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Paper Citation Record · LEDGER

Crowd Scene Analysis using Deep Learning Techniques

As of 22 August 2026, this Paper Citation Record lists 100 of 155 outbound references and 2 inbound Pith citation observations for arXiv:2505.08834.

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

pith.paper-citation-record.v1
2505.08834 v2

Coverage vector

measured 100 of 155 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:05:20.500552Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:18:01.007594Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:26:01.650238Z

Reference resolution

100 of 155 outbound references displayed

  • verified exact2
  • verified fuzzy17
  • unresolved81
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 66fc54a0-1ee3-4b98-abc0-527ba18f2f60 · outbound

This paper cites Elliott, S.

Crowd Scene Analysis using Deep Learning Techniques Elliott, S

Reference 1

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Observation b4ef93cc-9e0e-4730-9743-bac12898d54d · outbound

This paper cites User, Physical, Virtual or Hybrid Events - Which Approach Is Best? — Think Global Forum — thinkglobalforum.org.

Crowd Scene Analysis using Deep Learning Techniques User, Physical, Virtual or Hybrid Events - Which Approach Is Best? — Think Global Forum — thinkglobalforum.org

Reference 2

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Observation 5d20947a-c36e-4a1e-91ea-72c31fefd7f5 · outbound

This paper cites Physical Meetings: What Works and What Doesn’t — openaudience.com.

Crowd Scene Analysis using Deep Learning Techniques Physical Meetings: What Works and What Doesn’t — openaudience.com

Reference 3

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Observation cd2a4917-0b2e-4e19-a599-bd5c876df913 · outbound

This paper cites Visual crowd analysis: Open research problems,.

Crowd Scene Analysis using Deep Learning Techniques Visual crowd analysis: Open research problems,

Reference 4

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Observation 44f95ee5-47b8-4e9f-a0af-c67afad2aca0 · outbound

This paper cites Meel, People Counting System: How To Make Your Own in Less Than 10 Minutes - viso.ai — viso.ai.

Crowd Scene Analysis using Deep Learning Techniques Meel, People Counting System: How To Make Your Own in Less Than 10 Minutes - viso.ai — viso.ai

Reference 5

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Observation 6afb67eb-351a-445d-bc1b-6caf3fefc55c · outbound

This paper cites Crowd Anomaly Detection in Video Frames Using Fine- Tuned AlexNet Model,.

Crowd Scene Analysis using Deep Learning Techniques Crowd Anomaly Detection in Video Frames Using Fine- Tuned AlexNet Model,

Reference 6

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Observation 9c55b1b1-7f79-4106-beb9-719f380ad296 · outbound

This paper cites Multi-source multi-scale counting in extremely dense crowd images,.

Crowd Scene Analysis using Deep Learning Techniques Multi-source multi-scale counting in extremely dense crowd images,

Reference 7

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Observation 8dc06320-8ca8-4907-93f0-470ba75b54f9 · outbound

This paper cites Cross-scene crowd counting via deep convolutional neural networks,.

Crowd Scene Analysis using Deep Learning Techniques Cross-scene crowd counting via deep convolutional neural networks,

Reference 8

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Observation fabb7774-9520-48e2-b547-ca032eeea325 · outbound

This paper cites Learning to count objects in images,.

Crowd Scene Analysis using Deep Learning Techniques Learning to count objects in images,

Reference 9

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Observation b224dde7-dd1d-46d4-86fc-58aebd0d2c73 · outbound

This paper cites Fully Convolutional Crowd Counting On Highly Congested Scenes.

Crowd Scene Analysis using Deep Learning Techniques Fully Convolutional Crowd Counting On Highly Congested Scenes

Reference 10

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Observation a9a5897f-a7ae-4eaa-8ad2-01ba7697dda7 · outbound

This paper cites Crowdnet: A deep convolutional network for dense crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques Crowdnet: A deep convolutional network for dense crowd counting,

Reference 11

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Observation 0e1213ff-657b-4159-bb4e-b467f2afbe10 · outbound

This paper cites Density-aware person detection and tracking in crowds,.

Crowd Scene Analysis using Deep Learning Techniques Density-aware person detection and tracking in crowds,

Reference 12

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Observation 8a48965b-cac3-493f-a582-c20831c0c357 · outbound

This paper cites Single-image crowd counting via multi-column convolutional neural network,.

Crowd Scene Analysis using Deep Learning Techniques Single-image crowd counting via multi-column convolutional neural network,

Reference 13

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Observation 8d56a3a8-c0f0-4345-abc2-9f48dea17ce8 · outbound

This paper cites Learning to detect violent videos using convolutional long short- term memory,.

Crowd Scene Analysis using Deep Learning Techniques Learning to detect violent videos using convolutional long short- term memory,

Reference 14

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Observation de1322ab-e2b2-48b9-ae8e-3ef25d0845ae · outbound

This paper cites Bidirectional convolutional lstm for the detection of violence in videos,.

