Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T10:57:55.958198Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:1908.10049.
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 2026-08-14T10:57:55.958198Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:56:05.275013Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:30:23.456663Z
59 of 59 outbound references displayed
External citation measurements
0
pith, observed 2026-08-10T05:30:23.456663Z
Observation 69f7d90b-47b6-41b4-8a0d-2a0325ad34b8 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Self Attention Grid for Person Re-Identification
Reference 1
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Observation 37f63122-2244-429c-bdbc-a273ee5c049f · outbound
Global-Local Temporal Representations For Video Person Re-Identification Quo vadis, action recognition? a new model and the kinetics dataset
Reference 2
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Observation 3bc1c7ce-e246-4870-b02b-e4e3046111f4 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Video person re-identification with compet- itive snippet-similarity aggregation and co-attentive snippet embedding
Reference 3
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Global-Local Temporal Representations For Video Person Re-Identification Deeplab: Semantic im- age segmentation with deep convolutional nets, atrous con- volution, and fully connected crfs
Reference 4
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Observation b3ad617c-9c2f-4788-95e3-8d737ca325a4 · outbound
Global-Local Temporal Representations For Video Person Re-Identification A two stream siamese convolutional neural network for person re-identification
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Global-Local Temporal Representations For Video Person Re-Identification Gmmcp tracker: Globally optimal generalized maximum multi clique problem for multiple object tracking
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Global-Local Temporal Representations For Video Person Re-Identification Spatiotemporal multiplier networks for video action recog- nition
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Observation e9acafef-d277-4593-9858-75ea439c1fc1 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Convolutional two-stream network fusion for video action recognition
Reference 8
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Observation 57266e31-a0a9-47ce-a084-f0939c55ef85 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Object detection with discriminatively trained part-based models
Reference 9
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Observation ab4c35ba-1fe9-4bd0-8a12-e6dced815128 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Dual attention network for scene segmentation
Reference 10
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Observation 70c22c61-d2ab-4ef0-82c5-ffe86790d6c8 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Sta: Spatial-temporal attention for large-scale video- based person re-identification
Reference 11
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Global-Local Temporal Representations For Video Person Re-Identification Deep residual learning for image recognition
Reference 12
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Observation 66c4dbc5-c76e-4596-b9b2-0c898d51d829 · outbound
Global-Local Temporal Representations For Video Person Re-Identification In Defense of the Triplet Loss for Person Re-Identification
Reference 13
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Observation 611e163d-273b-4eaa-8446-8f2e9838889d · outbound
Global-Local Temporal Representations For Video Person Re-Identification Person re-identification by descriptive and discrim- inative classification
Reference 14
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Global-Local Temporal Representations For Video Person Re-Identification CCNet: Criss-Cross Attention for Semantic Segmentation
Reference 15
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Global-Local Temporal Representations For Video Person Re-Identification Self-attention learning for person re-identification
Reference 16
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Global-Local Temporal Representations For Video Person Re-Identification Imagenet classification with deep convolutional neural net- works
Reference 17
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Observation 214a8a6f-bcfb-4e07-92b2-7a26d5762154 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Learning deep context-aware features over body and latent parts for person re-identification
Reference 18
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Global-Local Temporal Representations For Video Person Re-Identification Multi- scale 3d convolution network for video based person re- identification
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Global-Local Temporal Representations For Video Person Re-Identification Pose-guided representation learning for person re- identification
Reference 20
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Global-Local Temporal Representations For Video Person Re-Identification Unsupervised person re-identification by deep learning tracklet association
Reference 21
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Observation 4bbef5ef-f272-4d25-99b9-9655d212de7f · outbound
Global-Local Temporal Representations For Video Person Re-Identification Diversity regularized spatiotemporal attention for video- based person re-identification
Reference 22
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Global-Local Temporal Representations For Video Person Re-Identification Deep- reid: Deep filter pairing neural network for person re- identification
Reference 23
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Global-Local Temporal Representations For Video Person Re-Identification Harmonious at- tention network for person re-identification
Reference 24
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Global-Local Temporal Representations For Video Person Re-Identification Video-based person re-identification by deep fea- ture guided pooling
Reference 25
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Observation d7a598cf-0f9f-4943-a35c-bd105ea7424d · outbound
Global-Local Temporal Representations For Video Person Re-Identification Video-based person re-identification with accumulative motion context
Reference 26
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Observation c508d05b-931e-4314-940c-912f4358c061 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Dense 3d-convolutional neural network for person re-identification in videos
Reference 27
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Observation 33972fa2-392e-4098-bd76-b1d8617b5213 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Qual- ity aware network for set to set recognition
Reference 28
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Observation 3b786d41-00b8-4b9a-897e-4695b7931d83 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Spatial and temporal mutual promotion for video-based person re-identification
Reference 29
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Observation 19812ed3-f4ef-4e99-8367-ce3a20c27354 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Recurrent convolutional network for video- based person re-identification
Reference 30
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Observation bfb314ef-1f40-48de-88ed-457d1c822135 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Local fisher discriminant analysis for pedestrian re-identification
Reference 31
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Observation 748eaa4c-a600-44e6-bdc1-a2228d44bf5b · outbound
Global-Local Temporal Representations For Video Person Re-Identification Learning spatio- temporal representation with pseudo-3d residual networks
Reference 32
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Observation 8000a4a3-6c6d-4f71-848a-ca1fab78b608 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Faster r-cnn: Towards real-time object detection with region proposal networks
Reference 33
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Observation bc273470-55b4-4e74-a0a1-74b1c8e29122 · outbound
Global-Local Temporal Representations For Video Person Re-Identification Performance measures and a data set for multi-target, multi-camera tracking
Reference 34
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Observation c69f05af-596b-42ea-bd92-f171c5fca0ce · outbound
Global-Local Temporal Representations For Video Person Re-Identification Mask-guided contrastive attention model for person re-identification
Reference 37
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Reference 39
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Global-Local Temporal Representations For Video Person Re-Identification Rethinking the inception ar- chitecture for computer vision
Reference 40
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Reference 41
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Reference 42
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Reference 44
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Reference 45
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Global-Local Temporal Representations For Video Person Re-Identification Exploit the unknown gradually: One-shot video-based person re-identification by stepwise learning
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Reference 48
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Reference 49
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Reference 52
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Global-Local Temporal Representations For Video Person Re-Identification OCNet: Object Context Network for Scene Parsing
Reference 53
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Global-Local Temporal Representations For Video Person Re-Identification Deeply-learned part-aligned representations for person re- identification
Reference 55
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Reference 57
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Global-Local Temporal Representations For Video Person Re-Identification Re- ranking person re-identification with k-reciprocal encoding
Reference 58
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Reference 59
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Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey Global-Local Temporal Representations For Video Person Re-Identification
Reference 54
Source-reported events for the cited work
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