SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds | Paper Citation Record

Observation 4b2d14b6-539a-4d8d-974a-fba353a3aa15 · outbound

This paper cites Ransac-based multi primitive building reconstruction from 3d point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Ransac-based multi primitive building reconstruction from 3d point clouds,

Reference 1

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Observation e7e3e0dc-ae6f-4694-b257-8f64273a225e · outbound

This paper cites Roof plane segmentation from airborne lidar data using hierarchical clustering and boundary relabeling,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Roof plane segmentation from airborne lidar data using hierarchical clustering and boundary relabeling,

Reference 2

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Observation 984d8b29-de9c-4e70-9350-aefe80f7ea8f · outbound

This paper cites A global solution to topological reconstruction of building roof models from airborne lidar point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds A global solution to topological reconstruction of building roof models from airborne lidar point clouds,

Reference 3

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Observation 7006fd8d-8d80-4119-9042-d0e49ceb272b · outbound

This paper cites Polyfit: Polygonal surface reconstruction from point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Polyfit: Polygonal surface reconstruction from point clouds,

Reference 4

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Observation 5d23585d-292e-4348-a2dc-96310abcfb2b · outbound

This paper cites An improved multi-task pointwise network for segmentation of building roofs in airborne laser scanning point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds An improved multi-task pointwise network for segmentation of building roofs in airborne laser scanning point clouds,

Reference 5

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Observation a6f2c1eb-a0b6-4624-a12d-34d03343f3d2 · outbound

This paper cites Automatic region- growing system for the segmentation of large point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Automatic region- growing system for the segmentation of large point clouds,

Reference 6

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Observation eb987bce-20d8-4953-ac9a-a68a323694d1 · outbound

This paper cites Segmentation and reconstruction of polyhedral building roofs from aerial lidar point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Segmentation and reconstruction of polyhedral building roofs from aerial lidar point clouds,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:26:56.918930Z

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Observation a098d5ed-9e19-4592-840e-fc263eec0d6a · outbound

This paper cites A local tangent plane distance-based approach to 3d point cloud segmentation via clustering,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds A local tangent plane distance-based approach to 3d point cloud segmentation via clustering,

Reference 8

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Observation a67d0786-2fa0-46e0-8889-b1d74c4aa092 · outbound

This paper cites Splitting and merg- ing based multi-model fitting for point cloud segmentation,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Splitting and merg- ing based multi-model fitting for point cloud segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:17.810407Z

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Observation f0274f4d-792f-4414-a327-a8a2f03753de · outbound

This paper cites Robust segmentation and localization of structural planes from photogrammetric point clouds in construction sites,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Robust segmentation and localization of structural planes from photogrammetric point clouds in construction sites,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:17.660866Z

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Observation cf14ccf4-dfc4-46f1-87df-5d026ebc70e4 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:26:57.335112Z

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Observation 7c56a008-5768-4868-a41a-fdcce3fb32fa · outbound

This paper cites An improved ransac for 3d point cloud plane segmentation based on normal distribution transformation cells,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds An improved ransac for 3d point cloud plane segmentation based on normal distribution transformation cells,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:17.504218Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9c4ffeb7-dbda-429b-94b5-dbec90230d91 · outbound

This paper cites Deep learning for 3d point clouds: A survey,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Deep learning for 3d point clouds: A survey,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:17.365751Z

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Observation c7d9e93d-9127-4a26-a5da-246110db79ed · outbound

This paper cites Superpoint transformer for 3d scene instance segmentation,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Superpoint transformer for 3d scene instance segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:17.230466Z

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Observation 32e806ed-541d-4886-b959-c107a620c265 · outbound

This paper cites Efficient 3d semantic segmen- tation with superpoint transformer,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Efficient 3d semantic segmen- tation with superpoint transformer,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:17.044735Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 96489c80-0c7a-471a-8f29-3de5fcd6865c · outbound

This paper cites Taseg: Temporal aggregation network for lidar semantic segmentation,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Taseg: Temporal aggregation network for lidar semantic segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:16.859757Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b9750e48-f785-457b-b07e-dbf56d580c9a · outbound

This paper cites Superpixel transformers for efficient semantic segmentation,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Superpixel transformers for efficient semantic segmentation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:16.639985Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a28fb38b-420c-4d0d-85ad-4966452874fd · outbound

