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Paper Citation Record · LEDGER

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection

As of 17 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 1 inbound Pith citation observation for arXiv:2505.02393.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.02393 v2

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:59:51.477101Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T02:16:34.307559Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-12T07:42:06.493920Z

Reference resolution

87 of 87 outbound references displayed

  • verified exact5
  • verified fuzzy42
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6bd819c8-d017-4414-b352-099ae9b0d688 · outbound

This paper cites Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text

Reference 1

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Observation 113eecb1-bd8d-49d4-8d18-45b79e1e96c5 · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Flamingo: a Visual Language Model for Few-Shot Learning

Reference 2

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Observation 9a9596b2-b7bf-40bf-acd0-8af359e3795e · outbound

This paper cites Synthetic temporal anomaly guided end-to-end video anomaly detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Synthetic temporal anomaly guided end-to-end video anomaly detection

Reference 3

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Observation 77443699-c938-4a42-9bbf-f303fb498f58 · outbound

This paper cites An application-driven survey on event-based neuromorphic computer vision.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection An application-driven survey on event-based neuromorphic computer vision

Reference 4

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Observation ef46194c-47ff-4f10-ba9b-c470f9770bd2 · outbound

This paper cites Recent Event Camera Innovations: A Survey.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Recent Event Camera Innovations: A Survey

Reference 5

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Observation 27a55b22-3743-4689-9c8e-640b5f761ab7 · outbound

This paper cites Prompt-enhanced multiple instance learning for weakly supervised video anomaly detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Prompt-enhanced multiple instance learning for weakly supervised video anomaly detection

Reference 6

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Observation de656d75-c0f8-445f-94b9-77106deed9df · outbound

This paper cites Tevad: Improved video anomaly detection with captions.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Tevad: Improved video anomaly detection with captions

Reference 7

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Observation aa33d1f5-7850-40ea-a696-5e36f3470cc6 · outbound

This paper cites Mgfn: Magnitude-contrastive glance-and-focus network for weakly-supervised video anomaly detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Mgfn: Magnitude-contrastive glance-and-focus network for weakly-supervised video anomaly detection

Reference 8

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Observation bf1c20af-57c9-4225-9c14-854105afcece · outbound

This paper cites Label-free event-based object recognition via joint learning with image reconstruction from events.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Label-free event-based object recognition via joint learning with image reconstruction from events

Reference 9

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Observation a11adc1b-a59c-40aa-9628-c3ef04a24ec9 · outbound

This paper cites One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code

Reference 10

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Observation fb408ac9-7633-40de-a00c-e0e3b99d4cb8 · outbound

This paper cites Laplace redux—effortless bayesian deep learning.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Laplace redux—effortless bayesian deep learning

Reference 11

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Observation ff68a20b-cbd2-4b0b-b0e3-21d525091025 · outbound

This paper cites Learnable expansion of graph operators for multi-modal feature fusion, 2025.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Learnable expansion of graph operators for multi-modal feature fusion, 2025

Reference 12

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Source-reported events for the cited work

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Observation 671655cd-4b97-47e6-a0b9-2afda514283f · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection PaLM-E: An Embodied Multimodal Language Model

Reference 13

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Observation 33c05f24-6762-4846-94db-a8b44e0084f1 · outbound

This paper cites Self-supervised video forensics by audio-visual anomaly detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Self-supervised video forensics by audio-visual anomaly detection

Reference 14

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Observation 626ebc13-bd99-42e4-a6fe-0ed12c58029b · outbound

This paper cites Mist: Multiple instance self-training framework for video anomaly detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Mist: Multiple instance self-training framework for video anomaly detection

Reference 15

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Observation 20a128ae-b31c-4607-8b47-822c0e462755 · outbound

This paper cites Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection

Reference 16

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Observation 6c2b8468-659d-41a9-b23a-d1824a6c28ca · outbound

This paper cites Multimodal motion conditioned diffusion model for skeleton- based video anomaly detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Multimodal motion conditioned diffusion model for skeleton- based video anomaly detection

Reference 17

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Observation d643ed1c-0217-40eb-ab9c-d5514b2381ca · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 18

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Observation 0b6d0d52-5118-4a24-9b5a-15dc38a52a1f · outbound

This paper cites Event- based vision: A survey.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Event- based vision: A survey

Reference 19

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Observation b8847dee-5757-4b88-8a79-dfcb83ffa515 · outbound

