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Paper Citation Record · LEDGER

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization

As of 7 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2506.04496.

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

pith.paper-citation-record.v1
2506.04496 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:04.063089Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

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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

63 of 63 outbound references displayed

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External citation measurements

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Outbound references

Observation 606b6f28-1e45-4111-a0c0-f82572e69b2f · outbound

This paper cites an unresolved cited work.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Unresolved cited work

Reference 1

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Observation 9103e902-de4b-443d-bf82-95b7f86784fa · outbound

This paper cites an unresolved cited work.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Unresolved cited work

Reference 2

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Observation 646a7db7-1110-449d-bbd2-7190ec7be7d5 · outbound

This paper cites Face recognition using deep 10 multi-pose representations.2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Face recognition using deep 10 multi-pose representations.2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 2016

Reference 3

Resolution
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Observation 62d4a6a6-068e-43f1-a674-62db6552675e · outbound

This paper cites Past, present, and future of face recognition: A review.Electronics, 9(8), 2020.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Past, present, and future of face recognition: A review.Electronics, 9(8), 2020

Reference 4

Resolution
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Observation 319a0abc-9c72-487b-9144-3ee8efd609d6 · outbound

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Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Unresolved cited work

Reference 5

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Observation a642b598-9fe7-40f4-9820-21b206a2f546 · outbound

This paper cites Learning a high fidelity pose invariant model for high-resolution face frontalization.Advances in Neural In- formation Processing Systems, page 2867–2877, 2018.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Learning a high fidelity pose invariant model for high-resolution face frontalization.Advances in Neural In- formation Processing Systems, page 2867–2877, 2018

Reference 6

Resolution
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Observation f87ddca0-947a-4589-8aad-58f3fb8e51e4 · outbound

This paper cites Pose-robust face recognition via deep residual equivariant mapping.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 5187–5196, 2018.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Pose-robust face recognition via deep residual equivariant mapping.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 5187–5196, 2018

Reference 7

Resolution
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Source-reported events for the cited work

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Observation e6c7dd60-bac7-435e-8022-8f70f675ab59 · outbound

This paper cites Parkhi, and Andrew Zisserman.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Parkhi, and Andrew Zisserman

Reference 8

Resolution
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Observation f8ebdb94-4871-43ff-ba4c-42fe7de954b7 · outbound

This paper cites Uv-gan: Adversarial fa- cial uv map completion for pose-invariant face recognition.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Uv-gan: Adversarial fa- cial uv map completion for pose-invariant face recognition

Reference 9

Resolution
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Observation 21f9ea4e-8ed1-4a80-bf32-fc108a537c45 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 4690–4699, 2019.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Arcface: Additive angular margin loss for deep face recognition.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 4690–4699, 2019

Reference 10

Resolution
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Observation 7b9be96b-a9a0-44b5-afa0-2a389e3570d8 · outbound

This paper cites Marginal loss for deep face recognition.Proceedings of the IEEE Conference on Computer Vision and Pattern Recog- nition (CVPR) Workshops, pages 60–68, 2017.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Marginal loss for deep face recognition.Proceedings of the IEEE Conference on Computer Vision and Pattern Recog- nition (CVPR) Workshops, pages 60–68, 2017

Reference 11

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Observation aea4672d-183b-4fbc-9cca-c68f19b91323 · outbound

This paper cites Generative adversarial networks.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Generative adversarial networks

Reference 12

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Observation cae72d4e-855a-469d-85d7-e467c9c497bb · outbound

This paper cites Gross, I.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Gross, I

Reference 13

Resolution
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Source-reported events for the cited work

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Observation ceb520e4-4c04-4dd9-9aa7-13adb2982363 · outbound

This paper cites Ms-celeb-1m: A dataset and benchmark for large-scale face recognition.European Conference on Computer Vision (ECCV), page 87–102, 2016.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Ms-celeb-1m: A dataset and benchmark for large-scale face recognition.European Conference on Computer Vision (ECCV), page 87–102, 2016

Reference 14

Resolution
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Source-reported events for the cited work

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Observation 44f64079-fd17-4b4e-93d3-dd2bade408fd · outbound

This paper cites Ef- fective face frontalization in unconstrained images.Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 4295–4304, 2015.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Ef- fective face frontalization in unconstrained images.Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 4295–4304, 2015

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 8857f85c-19d9-414b-a41d-c941459cab76 · outbound

