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Paper Citation Record · LEDGER

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp

As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2608.00187.

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

pith.paper-citation-record.v1
2608.00187 v1

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measured 52 of 52 reference resolution

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52 of 52 outbound references displayed

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Outbound references

Observation 7478cbfc-f44c-49c9-8896-50b61e702942 · outbound

This paper cites an unresolved cited work.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Unresolved cited work

Reference 1

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This paper cites Plastic and Reconstructive Surgery 152(4), 675e–688e (2023).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Plastic and Reconstructive Surgery 152(4), 675e–688e (2023)

Reference 2

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This paper cites Journal of Craniofacial Surgery34(6), 1629–1634 (2023).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Journal of Craniofacial Surgery34(6), 1629–1634 (2023)

Reference 3

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Observation 2f0b30ab-e06d-48d5-b8d7-968a520f776b · outbound

This paper cites In: International conference on machine learning.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: International conference on machine learning

Reference 4

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Observation a3244578-e40f-4f9f-911e-65440b91c09c · outbound

This paper cites In: International Conference on Learning Representations.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: International Conference on Learning Representations

Reference 5

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Observation 6254d324-a2f0-405c-9f86-52dfdbd6986c · outbound

This paper cites Medical Image Analysis p.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Medical Image Analysis p

Reference 6

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This paper cites In: IEEE Conference on Computer Vision and Pattern Recog- nition (CVPR) (2007).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: IEEE Conference on Computer Vision and Pattern Recog- nition (CVPR) (2007)

Reference 7

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SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Unresolved cited work

Reference 8

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Observation 17af3bce-5f7c-4ec1-84a4-12b89ae33e88 · outbound

This paper cites Journal of Craniofacial Surgery31(3), 697–701 (2020).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Journal of Craniofacial Surgery31(3), 697–701 (2020)

Reference 9

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Observation eea21eaa-261c-4188-8a19-cc019d5255ad · outbound

This paper cites In: International Workshop on Shape in Medical Imaging.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: International Workshop on Shape in Medical Imaging

Reference 10

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Observation 99b73f5e-e50e-4db5-96fe-e727c822d12d · outbound

This paper cites The Cleft Palate Craniofacial Journal60(8), 971–979 (2023).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp The Cleft Palate Craniofacial Journal60(8), 971–979 (2023)

Reference 11

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Observation 6fa6ec5d-c08c-45f7-ad9a-08ab8845985c · outbound

This paper cites In: Statistical shape and deformation analysis, pp.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: Statistical shape and deformation analysis, pp

Reference 12

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This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 13

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Observation c57601f7-2826-490f-9471-b14f2281dcbe · outbound

This paper cites In: International Workshop on Graphs in Biomedical Image Analysis.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: International Workshop on Graphs in Biomedical Image Analysis

Reference 14

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Observation b012910b-53f5-4845-b625-0a34c9b17e7c · outbound

This paper cites In: Proceedings of the European Conference on Computer Vision (ECCV) Workshops.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: Proceedings of the European Conference on Computer Vision (ECCV) Workshops

Reference 15

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Observation 6f557e55-a432-4f02-8d2f-bf503a6f30c3 · outbound

This paper cites IEEE transactions on medical imaging21(5), 525–537 (2002).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp IEEE transactions on medical imaging21(5), 525–537 (2002)

Reference 16

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Observation 69eebd84-d7bd-4980-ad4a-e6ef6680d0e4 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 17

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Observation 0e2d0b37-28c7-4e19-8b68-f97986ec4fc6 · outbound

This paper cites Computer methods and programs in biomedicine240, 107689 (2023).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Computer methods and programs in biomedicine240, 107689 (2023)

Reference 18

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Observation fe7dbf56-512e-4332-a856-9eb6196f1bb9 · outbound

This paper cites Computational Visual Media7(2), 187–199 (2021).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Computational Visual Media7(2), 187–199 (2021)

