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Paper Citation Record · LEDGER

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation

As of 11 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2312.06409.

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

pith.paper-citation-record.v1
2312.06409 v4

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T04:38:05.013487Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:25:03.808650Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-09T23:25:03.898447Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact7
  • verified fuzzy56
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55e6e97a-493a-476f-bb2b-27d39f2f63c0 · outbound

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

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation 2D human pose estimation: New benchmark and state of the art analysis

Reference 1

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 0a3bc1e8-245b-468e-b371-253fa9f587df · outbound

This paper cites Real-time rgbd-based extended body pose estimation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Real-time rgbd-based extended body pose estimation

Reference 2

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verified fuzzy
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Source-reported events for the cited work

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

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Observation b186ac42-6a99-4feb-ac72-1d73fadaf987 · outbound

This paper cites View Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation View Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors

Reference 3

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verified exact
arxiv_id, observed 2026-05-24T04:38:53.652478Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:dd9268a2452180511e3ae87d64eb6760f7d7b2c751f10a0d519b1224bf88f135

Observation ad252ccd-e7b4-4d1f-9ad5-fc3ab1127def · outbound

This paper cites 3D pictorial structures for multiple human pose estimation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation 3D pictorial structures for multiple human pose estimation

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.921574Z

Source-reported events for the cited work

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

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Observation ddf5a1c9-5b6b-4a5e-80c4-edc4695153e0 · outbound

This paper cites Domain adaptation through anatomical con- straints for 3D human pose estimation under the cover.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Domain adaptation through anatomical con- straints for 3D human pose estimation under the cover

Reference 5

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raw_fallback, observed 2026-05-24T04:38:53.979033Z

Source-reported events for the cited work

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

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Observation 746ae902-e55d-422b-92c4-fa457a5c01ad · outbound

This paper cites Re- altime multi-person 2D pose estimation using part affinity fields.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Re- altime multi-person 2D pose estimation using part affinity fields

Reference 6

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 673064e1-63de-4336-8048-556266c29a9a · outbound

This paper cites Sim2real transfer learning for 3D human pose estimation: motion to the res- cue.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Sim2real transfer learning for 3D human pose estimation: motion to the res- cue

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.822817Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:44b25682a12e176d715dfc1ee7d7bfa7efd7fad970ad83e2fc8dad13b088042f

Observation e71a8d63-ecbf-428e-8388-e3f50d7869d2 · outbound

This paper cites Fast and robust multi-person 3D pose estima- tion from multiple views.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Fast and robust multi-person 3D pose estima- tion from multiple views

Reference 8

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raw_fallback, observed 2026-05-24T04:38:53.776783Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:85ea014d6529580c2ae60f713a5c8f1d42d3d1fcfc25a4bf0fff4c9377fd188c

Observation 17109695-948e-4ce6-9cf5-6ece7266cda3 · outbound

This paper cites CARLA: An open urban driving simulator.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation CARLA: An open urban driving simulator

Reference 9

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raw_fallback, observed 2026-05-24T04:38:53.859025Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:0f02adcef632f0e235d8b91458e147c8984e1770b803e09c4618ed3d50680380

Observation 7d6219cc-de11-41b4-9b8e-6641a49588f6 · outbound

This paper cites PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision

Reference 10

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verified exact
arxiv_id, observed 2026-05-24T04:38:53.647101Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:e8c4ae9e9d3069e96bf9a30220aafda928c5dd1f8691b79737951ab1a83030eb

Observation bad62678-1c8c-4a75-a92e-aede12994637 · outbound

This paper cites Alpha- pose: Whole-body regional multi-person pose estimation and tracking in real-time.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Alpha- pose: Whole-body regional multi-person pose estimation and tracking in real-time

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.766304Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:06f10ae0810d319d17c1a4f262e483f02eb0d5318119861fb4fcbf043388904c

