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Paper Citation Record · LEDGER

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements

As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2607.02796.

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

pith.paper-citation-record.v1
2607.02796 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T07:00:13.505364Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

51 of 51 outbound references displayed

  • verified exact21
  • verified fuzzy0
  • unresolved28
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e0587d0-d237-45ba-852e-36e38506a98d · outbound

This paper cites Applications and limitations of current markerless motion capture methods for clinical gait biomechanics,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Applications and limitations of current markerless motion capture methods for clinical gait biomechanics,

Reference 1

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Observation 93e04d07-b7c1-401f-9b1e-26ccc4af6fea · outbound

This paper cites The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation,

Reference 2

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Observation 91be771f-5bf5-4054-b533-9fb205bb8ebe · outbound

This paper cites RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

Reference 3

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Observation 10bc2618-b824-42a6-8f1c-ecdac5a18dbe · outbound

This paper cites Deep High -Resolution Representation Learning for Visual Recognition,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Deep High -Resolution Representation Learning for Visual Recognition,

Reference 4

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Observation 1de624f8-469e-4743-af6e-071e96dfcbec · outbound

This paper cites Simple Baselines for Human Pose Estimation and Tracking,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Simple Baselines for Human Pose Estimation and Tracking,

Reference 5

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Observation 66b1dc74-fcdf-4a8c-a163-c97c8b6de1b6 · outbound

This paper cites Distribution -Aware Coordinate Representation for Human Pose Estimation,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Distribution -Aware Coordinate Representation for Human Pose Estimation,

Reference 6

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Observation 1c0069ba-2274-48a4-a577-700b306bf7b8 · outbound

This paper cites Deep Learning-Based Human Pose Estimation: A Survey,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Deep Learning-Based Human Pose Estimation: A Survey,

Reference 7

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Observation 94a2ab67-2bfa-408d-a661-a9ee3076adeb · outbound

This paper cites Evaluation of drop vertical jump kinematics and kinetics using 3D markerless motion capture in a large cohort,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Evaluation of drop vertical jump kinematics and kinetics using 3D markerless motion capture in a large cohort,

Reference 8

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arxiv_id, observed 2026-07-12T07:08:36.576295Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a6def8c2-bc72-47c6-9435-40435319ee39 · outbound

This paper cites Variability of in-game markerless and laboratory marker -based baseball pitching biomechanics,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Variability of in-game markerless and laboratory marker -based baseball pitching biomechanics,

Reference 9

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arxiv_id, observed 2026-07-12T07:08:36.560832Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e20c1c65-b95e-4379-ba48-a9e111c2d0bc · outbound

This paper cites Multiple View Geometry in Computer Vision (Cited by: 11343),.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Multiple View Geometry in Computer Vision (Cited by: 11343),

Reference 10

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Observation bb7dd3e0-becc-4774-a30b-4ea7f3750e6f · outbound

This paper cites OpenCap: Human movement dynamics from smartphone videos,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements OpenCap: Human movement dynamics from smartphone videos,

Reference 11

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Observation adcde233-c79f-42cb-8ada-ddc861735565 · outbound

This paper cites Optimisation and Comparison of Markerless and Marker -Based Motion Capture Methods for Hand and Finger Movement Analysis,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Optimisation and Comparison of Markerless and Marker -Based Motion Capture Methods for Hand and Finger Movement Analysis,

Reference 12

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doi, observed 2026-07-12T07:08:36.565395Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0f71342a-f315-4ec4-981b-3ecd6611a88f · outbound

This paper cites Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks

Reference 13

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Observation 051d898e-a413-4d61-995e-a03b13149d7b · outbound

This paper cites Validation of two -dimensional video -based inference of finger kinematics with pose estimation,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Validation of two -dimensional video -based inference of finger kinematics with pose estimation,

Reference 14

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 72ef6069-e3ad-4d9b-901d-a1a1f80155df · outbound

This paper cites Multi -view 3D Markerless Hand Motion Capture System with Keypoint Triangulation,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Multi -view 3D Markerless Hand Motion Capture System with Keypoint Triangulation,

