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Paper Citation Record · LEDGER

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation

As of 10 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2507.07519.

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

pith.paper-citation-record.v1
2507.07519 v1

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:46:32.580628Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

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

87 of 87 outbound references displayed

  • verified exact0
  • verified fuzzy61
  • unresolved26
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07d401b0-2434-4c43-84bd-8f03ff848c69 · outbound

This paper cites 3d face reconstruction and gaze tracking in the hmd for virtual interaction,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation 3d face reconstruction and gaze tracking in the hmd for virtual interaction,

Reference 1

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Observation 0af1c454-7fdf-4d46-bbb6-210cbd272b1b · outbound

This paper cites Real-time visual–inertial slam based on adap- tive keyframe selection for mobile ar applications,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Real-time visual–inertial slam based on adap- tive keyframe selection for mobile ar applications,

Reference 2

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Observation ad1de417-e287-4c3d-911b-e7c3b667ad14 · outbound

This paper cites Learning a multi-view stereo machine,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Learning a multi-view stereo machine,

Reference 3

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Observation bf168f07-632c-4c83-b99f-753afc025e77 · outbound

This paper cites Soft 3d reconstruction for view synthesis,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Soft 3d reconstruction for view synthesis,

Reference 4

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Observation 2cd69a87-56c9-42e0-80f5-d6432da2b3d3 · outbound

This paper cites High-quality streamable free- viewpoint video,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation High-quality streamable free- viewpoint video,

Reference 5

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Observation f9fe905b-89c8-4ca8-b535-6dc8f2b93c81 · outbound

This paper cites Fusion4d: Real-time performance capture of challenging scenes,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Fusion4d: Real-time performance capture of challenging scenes,

Reference 6

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Observation 79b336f7-6cbe-4c5b-b744-085abc319ca7 · outbound

This paper cites V oxel structure-based mesh reconstruction from a 3d point cloud,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation V oxel structure-based mesh reconstruction from a 3d point cloud,

Reference 7

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Observation efeed05e-ae05-480b-ba00-1571e043f683 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 8

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Observation 96cf32c2-8782-4888-a572-48d5b068ee23 · outbound

This paper cites Plenoxels: Radiance fields without neural networks,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Plenoxels: Radiance fields without neural networks,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2d2eab3e-4517-439d-a0db-a36ad13da884 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Instant neural graphics primitives with a multiresolution hash encoding,

Reference 10

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Observation 56bc5043-0f7a-4168-ac23-dfa0c0219f6d · outbound

This paper cites Mip-nerf: A multiscale representation for anti- aliasing neural radiance fields,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Mip-nerf: A multiscale representation for anti- aliasing neural radiance fields,

Reference 11

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Observation db0557b5-cdb5-43cd-bf51-6cefbd30dad9 · outbound

This paper cites Point-nerf: Point-based neural radiance fields,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Point-nerf: Point-based neural radiance fields,

Reference 12

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Observation bcec84e4-5f72-4293-aab2-c47112a8af17 · outbound

This paper cites Sd-nerf: Towards lifelike talking head animation via spatially-adaptive dual-driven nerfs,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Sd-nerf: Towards lifelike talking head animation via spatially-adaptive dual-driven nerfs,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c1becf70-da28-4e89-a1ca-14286bd25e1b · outbound

This paper cites Gaussian Grouping: Segment and Edit Anything in 3D Scenes.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Gaussian Grouping: Segment and Edit Anything in 3D Scenes

Reference 14

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Observation ca1fea87-9bae-48b4-97e0-920950514ca6 · outbound

This paper cites Interactive segmen- tation of radiance fields,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Interactive segmen- tation of radiance fields,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c463cc34-692b-4eff-925f-f77bbeefa426 · outbound

This paper cites Segment anything in 3d with nerfs,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Segment anything in 3d with nerfs,

Reference 16

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4e43e927-2e8b-4629-ab5c-b8755040e353 · outbound