This paper cites End-to-end learn- ing of representations for asynchronous event-based data.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection End-to-end learn- ing of representations for asynchronous event-based data

Reference 20

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Observation 1873d1f4-c8f5-477f-810e-a3915f189a8c · outbound

This paper cites Anomaly detection in video via self-supervised and multi-task learning.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Anomaly detection in video via self-supervised and multi-task learning

Reference 21

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Observation d646ac88-3b40-4161-8ab2-2d8db07b365b · outbound

This paper cites Cross-Modal Fusion and Attention Mechanism for Weakly Supervised Video Anomaly Detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Cross-Modal Fusion and Attention Mechanism for Weakly Supervised Video Anomaly Detection

Reference 22

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Observation 34c822e4-e7e9-4497-a776-6e4857d66fce · outbound

This paper cites Imagebind: One embedding space to bind them all.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Imagebind: One embedding space to bind them all

Reference 23

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Observation 48adf15d-1297-43fb-8c3e-3bef6efbcc7a · outbound

This paper cites Omnivore: A single model for many visual modalities.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Omnivore: A single model for many visual modalities

Reference 24

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Observation 6f3f3644-1250-40d8-9c27-06698221c5c9 · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Multimodal Chain-of-Thought Reasoning in Language Models

Reference 25

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Observation b420b44f-9902-419b-8f71-17cb49a74228 · outbound

This paper cites Deep multimodal representation learning: A survey.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Deep multimodal representation learning: A survey

Reference 26

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Observation ae448456-c312-43ce-b31a-f60105129157 · outbound

This paper cites Backprop kf: Learning discriminative deterministic state estimators.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Backprop kf: Learning discriminative deterministic state estimators

Reference 27

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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.

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Observation ee01b8c1-3e41-4907-a1a3-ef711b6052ff · outbound

This paper cites Denoising diffusion probabilistic models.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Denoising diffusion probabilistic models

Reference 28

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Observation f76a891d-60ad-4ba8-9643-1438994e8ce9 · outbound

This paper cites Multi-modal Sensor Fusion for Auto Driving Perception: A Survey.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Multi-modal Sensor Fusion for Auto Driving Perception: A Survey

Reference 29

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Observation e019a117-ebb2-4bdd-8fdf-857839c50650 · outbound

This paper cites Attention-based deep multiple instance learning.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Attention-based deep multiple instance learning

Reference 30

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Observation b1a76d88-32eb-425a-a5f0-c9c36982733c · outbound

This paper cites Expanding Event Modality Applications through a Robust CLIP-Based Encoder.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Expanding Event Modality Applications through a Robust CLIP-Based Encoder

Reference 31

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Observation 18894592-967a-4be5-a270-6ca595174e2d · outbound

This paper cites Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments

Reference 32

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local_arxiv, observed 2026-08-16T00:59:51.839774Z

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.

source=pdf_text observed=2026-08-16T00:59:51.071784Z digest=sha256:ad417c1e015028789628feffa2c02f1337340c526ab35253fca0f05f05035b9c

Observation d810587e-ed47-43c8-9f5f-e724c2943fc5 · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision? In Advances in Neural Information Processing Systems (NeurIPS), 2017.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection What uncertainties do we need in bayesian deep learning for computer vision? In Advances in Neural Information Processing Systems (NeurIPS), 2017

Reference 33

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Observation 05abf839-0e42-4fb3-b8a7-72bf3381445a · outbound

This paper cites N-imagenet: Towards robust, fine-grained object recognition with event cameras.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection N-imagenet: Towards robust, fine-grained object recognition with event cameras

Reference 34

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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.

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Observation e1984fd1-e3b5-4a5f-88d9-3817fffa039a · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 35

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raw_fallback, observed 2026-08-16T00:59:53.095492Z

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.

source=pdf_text observed=2026-08-16T00:59:51.203912Z digest=sha256:f09e8037e6dcebac1905d3078508e122d0ba605784e169f5977db224f63f66fe

Observation b7af93cc-28ae-4191-8f5f-acbec588e6ce · outbound

This paper cites Align before fuse: Vision and language representation learning with momentum distillation.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Align before fuse: Vision and language representation learning with momentum distillation

Reference 36

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raw_fallback, observed 2026-08-16T00:59:53.074405Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:59:51.208832Z digest=sha256:49ccd398301c7b8e89340f344d7b9c93ac4617f179d5e9ac62fa1a4f3fcd0793

