Fully-Geometric Cross-Attention for Point Cloud Registration | Paper Citation Record

Observation fa032eae-73d4-46bf-b15e-35f1eb80d7e5 · outbound

This paper cites Spinnet: Learning a general surface descrip- tor for 3d point cloud registration.

Fully-Geometric Cross-Attention for Point Cloud Registration Spinnet: Learning a general surface descrip- tor for 3d point cloud registration

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:20.081773Z

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Observation 585ede96-0a23-4073-bf98-49dc4a243ad4 · outbound

This paper cites Pointnetlk: Robust & efficient point cloud registration using pointnet.

Fully-Geometric Cross-Attention for Point Cloud Registration Pointnetlk: Robust & efficient point cloud registration using pointnet

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:20.070792Z

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Observation 5ab9c88f-5e98-44f1-bb56-b6d4b0693f24 · outbound

This paper cites D3feat: Joint learning of dense de- tection and description of 3d local features.

Fully-Geometric Cross-Attention for Point Cloud Registration D3feat: Joint learning of dense de- tection and description of 3d local features

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:20.060560Z

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Observation 0999c815-d39c-4af1-adb8-8c97ba659e6d · outbound

This paper cites Pointdsc: Robust point cloud registra- tion using deep spatial consistency.

Fully-Geometric Cross-Attention for Point Cloud Registration Pointdsc: Robust point cloud registra- tion using deep spatial consistency

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:20.044328Z

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Observation e118050c-9b57-4fd0-898c-31560fd6f06b · outbound

This paper cites Point cloud registration: a mini-review of current state, challenging is- sues and future directions.AIMS Geosciences, 9(1):68–85,.

Fully-Geometric Cross-Attention for Point Cloud Registration Point cloud registration: a mini-review of current state, challenging is- sues and future directions.AIMS Geosciences, 9(1):68–85,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:20.030203Z

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Observation 1e1fc48f-9ab4-4cb9-bd09-f8e88508a063 · outbound

This paper cites 3d shape knowledge graph for cross-domain 3d shape retrieval.CAAI Transactions on Intelligence Tech- nology, 9(5):1199–1216, 2024.

Fully-Geometric Cross-Attention for Point Cloud Registration 3d shape knowledge graph for cross-domain 3d shape retrieval.CAAI Transactions on Intelligence Tech- nology, 9(5):1199–1216, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:20.015916Z

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Observation 08bea7ae-e939-440d-b5db-dc5cdb5f1a3b · outbound

This paper cites Deep global registration.

Fully-Geometric Cross-Attention for Point Cloud Registration Deep global registration

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:20.000097Z

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Observation 9e95929c-e50e-4247-b6b6-234c9ca17b59 · outbound

This paper cites Fully convolutional geometric features.

Fully-Geometric Cross-Attention for Point Cloud Registration Fully convolutional geometric features

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.987109Z

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Observation dc0ecddc-1f99-4e02-a4f7-07fd1cd310c2 · outbound

This paper cites Corsetti, D.

Fully-Geometric Cross-Attention for Point Cloud Registration Corsetti, D

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.974834Z

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Observation 56ba828d-6b16-4a52-9681-695078e53b79 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.NeurIPS, 26:2292–2300, 2013.

Fully-Geometric Cross-Attention for Point Cloud Registration Sinkhorn distances: Lightspeed computation of optimal transport.NeurIPS, 26:2292–2300, 2013

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.961880Z

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Observation ef21eeca-a1f4-420e-b57c-824961b1828c · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.COMMUN ACM, 24(6):381–395, 1981.

Fully-Geometric Cross-Attention for Point Cloud Registration Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.COMMUN ACM, 24(6):381–395, 1981

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.946338Z

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Observation 7c44ad0f-4850-4473-84ea-1190c7e8e3fd · outbound

This paper cites Robust point cloud registration frame- work based on deep graph matching.

Fully-Geometric Cross-Attention for Point Cloud Registration Robust point cloud registration frame- work based on deep graph matching

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.933158Z

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Observation bf0a4860-7bfb-482a-bfc5-a02de700782d · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Fully-Geometric Cross-Attention for Point Cloud Registration Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.921219Z

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Observation f0d6ff1a-f69c-450d-a70d-aed545435fab · outbound

This paper cites Predator: Registration of 3d point clouds with low overlap.