This paper cites Segment Any 3D Gaussians.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Segment Any 3D Gaussians

Reference 17

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Observation e604ce57-baa4-4f8c-a8c6-ec07929902a0 · outbound

This paper cites Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields,

Reference 18

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 20c26774-6077-4299-85e6-ba3216567cf7 · outbound

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

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 19

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Observation 89af14cc-4043-40a8-a450-2aa8b22c9e36 · outbound

This paper cites Geometric back-projection net- work for point cloud classification,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Geometric back-projection net- work for point cloud classification,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ed27850d-9a95-4912-921c-69d1cc4871fb · outbound

This paper cites 3d object segmentation using cross-window point transformer with latent semantic boundary guidance,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation 3d object segmentation using cross-window point transformer with latent semantic boundary guidance,

Reference 21

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raw_fallback, observed 2026-08-06T18:46:42.901623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 85980e35-13cd-496e-b1ba-a7452c7f2002 · outbound

This paper cites Pcl: Point contrast and labeling for weakly supervised point cloud semantic segmentation,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Pcl: Point contrast and labeling for weakly supervised point cloud semantic segmentation,

Reference 22

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:27.088650Z digest=sha256:8f4d00b9500ce3260087ed9d038a1cc749825d809f22e26c948ff0b6992b4f41

Observation 342a0181-0ce3-4ff7-8f69-a25ad58227fd · outbound

This paper cites Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation eccfaf2a-5232-4f72-a68c-ef4ad50a6fe6 · outbound

This paper cites Robust dynamic radiance fields,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Robust dynamic radiance fields,

Reference 24

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7d3dbdfc-7fa1-46ed-b5be-22365c86dd87 · outbound

This paper cites Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis,

Reference 25

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 07daf6e8-8455-4c7e-8bf1-c898ecd6f3b1 · outbound

This paper cites Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction,

Reference 26

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:27.479122Z digest=sha256:683a8ac298507adc8bea8fb77bc9efbe6b3609c9ac801fc8a6557a4b5a874364

Observation e8316ac9-7683-4d55-805c-65e744cb3f24 · outbound

This paper cites Spacetime gaussian feature splatting for real-time dynamic view synthesis,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Spacetime gaussian feature splatting for real-time dynamic view synthesis,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e4b3b567-ec32-4dff-9768-1f2d9420e90c · outbound

This paper cites 4d gaussian splatting for real-time dynamic scene rendering,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation 4d gaussian splatting for real-time dynamic scene rendering,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f3081d13-c84c-4ba8-af0d-ddf0b872dfe2 · outbound

This paper cites How personalized and effective is immersive virtual reality in education? a systematic literature review for the last decade,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation How personalized and effective is immersive virtual reality in education? a systematic literature review for the last decade,

Reference 29

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fe0b3143-50b8-4995-b306-7d5d2971cfa0 · outbound

This paper cites SemanticKITTI: A Dataset for Semantic Scene Under- standing of LiDAR Sequences,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation SemanticKITTI: A Dataset for Semantic Scene Under- standing of LiDAR Sequences,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:27.734671Z digest=sha256:7f4f1615723d6ef52056ae4d8d2c82d5255eccd2d473bd5e1dcf505cf0a31545

Observation 1668646e-9202-4b86-913c-8ed4bf227e27 · outbound

This paper cites Kitti-360: A novel dataset and bench- marks for urban scene understanding in 2d and 3d,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Kitti-360: A novel dataset and bench- marks for urban scene understanding in 2d and 3d,

Reference 31

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f550371c-57a7-41c2-809c-43dca5f4e981 · outbound

This paper cites The ikea asm dataset: Understanding people assembling furniture through actions, objects and pose,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation The ikea asm dataset: Understanding people assembling furniture through actions, objects and pose,