This paper cites Deep residual learning for image recognition.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 770–778, 2016.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Deep residual learning for image recognition.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 770–778, 2016

Reference 16

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Observation a09fa90a-d2b4-4962-a641-64297884f0d6 · outbound

This paper cites Enhancing face recognition with self-supervised 3d recon- struction.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 4062–4071, 2022.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Enhancing face recognition with self-supervised 3d recon- struction.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 4062–4071, 2022

Reference 17

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Observation d257a9bf-9106-4a9a-8728-65f66f9c7a25 · outbound

This paper cites Pose-guided photorealistic face rotation.15th IEEE In- ternational Conference on Automatic Face and Gesture Recognition, page 8398–8406, 2018.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Pose-guided photorealistic face rotation.15th IEEE In- ternational Conference on Automatic Face and Gesture Recognition, page 8398–8406, 2018

Reference 18

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Observation cca4eba8-6efc-474e-b68a-14aa8de688f9 · outbound

This paper cites Labeled faces in the wild: A database forstudying face recognition in unconstrained environ- ments.ECCV Workshop on Faces in Real-life Images,.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Labeled faces in the wild: A database forstudying face recognition in unconstrained environ- ments.ECCV Workshop on Faces in Real-life Images,

Reference 19

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Observation e34c65d2-777b-4eeb-aa25-63d30546b59f · outbound

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Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Unresolved cited work

Reference 20

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Observation 7a6c04d5-87c4-4711-ad3f-d5424edbe957 · outbound

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Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Unresolved cited work

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Observation bfbbf7cd-218b-4d1e-abfb-5acad148faf2 · outbound

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Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Unresolved cited work

Reference 22

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Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Unresolved cited work

Reference 23

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Observation e17e4156-fdf2-41dd-abaa-5cadbfbfaca1 · outbound

This paper cites Face recognition systems: A survey.Sensors, 20(2):342, 2020.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Face recognition systems: A survey.Sensors, 20(2):342, 2020

Reference 24

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Observation 61c6c476-1b4c-4849-983e-45f582a166c9 · outbound

This paper cites Li and Anil K.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Li and Anil K

Reference 25

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Source-reported events for the cited work

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Observation 86304093-a0fb-48ee-87d6-73a23d20a96e · outbound

This paper cites Sphereface: Deep hypersphere em- bedding for face recognition.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 212–220, 2017.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Sphereface: Deep hypersphere em- bedding for face recognition.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 212–220, 2017

Reference 26

Resolution
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Observation 8e1a3f9b-d4b3-4618-b4d7-d7014f556574 · outbound

This paper cites Learning pose-aware models for pose- invariant face recognition in the wild.IEEE Transactions on Pattern Analysis and Machine Intelligence, 41:379– 393, 2018.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Learning pose-aware models for pose- invariant face recognition in the wild.IEEE Transactions on Pattern Analysis and Machine Intelligence, 41:379– 393, 2018

Reference 27

Resolution
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Source-reported events for the cited work

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Observation 5a1e8a1d-5115-4479-a78c-82101a654ee4 · outbound

This paper cites Pose-aware face recognition in the wild.Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 4838–4846, 2016.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Pose-aware face recognition in the wild.Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 4838–4846, 2016

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 2ffcb273-bfdd-4e01-93e5-28f21d410542 · outbound

This paper cites Agedb: The first manually collected, in-the- wild age database.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Work- shops, pages 51–59, 2017.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Agedb: The first manually collected, in-the- wild age database.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Work- shops, pages 51–59, 2017

Reference 29

Resolution
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Source-reported events for the cited work

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Observation 6501a5a9-d375-4e17-9444-d82af08d24d6 · outbound

This paper cites Parkhi, Andrea Vedaldi, and Andrew Zisser- man.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Parkhi, Andrea Vedaldi, and Andrew Zisser- man

Reference 30

Resolution
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Source-reported events for the cited work

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Observation f75c1f7e-64d8-45ef-8941-a6fd16248d18 · outbound

This paper cites Unsupervised face normalization with extreme pose and expression in the wild.Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition, pages 9851–9858,.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Unsupervised face normalization with extreme pose and expression in the wild.Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition, pages 9851–9858,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.419025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:03.953716Z digest=sha256:8f21942bdba9609bf9502bc4b52c735fa08fff7f73e79e831e41846d7805a099

Observation 7834bd21-9d78-437a-b557-bcaed56b85be · outbound

This paper cites Synface: Face recognition with synthetic data.Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 10880– 10890, 2021.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Synface: Face recognition with synthetic data.Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 10880– 10890, 2021

