Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:01:35.683649Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:01:35.683649Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation abb0707c-a514-4084-b032-df846ce42d38 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification People-tracking-by-detection and people-detection-by- tracking
Reference 1
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Observation 15981100-5eff-4565-a736-53f83a263293 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Multi-level factorisation net for person re-identification
Reference 2
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Observation 2a4a299c-d2a7-4616-8d01-1683f657aeaa · outbound
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
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Observation b0da483e-9433-4d12-b21b-1b6873c220b3 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Saliency aware: Weakly supervised object localization
Reference 4
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Observation 77eb85e2-6176-4c37-9014-4cd3af87984b · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Deep semantic matching with foreground detection and cycle-consistency
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Observation f5cfdb7a-ce3c-4d48-ba77-6cc2b8d65f7a · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Learning resolution-invariant deep rep- resentations for person re-identification
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Observation a9b040ab-f3ac-448d-9d86-001eea1dcd70 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Deep learning for malicious flow detection
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Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Crdoco: Pixel-level domain transfer with cross- domain consistency
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Observation 39db502f-25e2-4e68-935f-4965d92a18a6 · outbound
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
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Observation 576e4b25-5d3b-48c1-ad51-228bd0343acc · outbound
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
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Observation 6a4dcdef-3526-4978-894a-e2403250181d · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Unresolved cited work
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Observation b00cf224-68a2-48f2-9383-a9fac14d1d85 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Pixel recursive super resolution
Reference 12
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Observation 9befc3bb-de17-4c1e-93e1-66227649c839 · outbound
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
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Observation 32909a3a-e7ee-490d-b315-160f3feb0840 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Image super-resolution using deep convolutional net- works
Reference 14
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Observation 0865a5a0-57e2-4f61-9d90-630d34d1c56f · outbound
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
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Observation 07571bc8-164b-4601-b876-267a8845b5e3 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Generative adversarial nets
Reference 16
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Observation 09aee196-b0ad-46c4-b51d-98f3a92e9f63 · outbound
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
Source-reported events for the cited work
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Observation 5fd91a3c-75bc-49fc-a09f-c54c36c14945 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Deep residual learning for image recognition
Reference 18
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Observation de652e9b-5fb2-4378-8fc5-79132e9f4a0c · outbound
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
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Observation f8d03bbd-5b3f-4466-91bc-9a75c3a757fc · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Cycada: Cycle-consistent adversarial domain adapta- tion
Reference 20
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Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Multimodal unsupervised image-to-image translation
Reference 21
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Observation a2105ac4-0808-4eb9-b04e-1c01b25ab1cd · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Deep low-resolution person re- identification
Reference 22
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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
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Observation 80c301b8-a778-4375-98b0-41a54599814a · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Human semantic parsing for person re-identification
Reference 24
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Observation fdc308d5-5edd-4dc6-b7ca-91ff3828cb83 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Person re- identification for real-world surveillance systems
Reference 25
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Observation 55ae3b7e-82ea-407c-a715-ed058b83cf42 · outbound
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
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Observation c6904ae8-3c92-448c-9555-d2c17a65ec05 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Imagenet classification with deep convolutional neural net- works
Reference 27
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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
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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
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Observation 3861e755-dbeb-4dd7-b36f-48871c32e1e6 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Harmonious at- tention network for person re-identification
Reference 30
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Observation f7eb7fb0-8cf1-4f3f-a350-f29bc9d383f4 · outbound
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
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Observation d42363c1-d6e9-431b-986d-8290b0188fe7 · outbound
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
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Observation 7495f3bf-70be-4c26-935f-84566796af07 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Learning volumetric segmentation for lung tumor
Reference 33
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Observation 333dbdc3-acf1-4e23-b261-2ca0d9b9dd68 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Improving person re-identification by attribute and identity learning
Reference 34
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Observation e9a78b9a-dc3e-4930-8e27-10deb3dd40c2 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Pose transferrable person re- identification
Reference 35
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Observation d810bc90-7edb-433f-940b-2fd9cb5d1d1a · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification cgans with projection discriminator
Reference 36
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Observation 6a0bb90e-9538-45b1-aa49-10861eb8843e · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Deep group-shuffling random walk for person re-identification
Reference 37
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Observation 9c916a1b-519e-474a-903a-0bfbcdc65bdf · outbound
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
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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
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Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Mask-guided contrastive attention model for person re-identification
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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
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Observation a04ae0e8-b1fa-478b-9896-efe46f1a7b88 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Peo- ple reidentification in surveillance and forensics: A survey
Reference 42
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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
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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
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Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Person transfer gan to bridge domain gap for person re- identification
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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
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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
Source-reported events for the cited work
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Observation 7a179865-d405-4c99-93d5-4876745507f0 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Scalable person re-identification: A benchmark
Reference 48
Source-reported events for the cited work
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Observation 5f4d01e5-910b-42ac-97d2-e735e57f9419 · outbound
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Reference 49
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Observation 9a33a6b3-fe72-4836-819c-7d2b7b186f6e · outbound
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
Source-reported events for the cited work
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Observation c1539aee-3bf3-4e1a-b1c1-5f29de383c27 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Camera style adaptation for person re- identification
Reference 51
Source-reported events for the cited work
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Observation 7961638f-0ce4-4833-b2e6-3bbc2c05df9d · outbound
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
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Observation 19868756-b0aa-4104-9e99-ba43eadcc858 · outbound
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification Deep cascaded bi-network for face hallucination
Reference 53
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No inbound Pith citation observations are available.