Reference 15

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Observation 3e242f34-827d-4512-a912-de350a962a61 · outbound

This paper cites Differentiable Biomechanics for Markerless Motion Capture in Upper Limb Stroke Rehabilitation: A Comparison With Optical Motion Capture,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Differentiable Biomechanics for Markerless Motion Capture in Upper Limb Stroke Rehabilitation: A Comparison With Optical Motion Capture,

Reference 16

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arxiv_id, observed 2026-07-12T07:08:36.547297Z

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Observation 1d42d830-fbd6-44e4-be74-4fa7512659ba · outbound

This paper cites Differentiable Biomechanics Unlocks Opportunities for Markerless Motion Capture,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Differentiable Biomechanics Unlocks Opportunities for Markerless Motion Capture,

Reference 17

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Observation 37c26009-870b-4ce8-af5a-377749bdd3ca · outbound

This paper cites Biomechanical Arm and Hand Tracking with Multiview Markerless Motion Capture,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Biomechanical Arm and Hand Tracking with Multiview Markerless Motion Capture,

Reference 18

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Observation 2a0195f6-f998-4d88-9966-43c577608338 · outbound

This paper cites ATHENA: Automatically Tracking Hands Expertly with No Annotations,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements ATHENA: Automatically Tracking Hands Expertly with No Annotations,

Reference 19

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8025e0ab-d65d-435d-b482-443f2cc9b4ae · outbound

This paper cites Articulated Human Detection with Flexible Mixtures of Parts,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Articulated Human Detection with Flexible Mixtures of Parts,

Reference 20

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Observation 001da7f8-2351-45d9-924b-08ff78cfb27f · outbound

This paper cites Vision-based hand pose estimation: A review,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Vision-based hand pose estimation: A review,

Reference 21

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cfe45561-ae2b-4a79-b679-1160e3d3dc26 · outbound

This paper cites Research Techniques Made Simple: Cutaneous Colorimetry: A Reliable Technique for Objective Skin Color Measurement,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Research Techniques Made Simple: Cutaneous Colorimetry: A Reliable Technique for Objective Skin Color Measurement,

Reference 22

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 94053504-381f-4e2f-9773-9d2c439d1994 · outbound

This paper cites Markerless Motion Capture and Biomechanical Analysis Pipeline.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Markerless Motion Capture and Biomechanical Analysis Pipeline

Reference 23

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Observation f09fa583-2a8c-41eb-88be-46bce2e696b9 · outbound

This paper cites Charuco Board-Based Omnidirectional Camera Calibration Method,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Charuco Board-Based Omnidirectional Camera Calibration Method,

Reference 24

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5df8efe8-d165-42e4-903e-b160d482f1be · outbound

This paper cites Anipose: A toolkit for robust markerless 3D pose estimation,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Anipose: A toolkit for robust markerless 3D pose estimation,

Reference 25

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Observation 42526dab-ebd2-4a1c-bb7e-6b072b7d5664 · outbound

This paper cites PosePipe: Open-Source Human Pose Estimation Pipeline for Clinical Research.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements PosePipe: Open-Source Human Pose Estimation Pipeline for Clinical Research

Reference 26

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Observation 5f70e513-ba72-4833-bc07-502469248346 · outbound

This paper cites MoVi: A large multi -purpose human motion and video dataset,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements MoVi: A large multi -purpose human motion and video dataset,

Reference 27

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Observation d1da4717-39d1-4a40-a338-7abb10abc87f · outbound

This paper cites Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry -Aware Autoencoder to Bridge Between Skeleton Formats,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry -Aware Autoencoder to Bridge Between Skeleton Formats,

Reference 28

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Observation 30edfb8b-2c7a-4465-977d-963913740287 · outbound

This paper cites OpenMMLab Pose Estimation Toolbox and Benchmark.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements OpenMMLab Pose Estimation Toolbox and Benchmark

Reference 29

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Observation 351e3f4d-75f5-46de-ab83-34e939d00bc3 · outbound