Observation 400fcc15-1f05-446a-ba31-91cb7b33f1a8 · outbound

This paper cites DECA: Deep viewpoint-equivariant human pose es- timation using capsule autoencoders.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation DECA: Deep viewpoint-equivariant human pose es- timation using capsule autoencoders

Reference 12

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raw_fallback, observed 2026-05-24T04:38:53.792557Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:35b9ccd27730a5d1db6a058fb0c28b0710c4e19f1cae2ae20160423e16249059

Observation 5005b4b8-54f1-4602-940d-16037b3da438 · outbound

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

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Are we ready for autonomous driving? the KITTI vision benchmark suite

Reference 13

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verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.796583Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:a7caa1cf4138b91819d8a24f83e9047c88f6e6438900dbc195d7995d7f410b1b

Observation 2516d74a-6e26-40fa-8fa1-69297d09c96c · outbound

This paper cites 3D human pose estimation in multi-view oper- ating room videos using differentiable camera projections.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation 3D human pose estimation in multi-view oper- ating room videos using differentiable camera projections

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.950380Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:2bc10cf5c33719286ba5a55d448c746989261a0828ea6bd3a368010cd2ef327d

Observation f1009bee-0ce8-49a1-a7ab-5653357619a4 · outbound

This paper cites Self-supervised 3D human pose estimation from video.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Self-supervised 3D human pose estimation from video

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.908709Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:58adfde5afcc26bd636506504a9d965b1b955e2c9346e3f13f99bf916b6c620a

Observation b284b21f-a1ae-4d00-898b-d5e8bb0922b8 · outbound

This paper cites Generalized procrustes analysis.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Generalized procrustes analysis

Reference 16

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verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.851000Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:1d9a917cc8708b76b947677b02e6dd7f4a471b504a592e4dbbf0a9edba8d3891

Observation 23b1ba31-550f-4307-a1f0-e0eb8eb21d3b · outbound

This paper cites Towards Good Practices for Deep 3D Hand Pose Estimation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Towards Good Practices for Deep 3D Hand Pose Estimation

Reference 17

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local_arxiv, observed 2026-05-24T04:38:53.667162Z

Source-reported events for the cited work

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

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Observation 4dd4e0c3-a663-4253-bdf6-ad22677f09d2 · outbound

This paper cites Fusing information from multiple 2D depth cam- eras for 3D human pose estimation in the operating room.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Fusing information from multiple 2D depth cam- eras for 3D human pose estimation in the operating room

Reference 18

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Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:f1171407b9b48fa29efed8c45877c5e09c3e2aef30529e40a48f56261d3a7f58

Observation 037eb58d-3033-4817-a49c-00f885c5b104 · outbound

This paper cites Towards viewpoint invariant 3D human pose estimation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Towards viewpoint invariant 3D human pose estimation

Reference 19

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verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.784814Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:551f741328f9ffe10b718d7eb2204c5cddd6a9e5e11c2b8101666d5135cad239

Observation 440f71e6-43fd-45b2-ab16-2965e96de5b1 · outbound

This paper cites Multi- view detection with feature perspective transformation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Multi- view detection with feature perspective transformation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.862714Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:79ed6013f39febececed1129516ad6add42458e60376150238c093c02d9b589d

Observation 0b9d920c-413d-4a5b-a8ac-87b490fb0ef0 · outbound

This paper cites Human3.6M: Large scale datasets and pre- dictive methods for 3D human sensing in natural environ- ments.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Human3.6M: Large scale datasets and pre- dictive methods for 3D human sensing in natural environ- ments

Reference 21

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verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.958683Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:c2d39e9c72a67eec609113bfcfa739c9106b21c9bba6dbcc4b5c0999ab19c0f7

Observation 5a917d87-4a0a-4454-8ccc-1052297e6658 · outbound

This paper cites Learnable triangulation of human pose.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Learnable triangulation of human pose

Reference 22

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verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.819323Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:10e7ae2b9ec96a3b6fd96e4130d0f054016c3df405ac196522828be9f6edd721

