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Paper Citation Record · LEDGER

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition

As of 22 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2411.19041.

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

pith.paper-citation-record.v1
2411.19041 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:41:52.389174Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T22:31:13.391859Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T22:32:10.995864Z

Reference resolution

64 of 64 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d03c3966-b7b4-498b-b70a-5e7327f072dd · outbound

This paper cites StyleDomain: Efficient and lightweight parameteriza- tions of StyleGAN for one-shot and few-shot domain adap- tation.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition StyleDomain: Efficient and lightweight parameteriza- tions of StyleGAN for one-shot and few-shot domain adap- tation

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c81721e7-2b96-452d-9ed6-4d1500a50fc1 · outbound

This paper cites ViViT: A video vision transformer.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition ViViT: A video vision transformer

Reference 2

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Source-reported events for the cited work

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Observation befc249e-a94a-4c71-8033-36467cb715a5 · outbound

This paper cites TARN: Temporal attentive relation network for few-shot and zero-shot action recognition.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition TARN: Temporal attentive relation network for few-shot and zero-shot action recognition

Reference 3

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Observation 03ca64df-42e1-4e30-afb1-78486075ad90 · outbound

This paper cites Pattern recognition and machine learning.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Pattern recognition and machine learning

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f6f61c86-6b50-43dc-8c28-b22491a549e8 · outbound

This paper cites Few-shot action recognition with implicit temporal alignment and pair similarity optimization.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Few-shot action recognition with implicit temporal alignment and pair similarity optimization

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e6c58cc5-d1e8-4af8-b71c-a24fb42e78b4 · outbound

This paper cites Few-shot video classification via tempo- ral alignment.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Few-shot video classification via tempo- ral alignment

Reference 6

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Source-reported events for the cited work

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Observation e79aafc2-6021-4ff2-95b0-bfe2baf1302a · outbound

This paper cites Quo vadis, Action Recognition? A new model and the kinetics dataset.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Quo vadis, Action Recognition? A new model and the kinetics dataset

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 70a11b78-8b49-47f1-9e59-7d90be106f87 · outbound

This paper cites Tem- adapter: Adapting image-text pretraining for video question answer.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Tem- adapter: Adapting image-text pretraining for video question answer

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7fc877b9-d9d3-4244-8945-5283d1b277a8 · outbound

This paper cites Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models

Reference 9

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Source-reported events for the cited work

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Observation 01c2cc31-a00a-4e9b-8b73-a6fdb56df9d4 · outbound

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

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition ImageNet: A large-scale hierarchical image database

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bb064e9d-9461-47cb-a4e8-b5b2f7e7157f · outbound

This paper cites Tuning pre-trained model via moment probing.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Tuning pre-trained model via moment probing

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ac781967-87e1-49eb-986c-8f817598dcca · outbound

This paper cites Exploring the cross-domain action recognition prob- lem by deep feature learning and cross-domain learning.IEEE Access, 6:68989–69008, 2018.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Exploring the cross-domain action recognition prob- lem by deep feature learning and cross-domain learning.IEEE Access, 6:68989–69008, 2018

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2609d7b5-2ff4-450e-87f6-98982c482249 · outbound

This paper cites A pairwise attentive adversarial spatiotemporal network for cross-domain few-shot action recognition-R2.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition A pairwise attentive adversarial spatiotemporal network for cross-domain few-shot action recognition-R2

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b1838c3f-a8ac-42cd-8917-4aa437bc4636 · outbound

This paper cites A novel multiple-view adversarial learning network for unsupervised domain adaptation action recog- nition.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition A novel multiple-view adversarial learning network for unsupervised domain adaptation action recog- nition

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1001e78a-1b72-484e-bfe7-d76a8f2fc17b · outbound

This paper cites Towards better robustness against common corruptions for unsupervised domain adaptation.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Towards better robustness against common corruptions for unsupervised domain adaptation

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 38597f82-6e06-47a8-aedf-4c6d7da93d1c · outbound

This paper cites Something Something.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Something Something

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1979dec1-0e7a-471c-b47c-2550150c0b88 · outbound

This paper cites Con- sistency prototype module and motion compensation for few- shot action recognition (CLIP-CPM 2C).

