Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:44:39.728141Z
Paper Citation Record · LEDGER
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization
As of 23 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2501.00882.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
63 of 63 outbound references displayed
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- verified fuzzy56
- unresolved7
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 747b9975-c9fd-483e-bf5a-f79cfb6f0103 · outbound
This paper cites Video summarization with long short-term memory,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Video summarization with long short-term memory,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:41.120619Z
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.
Observation 7f0526d9-3f74-4117-a8c6-a24bc5a805b3 · outbound
This paper cites Unsupervised video summarization via attention-driven adversarial learning,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Unsupervised video summarization via attention-driven adversarial learning,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:41.103976Z
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.
Observation 27e73672-355f-4c27-a69a-c2179a3e4f30 · outbound
This paper cites Hierarchical recurrent neural network for video summarization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Hierarchical recurrent neural network for video summarization,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:41.028747Z
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.
Observation b012d76b-7c4a-44b3-b655-d0f337a7f228 · outbound
This paper cites HSA-RNN: Hierarchical structure-adaptive rnn for video summarization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization HSA-RNN: Hierarchical structure-adaptive rnn for video summarization,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.962284Z
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.
Observation bc83ac57-b124-41bd-9777-a86fcb5b1c47 · outbound
This paper cites A general framework for edited video and raw video summarization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization A general framework for edited video and raw video summarization,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.945067Z
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.
Observation 5996d8f1-66a1-457a-9ea8-c8c9e6747377 · outbound
This paper cites Reconstructive sequence-graph network for video summarization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Reconstructive sequence-graph network for video summarization,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.895548Z
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.
Observation be4252d8-19dd-4fcd-a8b8-dd8c9908b56d · outbound
This paper cites Property-Constrained dual learning for video summarization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Property-Constrained dual learning for video summarization,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.830241Z
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.
Observation 57391437-9b31-4b48-a9fc-bf53a8895287 · outbound
This paper cites A comprehensive study of automatic video summarization techniques,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization A comprehensive study of automatic video summarization techniques,
Reference 8
- Resolution
- 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.
Observation 1be8b49a-06f0-4378-89ab-2ad9b29bbe5c · outbound
This paper cites Video joint modelling based on hierarchical transformer for co-summarization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Video joint modelling based on hierarchical transformer for co-summarization,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.791787Z
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.
Observation 0a41e382-dbb8-4b29-9e92-02e60833c373 · outbound
This paper cites Topic-aware video summarization using multimodal transformer,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Topic-aware video summarization using multimodal transformer,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.773597Z
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.
Observation 714569ba-944d-4eaa-a3e7-da3e5c72a5f7 · outbound
This paper cites Hierarchical multimodal transformer to summarize videos,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Hierarchical multimodal transformer to summarize videos,
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 655444c0-39d4-482f-8ada-2390df972c9f · outbound
This paper cites A video summary generation model based on hybrid attention using multimodal features,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization A video summary generation model based on hybrid attention using multimodal features,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.668147Z
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.
Observation 6028feee-58c8-4719-920c-99f1554752c6 · outbound
This paper cites DGL: Dynamic global-local prompt tuning for text-video retrieval,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization DGL: Dynamic global-local prompt tuning for text-video retrieval,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.606540Z
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.
Observation 46e3b9f6-f4f8-4950-b306-d7bcd35ad8dc · outbound
This paper cites Video summarization using fully convolutional sequence networks,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Video summarization using fully convolutional sequence networks,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.590224Z
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.
Observation 4b4393bc-dee9-4625-ad70-46db8fdc2973 · outbound
This paper cites Exploring global diverse attention via pairwise temporal relation for video summariza- tion,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Exploring global diverse attention via pairwise temporal relation for video summariza- tion,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.573097Z
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.
Observation 5cb69b58-ceee-44cd-9c4e-b80a3eefe4bb · outbound
This paper cites Unsupervised video summa- rization with adversarial LSTM networks,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Unsupervised video summa- rization with adversarial LSTM networks,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.556815Z
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.
Observation 5d176a22-de1f-4d6d-a957-582fdb8e5897 · outbound
This paper cites TTH-RNN: Tensor-train hierarchical rrecurrent nneural nnetwork for video ssummarization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization TTH-RNN: Tensor-train hierarchical rrecurrent nneural nnetwork for video ssummarization,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.540757Z
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.
Observation 4bf1e7ad-88be-4715-8f4c-971ec6af45d5 · outbound
This paper cites Video summarization with attention-based encoder–decoder networks,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Video summarization with attention-based encoder–decoder networks,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.523495Z
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.
Observation 66cf8454-4ae0-48d0-8b6d-0dc484353d09 · outbound
This paper cites Summarizing videos with attention,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Summarizing videos with attention,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.508246Z
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.
