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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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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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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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source=pdf_text observed=2026-08-10T16:32:14.951279Z digest=sha256:ba7fc791220c302ab8a9a669d8e3f3863a0ef84c0252afcd8eaa8f0274e3c1c1

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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source=pdf_text observed=2026-08-10T16:32:14.962413Z digest=sha256:bb8c80b815eba7fd2048cc6c9c0925e079d6aa9b8f4b9de49d2f83ae56e53f38

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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source=pdf_text observed=2026-08-10T16:32:14.970032Z digest=sha256:e0b4208cb159fc4d36d83f5104938b82f80f45022ffd4f09d79e95c7b7f23fb9

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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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:fed9eb1481e6438861a780d2201922db898119127563d5759d0bb5d4e64119aa

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:e9db826ea85ffdc8796045f522fba33b15e388a0eb9bc5998425645c43d85fcf

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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source=pdf_text observed=2026-08-10T16:32:15.019888Z digest=sha256:b8b33de3b5f86add7ca125d070a898d224748ac6d3bc3de5f962bb2bb84cf527

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=sha256:23a2b0c57fd01c936882167a3f708c7fc369f30610d32c5d0120b2826bc72102

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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source=pdf_text observed=2026-08-10T16:32:15.027755Z digest=sha256:9bbbdcc2fe3fc7d494f3e543ef6a8f58d8be40c58d4a70ac3f599fbd0549ce9d

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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source=pdf_text observed=2026-08-10T16:32:15.052471Z digest=sha256:5cb2a51ff4ec9ddab9f6d2c9fba084f8ba491b82b40129b27fb823dd61c80ee6

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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source=pdf_text observed=2026-08-10T16:32:15.056562Z digest=sha256:fe50f573456b0c751f9d8f4d3fd99bf8308f393c234abd41103ccd5feb6e23f8

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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source=pdf_text observed=2026-08-10T16:32:15.060823Z digest=sha256:070307a25eb128fed4954dcf4e11df23c2033d78727bb47fc8acf4252d49ccda

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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source=pdf_text observed=2026-08-10T16:32:15.064345Z digest=sha256:19e8d2ba031caf8ad48efef3c71d615b4cd5d488a6881dec89c6399d57712943

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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source=pdf_text observed=2026-08-10T16:32:15.071707Z digest=sha256:0277b8151c8e49c26c1940b17c8cda8cc33471d31175e577f40337fd3ac2f3c9

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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source=pdf_text observed=2026-08-10T16:32:15.079111Z digest=sha256:fcf09c8ecd19aa0d025c12148e82fc1e3ebef280ec86606d76d0b9abbba977ac

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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source=pdf_text observed=2026-08-10T16:32:15.082844Z digest=sha256:ed535c1de0c57d89bb6f227b1088af1afcd553a29c5f53bc63d8fb23a023bad4

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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source=pdf_text observed=2026-08-10T16:32:15.086493Z digest=sha256:57a18b9f9224b8d0f23e1f873664082208938fbd3aee10e008430b8a1408e5c7

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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source=pdf_text observed=2026-08-10T16:32:15.093990Z digest=sha256:60fa354c626222476d6fc59b7a6324e38b2c0c9efae20982546fdef8f1dd89fb

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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source=pdf_text observed=2026-08-10T16:32:15.105490Z digest=sha256:97037950022ea58f8df117d8ea8a16bac30d394075e9bdfb1c4661f4edea58b8

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-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T16:32:15.112983Z digest=sha256:0bee424ac337fe859f6809bf80a712877c55f4a13e15a660dfc4eff96356b038

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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source=pdf_text observed=2026-08-10T16:32:15.116747Z digest=sha256:fc65157548f0c6c4e697665b236732d498e50df80f2dcdfc70ddf3819e448229

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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source=pdf_text observed=2026-08-10T16:32:15.120214Z digest=sha256:75cd07c61ea80bc90cba990162d8e02d832bc7c470e9d17edbaf37144eed5a85