Reference 32

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raw_fallback, observed 2026-08-06T18:46:41.225354Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation edaaaf23-6890-4a83-b166-3c1c29d634de · outbound

This paper cites Hi4d: 4d instance segmentation of close human interaction,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Hi4d: 4d instance segmentation of close human interaction,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fde6c0fb-2ab3-4343-a050-a61a13c0fc34 · outbound

This paper cites 4d temporally coherent light-field video,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation 4d temporally coherent light-field video,

Reference 34

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raw_fallback, observed 2026-08-06T18:46:40.880561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:27.966588Z digest=sha256:4bca9b4a5ee2e354be5becce6c446e4d7fd7caed33881420aada11f588a2e37b

Observation 7912fe05-5aaf-42d4-9711-da5b939e3d7e · outbound

This paper cites Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:28.022600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:28.022600Z digest=sha256:7f479badd7db5b47195245a4e52c902dd9a16692a89976200fffad38d7292447

Observation 7db3727a-b171-4d06-887b-62fc3dd52c5c · outbound

This paper cites Outdoor dynamic 3-d scene reconstruction,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Outdoor dynamic 3-d scene reconstruction,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:40.701832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:28.076732Z digest=sha256:0d753f1688dcc6ea970909f81adb4dcf6d90711fd4b63d1f085b9e9c231990fe

Observation 9e8087f1-4bf2-43b4-807b-75e21abeaea4 · outbound

This paper cites High-quality video view interpolation using a layered representation,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation High-quality video view interpolation using a layered representation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:40.522950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:28.131749Z digest=sha256:ea17a9a9c829abaec5a4bc8924f274317b0a1d37276f5adccd989adbbc4e7ff6

Observation 30c229a1-8e4f-46ea-8c89-9958bd57d116 · outbound

This paper cites Unstructured video-based rendering: Interactive exploration of casually captured videos,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Unstructured video-based rendering: Interactive exploration of casually captured videos,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:40.343700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:28.178951Z digest=sha256:f5aa926175a61d29bf7f92068cd2b24597c2f6bc4dd119f2246fc34ab9539c9e

Observation 204a0056-0c2a-4ab0-be87-9e3cfbf16719 · outbound

This paper cites Mose: A new dataset for video object segmentation in complex scenes,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Mose: A new dataset for video object segmentation in complex scenes,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:40.229065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:28.224785Z digest=sha256:e303ae22407c922cbf84ceba06e23218b63a55a42607e7d3722b2a666bb9432c

Observation 69e3bd55-25e4-47d9-8070-1a61a1a5993b · outbound

This paper cites Video panoptic segmenta- tion,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Video panoptic segmenta- tion,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:40.082009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:28.348490Z digest=sha256:dfefe2a8a45694bd718bb9abcc8e5d2056c7716ce216a0d104565afe3d5b8862

Observation 08116fcb-4a61-4155-8214-90bd89ab2b4d · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Mip-nerf 360: Unbounded anti-aliased neural radiance fields,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:39.913932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:28.442211Z digest=sha256:badab1ed8c898fe880b2200dcee559ba197096c83b07283010e1b1e7c3e41a40

Observation 3dbd895c-7d2b-4f57-80fe-2af9a5551f60 · outbound

This paper cites Tensorf: Tensorial radiance fields,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Tensorf: Tensorial radiance fields,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:39.753332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:28.510960Z digest=sha256:52415770e9c57cb9732140314d30ff9ba856277553ce1726277e723e796b5b40

Observation 179597c7-22a6-4459-84bb-97f6ab3a1ed1 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation 3d gaussian splatting for real-time radiance field rendering,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:39.568609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:28.591138Z digest=sha256:5d2310db0e5a3969a899ba934064d3a8bf7356216ea0ebdec0952004cc512390

Observation 30ee99dd-5cc7-4aa3-91ee-573fa4bff62c · outbound

This paper cites Garfield: Group anything with radiance fields,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Garfield: Group anything with radiance fields,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:39.410385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:28.709496Z digest=sha256:a7ea8e3e3340a4b734d03568d8de21e34483aae7307b023023f55adea14e6c6e

