Paper Citation Record · LEDGER

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition

As of 21 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2505.04306.

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

pith.paper-citation-record.v1
2505.04306 v1

Coverage vector

measured 45 of 45 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation de815357-4bec-46a4-9ea7-6929c6fc2d4a · outbound

This paper cites Face recognition systems: A survey,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Face recognition systems: A survey,

Reference 1

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Observation a1e38876-d71f-409a-a2fd-e069985f894c · outbound

This paper cites Deep learning face representa- tion by joint identification-verification,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Deep learning face representa- tion by joint identification-verification,

Reference 2

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Observation f2ef1c0a-ef97-475d-b9eb-93566eb4e884 · outbound

This paper cites 3d-aided dual- agent gans for unconstrained face recognition,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition 3d-aided dual- agent gans for unconstrained face recognition,

Reference 3

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Observation 49013a54-6c3d-4197-8bb4-0319780eaaf5 · outbound

This paper cites Facenet: A unified embed- ding for face recognition and clustering,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Facenet: A unified embed- ding for face recognition and clustering,

Reference 4

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Observation 4c5cd4db-0071-4c18-bc7a-873dfb1ebee1 · outbound

This paper cites Vggface2: A dataset for recognising faces across pose and age,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Vggface2: A dataset for recognising faces across pose and age,

Reference 5

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Observation f5a78034-8ebd-4736-8d82-783874079784 · outbound

This paper cites Cosface: Large margin cosine loss for deep face recognition,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Cosface: Large margin cosine loss for deep face recognition,

Reference 6

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Observation 0d9fd954-e7f5-414a-bc8c-f40908186373 · outbound

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

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Arcface: Additive angular margin loss for deep face recognition,

Reference 7

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Observation d44771f8-1805-40b3-a220-d8860a1597e4 · outbound

This paper cites Asymmetric joint learning for heterogeneous face recognition,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Asymmetric joint learning for heterogeneous face recognition,

Reference 8

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Observation 25ae9ceb-c432-4cbd-bb92-734142249dba · outbound

This paper cites A survey of face recognition techniques under occlusion,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition A survey of face recognition techniques under occlusion,

Reference 9

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Observation 1f6043e0-7562-4183-a313-ad5562d452cc · outbound

This paper cites Face recognition with local binary patterns,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Face recognition with local binary patterns,

Reference 10

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Observation 2c7c2379-315e-44b4-9a67-0f9b58a047a2 · outbound

This paper cites Face description with local binary patterns: Application to face recognition,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Face description with local binary patterns: Application to face recognition,

Reference 11

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Observation e86c9e77-3547-4052-9ad7-fe6a3e23d56d · outbound

This paper cites A modular weighted sparse representation based on fisher discriminant and sparse residual for face recognition with occlusion,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition A modular weighted sparse representation based on fisher discriminant and sparse residual for face recognition with occlusion,

Reference 12

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Observation ed0911e2-5e64-4417-b097-53786c9b72b2 · outbound

This paper cites Data augmentation-based joint learning for heterogeneous face recognition,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Data augmentation-based joint learning for heterogeneous face recognition,

Reference 13

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Observation 24acdc76-1fd9-40ed-b24e-4a65843025f1 · outbound

This paper cites Ring loss: Convex feature nor- malization for face recognition,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Ring loss: Convex feature nor- malization for face recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:36:33.227829Z

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Observation 0d9ae224-44d6-4731-9f96-6fde31603c61 · outbound

This paper cites A discriminative feature learning approach for deep face recognition,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition A discriminative feature learning approach for deep face recognition,

Reference 15

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Observation a6752c21-cabb-494c-9027-5c0635b7c01d · outbound

This paper cites Range loss for deep face recognition with long-tailed training data,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Range loss for deep face recognition with long-tailed training data,

Reference 16

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Observation 1477c48e-c3bb-406f-9cda-fc7ae3cb753d · outbound

This paper cites Large-Margin Softmax Loss for Convolutional Neural Networks.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Large-Margin Softmax Loss for Convolutional Neural Networks

Reference 17

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Observation 825640fb-2518-4344-8c71-72d85a879bca · outbound

This paper cites Deepface: Closing the gap to human-level performance in face verification,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Deepface: Closing the gap to human-level performance in face verification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:36:33.182087Z

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Observation ecfb818e-959f-4f9a-b7ce-220ec3cb0378 · outbound

This paper cites Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition

Reference 19

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Observation 143fcf8f-9bd5-4fb7-b7d5-ce6e644d026b · outbound

This paper cites Sphereface: Deep hypersphere embedding for face recognition,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Sphereface: Deep hypersphere embedding for face recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:36:33.167312Z