Observation 44bbb195-e4b5-4379-9bf5-378f8d00e9bd · outbound

This paper cites Whole-body human pose estimation in the wild.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Whole-body human pose estimation in the wild

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.941760Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:49ef892b5c07bb671c3dd7f53a4df66ea1658e6ac237bb15af710afcb1345d7d

Observation e1217370-4a29-4b76-999c-9441d855e9af · outbound

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

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Panoptic studio: A massively multiview system for social motion capture

Reference 24

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verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.855136Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:7d815ec250374315a757f9a504b42f0a5ce7485e9a828708a558ca1e69e8c595

Observation a92c9421-64c9-46db-a925-3c4edf5b2f77 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Adam: A Method for Stochastic Optimization

Reference 25

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verified exact
local_arxiv, observed 2026-05-24T04:38:53.671166Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:a056ffe70c9c28dbd9d8ec8f1cea81470b7e40297f8814cf83d430a59ed06943

Observation ed0a7dc9-5c9e-4f0d-82ae-7c1b260d2f5b · outbound

This paper cites Self- supervised learning of 3D human pose using multi-view geometry.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Self- supervised learning of 3D human pose using multi-view geometry

Reference 26

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verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.975106Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:6c71beeb4871eca6be67731153e8cd5a8aa7ec4a64f3ed1ee16a2641ae78bfe1

Observation 8c9b4f84-f6c6-4e05-a9c4-1b87dbd77ba5 · outbound

This paper cites Unsupervised cross-modal alignment for multi-person 3D pose estimation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Unsupervised cross-modal alignment for multi-person 3D pose estimation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.837992Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:f38dad6844d3c544406e47fb1cfe746c3363bf99a8a9aa14bfee13c293e1b636

Observation 64cbf3a1-9a26-48a2-97cb-3a4844371b83 · outbound

This paper cites Uncertainty-aware adaptation for self-supervised 3D human pose estimation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Uncertainty-aware adaptation for self-supervised 3D human pose estimation

Reference 28

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verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.894072Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:30171b6841828a6f3156e9eac93a255f8e1f92a87ef54e251cfc8e37792c3cbc

Observation 523aed08-8792-48de-9551-819c291b70c4 · outbound

This paper cites PointPillars: Fast encoders for object detection from point clouds.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation PointPillars: Fast encoders for object detection from point clouds

Reference 29

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raw_fallback, observed 2026-05-24T04:38:53.928482Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:87389d497b2ccf77db6a393c2ba31e65765ef7bfe1eebc0ef996b75aeb8524ec

Observation 091ab499-1b97-4728-9311-5f6a2e77eddc · outbound

This paper cites Li- darcap: Long-range marker-less 3d human motion capture with lidar point clouds.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Li- darcap: Long-range marker-less 3d human motion capture with lidar point clouds

Reference 30

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raw_fallback, observed 2026-05-24T04:38:53.883915Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:87f4862946e4cd691d8cd1e9ef143d3d6e0c0d27919535cc0c349caa35ec299e

Observation 0504ba82-cbe5-4e23-861f-ab963c126553 · outbound

This paper cites Deep continuous fusion for multi-sensor 3D object detection.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Deep continuous fusion for multi-sensor 3D object detection

Reference 31

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verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.890743Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:55dac02cb1168011d47e7ac5d017f25e9cea8dfe0896323dd4f6b91a88efce52

Observation 0966ad7a-70f9-40a2-ae10-526a5f26bcb4 · outbound

This paper cites Multi-view multi-person 3D pose estimation with Plane Sweep Stereo.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Multi-view multi-person 3D pose estimation with Plane Sweep Stereo

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.918584Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:4bab024cec85644b8ec4533f0ae9cc59412615e1c5beffd0935617133d9d0716

Observation 6e4b6acd-bfed-4bd6-9ab0-7ed9b7fb6e20 · outbound

This paper cites Microsoft COCO: Common objects in context.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Microsoft COCO: Common objects in context

