Paper Citation Record · LEDGER

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1908.03812.

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

pith.paper-citation-record.v1
1908.03812 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:04:23.091483Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 1cb2f13d-3f81-486c-b7b8-5186378953c1 · outbound

This paper cites Incremental learning for robust visual tracking,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Incremental learning for robust visual tracking,

Reference 1

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Observation ca60829b-256c-4eb9-9272-a6ec912f9bb2 · outbound

This paper cites Tracking-learning-detection,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Tracking-learning-detection,

Reference 2

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Observation 0d8f9bed-f71e-44df-adf9-a9b4571de8ef · outbound

This paper cites Online discriminative object tracking with local sparse representation,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Online discriminative object tracking with local sparse representation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:23.734797Z

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Observation a28c81bc-efeb-43fb-8405-b546d2b2a60a · outbound

This paper cites A comparison of adaptive appearance methods for tracking faces in video surveillance,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance A comparison of adaptive appearance methods for tracking faces in video surveillance,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:04:23.720621Z

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Observation 0b77aafd-c7c9-4cd2-b8d5-d080c2df3d02 · outbound

This paper cites A super- fast online face tracking system for video surveillance,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance A super- fast online face tracking system for video surveillance,

Reference 5

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Observation 5a82fa23-8317-474f-a200-a3a1a985e4a3 · outbound

This paper cites Deep learning,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Deep learning,

Reference 6

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Observation 9ac58459-332d-4910-a3fd-a9ee9f3fd893 · outbound

This paper cites Deep Learning in Neural Networks: An Overview.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Deep Learning in Neural Networks: An Overview

Reference 7

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Observation 43b7d046-e746-4c79-9612-34ebc27b9eaf · outbound

This paper cites Imagenet classiﬁcation with deep convolutional neural networks,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Imagenet classiﬁcation with deep convolutional neural networks,

Reference 8

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Observation 99856a1b-d743-4b22-b387-38ff0cb91d8d · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 9

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Observation 2534d390-14a9-4373-b649-85c3133e394c · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 10

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Observation 4e01a83a-fc1d-425c-b82b-619575be9865 · outbound

This paper cites Decoupled deep neural network for semi-supervised semantic segmentation,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Decoupled deep neural network for semi-supervised semantic segmentation,

Reference 11

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Observation 6c4b358b-a7fe-4295-9297-c2ded1d1e919 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Fully convolutional networks for semantic segmentation,

Reference 12

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Observation c0d02a18-2f85-4587-971f-c3f80a0bf264 · outbound

This paper cites L.: Deepface: Closing the gap to human-level performance in face veriﬁcation,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance L.: Deepface: Closing the gap to human-level performance in face veriﬁcation,

Reference 13

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Observation 2e816725-dbb6-4a3b-87ae-cd9bc373e58b · outbound

This paper cites The visual object tracking vot2015 challenge results,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance The visual object tracking vot2015 challenge results,

Reference 14

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Observation 11e6087f-f0c7-4418-9b70-8d2b5add8764 · outbound

This paper cites The visual object tracking vot2016 challenge results,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance The visual object tracking vot2016 challenge results,

Reference 15

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This paper cites The visual object tracking vot2017 challenge results,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance The visual object tracking vot2017 challenge results,

Reference 16

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Observation c306eff8-fb67-4381-badd-c89a2e6e5a52 · outbound

This paper cites The sixth visual object tracking vot2018 challenge results,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance The sixth visual object tracking vot2018 challenge results,

Reference 17

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Observation 237fd2fe-80b0-4931-9a91-b875f275d3e1 · outbound

This paper cites A twofold siamese network for real-time object tracking,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance A twofold siamese network for real-time object tracking,

Reference 18

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Observation 867a20ea-649c-4b11-9eea-0cf3372bd797 · outbound

This paper cites Learning attentions: Residual attentional siamese network for high performance online visual tracking,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Learning attentions: Residual attentional siamese network for high performance online visual tracking,

Reference 19

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This paper cites Learning to track at 100 fps with deep regression networks,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Learning to track at 100 fps with deep regression networks,

Reference 20

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Observation 085dc429-72c7-4e3b-abbc-054cd6563822 · outbound

This paper cites A survey on leveraging deep neural networks for object tracking,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance A survey on leveraging deep neural networks for object tracking,

Reference 21

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Observation c985a30a-b7f3-41e1-be7b-999558a22dff · outbound

This paper cites Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition,

Reference 22

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Observation 30473432-e409-4867-8c2c-94fc717a8b1f · outbound

This paper cites Hierarchical convolutional features for visual tracking,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Hierarchical convolutional features for visual tracking,

Reference 23

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Observation c24176b9-46e1-45f7-954d-c880bce90471 · outbound

This paper cites Visual tracking with fully convolutional networks,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Visual tracking with fully convolutional networks,

Reference 24

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Observation face5f4e-a383-46f6-84bf-e838afc8582f · outbound

This paper cites Mouse Face Tracking Using Convolutional Neural Networks,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Mouse Face Tracking Using Convolutional Neural Networks,

Reference 25

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Observation 55aba4a9-de71-45a8-897c-241d07392515 · outbound

This paper cites Mouse face tracking using convolutional neural networks,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Mouse face tracking using convolutional neural networks,

Reference 26

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Observation f08638ae-4bcb-4c29-8888-c9a1b0bc2d3a · outbound

This paper cites Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance,

Reference 27

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This paper cites Deep face recognition,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Deep face recognition,

Reference 28

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Observation fecab742-938b-40a2-8c0a-af584a214e49 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 29

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This paper cites Dropout: A simple way to prevent neural networks from overﬁtting,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Dropout: A simple way to prevent neural networks from overﬁtting,

Reference 30

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This paper cites Dlib-ml: A machine learning toolkit,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Dlib-ml: A machine learning toolkit,

Reference 31

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This paper cites Adam: A Method for Stochastic Optimization.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Adam: A Method for Stochastic Optimization

Reference 32

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Observation 2425864c-2bdb-4c57-a7f4-4b8ec91a306d · outbound

This paper cites Automatic differentiation in pytorch,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Automatic differentiation in pytorch,

Reference 33

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Observation 6b96332a-9880-44f5-89f7-571ebbf79749 · outbound

This paper cites Is my new tracker really better than yours?.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Is my new tracker really better than yours?

Reference 34

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Observation 1572f732-4059-4509-830e-150c24ccc7e4 · outbound

This paper cites Visual object tracking per- formance measures revisited,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Visual object tracking per- formance measures revisited,

Reference 35

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This paper cites Imagenet classiﬁcation with deep convolutional neural networks,.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Imagenet classiﬁcation with deep convolutional neural networks,

Reference 36

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Observation c2aaf606-604c-4392-b79b-fd729ffb28d9 · outbound

This paper cites Available: http://dx.doi.org/10.1109/ICCV .2015.352.

Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance Available: http://dx.doi.org/10.1109/ICCV .2015.352

Reference 3082

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Pith citing papers

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