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Observation 3fb78109-dc69-4c78-b6cd-465eb7a68345 · outbound

This paper cites Face recognition by elastic bunch graph matching,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Face recognition by elastic bunch graph matching,

Reference 21

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Observation f8e19a81-46c8-4d67-8b4a-ab3bae01fd0e · outbound

This paper cites End2end occluded face recognition by masking corrupted features,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition End2end occluded face recognition by masking corrupted features,

Reference 22

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Observation 367b2526-884e-4eb2-9118-1a2f83a5422f · outbound

This paper cites Robust point set matching for partial face recognition,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Robust point set matching for partial face recognition,

Reference 23

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Observation a9ef67ad-4bdd-4c4e-86d8-28e968026005 · outbound

This paper cites Dynamic feature learning for partial face recognition,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Dynamic feature learning for partial face recognition,

Reference 24

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This paper cites Occlusion robust face recognition based on mask learning with pairwise differential siamese network,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Occlusion robust face recognition based on mask learning with pairwise differential siamese network,

Reference 25

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Observation 0a65f9ee-6c37-4103-9018-94569ee7dc58 · outbound

This paper cites Region filling and object removal by exemplar-based image inpainting,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Region filling and object removal by exemplar-based image inpainting,

Reference 26

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Observation 9ef7817f-21c3-4727-bcc1-0a1a23e71b8a · outbound

This paper cites Generative adversarial networks,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Generative adversarial networks,

Reference 27

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Observation 134381ab-3073-4aa7-bac0-b68f3fb4b00b · outbound

This paper cites Attgan: Facial attribute editing by only changing what you want,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Attgan: Facial attribute editing by only changing what you want,

Reference 28

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Observation 7acc2507-f4e4-4eba-8d4f-b79a7c529ff4 · outbound

This paper cites Occluded face recognition in the wild by identity-diversity inpainting,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Occluded face recognition in the wild by identity-diversity inpainting,

Reference 29

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Observation d3652307-fe24-4fe1-9fe6-4f1f6ea431c8 · outbound

This paper cites Face photo-sketch synthesis via full-scale identity supervision,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Face photo-sketch synthesis via full-scale identity supervision,

Reference 30

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This paper cites Autoencoder- based collaborative attention gan for multi-modal image synthesis,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Autoencoder- based collaborative attention gan for multi-modal image synthesis,

Reference 31

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Observation 6723c68b-823f-4d52-88a5-043e11aabfeb · outbound

This paper cites Autoencoder-driven multimodal collaborative learning for medical im- age synthesis,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Autoencoder-driven multimodal collaborative learning for medical im- age synthesis,

Reference 32

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Observation c35cd051-426a-4b3c-98ba-e626d8bf613f · outbound

This paper cites Diffusion models beat gans on image synthesis,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Diffusion models beat gans on image synthesis,

Reference 33

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This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 34

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MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Repaint: Inpainting using denoising diffusion probabilistic models,

Reference 35

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This paper cites Learning a prototype discriminator with rbf for multimodal image synthesis,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Learning a prototype discriminator with rbf for multimodal image synthesis,

Reference 36

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MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Denoising diffusion probabilistic models,

Reference 37

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This paper cites Identity mappings in deep residual networks,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Identity mappings in deep residual networks,

Reference 38

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This paper cites Hierarchical mixtures of experts and the em algorithm,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Hierarchical mixtures of experts and the em algorithm,

Reference 39

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This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 40

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This paper cites A unified framework for masked and mask-free face recognition via feature rectification,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition A unified framework for masked and mask-free face recognition via feature rectification,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:36:32.916126Z

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Observation ce3c53ed-e5d2-4db5-89bb-e15537fb6210 · outbound

This paper cites Deepface-emd: Re-ranking using patch-wise earth mover’s distance improves out-of-distribution face identification,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Deepface-emd: Re-ranking using patch-wise earth mover’s distance improves out-of-distribution face identification,

Reference 42

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Observation ba45b01d-7029-431b-9d4f-8bb5bcc0fea4 · outbound

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

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Labeled faces in the wild: A database forstudying face recognition in unconstrained environments,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:36:32.887296Z

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Observation 3bc8c71f-bfa6-4d37-9f94-636b2330310b · outbound

This paper cites Deep learning face attributes in the wild,.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Deep learning face attributes in the wild,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:36:32.873539Z

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Observation bb269216-952d-4bf6-aef5-99ccd0a6af36 · outbound

This paper cites Visualizing data using t-sne.

MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition Visualizing data using t-sne

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:36:32.859310Z

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