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Paper Citation Record · LEDGER

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

As of 12 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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:05f149ee4cde73af773f90b79598b0bb523c63ce9de0ef0a666502ae5c6c0d63

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:8fa33c95ae9420599b3cf44a19d693ad3287683854c0d5c4292a1928f1d41ef0

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:648cd709bbfab90ca6945496527b625ae219d6e4e997e0438feab77bce4146ef

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:ef09a3836809f7219a11be45a2ba4f4d9400dca891c0a5849556399ae40078de

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:544761fdbd4e24c6df8d496acea91390c019f10a65abf6d8b6c15a565f1e770f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:6f0cbed33c7b19230b499a2cab51c99e364456496f627561113b6e2961e6534b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:accc4ce0b124bdf7135781fb4e8458db1142da867c0aa855e2c3a94bbefd829b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:d03890a119af46ca0a6d1c1dfe7010996812a1ee2f5af353118d4d38c0ff5373

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:9b97c028ced360f96dc2fd8d8a37a2cdf986e750a86671fd9d216b164413aa76

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:ccc01cbf3d90184066750358634f9e88c16f8defdfb687d4ef7adf385fc06bdb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:8befe8fb12fa6822bb41b026e13380136c45ea8b4751be0da665beab2037090d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:2a5804283dc1680a62d58ddb5e977f86441f233bcd3c8449c3c3931a6eaef0bf

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:6950c09609473efd9a3e620f23eabc2147d44c091426753565c98151b051540a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:5986af255c082379f002238104355e569072efa21b9aa61351c294830e4ffd8e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:ba3698c0f1ecd7f804b7d2e415a507939f9d10711fe608872912d29dbedb52e6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:e20cf88b2e515de60720f38876516e8dad288277ba588f7e1843429e7389ee27

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:6c7ea8403164713398fe13b19bc86c9a7c7b240f88ac2e9c7cc058dfdbebd23f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:cbd64553781d4baedf0301ad92c02811d8062e1b94f4ffe8728aa85dfca428e2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:d5295368323a69d869569f2f0a0be4dca202d7a842445ae6bf74777c2e4b1c13

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:cf0af8a539fa67f7f7890a9be21bf46b32d6688a1a926979c34161a4f9b72aac

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:7d4c8c2a05f1dae781c13a64d1c64aa627f815f19c1ba5550bb002f5190a879f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:d53b8604dfcef784d02883a94764066630a54f3202819805858b52a0a417616b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:5be2b37bfcfe750e184720a96c68a94e635f6df20beddfd64bd1cdff0ed78cc5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:1bbc8d9f364820f2354e725f991577f4cb7a97502bf64c9237a3109cc8dae3d5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:e0d60f850039ca8e1c0da0e65a7385c8df7ae68beb9f6ebb46e2147160d188ea

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:66b8b75c7fab18b90ba4f31b79d61358e4c69fb54fb25eaa1cb609e056acfbf5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:7e2def7d52e63d4d65cf5752c117d1d386e6135038295b04e174d3f8c686c4e6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:50409d92183bf975d176db66835e2e2e25bf7f25f07ed9e4672e53c0d1a172ac

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:62cbda9f2745d0c9cb717ec688deed99d1d34d6bcbafa2a5c37ebb68c4c86a18

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:6f9ab4d82a5eb2f416fd97a3635820d61e5093f3f0fbd21205cde751e59b6500

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:044964a401c25ef5394a3cff8cae1156b82f9ca85a0b240392898b169cf47f7f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:dac47d0307b4c18e442f9597ed73bc6a7182aa79ed21df68ae5278c7799132a3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:ea80483d8a0c8a402d21fd9e8423d5007c5237f5bcfef7a2413077fd31ead0c1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:72e0500ec2e8a44cf4f59d49d531d594b8032933c3b981831750b61a900384ef

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:cbf495856213e0c7beb4da05f4eaa2f24cbbf8d86bf42297a79bbd3ee64e7922

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:4b52deb83d8a07ebddd050a79aab3dde4d73e7903d2228b6c12eb62d8977ac22

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:dcc8a2d0ea3d22050c7e21478e5c1523a4b250e60721cd283c6468012a6fc762

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:652e5f7b87ff87123e63b73356dcd3d9206b8a485fd2c8727147864a321fe867

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:df0e289789dc8f1e64f7250379dd741b4e3d6a65975fbe76977b78764cf44f64

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:715787ef397f957ceeb135b78e31404185bbd4164299b1660c87b8d90b522cf6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:7848fd60e1724aa754c1ad90e9042e56792c7506308bca1830abbff88e3a5ad8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:6e2db85c0bc809d2f03cf7051423d7478dfe215b4dc2111ffb3733e93ce1e311

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T06:20:30.906148Z digest=sha256:b85a94196de7f561ab8e8eba57376988f7bc2ed873a6613288f8fe269144632b

Pith citing papers

No inbound Pith citation observations are available.