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Paper Citation Record · LEDGER

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models

As of 16 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:1908.06087.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.06087 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:09:51.014999Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

64 of 64 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee4a096c-a197-4e42-aaf5-5c7ee4ce5bc3 · outbound

This paper cites Rigid Motion Segmentation Using Random- ized V oting,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Rigid Motion Segmentation Using Random- ized V oting,

Reference 1

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Observation c4400fd5-ce9a-4763-9028-5bb7935de51b · outbound

This paper cites Perspective motion segmentation via collaborative clustering,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Perspective motion segmentation via collaborative clustering,

Reference 2

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Observation 8cd3e474-84da-4a5e-9844-4a5ccbbaac6a · outbound

This paper cites Multi-scale clustering of frame-to-frame correspondences for motion segmentation,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Multi-scale clustering of frame-to-frame correspondences for motion segmentation,

Reference 3

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Observation dd9fb695-093f-4244-96b1-7b92d00a4fd6 · outbound

This paper cites Motion Segmentation Via a Sparsity Constraint,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Motion Segmentation Via a Sparsity Constraint,

Reference 4

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Source-reported events for the cited work

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Observation c2cb3af1-0162-446e-aae8-8f09e3ba3f7e · outbound

This paper cites Guided sampling via weak motion models and outlier sample generation for epipolar geometry estimation,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Guided sampling via weak motion models and outlier sample generation for epipolar geometry estimation,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 14b52d85-ca98-4c87-87bc-e1cd54107b2c · outbound

This paper cites Geometric structure of degeneracy for multi- body motion segmentation,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Geometric structure of degeneracy for multi- body motion segmentation,

Reference 6

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Source-reported events for the cited work

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Observation c333cfbe-62b9-4765-ab95-ed28d720248e · outbound

This paper cites Robust Detection of Degenerate Configurations while Estimating the Fundamental Matrix,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Robust Detection of Degenerate Configurations while Estimating the Fundamental Matrix,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cafae24b-c6be-4027-a321-99b358af6e21 · outbound

This paper cites A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9fbde5fc-5057-4a9a-a7b6-0786a0276cf0 · outbound

This paper cites Hartley and A.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Hartley and A

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 80bc1b16-0254-4bee-af05-06b04d6858d7 · outbound

This paper cites Vision meets robotics: The kitti dataset,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Vision meets robotics: The kitti dataset,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 023c14f9-90f6-4deb-91f4-48748843d0aa · outbound

This paper cites Estimating the number of clusters in a data set via the gap statistic,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Estimating the number of clusters in a data set via the gap statistic,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e1de5937-9f07-4ae1-8e91-fd3034f10f4d · outbound

This paper cites Multi-structure model selection via kernel optimisation,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Multi-structure model selection via kernel optimisation,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8c0244f0-9d8d-4e99-ab33-d8199f779e23 · outbound

This paper cites Simultaneous Clustering and Model Selection: Algorithm, Theory and Applications,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Simultaneous Clustering and Model Selection: Algorithm, Theory and Applications,

Reference 13

Resolution
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Source-reported events for the cited work

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Observation 2304f091-38e6-4c95-adde-bed30ece8321 · outbound

This paper cites A tutorial on spectral clustering,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models A tutorial on spectral clustering,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 83e97dd7-93c2-411e-ac2a-86c8b8f89708 · outbound

This paper cites Robust recovery of subspace structures by low-rank representation,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Robust recovery of subspace structures by low-rank representation,

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 50daf32e-3bab-41a8-8878-6b5eb0435812 · outbound

This paper cites SCAMS: Simultaneous clustering and model selection,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models SCAMS: Simultaneous clustering and model selection,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2547abf3-be04-4ab8-9a4b-8f3809a10123 · outbound

This paper cites Factorization-based segmentation of motions,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Factorization-based segmentation of motions,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d34dfbec-364f-4068-8f10-e9345805bf2b · outbound

This paper cites A multibody factorization method for independently moving objects,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models A multibody factorization method for independently moving objects,

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ec932a09-0843-477e-900d-de81d0f65528 · outbound

This paper cites Multibody grouping from motion images,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Multibody grouping from motion images,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 14e08b2b-70f1-4979-972d-feff695d0fda · outbound

This paper cites Multibody factorization with uncertainty and missing data using the em algorithm,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Multibody factorization with uncertainty and missing data using the em algorithm,

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cfedad32-3849-462c-a6f6-5ef7da21b1a1 · outbound

This paper cites Shape and motion from image streams under orthography: a factorization method,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Shape and motion from image streams under orthography: a factorization method,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation dc4574ac-305f-43cb-9eb4-6383b6b60706 · outbound