Observation 70515cb1-b16c-475b-b3e2-afe43caaffa2 · outbound

This paper cites Nerfshop: Interactive editing of neural radiance fields,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Nerfshop: Interactive editing of neural radiance fields,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:39.294394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:28.804715Z digest=sha256:52b88fc0d80cf22922be0b74b570eb0fa8555bacb3e3aeece4dcfb9394c1513c

Observation 57aed807-50eb-4995-abd4-20d74c0efc31 · outbound

This paper cites In-place scene labelling and understanding with implicit scene representation,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation In-place scene labelling and understanding with implicit scene representation,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:28.862871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:28.862871Z digest=sha256:3035c1a109c19c1bd703abace292ffc798f7371eb3490fe65363bc0604c7b98d

Observation 89a7c5ad-f6d0-4548-8bae-73d0f72f6187 · outbound

This paper cites Panoptic lifting for 3d scene understanding with neural fields,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Panoptic lifting for 3d scene understanding with neural fields,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:39.102790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:28.934245Z digest=sha256:4dc7bef1aa49a50ea2169ce480009f4d97fdb0e8ecd5fe6dd0ec43ba068d9fa0

Observation 8430ad30-a0a0-468d-9fd0-2eede54429f2 · outbound

This paper cites Panoptic neural fields: A semantic object-aware neural scene representation,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Panoptic neural fields: A semantic object-aware neural scene representation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:38.896741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:29.052768Z digest=sha256:a5cfdaae40d7cf430449c3e980922cebb581eccf3567e6cfa0a1a432f6d84820

Observation e8c3e4a5-b197-4c4e-a615-bf1c75031276 · outbound

This paper cites The Replica Dataset: A Digital Replica of Indoor Spaces.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation The Replica Dataset: A Digital Replica of Indoor Spaces

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:29.126825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:29.126825Z digest=sha256:331a12fb017435acb349801b4533da06d2d552bd693264fdfeb9683f170ee9df

Observation b622ef2a-367c-4113-8b18-a1c59ca03aa0 · outbound

This paper cites Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:29.229055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:29.229055Z digest=sha256:42e86a16a5fb3206d0f3c35c397adcffcf7d899b819d025f1ee010f84ebed539

Observation b2cc18b2-7087-409b-acae-ef404b0aa353 · outbound

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

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:29.299220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:29.299220Z digest=sha256:e3c0153ba0669d375bd61bf49b1e978e832fea559b2b63fdfc22600324f31add

Observation 95aee43a-2983-49bd-aa70-ffaf360b862c · outbound

This paper cites Neural volumetric object selection,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Neural volumetric object selection,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:38.717945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:29.391667Z digest=sha256:76c25a5869f2a0391e470e2e7d15ba3394da00cf41c8bcfdc5d5632bc0580b59

Observation 5257b433-1833-4eb7-86b0-800c6b73e0ec · outbound

This paper cites Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:29.503095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:29.503095Z digest=sha256:46996bd61668cb50841e1fb75bebe0432790cc2969be5f56c1a4989f26a7204e

Observation 2192d84c-d4fc-4005-8ac1-8b42bdd4d268 · outbound

This paper cites Spin-nerf: Multiview segmentation and perceptual inpainting with neural radiance fields,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Spin-nerf: Multiview segmentation and perceptual inpainting with neural radiance fields,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:38.540623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:29.625132Z digest=sha256:847f336fc2c6dde0177aa532da381b721bbeb6ba398cee70dc29b90e39c225a6

Observation b1812b6d-efe1-4369-b297-dfdf1a06adf1 · outbound

This paper cites Fast online object tracking and segmentation: A unifying approach,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Fast online object tracking and segmentation: A unifying approach,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:38.396314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:29.728484Z digest=sha256:4070fd2d113bf0b356cdd33be30e3422898e3153e083d11697c2b1926aab38c0

