Vec2Face+ for Face Dataset Generation | Paper Citation Record

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This paper cites FRCSyn challenge at CVPR 2024: Face recognition challenge in the era of synthetic data,.

Vec2Face+ for Face Dataset Generation FRCSyn challenge at CVPR 2024: Face recognition challenge in the era of synthetic data,

Reference 1

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Observation 10542001-afbf-4e8a-b24c-c0a20971fdeb · outbound

This paper cites FRCSyn challenge at W ACV 2024: Face recognition challenge in the era of synthetic data,.

Vec2Face+ for Face Dataset Generation FRCSyn challenge at W ACV 2024: Face recognition challenge in the era of synthetic data,

Reference 2

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Observation b8df7f27-2bb1-4746-b6cf-2a167dbbde95 · outbound

This paper cites Sdfr: Synthetic data for face recognition competition,.

Vec2Face+ for Face Dataset Generation Sdfr: Synthetic data for face recognition competition,

Reference 3

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Observation b1b1f175-90f3-48a3-a58b-a82d38e1aeba · outbound

This paper cites 50 years of automated face recognition,.

Vec2Face+ for Face Dataset Generation 50 years of automated face recognition,

Reference 4

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Observation 3b8e869b-6dd6-4022-8460-ba6a8b86ff00 · outbound

This paper cites DCFace: Synthetic face generation with dual condition diffusion model,.

Vec2Face+ for Face Dataset Generation DCFace: Synthetic face generation with dual condition diffusion model,

Reference 5

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Observation 557915db-f99a-41cd-a7b3-1a7a155be329 · outbound

This paper cites IDiff-face: Synthetic-based face recognition through fizzy identity-conditioned dif- fusion model,.

Vec2Face+ for Face Dataset Generation IDiff-face: Synthetic-based face recognition through fizzy identity-conditioned dif- fusion model,

Reference 6

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Observation 750bff76-6e1f-477d-a3aa-5b3bb993501c · outbound

This paper cites Vec2Face: Scaling face dataset generation with loosely constrained vectors,.

Vec2Face+ for Face Dataset Generation Vec2Face: Scaling face dataset generation with loosely constrained vectors,

Reference 7

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Observation a56d607c-69d3-4372-ae84-07f5d3c7423a · outbound

This paper cites SynFace: Face recognition with synthetic data,.

Vec2Face+ for Face Dataset Generation SynFace: Face recognition with synthetic data,

Reference 8

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Observation d3104913-b1cd-47f4-859d-887537c64db7 · outbound

This paper cites SFace: Privacy-friendly and accurate face recognition using synthetic data,.

Vec2Face+ for Face Dataset Generation SFace: Privacy-friendly and accurate face recognition using synthetic data,

Reference 9

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Observation ead1ff4f-a739-4f2d-ae0d-332e0eb32453 · outbound

This paper cites The chroma-fit dataset: Characterizing human ranges of melanin for increased tone-awareness,.

Vec2Face+ for Face Dataset Generation The chroma-fit dataset: Characterizing human ranges of melanin for increased tone-awareness,

Reference 10

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Observation 1602f20b-ade8-49a2-90b1-7404d3689386 · outbound

This paper cites Face recognition accuracy across demographics: Shining a light into the problem,.

Vec2Face+ for Face Dataset Generation Face recognition accuracy across demographics: Shining a light into the problem,

Reference 11

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Observation cbb50a85-e28f-4c2b-8380-4ed03b8a9597 · outbound

This paper cites A comparative study on illumination preprocessing in face recognition,.

Vec2Face+ for Face Dataset Generation A comparative study on illumination preprocessing in face recognition,

Reference 12

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Observation a21fe6f9-95f6-4c2e-8784-d41fdb461218 · outbound

This paper cites Multi-pie,.

Vec2Face+ for Face Dataset Generation Multi-pie,

Reference 13

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Observation e203cb53-5772-4999-9ff8-3e6923b7ac63 · outbound

This paper cites The cmu pose, illumination, and ex- pression database,.