This paper cites Large-scale als point cloud segmentation via projection-based context embedding,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Large-scale als point cloud segmentation via projection-based context embedding,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:16.494666Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f36a1663-ff06-47d0-9e53-26167b84daba · outbound

This paper cites Point and voxel cross perception with lightweight cosformer for large-scale point cloud semantic segmentation,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Point and voxel cross perception with lightweight cosformer for large-scale point cloud semantic segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:16.283056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7671b2e3-fe2a-4eb7-bf00-3c8c51c79ca3 · outbound

This paper cites Opoca: One point one class annotation for lidar point cloud semantic segmentation,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Opoca: One point one class annotation for lidar point cloud semantic segmentation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:16.084267Z

Source-reported events for the cited work

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Observation 673f039e-1968-472a-b584-d6ceb5c1e71a · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:15.888016Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a63665fc-a317-4300-b970-93789bf0dfb8 · outbound

This paper cites A boundary-aware point clustering approach in euclidean and embedding spaces for roof plane segmentation,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds A boundary-aware point clustering approach in euclidean and embedding spaces for roof plane segmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:15.697587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c16c39a8-38d8-4811-ba11-4efbe4c8019f · outbound

This paper cites Automatic generation of 3-d roof training dataset for building roof segmentation from als point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Automatic generation of 3-d roof training dataset for building roof segmentation from als point clouds,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:15.540499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5a717363-2134-401e-a903-befd9567aacf · outbound

This paper cites KAN: Kolmogorov–arnold networks,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds KAN: Kolmogorov–arnold networks,

Reference 24

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Observation c906ad11-360d-4d7b-a1a6-550748fdbcad · outbound

This paper cites Roofn3d: A database for 3d building reconstruction with deep learning,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Roofn3d: A database for 3d building reconstruction with deep learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:15.396498Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8cfedf22-a359-4105-be9e-e7587ec5fd17 · outbound

This paper cites Building3d: A urban-scale dataset and benchmarks for learning roof structures from point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Building3d: A urban-scale dataset and benchmarks for learning roof structures from point clouds,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:15.146791Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2e7ad44f-c6f9-4cc6-81c8-2f09706f4884 · outbound

This paper cites Seeded region growing,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Seeded region growing,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:14.980242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation abb02688-3c88-4676-b9d3-955c50347cb7 · outbound

This paper cites Three-dimensional surface mesh segmentation using curvedness-based region growing approach,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Three-dimensional surface mesh segmentation using curvedness-based region growing approach,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:14.794559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dbb63ee8-6eb8-49b6-a2c2-da6e7d86a830 · outbound

This paper cites Irgs: Image segmentation using edge penal- ties and region growing,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Irgs: Image segmentation using edge penal- ties and region growing,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:14.627433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f66e8ead-a37d-4658-b1c2-ac5256fa1d95 · outbound

This paper cites Octree- based region growing for point cloud segmentation,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Octree- based region growing for point cloud segmentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:14.460661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5bf7d430-f6cc-4fe9-a46c-09e42b2e3045 · outbound

This paper cites Multi-value voxel connected region construction based on 3d plane extraction for airborne lidar data,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Multi-value voxel connected region construction based on 3d plane extraction for airborne lidar data,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:14.292503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fc49f1fc-a92c-4b71-91eb-79f28d0da449 · outbound

This paper cites A global optimization approach to roof segmentation from airborne lidar point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds A global optimization approach to roof segmentation from airborne lidar point clouds,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:14.160662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0c9c55a9-282d-4848-870d-332d7f3856af · outbound

This paper cites An efficient global energy optimization approach for robust 3d plane segmentation of point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds An efficient global energy optimization approach for robust 3d plane segmentation of point clouds,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:13.983391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 43ee0fc0-6036-4268-a885-5b0b85f30bde · outbound

This paper cites Roof plane segmentation from lidar point cloud data using region expansion based l0 gradient minimization and graph cut,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Roof plane segmentation from lidar point cloud data using region expansion based l0 gradient minimization and graph cut,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:13.784622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5c9a9920-c718-463d-8f6c-99504d7473a0 · outbound

This paper cites Efficient ransac for point-cloud shape detection,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Efficient ransac for point-cloud shape detection,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:13.607035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9081da23-fcec-4d9a-bc83-135edeab2e88 · outbound

This paper cites Plane detection to improve 3d scanning speed using ransac algorithm,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Plane detection to improve 3d scanning speed using ransac algorithm,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:13.407393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 49cbdfaf-4d05-45bb-adbc-440035a054f1 · outbound