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.408901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:03.957323Z digest=sha256:d21ae00950cffa5d6f68888882a4e9d64751ee67da639da08486aa09160af05b

Observation 9102135e-2bef-4f2a-8069-43af455a36f6 · outbound

This paper cites Robust statistical face frontalization.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Robust statistical face frontalization

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.399301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:03.960659Z digest=sha256:ebceeb929138ee5af6212fc2852cb42f757afbab4b98e2ef1ffd8a7901965473

Observation 8a7983c1-a483-4834-9bc7-534bd4f4ca79 · outbound

This paper cites Della Santina, Valeria Potyagaylo, Americo A.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Della Santina, Valeria Potyagaylo, Americo A

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.389453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:03.964054Z digest=sha256:1f75062ad462b4a14496f9b4b87d673c6cc06e70540008d4207f0d2cfb802e8a

Observation 9424541c-e356-4874-83f5-f03388bb85db · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.Proceedings of the IEEE Conference on Com- puter Vision and Pattern Recognition (CVPR), pages 815– 823, 2015.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Facenet: A unified embedding for face recognition and clustering.Proceedings of the IEEE Conference on Com- puter Vision and Pattern Recognition (CVPR), pages 815– 823, 2015

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.379315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:03.967801Z digest=sha256:6f464eb4abe81210972483e5facd15221d7cd7554c19945906db971e025fa3ef

Observation 4219fe35-4134-48f5-813c-9621ec9614c6 · outbound

This paper cites Patel, Rama Chellappa, and David W.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Patel, Rama Chellappa, and David W

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.369548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:03.970990Z digest=sha256:7a2454bd229f6b2c3805ab121f216f7a19598db4b1daaa8f128086788c736408

Observation fcf24d69-54df-41b1-9afa-cad8a71c3732 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:03.974495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:03.974495Z digest=sha256:cdfcbf18b269c9b36a5287fd11e3ad63f63d2c7e4c310bd7d298b7790036b83c

Observation 19033a6f-ec6f-4661-b579-e568f922ea6c · outbound

This paper cites an unresolved cited work.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:04.360079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:03.978165Z digest=sha256:62332e3e6e9d04b6859bf5c0251e97a8af57655fac04be4fb378f3aefa2c9bb0

Observation d9c635ad-cf63-426b-94b5-55b569e7a3e1 · outbound

This paper cites Disentangled repre- sentation learning gan for pose-invariant face recognition.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Disentangled repre- sentation learning gan for pose-invariant face recognition

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.350436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:03.982017Z digest=sha256:c0e323356a3e3507fe89b439e78ab6effa27895c3e8161f9c052d4a80573eba5

Observation 4d27c62b-1d1f-4a38-8856-05e52007e37b · outbound

This paper cites Additive margin softmax for face verification.IEEE Signal Processing Letters, 25:926–930, 2018.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Additive margin softmax for face verification.IEEE Signal Processing Letters, 25:926–930, 2018

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.340956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:03.985213Z digest=sha256:457cfd4aa139f1f72d62c9ac2ee1f5a7d642f556962ede52cb7ea0059883a648

Observation 0cc4aafa-6570-4f81-b727-bf16712d9c78 · outbound

This paper cites Pseudo facial generation with extreme poses for face recognition.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 1994–2003, 2021.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Pseudo facial generation with extreme poses for face recognition.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 1994–2003, 2021

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.331431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:03.988374Z digest=sha256:bb42a56592767f2468f77875d362cd1fc7ec8be287437975ff18bb6d7bb44ca6

Observation 93df1319-9f15-4d24-8e47-cb0bee448662 · outbound

This paper cites Cosface: Large margin cosine loss for deep face recognition.Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 5265–5274, 2018.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Cosface: Large margin cosine loss for deep face recognition.Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 5265–5274, 2018

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.321654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:03.991558Z digest=sha256:8dc598f497cae0e1db37b8efe70ee79339ef616b2e65fdf789703d02f9cd99d1

Observation 1da7d8db-f18b-49eb-99a4-28ea39641adc · outbound

This paper cites Deep face recognition: A survey.Neurocomputing, Elsevier, 429:215–244, 2021.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Deep face recognition: A survey.Neurocomputing, Elsevier, 429:215–244, 2021

