Crowd Scene Analysis using Deep Learning Techniques | Paper Citation Record

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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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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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

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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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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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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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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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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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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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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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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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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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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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This paper cites Auto-Encoding Variational Bayes.

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

Reference 48

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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,

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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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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,

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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,

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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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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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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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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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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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This paper cites Context-aware crowd counting,.

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

Reference 58

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

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

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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

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Resolution: verified exact; local_arxiv, observed 2026-08-15T22:05:20.853365Z

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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,

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

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

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.369862Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.373125Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.376541Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.380348Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.383803Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.387029Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.390379Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.394363Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.397742Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.401099Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.404280Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.407915Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.411477Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.414983Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.418277Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T22:05:20.421621Z

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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

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

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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

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

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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

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

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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

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

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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

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

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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

Resolution: 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 2026-08-17T06:30:58.91139+00:00.

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

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

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

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