Reference 19

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence43(7), 2269–2286 (2021).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp IEEE Transactions on Pattern Analysis and Machine Intelligence43(7), 2269–2286 (2021)

Reference 20

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This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 21

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This paper cites Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes

Reference 22

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Observation f1fe711f-cbfa-465b-bbf8-a76d0bcd7b7e · outbound

This paper cites Scientific reports10(1), 15346 (2020).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Scientific reports10(1), 15346 (2020)

Reference 23

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This paper cites Frontiers in Bioengineering and Biotechnology11, 1089113 (2023).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Frontiers in Bioengineering and Biotechnology11, 1089113 (2023)

Reference 24

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This paper cites ToothForge: Automatic Dental Shape Generation using Synchronized Spectral Embeddings.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp ToothForge: Automatic Dental Shape Generation using Synchronized Spectral Embeddings

Reference 25

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SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: 2021 International Conference on 3D Vision (3DV)

Reference 26

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SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp under- stands

Reference 27

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SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: Proceedings of the IEEE international conference on computer vision

Reference 28

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SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Unresolved cited work

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This paper cites In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2015).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2015)

Reference 30

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SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Medical Image Analysis18(4), 635–646 (2014) 18 N

Reference 31

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This paper cites International journal of oral and maxillofacial surgery 46(7), 819–826 (2017).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp International journal of oral and maxillofacial surgery 46(7), 819–826 (2017)

Reference 32

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This paper cites IEEE Trans- actions on Pattern Analysis and Machine Intelligence32(12), 2262–2275 (2010).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp IEEE Trans- actions on Pattern Analysis and Machine Intelligence32(12), 2262–2275 (2010)

Reference 33

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SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp ACM Transactions on Graphics31(4) (2012)

Reference 34

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This paper cites In: proceedings of the IEEE/CVF International Conference on Computer Vision.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 35

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Observation b3561c18-c6d5-484b-8769-9c0e561d6db7 · outbound

This paper cites In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)

Reference 36

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Observation fc71476e-86ba-4d29-90bc-e7bf9ad55668 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2017).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: Advances in Neural Information Processing Systems (NeurIPS) (2017)

Reference 37

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Observation d1b75b90-c74b-4c8c-b08f-736828538546 · outbound

This paper cites Computer-Aided Design38(4), 342–366 (2006).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Computer-Aided Design38(4), 342–366 (2006)

Reference 38

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source=pdf_text observed=2026-08-04T01:08:35.299590Z digest=sha256:cc2f0109e618bfaa02fd330bcafef9da4338058ae539b4bc321b9936766db359

Observation d6978418-62bb-4b9a-bedc-16af3202a7f1 · outbound

This paper cites In: Computer graphics forum.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: Computer graphics forum

Reference 39

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source=pdf_text observed=2026-08-04T01:08:35.505201Z digest=sha256:8ddfc30985e12a9ed8be0acd4d459412250160f0ceed5fd4c70980d8b164a310

Observation 989a3427-eda2-4945-bfa4-1a5af69e6f1a · outbound

This paper cites Journal of Cranio-Maxillofacial Surgery45(3), 387–394 (2017).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Journal of Cranio-Maxillofacial Surgery45(3), 387–394 (2017)

Reference 40

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source=pdf_text observed=2026-08-04T01:08:35.612350Z digest=sha256:e4662a776f654aba6a35dc7eb1599c340d87b6737e1e13cc1f043b8f65c09a57

Observation 9f1ae280-5da6-4459-a0fd-6c2621453e56 · outbound

This paper cites Diagnostics12(7), 1516 (2022).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Diagnostics12(7), 1516 (2022)

Reference 41

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Observation f14f5d82-2095-4a22-8aa7-0d213b5a790c · outbound

This paper cites Insight Journal pp.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Insight Journal pp

Reference 42

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source=pdf_text observed=2026-08-04T01:08:35.741133Z digest=sha256:4c53dd88a85d8e7a539fa399251d360fae04177a4be7ae9b627b3f018bd8471f