Vec2Face+ for Face Dataset Generation The cmu pose, illumination, and ex- pression database,

Reference 14

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Observation 270722a9-eecc-466a-a5e7-a1b881b14576 · outbound

This paper cites Low-resolution face recognition,.

Vec2Face+ for Face Dataset Generation Low-resolution face recognition,

Reference 15

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Observation e46758c1-82c8-4e57-b40f-69212479eb25 · outbound

This paper cites Cross-quality LFW: A database for analyzing cross-resolution image face recognition in unconstrained environments,.

Vec2Face+ for Face Dataset Generation Cross-quality LFW: A database for analyzing cross-resolution image face recognition in unconstrained environments,

Reference 16

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Observation 6b19f7e8-c43e-4e4e-ad2f-edd414eee596 · outbound

This paper cites Logical consistency and greater descriptive power for facial hair attribute learning,.

Vec2Face+ for Face Dataset Generation Logical consistency and greater descriptive power for facial hair attribute learning,

Reference 17

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Observation f0a3da94-9abc-43d9-8745-208d102e4227 · outbound

This paper cites Beard Segmentation and Recognition Bias.

Vec2Face+ for Face Dataset Generation Beard Segmentation and Recognition Bias

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:59:44.124794Z

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Observation d5f25d63-af80-49f1-94f9-8be0e8166b8b · outbound

This paper cites Can the accuracy bias by facial hairstyle be reduced through balancing the training data?.

Vec2Face+ for Face Dataset Generation Can the accuracy bias by facial hairstyle be reduced through balancing the training data?

Reference 19

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Observation 8ed55f7e-ad34-40c0-b0eb-839ee3d8dccf · outbound

This paper cites A comprehensive study on face recognition biases beyond demographics,.

Vec2Face+ for Face Dataset Generation A comprehensive study on face recognition biases beyond demographics,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:39.378531Z

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Observation 5abf7cd6-3779-48bd-9cc7-cc6c08dc8967 · outbound

This paper cites The gender gap in face recognition accuracy is a hairy problem,.

Vec2Face+ for Face Dataset Generation The gender gap in face recognition accuracy is a hairy problem,

Reference 21

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Observation 3ffcd0c3-d3e8-4dd3-8a08-6141babec3e5 · outbound

This paper cites The AR face database,.

Vec2Face+ for Face Dataset Generation The AR face database,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.735323Z

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Observation 0bac8a27-496b-4d7f-ae63-7b14ae8280be · outbound

This paper cites IARPA janus benchmark - C: face dataset and protocol,.

Vec2Face+ for Face Dataset Generation IARPA janus benchmark - C: face dataset and protocol,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.726991Z

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Observation a2d226d2-d85f-42b6-ab4d-7c1e956012aa · outbound

This paper cites Impact of sunglasses on one-to-many facial identification accuracy,.

Vec2Face+ for Face Dataset Generation Impact of sunglasses on one-to-many facial identification accuracy,

Reference 24

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Observation 4b96e423-1cbb-4063-bfed-dad176cf4787 · outbound

This paper cites Facial hair area in face recognition across demographics: Small size, big effect,.

Vec2Face+ for Face Dataset Generation Facial hair area in face recognition across demographics: Small size, big effect,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.709270Z

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Observation 4e7d079c-5a9a-4e53-ac28-931981284240 · outbound

This paper cites Learning Face Representation from Scratch.

Vec2Face+ for Face Dataset Generation Learning Face Representation from Scratch

Reference 26

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Observation 97962181-a1c7-4c45-b7eb-04376173ebb3 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Vec2Face+ for Face Dataset Generation Lora: Low-rank adaptation of large language models

Reference 27

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Observation 1d759ac8-2d19-4121-93fc-23d506fce5c6 · outbound

This paper cites What is a goldilocks face verification test set?.

Vec2Face+ for Face Dataset Generation What is a goldilocks face verification test set?

Reference 28

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Observation 95d9d408-2865-418c-b893-e7d2003f6358 · outbound

This paper cites IARPA Janus benchmark-b face dataset,.

