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Paper Citation Record · LEDGER

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2605.13854.

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

pith.paper-citation-record.v1
2605.13854 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T06:20:30.906148Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

43 of 43 outbound references displayed

  • verified exact3
  • verified fuzzy38
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be43dc4c-6e16-41fe-a1cc-7390edc721e0 · outbound

This paper cites Dycrowd: Towards dynamic crowd reconstruction from a large-scene video.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Dycrowd: Towards dynamic crowd reconstruction from a large-scene video

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.044751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:e804bb9e7132e917d609a42b2ae4f9c30ecc164ff4e010c76984970daaf19063

Observation 32354947-6596-4c03-aa77-a260bb714d88 · outbound

This paper cites Crowd3d: Towards hundreds of people reconstruction from a single image.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Crowd3d: Towards hundreds of people reconstruction from a single image

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.068678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:0a0e42736e06ad7dc0defb1014ebc615eeb0ea8ce6da0165778c4a5ef34a94f1

Observation 15a14c3a-ef30-4bde-b9cd-c14816ba73d3 · outbound

This paper cites Reconstructing groups of people with hypergraph relational reasoning.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Reconstructing groups of people with hypergraph relational reasoning

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.049487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:96ce0927f7d21c4a5e2fd375e1e572bdbb923d1e057fd88721d084da6cf34b9b

Observation 12177e43-5f97-4487-95d1-fc7698a4b57a · outbound

This paper cites Closely interactive human reconstruction with proxemics and physics-guided adaption.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Closely interactive human reconstruction with proxemics and physics-guided adaption

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.059500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:aee43fd4e17f69258f8a4c492d7392c7314e64368ca02d15ff67032bc5a8e765

Observation 3050c237-608b-435c-b10f-550214372ce6 · outbound

This paper cites Reconstructing close human interaction with appearance and proxemics reasoning.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Reconstructing close human interaction with appearance and proxemics reasoning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.972171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:d551eed18e275b609a7c7770a530f78d51eadc7f50fb25ad678da20c1dbc39e8

Observation 3e4698dc-9068-49ed-823c-9d525f52201b · outbound

This paper cites Object-occluded human shape and pose estimation with probabilistic latent consistency.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Object-occluded human shape and pose estimation with probabilistic latent consistency

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.039886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:28eae78917f1131099ac355d6dcfe60e26a1e5a9e9a06ad3f1374126125d7d3e

Observation 7d607656-589f-42c7-8654-9c594863252e · outbound

This paper cites Putting people in their place: Monocular regression of 3d people in depth.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Putting people in their place: Monocular regression of 3d people in depth

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.030593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:53572abbd786dbb48c8da99551b46022b5947484ca94d9d9a6ae74f1d1a88246

Observation 2bc469ef-72a7-40ea-a854-1d437c24accb · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Depth anything: Unleashing the power of large-scale unlabeled data

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.093072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:8dfe6e6af16a609003122c9e9b6cb7ac12da8c3c7869e076aaeb4d976f3a3514

Observation 98d87b8d-fd62-48bc-ae98-762f693908a1 · outbound

This paper cites Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:25:07.866826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:45a5d27da48e149d188a3e4fd2b2ae837b36e5fcf5437b6542243c570c2a8ffd

Observation 05c2fe8a-c101-4ceb-8ea8-f35bb03b9573 · outbound

This paper cites Score-guided diffusion for 3d human recovery.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Score-guided diffusion for 3d human recovery

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.021279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:11bb1c838143fb41c8262b5b119a3ed4a50275e8632bfc84b249bfa441be212c

Observation 5eb40dd5-b9ac-4b56-869f-cf8a6a0882a3 · outbound

This paper cites Monocular, one-stage, regression of multiple 3d people.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Monocular, one-stage, regression of multiple 3d people

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.080395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:203310adfa7897b01f676df1a92a55b5aeec2a7d562813a3bc2cc3b3a3be12e4

