Time-Scaling State-Space Models for Dense Video Captioning | Paper Citation Record

Observation 3ef1adcf-14c5-4b03-a712-e911b72d70ff · outbound

This paper cites Flamingo: a visual language model for few-shot learning,.

Time-Scaling State-Space Models for Dense Video Captioning Flamingo: a visual language model for few-shot learning,

Reference 1

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Observation e15d9f35-d9c6-4729-b85c-6ad279a9fa2b · outbound

This paper cites Vivit: A video vision transformer.

Time-Scaling State-Space Models for Dense Video Captioning Vivit: A video vision transformer

Reference 2

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This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with human judgments.

Time-Scaling State-Space Models for Dense Video Captioning Meteor: An automatic metric for mt evaluation with improved correlation with human judgments

Reference 3

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Observation 79b155be-b617-4707-b39a-7e7b2f728240 · outbound

This paper cites Is space-time attention all you need for video understanding? 2021.

Time-Scaling State-Space Models for Dense Video Captioning Is space-time attention all you need for video understanding? 2021

Reference 4

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Observation d67e6e22-0bf9-4486-9277-49357766d9a5 · outbound

This paper cites Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling.

Time-Scaling State-Space Models for Dense Video Captioning Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling

Reference 5

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Observation b0e15e12-3a49-4a32-889a-51c7eb382f47 · outbound

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

Time-Scaling State-Space Models for Dense Video Captioning Quo vadis, action recognition? a new model and the kinetics dataset

Reference 6

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Observation 546ba720-7323-449a-8a91-93e2b9098c1d · outbound

This paper cites Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding.

Time-Scaling State-Space Models for Dense Video Captioning Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Reference 7

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Observation 2a4c9b6d-09f8-4b7d-8e4c-6f4da2e4900b · outbound

This paper cites PaLI-X: On Scaling up a Multilingual Vision and Language Model.

Time-Scaling State-Space Models for Dense Video Captioning PaLI-X: On Scaling up a Multilingual Vision and Language Model

Reference 8

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Observation 8ee1896d-7be7-494f-9607-160ef8634304 · outbound

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

Time-Scaling State-Space Models for Dense Video Captioning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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Observation 22a43343-5c80-46be-b353-e8b2756ea021 · outbound

This paper cites Multiscale Vision Transformers.

Time-Scaling State-Space Models for Dense Video Captioning Multiscale Vision Transformers

Reference 10

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Observation 763d8db4-5f01-442a-b3cb-73fac83ac806 · outbound

This paper cites Soda: Story oriented dense video captioning evaluation framework.

Time-Scaling State-Space Models for Dense Video Captioning Soda: Story oriented dense video captioning evaluation framework

Reference 11

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Observation 52a83bc8-c1c2-4693-87f4-c5e46e46ec73 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Time-Scaling State-Space Models for Dense Video Captioning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 12

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Observation a4b37c31-0b7d-450d-b761-0c4bacff8110 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with the structured learnable linear state space layer.

Time-Scaling State-Space Models for Dense Video Captioning Combining recurrent, convolutional, and continuous-time models with the structured learnable linear state space layer

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:06.142564Z

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Observation 1d47f72a-7a7a-471c-95d9-65e23fb11b7a · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

Time-Scaling State-Space Models for Dense Video Captioning Efficiently modeling long sequences with structured state spaces

Reference 14

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Observation 02eb2a0b-fa0e-4a97-89b8-d43a88dba24e · outbound

This paper cites On the parameterization and initialization of diagonal state space models.

Time-Scaling State-Space Models for Dense Video Captioning On the parameterization and initialization of diagonal state space models

Reference 15

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Observation a96d9ce7-a49e-49c9-a47c-9a59b83bc134 · outbound

This paper cites VideoLLM: Modeling Video Sequence with Large Language Models.

Time-Scaling State-Space Models for Dense Video Captioning VideoLLM: Modeling Video Sequence with Large Language Models

Reference 16

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This paper cites Towards Evaluating the Robustness of Visual State Space Models.

Time-Scaling State-Space Models for Dense Video Captioning Towards Evaluating the Robustness of Visual State Space Models

Reference 17

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Observation f39f5100-1a88-40ec-81ab-444754944496 · outbound

This paper cites Ac- tivitynet: A large-scale video benchmark for human activity understanding.

Time-Scaling State-Space Models for Dense Video Captioning Ac- tivitynet: A large-scale video benchmark for human activity understanding

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:06.091962Z

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Observation b9de3557-d17c-4b82-b232-4570f09191b1 · outbound

This paper cites Multimodal pretraining for dense video captioning.