Observation d496875f-1c6d-4c16-8a9d-d6fbd72f8b6c · outbound

This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 37

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source=pdf_text observed=2026-08-16T00:59:51.213850Z digest=sha256:d74c8bec17cd261779faf30922b772f45bc4c57298a37ce01b34d34fcf314cf7

Observation 304a29a1-f79c-4620-b731-37325c15f641 · outbound

This paper cites A survey of multimodel large language models.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection A survey of multimodel large language models

Reference 38

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source=pdf_text observed=2026-08-16T00:59:51.219073Z digest=sha256:f4853db4d98717936bdaec5197e4f71d5bce90e47adbe97192dbc166f6ee4890

Observation d8ec36d6-f727-4da1-a425-2ae8c93204f6 · outbound

This paper cites A 128×128 120 db 15µs latency asynchronous temporal contrast vision sensor.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection A 128×128 120 db 15µs latency asynchronous temporal contrast vision sensor

Reference 39

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raw_fallback, observed 2026-08-16T00:59:53.041423Z

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.

source=pdf_text observed=2026-08-16T00:59:51.223820Z digest=sha256:de8ee0a7479e4be0c90c2a9ddfc21cfc643cb0ae0232e856284fecdb64d984f8

Observation 033d103b-bc2d-4646-a7f0-3a1c3c4a596f · outbound

This paper cites Future frame prediction for anomaly detection–a new baseline.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Future frame prediction for anomaly detection–a new baseline

Reference 40

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source=pdf_text observed=2026-08-16T00:59:51.228503Z digest=sha256:dd4d910973b8322b380822c946beeb2c80ef60cf41859db3e0657430eecd3d50

Observation c100e42e-b86a-404c-8a77-8b4330fe7051 · outbound

This paper cites Towards multimodal model generalization: Visual-audio temporal alignment for video classification.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Towards multimodal model generalization: Visual-audio temporal alignment for video classification

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-16T00:59:53.011088Z

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.

source=pdf_text observed=2026-08-16T00:59:51.233235Z digest=sha256:7d2d3024d80e7d4361d2dbad19afda1e52c4eddf5d1b5273d91ccabb130f9754

Observation 1573b672-f55d-4395-a84f-3894ff076875 · outbound

This paper cites Weakly supervised temporal anomaly localization in surveillance videos.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Weakly supervised temporal anomaly localization in surveillance videos

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.985040Z

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.

source=pdf_text observed=2026-08-16T00:59:51.238212Z digest=sha256:17e8345ea746bdc0d06632fa6aa0fe747f38ace9ccdbebc9da3d253ffe0da7ee

Observation a2e0b421-12e0-4ee8-a65c-8968dab48e8c · outbound

This paper cites Decoupled Weight Decay Regularization.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Decoupled Weight Decay Regularization

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:59:51.244654Z digest=sha256:ab7e63bfc4a657700ff0649707a71ad19e322c402e3132517eb02bdc9b17fec0

Observation 260a2878-4efa-4630-a13b-dd34b1db2ae0 · outbound

This paper cites Learning optical flow from event camera with rendered dataset.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Learning optical flow from event camera with rendered dataset

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.960966Z

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.

source=pdf_text observed=2026-08-16T00:59:51.250065Z digest=sha256:f0623afe5c4e01f887f9602039bb98aa21a4ce4830ee5103f7da23627b557b37

Observation a73b8b72-6820-4c81-8cc2-f0a71929ae09 · outbound

This paper cites Video Anomaly Detection and Explanation via Large Language Models.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Video Anomaly Detection and Explanation via Large Language Models

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:59:51.254940Z digest=sha256:e3ed4dec7ab01e64cd6e783c2b87ddba3078a60689e5bb96f8f192e55d426e7b

Observation e5efb2e8-276e-41b2-b446-66fa84442a94 · outbound

This paper cites Unbiased multiple instance learning for weakly supervised video anomaly detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Unbiased multiple instance learning for weakly supervised video anomaly detection

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.940320Z

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.

source=pdf_text observed=2026-08-16T00:59:51.259995Z digest=sha256:eea1fc24786ac192c2df8fbeb569698c156a63bd6929b8e5a0450001951556d2

Observation a2b0026c-0b4b-4580-a646-be1a479a374b · outbound

This paper cites Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:59:51.738132Z

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.

source=pdf_text observed=2026-08-16T00:59:51.265869Z digest=sha256:8d42b33881eaaccb9650b4da4f6288c06106446ad6e3853ef9892e61f1f7b0a4