Observation cf1eb329-ebdb-4afb-84fe-95fa0a24615c · outbound
This paper cites Video summarization with LSTM and deep attention models,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Video summarization with LSTM and deep attention models,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.492549Z
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.
Observation a8ed4bd1-d7d1-4ef0-8fe3-f22b6fd946ee · outbound
This paper cites Learning hierarchical self-attention for video summarization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Learning hierarchical self-attention for video summarization,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.476848Z
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.
Observation 1b1916f4-d853-41fe-92e1-7581a9feac59 · outbound
This paper cites Video summarization with spatiotemporal vision transformer,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Video summarization with spatiotemporal vision transformer,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.461688Z
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.
Observation 68c3e74a-9306-456e-9282-6724f5ab51a5 · outbound
This paper cites Attention is all you need,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Attention is all you need,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.446124Z
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.
Observation ac72dddc-8489-4760-8601-3d45894b2687 · outbound
This paper cites Novel multi-domain attention for abstractive summarisation,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Novel multi-domain attention for abstractive summarisation,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.429605Z
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.
Observation e9901c26-1898-490c-adae-4b6f1637e352 · outbound
This paper cites Generating long sequences with sparse transformers,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Generating long sequences with sparse transformers,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.413379Z
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.
Observation e0a581a5-2b05-46ee-b19d-1fc7c3ced6c5 · outbound
This paper cites Big bird: transformers for longer sequences,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Big bird: transformers for longer sequences,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.397083Z
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.
Observation 8811676d-9715-4ca6-8ed3-f0938c30f016 · outbound
This paper cites Longformer: The Long-Document Transformer.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Longformer: The Long-Document Transformer
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a608c9f-ebf3-4476-9c6a-8a9f639fda45 · outbound
This paper cites RKformer: Runge-kutta transformer with random-connection attention for infrared small target detection,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization RKformer: Runge-kutta transformer with random-connection attention for infrared small target detection,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.381849Z
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.
Observation 46715b39-b1eb-4326-8dd1-818b17662393 · outbound
This paper cites ESSAformer: Efficient trans- former for hyperspectral image super-resolution,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization ESSAformer: Efficient trans- former for hyperspectral image super-resolution,
Reference 29
- Resolution
- 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.
Observation d706d5fc-15a3-4029-b9c2-0dd693ce8c16 · outbound
This paper cites IRSAM: Advancing segment anything model for infrared small target detection,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization IRSAM: Advancing segment anything model for infrared small target detection,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.349197Z
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.
Observation 49f63b78-bc46-45c6-b870-9ef9c27fb84c · outbound
This paper cites Diverse sequential subset selection for supervised video summarization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Diverse sequential subset selection for supervised video summarization,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.333148Z
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.
Observation b7ef2725-1894-4905-8d05-651b9d183b01 · outbound
This paper cites Creating summaries from user videos,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Creating summaries from user videos,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.316773Z
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.
Observation 56a1f23f-0001-436d-9006-a09fbd1d1c1c · outbound
This paper cites TVSum: Summarizing web videos using titles,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization TVSum: Summarizing web videos using titles,
Reference 33
- Resolution
- 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.
Observation 870a029b-22a6-4726-9426-628fa619e326 · outbound
This paper cites Video summarization via actionness ranking,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Video summarization via actionness ranking,
Reference 34
- Resolution
- 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.
Observation 552cabd7-540c-4cd5-b346-af76bafb59bf · outbound
This paper cites Online video summarization: Predicting future to better summarize present,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Online video summarization: Predicting future to better summarize present,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.265836Z
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.
Observation 654f1a1d-7abb-42c6-9f26-b514de2c8cb1 · outbound
This paper cites Spatiotemporal modeling for video summarization using convolutional recurrent neural network,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Spatiotemporal modeling for video summarization using convolutional recurrent neural network,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.250401Z
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.
Observation 6bb4a4e8-9cc1-4528-b87d-6c4231e455a9 · outbound
This paper cites Efficient transformers: A survey,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Efficient transformers: A survey,
Reference 37
- Resolution
- 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.
Observation 7e22572a-35db-485c-8370-e9915a8cbc2e · outbound
This paper cites Sample Efficient Text Summarization Using a Single Pre-Trained Transformer.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Sample Efficient Text Summarization Using a Single Pre-Trained Transformer
Reference 38
- Resolution
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Source-reported events for the cited work
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Observation 5cc4e1c8-a2eb-46ed-ba8f-4ee03e59f818 · outbound
This paper cites Text summarization with pretrained encoders,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Text summarization with pretrained encoders,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.214181Z
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.
Observation 034b1e3a-a703-41bc-b756-a405c82503ab · outbound
This paper cites Neural machine translation by jointly learning to align and translate,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Neural machine translation by jointly learning to align and translate,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.195073Z
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.
Observation 2f5c638b-931a-4feb-911a-6890a2005d06 · outbound
This paper cites Effective approaches to attention-based neural machine translation,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Effective approaches to attention-based neural machine translation,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.177291Z
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.