Time-Scaling State-Space Models for Dense Video Captioning Multimodal pretraining for dense video captioning

Reference 19

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Observation c800fdae-84fe-43ce-9c00-b1591e5e755a · outbound

This paper cites A better use of audio-visual cues: Dense video cap- tioning with bi-modal transformer.

Time-Scaling State-Space Models for Dense Video Captioning A better use of audio-visual cues: Dense video cap- tioning with bi-modal transformer

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:06.055720Z

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Observation 3d29b200-f18b-47e7-aaf1-1ebca35ebf60 · outbound

This paper cites Long movie clip classification with state- space video model.

Time-Scaling State-Space Models for Dense Video Captioning Long movie clip classification with state- space video model

Reference 21

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Observation b839122e-ee85-4824-b877-f48905c8d382 · outbound

This paper cites Long movie clip classification with state-space video model.

Time-Scaling State-Space Models for Dense Video Captioning Long movie clip classification with state-space video model

Reference 22

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Observation 21afb9be-2d44-4e7e-a02d-34f394414243 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Time-Scaling State-Space Models for Dense Video Captioning Simplified State Space Layers for Sequence Modeling

Reference 23

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This paper cites MaMMUT: A simple architecture for joint learning for multimodal tasks.

Time-Scaling State-Space Models for Dense Video Captioning MaMMUT: A simple architecture for joint learning for multimodal tasks

Reference 24

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Observation 8b02b6aa-54c2-4cd9-9c75-b4f3705b80aa · outbound

This paper cites VideoMamba: State Space Model for Efficient Video Understanding.

Time-Scaling State-Space Models for Dense Video Captioning VideoMamba: State Space Model for Efficient Video Understanding

Reference 25

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Observation 8ab8b26f-5d87-41fa-b6bf-254942890bf9 · outbound

This paper cites Video swin transformer.

Time-Scaling State-Space Models for Dense Video Captioning Video swin transformer

Reference 26

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This paper cites A convnet for the 2020s.

Time-Scaling State-Space Models for Dense Video Captioning A convnet for the 2020s

Reference 27

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This paper cites Downs, Preey Shah, Tri Dao, Stephen A.

Time-Scaling State-Space Models for Dense Video Captioning Downs, Preey Shah, Tri Dao, Stephen A

Reference 28

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Observation 27d19b19-9f62-493a-8a90-c85f26493ea3 · outbound

This paper cites SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces.

Time-Scaling State-Space Models for Dense Video Captioning SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces

Reference 29

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This paper cites VideoMamba: Spatio-Temporal Selective State Space Model.

Time-Scaling State-Space Models for Dense Video Captioning VideoMamba: Spatio-Temporal Selective State Space Model

Reference 30

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This paper cites Rethinking video vits: Sparse video tubes for joint image and video learning.

Time-Scaling State-Space Models for Dense Video Captioning Rethinking video vits: Sparse video tubes for joint image and video learning

Reference 31

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This paper cites Dynamic pretraining of vision-language models.

Time-Scaling State-Space Models for Dense Video Captioning Dynamic pretraining of vision-language models

Reference 32

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This paper cites Mirasol3B: A multimodal autoregressive model for time-aligned and con- textual modalities.

Time-Scaling State-Space Models for Dense Video Captioning Mirasol3B: A multimodal autoregressive model for time-aligned and con- textual modalities

Reference 33

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Observation 05b6e8c7-1d46-4af4-81c0-2c282d6d95d4 · outbound

This paper cites Timechat: A time-sensitive multimodal large language model for long video understanding.

Time-Scaling State-Space Models for Dense Video Captioning Timechat: A time-sensitive multimodal large language model for long video understanding

Reference 34

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Observation b33834a9-be83-4272-b023-ffe06f022bb8 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Time-Scaling State-Space Models for Dense Video Captioning Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 35

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Observation fdcfeb93-88ae-4938-86a0-319a6302e0b0 · outbound

This paper cites Cider: Consensus- based image description evaluation.

Time-Scaling State-Space Models for Dense Video Captioning Cider: Consensus- based image description evaluation

Reference 36

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Observation dfae2cd1-8124-40fb-8e84-203c0db2fe08 · outbound

This paper cites GIT: A Generative Image-to-text Transformer for Vision and Language.

Time-Scaling State-Space Models for Dense Video Captioning GIT: A Generative Image-to-text Transformer for Vision and Language

Reference 37

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Observation 89ad7e88-ac55-45b2-b712-7ea2327f3ac8 · outbound

This paper cites Bidirectional attentive fusion with context gating for dense video captioning.

