Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T18:14:20.608069Z
Paper Citation Record · LEDGER
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios
As of 17 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2502.00665.
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 2026-08-17T06:30:58.91139+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
64 of 64 outbound references displayed
- verified exact3
- verified fuzzy48
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2af3a8bd-0d12-4b79-890b-1ec9955f6887 · outbound
This paper cites Vivit: A video vi- sion transformer.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Vivit: A video vi- sion transformer
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:22.027794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3b9f2437-e8fa-4a36-bfbe-c895e16c151c · outbound
This paper cites Salient-to-broad transition for video person re- identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Salient-to-broad transition for video person re- identification
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:22.012155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation db1f70db-d94f-4a47-a770-ae26a941b677 · outbound
This paper cites Salient-to-broad transition for video person re- identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Salient-to-broad transition for video person re- identification
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.996408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3f7f2e14-2671-44a0-a341-4bd1818abf1e · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a65ca2d8-d9bc-4a83-a2f0-467c3dbdb472 · outbound
This paper cites Video-based person re-identification with spatial and tempo- ral memory networks.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Video-based person re-identification with spatial and tempo- ral memory networks
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.980663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e2f5a222-e635-4216-89f4-d7cb630fe7e4 · outbound
This paper cites Docpedia: Unleashing the power of large multimodal model in the frequency domain for versatile document understanding.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Docpedia: Unleashing the power of large multimodal model in the frequency domain for versatile document understanding
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9623b53-7ac9-4dee-a312-fbe1bff6d34c · outbound
This paper cites UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45caa00f-ea1e-4b1e-8ebe-c08800c317c7 · outbound
This paper cites Pose- guided visible part matching for occluded person reid.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Pose- guided visible part matching for occluded person reid
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.955080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dc75135d-7a8f-4155-9f61-5794411ea76e · outbound
This paper cites FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T18:14:21.073061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ec66d011-7eaa-43fd-87f1-468c6ff46ba2 · outbound
This paper cites Appearance-preserving 3d convolution for video-based person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Appearance-preserving 3d convolution for video-based person re-identification
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.940315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1a03f568-f9c8-4723-b73a-3acad713fc48 · outbound
This paper cites Recognizing Partial Biometric Patterns.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Recognizing Partial Biometric Patterns
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T18:14:21.049176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a0cab890-384e-486c-a9f1-1ba53bd82b4b · outbound
This paper cites Foreground-aware pyramid reconstruc- tion for alignment-free occluded person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Foreground-aware pyramid reconstruc- tion for alignment-free occluded person re-identification
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.924655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6ad633ad-bbb0-47e2-8462-2ba7ac14636a · outbound
This paper cites Transreid: Transformer-based object re- identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Transreid: Transformer-based object re- identification
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.908826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ad015da2-f413-4ce9-8c08-ce9cd975ec8f · outbound
This paper cites Person re-identification by descriptive and discrim- inative classification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Person re-identification by descriptive and discrim- inative classification
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.893481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 914561c1-0b5d-4da2-9627-cd7655361542 · outbound
This paper cites Bicnet-tks: Learning efficient spatial- temporal representation for video person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Bicnet-tks: Learning efficient spatial- temporal representation for video person re-identification
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.877161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9c137a30-f4c2-486e-b8fd-8572001a2c67 · outbound
This paper cites Interaction-and-aggregation network for person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Interaction-and-aggregation network for person re-identification
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.861519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 24df2049-4e25-4c37-85c5-376f5c64d9aa · outbound
This paper cites Unsupervised learning of object landmarks through conditional image generation.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Unsupervised learning of object landmarks through conditional image generation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.846746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c732b183-43c8-44a6-8c03-7552ad21d17b · outbound
This paper cites Flow guided mutual at- tention for person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Flow guided mutual at- tention for person re-identification
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.830949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4ba1c2c3-716b-4f50-b0e8-98b7cadcbd13 · outbound
This paper cites Global-local temporal representations for video per- son re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Global-local temporal representations for video per- son re-identification
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.815209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 49fb74f4-7200-4eff-9d46-fa10e7f176b5 · outbound
This paper cites Global-local temporal representations for video per- son re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Global-local temporal representations for video per- son re-identification
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.800195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 60d295e6-eb3a-4155-8868-b913e94e96a1 · outbound
This paper cites Multi- scale 3d convolution network for video based person re- identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Multi- scale 3d convolution network for video based person re- identification
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.783897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9533f680-a478-4800-872d-69f1f69c7b93 · outbound