This paper cites Investigation on the weighted ransac approaches for building roof plane segmentation from lidar point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Investigation on the weighted ransac approaches for building roof plane segmentation from lidar point clouds,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:13.218361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cf77454c-ea84-4d2e-9cb2-bbe48ccec52e · outbound

This paper cites An improved ransac algorithm for point cloud segmentation of complex building roofs,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds An improved ransac algorithm for point cloud segmentation of complex building roofs,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:12.861562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70acfd82-83b5-4d06-bc44-bed3c8ae152b · outbound

This paper cites Optimal ransac method for segmentation of complex building roof planes,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Optimal ransac method for segmentation of complex building roof planes,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:12.549874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9496def6-51e4-4409-b81f-2fe4817cbca3 · outbound

This paper cites A multi-scale plane-detection method based on the hough transform and region growing,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds A multi-scale plane-detection method based on the hough transform and region growing,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:12.344020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91b6c1d2-e4cd-4d26-a291-cfe156e78056 · outbound

This paper cites Automatic extraction of building roof planes from airborne lidar data applying an extended 3d randomized hough transform,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Automatic extraction of building roof planes from airborne lidar data applying an extended 3d randomized hough transform,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:12.035839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 960e5d1b-1c7b-48a4-905e-845953217871 · outbound

This paper cites Hough transform for real-time plane detection in depth images,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Hough transform for real-time plane detection in depth images,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:11.781109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9784135b-75bf-4ce6-acee-b1a23d6d1e0e · outbound

This paper cites Structural plane recognition from three-dimensional laser scanning points using an improved region-growing algorithm based on the robust randomized hough transform,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Structural plane recognition from three-dimensional laser scanning points using an improved region-growing algorithm based on the robust randomized hough transform,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:11.616171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 63c4702f-7a96-4622-a7cc-c7f0aab8cfc0 · outbound

This paper cites Identifying planes in point-clouds for efficient hybrid rendering,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Identifying planes in point-clouds for efficient hybrid rendering,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:11.478821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3a06fc46-4707-4567-b666-b5602d2bf382 · outbound

This paper cites Recognising structure in laser scanner point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Recognising structure in laser scanner point clouds,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:11.347237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 31e709b4-651d-4196-88dc-1a9b50518600 · outbound

This paper cites Roof reconstruction of aerial point cloud based on bppm plane segmentation and energy optimization,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Roof reconstruction of aerial point cloud based on bppm plane segmentation and energy optimization,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:11.153663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4df6b36d-4740-430f-b501-006dbe5d4a7c · outbound

This paper cites A mean shift based competition algorithm for robust extraction of roof plane from airborne laser scanning data,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds A mean shift based competition algorithm for robust extraction of roof plane from airborne laser scanning data,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:11.020534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 31683778-0504-45b8-86e5-1e18c32d09c8 · outbound

This paper cites Automatic segmentation of urban point clouds based on the gaussian map,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Automatic segmentation of urban point clouds based on the gaussian map,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:10.913465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0632f970-1a90-4ecb-993d-ed58130b0e7c · outbound

This paper cites 6d dbscan-based segmentation of building point clouds for planar object classification,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds 6d dbscan-based segmentation of building point clouds for planar object classification,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:10.784989Z

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Observation e31d533e-d8fc-4c65-aea5-16c86e3633df · outbound

This paper cites Rapter: rebuilding man-made scenes with regular arrangements of planes,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Rapter: rebuilding man-made scenes with regular arrangements of planes,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:10.642220Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5861f7fe-3c37-4434-8e08-da9d14e87448 · outbound

This paper cites Fast regularity- constrained plane fitting,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Fast regularity- constrained plane fitting,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:10.553668Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 96124d33-23e8-478b-a49f-f76766b3e821 · outbound

This paper cites From planes to corners: Multi-purpose primitive detection in unorganized 3d point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds From planes to corners: Multi-purpose primitive detection in unorganized 3d point clouds,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:10.459630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bf36b351-3652-4178-9bd4-cc4c8c68026d · outbound

This paper cites Extracting pop: Pairwise orthogonal planes from point cloud using ransac,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Extracting pop: Pairwise orthogonal planes from point cloud using ransac,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:10.330413Z

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Observation 209f20b2-59d5-4415-be9d-5444f911cfc4 · outbound