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Con- sistency prototype module and motion compensation for few- shot action recognition (CLIP-CPM 2C)

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 06893d35-5738-4d3f-8e1e-68216b12c6ed · outbound

This paper cites DMSD-CDFSAR: Distillation from mixed-source domain for cross-domain few-shot action recognition.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition DMSD-CDFSAR: Distillation from mixed-source domain for cross-domain few-shot action recognition

Reference 18

Resolution
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raw_fallback, observed 2026-08-12T10:41:52.961445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0ee90e67-b708-427c-86d3-817741ed1297 · outbound

This paper cites Codella, Leonid Karlinsky, James V.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Codella, Leonid Karlinsky, James V

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 45d6a638-a362-4cb3-92cf-9d0415151dca · outbound

This paper cites Masked autoencoders are scalable vision learners.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Masked autoencoders are scalable vision learners

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3640f397-9e85-463a-960e-53aea34f1051 · outbound

This paper cites Parameter-efficient transfer learning for NLP.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Parameter-efficient transfer learning for NLP

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 738c7053-c68b-4627-bfea-c736e742c42f · outbound

This paper cites Dy- namic distillation network for cross-domain few-shot recog- nition with unlabeled data.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Dy- namic distillation network for cross-domain few-shot recog- nition with unlabeled data

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c6e42d69-0fe8-4903-8935-fe23cae2091c · outbound

This paper cites Kuehne, H.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Kuehne, H

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cb5005d1-a31f-4ed7-b908-3d9030c622e8 · outbound

This paper cites UniFormerV2: Unlocking the 9 potential of image vits for video understanding.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition UniFormerV2: Unlocking the 9 potential of image vits for video understanding

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ed8ce010-5ef5-49b6-8576-49b1407b9b32 · outbound

This paper cites RESOUND: To- wards action recognition without representation bias.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition RESOUND: To- wards action recognition without representation bias

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.886041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8d77ec7a-d311-4af2-a727-c89f88dc797a · outbound

This paper cites Scaling & shifting your features: A new baseline for efficient model tuning.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Scaling & shifting your features: A new baseline for efficient model tuning

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7e99c0be-09af-4fed-a89d-121e1cd530f4 · outbound

This paper cites Deep quality assessment of com- pressed videos: A subjective and objective study.IEEE Trans- actions on Circuits and Systems for Video Technology, 33(6): 2616–2626, 2023.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Deep quality assessment of com- pressed videos: A subjective and objective study.IEEE Trans- actions on Circuits and Systems for Video Technology, 33(6): 2616–2626, 2023

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 390d0bb9-281a-48c0-ab53-5761d35fac7c · outbound

This paper cites MASTAF: A model-agnostic spatio-temporal attention fusion network for few-shot video classification.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition MASTAF: A model-agnostic spatio-temporal attention fusion network for few-shot video classification

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.851770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c061ede7-aee9-4395-940f-21af19ce1375 · outbound

This paper cites TAM: Temporal adaptive module for video recognition.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition TAM: Temporal adaptive module for video recognition

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.840819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5991fad7-99e4-40f9-a0dd-90337a5ad880 · outbound

This paper cites Fine-grained unsupervised do- main adaptation for gait recognition.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Fine-grained unsupervised do- main adaptation for gait recognition

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.828973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.259617Z digest=sha256:72f4112f457d475849e1129329d735f09315ac9e3d119be19bb960b169cd0aa1

Observation ca28380d-225e-4dbf-b815-f7cbd5da102d · outbound

This paper cites RareAct: A video dataset of unusual interactions.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition RareAct: A video dataset of unusual interactions

Reference 31

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no resolver link, observed 2026-08-12T10:41:52.263073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a21be97b-0fe7-4504-8eb7-afd0812a1e94 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition DINOv2: Learning Robust Visual Features without Supervision