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.311654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:03.994779Z digest=sha256:bca6fa4cfa0ef6c6d6dde1f2315c553103fa5dded5a76f0f92a48f010346c361

Observation e2bcd66f-9a85-4ab4-9cac-9359a8df197d · outbound

This paper cites Anti-occlusion face recognition algorithm based on a deep convolutional neural network.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Anti-occlusion face recognition algorithm based on a deep convolutional neural network

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.302126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:03.998463Z digest=sha256:8b195e742568f5026fa0cbb74a08f15dd49923045fe7abb2d6e032a45555ff08

Observation 7adc9495-4782-4e07-8178-6c450b694109 · outbound

This paper cites Learning flow-based feature warping for face frontalization with illumination inconsistent supervision.European Conference on Com- puter Vision 2020, page 558–574, 2020.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Learning flow-based feature warping for face frontalization with illumination inconsistent supervision.European Conference on Com- puter Vision 2020, page 558–574, 2020

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.291882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.001984Z digest=sha256:161ab5280249ee8da50a2050065dc108177e03f6167ab21d77b8e247c991eceb

Observation 590a085e-6c56-4b4e-9fce-e7f6dce30445 · outbound

This paper cites A discriminative feature learning approach for deep face recognition.European Conference on Computer Vision (ECCV) 2016, page 499–515, 2016.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization A discriminative feature learning approach for deep face recognition.European Conference on Computer Vision (ECCV) 2016, page 499–515, 2016

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.281576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.005271Z digest=sha256:d7f4f3a298d875566d71a4026fa0b7abaf7bedf900cd910bd56425b4427ef8b6

Observation 2ecf0ad6-4aea-4ead-96cc-6a258ccf9a60 · outbound

This paper cites Cashman, and Jamie Shotton.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Cashman, and Jamie Shotton

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.271570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.008782Z digest=sha256:ecd4969b141803b546425a39fc256073bef5edad83d5d36d01fcd085bbfd866b

Observation 27ccf192-c660-4466-8851-e60cea958ebc · outbound

This paper cites A light cnn for deep face representation with noisy labels.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization A light cnn for deep face representation with noisy labels

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.262245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.012042Z digest=sha256:05453ca6a39affa309f873b77932956ef1de6b6c053097d77ae75bf9bdc34d3e

Observation 10659050-1d61-490c-8362-3161aa7b10aa · outbound

This paper cites Condi- tional convolutional neural network for modality-aware face recognition.Proceedings of the IEEE International Conference on Computer Vision (ICCV), pages 3667– 3675, 2015.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Condi- tional convolutional neural network for modality-aware face recognition.Proceedings of the IEEE International Conference on Computer Vision (ICCV), pages 3667– 3675, 2015

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.252570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.015534Z digest=sha256:3a2f5b54373957198f661d3ef8c113b6b4ee852a0239146bf5561baebea504cf

Observation d40fae7d-a28e-4e7b-927f-7d54c6fccaf5 · outbound

This paper cites Multi-view face synthesis via pro- gressive face flow.IEEE Transactions on Image Process- ing, 30:6024–6035, 2021.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Multi-view face synthesis via pro- gressive face flow.IEEE Transactions on Image Process- ing, 30:6024–6035, 2021

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.242951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.018878Z digest=sha256:aedfcb0be65314105ab7aa67a0ab21714dce0426f330ec6a2a7c2ce6c60c8685

Observation 5cfbef15-6f54-4f3d-93ee-2a00c4a7f9f3 · outbound

This paper cites an unresolved cited work.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:04.233124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.022123Z digest=sha256:2656c15da718644d04e098bb3376d936684adb3e5491aa0699c1754e401f4c3c

Observation cf94b533-a6ea-4f76-80ab-dd0e79d67dee · outbound

This paper cites Rotating your face using multi-task deep neural network.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 676–684, 2015.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Rotating your face using multi-task deep neural network.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 676–684, 2015

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.223368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.025248Z digest=sha256:5eaa67512a63696495c989313eccfc0de8bf0080b32d3bd250eaa19face273b5

Observation 99c45a3c-0b49-4668-9883-2de879e0cff3 · outbound

This paper cites Multi-task convolutional neural network for pose-invariant face recognition.IEEE Trans- actions on Image Processing, pages 964–975, 2017.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Multi-task convolutional neural network for pose-invariant face recognition.IEEE Trans- actions on Image Processing, pages 964–975, 2017