Vec2Face+ for Face Dataset Generation IARPA Janus benchmark-b face dataset,

Reference 29

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Observation fdf1def5-e0b7-4aa5-8b32-1bcda968bc2c · outbound

This paper cites Doppelver: A benchmark for face verification,.

Vec2Face+ for Face Dataset Generation Doppelver: A benchmark for face verification,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.682054Z

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Observation f20de15e-6c4a-4002-ab90-173bd8aede12 · outbound

This paper cites Face recognition: too bias, or not too bias?.

Vec2Face+ for Face Dataset Generation Face recognition: too bias, or not too bias?

Reference 31

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Observation 87509944-c2a7-4236-b000-6e21a9b47453 · outbound

This paper cites What should be balanced in a.

Vec2Face+ for Face Dataset Generation What should be balanced in a

Reference 32

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Observation aa46fe99-db21-495d-b1ab-3ab1d1ad3edb · outbound

This paper cites Webface260m: A benchmark for million- scale deep face recognition,.

Vec2Face+ for Face Dataset Generation Webface260m: A benchmark for million- scale deep face recognition,

Reference 33

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Observation 55be2851-b32b-4e2c-9848-849dbf6356fb · outbound

This paper cites Taming transformers for high- resolution image synthesis,.

Vec2Face+ for Face Dataset Generation Taming transformers for high- resolution image synthesis,

Reference 34

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Observation 9a144a07-931e-4854-9d26-b1e7ade214c1 · outbound

This paper cites Mage: Masked generative encoder to unify representation learning and image synthesis,.

Vec2Face+ for Face Dataset Generation Mage: Masked generative encoder to unify representation learning and image synthesis,

Reference 35

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Observation 9e3c54cc-16e8-4841-86a9-04c75a90e2de · outbound

This paper cites Scalable diffusion models with transformers,.

Vec2Face+ for Face Dataset Generation Scalable diffusion models with transformers,

Reference 36

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Observation 1e09fc93-99ce-48b3-ae64-260944160fcb · outbound

This paper cites All are worth words: a VIT backbone for score-based diffusion models,.

Vec2Face+ for Face Dataset Generation All are worth words: a VIT backbone for score-based diffusion models,

Reference 37

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Observation f090bd6c-abd4-4943-8f00-a2f483dbf4e7 · outbound

This paper cites Masked diffusion trans- former is a strong image synthesizer,.

Vec2Face+ for Face Dataset Generation Masked diffusion trans- former is a strong image synthesizer,

Reference 38

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Observation b9450bed-9350-4eb8-a1d5-e36e219d1ece · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction,.

Vec2Face+ for Face Dataset Generation Visual autoregressive modeling: Scalable image generation via next-scale prediction,

Reference 39

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Observation f4f1cb9f-ee5b-466d-ad46-10f5ae04bc3d · outbound

This paper cites FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention.

Vec2Face+ for Face Dataset Generation FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention

Reference 40

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Observation 13260848-a7c4-4599-9034-d978db2af1a2 · outbound

This paper cites PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models.

Vec2Face+ for Face Dataset Generation PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models

Reference 41

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Observation b07208c9-9ab8-4d98-b2a9-403613ea4855 · outbound

This paper cites Photomaker: Customizing realistic human photos via stacked id embedding,.

Vec2Face+ for Face Dataset Generation Photomaker: Customizing realistic human photos via stacked id embedding,

Reference 42

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Observation 0b82ed38-b014-4d0c-ad46-22ae329d7d44 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Vec2Face+ for Face Dataset Generation Learning transferable visual models from natural language supervision,

Reference 43

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Observation 3b79af29-0e20-4e34-b6f7-6e44deb77a18 · outbound

This paper cites Arc2Face: A Foundation Model for ID-Consistent Human Faces.

Vec2Face+ for Face Dataset Generation Arc2Face: A Foundation Model for ID-Consistent Human Faces

Reference 44

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Observation 02aec407-9dc1-4df4-8261-eca6f2454c46 · outbound

This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.