Reference 32

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unresolved
no resolver link, observed 2026-08-12T10:41:52.266932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ce45bf6e-ba3a-4199-9f3f-39841d9e8a22 · outbound

This paper cites ST-Adapter: Parameter-efficient image-to-video transfer learning.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition ST-Adapter: Parameter-efficient image-to-video transfer learning

Reference 33

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raw_fallback, observed 2026-08-12T10:41:52.816342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.270972Z digest=sha256:9ecf69cc0845dae61308311f28a1165c65a07c5a0794fc03230a745e114265e5

Observation 865703a7-d1e1-40e8-b691-fe7869309afa · outbound

This paper cites Temporal-relational cross Transformers for few-shot action recognition.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Temporal-relational cross Transformers for few-shot action recognition

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.804839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.275791Z digest=sha256:5be3f3630fe0854ee7c5167f443465384b7a21c82ef8ce508dfd93dde026f47b

Observation 4a540729-a7ae-4a17-a85f-b20c5f04f8e3 · outbound

This paper cites Self-training for few-shot transfer across extreme task differences.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Self-training for few-shot transfer across extreme task differences

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.793459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.280195Z digest=sha256:46223422122e59ead3f205da3e1b31cd1aa3779a8fea064ad9270227a4a21f43

Observation fb95b448-324a-4593-b961-8c9e050e9c1a · outbound

This paper cites an unresolved cited work.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:41:52.782423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.284157Z digest=sha256:95fc9b45a2c3dd31ac80f65db9c5407f47901680561ee9bff878cabbbe8ff69c

Observation 9ab54372-b61f-4330-a98e-e3e90476c576 · outbound

This paper cites Contrast with reconstruct: Contrastive 3D representation learning guided by generative pretraining.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Contrast with reconstruct: Contrastive 3D representation learning guided by generative pretraining

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.770529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.287776Z digest=sha256:3cdc28cc75ea79701261b25cb6a14ba4b32dc194d0c8a8f6073fc9879530602a

Observation 22d3173b-d3b5-4cfa-b6f3-cac719cd8083 · outbound

This paper cites Learning transferable visual models from natural language supervision.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Learning transferable visual models from natural language supervision

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.759686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.291612Z digest=sha256:0f6b8c956e128afd783be77ee59a04378038489547006c66d09519af2231121d

Observation 9b3fefd7-7ead-4bda-b3af-93387193cda5 · outbound

This paper cites CDFSL-V: Cross-domain few-shot learning for videos.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition CDFSL-V: Cross-domain few-shot learning for videos

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.746975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.295494Z digest=sha256:b7f2e209ce597d242a55335fb2db5dba81033bebfe36838ba5d2df52f75ac66c

Observation 10f37aa2-774b-42d4-9282-604fe3ada1f3 · outbound

This paper cites Com- monsense knowledge prompting for few-shot action recogni- tion in videos.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Com- monsense knowledge prompting for few-shot action recogni- tion in videos

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.735091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.299117Z digest=sha256:62da0927c06dae69c8b0185bd834829d76830a305866a4aedea89c90af82909e

Observation 59ef85c7-0b57-493e-bf58-85677469c35b · outbound

This paper cites Prototypical networks for few-shot learning.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Prototypical networks for few-shot learning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.723643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.302685Z digest=sha256:4a8ed5003d5902aa599170094e3e7576928281500518c38d1389154269e370c7

Observation 1ec7d5d1-c1f5-423a-8b8c-22bc0add1bdc · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T10:41:52.306070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:41:52.306070Z digest=sha256:432d691a46f5d94d2171582dba33b33c9915f13002a8deaa4a0452a19157db3f

Observation 40e86561-981c-49c7-a427-f1d2c2bfc743 · outbound

This paper cites Spatio-temporal relation modeling for few-shot action recognition.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Spatio-temporal relation modeling for few-shot action recognition

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.713218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.309975Z digest=sha256:81a01dafb8180a29044a66a642a7ed3c78543b115c84ade52240d28f028b7c40

