Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T10:48:08.751167Z
Paper Citation Record · LEDGER
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification
As of 19 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:1908.10486.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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
Reference resolution
57 of 57 outbound references displayed
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- verified fuzzy51
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8f6065dd-c831-49e8-8f77-099f871c4556 · outbound
This paper cites Camera networks: The acquisition and analysis of videos over wide areas,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Camera networks: The acquisition and analysis of videos over wide areas,
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 73004271-1409-40c9-ae28-83e26dc37f0a · outbound
This paper cites Deep Learning for Person Re-identification: A Survey and Outlook.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Deep Learning for Person Re-identification: A Survey and Outlook
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation b6622621-b7fd-4491-936d-0bada183f3d2 · outbound
This paper cites Spatial-temporal attention-aware learning for video-based person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Spatial-temporal attention-aware learning for video-based person re-identification,
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 29768b7c-23ea-47ad-9164-2ade92c9a48c · outbound
This paper cites Learning discriminative aggregation network for video-based face recognition and person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Learning discriminative aggregation network for video-based face recognition and person re-identification,
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ba1550e5-c57e-4468-a444-4dfdeadcb05d · outbound
This paper cites Robust anchor embedding for unsupervised video person re-identification in the wild,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Robust anchor embedding for unsupervised video person re-identification in the wild,
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6e1580e7-eacd-4005-979c-987843b5cf35 · outbound
This paper cites Dynamic graph co- matching for unsupervised video-based person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Dynamic graph co- matching for unsupervised video-based person re-identification,
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 63d4b624-bad6-485f-8eff-39173d564dab · outbound
This paper cites Global-local temporal representations for video person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Global-local temporal representations for video person re-identification,
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6f4f66ec-377e-432c-ba4d-c208fac4df01 · outbound
This paper cites Video-based person re-identification via self-paced learning and deep reinforcement learning framework,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Video-based person re-identification via self-paced learning and deep reinforcement learning framework,
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 07f8236c-e731-4317-82a4-9397e61a1e0f · outbound
This paper cites Purifynet: A robust person re-identification model with noisy labels,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Purifynet: A robust person re-identification model with noisy labels,
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 97557789-6ad3-426f-8a03-3ee6ddbeecf7 · outbound
This paper cites Deep association learning for unsu- pervised video person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Deep association learning for unsu- pervised video person re-identification,
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 2026-08-19T06:32:44.657259+00:00.
Observation 4a313f77-6563-42ee-b0f4-168b8312b2ea · outbound
This paper cites Hierarchical temporal modeling with mutual distance matching for video based person re- identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Hierarchical temporal modeling with mutual distance matching for video based person re- identification,
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 59e72c0b-d5b5-4684-acb8-1793ac19fe45 · outbound
This paper cites Dynamic label graph matching for unsupervised video re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Dynamic label graph matching for unsupervised video re-identification,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.574805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5ed01c2e-7841-4315-93f4-1107518a66ae · outbound
This paper cites Video-based person re- identification using unsupervised tracklet matching,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Video-based person re- identification using unsupervised tracklet matching,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.559296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 67e5867f-d5e4-4153-b8ec-cfd81bb97f36 · outbound
This paper cites Tracklet self-supervised learning for un- supervised person re-identification.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Tracklet self-supervised learning for un- supervised person re-identification
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.542767Z
Source-reported events for the cited work
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Observation 900d6941-eff3-47b2-afb7-dd27c1c07791 · outbound
This paper cites Cross-modality person re- identification via modality-aware collaborative ensemble learning,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Cross-modality person re- identification via modality-aware collaborative ensemble learning,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.526154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 826ea762-abfa-4774-ae29-51ba83582c96 · outbound
This paper cites Learning Person Re-identification Models from Videos with Weak Supervision.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Learning Person Re-identification Models from Videos with Weak Supervision
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
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Observation 54c02d6a-b677-4397-a000-cc7b9847826b · outbound
This paper cites Augmentation invariant and instance spreading feature for softmax embedding,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Augmentation invariant and instance spreading feature for softmax embedding,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.509844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7a4369b9-17c0-42df-aa45-4ad961ffdd91 · outbound
This paper cites A bottom-up clustering approach to unsupervised person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification A bottom-up clustering approach to unsupervised person re-identification,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.493671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e3a7a189-d921-4bd6-95a1-2085d8291eac · outbound