This paper cites Point cloud oversegmentation with graph-structured deep metric learning,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Point cloud oversegmentation with graph-structured deep metric learning,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:10.219660Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e31cc9d-e457-4bc1-be61-81818b49e89d · outbound

This paper cites Instance segmentation in 3d scenes using semantic superpoint tree networks,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Instance segmentation in 3d scenes using semantic superpoint tree networks,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:10.089982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 76ee1bf1-852d-44ff-b879-4f01ad995418 · outbound

This paper cites Ponderv2: Pave the way for 3d foundation model with a universal pre-training paradigm,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Ponderv2: Pave the way for 3d foundation model with a universal pre-training paradigm,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:09.933244Z

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Observation 5d6da155-13ef-478b-b8a8-602901442bd1 · outbound

This paper cites Large-scale point cloud semantic segmentation with superpoint graphs,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Large-scale point cloud semantic segmentation with superpoint graphs,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:09.762774Z

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Observation e0084a01-1ec3-48fa-b356-19b3032b6704 · outbound

This paper cites Learning superpoint graph cut for 3d instance segmentation,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Learning superpoint graph cut for 3d instance segmentation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:09.586699Z

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Observation 3bf5a220-c4d9-4213-8d48-fb1ef6f3c7d8 · outbound

This paper cites an unresolved cited work.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:27:09.409762Z

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Observation 60edcd68-a92a-4451-9773-a2442edf41e1 · outbound

This paper cites The perceptron: a probabilistic model for information storage and organization in the brain.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds The perceptron: a probabilistic model for information storage and organization in the brain

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:09.243774Z

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Observation bb964bab-5133-4873-932a-ebc1bcdd413a · outbound

This paper cites Learning repre- sentations by back-propagating errors,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Learning repre- sentations by back-propagating errors,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:09.124120Z

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Observation 5b3964a3-e18c-48ab-85bb-21f68b7a3098 · outbound

This paper cites Chebyshev polynomial-based kolmogorov-arnold networks: An efficient architecture for nonlinear function approximation,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Chebyshev polynomial-based kolmogorov-arnold networks: An efficient architecture for nonlinear function approximation,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:08.943113Z

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Observation 6e4ed6fa-32d9-45d2-8381-121ee17e6046 · outbound

This paper cites Wav-kan: Wavelet kolmogorov-arnold networks,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Wav-kan: Wavelet kolmogorov-arnold networks,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:08.762547Z

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Observation 229e5b1b-e9b4-4e13-9c41-5456a77db19c · outbound

This paper cites Fourierkan outperforms mlp on text classification head fine-tuning,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Fourierkan outperforms mlp on text classification head fine-tuning,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:08.575683Z

Source-reported events for the cited work

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Observation 14db40b1-6d1e-4c93-9cc7-ca3a2a1e81b4 · outbound

This paper cites Fourierkan-gcf: Fourier kolmogorov-arnold network – an effective and efficient feature transformation for graph collaborative filtering,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Fourierkan-gcf: Fourier kolmogorov-arnold network – an effective and efficient feature transformation for graph collaborative filtering,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:08.419548Z

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Observation b4748393-383b-4226-9b6b-6983a721c28d · outbound

This paper cites Neural graph collaborative filtering,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Neural graph collaborative filtering,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:08.235322Z

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Observation 5a756171-8fdf-4cd7-a83b-6e1d5a88558a · outbound

This paper cites KAN or MLP: A Fairer Comparison.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds KAN or MLP: A Fairer Comparison

Reference 67

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Observation 571f4f5e-872f-4e12-8157-8d4b3cee749d · outbound

This paper cites Can kan work? exploring the potential of kolmogorov-arnold networks in computer vision,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Can kan work? exploring the potential of kolmogorov-arnold networks in computer vision,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:08.078091Z

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Observation 79cf394b-92cd-417a-8248-fbdf045c2863 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Learning transferable visual models from natural language supervi- sion,

Reference 69

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Observation d30c74a3-732b-48e3-a5f2-8690c08a17d4 · outbound

This paper cites Unsupervised building extraction from multimodal aerial data based on accurate vegetation removal and image feature consistency constraint,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Unsupervised building extraction from multimodal aerial data based on accurate vegetation removal and image feature consistency constraint,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:07.922653Z

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Observation d1169a8d-69c7-4206-b058-bf3f1b22449f · outbound