This paper cites A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control,

Reference 30

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b679216a-5f39-4612-931b-aea497c5cb2d · outbound

This paper cites A Musculoskeletal Model of the Hand and Wrist Capable of Simulating Functional Tasks,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements A Musculoskeletal Model of the Hand and Wrist Capable of Simulating Functional Tasks,

Reference 31

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8f8cd984-87f2-4b3b-b63c-b271ae5228c6 · outbound

This paper cites OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement,

Reference 32

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Observation 7dc5e1bc-23de-4c76-a372-21b23954ba30 · outbound

This paper cites AddBiomechanics: Automating model scaling, inverse kinematics, and inverse dynamics from human motion data through sequential optimization,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements AddBiomechanics: Automating model scaling, inverse kinematics, and inverse dynamics from human motion data through sequential optimization,

Reference 33

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3be1c1b7-a9f8-4c72-8358-0b4ea35ad14a · outbound

This paper cites Compiling machine learning programs via high-level tracing.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Compiling machine learning programs via high-level tracing

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:1e3e9a0ac5d24de505d8fa86e999a3075c7d77862301dadb4c5605b261be6f3d

Observation f0c33edf-f40b-4976-8f49-eb9906afaecd · outbound

This paper cites Available: https://github.com/jrevels/Cassette.jl.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Available: https://github.com/jrevels/Cassette.jl

Reference 35

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source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:f7131343798d084bea74d4988bf2453a1613b2d32b6dff09754dba2c02575063

Observation a5977d76-4dc7-40de-9ec0-3a320cbeadd0 · outbound

This paper cites Equinox: neural networks in JAX via callable PyTrees and filtered transformations.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Equinox: neural networks in JAX via callable PyTrees and filtered transformations

Reference 36

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source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:b46ec35f5fd3bedc985fcf17f45c932e9e5277205ba434f59e1558201d8cabaa

Observation c67d6f9a-6983-494a-92f1-a032804bb230 · outbound

This paper cites Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

Reference 37

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source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:6e3820d636ce5de8d3f89afde5317067164cd0c531e3faeec0ec1bbeccd78588

Observation cd996552-1bbe-41f6-91c1-47f91d9bd22f · outbound

This paper cites MuJoCo: A physics engine for model-based control,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements MuJoCo: A physics engine for model-based control,

Reference 38

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no resolver link, observed 2026-07-12T07:00:13.505364Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:47d599390f54da0fc74943755086a2f2ee45cd312e6f89d9fd9e614b938b2e84

Observation f6510f9d-3381-4c9a-ba6f-d209c516ab7c · outbound

This paper cites Converting Biomechanical Models from OpenSim to MuJoCo,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Converting Biomechanical Models from OpenSim to MuJoCo,

Reference 39

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verified exact
doi, observed 2026-07-12T07:08:36.583766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:46a2852f6d3c1120911827502c950e3ce1eb9d098322780f880b6c642cc2ac29

Observation a8ade2b2-c772-4646-92db-75b08ec2a2e0 · outbound

This paper cites Decoupled Weight Decay Regularization.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Decoupled Weight Decay Regularization

Reference 40

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:850d58ea9668b9079a9b457c7e8b93baede95dca16c2d65ad6423d59dfceba1c

Observation 85dd7c0f-2478-443a-ba52-58345e22a75f · outbound

This paper cites On Triangulation as a Form of Self -Supervision for 3D Human Pose Estimation,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements On Triangulation as a Form of Self -Supervision for 3D Human Pose Estimation,

Reference 41

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unresolved
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source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:8f28e6a69263390881784d4f980338b935d9fd0c1d73dbca1afb7abb82b7aab2

Observation 29afe2ac-556d-413e-9376-ad224c8d1790 · outbound

This paper cites FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images,

Reference 42

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unresolved
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Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:4774712c4dd8961a485e0495c6f040b7bebaa7131b8a4aca4e7287616d89bf5a

Observation 5b278179-150b-437a-a1de-df382ef0fc27 · outbound

This paper cites Whole-Body Human Pose Estimation in the Wild,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Whole-Body Human Pose Estimation in the Wild,

