithm","created":"2022-02-04","cited_by_count":0,"area":null},{"id":"2203.12192","title":"Learning to Censor by Noisy Sampling","created":"2022-03-23","cited_by_count":0,"area":null},{"id":"2204.07719","title":"Stress-Testing Point Cloud Registration on Automotive LiDAR","created":"2022-04-16","cited_by_count":0,"area":null},{"id":"2206.05707","title":"DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration","created":"2022-06-12","cited_by_count":0,"area":null},{"id":"2207.06661","title":"Deep Point-to-Plane Registration by Efficient Backpropagation for Error Minimizing Function","created":"2022-07-14","cited_by_count":0,"area":null},{"id":"2211.01110","title":"AS-PD: An Arbitrary-Size Downsampling Framework for Point Clouds","created":"2022-11-02","cited_by_count":0,"area":null},{"id":"2211.04047","title":"DNN Filter for Bias Reduction in Distribution-to-Distribution Scan Matching","created":"2022-11-08","cited_by_count":0,"area":null},{"id":"2211.04696","title":"Robust Point Cloud Registration Framework Based on Deep Graph Matching(TPAMI Version)","created":"2022-11-09","cited_by_count":0,"area":null},{"id":"2211.16301","title":"Challenging the Universal Representation of Deep Models for 3D Point Cloud Registration","created":"2022-11-29","cited_by_count":0,"area":null},{"id":"2312.02877","title":"DIPR: Efficient Point Cloud Registration via Dynamic Iteration","created":"2023-12-05","cited_by_count":0,"area":null},{"id":"2506.10594","title":"Hierarchical Error Assessment of CAD Models for Aircraft Manufacturing-and-Measurement","created":"2025-06-12","cited_by_count":0,"area":null},{"id":"2507.20337","title":"PIVOTS: Aligning unseen Structures using Preoperative to Intraoperative Volume-To-Surface Registration for Liver Navigation","created":"2025-07-27","cited_by_count":0,"area":null},{"id":"2508.04286","title":"PKSS-Align: Robust Point Cloud Registration on Pre-Kendall Shape Space","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2509.24273","title":"Skeleton-based Robust Registration Framework for Corrupted 3D Point Clouds","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2512.12718","title":"Spinal Line Detection for Posture Evaluation through Train-ing-free 3D Human Body Reconstruction with 2D Depth Images","created":"2025-12-14","cited_by_count":0,"area":null},{"id":"2604.19596","title":"PC2Model: ISPRS benchmark on 3D point cloud to model registration","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2606.04291","title":"A Cookbook of 3D Vision: Data, Learning Paradigms, and Application","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2608.09993","title":"APCReg: Anatomical-Prior-Guided Coarse-to-Fine CBCT--IOS Registration via Multi-View Projection and Reliability-Controlled Residual Correction","created":"2026-08-07","cited_by_count":0,"area":null}],"next_cursor":null}