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.887107Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:821e82599d2eb812f525a6430010f2846bf2309f7bb2f2ae14d06d78b9268b37

Observation 32cf404d-8831-4af2-8a2b-2665a8fcbc9e · outbound

This paper cites BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:38:53.658076Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:663422df370e5fa4d08b5eded5c7a1a40228d9f1930a234df85d5d387e5249a7

Observation 705a03a2-bbed-4529-a637-a749bd408c75 · outbound

This paper cites SMPL: A skinned multi-person linear model.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation SMPL: A skinned multi-person linear model

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.897587Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:aeee0f141e7bfcbf02ecc9b2106ea0385afaa660c0ae77e5bd840c70c449c827

Observation da6fb0fb-f7f8-4ed5-a69f-c495583b74ed · outbound

This paper cites Learn- ing to dress 3D people in generative clothing.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Learn- ing to dress 3D people in generative clothing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.772432Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:7366c45e2339ffb7b4a7aee42dd903251599d27d1fc89119b22e8dc1808087dd

Observation c8b934a8-a291-421d-9fcf-adab2b45da0d · outbound

This paper cites AMASS: Archive of motion capture as surface shapes.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation AMASS: Archive of motion capture as surface shapes

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.834169Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:52743e3fac52a343c77fbcc0333d88b0cc46f4d7ce4a84787baa27fe525e4c61

Observation e4342fd1-18af-4b26-beb8-89fde9777386 · outbound

This paper cites Residual pose: A decou- pled approach for depth-based 3D human pose estimation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Residual pose: A decou- pled approach for depth-based 3D human pose estimation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.756235Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:87606ac6a435afbf7cc1ddfc4db6b62057dba527397d9c16371423b79b449a82

Observation 8ed10e04-2219-40a1-bf32-7823e395df9d · outbound

This paper cites V2V-Posenet: V oxel-to-voxel prediction network for accu- rate 3D hand and human pose estimation from a single depth map.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation V2V-Posenet: V oxel-to-voxel prediction network for accu- rate 3D hand and human pose estimation from a single depth map

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.925203Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:090b8a0fe34f583046e4b931e8bb884a1b64db21f98c47fbb923f5d6e2a3f198

Observation 17c993dc-2c24-4b04-b0ed-7cc6ead47dc1 · outbound

This paper cites 4D-net for learned multi-modal alignment.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation 4D-net for learned multi-modal alignment

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.880422Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:583ba9dd618d33e48b3d7ec5a90266521b8abcc1b9b689580c980572aff2cf58

Observation d5ac9cea-427e-49f5-add5-3f7baa9a24d8 · outbound

This paper cites Deep hough voting for 3D object detection in point clouds.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Deep hough voting for 3D object detection in point clouds

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.826620Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:bcc0c348582ac34889a0e26ca5463bebe45b26e3a77028541fa70cf34de4cd99

Observation a5558b38-80ed-46aa-847b-cd7ec4aa0500 · outbound

This paper cites Tessetrack: End-to- end learnable multi-person articulated 3D pose tracking.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Tessetrack: End-to- end learnable multi-person articulated 3D pose tracking

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.808702Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:979f7fe05191c491eb1e40780e6914d36c07a968ccbd67876fa0c085a44de6d7

Observation 3dd1bfa6-7dc3-47b5-996b-459a3a3ab538 · outbound

This paper cites Lightweight multi-view 3D pose esti- mation through camera-disentangled representation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Lightweight multi-view 3D pose esti- mation through camera-disentangled representation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.966364Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:3a076685928928c27752bc99fb8d1ac576391ee765c31d283038d03abaf53ebd

Observation 54ee1533-511b-41dd-bb52-badcd33fcd3f · outbound

This paper cites Self- supervision on unlabelled or data for multi-person 2D/3D human pose estimation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Self- supervision on unlabelled or data for multi-person 2D/3D human pose estimation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.812521Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:626756414724b68681c6378a4023dc108de2ad1920e6e960ccf9b1930d59fde2