This paper cites Motion segmentation in the pres- ence of outlying, incomplete, or corrupted trajectories,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Motion segmentation in the pres- ence of outlying, incomplete, or corrupted trajectories,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6bc0730b-dd6b-4785-b1c8-49ccd9bee2d8 · outbound

This paper cites Motion segmentation with missing data using powerfactorization and gpca,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Motion segmentation with missing data using powerfactorization and gpca,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ea0edc90-fe33-45cf-8020-2f0d49217dee · outbound

This paper cites Generalized principal component analysis (gpca),.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Generalized principal component analysis (gpca),

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1b606e7b-9e79-4758-b9e0-8dad42d4e002 · outbound

This paper cites Multiframe motion segmentation with missing data using PowerFactorization and GPCA,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Multiframe motion segmentation with missing data using PowerFactorization and GPCA,

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ca2c87aa-e1f9-43bc-ad8c-bb7258b456a7 · outbound

This paper cites Spectral clustering of linear subspaces for motion segmentation,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Spectral clustering of linear subspaces for motion segmentation,

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 36d178c5-cc77-4b6d-853f-dcde530f45f1 · outbound

This paper cites A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and non-degenerate,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and non-degenerate,

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fb7f6bd6-fc29-48b4-970c-92b8db6cb877 · outbound

This paper cites Sparse subspace clustering: Algorithm, theory, and applications,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Sparse subspace clustering: Algorithm, theory, and applications,

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 63d1a0e3-23d8-452d-af7b-5d0f10442a49 · outbound

This paper cites Segmenting motions of different types by unsupervised manifold clustering,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Segmenting motions of different types by unsupervised manifold clustering,

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 220cf2b6-2be2-4d4b-98e9-74fcdeca4c0e · outbound

This paper cites The ordered residual kernel for robust motion subspace clustering,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models The ordered residual kernel for robust motion subspace clustering,

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 463f5697-3655-479c-9fde-fb8dff5a97d6 · outbound

This paper cites Accelerated hypothesis generation for multi-structure robust fitting,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Accelerated hypothesis generation for multi-structure robust fitting,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.845138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4b0b81d3-5dd2-4708-8a04-d12d06404c38 · outbound

This paper cites Floss: Facility location for subspace segmentation,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Floss: Facility location for subspace segmentation,

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation dd869965-7b54-4c70-8c96-d0fd2ee03905 · outbound

This paper cites Segmentation of moving objects by long term video analysis,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Segmentation of moving objects by long term video analysis,

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 29758870-d3ab-4750-add2-237b833eee47 · outbound

This paper cites Motion trajectory segmentation via minimum cost multicuts,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Motion trajectory segmentation via minimum cost multicuts,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.781295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d8f955d1-37a1-4eaf-a8b3-8a792df41686 · outbound

This paper cites Higher-order minimum cost lifted multicuts for motion segmentation,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Higher-order minimum cost lifted multicuts for motion segmentation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.762640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.801206Z digest=sha256:52b8c28f4f499360aac4eb443af3eae5cf8f1eed968b29d68685502699034dcd

Observation 6c3445f4-2c7e-42b2-8477-b72825181f54 · outbound

This paper cites It’s moving! a probabilistic model for causal motion segmentation in moving camera videos,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models It’s moving! a probabilistic model for causal motion segmentation in moving camera videos,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.743443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.811458Z digest=sha256:b60247cc6c695486620dd3c2586be38dfd0f59e9bf1b1e544babc55553d911d4

Observation 41b8e9e0-0435-4539-bcf7-70874ab03ae1 · outbound

This paper cites The best of both worlds: Combining cnns and geometric constraints for hierarchical motion segmentation,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models The best of both worlds: Combining cnns and geometric constraints for hierarchical motion segmentation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.722576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.817944Z digest=sha256:e5a55cd61f7a5bc1392b99d7df6469c9506417c15c4823db2eccc54321b1b4e0

Observation 7c91a912-9731-443e-9e67-f563e17302b4 · outbound

This paper cites Background subtraction for the moving camera: A geometric approach,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Background subtraction for the moving camera: A geometric approach,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.701298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.825861Z digest=sha256:d77281e2443a26161a82198f4e022b259991c0767b90fdc7c1aa3121a17b8263

Observation e48fb623-6bc7-4587-a645-1da73023f329 · outbound

This paper cites Multi-view learning overview: Recent progress and new challenges,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Multi-view learning overview: Recent progress and new challenges,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.681440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.834660Z digest=sha256:42e44f8a84d680cbe637eb700eb2a44b4f5794386fe23e8ffdd80f2153e3010a

