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Paper Citation Record · LEDGER

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification

As of 16 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:1908.06052.

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

pith.paper-citation-record.v1
1908.06052 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:01:35.683649Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

  • verified exact0
  • verified fuzzy41
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abb0707c-a514-4084-b032-df846ce42d38 · outbound

This paper cites People-tracking-by-detection and people-detection-by- tracking.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification People-tracking-by-detection and people-detection-by- tracking

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 15981100-5eff-4565-a736-53f83a263293 · outbound

This paper cites Multi-level factorisation net for person re-identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Multi-level factorisation net for person re-identification

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2a4a299c-d2a7-4616-8d01-1683f657aeaa · outbound

This paper cites Group consistent similarity learning via deep crf for person re-identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Group consistent similarity learning via deep crf for person re-identification

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b0da483e-9433-4d12-b21b-1b6873c220b3 · outbound

This paper cites Saliency aware: Weakly supervised object localization.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Saliency aware: Weakly supervised object localization

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.422000Z digest=sha256:2f16bff89c732537c1e08df98f8c9172d0a5a3c7828d7a5a09ffc84a12f234ad

Observation 77eb85e2-6176-4c37-9014-4cd3af87984b · outbound

This paper cites Deep semantic matching with foreground detection and cycle-consistency.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Deep semantic matching with foreground detection and cycle-consistency

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f5cfdb7a-ce3c-4d48-ba77-6cc2b8d65f7a · outbound

This paper cites Learning resolution-invariant deep rep- resentations for person re-identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Learning resolution-invariant deep rep- resentations for person re-identification

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.433725Z digest=sha256:9cd261887a495539595f3fa1627c82bcf1dc4f9f649a224e16c06e87a2adfd85

Observation a9b040ab-f3ac-448d-9d86-001eea1dcd70 · outbound

This paper cites Deep learning for malicious flow detection.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Deep learning for malicious flow detection

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.439578Z digest=sha256:9d34ef05cbedafa6bf76db3deef7806acd7a034ae4afbb508d6cde0582f6be1a

Observation 9a372683-6bcc-4eca-841c-866291df58d9 · outbound

This paper cites Crdoco: Pixel-level domain transfer with cross- domain consistency.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Crdoco: Pixel-level domain transfer with cross- domain consistency

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.445008Z digest=sha256:35383270b70a5ff72945b72f93a7a0809b746fcc922d464b932ef8100fd3aca6

Observation 39db502f-25e2-4e68-935f-4965d92a18a6 · outbound

This paper cites Show, match and segment: Joint learning of semantic matching and object co-segmentation.arXiv, 2019.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Show, match and segment: Joint learning of semantic matching and object co-segmentation.arXiv, 2019

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.528401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 576e4b25-5d3b-48c1-ad51-228bd0343acc · outbound

This paper cites Person re-identification by multi-channel parts-based cnn with improved triplet loss function.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Person re-identification by multi-channel parts-based cnn with improved triplet loss function

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6a4dcdef-3526-4978-894a-e2403250181d · outbound

This paper cites an unresolved cited work.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:01:36.490337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.459776Z digest=sha256:5185b526467939e929e9d168caf604d3b081de49a2f0b4eda671f478ff276407

Observation b00cf224-68a2-48f2-9383-a9fac14d1d85 · outbound

This paper cites Pixel recursive super resolution.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Pixel recursive super resolution

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.464645Z digest=sha256:4ab7f6bdd22aa51d7d837675a0ae3ab80f7026f665c6bfdf2b17cfea4232e142

Observation 9befc3bb-de17-4c1e-93e1-66227649c839 · outbound

This paper cites Image-image domain adaptation with preserved self-similarity and domain-dissimilarity for person reidentification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Image-image domain adaptation with preserved self-similarity and domain-dissimilarity for person reidentification

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.454072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.469663Z digest=sha256:415ff178ac5ff683be7e15cc23f842a9c5d13d5143dfcab92ac9577cf4a65160

Observation 32909a3a-e7ee-490d-b315-160f3feb0840 · outbound

This paper cites Image super-resolution using deep convolutional net- works.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Image super-resolution using deep convolutional net- works

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.436388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.475463Z digest=sha256:6ae4d00ef6a594badac1a229e5481592fc622ae539a8737d6cff2460b86a0c1c