Crowd Scene Analysis using Deep Learning Techniques Bidirectional convolutional lstm for the detection of violence in videos,

Reference 15

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Observation aefe4e63-fd98-4ace-8499-c5825a607143 · outbound

This paper cites Unified crowd segmentation,.

Crowd Scene Analysis using Deep Learning Techniques Unified crowd segmentation,

Reference 16

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Observation 10772b34-3138-4379-8648-1aa88cbb6af1 · outbound

This paper cites Granular-based dense crowd density estimation,.

Crowd Scene Analysis using Deep Learning Techniques Granular-based dense crowd density estimation,

Reference 17

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Observation e1a28d65-9f8c-49fd-a23d-73ed02e00859 · outbound

This paper cites CNN-based Density Estimation and Crowd Counting: A Survey.

Crowd Scene Analysis using Deep Learning Techniques CNN-based Density Estimation and Crowd Counting: A Survey

Reference 18

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Observation aa34c572-8e17-448f-a691-758746cb054f · outbound

This paper cites An Introduction to Convolutional Neural Networks.

Crowd Scene Analysis using Deep Learning Techniques An Introduction to Convolutional Neural Networks

Reference 19

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Observation 860d7934-3660-4eee-bdbc-7290bd53b0f9 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Crowd Scene Analysis using Deep Learning Techniques Fully convolutional networks for semantic segmentation,

Reference 20

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Observation c719d82e-851c-40b9-ae54-7db200cea24a · outbound

This paper cites Generative adversarial nets,.

Crowd Scene Analysis using Deep Learning Techniques Generative adversarial nets,

Reference 21

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Observation a84e9388-c592-4317-b877-d69960270e86 · outbound

This paper cites Generative adversarial networks: An overview,.

Crowd Scene Analysis using Deep Learning Techniques Generative adversarial networks: An overview,

Reference 22

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Observation d51b74f0-3a0b-4d86-b94f-06decc6f00e9 · outbound

This paper cites Attention mechanisms in computer vision: A survey,.

Crowd Scene Analysis using Deep Learning Techniques Attention mechanisms in computer vision: A survey,

Reference 23

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Observation 7f42accc-debe-4ca3-b0c9-78f661a50d64 · outbound

This paper cites A survey of the recent architectures of deep convolutional neural networks,.

Crowd Scene Analysis using Deep Learning Techniques A survey of the recent architectures of deep convolutional neural networks,

Reference 24

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Observation 4b708c83-ae4e-4802-9f80-c2ae4f6cd094 · outbound

This paper cites A survey of recent advances in cnn-based single image crowd counting and density estimation,.

Crowd Scene Analysis using Deep Learning Techniques A survey of recent advances in cnn-based single image crowd counting and density estimation,

Reference 25

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Observation 1173e8ae-a1f2-4ecf-866a-422c26fae05c · outbound

This paper cites Revisiting crowd counting: State-of-the-art, trends, and future perspectives,.

Crowd Scene Analysis using Deep Learning Techniques Revisiting crowd counting: State-of-the-art, trends, and future perspectives,

Reference 26

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Observation 4ce13f9c-b5ac-4b9c-b50a-ede6e2b22c66 · outbound

This paper cites Analysis of various optimizers on deep convolutional neural network model in the application of hyperspectral remote sensing image classification,.

Crowd Scene Analysis using Deep Learning Techniques Analysis of various optimizers on deep convolutional neural network model in the application of hyperspectral remote sensing image classification,

Reference 27

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Observation 05b0ffbe-b84b-4dcf-a2c2-1c8d5d75854d · outbound

This paper cites Novel sensitive nanocoatings based on SWCNT composites for advanced fiber optic chemo-sensors,.

Crowd Scene Analysis using Deep Learning Techniques Novel sensitive nanocoatings based on SWCNT composites for advanced fiber optic chemo-sensors,

Reference 28

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Observation e89fa284-b72e-4f5b-b1ce-09bccece51ef · outbound

This paper cites Resnetcrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification,.

Crowd Scene Analysis using Deep Learning Techniques Resnetcrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification,

Reference 29

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Observation 3e4517df-b926-414d-986c-070cee2b0dee · outbound

This paper cites Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting.

Crowd Scene Analysis using Deep Learning Techniques Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting

Reference 30

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Observation 0ffb80d5-132d-485e-828d-8d66f8cae872 · outbound

This paper cites Multi-scale convolutional neural networks for crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques Multi-scale convolutional neural networks for crowd counting,

Reference 31

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Observation 6c2cc2f5-b1b1-4eac-aaa6-d95acfd8ed18 · outbound

This paper cites Rethinking counting and localization in crowds: A purely point-based framework,.

Crowd Scene Analysis using Deep Learning Techniques Rethinking counting and localization in crowds: A purely point-based framework,

Reference 32

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Observation e528ce64-0339-4d4c-92d8-2b0acbb682cf · outbound

This paper cites Detection, tracking, and counting meets drones in crowds: A benchmark,.