This paper cites Diverse part discovery: Occluded per- son re-identification with part-aware transformer.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Diverse part discovery: Occluded per- son re-identification with part-aware transformer
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.769162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1d73a123-e627-4aa4-9f85-e95a5e129a2a · outbound
This paper cites Per- son re-identification by local maximal occurrence represen- tation and metric learning.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Per- son re-identification by local maximal occurrence represen- tation and metric learning
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.753780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 51e61f12-267e-4b28-84a5-b3dce8d25e34 · outbound
This paper cites Rethink motion information for occluded person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Rethink motion information for occluded person re-identification
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.738025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7c6683cc-11bd-4bef-b932-121acb9e4334 · outbound
This paper cites Watching you: Global-guided reciprocal learning for video-based person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Watching you: Global-guided reciprocal learning for video-based person re-identification
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.721557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 55aca8e9-d48d-45ab-835f-02046b46235f · outbound
This paper cites Spts v2: single-point scene text spotting.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Spts v2: single-point scene text spotting
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.704750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 09d899ac-7f64-4ac2-a3d6-dab735b2d219 · outbound
This paper cites A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document Understanding.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document Understanding
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b6a90a8-6b0f-42df-8407-5752815b3c7a · outbound
This paper cites Pose-guided feature alignment for occluded person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Pose-guided feature alignment for occluded person re-identification
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.688792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f0b91daa-7aa0-4c25-a263-68e5ba4eb7d8 · outbound
This paper cites MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:14:20.430802Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 428f5a52-9c71-45b4-a6b9-e52b55034329 · outbound
This paper cites Person Re-Identification with a Locally Aware Transformer.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Person Re-Identification with a Locally Aware Transformer
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T18:14:20.990325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f531b677-1463-4881-ae69-e7e32ea56889 · outbound
This paper cites First order motion model for image animation.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios First order motion model for image animation
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.671491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e450cb7e-106f-4e58-b881-8ffaf6c45910 · outbound
This paper cites Motion- supervised co-part segmentation.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Motion- supervised co-part segmentation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.653371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e0248354-d002-48de-8ffc-f48d09ddd407 · outbound
This paper cites Attentive eraser: Unleashing diffusion model’s object re- moval potential via self-attention redirection guidance.arXiv preprint arXiv:2412.12974, 2024.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Attentive eraser: Unleashing diffusion model’s object re- moval potential via self-attention redirection guidance.arXiv preprint arXiv:2412.12974, 2024
Reference 33
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation face8ce1-278d-4ae4-9018-43f1ffe0c657 · outbound
This paper cites Perceive where to focus: Learn- ing visibility-aware part-level features for partial person re- identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Perceive where to focus: Learn- ing visibility-aware part-level features for partial person re- identification
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.636769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5c317731-49ae-431a-ab61-8b3722292861 · outbound
This paper cites Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline).
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline)
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.498443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f00ace53-4a67-4d9f-bff1-25c7ea4ce523 · outbound
This paper cites Dy- namic prototype mask for occluded person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Dy- namic prototype mask for occluded person re-identification
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.482454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1baf743b-3185-4459-b805-29be6789bcf7 · outbound
This paper cites Character recognition competition for street view shop signs.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Character recognition competition for street view shop signs
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.465624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e028d40a-dc02-450d-8e4e-c55f771a7680 · outbound
This paper cites TextSquare: Scaling up Text-Centric Visual Instruction Tuning.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:14:20.474976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d65ed6ca-8fed-4637-9dbd-badccf0998b8 · outbound
This paper cites MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:14:20.479979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7ffe778-eb82-47ac-8df6-ad1cf14953d7 · outbound
This paper cites Optimal boxes: boosting end-to- end scene text recognition by adjusting annotated bounding boxes via reinforcement learning.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Optimal boxes: boosting end-to- end scene text recognition by adjusting annotated bounding boxes via reinforcement learning
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:14:20.485378Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 808be015-4dbd-4905-a240-ebdbc31ab666 · outbound
This paper cites You can even annotate text with voice: Transcription-only-supervised text spotting.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios You can even annotate text with voice: Transcription-only-supervised text spotting
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.438998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9db8db7d-d0ba-4a1c-aaae-623a680d7b70 · outbound
This paper cites Few could be better than all: Feature sampling and grouping for scene text detection.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Few could be better than all: Feature sampling and grouping for scene text detection
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.423721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9676573b-be41-4182-9ec7-8e30b7f4d3bc · outbound