Observation 2fcb52d8-939d-431a-8bf0-27a543a3483d · outbound

This paper cites Futr3d: A unified sensor fusion framework for 3d detection.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Futr3d: A unified sensor fusion framework for 3d detection

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.076162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:537bbaa0956bd985f3526c863c40a5ccc1e7a3fe6bc746cc71593652d4615400

Observation 7be36230-3513-4a8a-bbf8-e6b5828f50e8 · outbound

This paper cites Immfusion: Robust mmwave-rgb fusion for 3d human body reconstruction in all weather conditions.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Immfusion: Robust mmwave-rgb fusion for 3d human body reconstruction in all weather conditions

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.016032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:2d0312d4a810b2b9aea20cee1d2c42b9448ccd90273df4a6360e4929bc7cce0e

Observation 08f0e44b-8675-46d5-80b3-3373f95bd0d4 · outbound

This paper cites Hypergraph neural networks.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Hypergraph neural networks

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.025525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:e7cd4477f5d864d30f766679b407c1db689594adf8e92ebe5d121a99e86750a8

Observation d60baf06-28d3-4b92-a731-d5449dfda5a7 · outbound

This paper cites Openpose: Realtime multi-person 2d pose estimation using part affinity fields.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Openpose: Realtime multi-person 2d pose estimation using part affinity fields

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.035148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:faa1131379027b0bdc2edd087973300ee9c6279fd49855cdfc68c018a6646424

Observation 8a637aae-4292-441b-a737-37b703714611 · outbound

This paper cites Pixels to Graphs by Associative Embedding.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Pixels to Graphs by Associative Embedding

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-15T06:25:07.859078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:1ffe7135ed117c1de2de6d22b0cf7ea9e4772b6d22e13b8dc455d94e212b0bc3

Observation 49d1fa59-84ea-4ae5-8b50-75f546f6e6c9 · outbound

This paper cites Camera distance-aware top- down approach for 3d multi-person pose estimation from a single rgb image.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Camera distance-aware top- down approach for 3d multi-person pose estimation from a single rgb image

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.097568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:ac6d1ff8d1cdd6c32fd9f6938fa44d4140c90a0dc8618a4933fc04810d991441

Observation 11dbc28f-3df8-4406-92c4-869863ff8fe2 · outbound

This paper cites Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.064120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:649c5905ae5099d04f3c0fbbe42617b6da2d314a0470b1308310790a4a8b622a

Observation ad3c3a37-3006-444b-bb62-afc9ce2331ae · outbound

This paper cites Multi-agent dynamic relational reasoning for social robot navigation.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Multi-agent dynamic relational reasoning for social robot navigation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.084921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:27471de6f17e6bf09b9c305edd2b8e263ccc5c721c63cd50d2672815d29752a7

Observation eb5b753d-7151-4838-9406-6079a6209c29 · outbound

This paper cites Hypergraph based human mesh hierarchical representation and reconstruction from a single image.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Hypergraph based human mesh hierarchical representation and reconstruction from a single image

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.088982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:d5af124b3c72dbc2c54c3683776034dec275360eb7078e163fcb8d6411d0646c

Observation 03b4940b-2f18-4960-8dcc-e1948a07919e · outbound

This paper cites Deep social grouping network for large scenes with multiple subjects.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Deep social grouping network for large scenes with multiple subjects

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.054182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:1989fc72ecac5a98e29616cfc56876ed50e5ceaeb6458906371518f3cc1d80b4

Observation 1b4e0821-fc3e-4d64-9558-f731eabdd0a3 · outbound

This paper cites Cliff: Carrying location information in full frames into human pose and shape estimation.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Cliff: Carrying location information in full frames into human pose and shape estimation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.994252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:b98ddd0dc60add02c0888ca231d902480a62188e0177d5ca3eaa84b2d3ebab7a

Observation 316fac00-4133-4e38-9ad1-9de1eae50d43 · outbound

This paper cites Microsoft coco: Common objects in context.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Microsoft coco: Common objects in context