Vec2Face+ for Face Dataset Generation InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 45

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Observation b9663342-4dd7-4943-9031-de52c78a2b60 · outbound

This paper cites Face0: Instanta- neously conditioning a text-to-image model on a face,.

Vec2Face+ for Face Dataset Generation Face0: Instanta- neously conditioning a text-to-image model on a face,

Reference 46

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Observation 307e6862-2b0b-4dc8-8448-27a0619b05ac · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Vec2Face+ for Face Dataset Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 47

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Observation b3268ded-fb0d-47d4-9072-affb6484d2e0 · outbound

This paper cites Fake it till you make it: face analysis in the wild using synthetic data alone,.

Vec2Face+ for Face Dataset Generation Fake it till you make it: face analysis in the wild using synthetic data alone,

Reference 48

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Observation 3d83e874-5c8b-4d5e-a515-d220e8cdaa77 · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

Vec2Face+ for Face Dataset Generation Adding conditional control to text-to-image diffusion models,

Reference 49

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Observation 638d5bed-0388-4f8c-ac52-405b6c426479 · outbound

This paper cites Unsuper- vised face recognition using unlabeled synthetic data,.

Vec2Face+ for Face Dataset Generation Unsuper- vised face recognition using unlabeled synthetic data,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.545325Z

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Observation a20897a4-4c1a-4096-82f0-8621ea391134 · outbound

This paper cites SFace2: Synthetic-based face recognition with w-space identity-driven sam- pling,.

Vec2Face+ for Face Dataset Generation SFace2: Synthetic-based face recognition with w-space identity-driven sam- pling,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.536096Z

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Observation 9a82f353-207b-4f13-ab02-9072765e071c · outbound

This paper cites ExFace- GAN: Exploring identity directions in GAN’s learned latent space for synthetic identity generation,.

Vec2Face+ for Face Dataset Generation ExFace- GAN: Exploring identity directions in GAN’s learned latent space for synthetic identity generation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.526937Z

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Observation ddbd63a9-fe36-4aef-b173-5a4e09868b01 · outbound

This paper cites Ilvr: Conditioning method for denoising diffusion probabilistic models,.

Vec2Face+ for Face Dataset Generation Ilvr: Conditioning method for denoising diffusion probabilistic models,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.517429Z

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Observation fa959df1-7561-411d-91a4-0213f6b3999a · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Vec2Face+ for Face Dataset Generation High- resolution image synthesis with latent diffusion models,

Reference 54

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Observation ef8099c1-eb3b-423a-9527-d66a8106c2a9 · outbound

This paper cites DigiFace-1M: 1 million digital face images for face recognition,.

Vec2Face+ for Face Dataset Generation DigiFace-1M: 1 million digital face images for face recognition,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.502056Z

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Observation e2d48ae2-d340-413e-9ce6-ddf69e751dec · outbound

This paper cites Identity-driven three-player generative adversarial network for synthetic-based face recognition,.

Vec2Face+ for Face Dataset Generation Identity-driven three-player generative adversarial network for synthetic-based face recognition,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.493400Z

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Observation 965f3271-1c9c-4c59-b968-6e8181b0308e · outbound

This paper cites CemiFace: Center-based semi-hard synthetic face generation for face recognition,.

Vec2Face+ for Face Dataset Generation CemiFace: Center-based semi-hard synthetic face generation for face recognition,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.484186Z

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Observation 7c9c598d-a544-43ee-8c78-8d0a87b8bee7 · outbound

This paper cites Hyperface: Generating synthetic face recognition datasets by exploring face embedding hypersphere,.

Vec2Face+ for Face Dataset Generation Hyperface: Generating synthetic face recognition datasets by exploring face embedding hypersphere,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.474129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a35406b-7471-439e-8f6c-8f741cb29116 · outbound

This paper cites Synthetic face datasets generation via latent space exploration from brownian identity diffu- sion,.

Vec2Face+ for Face Dataset Generation Synthetic face datasets generation via latent space exploration from brownian identity diffu- sion,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.464978Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 25ee100f-3bd6-4031-825a-b719244fd5a4 · outbound

This paper cites AgeDB: The first manually collected, in-the-wild age database,.