Crowd Scene Analysis using Deep Learning Techniques Detection, tracking, and counting meets drones in crowds: A benchmark,

Reference 33

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Observation 164e8dfb-59e2-4717-9bd5-6471e4bc0f8f · outbound

This paper cites Dense scale network for crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques Dense scale network for crowd counting,

Reference 34

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Observation ffe21c63-e57e-4137-a37b-49b4dd37404b · outbound

This paper cites CRANet: cascade residual attention network for crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques CRANet: cascade residual attention network for crowd counting,

Reference 35

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Observation f7e393ca-cc24-478d-be07-26980968ed77 · outbound

This paper cites Spatiotemporal dilated convolution with uncertain matching for video-based crowd estimation,.

Crowd Scene Analysis using Deep Learning Techniques Spatiotemporal dilated convolution with uncertain matching for video-based crowd estimation,

Reference 36

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Observation fc4ba349-1d9c-42a9-b0fa-eebd0b9a25d3 · outbound

This paper cites MSPNET: Multi-supervised parallel network for crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques MSPNET: Multi-supervised parallel network for crowd counting,

Reference 37

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Observation 46eeb37c-adac-4b6e-b20f-60c0f9d2e518 · outbound

This paper cites Dilated convolutional neural networks for understanding the highly congested scenes/Y . Li, X. Zhang, D. Chen,.

Crowd Scene Analysis using Deep Learning Techniques Dilated convolutional neural networks for understanding the highly congested scenes/Y . Li, X. Zhang, D. Chen,

Reference 38

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Observation 29bd96a5-d44b-4b10-a3b8-fd6b3f29715e · outbound

This paper cites CLRNet: a cross locality relation network for crowd counting in videos,.

Crowd Scene Analysis using Deep Learning Techniques CLRNet: a cross locality relation network for crowd counting in videos,

Reference 39

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Observation f9327aa9-3c5f-418d-b422-8b6165b9e10d · outbound

This paper cites Self-supervised domain adaptation in crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques Self-supervised domain adaptation in crowd counting,

Reference 40

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Observation 9efe50fb-ff38-435f-82e7-4d76a7de1827 · outbound

This paper cites Tafnet: A three-stream adaptive fusion network for rgb-t crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques Tafnet: A three-stream adaptive fusion network for rgb-t crowd counting,

Reference 41

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Observation 6a0dbda6-10b4-4f1a-accb-0c08603563a6 · outbound

This paper cites Boosting crowd counting via multifaceted attention,.

Crowd Scene Analysis using Deep Learning Techniques Boosting crowd counting via multifaceted attention,

Reference 42

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Observation 9e1626c4-d8eb-4965-bc01-37f8d3d1f7be · outbound

This paper cites Nonlinear regression via deep negative correlation learning,.

Crowd Scene Analysis using Deep Learning Techniques Nonlinear regression via deep negative correlation learning,

Reference 43

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source=pdf_text observed=2026-08-15T22:05:20.300515Z digest=sha256:baa77d50a7b41d76b9723336219aa5cd577256e27d097525d4208e43158c326c

Observation ede8364e-4c61-4055-940f-3c04514d4ac5 · outbound

This paper cites Crowd counting with deep negative correlation learning,.

Crowd Scene Analysis using Deep Learning Techniques Crowd counting with deep negative correlation learning,

Reference 44

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source=pdf_text observed=2026-08-15T22:05:20.303670Z digest=sha256:187760db0c7dc167755fe091b4a2fb44642f1ee0d5e79e398057d55802783e1a

Observation 30bd61c0-f53a-48d8-a8c3-f4ac75175200 · outbound

This paper cites CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model,.

Crowd Scene Analysis using Deep Learning Techniques CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model,

Reference 45

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source=pdf_text observed=2026-08-15T22:05:20.306655Z digest=sha256:8cd20d3aebec17df37e6b286ec629e3c9d1242f52c07f5ac03c961421580ed9b

Observation 3a53bb63-bb79-45a4-b1a4-14a0fab1edd4 · outbound

This paper cites People count from the crowd using unsupervised learning technique from low resolution surveillance videos,.

Crowd Scene Analysis using Deep Learning Techniques People count from the crowd using unsupervised learning technique from low resolution surveillance videos,

Reference 46

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source=pdf_text observed=2026-08-15T22:05:20.309795Z digest=sha256:841da23ee0008dc053d7c9fe5e070506549d5492a7d05cc5065dc4f34bc8a8e9

Observation 4dde6267-bf60-4d3c-a57d-cc5bed599e0f · outbound

This paper cites Almost unsupervised learning for dense crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques Almost unsupervised learning for dense crowd counting,

Reference 47

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source=pdf_text observed=2026-08-15T22:05:20.313331Z digest=sha256:b3e92185a2d14677f0c30fdc9ecf993e0c3aa9def19a2ab24003b8d92abfc98a

Observation 3c3f7543-12c5-4b02-9dc2-f227a82b8f7f · outbound

This paper cites Auto-Encoding Variational Bayes.