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.006726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:c3542ff43e64e06bf035e440f58657d2a046f30d6a7254e6989ecab277f1c3f2

Observation d2634164-3a36-4418-b086-92def636f3cb · outbound

This paper cites 2d human pose estimation: New benchmark and state of the art analysis.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery 2d human pose estimation: New benchmark and state of the art analysis

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.002380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:6cf22ec8a7b45fe3eb5d90a769b937cccf6745935c402f8f5c7847bc6557936a

Observation 9a651eff-483b-4133-835b-a94cb14cbea7 · outbound

This paper cites Panoptic studio: A massively multiview system for social motion capture.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Panoptic studio: A massively multiview system for social motion capture

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.989505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:dce682ef17e1605e2337f65b53a2e191ccbfc463739edcc68fb1e8b5901d5a32

Observation cb5b052e-b62e-4a4b-b22c-93e629e69bd9 · outbound

This paper cites Crowdpose: Efficient crowded scenes pose estimation and a new benchmark.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Crowdpose: Efficient crowded scenes pose estimation and a new benchmark

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.998382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:278ad87e0fb4422d6dcdc5eb12198556dcec2151410c9daa701f1c89a3df2a24

Observation e6ce4929-afc0-40ae-b46d-065bbf3d7b45 · outbound

This paper cites Monocular 3d pose and shape estimation of multiple people in natural scenes: The importance of multiple scene constraints.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Monocular 3d pose and shape estimation of multiple people in natural scenes: The importance of multiple scene constraints

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.976630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:801e4373396ad55b6c55b3859385210f28861a6026d799374ab82d9ac234ed23

Observation 41c6e4fe-fa33-4c62-9893-d93162a83070 · outbound

This paper cites Deep network for the integrated 3d sensing of multiple people in natural images.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Deep network for the integrated 3d sensing of multiple people in natural images

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.950742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:5c65f34fb63bc053e06bc8adb610a4e88bf8a5341df3758daa86966a61f6b0cb

Observation 0ae17c21-df32-4480-a6a2-51fc3135e81b · outbound

This paper cites Coherent reconstruction of multiple humans from a single image.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Coherent reconstruction of multiple humans from a single image

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.954982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:c9fa29b77eecc9f1efe81ae19acac8dd076e5c8cc4523f3108910b1e61ecf802

Observation 78a777a2-24da-4e7a-b575-42d67edc11d0 · outbound

This paper cites Body meshes as points.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Body meshes as points

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.963565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:3f351d1f7ab7a09effb48bfcdf24e6ccb9e530e4d692050443cd3080022e216e

Observation 9ebb1a55-c224-4f23-a555-3bf0e3903d69 · outbound

This paper cites Pose2uv: Single-shot multiperson mesh recovery with deep uv prior.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Pose2uv: Single-shot multiperson mesh recovery with deep uv prior

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.984868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:67d954f5959cf01458096ac2f7202e3df68f30f0bdada9d934c13439c8c51d34

Observation 376258f8-eac2-4be4-826e-440b5d768319 · outbound

This paper cites Learning to estimate robust 3d human mesh from in-the-wild crowded scenes.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Learning to estimate robust 3d human mesh from in-the-wild crowded scenes

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.937345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:f7ef2a1a0cb1b653beebc59cd921f28179d96bed19713ffec33e8a53d97e72a4

Observation 0fa84d33-0275-46bb-bb99-ed320ce0a3dc · outbound

This paper cites Scene-aware 3d multi-human motion capture from a single camera.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Scene-aware 3d multi-human motion capture from a single camera

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.946535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:af944637a886f1c1562630bf5d055a7f6e1cec8cbe547cacad5d9bc9311e9097

Observation ee3d5777-3c9e-4df9-a333-98c30dd7d3a9 · outbound

This paper cites Smap: Single-shot multi-person absolute 3d pose estimation.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Smap: Single-shot multi-person absolute 3d pose estimation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.980704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:277be08fe9f0a6f1b3c4db4a7e31ba2f19bb2c2e19c4f6d3ef01d3bb74779652