Observation 0865a5a0-57e2-4f61-9d90-630d34d1c56f · outbound

This paper cites Fd-gan: Pose-guided feature distilling gan for robust person re-identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Fd-gan: Pose-guided feature distilling gan for robust person re-identification

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.480483Z digest=sha256:1ac7f13ba370c590da9810c08b11d05672b8eb23859cc25dd026b49bd47586b1

Observation 07571bc8-164b-4601-b876-267a8845b5e3 · outbound

This paper cites Generative adversarial nets.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Generative adversarial nets

Reference 16

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:01:35.485218Z digest=sha256:61bdfa371509c515ad53872478c8abd5b69adf87823518bc73b5944cf1f33cef

Observation 09aee196-b0ad-46c4-b51d-98f3a92e9f63 · outbound

This paper cites Viewpoint invariant pedestrian recognition with an ensemble of localized features.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Viewpoint invariant pedestrian recognition with an ensemble of localized features

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T13:01:35.490103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:01:35.490103Z digest=sha256:e64ee278c86f8fea0168dbc3c3dbe6d1d7dd28e18a8bc3eef8582745ca42739b

Observation 5fd91a3c-75bc-49fc-a09f-c54c36c14945 · outbound

This paper cites Deep residual learning for image recognition.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Deep residual learning for image recognition

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-14T13:01:35.494996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:01:35.494996Z digest=sha256:7ea3ad2ad7e83d0dfa4769c67a11c945721350dcd0846b9e15669d87541464a8

Observation de652e9b-5fb2-4378-8fc5-79132e9f4a0c · outbound

This paper cites In de- fense of the triplet loss for person re-identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification In de- fense of the triplet loss for person re-identification

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.360716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f8d03bbd-5b3f-4466-91bc-9a75c3a757fc · outbound

This paper cites Cycada: Cycle-consistent adversarial domain adapta- tion.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Cycada: Cycle-consistent adversarial domain adapta- tion

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.343585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8e2755cf-4d9e-4c2a-8222-11926a7c8a02 · outbound

This paper cites Multimodal unsupervised image-to-image translation.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Multimodal unsupervised image-to-image translation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.325781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a2105ac4-0808-4eb9-b04e-1c01b25ab1cd · outbound

This paper cites Deep low-resolution person re- identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Deep low-resolution person re- identification

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.305345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation db1685f9-3f66-4e0c-acfb-85482dc476d4 · outbound

This paper cites Super- resolution person re-identification with semi-coupled low- rank discriminant dictionary learning.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Super- resolution person re-identification with semi-coupled low- rank discriminant dictionary learning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.282561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 80c301b8-a778-4375-98b0-41a54599814a · outbound

This paper cites Human semantic parsing for person re-identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Human semantic parsing for person re-identification

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-14T13:01:35.527003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:01:35.527003Z digest=sha256:ae5e672a21dea9f4a1904f4cf8ab22abe43815391395cb332b6d96649f9b1e67

Observation fdc308d5-5edd-4dc6-b7ca-91ff3828cb83 · outbound

This paper cites Person re- identification for real-world surveillance systems.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Person re- identification for real-world surveillance systems

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.245586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 55ae3b7e-82ea-407c-a715-ed058b83cf42 · outbound

This paper cites Accurate image super-resolution using very deep convolutional net- works.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Accurate image super-resolution using very deep convolutional net- works

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.226451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c6904ae8-3c92-448c-9555-d2c17a65ec05 · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Imagenet classification with deep convolutional neural net- works

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.204217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation feaf8d77-01ba-4011-b138-06646961701c · outbound

This paper cites Photo- realistic single image super-resolution using a generative ad- versarial network.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.184313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.548824Z digest=sha256:28e1013b319806001d71bd66775b95bfd901405cd35914e74b50ab7fb4c91915

Observation 8bc495fe-5627-461f-a205-a9ea5d998fe3 · outbound

This paper cites Deep- reid: Deep filter pairing neural network for person re- identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Deep- reid: Deep filter pairing neural network for person re- identification

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T13:01:35.553559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:01:35.553559Z digest=sha256:e00c79d6110947a2113c05f29b0d76f5081f6a4efa85a5629e7d9dcb83ff4f56

Observation 3861e755-dbeb-4dd7-b36f-48871c32e1e6 · outbound

This paper cites Harmonious at- tention network for person re-identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Harmonious at- tention network for person re-identification