Fully-Geometric Cross-Attention for Point Cloud Registration Predator: Registration of 3d point clouds with low overlap

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.908137Z

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Observation 96f573fa-6366-4102-9cfc-1cec940a6ac1 · outbound

This paper cites Feature- metric registration: A fast semi-supervised approach for ro- bust point cloud registration without correspondences.

Fully-Geometric Cross-Attention for Point Cloud Registration Feature- metric registration: A fast semi-supervised approach for ro- bust point cloud registration without correspondences

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T05:49:19.244496Z

Source-reported events for the cited work

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Observation 49854936-4dc9-430b-9c90-731f53084241 · outbound

This paper cites A comprehensive survey on point cloud registration.

Fully-Geometric Cross-Attention for Point Cloud Registration A comprehensive survey on point cloud registration

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T05:49:19.247766Z

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Observation f6e8808a-5542-4588-93e9-87066109283a · outbound

This paper cites Unsupervised point cloud regis- tration by learning unified gaussian mixture models.RA-L, 7 (3):7028–7035, 2022.

Fully-Geometric Cross-Attention for Point Cloud Registration Unsupervised point cloud regis- tration by learning unified gaussian mixture models.RA-L, 7 (3):7028–7035, 2022

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.887692Z

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Observation 3a960718-abb3-46e3-84bf-54f15d4a9d0b · outbound

This paper cites Slam-driven robotic mapping and registration of 3d point clouds.Au- tomation in Construction, 89:38–48, 2018.

Fully-Geometric Cross-Attention for Point Cloud Registration Slam-driven robotic mapping and registration of 3d point clouds.Au- tomation in Construction, 89:38–48, 2018

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.875850Z

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Observation 7b770190-dccc-41fc-9dea-3e1482074a66 · outbound

This paper cites Freeinsert: Disentangled text-guided object insertion in 3d gaussian scene without spatial priors.arXiv preprint arXiv:2505.01322, 2025.

Fully-Geometric Cross-Attention for Point Cloud Registration Freeinsert: Disentangled text-guided object insertion in 3d gaussian scene without spatial priors.arXiv preprint arXiv:2505.01322, 2025

Reference 19

Resolution: verified exact; raw_fallback, observed 2026-08-08T05:49:19.518750Z

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Observation bb64ca27-5ac6-44ac-a0b0-e9bcc3feade3 · outbound

This paper cites Iterative distance- aware similarity matrix convolution with mutual-supervised point elimination for efficient point cloud registration.

Fully-Geometric Cross-Attention for Point Cloud Registration Iterative distance- aware similarity matrix convolution with mutual-supervised point elimination for efficient point cloud registration

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.862499Z

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Observation 62188d16-8ca6-488e-a1e5-7ead13b8fb93 · outbound

This paper cites Point cloud registration with self-supervised feature learning and beam search.

Fully-Geometric Cross-Attention for Point Cloud Registration Point cloud registration with self-supervised feature learning and beam search

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.850664Z

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Observation ac0af339-6209-4273-84e8-4bd361ce5b97 · outbound

This paper cites Overlap-guided coarse-to-fine correspondence prediction for point cloud registration.

Fully-Geometric Cross-Attention for Point Cloud Registration Overlap-guided coarse-to-fine correspondence prediction for point cloud registration

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.829032Z

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Observation 5e4cfb93-d770-4ada-9b22-98656003068b · outbound

This paper cites an unresolved cited work.

Fully-Geometric Cross-Attention for Point Cloud Registration Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-08T05:49:19.819908Z

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Observation 66185ead-5e25-4d0e-8704-8cc96883ddf8 · outbound

This paper cites Overlap-guided gaussian mix- ture models for point cloud registration.

Fully-Geometric Cross-Attention for Point Cloud Registration Overlap-guided gaussian mix- ture models for point cloud registration

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.811189Z

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Observation c4e211e5-475f-4ad1-b331-e64fdf26364f · outbound

This paper cites Unsu- pervised deep probabilistic approach for partial point cloud registration.