Vec2Face+ for Face Dataset Generation AgeDB: The first manually collected, in-the-wild age database,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.456122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4540a8a6-5679-4f43-a433-18798c9f6cf8 · outbound

This paper cites Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments.

Vec2Face+ for Face Dataset Generation Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:43.748416Z

Source-reported events for the cited work

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Observation ba6fcd4d-d17f-47b8-b8ae-e55b7db51d04 · outbound

This paper cites Frontal to profile face verification in the wild,.

Vec2Face+ for Face Dataset Generation Frontal to profile face verification in the wild,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.447077Z

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Observation fbcdaaab-c80a-4fba-8b16-da91bf7a5748 · outbound

This paper cites Cross-pose LFW: A database for studying cross-pose face recognition in unconstrained environments,.

Vec2Face+ for Face Dataset Generation Cross-pose LFW: A database for studying cross-pose face recognition in unconstrained environments,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.437412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 313236b9-697a-4009-9305-4432550af94e · outbound

This paper cites Bisenet: Bilateral segmentation network for real-time semantic segmentation,.

Vec2Face+ for Face Dataset Generation Bisenet: Bilateral segmentation network for real-time semantic segmentation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.427212Z

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Observation 9d1dd4c2-7917-4c55-9a2c-e0356c7aa83f · outbound

This paper cites Magface: A universal representation for face recognition and quality assessment,.

Vec2Face+ for Face Dataset Generation Magface: A universal representation for face recognition and quality assessment,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.417714Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 95cc8291-29f1-45db-8301-5624f560a862 · outbound

This paper cites How does gender balance in training data affect face recognition accuracy?.

Vec2Face+ for Face Dataset Generation How does gender balance in training data affect face recognition accuracy?

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.407918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 93c8819f-14a5-481e-b8b1-ab4d19646bd1 · outbound

This paper cites img2pose: Face alignment and detection via 6dof, face pose estimation,.

Vec2Face+ for Face Dataset Generation img2pose: Face alignment and detection via 6dof, face pose estimation,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.398359Z

Source-reported events for the cited work

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Observation 44cd47cb-4e8c-4cca-9ab6-cff828f25edb · outbound

This paper cites A dual-direction attention mixed feature network for facial expression recognition,.

Vec2Face+ for Face Dataset Generation A dual-direction attention mixed feature network for facial expression recognition,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.388174Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f731b615-22b8-43cf-810e-d139cf790c0e · outbound

This paper cites Affectnet: A database for facial expression, valence, and arousal computing in the wild,.

Vec2Face+ for Face Dataset Generation Affectnet: A database for facial expression, valence, and arousal computing in the wild,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.379176Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fb5f2d18-769b-4c25-8d40-f2321ef501e7 · outbound

This paper cites Logicnet: A logical consistency embedded face attribute learning network,.

Vec2Face+ for Face Dataset Generation Logicnet: A logical consistency embedded face attribute learning network,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.370331Z

Source-reported events for the cited work

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Observation 9e78081e-0b5c-424c-984b-797899b81fff · outbound

This paper cites Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation,.

Vec2Face+ for Face Dataset Generation Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.361545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9072cef6-b903-4547-a507-9c89589446b0 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition,.

Vec2Face+ for Face Dataset Generation Arcface: Additive angular margin loss for deep face recognition,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.352162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e432f9d0-7af5-456f-a715-2ca0eec3807b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Vec2Face+ for Face Dataset Generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:43.782821Z

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Observation e1e0351f-37fb-4d60-8243-8e4b64c287d2 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Vec2Face+ for Face Dataset Generation Masked autoencoders are scalable vision learners,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:43.786159Z

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Unavailable: canonical work link unavailable.

Observation 1c6b4a97-6422-4d78-af28-44cb699afdb2 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Vec2Face+ for Face Dataset Generation The unreasonable effectiveness of deep features as a perceptual metric,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:43.788816Z

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Unavailable: canonical work link unavailable.