This paper cites Segment anything,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Segment anything,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:07.728382Z

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Observation 4a4451a8-d7ec-4784-8d08-99850cc09ad3 · outbound

This paper cites Few-shot aerial image semantic segmentation leveraging pyramid correlation fusion,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Few-shot aerial image semantic segmentation leveraging pyramid correlation fusion,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:07.549443Z

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Observation 0f0ebc56-8148-4455-9f1b-e534bebd8974 · outbound

This paper cites Smilies: A soft-multi- label-guided weakly supervised semantic segmentation framework for remote sensing images,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Smilies: A soft-multi- label-guided weakly supervised semantic segmentation framework for remote sensing images,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:07.356035Z

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Observation d542929f-bc08-4b7e-a82d-5a9b1a228bd1 · outbound

This paper cites Analysis of a complex of statistical variables into principal components.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Analysis of a complex of statistical variables into principal components

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:07.146203Z

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Observation 1b8f8e37-e7ff-4eef-9ba0-3b41e0e3efb6 · outbound

This paper cites Dimensionality based scale selection in 3d lidar point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Dimensionality based scale selection in 3d lidar point clouds,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:06.863424Z

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Observation 65041d36-e6cc-4a80-8136-98d289edd0f2 · outbound

This paper cites Weakly supervised segmentation-aided classification of urban scenes from 3d lidar point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Weakly supervised segmentation-aided classification of urban scenes from 3d lidar point clouds,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:06.618772Z

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Observation d196b7b6-4f25-482b-8257-ed367e50a7de · outbound

This paper cites U-kan makes strong backbone for medical image segmentation and generation,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds U-kan makes strong backbone for medical image segmentation and generation,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:06.422830Z

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Observation 07081174-7e84-400b-851a-a14a8a0130ee · outbound

This paper cites Demonstrating the efficacy of kolmogorov-arnold networks in vision tasks,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Demonstrating the efficacy of kolmogorov-arnold networks in vision tasks,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:06.248366Z

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Observation 271eea50-2947-48d1-a9c3-a83a35fc82d9 · outbound

This paper cites Scale selection based on moran’s i for segmentation of high resolution remotely sensed images,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Scale selection based on moran’s i for segmentation of high resolution remotely sensed images,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:06.033832Z

Source-reported events for the cited work

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Observation 3daf4077-27c2-4e3a-b17c-408a5dd4ff15 · outbound

This paper cites Normalization in unsupervised segmentation parameter opti- mization: A solution based on local regression trend analysis,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Normalization in unsupervised segmentation parameter opti- mization: A solution based on local regression trend analysis,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:05.777979Z

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Observation fada8828-5832-478c-b9c6-fbcf1aa47de8 · outbound

This paper cites Subtracted histogram: Utilizing mutual relation between features for thresholding,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Subtracted histogram: Utilizing mutual relation between features for thresholding,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:05.511868Z

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Observation 023a44d6-1848-4e8a-87df-4af98b02cc66 · outbound

This paper cites Efficient graph-based image segmentation,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Efficient graph-based image segmentation,

Reference 82

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Observation 52f42bbb-a8e0-4639-8787-b456e80a0466 · outbound

This paper cites Adaptive regularization for image segmentation using local image curvature cues,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Adaptive regularization for image segmentation using local image curvature cues,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:05.264145Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4a6f61c2-ea23-455c-9154-49b35a661c7f · outbound

This paper cites Region merging using local spectral angle thresholds: A more accurate method for hybrid segmentation of remote sensing images,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Region merging using local spectral angle thresholds: A more accurate method for hybrid segmentation of remote sensing images,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:05.087163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b84076ad-b003-4c7b-aebb-f0d54bed346a · outbound

This paper cites Scale-variable region-merging for high resolution remote sensing image segmentation,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Scale-variable region-merging for high resolution remote sensing image segmentation,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:04.882442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 60207012-440a-4762-a144-bc9c9f099603 · outbound

This paper cites Associatively seg- menting instances and semantics in point clouds,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Associatively seg- menting instances and semantics in point clouds,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:04.609716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c89cd69-9698-4490-8cf1-76372454b0bf · outbound

This paper cites Robust 3-d plane segmentation from airborne point clouds based on quasi-a-contrario theory,.

SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds Robust 3-d plane segmentation from airborne point clouds based on quasi-a-contrario theory,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:04.349177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Reference resolution

Outbound references

Pith citing papers