Fully-Geometric Cross-Attention for Point Cloud Registration Unsu- pervised deep probabilistic approach for partial point cloud registration

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.800877Z

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Observation 3a8b7fbe-d378-48cc-93e6-5da1eea01719 · outbound

This paper cites Hgan: Holistic generative adversarial networks for two- dimensional image-based three-dimensional object retrieval.

Fully-Geometric Cross-Attention for Point Cloud Registration Hgan: Holistic generative adversarial networks for two- dimensional image-based three-dimensional object retrieval

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.791970Z

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Observation cbd3d18f-407d-4a1d-8e90-dac9f8cc515b · outbound

This paper cites T2td: Text-3d generation model based on prior knowledge guidance.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Fully-Geometric Cross-Attention for Point Cloud Registration T2td: Text-3d generation model based on prior knowledge guidance.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.782849Z

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Observation 03131662-1fd7-4606-bdf2-4ebe5cada769 · outbound

This paper cites 3dregnet: A deep neural network for 3d point registration.

Fully-Geometric Cross-Attention for Point Cloud Registration 3dregnet: A deep neural network for 3d point registration

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.773274Z

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Observation c36005f7-1974-44ec-8ed8-e8c133a05c48 · outbound

This paper cites Computational optimal transport: With applications to data science.F oundations and Trends® in Machine Learning, 11(5-6):355–607, 2019.

Fully-Geometric Cross-Attention for Point Cloud Registration Computational optimal transport: With applications to data science.F oundations and Trends® in Machine Learning, 11(5-6):355–607, 2019

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.764236Z

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Observation 88a0205f-2af5-4d03-bb9d-bef11d746f52 · outbound

This paper cites Learning general and distinctive 3D local deep descriptors for point cloud registration.

Fully-Geometric Cross-Attention for Point Cloud Registration Learning general and distinctive 3D local deep descriptors for point cloud registration

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-08T05:49:19.415469Z

Source-reported events for the cited work

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Observation c784b6f6-9f58-43ae-9053-6f62677992ce · outbound

This paper cites Geometric transformer for fast and ro- bust point cloud registration.

Fully-Geometric Cross-Attention for Point Cloud Registration Geometric transformer for fast and ro- bust point cloud registration

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.753920Z

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Observation 65e43c2a-58d7-439a-8913-446ae43b57cf · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds.

Fully-Geometric Cross-Attention for Point Cloud Registration Kpconv: Flexible and deformable convolution for point clouds

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.742767Z

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Observation 30b15b53-f601-44d8-bc92-5e5a6400ce77 · outbound

This paper cites Attention is all you need.NeurIPS, 30, 2017.

Fully-Geometric Cross-Attention for Point Cloud Registration Attention is all you need.NeurIPS, 30, 2017

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.731892Z

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Observation 4c15d4aa-a828-4d4e-8fff-bfef3085bfa6 · outbound

This paper cites You only hypothesize once: Point cloud registration with rotation-equivariant descriptors.

Fully-Geometric Cross-Attention for Point Cloud Registration You only hypothesize once: Point cloud registration with rotation-equivariant descriptors

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.720234Z

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Observation e46abc1f-b760-4842-a92d-82316dc34321 · outbound

This paper cites Roreg: Pairwise point cloud registration with oriented descriptors and local rotations.TPAMI, 2023.

Fully-Geometric Cross-Attention for Point Cloud Registration Roreg: Pairwise point cloud registration with oriented descriptors and local rotations.TPAMI, 2023

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.709117Z

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Observation 14330b2c-ce86-43a7-8231-77fb2ecbe162 · outbound

This paper cites Zeroreg: Zero-shot point cloud registration with foundation models,.

Fully-Geometric Cross-Attention for Point Cloud Registration Zeroreg: Zero-shot point cloud registration with foundation models,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.696700Z

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Observation 33d213c7-8df1-44e7-ab42-410a5ec8df18 · outbound

This paper cites Uvmap-id: A controllable and personalized uv map generative model.

Fully-Geometric Cross-Attention for Point Cloud Registration Uvmap-id: A controllable and personalized uv map generative model

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.685220Z

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Observation 478a3d94-eb53-41da-8e56-29793e7ac1cc · outbound

This paper cites Deep closest point: Learn- ing representations for point cloud registration.