Observation a454fdac-d414-4d93-842f-ce141e161ffe · outbound

This paper cites MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:38:53.675666Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:338380e8004390b7d042d30dd0f9ea80a815486a832012bf3452322609b6c43a

Observation 602210f5-30ea-482f-9552-893852ed5575 · outbound

This paper cites Deep high-resolution representation learning for human pose es- timation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Deep high-resolution representation learning for human pose es- timation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.876929Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:edb3dfbc38c199040cd4e0c21c83b3f4caca9fdcf358688eaa64ddc3be9f2298

Observation 38c3ea42-ecc2-4452-8059-25e0bed40286 · outbound

This paper cites V oxelPose: Towards multi-camera 3D human pose estimation in wild en- vironment.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation V oxelPose: Towards multi-camera 3D human pose estimation in wild en- vironment

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.946644Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:e1bdb8a471548b8c470c79c26971c04384e8034cb96927c097a0912b306f4dc2

Observation ff69471b-193e-48ca-ab5b-a6d5aa4945d4 · outbound

This paper cites Learning from synthetic humans.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Learning from synthetic humans

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.912219Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:819890ed77550e93cc9d036d576cb051555d1a0e0d0b11ab0462ae517d2dba96

Observation 3fa8e985-1171-4952-9b48-5f1f234c0d97 · outbound

This paper cites Recovering ac- curate 3D human pose in the wild using imus and a mov- ing camera.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Recovering ac- curate 3D human pose in the wild using imus and a mov- ing camera

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.830532Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:214fcc37a601753b6dc48f3a1b366d1310830f52bb7973b0dbd1dc38d51ca4ac

Observation 522f2369-87e7-458f-bfd9-fca8e5f8dc73 · outbound

This paper cites Graph-based 3D multi-person pose estimation using multi-view images.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Graph-based 3D multi-person pose estimation using multi-view images

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.816151Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:7de1b6f63c9aca2c465d6a2c8bdc0bc1df912b82c53848dc36896ed7812f6806

Observation 9a2f4f26-73b5-4640-960f-ac26fa3166da · outbound

This paper cites ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:38:53.662646Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:2d168a0bcea76103c7b48f2f3ed2722737b4318ed7b4ae1727deb1a9ed1a2472

Observation a18dc340-e2af-47f2-9dc8-70cdf5d1e3fe · outbound

This paper cites Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective su- pervision.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective su- pervision

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.842136Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:a62edc906b121438aec612bd5b999ea14cff5d3c8d4df6a1d0297945a93eb733

Observation f7cd83ce-0a18-4ebe-90c3-1c924e9b9101 · outbound

This paper cites Faster V oxelPose: Real-time 3d human pose estima- tion by orthographic projection.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Faster V oxelPose: Real-time 3d human pose estima- tion by orthographic projection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.873400Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:032673e0e5172cbe37b7aabbf8f64c68ac9d046a4a4073d033a30c98e88ba8aa

Observation 2f90c552-7034-4fa7-97bc-925f862df49f · outbound

This paper cites Direct multi-view multi-person 3D pose estima- tion.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Direct multi-view multi-person 3D pose estima- tion

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.932247Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:4921c79cb2cc5a5a0464d833d1597d73ce7449317487a4223d6969b03f47cc1c

Observation 560603ee-0ed5-4261-80b1-87b8a1bef4d6 · outbound

This paper cites A flexible multi-view multi- modal imaging system for outdoor scenes.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation A flexible multi-view multi- modal imaging system for outdoor scenes

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.846017Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:efa446e694b4a5dd6361960f9e30203800fd9e544f89c1562feceef446ba1499

Observation 9b8a97a1-67bf-4eb7-bb8d-7e7646ca3b63 · outbound

This paper cites Pose2seg: Detection free human instance segmentation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Pose2seg: Detection free human instance segmentation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.915110Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:a6eec625cd27fd9b54d7bfeb85209e878e776f2f107b8089c91ee13f88ef8e50