Observation e83c381b-31cf-4af1-a626-27495915754f · outbound

This paper cites Multimodal deep learning.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Multimodal deep learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.920087Z

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.

source=pdf_text observed=2026-08-16T00:59:51.270980Z digest=sha256:eb588897204a6d4997446c8692bc2adc4a1382b69cd282438df0bacfd6609dba

Observation 82c82bff-e4cf-4a71-be1d-48a7ba44c637 · outbound

This paper cites The promises and pitfalls of bayesian deep learning in computer vision.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection The promises and pitfalls of bayesian deep learning in computer vision

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.901587Z

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.

source=pdf_text observed=2026-08-16T00:59:51.275910Z digest=sha256:fd61d75b5e51754e3fef01df41a0a89625188da906d6bc332c801565d3c85447

Observation 4851836c-707e-4a34-afdc-d29f18cdbc61 · outbound

This paper cites Converting static image datasets to spiking neuromorphic datasets using saccades.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Converting static image datasets to spiking neuromorphic datasets using saccades

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.883080Z

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.

source=pdf_text observed=2026-08-16T00:59:51.281415Z digest=sha256:c5ba304952888288cdfedb7b96b70d372e90e19c9d6ba1c2637c816cca321624

Observation 57921c89-bb07-4baf-98f9-94827a6e8a9c · outbound

This paper cites Can you trust your model’s uncertainty? evaluating predictive uncer- tainty under dataset shift.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Can you trust your model’s uncertainty? evaluating predictive uncer- tainty under dataset shift

Reference 51

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raw_fallback, observed 2026-08-16T00:59:52.862557Z

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.

source=pdf_text observed=2026-08-16T00:59:51.287230Z digest=sha256:672373932c95259701f988775f2d5d3f58f7c2f185bc148878891b9a5a3d64c4

Observation 86e14edf-9d3d-4ff4-bef0-4212e5e146b7 · outbound

This paper cites Back to event basics: Self-supervised learning of image reconstruction for event cameras via photometric constancy.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Back to event basics: Self-supervised learning of image reconstruction for event cameras via photometric constancy

Reference 52

Resolution
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raw_fallback, observed 2026-08-16T00:59:52.760900Z

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.

source=pdf_text observed=2026-08-16T00:59:51.292299Z digest=sha256:b4ba2453d2f9adb775c33190a61e071015bc4916262a1580f31899e0df05e620

Observation 5a55de31-607b-45a5-81ef-9bb470d29ee4 · outbound

This paper cites Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:59:51.297175Z digest=sha256:f8ad8565d6052a2c1c808d9303e4c77d26572844eef97831ac1b4c70bffdffb4

Observation aa77bc7b-fdee-4826-bd8a-d2f197c632e2 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Learning transferable visual models from natural language supervision

Reference 54

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T00:59:51.302358Z digest=sha256:f0d3f773767fda9570701fefa9f6c8f77840a2f9fc116c6d5981ac4a22b10ee5

Observation dbfbc59c-f5ec-430d-a485-43d0ca7206c1 · outbound

This paper cites Events-to-video: Bringing modern computer vision to event cameras.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Events-to-video: Bringing modern computer vision to event cameras

Reference 55

Resolution
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raw_fallback, observed 2026-08-16T00:59:52.731398Z

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.

source=pdf_text observed=2026-08-16T00:59:51.308357Z digest=sha256:1470aca6e72de227524fb03427002c5671a00f12205e1fcfc3094db53045b642

Observation 0397e637-265b-4712-be5b-2ccd9f9c606b · outbound

This paper cites MIMIC-IT: Multi-Modal In-Context Instruction Tuning.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection MIMIC-IT: Multi-Modal In-Context Instruction Tuning

Reference 56

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no resolver link, observed 2026-08-16T00:59:51.313318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:59:51.313318Z digest=sha256:fb3e6af29b98cf61491ae4aed460705e052bf233b325a390827c66877a274e4e

Observation b4808dfd-ba93-460d-ba5d-432f5998f5fa · outbound

This paper cites Secrets of event-based optical flow.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Secrets of event-based optical flow

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.711966Z

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.

source=pdf_text observed=2026-08-16T00:59:51.318431Z digest=sha256:4e017974069a4ad174820c29bf4c9802a44efd8083f4fd444273815734cb928e