Observation d425155f-13d9-4b01-92f3-d5f59b377720 · outbound

This paper cites State-aware tracker for real-time video object segmentation,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation State-aware tracker for real-time video object segmentation,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:38.190351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:29.838860Z digest=sha256:19a0eb57592c6f0d408e067f7f92a2424b337b7647d394a119e70c07f5e588e5

Observation 878f600c-66ef-404a-93fb-fca2a46545a9 · outbound

This paper cites Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:38.099096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:29.918942Z digest=sha256:ebdd270d5dd43ec39ac310db88a2c4b5120f179d43b787379b08ee697beb526f

Observation ca3dbf55-8864-4e5f-852d-97a9c1686e95 · outbound

This paper cites Semantic video cnns through representation warping,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Semantic video cnns through representation warping,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:37.957689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:29.989262Z digest=sha256:2da7ecf79ef0af4f8e5eef64d41054b93546dba83061e775618b31f1f7c8a856

Observation 7fb14267-94d1-488e-8a52-18233780cc3f · outbound

This paper cites Video instance segmentation,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Video instance segmentation,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:37.724518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:30.063549Z digest=sha256:50fc308226bd129f55efd4bf4f363f51feb8498f6087637ecd138b014c420f2c

Observation aa754306-eaa1-4cc2-b071-fe0dc481a089 · outbound

This paper cites Vip-deeplab: Learning visual perception with depth-aware video panoptic segmenta- tion,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Vip-deeplab: Learning visual perception with depth-aware video panoptic segmenta- tion,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:37.423444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:30.135537Z digest=sha256:7be32502c65d3b28c74f8134f7034be2d4b0310fc7af72216cf8158d2086923b

Observation 5d8f6630-37b7-4e4d-886a-4f0d048fbc22 · outbound

This paper cites Amanet: Adaptive multi-path aggregation for learning human 2d-3d correspondences,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Amanet: Adaptive multi-path aggregation for learning human 2d-3d correspondences,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:37.153122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:30.198677Z digest=sha256:110408ce12c27433fe3e8377ddce37b2136add2a4a5e8b9d76bd89a1523215f0

Observation 24e5fed9-da88-480f-878d-43e3cc94b69f · outbound

This paper cites Cpi-parser: Integrating causal properties into multiple human parsing,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Cpi-parser: Integrating causal properties into multiple human parsing,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:36.910863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:30.271872Z digest=sha256:636d3ee0468d955983e92e4727b44cbbdb7af4575d5dd9efa4c64f4568ebe2ac

Observation c1418c86-bcc7-43d0-bd4f-20b97b5ed588 · outbound

This paper cites Novel view synthesis of dynamic scenes with globally coherent depths from a monocular camera,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Novel view synthesis of dynamic scenes with globally coherent depths from a monocular camera,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:36.700907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:30.338117Z digest=sha256:742ef67af39c6f21ecb4e94b54deffc3436a69b9a8cb35b7bce2f00d432985e2

Observation b45f6e26-5f48-49f0-9f7d-b8d194eb1144 · outbound

This paper cites Consistent video depth estimation,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Consistent video depth estimation,

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:30.402113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:30.402113Z digest=sha256:e98fadf5cb632a3d87e36055fc81f040346f3a480f93aedb547b0f103c9c28de

Observation 23463e18-6be7-47ad-a189-a1b0966e3e1e · outbound

This paper cites Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:30.475344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:30.475344Z digest=sha256:56f50f75b3189d56387b940f8fd363af009f3e2c40aafa1927026a198b763cfd

Observation 69e6ee0f-c16a-4cde-98b5-08f22881dd2a · outbound

This paper cites Reconstructing 3d human pose by watching humans in the mirror,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Reconstructing 3d human pose by watching humans in the mirror,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:36.546474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:30.543189Z digest=sha256:bccc9aaf7813bdbabb12acafa4d184aa67dafa0ca9f00997fb9ef0d4b6c35c0d