Observation 6c2248df-2e0a-4a5e-95b1-99a5e3593dd9 · outbound

This paper cites Video- MAE: Masked autoencoders are data-efficient learners for self-supervised video pre-training.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Video- MAE: Masked autoencoders are data-efficient learners for self-supervised video pre-training

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.703059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.313536Z digest=sha256:ff98e4ed853ddc6b91e36f688406a7a99b8d7f448517e8e5f8b7da73d623d9ec

Observation 908ce6f9-9e8a-4cfd-8528-ba76ca15a342 · outbound

This paper cites VideoMAE V2: Scaling video masked autoencoders with dual masking.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition VideoMAE V2: Scaling video masked autoencoders with dual masking

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.693321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.317129Z digest=sha256:8b7edfa470b6733f705d340490c24a4cfeb82e921fb5b8e3461a9242a151a2d3

Observation 7b9ed767-b234-4117-bb3b-a2e01ebac9b9 · outbound

This paper cites Hybrid relation guided set matching for few-shot action recog- nition.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Hybrid relation guided set matching for few-shot action recog- nition

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.681635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.320837Z digest=sha256:3f8ef3193b4ad176149740bee15a1227d67bba0bbf4104dfed23f8429307beb1

Observation bd44164b-bdf5-49e6-8748-15ced870c131 · outbound

This paper cites Few-shot learning meets transformer: Unified query-support transform- ers for few-shot classification.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Few-shot learning meets transformer: Unified query-support transform- ers for few-shot classification

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.670312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.325131Z digest=sha256:7ec61926cdcd82ee5db593160f784421f04bd747c6915e04d825b5e435152b6c

Observation 0465652b-dbb1-435e-a39e-2e85575855ba · outbound

This paper cites Task- aware dual-representation network for few-shot action recog- 10 nition.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Task- aware dual-representation network for few-shot action recog- 10 nition

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.658182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.329634Z digest=sha256:aefe7879b026a40cb6f5ae1ab94c9434cf8fb25ccd28c2a4784b557f2f33079b

Observation f79071a4-47e0-4529-86c2-65c54117eaa6 · outbound

This paper cites MoLo: Motion- augmented long-short contrastive learning for few-shot action recognition.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition MoLo: Motion- augmented long-short contrastive learning for few-shot action recognition

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.646218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.333073Z digest=sha256:3eada82a29fdb1877623606f93f99bf78bbbef0dc8e53a93cfbeb919ef74868f

Observation 0be148b3-5373-45e6-af72-6443dc9f0cad · outbound

This paper cites Cross-domain few-shot ac- tion recognition with unlabeled videos.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Cross-domain few-shot ac- tion recognition with unlabeled videos

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.635494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.336466Z digest=sha256:f4f5a12f35824754d8b70639c9a639e51d45d4a9e2fcc5e0ed29145328b4a114

Observation b688cc8b-db2e-44e1-bd87-887df2dce224 · outbound

This paper cites Few-shot Action Recognition with Captioning Foundation Models.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Few-shot Action Recognition with Captioning Foundation Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T10:41:52.340037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:41:52.340037Z digest=sha256:3cc7d245c5352e83beef97a6914180c2daced567abff06c79e632e0f9f28a7bb

Observation 6ebbef3a-9ca9-4090-a545-3d4c6f672aa4 · outbound

This paper cites Few-shot action recognition via multi-view represen- tation learning.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Few-shot action recognition via multi-view represen- tation learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.624897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.344131Z digest=sha256:14fdfd78a4e2198977f498799d1156b227dc0eea14e85ffa8255910232fbbf5c

Observation a918c23d-77a4-46eb-94ab-dcdf821fd69d · outbound

This paper cites CLIP-guided prototype modulating for few-shot action recognition.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition CLIP-guided prototype modulating for few-shot action recognition

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.613809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.348334Z digest=sha256:26647e25f6e8644f31197e0fb89b9c0525d5c5e7cdf5f3a948175d02c7e87f56