Observation 8f76194b-f8ca-4f74-bc18-791f27d14e66 · outbound

This paper cites Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:59:51.644298Z

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.

source=pdf_text observed=2026-08-16T00:59:51.323104Z digest=sha256:d3961b49a497510f42af0a269ddaf30e2a4e4bcd41f88e96de4d009b03782394

Observation 6f9fbbc9-e74f-41a2-91c7-1206d29b18fa · outbound

This paper cites Real-world anomaly detection in surveillance videos.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Real-world anomaly detection in surveillance videos

Reference 59

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no resolver link, observed 2026-08-16T00:59:51.328135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:59:51.328135Z digest=sha256:2d94f84e54decfbcea28768a956b4a79da7940a039b8d1ba01a367d905ea4da1

Observation 0fa57dc7-8305-4751-af3d-a4f02bb74bd0 · outbound

This paper cites Hawk: Learning to understand open-world video anomalies.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Hawk: Learning to understand open-world video anomalies

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.680219Z

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.

source=pdf_text observed=2026-08-16T00:59:51.332826Z digest=sha256:003a63a6c262e1c95a11a9c40deca50ccdbe1d3992700fe873e66427adae615b

Observation 1d6824cd-2d11-4d8f-b89c-3c02bd725218 · outbound

This paper cites Weakly-supervised video anomaly detection with robust temporal feature magnitude learning.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Weakly-supervised video anomaly detection with robust temporal feature magnitude learning

Reference 61

Resolution
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raw_fallback, observed 2026-08-16T00:59:52.661095Z

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.

source=pdf_text observed=2026-08-16T00:59:51.337695Z digest=sha256:f7400e525956229185ff80d50676ab86604560358b013ca5a83cf96282c6f39d

Observation 865ea0b8-ff42-43d2-b847-a3c26e6ab6cd · outbound

This paper cites Multimodal transformer for unaligned multimodal language sequences.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Multimodal transformer for unaligned multimodal language sequences

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.643111Z

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.

source=pdf_text observed=2026-08-16T00:59:51.343239Z digest=sha256:10131e9b617099be5b6e99f229448d84a4faf90a9e71640a54eb5dd1cc12d2b7

Observation 5c085303-b8cc-4675-bff7-8bdcae640744 · outbound

This paper cites Exploiting spatial sparsity for event cameras with visual transformers.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Exploiting spatial sparsity for event cameras with visual transformers

Reference 63

Resolution
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raw_fallback, observed 2026-08-16T00:59:52.623909Z

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.

source=pdf_text observed=2026-08-16T00:59:51.348793Z digest=sha256:46b0877c322149787ba5969828f44e6d11fe42433461eebbd3fa8d6d9d0032e7

Observation 464f3c52-b14b-4bb7-b556-f1ad0425cf9d · outbound

This paper cites An introduction to the kalman filter.University of North Carolina at Chapel Hill, Department of Computer Science, 7(1):1–16, 1995.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection An introduction to the kalman filter.University of North Carolina at Chapel Hill, Department of Computer Science, 7(1):1–16, 1995

Reference 64

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raw_fallback, observed 2026-08-16T00:59:52.591576Z

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.

source=pdf_text observed=2026-08-16T00:59:51.353812Z digest=sha256:63d6696ba0c3ba7aeb95989a77a5d5a4129b0e5095fbe005649b96b3e5481622

Observation b8965e62-46ce-4dbd-831d-185285e5d120 · outbound

This paper cites Student-t processes for bayesian deep learning.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Student-t processes for bayesian deep learning

Reference 65

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raw_fallback, observed 2026-08-16T00:59:52.501231Z

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.

source=pdf_text observed=2026-08-16T00:59:51.358564Z digest=sha256:9e00fbaf9cc5b85aeaeef0fe857049861cdf1b031ccef9c888f58fd61d14f712

Observation 3db6dd4a-decd-4d74-9a9e-8b30c266bf87 · outbound

This paper cites Not only look, but also listen: Learning multimodal violence detection under weak supervision.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Not only look, but also listen: Learning multimodal violence detection under weak supervision

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.477160Z

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.

source=pdf_text observed=2026-08-16T00:59:51.363313Z digest=sha256:36bba66626d3ac520777e8c4638eb7e729a6bc38e604453ac7d32b03dff1dca7

Observation 6d1ac934-6668-4d55-9520-3d7b59889d20 · outbound

This paper cites Weakly supervised audio-visual violence detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Weakly supervised audio-visual violence detection

