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Paper Citation Record · LEDGER

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision

As of 17 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 0 inbound Pith citation observations for arXiv:2501.13066.

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

pith.paper-citation-record.v1
2501.13066 v1

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:32:15.242242Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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

measured 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

100 of 299 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved97
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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Outbound references

Observation 8c15445e-ebad-4833-bdd4-10c89ad6aa10 · outbound

This paper cites Human action recognition from various data modalities: A review.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Human action recognition from various data modalities: A review

Reference 1

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Observation a13fe694-d23b-4116-9ca5-49ea4f07e70b · outbound

This paper cites Human action recognition: A taxonomy-based survey, updates, and opportunities.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Human action recognition: A taxonomy-based survey, updates, and opportunities

Reference 2

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Observation 66c6d2c6-dbdc-4a47-b983-a01da0be0c8d · outbound

This paper cites Graph convolutional neural network for human action recognition: A comprehensive survey.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Graph convolutional neural network for human action recognition: A comprehensive survey

Reference 3

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Observation 5d5b2177-be27-4d62-8b11-cbfd377b1f9a · outbound

This paper cites Vision Transformers for Action Recognition: A Survey.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Vision Transformers for Action Recognition: A Survey

Reference 4

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Observation 479c7116-314a-476d-867f-c8a8da9c614e · outbound

This paper cites A survey on video-based human action recognition: recent updates, datasets, challenges, and applications.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A survey on video-based human action recognition: recent updates, datasets, challenges, and applications

Reference 5

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Observation 78ee2d7b-764f-4e8b-b57b-5780f1c3aa2c · outbound

This paper cites Human activity recognition: A survey.Procedia Computer Science, 155:698–703, 2019.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Human activity recognition: A survey.Procedia Computer Science, 155:698–703, 2019

Reference 6

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Observation 6917e805-4b0a-4006-a092-6dcf68f8d7ef · outbound

This paper cites Human action recognition and prediction: A survey.International Journal of Computer Vision, 130(5):1366–1401, 2022.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Human action recognition and prediction: A survey.International Journal of Computer Vision, 130(5):1366–1401, 2022

Reference 7

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Observation 0366efc3-70c7-4718-986e-7acc0da9201c · outbound

This paper cites A survey on intelligent human action recognition techniques.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A survey on intelligent human action recognition techniques

Reference 8

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Observation 05b208c8-697a-4256-8236-10283c538c9c · outbound

This paper cites A Comprehensive Study of Deep Video Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A Comprehensive Study of Deep Video Action Recognition

Reference 9

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Observation 3426b91a-7763-4b6b-9630-3119e03956e7 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Imagenet classification with deep convolutional neural networks

Reference 10

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Observation d642e703-75a6-44f9-a482-ff18301a9083 · outbound

This paper cites Action recognition and detection by combining motion and appearance features.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Action recognition and detection by combining motion and appearance features

Reference 11

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Observation 0d6fa790-ef6f-44f3-8fbd-5496615b2d4a · outbound

This paper cites Large-scale video classification with convolutional neural networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Large-scale video classification with convolutional neural networks

Reference 12

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Observation 6fab0d31-d091-416e-8863-d352bd1d472d · outbound

This paper cites A key volume mining deep framework for action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A key volume mining deep framework for action recognition

Reference 13

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Observation 64ef1cfa-f349-4d6f-bc51-492472d50df5 · outbound

This paper cites Temporal action localization in untrimmed videos via multi-stage cnns.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Temporal action localization in untrimmed videos via multi-stage cnns

Reference 14

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Observation fcc737f4-3366-47dc-858b-3e38464faf03 · outbound

This paper cites A review of human activity recognition methods.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A review of human activity recognition methods

Reference 15

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source=pdf_text observed=2026-08-10T16:32:14.908337Z digest=sha256:0f38d6ae09df9a4f991a5640448a3b75db59367a7baa90b09a0b7fe071b89135

Observation 4945c4f2-0005-4c73-b941-12311219acba · outbound

This paper cites Analysis and predictive modeling of body language behavior in dyadic interactions from multimodal interlocutor cues.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Analysis and predictive modeling of body language behavior in dyadic interactions from multimodal interlocutor cues