Crowd Scene Analysis using Deep Learning Techniques Auto-Encoding Variational Bayes

Reference 48

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source=pdf_text observed=2026-08-15T22:05:20.316493Z digest=sha256:c483b6ec46ce325ff828a1371508f0809dc149df88c22121e2d70f6edcb9fcd1

Observation 0fb13179-6442-4aa6-97bb-3489abd4a59a · outbound

This paper cites CrowdFormer: Weakly-supervised crowd counting with improved generalizability,.

Crowd Scene Analysis using Deep Learning Techniques CrowdFormer: Weakly-supervised crowd counting with improved generalizability,

Reference 49

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source=pdf_text observed=2026-08-15T22:05:20.320053Z digest=sha256:7b6d5bae56971841c15a21f18c4bc5947270decb9a5be25304b5177c68cd8160

Observation 83e8a939-86e1-4053-b745-ef60487c07b6 · outbound

This paper cites Transcrowd: weakly-supervised crowd counting with transformers,.

Crowd Scene Analysis using Deep Learning Techniques Transcrowd: weakly-supervised crowd counting with transformers,

Reference 50

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source=pdf_text observed=2026-08-15T22:05:20.324277Z digest=sha256:bb65d6b69bc59d6d139a6ac14a7d8269420ea7e99caaad682bf9fc7073aaa391

Observation 726b70b9-11de-4cd5-8438-af407ba021d3 · outbound

This paper cites Exploiting unlabeled data in cnns by self- supervised learning to rank,.

Crowd Scene Analysis using Deep Learning Techniques Exploiting unlabeled data in cnns by self- supervised learning to rank,

Reference 51

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source=pdf_text observed=2026-08-15T22:05:20.328071Z digest=sha256:553282aa95c76a8ddc7eb1dd92b9c5065b56af476c219627955f227b64f89dd4

Observation 6d0c6052-629e-487d-8525-438021d3cb40 · outbound

This paper cites Self-Supervised Learning With Data- Efficient Supervised Fine-Tuning for Crowd Counting,.

Crowd Scene Analysis using Deep Learning Techniques Self-Supervised Learning With Data- Efficient Supervised Fine-Tuning for Crowd Counting,

Reference 52

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source=pdf_text observed=2026-08-15T22:05:20.331859Z digest=sha256:4312b558f6b4a0664b02a674629d5704e2d6a1c18a5c825167a16c1d2d28ddf2

Observation 4f75778b-ccfe-43b1-8a0b-f7436f95e8c9 · outbound

This paper cites Unsupervised learning of visual representations by solving jigsaw puzzles,.

Crowd Scene Analysis using Deep Learning Techniques Unsupervised learning of visual representations by solving jigsaw puzzles,

Reference 53

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source=pdf_text observed=2026-08-15T22:05:20.335371Z digest=sha256:4c5fc957137e2d328d6678e2f08f9ca4624d70e54fa6af9119f4eef0a07bf33c

Observation 28d988c9-46ce-4091-9d16-0a6d39e8fb31 · outbound

This paper cites Context encoders: Feature learning by inpainting,.

Crowd Scene Analysis using Deep Learning Techniques Context encoders: Feature learning by inpainting,

Reference 54

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source=pdf_text observed=2026-08-15T22:05:20.338821Z digest=sha256:968ceee6f6b02b9dc8b7af84838e050b3d329fdf3a58dc7046cc91118e5827d7

Observation e162668f-83f2-418a-beff-f2852a81837c · outbound

This paper cites Colorization as a proxy task for visual understanding,.

Crowd Scene Analysis using Deep Learning Techniques Colorization as a proxy task for visual understanding,

Reference 55

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source=pdf_text observed=2026-08-15T22:05:20.342077Z digest=sha256:b4e71ba2265372791c3e54e137ad6c69dde57f3c45af704fd144cbc9d0b1b358

Observation 1e83b6fe-3651-4d12-b43d-b3a293e95e8e · outbound

This paper cites Learning deep event models for crowd anomaly detection,.

Crowd Scene Analysis using Deep Learning Techniques Learning deep event models for crowd anomaly detection,

Reference 56

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source=pdf_text observed=2026-08-15T22:05:20.345321Z digest=sha256:3d89068f440b8ac0274087f263b80db98335bd3e05b2395dbf809f984fbc409c

Observation faa24093-524f-4b72-b92f-713fea2247df · outbound

This paper cites Unsupervised Representation Learning by Predicting Image Rotations.

Crowd Scene Analysis using Deep Learning Techniques Unsupervised Representation Learning by Predicting Image Rotations

Reference 57

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source=pdf_text observed=2026-08-15T22:05:20.348629Z digest=sha256:da04ac466828d9d08d3ec0e5b0de1b0f92dbcd40fdf72658ed9a2134f0f70e38

Observation 055d2534-059d-44f8-80e1-ee1d56ed6778 · outbound

This paper cites Context-aware crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques Context-aware crowd counting,

Reference 58

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Observation d50ed77a-d69a-4f3e-b638-9b3c65e6296e · outbound

This paper cites Recent trends in crowd analysis: A review,.