Observation 66315b34-9460-4f3a-bc39-eae382bd8ffc · outbound
This paper cites Get to the point: Summarization with pointer-generator networks,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Get to the point: Summarization with pointer-generator networks,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.161411Z
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.
Observation 186a233a-2a1d-4432-970a-59217a3c701d · outbound
This paper cites Incorporating copying mechanism in sequence-to-sequence learning,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Incorporating copying mechanism in sequence-to-sequence learning,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.145998Z
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.
Observation bc5648ae-a658-40e5-984b-7d77fb40eb7a · outbound
This paper cites Deep attentive and semantic preserving video summariza- tion,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Deep attentive and semantic preserving video summariza- tion,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.131027Z
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.
Observation 21ddb4dc-d4aa-4f1d-b6ac-d625486f08d1 · outbound
This paper cites Deep attentive video summarization with distribution consistency learning,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Deep attentive video summarization with distribution consistency learning,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.114794Z
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.
Observation 38881361-1da1-4aa7-ae96-b4e8922cb8c1 · outbound
This paper cites Query twice: Dual mixture attention meta learning for video summarization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Query twice: Dual mixture attention meta learning for video summarization,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.097319Z
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.
Observation 5cbe58a6-d661-412a-9cff-105b324c7073 · outbound
This paper cites Capturing spatiotemporal dependencies with competitive set attention for video summarization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Capturing spatiotemporal dependencies with competitive set attention for video summarization,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.081964Z
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.
Observation 83300da7-9863-4980-8fee-6344c81d27a4 · outbound
This paper cites C2F: An effective coarse-to-fine network for video summarization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization C2F: An effective coarse-to-fine network for video summarization,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.064241Z
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.
Observation c695f0ff-6d2b-4f23-b8d0-7548b3fea4c8 · outbound
This paper cites Video summarization using deep neural networks: A survey,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Video summarization using deep neural networks: A survey,
Reference 49
- Resolution
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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.
Observation 67205c2d-3396-4a29-891d-d704daae81ed · outbound
This paper cites Attention mechanisms in computer vision: A survey,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Attention mechanisms in computer vision: A survey,
Reference 50
- Resolution
- 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.
Observation 2e840edb-43df-4289-9066-cbcecf87ae64 · outbound
This paper cites A survey of transformers,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization A survey of transformers,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:40.009019Z
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.
Observation 65147421-bd25-4682-8db4-98bc4afac71a · outbound
This paper cites Going deeper with convolutions,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Going deeper with convolutions,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:39.992047Z
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.
Observation a93313f3-6a67-4aea-b176-3151d724e594 · outbound
This paper cites Deep residual learning for image recognition,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Deep residual learning for image recognition,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:39.974470Z
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.
Observation ba941f54-69fc-4048-879a-5c9a8a8c9af2 · outbound
This paper cites Layer Normalization.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Layer Normalization
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70708bf5-93b4-4406-80b2-325e8709beda · outbound
This paper cites Category-Specific video summarization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Category-Specific video summarization,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:39.954922Z
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.
Observation 13c62ca8-58db-4fa2-87e3-3ec05f9b4d39 · outbound
This paper cites VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:39.938651Z
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.
Observation 7078c61c-1778-4edf-b236-2ce7f5617360 · outbound
This paper cites Fast shot boundary detection based on separable moments and support vector machine,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Fast shot boundary detection based on separable moments and support vector machine,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:39.921291Z
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.
Observation 0b5efd05-4da0-4854-a3df-5dd76fabaf39 · outbound
This paper cites Multi-reference evaluation of dynamic video summaries using granule-aware f-measure,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Multi-reference evaluation of dynamic video summaries using granule-aware f-measure,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:39.899175Z
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.
Observation ba6c5cc1-45af-4fb5-bedf-dc99a82635a8 · outbound
This paper cites Automatic differentiation in pytorch,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Automatic differentiation in pytorch,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:39.883048Z
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.
Observation a45f8178-beb0-4be6-bdde-8d33fc7ff7ec · outbound
This paper cites Adam: A method for stochastic optimization,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Adam: A method for stochastic optimization,
Reference 60
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d19a4e1-a35c-45f4-9a29-ec0eb856542f · outbound
This paper cites ImageNet large scale visual recognition chal- lenge,.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization ImageNet large scale visual recognition chal- lenge,
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:44:39.855214Z
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.
Observation e6928557-fd6c-4f10-bf64-68f5f791bcf2 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Adam: A Method for Stochastic Optimization
Reference 2014
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:44:39.722695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 759013b0-ddcc-4eb7-957b-da717c9eb2d3 · outbound
This paper cites Generating Long Sequences with Sparse Transformers.
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization Generating Long Sequences with Sparse Transformers
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:44:39.530687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.