Reference 16

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Observation 087be92c-e920-42e9-9081-1901c7723764 · outbound

This paper cites Motion part regularization: Improving action recognition via trajectory selection.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Motion part regularization: Improving action recognition via trajectory selection

Reference 17

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Observation 371113fd-e29a-4237-8e86-270b83dbe46b · outbound

This paper cites Structured learning of human interactions in tv shows.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Structured learning of human interactions in tv shows

Reference 18

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Observation 55a421b4-c4c2-4f98-8c52-cc2a23c1e7fe · outbound

This paper cites Part-based motion descriptor image for human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Part-based motion descriptor image for human action recognition

Reference 19

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Observation aae1d369-b02c-4fe1-aa3e-f33b916893d7 · outbound

This paper cites Don’t classify ratings of affect; rank them! IEEE transactions on affective computing, 5(3):314–326, 2014.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Don’t classify ratings of affect; rank them! IEEE transactions on affective computing, 5(3):314–326, 2014

Reference 20

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Observation d30a3074-760f-459f-9ef5-51e0b0734380 · outbound

This paper cites Discriminative latent models for recognizing contextual group activities.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Discriminative latent models for recognizing contextual group activities

Reference 21

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Observation b295e110-6db5-4da2-9be8-91c9f36bbe34 · outbound

This paper cites Generating Tennis Player by the Predicting Movement Using 2D Pose Estimation.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Generating Tennis Player by the Predicting Movement Using 2D Pose Estimation

Reference 22

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Observation 1858db22-acee-4b39-88df-137e82979a03 · outbound

This paper cites Pose2trajectory: Using transformers on body pose to predict tennis player’s trajectory.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Pose2trajectory: Using transformers on body pose to predict tennis player’s trajectory

Reference 23

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Observation fbe54013-d32b-41b5-b21a-9415c7ca8240 · outbound

This paper cites Deep learning based advanced spatio-temporal extraction model in medical sports rehabilitation for motion analysis and data processing.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Deep learning based advanced spatio-temporal extraction model in medical sports rehabilitation for motion analysis and data processing

Reference 24

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Observation 9b06392b-6ed6-4e36-a097-df644d024462 · outbound

This paper cites Two-stream convolutional networks for action recognition in videos.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Two-stream convolutional networks for action recognition in videos

Reference 25

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Observation a1967d74-4640-439a-8c88-f94d3f61faab · outbound

This paper cites Going deeper with two-stream ConvNets for action recognition in video surveillance.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Going deeper with two-stream ConvNets for action recognition in video surveillance

Reference 26

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Observation e13fc381-7186-4000-95bd-c5331c6585bc · outbound

This paper cites Distinct two-stream convolutional networks for human action recognition in videos using segment-based temporal modeling.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Distinct two-stream convolutional networks for human action recognition in videos using segment-based temporal modeling

Reference 27

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Observation 2d4b7008-bf4b-4772-beaf-ff7b79708a4f · outbound

This paper cites Action Recognition Based on Two-Stream Convolutional Networks With Long-Short-Term Spatiotemporal Features.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Action Recognition Based on Two-Stream Convolutional Networks With Long-Short-Term Spatiotemporal Features

Reference 28

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Observation 502220b6-612b-4375-96e5-67d5bb333cb4 · outbound

This paper cites Learning Long-Term Temporal Features With Deep Neural Networks for Human Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning Long-Term Temporal Features With Deep Neural Networks for Human Action Recognition

Reference 29

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Observation 07f23f85-2c8a-4f6d-97ca-f57dc377b6f4 · outbound

This paper cites Human action recognition using two-stream attention based LSTM networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Human action recognition using two-stream attention based LSTM networks

Reference 30

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Observation 1eba7d48-2abf-413a-825e-c011ba8ee981 · outbound

This paper cites Human Action Recognition Based on Improved Two- Stream Convolution Network.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Human Action Recognition Based on Improved Two- Stream Convolution Network

Reference 31

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Observation f0d95b6c-80d1-4a13-ae1b-3b8e371b013f · outbound