Observation 7de1ab1b-2340-4ef2-9981-d0781d96d844 · outbound

This paper cites Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:36.318692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:30.630962Z digest=sha256:127d3344a6a507d5c1cb8fffa8ddfbdc410381627aaae4aec7a789f4795924c2

Observation f81c3b74-5da0-46be-834e-bddf404e14de · outbound

This paper cites Semantically coherent 4d scene flow of dynamic scenes,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Semantically coherent 4d scene flow of dynamic scenes,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:36.153803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:30.701032Z digest=sha256:9278d6a9aaff251149e5b4e5f70a7f3d003357cff306c208cf011a17fb9154a3

Observation e40e2dce-2915-4ba3-8e6e-6a06893f43a1 · outbound

This paper cites Light field content from 16-camera rig,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Light field content from 16-camera rig,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:35.950604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:30.772608Z digest=sha256:564cc79282504f522dffd348f401fcb0048cee7aa088448e1fcacbe41ac9866f

Observation c6c516f0-751b-4804-8bc9-09339c92f2ef · outbound

This paper cites Barn new natural content proposal for miv,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Barn new natural content proposal for miv,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:35.710371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:30.848624Z digest=sha256:615d0eb84704edf92ac07ff79ba578d8589c24dcc9449c2feffaa6693cac2024

Observation 029f8301-0c46-4949-9873-dc20bbb3e18a · outbound

This paper cites Breakfast new natural content proposal for miv,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Breakfast new natural content proposal for miv,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:35.422121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:30.960858Z digest=sha256:a13ae400fd17012c8e0b80ca34d6546e89ebc6dd8bea8a97c75f7550c85d0374

Observation 96cba481-dd15-4e08-8550-dd7a95bf2858 · outbound

This paper cites Kermit test sequence for windowed 6dof activities,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Kermit test sequence for windowed 6dof activities,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:35.076192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:31.165256Z digest=sha256:ae472365334cfd0d9f9d0541c15f219866425b219536bf38cd3782d2513d96ff

Observation ec8f8301-b85a-4b83-89a1-984b2cb9d639 · outbound

This paper cites [MPEG-I Vi- sual] Natural outdoor test sequences,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation [MPEG-I Vi- sual] Natural outdoor test sequences,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:34.738347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:31.264242Z digest=sha256:70c4b53a0728f82e09427d3800090052c10dfe9b348b646e08ef13f2908a4456

Observation 839a481a-1883-4fda-b390-5b011b39829f · outbound

This paper cites Multiview test video sequences for free navigation exploration obtained using pairs of cameras,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Multiview test video sequences for free navigation exploration obtained using pairs of cameras,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:34.555562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:31.400101Z digest=sha256:1ba93b51959dac7e60941780fc8c504daccd15fb21104585a4fcf810028080d5

Observation d8c8ce20-8215-437e-a248-77f711797e05 · outbound

This paper cites New test sequence for mpeg-i visual,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation New test sequence for mpeg-i visual,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:34.335313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:31.495921Z digest=sha256:4bb7fff13df11f0b2fbf27265b4bbacaf241cedcf42a0fd257f2a329e1f17831

Observation b6b57257-41fa-4492-a134-fc57468b66a5 · outbound

This paper cites [MIV] new natural content - martialarts,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation [MIV] new natural content - martialarts,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:34.127350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:31.558517Z digest=sha256:a150e28b6aa7e0af04e7906d07659234d15d8a5990c809c8929169b06a16e254

Observation 64295959-b985-4a19-b463-21c47adffe47 · outbound

This paper cites Neural 3d video synthesis from multi-view video,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Neural 3d video synthesis from multi-view video,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:33.945088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:31.699711Z digest=sha256:71e122b988da345401c84f6b0a5cec82f19036d1fd85deb8be8aacd63f1fddb6