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.457331Z

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.

source=pdf_text observed=2026-08-16T00:59:51.368690Z digest=sha256:f0993bc9ee981ef83aaa7615d779eff8b56757139e34b59c94145876ebca8356

Observation 0365dcd2-e4df-4828-aa2f-44a7efdd657e · outbound

This paper cites Open-vocabulary video anomaly detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Open-vocabulary video anomaly detection

Reference 68

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unresolved
no resolver link, observed 2026-08-16T00:59:51.373329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:59:51.373329Z digest=sha256:6b57cd68712df51d744b6d5edabf71d1a3f80cac869abf6614ce391bff43687f

Observation f125d059-3a65-4936-96a8-84d47391a91f · outbound

This paper cites Weakly supervised video anomaly detection and localization with spatio- temporal prompts.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Weakly supervised video anomaly detection and localization with spatio- temporal prompts

Reference 69

Resolution
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raw_fallback, observed 2026-08-16T00:59:52.422530Z

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.

source=pdf_text observed=2026-08-16T00:59:51.377899Z digest=sha256:5c1210606343ff0dcfea336507047d639b4894e44702837aa356313cc4e65537

Observation bf9329c8-4164-484f-8acd-52dbe908bb4a · outbound

This paper cites Vadclip: Adapting vision-language models for weakly supervised video anomaly detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Vadclip: Adapting vision-language models for weakly supervised video anomaly detection

Reference 70

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raw_fallback, observed 2026-08-16T00:59:52.405531Z

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.

source=pdf_text observed=2026-08-16T00:59:51.382745Z digest=sha256:ab4c6f5c9001b64378bc97e87413bd928db0c102c209ae2368465fdd2722854e

Observation abdcde94-6a30-4c5b-8d4f-8af9427c8794 · outbound

This paper cites EventCLIP: Adapting CLIP for Event-based Object Recognition.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection EventCLIP: Adapting CLIP for Event-based Object Recognition

Reference 71

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unresolved
no resolver link, observed 2026-08-16T00:59:51.387962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 69c9384f-ba9d-498c-88bc-09a8745a6e3c · outbound

This paper cites Multimodal learning with transformers: A survey.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Multimodal learning with transformers: A survey

Reference 72

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Source-reported events for the cited work

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Observation ee85bb26-e6bb-4c3b-96d0-e30f2662fadd · outbound

This paper cites Event camera data pre-training.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Event camera data pre-training

Reference 73

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raw_fallback, observed 2026-08-16T00:59:52.378273Z

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.

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Observation b5ea1cc1-60d4-4d59-8442-241dcf9230c0 · outbound

This paper cites VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models

Reference 74

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source=pdf_text observed=2026-08-16T00:59:51.403401Z digest=sha256:3262ba9eab9fd0696f400c294e33ffcd8854be5cfbf354a575eb5d62d8ff32fc

Observation 4ae0cbf2-168f-45a3-8317-2c6382ab08d8 · outbound

This paper cites Harness- ing large language models for training-free video anomaly detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Harness- ing large language models for training-free video anomaly detection

Reference 75

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raw_fallback, observed 2026-08-16T00:59:52.320617Z

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.

source=pdf_text observed=2026-08-16T00:59:51.409044Z digest=sha256:b0fbea9a1dd84e58e2c9f71082aa8375cd1bb89f94521438ee264e6df42a73fd

Observation 6f3cf1e8-48b9-45cf-8d5c-55ae3be4a4fe · outbound

This paper cites Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity

Reference 76

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T00:59:51.413560Z digest=sha256:0cdaea6e72a4580f5d91048c35c75067b558e47afdd9fd3891322705f071c676

Observation 07148c3b-e4cb-4f88-9926-925f3aa97674 · outbound

This paper cites Event-based vision: A survey.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Event-based vision: A survey

Reference 77

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raw_fallback, observed 2026-08-16T00:59:52.229629Z

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.

source=pdf_text observed=2026-08-16T00:59:51.419369Z digest=sha256:d4be10120eb1024b9d7ffea03a1c85e4b9b4de7e24c4d33074e415d1827f7a8b

Observation c211819f-7d21-4fb2-af73-e20becea389f · outbound

This paper cites MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

Reference 78

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T00:59:51.424778Z digest=sha256:d4dc9e598335a99c40bc9f4e0d0bc1af31da3c43b87ed7c90876d85ba68f9e4d