Observation b435adaf-5d28-470f-9f6b-f842c679eb7d · outbound

This paper cites Sat-hmr: Real-time multi-person 3d mesh estimation via scale-adaptive tokens.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Sat-hmr: Real-time multi-person 3d mesh estimation via scale-adaptive tokens

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.967985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:2ec1ed91a5901831a0f0e4cf8c7cc7e2013c97e0232d235a3e5fd3b80b7cc0b2

Observation 560ef4dd-93bb-40fc-8f23-23ccd6f55c3b · outbound

This paper cites Crowdrec: 3d crowd reconstruction from single color images.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Crowdrec: 3d crowd reconstruction from single color images

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.932515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:bf6846f590e543d378dcef645e438da2a699352dc0f619a966a4eaf086070058

Observation a7ee61fd-91b7-4c2e-ba2b-4d86c8657ed0 · outbound

This paper cites Specif- ically, we provide quantitative evaluations on crowd-level spatial metrics and qualitative visualizations to demonstrate step-by-step improvements of our CoMHR framework.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Specif- ically, we provide quantitative evaluations on crowd-level spatial metrics and qualitative visualizations to demonstrate step-by-step improvements of our CoMHR framework

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:25:07.863290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:332dedca4b60ce1d7cf2ec7f006d49e4d1fee2d53960729dbaa65c8cd6abe245

Observation d885346d-39ad-4a83-b7dc-513999602624 · outbound

This paper cites 6 shows three representative examples from the CrowdPose dataset, which is known for its crowded scenes, frequent inter-person occlusions, and challenging pose variations.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery 6 shows three representative examples from the CrowdPose dataset, which is known for its crowded scenes, frequent inter-person occlusions, and challenging pose variations

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.942163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:04171fd3d9783e74541338423331047bade3f7a23e3d30053df1e88cf5015bf5

Observation 17defa4b-f9f4-49f3-a95f-dce7b896ba6b · outbound

This paper cites an unresolved cited work.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-15T06:25:09.101945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:77cf5d66817e353c3ed179e71fe305bf5e840a265382bdaf70f0988f893db095

Observation b01137bd-dd87-46a7-b3b3-a5f26ea94c72 · outbound

This paper cites Environmental Degradation.We tested the model’s resis- tance to severe environmental noise on the Panoptic dataset (Baseline MPJPE = 104.18 mm).

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Environmental Degradation.We tested the model’s resis- tance to severe environmental noise on the Panoptic dataset (Baseline MPJPE = 104.18 mm)

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.959337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:2de939f002bae5da83e65f4f6960d6fe412a7c08abcba4cf63d0110fe459c13d

Observation 73119048-98d0-49b0-8465-9c329f41fdf4 · outbound

This paper cites On a single NVIDIA RTX 4090 GPU, our full relation reasoning stage takes approximately 28 ms per frame for standard groups (6-16 individuals).

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery On a single NVIDIA RTX 4090 GPU, our full relation reasoning stage takes approximately 28 ms per frame for standard groups (6-16 individuals)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:08.926712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:ba0256b237f6be993764d0ee339f537a95dd2d92768bffd713846bfec16b17be

Observation 963a002b-a9ac-405d-9518-badffd8e9a21 · outbound

This paper cites For instance, foreground truncation and sensor contamination increase the error by merely 2.41 mm and 1.18 mm, respectively.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery For instance, foreground truncation and sensor contamination increase the error by merely 2.41 mm and 1.18 mm, respectively

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T06:25:09.011686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:b5fe375ad35891ef570928127ebb8ce83c7e592a9f685ed764636b0652b41f5d

Observation ace72428-b869-469b-ba2d-7b1df8b48d85 · outbound

This paper cites an unresolved cited work.

Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-05-15T06:25:09.072528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:41f84a4c78693f729215d489d12c174ec1fd5015e5c0d42ec9a3bffade6528ef

Pith citing papers

No inbound Pith citation observations are available.