Crowd Scene Analysis using Deep Learning Techniques Recent trends in crowd analysis: A review,

Reference 59

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source=pdf_text observed=2026-08-15T22:05:20.356368Z digest=sha256:b9d2efc8de19f60b4279f3e0a8fc9339dfde63007954d35867d6a05832362fc9

Observation c6cc01ac-9a6e-4af5-b15b-aa982cef11b1 · outbound

This paper cites Modeling Representation of Videos for Anomaly Detection using Deep Learning: A Review.

Crowd Scene Analysis using Deep Learning Techniques Modeling Representation of Videos for Anomaly Detection using Deep Learning: A Review

Reference 60

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source=pdf_text observed=2026-08-15T22:05:20.359888Z digest=sha256:a528086bb15157b175a882d9a7e1c77d83a8719c8594fdd1632a9b2303457396

Observation 2ddcf8f3-cf45-4deb-8be4-0e2d63d5992a · outbound

This paper cites Shape-based human detection and segmentation via hierarchical part- template matching,.

Crowd Scene Analysis using Deep Learning Techniques Shape-based human detection and segmentation via hierarchical part- template matching,

Reference 61

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source=pdf_text observed=2026-08-15T22:05:20.363484Z digest=sha256:4b5e09cf27295cee23f398745b76f2aee2d9300d7d426f52a3accabd2a3b2cb9

Observation 2d5f12b1-a3e8-4e21-bf87-0cc817e78d76 · outbound

This paper cites Pedestrian detection via classification on riemannian manifolds,.

Crowd Scene Analysis using Deep Learning Techniques Pedestrian detection via classification on riemannian manifolds,

Reference 62

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source=pdf_text observed=2026-08-15T22:05:20.366618Z digest=sha256:db6a539e830c627d9044dcdc2bbd0fd6bf823d042b6d4619e529f91d7bf8a748

Observation 03c51c5f-e84d-443c-89be-0fd608a69f65 · outbound

This paper cites Counting people by clustering person detector outputs,.

Crowd Scene Analysis using Deep Learning Techniques Counting people by clustering person detector outputs,

Reference 63

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Observation 8fdb32b6-3a44-4f8b-a91e-9fb4bc2f5131 · outbound

This paper cites Object detection with discriminatively trained part-based models,.

Crowd Scene Analysis using Deep Learning Techniques Object detection with discriminatively trained part-based models,

Reference 64

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source=pdf_text observed=2026-08-15T22:05:20.373125Z digest=sha256:3f3f2dfd41e31b2f15f6481d0c4639d265eb1a6551d7b3d1ca007fa4c64ac51a

Observation 1f2fa690-9750-4e05-abd1-e2a123f90325 · outbound

This paper cites Estimating the number of people in crowded scenes by mid based foreground segmentation and head-shoulder detection,.

Crowd Scene Analysis using Deep Learning Techniques Estimating the number of people in crowded scenes by mid based foreground segmentation and head-shoulder detection,

Reference 65

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source=pdf_text observed=2026-08-15T22:05:20.376541Z digest=sha256:b135fd94d113251c8a0fed10cd11f85a93bf2f4bbea8ae08e2f2dbd20ecc7a4e

Observation 06e3d1e4-9a2c-41d5-8efe-e20e2f707fce · outbound

This paper cites Locate, size, and count: accurately resolving people in dense crowds via detection,.

Crowd Scene Analysis using Deep Learning Techniques Locate, size, and count: accurately resolving people in dense crowds via detection,

Reference 66

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source=pdf_text observed=2026-08-15T22:05:20.380348Z digest=sha256:d9698ddc6e8f0ad53c401e5db53f9e71a14cbe2fd54d4a8ba6af6366344a0c11

Observation 639a95d6-9b3b-4572-a7e9-bea7598ba567 · outbound

This paper cites Point in, box out: Beyond counting persons in crowds,.

Crowd Scene Analysis using Deep Learning Techniques Point in, box out: Beyond counting persons in crowds,

Reference 67

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source=pdf_text observed=2026-08-15T22:05:20.383803Z digest=sha256:13d5f7e6d866b683865db0008afb0c281689c5b46c38507c96182e3c2580d75b

Observation 9dcc4b38-b907-46be-b40c-1c765b031ec9 · outbound

This paper cites A self-training approach for point-supervised object detection and counting in crowds,.

Crowd Scene Analysis using Deep Learning Techniques A self-training approach for point-supervised object detection and counting in crowds,

Reference 68

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Observation 65831aa4-27ef-4f4d-84a0-ceacd4743fd8 · outbound

This paper cites Count forest: Co-voting uncertain number of targets using random forest for crowd density estimation,.