Observation cab6c30c-7327-4ee4-8dce-62aa30aa84cc · outbound

This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-12T10:41:52.352174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:41:52.352174Z digest=sha256:bc4e4b446f2cc3c985b1ad1e519b0a2a25681166d0b3d70266312e0854191c7d

Observation 39578c4f-fd3a-4487-a8d9-9e133d7f4de2 · outbound

This paper cites Active exploration of multimodal complemen- tarity for few-shot action recognition.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Active exploration of multimodal complemen- tarity for few-shot action recognition

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.603400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.356195Z digest=sha256:fa2a61ab0d6e24b1d126d69e1a3919cfe22dae1e70046a8be0b3310e4289a4b2

Observation c894b60d-2e03-4e10-b39f-da371ada7f74 · outbound

This paper cites Boosting few-shot action recognition with graph- guided hybrid matching.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Boosting few-shot action recognition with graph- guided hybrid matching

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.592275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.359653Z digest=sha256:647b1a7ce040bdd8adc0c311c056f2f7dc60b72f3b66d0af801a4c3195a187d8

Observation 7e6834b3-316a-4290-8d37-1e4d87debc7d · outbound

This paper cites Multiview Trans- formers for video recognition.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Multiview Trans- formers for video recognition

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.581567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.363821Z digest=sha256:00bbc38622c0418c6631849b6df22f524277de0f86a4b124840dc26f21664512

Observation b889b480-70d6-40b7-9c10-b04671ba000d · outbound

This paper cites Learning implicit temporal alignment for few-shot video classification.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Learning implicit temporal alignment for few-shot video classification

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.569961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.367225Z digest=sha256:bb184545f8b57d54e52ea69c405b43c426f3e3a97fb2c6711846de04d97bda4c

Observation 59395302-5f91-4b02-8161-1e4d9600c342 · outbound

This paper cites Image BERT pre-training with online tokenizer.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Image BERT pre-training with online tokenizer

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.557327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.371140Z digest=sha256:b044529fc293de501f92bc8aed743b14df24025c58e9ee3532f16f62e9fca327

Observation 73a6b65a-7348-441c-a13c-20194bd9e17b · outbound

This paper cites Compound memory networks for few-shot video classification.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Compound memory networks for few-shot video classification

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.545396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.374871Z digest=sha256:bbe6d8e7c6fc08120f44d445f2ff32a4b0d7dea669df6061cc8f31867d78fac0

Observation 949880d9-3a01-472b-8d48-aeeaf5cb44f0 · outbound

This paper cites an unresolved cited work.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:41:52.523391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.381838Z digest=sha256:0bf3d27edf301d59fc2db14c06d63e5a1abee194ad9c9f7eb03245cdb0f6fe1e

Observation add09149-12fa-4f1b-895b-24d0e2100efb · outbound

This paper cites Playing cards.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Playing cards

Reference 63

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T10:41:52.511518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.385364Z digest=sha256:a1f73c335c1a86f25af47e75f6b654e2eb3a7c35eca762561dff1cea291c31c3

Observation b9e195e2-27a5-4b5b-9d0e-d30491f66f94 · outbound

This paper cites Hammer phone.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Hammer phone

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:41:52.499412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.389174Z digest=sha256:0a7e51eed306eda8ece0c9f0d13a98d4dc5599d078da77b130ee29285e5faa41

Observation 462c50b1-9f60-4431-9c27-40e87be39ad9 · outbound

This paper cites an unresolved cited work.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Unresolved cited work

Reference 2018

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:41:52.534588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:41:52.378555Z digest=sha256:0ebc3815af3fd3057f0dc397647b8d6c72468d6b92ecef1c7b5123b549eb370f

Pith citing papers

Observation 9c3c84c2-cb27-4f7a-b8b3-86a739b22ded · inbound

Uni-Hand: Universal Hand Motion Forecasting in Egocentric Views cites this paper.

Uni-Hand: Universal Hand Motion Forecasting in Egocentric Views TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:32:10.999064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-17T22:31:13.391859Z digest=sha256:2d4d369a6856bf09dca87f079ecf03d0b5d0417ff20823ca5c0448624fc90157