Pith. sign in

Paper Citation Record · LEDGER

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

As of 23 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 2026-08-22T06:32:14.747728+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
raw_fallback, observed 2026-08-14T13:01:36.667713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.403745Z digest=sha256:e2f5cfdde2deb1ddf96bf1ebb4fa5cb001c23bb7f3a07c51e7af63f5a00f8f0c

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
raw_fallback, observed 2026-08-14T13:01:36.650874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.410028Z digest=sha256:ade6bc0f7c33443aa5452f7d83ff07983e88c063acdd222af4bc8b2d48af1f02

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
raw_fallback, observed 2026-08-14T13:01:36.633224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.416027Z digest=sha256:81f087b846b570c2fcac2f4142c33d588947cd5127e24293986bc4a36ca61512

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
raw_fallback, observed 2026-08-14T13:01:36.617124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.422000Z digest=sha256:e00a9b877cf25c8e34734901a47ea60de4e117525223e7a96a6b30af8019e76d

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
raw_fallback, observed 2026-08-14T13:01:36.597951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.427686Z digest=sha256:bee92048422f685dff43552654792f6dd44915a230d76c1320b14bfcf7484232

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
raw_fallback, observed 2026-08-14T13:01:36.580449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.433725Z digest=sha256:7a5f64b076927707739c04dadc1f14c5bf43084b1d14c65e33d54f2c1467fde3

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
raw_fallback, observed 2026-08-14T13:01:36.561808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.439578Z digest=sha256:add3805e618d4460fa89532db69153116914727aa902fa520521d5b8e8b91e53

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
raw_fallback, observed 2026-08-14T13:01:36.545173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.445008Z digest=sha256:5775c33cfb72370d092bed48999a9e69eece2348e63b3857856fe02cc2b07276

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.450074Z digest=sha256:4f8aeda9282f18092ede4666ac88bed9709b9929e22c9b9fac276dddb2544948

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
raw_fallback, observed 2026-08-14T13:01:36.510764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.454936Z digest=sha256:d1705e917944e949a051f109e87511428c4ba0d8e1665997d466db8e04b209be

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.459776Z digest=sha256:58268d24c877a6f754374e83ac9007764db3fcc9dce2a9ab861271f56e240522

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
raw_fallback, observed 2026-08-14T13:01:36.471085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.464645Z digest=sha256:078eefc380b5ab4f854e92700ee90318c261c1c1e057939e3753d8625f83c76a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.469663Z digest=sha256:b7d9047011a58818f08f9bdfbea194a9ffe35e2bb02f6edac5baaf2868fba86d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.475463Z digest=sha256:60fce92bf7a1d408d4cb397ab2e6064ab343cfcaaf42bc08e1c404c0fc027038

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
verified fuzzy
raw_fallback, observed 2026-08-14T13:01:36.419304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.480483Z digest=sha256:ea720e1f397e4b27525b3b4b748fb4d15e1c44d31326040f5bb8add50bedfbe1

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
unresolved
no resolver link, observed 2026-08-14T13:01:35.485218Z

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.500306Z digest=sha256:d5c4ff6e7835dd0a5e4dc554b22ee2dd9cd1bac7f35b7367b3a50c8512dbe5cb

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.505641Z digest=sha256:5138192f6fb2e6524926aa227065a9b1637b12537c3d87a8d20b990a3e11d739

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.510791Z digest=sha256:f1f0beaba51d6cc708994687998a7c96dd79b5e91964bb88d68b7f917ca8d4a6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.516129Z digest=sha256:235e39b9775faf7b3afdca9f220cf778f9b94e0976e2af9740adaeca89530faf

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.521982Z digest=sha256:081d859442b434619afa60f3fbdbddb2a0efe3d5ed71b36c56a696f764708ef1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.533093Z digest=sha256:a26f253fac986983472132d78ba05ffabf43a46276a6bb7016cddb61537bc243

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.538622Z digest=sha256:8c785c53d5d18bb4319777924e3d05d4e7bd1d352e48069af2101449875e3fe8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.543727Z digest=sha256:82fd6643cd0e65f899c91dace7670c948c0adefa9e0e4008773bb210a2d657f4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.548824Z digest=sha256:f2fca0f4afd9100cc4943379b61125edbd36324f9f6c215f658d479c952307df

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.564016Z digest=sha256:ad9528bd6447925c7439c26c67ffb1a1360f3121e690f2a70f3525e9fe947cbd

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.568875Z digest=sha256:1ad36f79edb2b6187b4ea354f97ed14e022ed475caeecb0813c819c6440a0bef

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.574387Z digest=sha256:ccb7f16e8cf1a4b70b59f71b6dac4b007afff2031aef1c1136d8feeead7b17c7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.579152Z digest=sha256:81c23325ac1b1db07beece802d4970e3deacd329d4e8e3446eb8ea430e51e7ef

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.584128Z digest=sha256:a6d9cafecbf5b156792c9b87432b759fae034fbb2d1aa177dbfca4bfd1605a36

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.589561Z digest=sha256:df47dca30b3583e83288ada7e90fab48488b49c260e3180ab18a76a2499662be

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.596942Z digest=sha256:46372e6187af09e386a42e5d4f948bba10f0891084f2f24f41e7c0b2f37cfec8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.603131Z digest=sha256:0da23432c4d6b8081f259644fffac2ce0bf17af9792136607b6716f4f12be2ff

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.620206Z digest=sha256:ebc227a55f81b2b32f8bac2687e6f070b46771ebcc10c03a09dff6b9c82c4cc8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.625365Z digest=sha256:09bda5a3e3b9f2b42ecaf2069d58a7b0cc81c91bd3e963d54c1dd79b3a871f1d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.630735Z digest=sha256:33138349eae287f52f1597064d1039b901783bc881ecbca143714ea225815043

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.636132Z digest=sha256:a97a352c88fa664bd6dd4294ddaed72591f02b2aab1fdef73a7016940ee22239

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.647281Z digest=sha256:e1a231e19a70c7d1c72a3083d2e49039fb41787d2e5bb8eb0b110ee2f3518f21

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.652355Z digest=sha256:61c087d1c48635afd341c211f92c2db2f71f62ec23d2a0a49d542d1c62bba728

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.662210Z digest=sha256:1b2a28571af2a6d78cd0347cc2b0f61cc956b44e96332df8d2aba786c1972302

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.673102Z digest=sha256:ebbb7e7c5176c9a1425c776dde506f2ae59ba79e8e841c4944d5c1d9b19c3dee

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.678710Z digest=sha256:a2b1718b7b746187f8a24f96a6a87730cde3ec954c41cddb20ff524eccafd26f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T13:01:35.683649Z digest=sha256:cf7bd4478959d70fef262f1e1137373f4d3516b5d03b1ac982095c8813414b6c

Pith citing papers

No inbound Pith citation observations are available.