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-14T13:01:35.558951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:01:35.558951Z digest=sha256:681fa72835826dc317e39122b0207a5394545c1b91e6e88153cf20c3071abf30

Observation f7eb7fb0-8cf1-4f3f-a350-f29bc9d383f4 · outbound

This paper cites Multi-scale learning for low-resolution per- son re-identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Multi-scale learning for low-resolution per- son re-identification

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.140892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.564016Z digest=sha256:5b5b7e52020e735a273f153496f58a7b9415f50e13b8c35f148619473cc582ec

Observation d42363c1-d6e9-431b-986d-8290b0188fe7 · outbound

This paper cites Per- son re-identification by local maximal occurrence represen- tation and metric learning.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Per- son re-identification by local maximal occurrence represen- tation and metric learning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.122511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.568875Z digest=sha256:8774debdaa35cfc59ded6fa7949a27be835eacfb6b83cfcdb31805f70448cdc0

Observation 7495f3bf-70be-4c26-935f-84566796af07 · outbound

This paper cites Learning volumetric segmentation for lung tumor.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Learning volumetric segmentation for lung tumor

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.104033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.574387Z digest=sha256:e81c3b1e223d1d9f0c915b78cf212f9c9b726dc17bbfb1a45268bf51d2fbd577

Observation 333dbdc3-acf1-4e23-b261-2ca0d9b9dd68 · outbound

This paper cites Improving person re-identification by attribute and identity learning.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Improving person re-identification by attribute and identity learning

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.083692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e9a78b9a-dc3e-4930-8e27-10deb3dd40c2 · outbound

This paper cites Pose transferrable person re- identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Pose transferrable person re- identification

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.064992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.584128Z digest=sha256:50aa5ce8ef4a219acca9fa1b42fe0cc57f490bfc13072e181c299ac9259c6868

Observation d810bc90-7edb-433f-940b-2fd9cb5d1d1a · outbound

This paper cites cgans with projection discriminator.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification cgans with projection discriminator

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.047868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.589561Z digest=sha256:858cea07bf049aec756f6723bec00f3f07df4c9e51f2791eb0bc9a1ca61db055

Observation 6a0bb90e-9538-45b1-aa49-10861eb8843e · outbound

This paper cites Deep group-shuffling random walk for person re-identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Deep group-shuffling random walk for person re-identification

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.028639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.596942Z digest=sha256:3e50e05a80eef4a502a6bb17c0786a65e44704ba1187b89d553dfb4eeef4171e

Observation 9c916a1b-519e-474a-903a-0bfbcdc65bdf · outbound

This paper cites Person re-identification with deep similarity-guided graph neural network.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Person re-identification with deep similarity-guided graph neural network

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.003631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.603131Z digest=sha256:9b3329c5eeff61de34616ced708c6e68afacac86e47f2dd1a012749780e1d4c6

Observation 664fb0cf-dea5-4c3f-9309-3c9287862e33 · outbound

This paper cites Dual attention matching network for context-aware feature sequence based person re-identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Dual attention matching network for context-aware feature sequence based person re-identification

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-14T13:01:35.608794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:01:35.608794Z digest=sha256:8aa5a9d0c0313323bdbbe08c9beb21b90f30adf338247fdc038f4211672333ed

Observation 64155749-0bf6-4d7b-b1a5-fc58aa74913f · outbound

This paper cites Mask-guided contrastive attention model for person re-identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Mask-guided contrastive attention model for person re-identification

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-14T13:01:35.614098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:01:35.614098Z digest=sha256:e9363da8eb580b170ba3766b8be7d6ad5da4503662c3c75f9b099b3dcc4cfd8e

Observation 268513f0-c109-4c50-82bd-1e1bc4fc1057 · outbound

This paper cites Learning to adapt structured output space for semantic seg- mentation.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Learning to adapt structured output space for semantic seg- mentation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:35.958472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.620206Z digest=sha256:b5a5f02ef99c8d63036ff130778b0d8e45927c331a986dd8b5b4781ff691dd81

Observation a04ae0e8-b1fa-478b-9896-efe46f1a7b88 · outbound

This paper cites Peo- ple reidentification in surveillance and forensics: A survey.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Peo- ple reidentification in surveillance and forensics: A survey

