Cross-Modal Synergies: Unveiling the Potential of Motion-Aware Fusion Networks in Handling Dynamic and Static ReID Scenarios | Paper Citation Record

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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; no resolver link, observed 2026-08-09T18:14:20.307570Z

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 2026-08-10T06:31:04.303077+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; no resolver link, observed 2026-08-09T18:14:20.318015Z

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; no resolver link, observed 2026-08-09T18:14:20.322963Z

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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; no resolver link, observed 2026-08-09T18:14:20.420778Z

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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; no resolver link, observed 2026-08-09T18:14:20.450552Z

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers