Paper Citation Record · LEDGER

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation

As of 16 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:1908.07172.

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

pith.paper-citation-record.v1
1908.07172 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:27:40.449590Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

39 of 39 outbound references displayed

verified exact1
verified fuzzy32
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e3eb56c-1531-4658-9da5-5e139faf8312 · outbound

This paper cites an unresolved cited work.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:27:41.045198Z

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Observation 222d02b8-ad38-488a-89e3-c9a34a8b22fc · outbound

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

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation 2d human pose estimation: New benchmark and state of the art analysis

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:41.028842Z

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Observation afa97c10-dfff-467c-bc3f-887dbd549fcc · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 3

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This paper cites Keep it smpl: Automatic estimation of 3D human pose and shape from a single image.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Keep it smpl: Automatic estimation of 3D human pose and shape from a single image

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:41.007464Z

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Observation 126d0cd4-dcbb-4af9-82ee-7b109aca5fbf · outbound

This paper cites Learning 3d hu- man pose from structure and motion.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Learning 3d hu- man pose from structure and motion

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.985781Z

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Observation ecdbb7ca-eb2a-44ce-ab2e-26dfd4af718a · outbound

This paper cites Towards multi-pose guided virtual try-on network.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Towards multi-pose guided virtual try-on network

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.968735Z

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Observation 7dcc2ad4-8f8e-459c-9b69-3a57fe5a9ed8 · outbound

This paper cites Flow-navigated warping gan for video virtual try-on.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Flow-navigated warping gan for video virtual try-on

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.954739Z

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Observation 927c191a-0f2b-4922-906f-84ff9088a817 · outbound

This paper cites Self-supervised video representation learn- ing with odd-one-out networks.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Self-supervised video representation learn- ing with odd-one-out networks

Reference 8

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Observation 8d566b17-325f-4033-9d06-278f0494b9bc · outbound

This paper cites Learning bi- linear models for two-factor problems in vision.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Learning bi- linear models for two-factor problems in vision

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.920175Z

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Observation 44edebe6-5eae-478b-b119-dd76f5bb25fa · outbound

This paper cites Devnet: A deep event network for mul- timedia event detection and evidence recounting.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Devnet: A deep event network for mul- timedia event detection and evidence recounting

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.902228Z

Source-reported events for the cited work

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Observation 78279242-4ebb-4073-9c09-30d1d51f5ec5 · outbound

This paper cites Recognizing an action using its name: A knowledge-based approach.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Recognizing an action using its name: A knowledge-based approach

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.888048Z

Source-reported events for the cited work

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Observation d2edaddd-0a52-48b6-ba70-db78dee3caf9 · outbound

This paper cites Deep residual learning for image recognition.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Deep residual learning for image recognition

Reference 12

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Source-reported events for the cited work

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Observation 73745829-7ec8-44cb-877c-75260bfffd93 · outbound

This paper cites Exploiting temporal information for 3d human pose estimation.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Exploiting temporal information for 3d human pose estimation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.859784Z

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Observation fb38cb07-8e8d-4110-aa15-9308c056d491 · outbound

This paper cites Clustered pose and nonlinear appearance models for human pose estimation.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Clustered pose and nonlinear appearance models for human pose estimation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.845113Z

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Observation a4fb329c-76ae-404b-acbd-f200f15a2d4b · outbound

This paper cites Black, David W.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Black, David W

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.831515Z

Source-reported events for the cited work

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Observation 9255e110-fa0e-4275-80e5-67e43b002564 · outbound

This paper cites Learning 3d human dynamics from video.IEEE Con- ference on Computer Vision and Pattern Recognition, CVPR, 2019.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Learning 3d human dynamics from video.IEEE Con- ference on Computer Vision and Pattern Recognition, CVPR, 2019

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.819541Z

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Observation 69b69567-3d35-4e9c-9b6a-d7c9cbec100f · outbound

This paper cites Unite the peo- ple: Closing the loop between 3d and 2d human representa- tions.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Unite the peo- ple: Closing the loop between 3d and 2d human representa- tions

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.808231Z

Source-reported events for the cited work

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Observation 99696959-bf93-423e-8f1b-761f2c2bddaf · outbound

This paper cites Unsupervised representation learning by sort- ing sequences.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Unsupervised representation learning by sort- ing sequences

Reference 18

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Observation e56466d9-ce0b-4d64-b489-87b8de276e58 · outbound

This paper cites T-c3d: Temporal convolutional 3d network for real- time action recognition.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation T-c3d: Temporal convolutional 3d network for real- time action recognition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.785101Z