Fully-Geometric Cross-Attention for Point Cloud Registration Deep closest point: Learn- ing representations for point cloud registration

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.673729Z

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Observation a0f36f13-43b2-4106-ade1-9908ed09c66d · outbound

This paper cites Prnet: Self-supervised learning for partial-to-partial registration.

Fully-Geometric Cross-Attention for Point Cloud Registration Prnet: Self-supervised learning for partial-to-partial registration

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.661762Z

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Observation 72bb65fe-0bd8-4de5-8e4e-b2d5fc380755 · outbound

This paper cites A bayesian regularization network approach to thermal distortion control in 3d printing.Computational Me- chanics, pages 1–18, 2023.

Fully-Geometric Cross-Attention for Point Cloud Registration A bayesian regularization network approach to thermal distortion control in 3d printing.Computational Me- chanics, pages 1–18, 2023

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.650130Z

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Observation 811e16e1-d0f2-48cf-843c-41e7172cd41c · outbound

This paper cites Omnet: Learning overlapping mask for partial- to-partial point cloud registration.

Fully-Geometric Cross-Attention for Point Cloud Registration Omnet: Learning overlapping mask for partial- to-partial point cloud registration

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.638347Z

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Observation b303b0bc-07a4-4754-9e67-332a4a91c998 · outbound

This paper cites Glorn: Strong generalization fully convolutional network for low- overlap point cloud registration.T-GE, 60:1–14, 2022.

Fully-Geometric Cross-Attention for Point Cloud Registration Glorn: Strong generalization fully convolutional network for low- overlap point cloud registration.T-GE, 60:1–14, 2022

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.626408Z

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Observation 93f368c3-6216-4416-8bd0-625c6109673d · outbound

This paper cites Rpm-net: Robust point matching using learned features.

Fully-Geometric Cross-Attention for Point Cloud Registration Rpm-net: Robust point matching using learned features

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.614917Z

Source-reported events for the cited work

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Observation 7ed753c0-c7b7-4da4-86b7-db4379cc7961 · outbound

This paper cites Regtr: End-to-end point cloud correspondences with transformers.

Fully-Geometric Cross-Attention for Point Cloud Registration Regtr: End-to-end point cloud correspondences with transformers

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.603129Z

Source-reported events for the cited work

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Observation ffb96856-c764-4f3e-b79a-fe6132be06f2 · outbound

This paper cites Cofinet: Reliable coarse-to-fine correspon- dences for robust pointcloud registration.NeurIPS, 34, 2021.

Fully-Geometric Cross-Attention for Point Cloud Registration Cofinet: Reliable coarse-to-fine correspon- dences for robust pointcloud registration.NeurIPS, 34, 2021

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.589258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation acadbade-0cc3-4bbb-82a3-35a496114db9 · outbound

This paper cites Rotation-invariant transformer for point cloud matching.

Fully-Geometric Cross-Attention for Point Cloud Registration Rotation-invariant transformer for point cloud matching

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.577609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a1b30a1-35a6-4114-a95f-de37fdf44f9b · outbound

This paper cites 3dmatch: Learning local geometric descriptors from rgb-d reconstruc- tions.

Fully-Geometric Cross-Attention for Point Cloud Registration 3dmatch: Learning local geometric descriptors from rgb-d reconstruc- tions

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.565455Z

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Observation 74325c72-cad6-4b41-b663-fbffe6e0e6a3 · outbound

This paper cites Patchformer: An efficient point transformer with patch at- tention.

Fully-Geometric Cross-Attention for Point Cloud Registration Patchformer: An efficient point transformer with patch at- tention

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.554267Z

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Observation 672aaff0-919d-4936-97a5-7c7fa3f2a293 · outbound

This paper cites Deep learning based point cloud registration: an overview.VRIH, 2(3):222– 246, 2020.

Fully-Geometric Cross-Attention for Point Cloud Registration Deep learning based point cloud registration: an overview.VRIH, 2(3):222– 246, 2020

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:49:19.541303Z

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Observation bba84585-a313-4b2b-9505-78e7aa23a028 · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

Fully-Geometric Cross-Attention for Point Cloud Registration Open3D: A Modern Library for 3D Data Processing

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