Crowd Scene Analysis using Deep Learning Techniques Count forest: Co-voting uncertain number of targets using random forest for crowd density estimation,

Reference 69

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source=pdf_text observed=2026-08-15T22:05:20.390379Z digest=sha256:25a2de2e015b729695f5cbfb20714c79f8d86be5f430a63de12c266e900e2a76

Observation cef1358f-a611-4967-8259-d08fed50d427 · outbound

This paper cites A deeply-recursive convolutional network for crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques A deeply-recursive convolutional network for crowd counting,

Reference 70

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source=pdf_text observed=2026-08-15T22:05:20.394363Z digest=sha256:acf0c894b499e7cbea3c7b9187c9191432ddbfd912be3df6fde3b5faa6f3ef6e

Observation 257308d9-255b-4689-ba17-1db85c3c504e · outbound

This paper cites Switching convolutional neural network for crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques Switching convolutional neural network for crowd counting,

Reference 71

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source=pdf_text observed=2026-08-15T22:05:20.397742Z digest=sha256:8f5ff347cd1a505df281739332bca14e4a07a269cad12681d6e9d38ad60924e8

Observation de91bb58-d828-48f2-9515-8c2079d592c1 · outbound

This paper cites Multi-resolution attention convolutional neural network for crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques Multi-resolution attention convolutional neural network for crowd counting,

Reference 72

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source=pdf_text observed=2026-08-15T22:05:20.401099Z digest=sha256:d89866a7c19051b3b057f6e84a942d75ee2edc4f44a083d922d7f315b7b3cda4

Observation ca01537a-e0db-49ed-9105-c599dcc89b87 · outbound

This paper cites Image crowd counting using convolutional neural network and markov random field,.

Crowd Scene Analysis using Deep Learning Techniques Image crowd counting using convolutional neural network and markov random field,

Reference 73

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source=pdf_text observed=2026-08-15T22:05:20.404280Z digest=sha256:3bd5935ceb802a50cbc19e57fc5873a3368b3fe81ebf11beea03ae8234501da5

Observation 78a8b027-b200-494d-be2f-0a7d62af929a · outbound

This paper cites Csrnet: Dilated convolutional neural networks for understanding the highly congested scenes,.

Crowd Scene Analysis using Deep Learning Techniques Csrnet: Dilated convolutional neural networks for understanding the highly congested scenes,

Reference 74

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source=pdf_text observed=2026-08-15T22:05:20.407915Z digest=sha256:0c2042c68221784a490dcbaf69e65a2b075f2d4568d1a70acb40d15a49ca68c7

Observation c7029ac5-19fd-470e-81ce-456f624d152d · outbound

This paper cites Relational attention network for crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques Relational attention network for crowd counting,

Reference 75

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source=pdf_text observed=2026-08-15T22:05:20.411477Z digest=sha256:53493afd04d83f2360859c17b4234f97a9da13e580897e6f965d37f76af3a728

Observation c0124233-8650-4ccf-91a1-bde97d8b086c · outbound

This paper cites Cnn-based cascaded multi-task learning of high-level prior and density estimation for crowd counting,.

Crowd Scene Analysis using Deep Learning Techniques Cnn-based cascaded multi-task learning of high-level prior and density estimation for crowd counting,

Reference 76

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source=pdf_text observed=2026-08-15T22:05:20.414983Z digest=sha256:592fd9ceb4a2890a1d2b08d8df01afb409614cdf458bc1e0044c9a30a4f71bd2

Observation b6876549-9e33-4d8b-8e9d-c5566b3f368a · outbound

This paper cites Dense crowd counting from still images with convolutional neural networks,.

Crowd Scene Analysis using Deep Learning Techniques Dense crowd counting from still images with convolutional neural networks,

Reference 77

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source=pdf_text observed=2026-08-15T22:05:20.418277Z digest=sha256:e867b0310d0208cf5bae50fa1fcfb018e60106cfd96e5bd46b71eb2bfcea6184

Observation f53339e5-addc-4253-8f8d-e2e8273a6334 · outbound

This paper cites Auxiliary learning for crowd counting via count-net,.

Crowd Scene Analysis using Deep Learning Techniques Auxiliary learning for crowd counting via count-net,

Reference 78

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source=pdf_text observed=2026-08-15T22:05:20.421621Z digest=sha256:f6d74af5110b1a2839391331d1d2033d057ec9c4084e8a4f1703b186e340941b

Observation 51aa48dc-7b2c-42ff-b8bb-481876e27134 · outbound

This paper cites Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting.

Crowd Scene Analysis using Deep Learning Techniques Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting

Reference 79

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no resolver link, observed 2026-08-15T22:05:20.424957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:20.424957Z digest=sha256:a39df4765ce3a269125e8807084684ff20d3c2a001c70790f61bd2763b4c0f0c

Observation d2afbd6c-0d04-43d8-a605-f686150fc61a · outbound

This paper cites Violence detection in surveillance videos with deep network using transfer learning,.

Crowd Scene Analysis using Deep Learning Techniques Violence detection in surveillance videos with deep network using transfer learning,

Reference 80

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no resolver link, observed 2026-08-15T22:05:20.428537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:20.428537Z digest=sha256:941329531b50d274cc718f2f92759f3baeda7d25a0f81f249dba89e75fb2e6c6

Observation fd464260-6b59-4be6-8c07-145e480f3cf6 · outbound

This paper cites Violence detection in videos based on fusing visual and audio information,.