This paper cites Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks

Reference 32

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Observation 38ab6f59-91b5-4aa2-b39f-4e0eb0b9a290 · outbound

This paper cites Two-stream flow-guided convolutional attention networks for action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Two-stream flow-guided convolutional attention networks for action recognition

Reference 33

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Observation 221b8831-5c80-4475-9dcb-9632412071a2 · outbound

This paper cites Convolutional two-stream network fusion for video action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Convolutional two-stream network fusion for video action recognition

Reference 34

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source=pdf_text observed=2026-08-10T16:32:14.980804Z digest=sha256:ee14e68dc142f8bdabd73cddf2d503f8ff83523da03775ff0a202eb50191dac9

Observation 48651237-e08c-4f71-9970-9dc77096cca3 · outbound

This paper cites Unsupervised motion representation enhanced network for action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Unsupervised motion representation enhanced network for action recognition

Reference 35

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Observation 96c8dd36-40ae-4a23-9a8b-421f86f56f1e · outbound

This paper cites Two stream lstm: A deep fusion framework for human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Two stream lstm: A deep fusion framework for human action recognition

Reference 36

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source=pdf_text observed=2026-08-10T16:32:14.987883Z digest=sha256:1b61703c7d7d6b36061bbb47243b7ba8efe78fff463bda075e79dd08ba535de6

Observation 8285d86e-add2-405b-b861-be1ec74d7c1a · outbound

This paper cites Learning from temporal gradient for semi-supervised action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning from temporal gradient for semi-supervised action recognition

Reference 37

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source=pdf_text observed=2026-08-10T16:32:14.991247Z digest=sha256:126a57e1193ba5976eb8da578bec206a5127a1f19d50b64dca964bd74f6966af

Observation fd5ac46e-ed3f-426d-8013-18cd7b608837 · outbound

This paper cites Deep residual learning for image recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Deep residual learning for image recognition

Reference 38

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Observation 694442f2-9be6-4136-988b-5b90f9671ce0 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 39

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Observation 1265e5fe-e630-4a1e-a629-64576f35bbb3 · outbound

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

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 40

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Observation 3cdbb72b-9ff7-4d06-a9dc-d272f20a5660 · outbound

This paper cites Hearst, Susan T Dumais, Edgar Osuna, John Platt, and Bernhard Scholkopf.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Hearst, Susan T Dumais, Edgar Osuna, John Platt, and Bernhard Scholkopf

Reference 41

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Observation 006914c4-5c71-4e06-98b3-0f0e8e360a98 · outbound

This paper cites A novel recurrent hybrid network for feature fusion in action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A novel recurrent hybrid network for feature fusion in action recognition

Reference 42

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Observation af855d72-9b56-4d77-9fbe-bdbae898665c · outbound

This paper cites Going deeper with convolutions.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Going deeper with convolutions

Reference 43

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Observation cf109c2b-8d55-44b2-a1cd-8e730af1ab6b · outbound

This paper cites Temporal segment networks: Towards good practices for deep action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Temporal segment networks: Towards good practices for deep action recognition

Reference 44

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Observation 1c1832da-91d1-4aac-9d24-62e0fbc1b576 · outbound

This paper cites Fsformer: Fast-slow transformer for video action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Fsformer: Fast-slow transformer for video action recognition

Reference 45

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source=pdf_text observed=2026-08-10T16:32:15.023638Z digest=sha256:de79e88eabd83bf888b181f498851682073006c27007930b2637b86ec026755f

Observation b3b56d9b-b085-4195-b9ab-69d6f1293329 · outbound

This paper cites Slowfast networks for video recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Slowfast networks for video recognition

Reference 46

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Observation f9ec939b-9de7-45fd-8e89-bc633495c5b0 · outbound

This paper cites A novel two-stream transformer-based framework for multi-modality human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A novel two-stream transformer-based framework for multi-modality human action recognition

Reference 47

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Observation 9a08ad0e-d9bf-4859-ba8f-f158b5efead7 · outbound

This paper cites Learning long-term temporal features with deep neural networks for human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning long-term temporal features with deep neural networks for human action recognition