This paper cites Unsupervised person re- identification: Clustering and fine-tuning,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Unsupervised person re- identification: Clustering and fine-tuning,
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 98c9314a-8312-47d3-8fdd-9e6028cfcfb9 · outbound
This paper cites Unsupervised person re-identification by soft multilabel learning,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Unsupervised person re-identification by soft multilabel learning,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.460827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2520fb30-3ea8-40b2-8459-5e830950281c · outbound
This paper cites Self- similarity grouping: A simple unsupervised cross domain adaptation approach for person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Self- similarity grouping: A simple unsupervised cross domain adaptation approach for person re-identification,
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a931cc68-7bef-41da-b9f4-2eb6c4bf1c14 · outbound
This paper cites Self-training with progressive augmentation for unsupervised cross-domain person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Self-training with progressive augmentation for unsupervised cross-domain person re-identification,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.428272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ba5cedb0-732a-4ce7-b4dd-59d67d07cfdc · outbound
This paper cites Prism: Person reidentification via struc- tured matching,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Prism: Person reidentification via struc- tured matching,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.412977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e40dc1c9-1bb5-4bc4-beee-d8ffba7a8c83 · outbound
This paper cites Fully unsupervised learning of camera link models for tracking humans across nonoverlapping cameras,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Fully unsupervised learning of camera link models for tracking humans across nonoverlapping cameras,
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 087209de-1551-40b6-8b51-96b129bdaafa · outbound
This paper cites Unsupervised person re-identification via softened similarity learning,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Unsupervised person re-identification via softened similarity learning,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.380256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 048a0a59-e8d3-4f8f-8f5d-b5660cb50955 · outbound
This paper cites Consistent-aware deep learn- ing for person re-identification in a camera network,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Consistent-aware deep learn- ing for person re-identification in a camera network,
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0ab7eddd-fbf9-4684-84ed-bb5aa6e787f8 · outbound
This paper cites Consistent re- identification in a camera network,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Consistent re- identification in a camera network,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.348133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7384333a-0680-4477-84cc-f516682426f1 · outbound
This paper cites Network consistent data association,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Network consistent data association,
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ed24a63e-5376-4b30-899c-1c24e6bb588d · outbound
This paper cites Efficient parameter-free clustering using first neighbor relations,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Efficient parameter-free clustering using first neighbor relations,
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5e158d7d-48f5-4855-9475-bf289870be72 · outbound
This paper cites Unsupervised person re-identification via cross-camera similarity exploration,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Unsupervised person re-identification via cross-camera similarity exploration,
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ef74b818-2fa9-43ab-a825-22fd29e2434c · outbound
This paper cites Joint detection and identification feature learning for person search,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Joint detection and identification feature learning for person search,
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5a308c86-6f67-47cc-89c7-a35ed2666bac · outbound
This paper cites Stepwise metric promotion for unsu- pervised video person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Stepwise metric promotion for unsu- pervised video person re-identification,
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9bc329d2-6ac5-4126-89ab-8c9b74540531 · outbound
This paper cites Unsupervised person re-identification by deep learning tracklet association,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Unsupervised person re-identification by deep learning tracklet association,
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dbf7b9b6-dc09-48f5-8c99-9f4ba02c5cbe · outbound
This paper cites Camera style adaptation for person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Camera style adaptation for person re-identification,
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation 49f58ca2-88ef-4e40-9d40-6e3e11bbda4e · outbound
This paper cites Image- image domain adaptation with preserved self-similarity and domain- dissimilarity for person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Image- image domain adaptation with preserved self-similarity and domain- dissimilarity for person re-identification,
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b0b5df9a-d6dd-4c42-a3a0-81a5ece7096f · outbound
This paper cites Shape matching and object recognition using low distortion correspondences,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Shape matching and object recognition using low distortion correspondences,
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a62065f6-6780-42d6-b882-4288a5e6626d · outbound
This paper cites Multi-graph matching via affinity optimization with graduated consistency regulariza- tion,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Multi-graph matching via affinity optimization with graduated consistency regulariza- tion,
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9adbe457-b7b1-4792-9ab8-f538ec8d7e37 · outbound
This paper cites Pairwise matching through max-weight bipartite belief propagation,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Pairwise matching through max-weight bipartite belief propagation,
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 31be9c4d-bdf8-4c52-8ce0-d057d252e291 · outbound