Crowd Scene Analysis using Deep Learning Techniques Violence detection in videos based on fusing visual and audio information,

Reference 81

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no resolver link, observed 2026-08-15T22:05:20.432136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:20.432136Z digest=sha256:85b937cbb2ab51a485088bd69b82642f4519d69b0dd4cbbad7192164b5cf880f

Observation 50744c71-5266-41c6-a5c8-a01b476c4b14 · outbound

This paper cites Violence content classification using audio features,.

Crowd Scene Analysis using Deep Learning Techniques Violence content classification using audio features,

Reference 82

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no resolver link, observed 2026-08-15T22:05:20.435933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:20.435933Z digest=sha256:421ff690398c27da825a76fc14078285485b67fc1aafd7adf6295a0a8056aa22

Observation 4421a264-c3f3-420c-aad9-2019ccd5ef71 · outbound

This paper cites CASSANDRA: audio-video sensor fusion for aggression detection,.

Crowd Scene Analysis using Deep Learning Techniques CASSANDRA: audio-video sensor fusion for aggression detection,

Reference 83

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no resolver link, observed 2026-08-15T22:05:20.439458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:20.439458Z digest=sha256:acc341a4c73e2f2b9472e2a6211605f1e2f75fb81f41f02fb52588bc319aec87

Observation bb07e1ca-4c79-4f41-8323-74c756a0853d · outbound

This paper cites Detecting violent scenes in movies by auditory and visual cues,.

Crowd Scene Analysis using Deep Learning Techniques Detecting violent scenes in movies by auditory and visual cues,

Reference 84

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.751524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.443218Z digest=sha256:547c7b95bd0b10cfea2e680dfd611dad5e9da9aab96ec768e7bfb7c980b38dce

Observation 953d21e3-d81b-4dc6-a598-f5b2ded71a43 · outbound

This paper cites DOVE: Detection of movie violence using motion intensity analysis on skin and blood,.

Crowd Scene Analysis using Deep Learning Techniques DOVE: Detection of movie violence using motion intensity analysis on skin and blood,

Reference 85

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.740581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.446893Z digest=sha256:473f40f204c76ce999bae6f7c0364022cd4f4bc48e4f2753ac226019c9b8eec0

Observation 945f3052-3d80-4c1d-b154-4e999364264a · outbound

This paper cites A comprehensive review on vision-based violence detection in surveillance videos,.

Crowd Scene Analysis using Deep Learning Techniques A comprehensive review on vision-based violence detection in surveillance videos,

Reference 86

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.729720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.453232Z digest=sha256:402d8863b206c1c3d4db77ed7315b9e97d4c88a85bae163a875f68121d7c1fcc

Observation a052c3af-0a41-4b44-bbd3-2877fd9a27cb · outbound

This paper cites Spatio-temporal anomaly detection in crowd movement using SIFT,.

Crowd Scene Analysis using Deep Learning Techniques Spatio-temporal anomaly detection in crowd movement using SIFT,

Reference 87

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.719655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.456698Z digest=sha256:ef9fe17bc5a11a61eb1c4348dbe92f8a02fca16959aabc2fa2446edb18f00022

Observation 2151d7db-cd2b-4592-977d-69a203db76c2 · outbound

This paper cites Object tracking using SIFT features and mean shift,.

Crowd Scene Analysis using Deep Learning Techniques Object tracking using SIFT features and mean shift,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.708237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.460078Z digest=sha256:ef5bd0d9ab683925324abb28af508f625eca6c70e12e3cba119cdf79c30cc970

Observation ca7e80bb-48f9-405d-9dc4-05f41dae005b · outbound

This paper cites Speeded-up robust features (SURF),.

Crowd Scene Analysis using Deep Learning Techniques Speeded-up robust features (SURF),

Reference 89

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.697755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.463305Z digest=sha256:50f47f2de43a01bc711982d3614589de09eef8a8d52476bbf97c057777b368bb

Observation 9dad2f85-8b3d-41bc-9297-9f24953e9c45 · outbound

This paper cites BRISK: Binary robust invariant scalable keypoints,.

Crowd Scene Analysis using Deep Learning Techniques BRISK: Binary robust invariant scalable keypoints,

Reference 90

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.686948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.467026Z digest=sha256:6d7f7127f766cd5c836c4db48ced848d56b96d9dfe286fef5ec3950904d00797

Observation 2aed9e07-ea51-47ba-9d66-32d5ae020563 · outbound

This paper cites ORB: An efficient alternative to SIFT or SURF,.

Crowd Scene Analysis using Deep Learning Techniques ORB: An efficient alternative to SIFT or SURF,

Reference 91

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.676008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.470453Z digest=sha256:74906e52f136ccd273721af6f437d44f986b25f2b3c1b8f2cfb10707c7e57de1

Observation c0c9db23-5290-44fa-b207-1fa72a154f4e · outbound

This paper cites Evaluating bag-of-visual-words representations in scene classification,.