Reference 48

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Observation 6d01600f-87bd-4479-8c35-90b246ad66f7 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 49

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Observation fb3b8262-ffe0-4af6-81b8-3f48aa417569 · outbound

This paper cites Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

Reference 50

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Observation e80126a2-9528-4338-987a-be4295d4e8f1 · outbound

This paper cites 3d convolutional neural networks for human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision 3d convolutional neural networks for human action recognition

Reference 51

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Observation d6bce175-18bf-45b5-a7ab-cbf2b78b5b37 · outbound

This paper cites Detecting human actions in surveillance videos.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Detecting human actions in surveillance videos

Reference 52

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Observation 71b1a12d-9431-48f3-a9a7-d59a673b8d56 · outbound

This paper cites Recognizing human actions: a local svm approach.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Recognizing human actions: a local svm approach

Reference 53

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Observation 2f6481ab-83e8-41dc-afa9-6b58878a45f8 · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning spatiotemporal features with 3d convolutional networks

Reference 54

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Observation 1de64ce2-6268-48e2-8403-8a317a1d8403 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Quo vadis, action recognition? a new model and the kinetics dataset

Reference 55

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Observation d91cd113-c562-42fa-b6b6-4a06b64731a1 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Imagenet: A large-scale hierarchical image database

Reference 56

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Observation 8a584ac0-34d8-4f09-8d6e-7813b3c1f0a0 · outbound

This paper cites Learning spatio-temporal representation with pseudo-3d residual networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning spatio-temporal representation with pseudo-3d residual networks

Reference 57

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Observation bef72ae3-ffbf-43e9-a4f3-ad767060b4d4 · outbound

This paper cites Non-local neural networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Non-local neural networks

Reference 58

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Observation 4baf12b3-8907-4e4a-aefc-197ee96ede2d · outbound

This paper cites Eco: Efficient convolutional network for online video understanding.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Eco: Efficient convolutional network for online video understanding

Reference 59

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Observation 579ac752-e06b-4b37-84da-a88145ce26a7 · outbound

This paper cites X3d: Expanding architectures for efficient video recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision X3d: Expanding architectures for efficient video recognition

Reference 60

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Observation 93f70f25-f493-47e7-8742-25661656c2eb · outbound

This paper cites 3d deformable convolution temporal reasoning network for action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision 3d deformable convolution temporal reasoning network for action recognition

Reference 61

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Observation ada102a0-6947-449c-9254-648448165d59 · outbound

This paper cites The graph neural network model.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision The graph neural network model

Reference 62

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Observation b36196d6-8df2-4d98-8e9a-8da46f8f7e21 · outbound

This paper cites Adaptive graph convolutional neural networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Adaptive graph convolutional neural networks

Reference 63

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Observation 3d076cca-0844-4c66-9a44-ba8c3b29d3e4 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Semi-Supervised Classification with Graph Convolutional Networks

Reference 64

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Observation 0f257fa7-73fd-43c3-a176-b07371473bcf · outbound

This paper cites Graph Attention Networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Graph Attention Networks

Reference 65

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Observation aaa1ebb9-f365-4d2b-b6a6-1006ee31def1 · outbound

This paper cites How Powerful are Graph Neural Networks?.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision How Powerful are Graph Neural Networks?

Reference 66

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Observation 765ff082-652d-49e5-9b07-c089e014e2e5 · outbound

This paper cites Graphsage-based traffic speed forecasting for segment network with sparse data.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Graphsage-based traffic speed forecasting for segment network with sparse data

Reference 67

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Observation c416f37d-4b20-4134-b48d-74c1d4890055 · outbound

This paper cites 3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision 3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs

Reference 68

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source=pdf_text observed=2026-08-10T16:32:15.112983Z digest=sha256:419f5b51acef0c618fdcf5d992bed7879bc2915125cf9b536e063e50fd860bd0

Observation 62d9fd25-fae7-42cf-a081-998fcbf7d941 · outbound

This paper cites Learning graph convolutional network for skeleton- based human action recognition by neural searching.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning graph convolutional network for skeleton- based human action recognition by neural searching