Observation d3ce162d-53f1-407a-9840-da164c299d3e · outbound

This paper cites Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 79

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:59:51.429796Z digest=sha256:eb5c8f9157b171d5bb919d9264123482013712fadfea8f970ff203be3bdd5970

Observation f16e67c7-fd2f-47f7-9037-3de0d052a2ca · outbound

This paper cites Gtad: A semi-supervised learning framework for temporal anomaly detection in surveillance videos.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Gtad: A semi-supervised learning framework for temporal anomaly detection in surveillance videos

Reference 80

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verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.166704Z

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.

source=pdf_text observed=2026-08-16T00:59:51.436124Z digest=sha256:703eeb72c594579c3cd248e21686039139c2b4f94505fb25d64b33f30a806b04

Observation e5d6a689-e8fb-426e-bf40-7b9339dd8230 · outbound

This paper cites Dual memory units with uncertainty regulation for weakly supervised video anomaly detection.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Dual memory units with uncertainty regulation for weakly supervised video anomaly detection

Reference 81

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T00:59:51.441628Z digest=sha256:68f5e808e6df99f5ecd0b9c2c52677ad15827fb5f20f18d509c65a3c2cd5e841

Observation c5893a05-a252-46f5-9bcb-b0a8975325ad · outbound

This paper cites Eventbind: Learning a unified repre- sentation to bind them all for event-based open-world understanding.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Eventbind: Learning a unified repre- sentation to bind them all for event-based open-world understanding

Reference 82

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verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.135161Z

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.

source=pdf_text observed=2026-08-16T00:59:51.447874Z digest=sha256:1f651ee88b339f6e4b0b931aae19a96ef69ce187d858f80a3b72a3da596db74b

Observation 340ac21e-855f-4a85-8424-fda04c9b0841 · outbound

This paper cites Anomalynet: An anomaly detection network for video surveillance.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Anomalynet: An anomaly detection network for video surveillance

Reference 83

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verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.118320Z

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.

source=pdf_text observed=2026-08-16T00:59:51.454311Z digest=sha256:2b8a3b3392bf93116e0b72d7c1649feea98a23b22c9d3359bbed8f1fe409ade2

Observation cb151c7d-28bb-4058-aac1-5243b9684712 · outbound

This paper cites The multivehicle stereo event camera dataset: An event camera dataset for 3d perception.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection The multivehicle stereo event camera dataset: An event camera dataset for 3d perception

Reference 84

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verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.101914Z

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.

source=pdf_text observed=2026-08-16T00:59:51.459519Z digest=sha256:6423c5b266df25ae4c792f8bb66ca2d291f1cfc7c530d408a9703bf3fcd5c32b

Observation fab8f0ee-5042-48ad-9208-63e77337a909 · outbound

This paper cites A variational bayesian approach to robust sensor fusion based on student-t distribution.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection A variational bayesian approach to robust sensor fusion based on student-t distribution

Reference 85

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:59:51.466232Z digest=sha256:2090ff88d7525b8d46b733ce138e3ac06b1e3f9aeb8b94dc97eff0ca7b883ab7

Observation 99f693be-e06a-4769-9909-dafc35e6dc49 · outbound

This paper cites Advancing video anomaly detection: A concise review and a new dataset.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Advancing video anomaly detection: A concise review and a new dataset

Reference 86

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verified fuzzy
raw_fallback, observed 2026-08-16T00:59:52.073087Z

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.

source=pdf_text observed=2026-08-16T00:59:51.472066Z digest=sha256:7c788407f9b29866c0cdf2f84888bd04e75c35f298f72e69c85d3ef0fa549c1a

Observation 4b8ee675-dfc8-49e7-82c8-701e21427332 · outbound

This paper cites Self-Supervised Multimodal Learning: A Survey.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Self-Supervised Multimodal Learning: A Survey

Reference 87

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:59:51.477101Z digest=sha256:b69c2dc56335566f5442a500a8b2f48440ae401e2bd1350981732c9feadc8612

Pith citing papers

Observation 1ab0dc88-9172-430a-b3f3-66b4553ec401 · inbound

Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection cites this paper.

Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection

Reference 46

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verified exact
arxiv_id, observed 2026-05-12T07:42:06.496671Z

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.

source=arxiv_source observed=2026-05-12T02:16:34.307559Z digest=sha256:21bed5e6894728b18d9e1a2ccbe8e46832efab5b125aef43c0a138b96cd2ccb8