Crowd Scene Analysis using Deep Learning Techniques Evaluating bag-of-visual-words representations in scene classification,

Reference 92

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.664319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.473688Z digest=sha256:c94eb1792495f9e77590e68d47b4bd7267c4ebd7793c9916713709ec87d46b61

Observation adeb24a3-14ce-4d1f-adaf-c758bc4b0b05 · outbound

This paper cites Violent flows: Real-time detection of violent crowd behavior,.

Crowd Scene Analysis using Deep Learning Techniques Violent flows: Real-time detection of violent crowd behavior,

Reference 93

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.652958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.477077Z digest=sha256:54a93caa027b26d4ebcb7df9448a59863757636d7cd08da3bc51f3e368ba1c00

Observation 107bf90d-093f-49cc-916b-c8bf2b8e3dbf · outbound

This paper cites Social mil: Interaction-aware for crowd anomaly detection,.

Crowd Scene Analysis using Deep Learning Techniques Social mil: Interaction-aware for crowd anomaly detection,

Reference 94

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.642195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.480318Z digest=sha256:51b2291bc776c4314276975105ee48de7636294953f1e7069b21b6832307de60

Observation a84a708c-49f1-4b99-83da-318ee52c6a10 · outbound

This paper cites Application of deep learning for crowd anomaly detection from surveillance videos,.

Crowd Scene Analysis using Deep Learning Techniques Application of deep learning for crowd anomaly detection from surveillance videos,

Reference 95

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.630016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.483438Z digest=sha256:978d29a949f68ff882e108db963d1efb2f2828e29d8e6032fea463f7a7dc94eb

Observation 600f6a30-ad6d-4588-b347-27b650ab1dea · outbound

This paper cites Anomaly and activity recognition using machine learning approach for video based surveillance,.

Crowd Scene Analysis using Deep Learning Techniques Anomaly and activity recognition using machine learning approach for video based surveillance,

Reference 96

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.617952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.487143Z digest=sha256:4d369f7e0babb929efd8e70ab9fcdc76767ffee2e12ee5636655e5ecd060a134

Observation acd8dcc6-bfa9-407b-a431-be735dc84e76 · outbound

This paper cites Efficient anomaly detection in crowd videos using pre-trained 2D convolutional neural networks,.

Crowd Scene Analysis using Deep Learning Techniques Efficient anomaly detection in crowd videos using pre-trained 2D convolutional neural networks,

Reference 97

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.606894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.490508Z digest=sha256:ebc2608e213d343b4b16e7172fa51297f3ac63ce5036366e8d3333c5731b5b46

Observation b3dddcbb-a8f7-4276-916b-5cabcb54a070 · outbound

This paper cites Self-supervised representation learning by rotation feature decoupling,.

Crowd Scene Analysis using Deep Learning Techniques Self-supervised representation learning by rotation feature decoupling,

Reference 98

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.596515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.493875Z digest=sha256:d6db4b2d09fbc088e7ae203302a14d2670f916f324ae2de152c14a199ca8e505

Observation 541e3a60-b3f8-4a25-8f1f-b20b318baaee · outbound

This paper cites An automated deep learning based anomaly detection in pedestrian walkways for vulnerable road users safety,.

Crowd Scene Analysis using Deep Learning Techniques An automated deep learning based anomaly detection in pedestrian walkways for vulnerable road users safety,

Reference 99

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.585072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.497268Z digest=sha256:a6d795de6a90c360dbe3cb13ac9235034c44ea2ed487ecd208fd88146a2db679

Observation 1fbacfb2-5558-4612-88ee-34b9c29f2fd2 · outbound

This paper cites Joint detection and recounting of abnormal events by learning deep generic knowledge,.

Crowd Scene Analysis using Deep Learning Techniques Joint detection and recounting of abnormal events by learning deep generic knowledge,

Reference 100

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:21.574191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T22:05:20.500552Z digest=sha256:e812b47bc95b47f9d3eb205c9df866c5d4d43f0d432b503f302862a478ab9551

Pith citing papers

Observation 22064291-e4ee-4486-a104-17e63440554e · inbound

Advancements in Crop Analysis through Deep Learning and Explainable AI cites this paper.

Advancements in Crop Analysis through Deep Learning and Explainable AI Crowd Scene Analysis using Deep Learning Techniques

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:18:01.007594Z digest=sha256:b735649214c9bf6936fdf956d9ee073b2f9abf54f9e963953c2e393e541314f4

Observation 4fa44990-ab13-45aa-bf7d-9d58e318b3e9 · inbound

Towards Automated Solar Panel Integrity: Hybrid Deep Feature Extraction for Advanced Surface Defect Identification cites this paper.

Towards Automated Solar Panel Integrity: Hybrid Deep Feature Extraction for Advanced Surface Defect Identification Crowd Scene Analysis using Deep Learning Techniques

Reference 29

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verified exact
arxiv_id, observed 2026-05-11T09:26:01.653556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T16:01:37.073825Z digest=sha256:c8f371aba0d236018288f766b35e939663c6f93bae2680b16b75937c2b0add17