Time-Scaling State-Space Models for Dense Video Captioning Bidirectional attentive fusion with context gating for dense video captioning

Reference 38

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Observation b004eba0-e72e-4671-a7d2-ea3858afc324 · outbound

This paper cites Selective structured state-spaces for long-form video understanding.

Time-Scaling State-Space Models for Dense Video Captioning Selective structured state-spaces for long-form video understanding

Reference 39

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Observation 79fc654f-ca8e-4874-b01e-f665e61a48b2 · outbound

This paper cites Omnivid: A generative framework for universal video understanding.

Time-Scaling State-Space Models for Dense Video Captioning Omnivid: A generative framework for universal video understanding

Reference 40

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Observation 0c3f3c76-adad-4ea5-945d-c3afc4e5e9d4 · outbound

This paper cites End- to-end dense video captioning with parallel decoding.

Time-Scaling State-Space Models for Dense Video Captioning End- to-end dense video captioning with parallel decoding

Reference 41

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Observation 0742e15a-10e6-476a-8cf5-6b6c38583dd5 · outbound

This paper cites The Illusion of State in State-Space Models.

Time-Scaling State-Space Models for Dense Video Captioning The Illusion of State in State-Space Models

Reference 42

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Observation ab7d1216-38f4-44f8-bfac-296252236029 · outbound

This paper cites Dibs: Enhancing dense video captioning with unlabeled videos via pseudo boundary enrichment and online refinement.

Time-Scaling State-Space Models for Dense Video Captioning Dibs: Enhancing dense video captioning with unlabeled videos via pseudo boundary enrichment and online refinement

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:05.791726Z

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Observation 66b8ffce-91e3-4b18-9aec-5375f4ffe0c6 · outbound

This paper cites Vid2seq: Large-scale pretraining of a visual language model for dense video captioning.

Time-Scaling State-Space Models for Dense Video Captioning Vid2seq: Large-scale pretraining of a visual language model for dense video captioning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:05.775654Z

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Observation 095ad276-acb1-4764-8beb-0644dc2bde8a · outbound

This paper cites Hierarchical video-moment retrieval and step-captioning.

Time-Scaling State-Space Models for Dense Video Captioning Hierarchical video-moment retrieval and step-captioning

Reference 45

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Observation e3b22238-bb17-499a-a7e7-883e5526a1ad · outbound

This paper cites Merlot: Multimodal neural script knowledge models.

Time-Scaling State-Space Models for Dense Video Captioning Merlot: Multimodal neural script knowledge models

Reference 46

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Observation cce30a80-326c-41e7-8b40-7bd4addec768 · outbound

This paper cites Unifying event detection and captioning as sequence generation via pre-training.

Time-Scaling State-Space Models for Dense Video Captioning Unifying event detection and captioning as sequence generation via pre-training

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:05.724265Z

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Observation 010fbf44-0d72-4c54-81d8-e80060f91912 · outbound

This paper cites Towards automatic learning of pro- cedures from web instructional videos.

Time-Scaling State-Space Models for Dense Video Captioning Towards automatic learning of pro- cedures from web instructional videos

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:05.705813Z

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Observation 34ea5893-63ca-41e8-be67-a2fdbafbdcd3 · outbound

This paper cites End- to-end dense video captioning with masked transformer.

Time-Scaling State-Space Models for Dense Video Captioning End- to-end dense video captioning with masked transformer

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:05.690821Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fcecb641-1158-4264-bf34-bea5569e83bb · outbound

This paper cites Streaming dense video captioning.

Time-Scaling State-Space Models for Dense Video Captioning Streaming dense video captioning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:05.673618Z

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Observation 7dee1653-5de3-427f-884a-53f77c052c4e · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Time-Scaling State-Space Models for Dense Video Captioning Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 51

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Observation ebbb1fd9-7e14-4c77-a4ae-e0ad3e36a2bd · outbound

This paper cites Thapliyal, William Yang Wang, and Radu Soricut.

Time-Scaling State-Space Models for Dense Video Captioning Thapliyal, William Yang Wang, and Radu Soricut

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:05.655316Z

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Observation f97a4890-fbba-44b6-b68c-42ff01c071f5 · outbound

This paper cites State space models for event cameras.

Time-Scaling State-Space Models for Dense Video Captioning State space models for event cameras

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:05.637715Z

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Observation 97c46b42-392a-4835-a400-0d62648a5eae · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Time-Scaling State-Space Models for Dense Video Captioning Flamingo: a Visual Language Model for Few-Shot Learning

Reference 2022

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