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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 9 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 2026-08-08T06:32:00.761636+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
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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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raw_fallback, observed 2026-08-06T18:46:43.746375Z

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

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

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:27.966588Z digest=sha256:545dad726ea8e5d14b1139bf8c1015277cc5691fa81ad5636d3ad2dfb34a499d

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=sha256:5c08271ea335d1f6c6ed424915a9e665fb65b8b67477d533a048d57cb3184cac

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:28.076732Z digest=sha256:95a577d1a055208fc9f0b826a7ade8d76dd6f69378b4abbb29b2426419cb256a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:28.131749Z digest=sha256:560be93bea4ce8e0c6fbc2c4487786aa1dc3b473d0155eceb34d89b75141b86a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:28.178951Z digest=sha256:1d2a1a3df356e765d4f6c7fc9b2c605fe5b5d4a52b69063c25f8b0853f1f2313

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:28.224785Z digest=sha256:457a776b2567e8962f0a3a68ddd93d409b6e298191af8cc359dd2a07a8a093db

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:28.348490Z digest=sha256:6860945ee4b3e9942fb690b1fd9b8a134d7e558a3d233e3214526330b488b5ea

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:28.442211Z digest=sha256:6b4eb0f5d3001b04a38155246cf466f5c294460d2247eed6407de8f1bff87564

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:28.510960Z digest=sha256:1c855af510cf9f06dca11390d7f36ca24482c889a64165de1c6ae21db11dff4a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:28.591138Z digest=sha256:f822c2d189f703167ccc8d1de687b3ffb5b7842f5d33ffad102d90fa9e3f58bf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:28.709496Z digest=sha256:64a50a885c7273e1f2ae93775f38592c503255f740b0a0e43f418d555ba29fee

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:28.804715Z digest=sha256:b6f2661de0cdbc64bf170c744c697091b5d0b24ce384fc61c5f96787e2727c61

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=sha256:3aebe9c603fd712b5c00c71a4fb6d1c662d3d1336945887b3b46e573433110d5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:28.934245Z digest=sha256:21e90819ad6f5bfa21c1902fba0d0cc5237899edd08f477ad37488282cac6f35

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:29.052768Z digest=sha256:3ca17e77877be5f41ee28c3d46c4c2ba335d4968e587fb362d390215e180e1bd

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=sha256:24c669e34cbafbb9abdae2fbcfdda8ac3aacb74ba0575de569e7ac689295a8f8

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=sha256:9faaab6905a116bdb15b51c6cc156ab3b7d72de74c662dac2830e386595e960c

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:d1fa338b55081910a30c1fa8dd655e84f4a951fa2a251566a5a90544b8e70294

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:29.391667Z digest=sha256:dd315a09da98a5764573f7b21c7fc86180d1644dcc3e49d7eca1c903e3cf709f

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=sha256:0f43e094fab231d9fc72e87f718ff8af49eb0915d1c0bbe852e28749a208d05f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:29.625132Z digest=sha256:ef72d5297a9598eba0147dcf3d17a60fb83b2d46ec630aa9ca79edfab3d7c6e6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:29.728484Z digest=sha256:743fe5edd9bfb10e13dd20d55e36b2d27c387e442827fb88a4e4c8dfeab22977

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:29.838860Z digest=sha256:9910db437f2e710cbbc2ffbc0b16bd11b5d8cdbd58708f663c8243b5e798c275

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:29.918942Z digest=sha256:754c59df68244f6b60fcd0c0876d98d9ac7a30658fea90addbf500ee0c3fd0e5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:29.989262Z digest=sha256:ffb3ce29c6111eca3ed5aab1f8ee08a1f1403c93559179be22018d0a732127e8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:30.063549Z digest=sha256:53bbc0b6ac62240b58962c2c41d45b9857b18801835a8fefbda0bfc5793c73d5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:30.135537Z digest=sha256:bd6ea49150cf2d541f44caa9a859dbd3c1a866a02bf83632b5c053f11d4a4e58

