Paper Citation Record · LEDGER

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge

As of 11 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2505.19928.

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

pith.paper-citation-record.v1
2505.19928 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:34.940377Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

51 of 51 outbound references displayed

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External citation measurements

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Outbound references

Observation fbfb0680-d337-4d8c-a653-2412c604fd64 · outbound

This paper cites In: ICCV.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: ICCV

Reference 1

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This paper cites Layer Normalization.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Layer Normalization

Reference 2

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Observation 5021c6c2-4c4b-4725-bff2-b36ac5cb3465 · outbound

This paper cites In: International Conference of the Italian Association for Artificial Intelligence.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: International Conference of the Italian Association for Artificial Intelligence

Reference 3

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Observation 313f5eca-e0c5-4f48-a4df-572a29498f12 · outbound

This paper cites NeurIPS32(2019).

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge NeurIPS32(2019)

Reference 4

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Unresolved cited work

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This paper cites In: ECCV.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: ECCV

Reference 6

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Observation 9d9535ac-23cc-4b2b-89d4-c41582f8b8fa · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Generating Long Sequences with Sparse Transformers

Reference 7

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Observation dadcf6e0-6de0-43e4-8915-9f58f187b798 · outbound

This paper cites PACT: Parameterized Clipping Activation for Quantized Neural Networks.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge PACT: Parameterized Clipping Activation for Quantized Neural Networks

Reference 8

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Rethinking Attention with Performers

Reference 9

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Observation e9102f5b-254b-4d5a-aab5-fbdf9cdcd390 · outbound

This paper cites In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Reference 10

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Observation 4fd76f17-f6be-41a4-a788-677b00b77253 · outbound

This paper cites In: CVPR.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: CVPR

Reference 11

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Observation 8a0801bc-3660-47b2-816d-a8b42c7b7398 · outbound

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

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

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This paper cites In: CVPR.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: CVPR

Reference 13

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Observation 57d6d1ee-7792-4b1b-9c9b-ccb68b62bdef · outbound

This paper cites In: CVPR.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: CVPR

Reference 14

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This paper cites In: ICCV.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: ICCV

Reference 15

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This paper cites Pooling Methods in Deep Neural Networks, a Review.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Pooling Methods in Deep Neural Networks, a Review

Reference 16

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This paper cites In: Low-Power Computer Vision, pp.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: Low-Power Computer Vision, pp

Reference 17

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Observation b1cfde9c-9aa5-43ac-a224-d5d9f5a54b20 · outbound

This paper cites In: CVPR.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: CVPR

Reference 18

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: ECCV

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

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 20

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: CVPR

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This paper cites IEEE TPAMI35(1), 221–231 (2012).

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge IEEE TPAMI35(1), 221–231 (2012)

Reference 22

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Observation 3b257bb1-d200-45e0-b619-e044d3c622ef · outbound

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: CVPR

Reference 23

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Observation 4d403432-ecd7-42ff-a012-7cf19816face · outbound

This paper cites The Kinetics Human Action Video Dataset.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge The Kinetics Human Action Video Dataset

Reference 24

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Quantizing deep convolutional networks for efficient inference: A whitepaper

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: ICCV

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This paper cites Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey

Reference 27

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Vision Transformer for Small-Size Datasets

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: ICCV

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: CVPR

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: ICML (2010)

Reference 34

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: WACV

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: CVPR

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge An Image is Worth 16x16 Words, What is a Video Worth?

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge NeurIPS27(2014)

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge JMLR15(1), 1929–1958 (2014)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:36.747133Z

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: WACV

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: CVPR

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: ICCV

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: CVPR

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: NeurIPS

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Linformer: Self-Attention with Linear Complexity

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: CVPR

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: ECCV

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: ECCV

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: ICCV

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:35.629996Z

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Observation 08a1b07e-a4b6-4992-87fa-0401b0016d48 · outbound

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CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge In: ACCV

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Pith citing papers

No inbound Pith citation observations are available.