Observation 61c47604-2088-4b64-a9c1-4e4b15093495 · outbound

This paper cites Multiple Kernel Learning Algorithms,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Multiple Kernel Learning Algorithms,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.659581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.841540Z digest=sha256:756f69f3402f0ef3afdae8536829ffd59f8efb1c7cdae51bbbb33ccbe22dce70

Observation 1a8a7501-0a48-4027-bece-fcb3ff417c77 · outbound

This paper cites Affinity aggregation for spectral clustering,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Affinity aggregation for spectral clustering,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.636304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.848128Z digest=sha256:2bb6ee59ec95ffb7943fed586529e3a5a6f5d52d9fbd712be64a60eef5a6f510

Observation 979776dc-3f90-4cb8-b214-d29d274a5647 · outbound

This paper cites Fusion of similarity data in clustering,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Fusion of similarity data in clustering,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.600392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.854744Z digest=sha256:e0d951194fbdadf01be338845eb6199a89a1b6aec5a88e7b561039924c9558c7

Observation 8603dcca-702a-4bfb-a93f-7e74c76e1ed2 · outbound

This paper cites Multi-view clustering and feature learning via structured sparsity,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Multi-view clustering and feature learning via structured sparsity,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.577848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.863479Z digest=sha256:26e80b5240c46d830527c62c0d7f519bc5a85e2c7b8461a09d3ee7c82e310dab

Observation 4f4f1505-12e0-4c9c-8afc-6adad960a363 · outbound

This paper cites Co-regularized Multi-view Spectral Clustering,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Co-regularized Multi-view Spectral Clustering,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.557360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.871069Z digest=sha256:7911dfa4bb2895dd939d7a9fbc0355f1c6eb179cbf623256647fdb585e57cd0c

Observation 20163d4f-67f9-4156-9ffa-a78616d2aef8 · outbound

This paper cites Silhouettes: a graphical aid to the interpretation and validation of cluster analysis,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Silhouettes: a graphical aid to the interpretation and validation of cluster analysis,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.533636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.876223Z digest=sha256:a2263690418f0890940bb9ed146b8b881603cb65aa90551009140eb301cf3bd0

Observation 2e1d7ce3-509b-4543-b799-89178d62766e · outbound

This paper cites Normalized Cuts and Image Segmentation Nor- malized Cuts and Image Segmentation,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Normalized Cuts and Image Segmentation Nor- malized Cuts and Image Segmentation,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.513092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.884345Z digest=sha256:a8721ed736ac481735a881c25067bd16bb471b4fa509b35f0c101c65858351b1

Observation 5f5a382d-268e-4377-ae2a-71f869da03c7 · outbound

This paper cites An information-theoretic derivation of min- cut-based clustering,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models An information-theoretic derivation of min- cut-based clustering,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.491043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.889839Z digest=sha256:e28bb3b8f0a123b78089541479977c2c1706cdb77656040178eb96ad1ac83c93

Observation 3fa4aea1-a697-4c8a-8c5b-fb5bfd362da7 · outbound

This paper cites Data clustering by markovian relaxation and the information bottleneck method,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Data clustering by markovian relaxation and the information bottleneck method,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.472676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.897126Z digest=sha256:ee6384232d8d6f6676c875b950610ccfe340e95d8383323d63eb4d1988d92bdb

Observation d677a3d0-34c9-4b7a-b784-edb488450183 · outbound

This paper cites On constrained spectral clustering and its applications,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models On constrained spectral clustering and its applications,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.452062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.906573Z digest=sha256:360949cd50230921aee67615b07f75fb268b387986892fab3f8412fa3a60223f

Observation 3f431325-8d7d-4a5a-b3db-051f86f68a3b · outbound

This paper cites an unresolved cited work.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-14T13:09:50.912817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:09:50.912817Z digest=sha256:000d629f851c5f41995d22a1fa499b59bd0cf60109b88d94061fe3f831490aaf

Observation 1a911f87-ec77-43c7-b4ea-bafbf5bce13c · outbound

This paper cites Motion segmentation by exploiting complementary geometric models,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Motion segmentation by exploiting complementary geometric models,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.405803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.918112Z digest=sha256:e80b7ce07079f146ffca78d796cfc838f247d59186ac47fb73f62807b62282ce

Observation fde926bf-0fbe-41b5-81b1-6ecdeb8f3927 · outbound

This paper cites T-linkage: A continuous relaxation of J- linkage for multi-model fitting,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models T-linkage: A continuous relaxation of J- linkage for multi-model fitting,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.384932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.923808Z digest=sha256:14e45b4e5abb6f8a74b0ddc4b82c4cd4511da4d39b4849f793e0ff09d4475fe2