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:30.198677Z digest=sha256:579216b1ddaa56f967ce07daf9e00e44e89f3395bcc9a018c571c5080e0cab5d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:30.271872Z digest=sha256:d8a267df0d55c19d52d0da67e42d43420c85bdee21ac5fcc1856a7a4cbbf41da

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:30.338117Z digest=sha256:914f04766e53fd3f3a9a28e0ee5602ad75d411325183647b68516b44c3ce6194

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=sha256:49693238c245d18311e6172f98de8948fc8b516f413f4f6c8503ed43145effb6

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:ce94db1cf134ce925d1443d3ef7ffb9a23b2afafcaa7109790898664a370226f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:30.543189Z digest=sha256:415cdb111d3640e5514a99a6fb027ddded747af506be457cedf555c8f1edfe09

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:30.630962Z digest=sha256:52623d669ad9002277341c56a94eb3add1dcda4101aa69a15e9ed68a3dccefdc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:30.701032Z digest=sha256:d671b5fd05f22a86cd3d78f3b28b9ac482a8fe6288c79be5c4b01b2c76c646b7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:30.772608Z digest=sha256:ff99aa320c1cf01c1500ac2ed4d0333301651fd514a5954a626cd068148ef6c7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:30.848624Z digest=sha256:040371de53bfa017fa0813a12d92ef76057b2399cdda4bb683c7e1aa62d5fc85

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:30.960858Z digest=sha256:7e8a307a8c4f65541611bb62c141e0b4290825351d746e21e53fc91573d4eb89

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:31.165256Z digest=sha256:847b9f9430de572b707ff06a8497e4c9544e9cd4e3e175ab0c4f3ff51614e064

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:31.264242Z digest=sha256:be3c7741cb949671b6c701298e92ad09754903cd70114d4dbfd8d8a2162aaa4f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:31.400101Z digest=sha256:e8a8c3b8231c6b361b8185a3409e08b137cb8d5751db3c4d198e18abcb51a71e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:31.495921Z digest=sha256:6bdde531047f78a5f15a9ea29a9be438a403ebc88a6400bd5a7ef0e1b067e0ba

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:31.558517Z digest=sha256:0051fe66362fa059e6ac0728b3353910ae126f33472ec4df413ec953346c6399

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:31.699711Z digest=sha256:8fb020e0aa0be3e27f824dd5f649913e88a3a9db8a048e48afdad50bb9a55f6d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:31.818988Z digest=sha256:274f44ac985b42301aab2b87c19e09be5d05e96f3bf3a3393323ab79c4a1ccf3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:31.938885Z digest=sha256:b9838762828d039adc54fdc3fe1a861b0f48963026f08ba41de83d3c4c6ee396

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:32.031676Z digest=sha256:5b2bd1b0815d2137f7e6058d2eb90e53e18747f6481e2d0c7fcdfb9d837e2378

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:32.134967Z digest=sha256:bc2c15d921acf86139dc377fb7e098a5e10823221f11f2d73ffb89bdda05f353

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:e6bd1b53f200c3cf9ee865ed1da1482f3b6e0baad7f313da7a9222bc303248ea

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:32.232898Z digest=sha256:9ac3033390e0d5bd17cef8d42c7171fd245296a22d9c77953737bd34a8ca994a

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=sha256:11fb622dfb86a7a3e6abac21c5b00dd8c841a8d1599d9618261952a300470443

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:46:32.363362Z digest=sha256:d4ea69b5577cf381dc076a31382e988696c1c96dfcbbebf6ca9c1f8bed8bc007

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=sha256:6fe1e8d74abf78ea9dc5bd7c99fff03b4a2ccd9efa8617a4c7073f84016eb295

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=sha256:83f9117ab89fe6b8f9ff4f86cf327d1611b261b9752386664854db12fc247179

Pith citing papers

No inbound Pith citation observations are available.