Observation 64c96805-ae4a-47b2-8504-d2946b299f17 · outbound

This paper cites Unsupervised domain adaptation for 3D hu- man pose estimation.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Unsupervised domain adaptation for 3D hu- man pose estimation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.781052Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:9a497f892ca5f475a301984b2c7e5ce24d373adc2c2eb590a5d72b197c38083f

Observation 7cd7e993-2907-4e7b-b03b-ab5d70f769d6 · outbound

This paper cites Sequential 3D human pose estimation using adaptive point cloud sampling strategy.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Sequential 3D human pose estimation using adaptive point cloud sampling strategy

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.905269Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:4844e09e0e6e38aa487f4729799f7f87a767fdef0678bd60171d3311213cf8f3

Observation 6f6f1822-b2fe-4611-bda4-61ce4eca80a2 · outbound

This paper cites Multi-modal 3D human pose estimation with 2D weak supervision in autonomous driving.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Multi-modal 3D human pose estimation with 2D weak supervision in autonomous driving

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.801195Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:50dd05158f385882fb6ef88e2a77c9e85918119c94aba6b86bb6b3ff7828955b

Observation c5aa0fe3-abb2-4cbb-b13c-e8f9ec84d8ad · outbound

This paper cites Figure 7 illustrates that the ”Rose curve” sampling equation yields minimal information due to its localized concentrated scan.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Figure 7 illustrates that the ”Rose curve” sampling equation yields minimal information due to its localized concentrated scan

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.869883Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:b66741994bf63fdd5446696fc1f687dead3a9a80572c1fc751de57862c92e074

Observation f6814bed-c2c7-474d-9727-87a25fd23e42 · outbound

This paper cites The dataset presents challenges due to its extensive coverage, occlusions, and the dynamic motions of the play- ers (Figure 8).

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation The dataset presents challenges due to its extensive coverage, occlusions, and the dynamic motions of the play- ers (Figure 8)

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.954803Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:5330105f64de17c07e6c21b12663931a95c1a7f4c8b6983c388b93b07743e2c2

Observation edf2c84e-bd33-4f06-944c-7b76d5e5e531 · outbound

This paper cites As demonstrated in the experiments in our paper, using the same scene setting for both training and testing yields bet- ter transfer performance.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation As demonstrated in the experiments in our paper, using the same scene setting for both training and testing yields bet- ter transfer performance

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.971150Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:29861a93c343132ef88e95590c05af28cbe1a4fcf41e95aac6f3d9efb3873a47

Observation f3bd79ec-2529-4a25-b6bf-02a1ecbe0241 · outbound

This paper cites an unresolved cited work.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-05-24T04:38:53.865716Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:bef675df2a31b66a2b0154219aa90c5ca53ee89aec845608c81bed7d09ebfc5c

Observation a791df1d-cd29-4258-bcf2-318554104e68 · outbound

This paper cites We set a limited length range for all bones.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation We set a limited length range for all bones

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T04:38:53.901246Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:48718ed8f918ca521adab0e24bb3d4df03f130efd857ea0eda61f873fe94b0de

Observation b4d3a02a-7197-41b0-ac7d-6c379c0dff27 · outbound

This paper cites Additionally, we present more examples to explain the rela- tionship between entropy value and pose rationality.

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation Additionally, we present more examples to explain the rela- tionship between entropy value and pose rationality

Reference 65

Resolution
malformed identifier
raw_fallback, observed 2026-05-24T04:38:53.962607Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T04:38:05.013487Z digest=sha256:44896991ca5372d851c6cdebf64834f2e79d2d79ffe9f6d3cc7d19020211234a

Pith citing papers

Observation 5fd94eb5-58cc-4848-8991-02c4153592fb · inbound

SimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-Images cites this paper.

SimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-Images LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-09T23:25:03.905496Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T23:25:03.808650Z digest=sha256:185fcaf536dd85d28e7e2d5438bdf051f2bbc9cea851632430554a18d68c6f74