This paper cites ParGo: Bridging Vision-Language with Partial and Global Views.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios ParGo: Bridging Vision-Language with Partial and Global Views
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:14:20.500549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb8d4ca4-d420-49ef-b27a-837c3a9a96f0 · outbound
This paper cites High-order information matters: Learning relation and topology for occluded person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios High-order information matters: Learning relation and topology for occluded person re-identification
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.408317Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f5b4ae6f-5739-40b7-8832-1affd34750d3 · outbound
This paper cites Person re-identification by video ranking.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Person re-identification by video ranking
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.393121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6a762283-1961-4fd5-900c-942d99444d28 · outbound
This paper cites Feature erasing and diffusion net- work for occluded person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Feature erasing and diffusion net- work for occluded person re-identification
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.376898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c6bb451f-8532-4279-bee5-1eec798e479e · outbound
This paper cites Cavit: Contextual alignment vi- sion transformer for video object re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Cavit: Contextual alignment vi- sion transformer for video object re-identification
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.360148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation eee1fd7c-a443-4477-9307-d2a7bf5766d0 · outbound
This paper cites Learning multi-granular hypergraphs for video-based person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Learning multi-granular hypergraphs for video-based person re-identification
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.343356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ddc0c117-109a-4004-bc9c-ea7dec8042fd · outbound
This paper cites Salient color names for person re- identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Salient color names for person re- identification
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.326594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 81dc5ad5-225e-46e8-a00f-dede38d7aad1 · outbound
This paper cites Fine-grained person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Fine-grained person re-identification
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.311171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a923e5d7-8a0e-4ee5-a624-cf48e5ad3f3c · outbound
This paper cites Learning multi-task correlation particle filters for visual tracking.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Learning multi-task correlation particle filters for visual tracking
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.294144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9835bf03-6a58-49dd-8171-5ad0bf72f0e9 · outbound
This paper cites Robust structural sparse tracking.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Robust structural sparse tracking
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.278544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a1ba70bc-2650-4269-b40b-84840730a8f7 · outbound
This paper cites Multi-granularity reference-aided attentive feature ag- gregation for video-based person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Multi-granularity reference-aided attentive feature ag- gregation for video-based person re-identification
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.262050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cbeef4e6-a55f-4095-8a72-ac5c6b5f7f69 · outbound
This paper cites TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:14:20.555333Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4017ecf8-a84d-462f-bc37-0d87ac7e0362 · outbound
This paper cites Multi-modal in-context learning makes an ego-evolving scene text recognizer.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Multi-modal in-context learning makes an ego-evolving scene text recognizer
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:14:20.560431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc901be3-4476-4199-a428-1b7deb6edade · outbound
This paper cites Harmonizing Visual Text Comprehension and Generation.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Harmonizing Visual Text Comprehension and Generation
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:14:20.565274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30ca611b-104c-499e-a646-6a83d1b79346 · outbound
This paper cites Mars: A video benchmark for large-scale person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Mars: A video benchmark for large-scale person re-identification
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.235779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e140ab16-49b0-41bf-a6e9-e50a5a273547 · outbound
This paper cites Pose- invariant embedding for deep person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Pose- invariant embedding for deep person re-identification
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.220469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation aec82ba4-e1ff-4332-bea4-828b2c0456bf · outbound
This paper cites Scalable person re-identification: A benchmark.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Scalable person re-identification: A benchmark
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.203427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 330ce47f-9aad-4153-84f8-4708cc6f5aa1 · outbound
This paper cites Person re- identification by probabilistic relative distance comparison.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Person re- identification by probabilistic relative distance comparison
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.185980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 60f228dd-4ef5-4e94-a7b1-1a0eacafb4f4 · outbound
This paper cites Reidentifi- cation by relative distance comparison.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Reidentifi- cation by relative distance comparison
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.169474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0938c3b7-595b-47f6-8e1e-0d96f5557595 · outbound
This paper cites Partial person re- identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Partial person re- identification
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.153907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fbe392ad-6e9b-4104-9d1d-a95abb719bde · outbound
This paper cites Identity-guided human semantic parsing for person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Identity-guided human semantic parsing for person re-identification
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.137881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 28f1e9a6-cc33-4dff-8f12-37882c074c19 · outbound
This paper cites Occluded person re-identification.
Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios Occluded person re-identification
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T18:14:21.121365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.