Observation c91f8ed7-a5c0-44d3-b7cf-2f17b7d66b57 · outbound

This paper cites Structured Sparse Subspace Clustering: A unified optimization framework,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Structured Sparse Subspace Clustering: A unified optimization framework,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.368513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.929049Z digest=sha256:0d6b97ed1ec0cc998bfcdcd2bca61dd877215451d1a67bcd2fe9110adec79ebe

Observation c230e2be-a119-4838-b7ab-652c45644bba · outbound

This paper cites Dense point trajectories by GPU- accelerated large displacement optical flow,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Dense point trajectories by GPU- accelerated large displacement optical flow,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.342637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.934974Z digest=sha256:d9ac47700dff1022360b1afd53f08d69d8656fc4370b60b4a7c3f4adcab41c1d

Observation 8ed7070e-aed9-4864-b9ad-1d6f73e9b16c · outbound

This paper cites Improvements in joint domain-range modeling for background subtraction.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Improvements in joint domain-range modeling for background subtraction

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.316012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.942747Z digest=sha256:2eb4ed0eaf43934de359b1f7e80a9b4b185c7daca1019ccaab81a57b1aec718b

Observation 94974e73-eabb-4649-bde0-a12d1c0e04bd · outbound

This paper cites Background modeling using adaptive pixelwise kernel variances in a hybrid feature space,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Background modeling using adaptive pixelwise kernel variances in a hybrid feature space,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.292549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.948983Z digest=sha256:7fc3bd649faeed1c6b59ab2af8cc0b53b33fb4641ea15ff9462c5421ec53dc95

Observation a364c632-0f39-49f5-8a67-5d4faaff961f · outbound

This paper cites A Detailed Rubric for Motion Segmentation.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models A Detailed Rubric for Motion Segmentation

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:09:51.084101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.957609Z digest=sha256:b7ca2c6af6641cf0da538c0b4ed635bec9fd913b98a3f44430acb27916253aa5

Observation 094c9362-96fd-40dc-8f98-88e270008c21 · outbound

This paper cites A General Framework for Motion Segmenta- tion : Degenerate and Non-degenerate,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models A General Framework for Motion Segmenta- tion : Degenerate and Non-degenerate,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.265814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.964463Z digest=sha256:931fcb2a02b8d37f2aa92a41cb0de6442e2841cf55ff8298cbe1b4d9e35b13d7

Observation 3d4ebce4-7ed6-4dfd-8750-a4eb541fc914 · outbound

This paper cites Shape interaction matrix revisited and robustified: Efficient subspace clustering with corrupted and incomplete data,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Shape interaction matrix revisited and robustified: Efficient subspace clustering with corrupted and incomplete data,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.241189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.974303Z digest=sha256:9d35a98492ceffd71a78ddd0c473d5613c546c27f00175aa273b908d881934ea

Observation 568f5e4b-9b68-405f-b69a-434562746472 · outbound

This paper cites Exploiting unsupervised and supervised constraints for subspace clustering,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Exploiting unsupervised and supervised constraints for subspace clustering,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.214969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.984178Z digest=sha256:e6db07609430df4070fa945d2c32a37696a9a610aa144c6d8f7ccd09404b952b

Observation 1e641f5d-e11b-4416-b1de-06d24cb64867 · outbound

This paper cites Optimization algorithms on subspaces: Revisiting missing data problem in low-rank matrix,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Optimization algorithms on subspaces: Revisiting missing data problem in low-rank matrix,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.179962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.990559Z digest=sha256:323727b1fb66b0a635ac93d1d4e5ad4c0989378c9e7d117913320a4be7533fce

Observation 4d43772d-62f0-4ddf-836e-107d0e79a9a7 · outbound

This paper cites Self-tuning spectral clustering,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Self-tuning spectral clustering,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.160598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:50.996980Z digest=sha256:d58999702de6f1b9ac83c3f43cc000dfe3f0fd97e20836ed53843c03b59e4d06

Observation fd0a71a2-9112-45e5-a88a-1a8f9e68c82b · outbound

This paper cites Hybrid linear modeling via local best-fit flats,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Hybrid linear modeling via local best-fit flats,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.132564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:51.006929Z digest=sha256:5cf331c3fefdc49c35e0d147798c9a453967a550f196af6a1319ce32655fa9bb

Observation db24bf1b-03d4-4ab5-b4f9-38669058607c · outbound

This paper cites Minimal basis facility location for subspace segmentation,.

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models Minimal basis facility location for subspace segmentation,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:09:51.107207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:09:51.014999Z digest=sha256:5a7f8f11bf5f2db611828bb7d67139428ca43c48ec8c7555999ad96a952102cf

Pith citing papers

No inbound Pith citation observations are available.