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Observation dadcd37f-8afc-4be3-a796-d6d428e8c6a8 · outbound

This paper cites Accurate estimation of human body orientation from rgb-d sensors.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Accurate estimation of human body orientation from rgb-d sensors

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.772154Z

Source-reported events for the cited work

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Observation cbf567b8-9093-4e1d-be5f-d46856a52f30 · outbound

This paper cites Mosh: Motion and shape capture from sparse markers.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Mosh: Motion and shape capture from sparse markers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.760863Z

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Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Unresolved cited work

Reference 22

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Observation 19b9196d-f8f2-446a-aeaf-91f72b060576 · outbound

This paper cites A progressive search paradigm for the internet of things.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation A progressive search paradigm for the internet of things

Reference 23

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Observation ead2fe08-2137-427b-9486-f9f6bc82c729 · outbound

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Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Unresolved cited work

Reference 24

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Observation 3ce8de19-5ac5-40e4-8d93-85bc76237a06 · outbound

This paper cites Shuf- ﬂe and learn: unsupervised learning using temporal order veriﬁcation.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Shuf- ﬂe and learn: unsupervised learning using temporal order veriﬁcation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.715421Z

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Observation 0b537451-0966-47d8-8b40-2c551639ed69 · outbound

This paper cites Neural body ﬁtting: Unifying deep learning and model based human pose and shape es- timation.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Neural body ﬁtting: Unifying deep learning and model based human pose and shape es- timation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.701961Z

Source-reported events for the cited work

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Observation 09dd4fb1-0640-41e3-8e39-ab0948b8ec98 · outbound

This paper cites Learning to estimate 3D human pose and shape from a single color image.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Learning to estimate 3D human pose and shape from a single color image

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.688538Z

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Observation 1228dcc4-ffa2-4b4b-b04a-45299b0f2de3 · outbound

This paper cites 3D human pose estimation in video with temporal convolutions and semi-supervised training.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation 3D human pose estimation in video with temporal convolutions and semi-supervised training

Reference 28

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Observation 161c7edc-24c7-4ad0-9743-4b9a6255393e · outbound

This paper cites Sfv: Reinforcement learning of physical skills from videos.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Sfv: Reinforcement learning of physical skills from videos

Reference 29

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Observation e7fd8d8d-ab84-4725-b173-049a0c80854d · outbound

This paper cites Self- supervised learning of pose embeddings from spatiotempo- ral relations in videos.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Self- supervised learning of pose embeddings from spatiotempo- ral relations in videos

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.658725Z

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Observation b865b4ae-8fe8-4085-a6f3-dfc84625f211 · outbound

This paper cites Integral human pose regression.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Integral human pose regression

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.640786Z

Source-reported events for the cited work

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Observation 27774a65-340d-478b-9f3b-c78ab9e9784b · outbound

This paper cites Self-supervised learning of motion capture.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Self-supervised learning of motion capture

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.622850Z

Source-reported events for the cited work

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Observation 6c2b4c5d-dcd0-4fc2-aebd-59f3fbd93afe · outbound

This paper cites Attention is all you need.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Attention is all you need

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.602089Z

Source-reported events for the cited work

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Observation ebc183e1-cde3-4b35-ae62-5cd3d5eaa014 · outbound

This paper cites Recovering accurate 3d human pose in the wild using imus and a moving camera.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Recovering accurate 3d human pose in the wild using imus and a moving camera

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.588061Z

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Observation b43fd8d4-ebcc-4ecd-8326-9edaed666a4b · outbound

This paper cites AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding

Reference 35

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Source-reported events for the cited work

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Observation 6ced6a17-dc0f-4a7b-b665-2d1992912719 · outbound

This paper cites Monoperfcap: Human performance capture from monocular video.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Monoperfcap: Human performance capture from monocular video

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.572637Z

Source-reported events for the cited work

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Observation 4d92fc1a-5c46-49c7-bc57-6f2579b839a7 · outbound

This paper cites Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:27:40.492475Z

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Observation 0bbea367-e53a-42cb-bf2e-d668b4d0519a · outbound

This paper cites From actemes to action: A strongly-supervised representa- tion for detailed action understanding.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation From actemes to action: A strongly-supervised representa- tion for detailed action understanding

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.559455Z

Source-reported events for the cited work

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

Observation e724fd32-5cc4-4772-8cc4-558a74ac0e7b · outbound

This paper cites Monocap: Monocular human motion capture using a cnn coupled with a geometric prior.

Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation Monocap: Monocular human motion capture using a cnn coupled with a geometric prior

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:40.545938Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.