Observation 05522986-9bcb-4988-bfaf-23e433730f46 · outbound

This paper cites Immersive light field video with a layered mesh representation,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Immersive light field video with a layered mesh representation,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:33.776472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:31.818988Z digest=sha256:0130bbdbfccc9e55faaba4e09264cb9c266bad998f91925e8667fb1cce02b14f

Observation f32e352a-e505-463c-996f-4b07c91f5049 · outbound

This paper cites A multi-view stereoscopic video database with green screen (mtf) for video transition quality- of-experience assessment,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation A multi-view stereoscopic video database with green screen (mtf) for video transition quality- of-experience assessment,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:33.577441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:31.938885Z digest=sha256:1d32a2842bb9a82dd205b57bc292f4976c8181a0ae3b1608e936914fc9d648a7

Observation ccd1abcd-82c6-4782-a43e-566bba1711d6 · outbound

This paper cites Poznan blocks-a multiview video test sequence and camera parameters for free viewpoint television,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Poznan blocks-a multiview video test sequence and camera parameters for free viewpoint television,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:33.397429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:32.031676Z digest=sha256:8d0975c35756dd5df04728817e61a747dc39818b5e64455d951b85533e2a1061

Observation 4ab76870-cf9c-476d-af22-dd12ad6bd8ec · outbound

This paper cites Large-scale video panoptic segmentation in the wild: A benchmark,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Large-scale video panoptic segmentation in the wild: A benchmark,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:33.207215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:32.134967Z digest=sha256:aa1c66bb259489c8aed21db342db4e79a4807fa45f20d2bc080d8f6227ff16fe

Observation 3be5a4ee-43ee-41bc-98e0-15842746e24b · outbound

This paper cites Segment Anything.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Segment Anything

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:32.188959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:32.188959Z digest=sha256:0040354f48d7926cd13d036e520c31e4225a91912b6bcbf4ad840d5105890c16

Observation f8d5eb9c-0630-4cd2-8fb1-df564f42dbe3 · outbound

This paper cites Similarity measures for inter- section of camera view frustums,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Similarity measures for inter- section of camera view frustums,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:33.082214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:32.232898Z digest=sha256:984abf64b79e510e560b1e1accee64edd021ca21a0daa8475bcfc49631620435

Observation 9e380396-924c-4ad8-b24d-3ca546fd61a8 · outbound

This paper cites LightGlue: Local Feature Matching at Light Speed.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation LightGlue: Local Feature Matching at Light Speed

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:32.293030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:32.293030Z digest=sha256:7dbf5d3e0ee1f665c5bdc038b8bc7b2ddb8e4851a092ec27d6076cab9650292c

Observation b49e92a8-1c03-494f-a418-f44cacf30e0a · outbound

This paper cites Scene- generalizable interactive segmentation of radiance fields,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Scene- generalizable interactive segmentation of radiance fields,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:46:32.929170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:46:32.363362Z digest=sha256:2a8e62143325d8fd946e5ff125b2fee934f1f11c35629df6b6963489d72b4e63

Observation bf1520f8-0016-4026-b031-d569fc920cda · outbound

This paper cites Tracking anything with decoupled video segmentation,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Tracking anything with decoupled video segmentation,

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:32.469731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:32.469731Z digest=sha256:1ccb0c59c4269cdfee40f43ff5b6ae43b826dc5bff1b6329af2ebd507542d720

Observation c7e16acb-fb6f-4e02-a9c3-c0a513647dab · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation Emerging properties in self-supervised vision transformers,

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-06T18:46:32.580628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:46:32.580628Z digest=sha256:ba9456c9bde46a2b4e7bbd442278e1b77504fb819a4b8154c9f2cc992a8e8651

Pith citing papers

No inbound Pith citation observations are available.