Observation 41d57cbb-5beb-4cd1-af43-657496d8c2b7 · outbound

This paper cites In: IEEE International Conference on Computer Vision (ICCV) (2015).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: IEEE International Conference on Computer Vision (ICCV) (2015)

Reference 43

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source=pdf_text observed=2026-08-04T01:08:35.870481Z digest=sha256:489d7aa0c3810a288db8147673179228d04ed4d7312ecf0b9ba453af941286b2

Observation 6b095083-6654-4250-b937-32e8e2c3b669 · outbound

This paper cites Computer Graphics Forum28(5), 1383–1392 (2009).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Computer Graphics Forum28(5), 1383–1392 (2009)

Reference 44

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source=pdf_text observed=2026-08-04T01:08:35.963163Z digest=sha256:be5074885ad9f553b08c3460256b59372c68afb83d68a5da0967cf7a3f946dee

Observation 65f31dce-5ff7-4c38-a046-a996d17922b4 · outbound

This paper cites The Cleft Palate Craniofa- cial Journal p.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp The Cleft Palate Craniofa- cial Journal p

Reference 45

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source=pdf_text observed=2026-08-04T01:08:36.109964Z digest=sha256:41a756ebe927d3aee15c8b79868518ac4c3c95580e561c0ab0878ed9d0de476f

Observation 60d499b2-9a29-4ac5-802c-5d8d9bd21958 · outbound

This paper cites Advances in neural information processing systems30(2017) SCALP 19.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Advances in neural information processing systems30(2017) SCALP 19

Reference 46

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Observation ebdd1e4f-e591-4e86-9367-286c5b512c14 · outbound

This paper cites ACM Transactions on Graphics38(5) (2019).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp ACM Transactions on Graphics38(5) (2019)

Reference 47

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source=pdf_text observed=2026-08-04T01:08:36.355981Z digest=sha256:712a389e8cb8d88952f795daedda0402248e7df4e7c1bed4245da634ea3d9270

Observation a46a832a-0460-472d-a916-f10c354c1706 · outbound

This paper cites Advances in Neural Information Processing Systems35, 33330–33342 (2022).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Advances in Neural Information Processing Systems35, 33330–33342 (2022)

Reference 48

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source=pdf_text observed=2026-08-04T01:08:36.509090Z digest=sha256:64051753142e9ffc1dacd19ea523e813d9aeaf3c9bc251755109bd64aa62f0f9

Observation 4eda19e5-a673-4177-834e-172fee26ccbb · outbound

This paper cites Pediatric Neurology99, 7–15 (2019).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Pediatric Neurology99, 7–15 (2019)

Reference 49

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source=pdf_text observed=2026-08-04T01:08:36.615853Z digest=sha256:19b820bef894e82f93438ac0268bf300559f2a73509c5f186ee95a2568846c5e

Observation fc7c6a00-f8fc-40df-a146-140d0b9ba932 · outbound

This paper cites Advances in neural information processing systems35, 27061–27074 (2022).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp Advances in neural information processing systems35, 27061–27074 (2022)

Reference 50

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source=pdf_text observed=2026-08-04T01:08:36.772011Z digest=sha256:fc9ff6254526a2947da62a68593c41667cb194c3b8fe894960a3e13b26814d2e

Observation 23df72d3-3263-4698-ab2d-55885584e4a6 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF international conference on computer vision.

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: Proceed- ings of the IEEE/CVF international conference on computer vision

Reference 51

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source=pdf_text observed=2026-08-04T01:08:36.885018Z digest=sha256:3455c89b8de209d9ec6bf5f4b0b9fb875176c366a1be4947487fac7fab2c456c

Observation 80954d06-21cd-4d97-86e6-3e2c7ee68fbe · outbound

This paper cites In: IEEE/CVF International Conference on Computer Vision (ICCV).

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp In: IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 52

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Pith citing papers

No inbound Pith citation observations are available.