Reference 43

Resolution
verified exact
doi, observed 2026-07-12T07:08:36.469709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:f43cb214ebb75f62b296ca0c447569e0fdf209fe63c6a758c46a1eefea99eb14

Observation e76040e6-930e-43b6-abba-1d11f0f798f0 · outbound

This paper cites Mask -Pose Cascaded CNN for 2D Hand Pose Estimation From Single Color Image,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Mask -Pose Cascaded CNN for 2D Hand Pose Estimation From Single Color Image,

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-12T07:08:36.465499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:88d33444b618937b68471c5dc441ba5b41ad9fb0062fcfb6117fcb929bd878cb

Observation b912bd7e-34f1-4d3c-9c5f-215f749f633e · outbound

This paper cites Learning to Estimate 3D Hand Pose from Single RGB Images,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Learning to Estimate 3D Hand Pose from Single RGB Images,

Reference 45

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:c62e9b1c1a233db91c3e9086ae0b84310c531247b81eb8ebffaac34f0fbbc1ed

Observation 4738851c-e98b-4928-968e-f555e236a638 · outbound

This paper cites AlphaPose: Whole -Body Regional Multi -Person Pose Estimation and Tracking in Real -Time,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements AlphaPose: Whole -Body Regional Multi -Person Pose Estimation and Tracking in Real -Time,

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:e1fc5ad2ec0c3a1ab2713d29afef92756d14c8d78e5619189c7853e5d2ca4739

Observation 67c7e27e-1aed-41a5-9897-10f975e56f88 · outbound

This paper cites Conclusion or Illusion: Quantifying Uncertainty in Inverse Analyses From Marker -Based Motion Capture due to Errors in Marker Registration and Model Scaling,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Conclusion or Illusion: Quantifying Uncertainty in Inverse Analyses From Marker -Based Motion Capture due to Errors in Marker Registration and Model Scaling,

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-12T07:08:36.452935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:7a539255718d12e4339a884fdc3512b579ee119eea6106b1820285da1ac3df33

Observation 629407fb-8d25-4f51-b745-b96f2c94a204 · outbound

This paper cites Effects of hip joint centre mislocation on gait kinematics of children with cerebral palsy calculated using patient -specific direct and inverse kinematic models,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Effects of hip joint centre mislocation on gait kinematics of children with cerebral palsy calculated using patient -specific direct and inverse kinematic models,

Reference 48

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doi, observed 2026-07-12T07:08:36.446884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:1c783aa638f0aa60d6e6c34128970bffa86b84b1f7831182b5344afc7c66e46e

Observation d3f5ff64-8444-4c77-b56e-6d08d24cb449 · outbound

This paper cites The development and evaluation of a fully automated markerless motion capture workflow,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements The development and evaluation of a fully automated markerless motion capture workflow,

Reference 49

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verified exact
arxiv_id, observed 2026-07-12T07:08:36.459202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:498f957065f5534424c882bd535a0f65b8cfd541b51a33e3878b4a9c5940beb9

Observation a325021b-cf6d-4d65-b404-c3398166f3d9 · outbound

This paper cites SAM 3D Body: Robust Full -Body Human Mesh Recovery,.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements SAM 3D Body: Robust Full -Body Human Mesh Recovery,

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:c2c3b2829586f0ef83a5c0fa0a425df70b5b06e399a92c5f44caeb232c26b4c6

Observation eddb6e4d-3dcc-4b2d-8fa9-2df8c74c0cbc · outbound

This paper cites Monocular Biomechanical Tracking of Fingers with Inverse Kinematics to Foundation Models.

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements Monocular Biomechanical Tracking of Fingers with Inverse Kinematics to Foundation Models

Reference 51

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verified exact
local_arxiv, observed 2026-07-12T07:08:36.437799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-12T07:00:13.505364Z digest=sha256:66d9d367ed0a7b600732aee625179bdba686e838f8c502c598580bcc08d78d98

Pith citing papers

No inbound Pith citation observations are available.