Reference 69

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Observation 3d4c2723-e0e5-4cf8-b7f2-a6058cd4ffa0 · outbound

This paper cites Spatial temporal graph convolutional networks for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Spatial temporal graph convolutional networks for skeleton-based action recognition

Reference 70

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Observation bff6d5b4-dd8e-4a8c-a10c-05e5d235dcb3 · outbound

This paper cites Actional-structural graph convolu- tional networks for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Actional-structural graph convolu- tional networks for skeleton-based action recognition

Reference 71

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Observation e7bd302f-a110-4977-8f66-852dd5470c1b · outbound

This paper cites Disentangling and unifying graph convolutions for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Disentangling and unifying graph convolutions for skeleton-based action recognition

Reference 72

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source=pdf_text observed=2026-08-10T16:32:15.127809Z digest=sha256:580c45f3595574be19451c1ff3011746ec2f2c455d1f81e6a03fcb9acf977cfb

Observation 248fc9ad-7359-4067-8b00-bcedc947eae5 · outbound

This paper cites An attention enhanced graph convolutional lstm network for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision An attention enhanced graph convolutional lstm network for skeleton-based action recognition

Reference 73

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source=pdf_text observed=2026-08-10T16:32:15.131655Z digest=sha256:3dab242774240a3a1aad94674ac8ae90a976943d50738ba4d1c7737a9691f5d6

Observation 8f2514ef-dc10-48cf-93c2-03e7c74b08d3 · outbound

This paper cites Skeleton-based action recognition by part-aware graph convolutional networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Skeleton-based action recognition by part-aware graph convolutional networks

Reference 74

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source=pdf_text observed=2026-08-10T16:32:15.135274Z digest=sha256:a42d5fef9e37888aa59f4653adb5d784d598b167802a8b0d5bd2c05a17b2f51e

Observation 2d5de48a-0d42-4012-afa5-830a4402c6fa · outbound

This paper cites Generative Action Description Prompts for Skeleton-based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Generative Action Description Prompts for Skeleton-based Action Recognition

Reference 75

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source=pdf_text observed=2026-08-10T16:32:15.139131Z digest=sha256:7da955b5bed3b09f6684cf80faa321191fddc6a6a98d8fd0cd276c172c389e01

Observation ad5f850f-3562-44a8-a039-f80e1070ad4e · outbound

This paper cites Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition

Reference 76

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source=pdf_text observed=2026-08-10T16:32:15.143322Z digest=sha256:da3eb212bae4d772e810b37aa74c1e55de1ead58ee9b376713c6bdc95f4c54f7

Observation c4b226da-5d2c-4f12-a16f-6ddeae3d9520 · outbound

This paper cites Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition

Reference 77

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source=pdf_text observed=2026-08-10T16:32:15.146978Z digest=sha256:5771c80525d40323d21dc1f5ba8db70307b74249e678645c3478ded24be8d59f

Observation 4f29cd74-197f-4878-b05a-508a10b31fc4 · outbound

This paper cites DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition

Reference 78

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source=pdf_text observed=2026-08-10T16:32:15.151043Z digest=sha256:28fe0b3f3a74ff98b1b116d38bf0aa7a350711aa02b462a16e007cbc6a5653f7

Observation a906fd36-919d-45c8-b820-a93873abf7f7 · outbound

This paper cites Infogcn: Representation learning for human skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Infogcn: Representation learning for human skeleton-based action recognition

Reference 79

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source=pdf_text observed=2026-08-10T16:32:15.155752Z digest=sha256:a277787b4042604682d7a7a27fe7e59fa291b014f9e5f3e7a8489e5e829965c9

Observation e82b7616-ffe9-4188-9c8f-6b20cb44fbc4 · outbound

This paper cites Graph Contrastive Learning for Skeleton-based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Graph Contrastive Learning for Skeleton-based Action Recognition

Reference 80

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source=pdf_text observed=2026-08-10T16:32:15.159437Z digest=sha256:6fcc0f35d5fcec0a776bdad5e3cf60a1bc716f2544195a17240540fb616a0133