This paper cites Unsupervised graph association for person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Unsupervised graph association for person re-identification,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.143558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3a6d2354-7fdf-4fde-ac77-bedea5e26e54 · outbound
This paper cites Exploiting transitivity for learning person re-identification models on a budget,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Exploiting transitivity for learning person re-identification models on a budget,
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation af45dca6-733c-477e-ad58-aadcf598f12a · outbound
This paper cites The hungarian method for the assignment problem,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification The hungarian method for the assignment problem,
Reference 41
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 262bd9ca-9af3-4926-9434-06da81a80def · outbound
This paper cites Efficient psd constrained asymmetric metric learning for person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Efficient psd constrained asymmetric metric learning for person re-identification,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.098629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 162032f9-021b-4c77-adcd-b8d1011f4198 · outbound
This paper cites On the convergence of graph matching: Graduated assignment revisited,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification On the convergence of graph matching: Graduated assignment revisited,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.080948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b06cedf5-b952-4952-9e47-b8bea3bee122 · outbound
This paper cites A fast iterative shrinkage-thresholding algo- rithm for linear inverse problems,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification A fast iterative shrinkage-thresholding algo- rithm for linear inverse problems,
Reference 44
- Resolution
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Source-reported events for the cited work
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Observation ab7f4ff4-5206-4815-8b5a-28ebe1ea34dc · outbound
This paper cites Mars: A video benchmark for large-scale person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Mars: A video benchmark for large-scale person re-identification,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.052645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c9c88c3a-3fb4-4e75-b686-25a449429cbc · outbound
This paper cites Exploit the unknown gradually: One-shot video-based person re-identification by stepwise learning,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Exploit the unknown gradually: One-shot video-based person re-identification by stepwise learning,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.033523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4e7929d6-a6dd-43dc-b7f7-b7556a16ef99 · outbound
This paper cites Performance measures and a data set for multi-target, multi-camera tracking,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Performance measures and a data set for multi-target, multi-camera tracking,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:09.012169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bf987c57-49ab-4920-84a2-8f3af1a9b606 · outbound
This paper cites Person re-identification by local maximal occurrence representation and metric learning,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Person re-identification by local maximal occurrence representation and metric learning,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:08.994216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b302c2d0-3df4-400c-aa0c-d8f70b18c60b · outbound
This paper cites Principal component analysis,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Principal component analysis,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:08.977692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 941c780d-3af9-49de-bc0c-338e1160b43b · outbound
This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification A density-based algorithm for discovering clusters in large spatial databases with noise
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:08.961208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5de0c6ad-07a7-4a3a-a631-c553673d9bac · outbound
This paper cites Density-based clustering based on hierarchical density estimates,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Density-based clustering based on hierarchical density estimates,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:08.942880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4cdfdf5d-17f7-4979-bfd7-54eb9d759161 · outbound
This paper cites Hierarchical density estimates for data clustering, visualization, and outlier detection,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Hierarchical density estimates for data clustering, visualization, and outlier detection,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:08.924633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 461aeb37-4007-4461-9d0a-baf3d6b518d5 · outbound
This paper cites Person re-identification by unsupervised 𝓁1 graph learning,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Person re-identification by unsupervised 𝓁1 graph learning,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:08.906008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cdbdff27-bfa9-43da-bdd1-80e812b46607 · outbound
This paper cites Unsupervised data association for met- ric learning in the context of multi-shot person re-identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Unsupervised data association for met- ric learning in the context of multi-shot person re-identification,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:08.886737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 454af7c2-6c4f-4a55-8b22-cc9a8ed607ff · outbound
This paper cites Unsupervised tracklet person re- identification,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Unsupervised tracklet person re- identification,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:08.869237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1cce4ad1-dbca-4f2a-9c36-aaf6fe2ac41c · outbound
This paper cites Progressive learning for person re-identification with one example,.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Progressive learning for person re-identification with one example,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:48:08.851752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b3784938-70a8-4ca6-8695-c688669c647e · outbound
This paper cites Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification.
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T10:48:08.800996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.