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:35.938045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.625365Z digest=sha256:efccf05b2ef228193d3ed5bc0419140253caf2ffea0b02505acc7c7430649571

Observation f7ea0c5a-844a-45e9-a122-14a67c3b12d9 · outbound

This paper cites Scale-adaptive low-resolution person re- identification via learning a discriminating surface.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Scale-adaptive low-resolution person re- identification via learning a discriminating surface

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:35.917978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.630735Z digest=sha256:ad7b63783bcd21592e6d24ce2e6dd150b48fab91e4d056611cea95a79439211e

Observation d109a7b6-befd-4d90-a3ff-bb2199ffb40a · outbound

This paper cites Cascaded sr-gan for scale-adaptive low resolution per- son re-identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Cascaded sr-gan for scale-adaptive low resolution per- son re-identification

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:35.892738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.636132Z digest=sha256:ff9601aa231c45356e1e1497a0da45f0aec279286d1de1fe588b721bed283fef

Observation 762f54ca-763d-4087-94f4-ba6caf37f77f · outbound

This paper cites Person transfer gan to bridge domain gap for person re- identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Person transfer gan to bridge domain gap for person re- identification

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-14T13:01:35.641181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:01:35.641181Z digest=sha256:7b16b578b4156e83947feb046c4ef5a8e552a812423967f443b1d0e8ed1b6524

Observation be38dcda-c089-4323-89a0-5345121951d5 · outbound

This paper cites Hallucinating very low-resolution unaligned and noisy face images by transformative discrimi- native autoencoders.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Hallucinating very low-resolution unaligned and noisy face images by transformative discrimi- native autoencoders

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:35.859752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.647281Z digest=sha256:dc311d4dd6483e1cb2874e81aad55e96a63d2fc96c1f6360820bac7db68af9db

Observation 4a2b80a0-05e0-449d-9dc6-569b6a5b8462 · outbound

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

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification The unreasonable effectiveness of deep features as a perceptual metric

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:35.839530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.652355Z digest=sha256:d2e48c29cbcd9a82683fe3ba5b2685d1c88465156be849c046f86dd16a74bb6d

Observation 7a179865-d405-4c99-93d5-4876745507f0 · outbound

This paper cites Scalable person re-identification: A benchmark.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Scalable person re-identification: A benchmark

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-14T13:01:35.657318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:01:35.657318Z digest=sha256:b16979edc7df12ab313e81f1affcb1d3b92509157e12b0dd196835095ffb8676

Observation 5f4d01e5-910b-42ac-97d2-e735e57f9419 · outbound

This paper cites Person re-identification: Past, present and future.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Person re-identification: Past, present and future

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:35.808954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.662210Z digest=sha256:7a8ccd2ddd7e60a84374e2802f38d9d9855c0b4256b9baa984df78a1807fe815

Observation 9a33a6b3-fe72-4836-819c-7d2b7b186f6e · outbound

This paper cites Unlabeled sam- ples generated by gan improve the person re-identification baseline in vitro.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Unlabeled sam- ples generated by gan improve the person re-identification baseline in vitro

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-14T13:01:35.667162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:01:35.667162Z digest=sha256:900d197a8563dd3de43c197d55277346e4ee9f82258637cdd71ab8cbdaa2339c

Observation c1539aee-3bf3-4e1a-b1c1-5f29de383c27 · outbound

This paper cites Camera style adaptation for person re- identification.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Camera style adaptation for person re- identification

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:35.769258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.673102Z digest=sha256:188d3afb87d29f6aac827b8a18d443897e2552fe5ebd6af017da8c6b118cdf0b

Observation 7961638f-0ce4-4833-b2e6-3bbc2c05df9d · outbound

This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Unpaired image-to-image translation using cycle- consistent adversarial networks

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:35.750429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.678710Z digest=sha256:ce15669f4d4962ae1e01155f49ba38a34d587c4a4846abba00001a8f052d2b02

Observation 19868756-b0aa-4104-9e99-ba43eadcc858 · outbound

This paper cites Deep cascaded bi-network for face hallucination.

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Deep cascaded bi-network for face hallucination

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:35.729734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:01:35.683649Z digest=sha256:214542a47825097ab576a18c1bfac6734a4e1db6e5d734c15d754ba6d3a2600b

Pith citing papers

No inbound Pith citation observations are available.