Observation fd96fbdc-22a7-4529-b41c-6db41bb9200e · outbound

This paper cites Spatial–temporal dynamic graph attention network for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Spatial–temporal dynamic graph attention network for skeleton-based action recognition

Reference 81

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source=pdf_text observed=2026-08-10T16:32:15.163569Z digest=sha256:d5441e0fd5bf572bddd0e787b5ec0e3ae4945ff2590928514f4f8091a8294ac5

Observation 60f0e876-972f-4828-96c6-42529abad5ec · outbound

This paper cites PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition

Reference 82

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T16:32:15.168515Z digest=sha256:4c5d1b3d31ca02a6cb3f2ac35e83f2ae86fd4b60fb904c3bc23d9358233a23d7

Observation 0ba568af-5747-4338-b709-975896206bf8 · outbound

This paper cites Learning discriminative representations for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning discriminative representations for skeleton-based action recognition

Reference 83

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source=pdf_text observed=2026-08-10T16:32:15.173491Z digest=sha256:25490299847a2b2c65f2a60aa4e88302be5b1d105ff614c21090e43e1164d03f

Observation 0e416f82-b135-43ab-8a6d-51e06889471b · outbound

This paper cites Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition

Reference 84

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T16:32:15.177860Z digest=sha256:e6b0a1fb3158596a7a375b0e3cac246c59c554225fb0e5b17d03fd4ebd2e5954

Observation 2398489a-4e61-475e-be77-ec8cff098111 · outbound

This paper cites Skeleton-based Action Recognition via Temporal-Channel Aggregation.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Skeleton-based Action Recognition via Temporal-Channel Aggregation

Reference 85

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source=pdf_text observed=2026-08-10T16:32:15.181938Z digest=sha256:f6a4681e6985eadea30da7af21f55ee1e79d5fb3be8ed6f6b75fcacb536914dd

Observation d0d1a087-645a-4c7f-a5c4-62e7530dfb5b · outbound

This paper cites Temporal decoupling graph convolutional network for skeleton-based gesture recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Temporal decoupling graph convolutional network for skeleton-based gesture recognition

Reference 86

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source=pdf_text observed=2026-08-10T16:32:15.186014Z digest=sha256:e34d13247a121968dc282ca7b61881282e9374669834f0a811ccc07cc5b3b914

Observation e6831011-386b-4b99-a6fd-42e69dc200fc · outbound

This paper cites Mict: Mixed 3d/2d convolutional tube for human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Mict: Mixed 3d/2d convolutional tube for human action recognition

Reference 87

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source=pdf_text observed=2026-08-10T16:32:15.190126Z digest=sha256:d431e39f197af3cb1be678a567d958ef563cc03a54e03dbd96708b39ee61f8f1

Observation d39f7466-2cf2-459e-8c9d-c8d167a82202 · outbound

This paper cites Stacked spatio-temporal graph convolutional networks for action segmentation.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Stacked spatio-temporal graph convolutional networks for action segmentation

Reference 88

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source=pdf_text observed=2026-08-10T16:32:15.194144Z digest=sha256:dd639b74192898f11bb9720b553cfcda6484a06b7bbbeef3e8351c2fe8c51773

Observation 5b847834-a033-4b6b-ba05-f1e3102e32b7 · outbound

This paper cites Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction

Reference 89

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source=pdf_text observed=2026-08-10T16:32:15.197892Z digest=sha256:cb183ced6b9179b74f71b487cfc036e1bdf253a81f30ce4dba575ecbd48edb00

Observation a547197a-5645-47ab-8e96-2e65be51661e · outbound

This paper cites Two-stream adaptive graph convolutional networks for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Two-stream adaptive graph convolutional networks for skeleton-based action recognition

Reference 90

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source=pdf_text observed=2026-08-10T16:32:15.201721Z digest=sha256:d0f306f8530157b9dcd8ab8b949523b3f688589391598664d9c333f200c4cbf8

Observation 112a946d-30c1-4441-9d57-ea42cbf36a87 · outbound

This paper cites Edge and node graph convolutional neural network for human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Edge and node graph convolutional neural network for human action recognition