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.213653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.028539Z digest=sha256:c20c09b6fd9d7ee0c2fa0c9ed369ab604302bf03b645c0d91d3d30548feaf288

Observation 91c8714e-b44b-482d-a9a3-9cb567d71ae9 · outbound

This paper cites Towards large-pose face frontalization in the wild.Proceedings of the IEEE International Confer- ence on Computer Vision (ICCV), pages 3990–3999, 2017.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Towards large-pose face frontalization in the wild.Proceedings of the IEEE International Confer- ence on Computer Vision (ICCV), pages 3990–3999, 2017

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.203669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.032298Z digest=sha256:21299d230829c3683b82c95aafc0d533e2c853b55f932a20a3e5abf1bfef1efd

Observation b94a16df-950f-4d47-8fd0-aee304cf3772 · outbound

This paper cites Robinson, and Yun Fu.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Robinson, and Yun Fu

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.192578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.035784Z digest=sha256:290e6b195baed579ceb47cb05294782ea55c5afb9f5be4d7705cd81029643ef3

Observation eab5f8e2-2fcf-43ff-ab9a-f7eca3ba3576 · outbound

This paper cites Range loss for deep face recognition with long-tailed training data.Proceedings of the IEEE Inter- national Conference on Computer Vision (ICCV), pages 5409–5418, 2017.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Range loss for deep face recognition with long-tailed training data.Proceedings of the IEEE Inter- national Conference on Computer Vision (ICCV), pages 5409–5418, 2017

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.181943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.039233Z digest=sha256:7a231150cf43ea546dd7e2c2450575c939b581ab21258d499143c665829ad9be

Observation f6c84959-e22b-4825-8bfe-c77868350c5e · outbound

This paper cites Pose-invariant face recogni- tion via adaptive angular distillation.Proceedings of the AAAI Conference on Artificial Intelligence, 36(3):3390– 3398, Jun.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Pose-invariant face recogni- tion via adaptive angular distillation.Proceedings of the AAAI Conference on Artificial Intelligence, 36(3):3390– 3398, Jun

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.171755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.042604Z digest=sha256:2229437bf7c27aa4fa0a7b34689db2b0eab6315faddedad40d79527fcdf18550

Observation cacc07ea-00b4-4773-b302-1686feaa675a · outbound

This paper cites Towards pose invariant face recognition in the wild.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2207–2216, 2018.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Towards pose invariant face recognition in the wild.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2207–2216, 2018

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.161854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.046097Z digest=sha256:40e261e5aabb312cf355257216f2bc79ec0a231a3940ec125bd1b3cf9535a0a4

Observation 2a06f62f-3b78-432c-b2fc-0a7d9011d4e9 · outbound

This paper cites 3d-aided deep pose-invariant face recognition.IJCAI, 2:11, 2018.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization 3d-aided deep pose-invariant face recognition.IJCAI, 2:11, 2018

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.151333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.049516Z digest=sha256:d301f9c666fe85501d6f97b417fe222207a3e08eebb75c2fcaa38bba7bad07be

Observation b511d4d6-15c2-471e-9226-a700fb6370c5 · outbound

This paper cites an unresolved cited work.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:04.141216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.052816Z digest=sha256:faffff02d03faa266539308d53d0a62d88949a1b4ce62cbf129838f430718370

Observation 66306aa0-789b-4236-a8f9-85cff1151887 · outbound

This paper cites Cross-pose lfw: A database for studying cross-pose face recognition in un- constrained environments.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Cross-pose lfw: A database for studying cross-pose face recognition in un- constrained environments

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.130803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.056344Z digest=sha256:f61685bd369780647750e3a9e7bfc6c668a0988e920648a03587aa3975f02d20

Observation 7b67d74c-d3d8-4cf9-8615-32ff4a2fcdd6 · outbound

This paper cites Cross-age lfw: A database for studying cross-age face recognition in unconstrained environments.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Cross-age lfw: A database for studying cross-age face recognition in unconstrained environments

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:04.119731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.059685Z digest=sha256:bba47743b58fe7887a226555258e14782b1d6971881d7234701aa681addc059a

Observation 9ddeec77-ce8c-43bc-b6c3-62e4f8dfcf2a · outbound

This paper cites an unresolved cited work.

Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:04.106493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:46:04.063089Z digest=sha256:065ca0a595e59274b275b12dea1be2f39e3e3dffcaa10acaf54b241d032c6b16

Pith citing papers

No inbound Pith citation observations are available.