Observation 21fbf2dc-10ec-4501-8ca6-d87626d42a64 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

Vec2Face+ for Face Dataset Generation Very deep convolutional networks for large-scale image recognition,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.329869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4e00f87d-36f6-4f5e-a824-745e0c6c905d · outbound

This paper cites Toward robust and unconstrained full range of rotation head pose estimation,.

Vec2Face+ for Face Dataset Generation Toward robust and unconstrained full range of rotation head pose estimation,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.319687Z

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Observation 1164aa5a-21eb-422c-9d76-c9b1b3373ca0 · outbound

This paper cites Partial FC: training 10 million identities on a single machine,.

Vec2Face+ for Face Dataset Generation Partial FC: training 10 million identities on a single machine,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.310261Z

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Observation a89987df-a1fe-443a-9ca7-bf0d64e9c8c7 · outbound

This paper cites Labeled faces in the wild: A database forstudying face recognition in unconstrained environments,.

Vec2Face+ for Face Dataset Generation Labeled faces in the wild: A database forstudying face recognition in unconstrained environments,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.300795Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c371f528-a1ff-4a33-96c9-27a65560ff88 · outbound

This paper cites Morph: A longitudinal image database of normal adult age-progression,.

Vec2Face+ for Face Dataset Generation Morph: A longitudinal image database of normal adult age-progression,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.291871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6266613b-293c-43ca-8687-4dadc3ed3ecc · outbound

This paper cites Distinguishing identical twins by face recognition,.

Vec2Face+ for Face Dataset Generation Distinguishing identical twins by face recognition,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.282432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bd222069-c246-4d45-96ce-77f775a50fd2 · outbound

This paper cites ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition.

Vec2Face+ for Face Dataset Generation ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:43.809471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80e68f5a-76c2-4f90-abb8-92f44911fd7d · outbound

This paper cites Deep residual learning for image recognition,.

Vec2Face+ for Face Dataset Generation Deep residual learning for image recognition,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:43.812410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6297f0d-55fd-4662-89d0-1335ae4b5323 · outbound

This paper cites Squeeze-and-excitation networks,.

Vec2Face+ for Face Dataset Generation Squeeze-and-excitation networks,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:43.815423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49f6ea34-02d7-4057-832f-1b5b84939c21 · outbound

This paper cites Analysis of gender inequality in face recognition accuracy,.

Vec2Face+ for Face Dataset Generation Analysis of gender inequality in face recognition accuracy,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.261685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b85d042d-49e5-4b91-b6c2-46f0cb2747c5 · outbound

This paper cites Issues related to face recognition accuracy varying based on race and skin tone,.

Vec2Face+ for Face Dataset Generation Issues related to face recognition accuracy varying based on race and skin tone,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.252666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3487df9b-a0a9-40e2-8095-ad7f9207d09c · outbound

This paper cites ‘racist and sexist’ facial recognition cameras could lead to false arrests,.

Vec2Face+ for Face Dataset Generation ‘racist and sexist’ facial recognition cameras could lead to false arrests,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.243815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 852aabc0-377b-42a5-b939-07ee9b507df7 · outbound

This paper cites Facial recognition is accurate, if you’re a white guy,.

Vec2Face+ for Face Dataset Generation Facial recognition is accurate, if you’re a white guy,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.234255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 93f401a2-6f44-435d-b63e-30cbb44a67f1 · outbound

This paper cites Emerging from AI utopia,.

Vec2Face+ for Face Dataset Generation Emerging from AI utopia,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.224437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e632818a-237c-49a2-8841-5e4e61d41e25 · outbound

This paper cites Gender and racial bias found in amazon’s facial recognition technology (again),.

Vec2Face+ for Face Dataset Generation Gender and racial bias found in amazon’s facial recognition technology (again),

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.215097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 55d07f46-2635-42d3-9853-227c9090c9e2 · outbound

This paper cites for distinguished contributions to the field of computer vision and pattern recognition, biometrics, object recognition and data science.

Vec2Face+ for Face Dataset Generation for distinguished contributions to the field of computer vision and pattern recognition, biometrics, object recognition and data science

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:44.205148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Reference resolution

Outbound references

Pith citing papers