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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source=pdf_text observed=2026-08-10T16:32:15.124020Z digest=sha256:0df50660d26d2d1db84fc4489109356c1f2b39879707adbb55e2a6fc0e910fb1

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:c8c5cf795f65dc2656dc884d4b56151c0e8613e2bcefce6d885c2e174b9cafe9

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=sha256:87a01405d9f67db6ce68a546b00bdf8ba6a1271ac0f87b9195d90506d7a5d9e1

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=sha256:4c0d144f41a4b4d9db169d1c1213849adc7da1918c82e661f8f583986f4a191d

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=sha256:97124d6482a8c1635de8ff4f1ad41e4137cb199cad6682daf6bec200dcf9234b

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=sha256:86b668308da85ef796df1c41a33b8a8cb7dee37b350e78291628e9aba52d0714

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:a7ca535a09b57a7a0eadf645634e1dabf5bd44ba596709343f180e85d8bf8ae9

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=sha256:4d04abe3669922203acfadce7838528e2c4afdd5a005bee0dce5d79b4dbb40fa

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=sha256:17f709f0ff4dcdc83f73d346e0154862e9db66b22e2dabc9dcc4013c88d2036f

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=sha256:7b85f3c0eefe394acaf6df29680818b1e5beaf1bb8509cdd2c8e32d340139e32

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=sha256:7785427f4472392ffde98268d941dec74708dce77ebbea43dea025f83eab187a

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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local_arxiv, observed 2026-08-10T16:32:16.480987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T16:32:15.168515Z digest=sha256:f080d4ba165483dec6bf76005263c376b209f5ebb923cba0e999b176f0595db2

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=sha256:59dc47e4d576ff25af7b6550d5cfb9f5f408674c7a17f3a99631c5cc4437cd73

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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local_arxiv, observed 2026-08-10T16:32:16.462788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T16:32:15.177860Z digest=sha256:4f02220ab9d523ad55c09ff12c49a47dec26be58272cc6b82d2164182a032ec7

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=sha256:876cbe59ce414a3c53b6c595acf6432f198bee3ebb10ba41341f14486f8469b6

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:fdae57ce8c38d24a4371ac3c109f6398a954ebbd784fefac3562dfcde6d09913

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:edff5cc5325d2a1bb809ef72faa91455d4d12fd4159417f6d2a003b07de6d708

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=sha256:1e798f89253f4758e5f6dbc314a4763029be8d8cdca32b96b49e1292ba4b0c54

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=sha256:2846eae57e7da2eff9234f66fdbccffd89a3e678c4172b3f1c83a13cde813372

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=sha256:971990a94432dc2fa7dc6c256750edcfc09386188228b9e788fcc2f6648827d0

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=sha256:1e97b9aba52572e78a5b668351133dcac3937d6c9a81442ac963e207db5695a1

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=sha256:9bdbfe2ab60d5b60ff5d8771ba36745fd30d196d1350bec54681686cd62f949c

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=sha256:6c629b42f6b64657bd369d143b17da1386acdfce190fa8073b4d6e93a821299a

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=sha256:0ee81dea40abaef899d1d9e657e8cb2e45e9ceb52dce4fa938653b9cdcb6c9a4

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:a709d131b285b695dd51c41a5de7b00fd89247f459e0e9679febbdac8d501da5

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:ef316f2bfa340d5f3a40edeaf191e149c1e4ff5d5a5d0044c151ae6ed07ed4d5

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:fa2aeb8f1301aa0bf0077a018c25bc9a914c8f412d81800f1c7811e2b1cd05e1

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=sha256:051865168c931fd630b8c064336e93162b2c683a78f45e546c5ad8491a936f7b

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:cf2dd5e1816d3eca66c2fb8037b4dbe00496c3d09c4247b68b8ac811524773a8

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=sha256:13a9c2cc4fb31ff3917947d8208781e7b3fafae248e49a0c86560fe7b50f1fbb

Pith citing papers

No inbound Pith citation observations are available.