Reference 91

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source=pdf_text observed=2026-08-10T16:32:15.205236Z digest=sha256:b4ce181e512796d44116296ae99c8b4123cda880cd136c3a2a981aa74e0838f7

Observation 11e0ebf2-7481-47ae-b79f-d8ed655c63a8 · outbound

This paper cites Improving action recognition with the graph- neural-network-based interaction reasoning.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Improving action recognition with the graph- neural-network-based interaction reasoning

Reference 92

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source=pdf_text observed=2026-08-10T16:32:15.209228Z digest=sha256:6a6a45060520293bd6197b6a47e83374c6324805062accff9bc09c81373b5dcb

Observation fd505abf-befb-4710-b842-e342ad9d22a8 · outbound

This paper cites Skeleton-based action recognition with directed graph neural networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Skeleton-based action recognition with directed graph neural networks

Reference 93

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source=pdf_text observed=2026-08-10T16:32:15.213250Z digest=sha256:2b92a35512712c73a5fabd19fa8bee3e915eb72359a8fa5525ca2fb990b12fb6

Observation cca27e29-ae2f-467e-8ccd-c08b6449250e · outbound

This paper cites Graph interaction networks for relation transfer in human activity videos.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Graph interaction networks for relation transfer in human activity videos

Reference 94

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source=pdf_text observed=2026-08-10T16:32:15.217050Z digest=sha256:53023a50f6fb73418ee3061ae7404cffd1ae22c057bf2ed40c4542933e6e322f

Observation 7365904b-3a40-4a3e-867f-8dbbdaa28e33 · outbound

This paper cites I know the relationships: Zero-shot action recognition via two-stream graph convolutional networks and knowledge graphs.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision I know the relationships: Zero-shot action recognition via two-stream graph convolutional networks and knowledge graphs

Reference 95

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source=pdf_text observed=2026-08-10T16:32:15.220946Z digest=sha256:421d6bda18a1fce6b3712d50f00a34db9df46873eaa25c5185c8e44d14a9d90f

Observation 10b29226-e65d-4d42-89ab-0fe8adb6b05f · outbound

This paper cites Learning to model relationships for zero-shot video classifica- tion.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning to model relationships for zero-shot video classifica- tion

Reference 96

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source=pdf_text observed=2026-08-10T16:32:15.224784Z digest=sha256:b04e1dae04ee17cd4b48440e759ce038ff14f23c5a6aca6051fc4f3a33902786

Observation decfecb7-5def-4ccc-b6a8-1bd131ff9d50 · outbound

This paper cites Deep progressive reinforcement learning for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Deep progressive reinforcement learning for skeleton-based action recognition

Reference 97

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source=pdf_text observed=2026-08-10T16:32:15.228720Z digest=sha256:0c135ac1fc084e90ae43ecbf48d98fce1438f7e324e342a497b859f6571199b3

Observation cfc32e2d-9849-40cf-a73e-d4a04198a711 · outbound

This paper cites Skeleton-based action recognition using multi-scale and multi-stream improved graph convolutional network.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Skeleton-based action recognition using multi-scale and multi-stream improved graph convolutional network

Reference 98

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source=pdf_text observed=2026-08-10T16:32:15.234669Z digest=sha256:557a06c4247c1d89526081d0d594aaa93aae561418d415e902fd7ca75cf38bf6

Observation 852b8c3c-2dad-490f-a8a6-99e6427fc1e5 · outbound

This paper cites Aggarwal and Q.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Aggarwal and Q

Reference 99

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source=pdf_text observed=2026-08-10T16:32:15.238567Z digest=sha256:fb1f4d288c1e412d2e894e3af751e52a68a584db9bfdacc7bcfdd0163ac696d3

Observation dfc7c30e-c028-4143-a64e-95bc1799f503 · outbound

This paper cites Horn and Brian G.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Horn and Brian G

Reference 100

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source=pdf_text observed=2026-08-10T16:32:15.242242Z digest=sha256:cc6e74d469527f30f794d7584bb723ca4ffa1ebb704b814e23133fe420815198

Pith citing papers

No inbound Pith citation observations are available.