Effectively obtaining acoustic, visual and textual data from videos | Paper Citation Record

Observation ec8d8242-3b6f-423d-923a-7ebb9df55834 · outbound

This paper cites MusicLM: Generating Music From Text.

Effectively obtaining acoustic, visual and textual data from videos MusicLM: Generating Music From Text

Reference 1

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Observation 3cd07964-a3bb-4358-b095-78de3fdb81ea · outbound

This paper cites Don’t Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering.

Effectively obtaining acoustic, visual and textual data from videos Don’t Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

Reference 2

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Observation 99c6f090-968f-400b-a719-1ec22b725617 · outbound

This paper cites Mistral Models, 2024.

Effectively obtaining acoustic, visual and textual data from videos Mistral Models, 2024

Reference 3

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Observation 372ebeb3-17cf-44e7-a93e-0f4d91613e8b · outbound

This paper cites Transcripter- Generation of the transcript from audio to text using Deep Learning.International Journal of Computer Sciences and Engineering, 7(1):770–773, 2019.

Effectively obtaining acoustic, visual and textual data from videos Transcripter- Generation of the transcript from audio to text using Deep Learning.International Journal of Computer Sciences and Engineering, 7(1):770–773, 2019

Reference 4

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Observation fc2a9b67-4ffb-489d-8878-eb742ee8314b · outbound

This paper cites The Claude 3 Model Family: Opus, Sonnet, Haiku, 2024.

Effectively obtaining acoustic, visual and textual data from videos The Claude 3 Model Family: Opus, Sonnet, Haiku, 2024

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Observation e70fe5ab-2960-40f9-85db-628bf2a1f1c6 · outbound

This paper cites SoundNet: Learning Sound Repre- sentations from Unlabeled Video.

Effectively obtaining acoustic, visual and textual data from videos SoundNet: Learning Sound Repre- sentations from Unlabeled Video

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Observation defe6cc8-1aa3-440e-b120-7fc94b5f0988 · outbound

This paper cites Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph.

Effectively obtaining acoustic, visual and textual data from videos Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

Reference 7

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Observation 316c0bbb-e9d0-480e-b692-35af49aa94d9 · outbound

This paper cites AudioSetCaps: An Enriched Audio-Caption Dataset using Auto- mated Generation Pipeline with Large Audio and Language Models.

Effectively obtaining acoustic, visual and textual data from videos AudioSetCaps: An Enriched Audio-Caption Dataset using Auto- mated Generation Pipeline with Large Audio and Language Models

Reference 8

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This paper cites Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval.

Effectively obtaining acoustic, visual and textual data from videos Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval

Reference 9

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Observation 6d290b8a-a6a8-458e-90a5-6fc08362aa87 · outbound

This paper cites Are Mod- els Biased on Text without Gender-related Language? InProceedings of the 12th International Conference on Learning Representations, 2024.

Effectively obtaining acoustic, visual and textual data from videos Are Mod- els Biased on Text without Gender-related Language? InProceedings of the 12th International Conference on Learning Representations, 2024

Reference 10

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Observation 03119dd8-0b6d-496a-b321-f8fee36243ba · outbound

This paper cites Ballester.

Effectively obtaining acoustic, visual and textual data from videos Ballester

Reference 11

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Observation b28a154a-047f-41e8-bfa6-deb51104220b · outbound

This paper cites Improving Image Generation with Better Captions.

Effectively obtaining acoustic, visual and textual data from videos Improving Image Generation with Better Captions

Reference 12

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Observation 2ec45e4e-f960-4ff1-b3ea-6aada080ed54 · outbound

This paper cites RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model.

Effectively obtaining acoustic, visual and textual data from videos RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model

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Observation 02198a59-9a78-4616-90b4-f1440f833053 · outbound

This paper cites Birhane and V.

Effectively obtaining acoustic, visual and textual data from videos Birhane and V

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

Reference 15

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Observation ad5ee963-7aeb-41d9-9f81-57849769cf6a · outbound

This paper cites Using acoustic indices in ecology: Guidance on study design, analyses and interpretation.Methods in Ecology and Evolution, 14(9):2192–2204, 2023.

Effectively obtaining acoustic, visual and textual data from videos Using acoustic indices in ecology: Guidance on study design, analyses and interpretation.Methods in Ecology and Evolution, 14(9):2192–2204, 2023

Reference 16

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This paper cites Bar- nett, Amy Beeston, Jennifer Darby, Benedict Dell, Nick Gardner, Amandine Gasc, Becky Heath, Nia Howells, Magnus Janson, Maria-Viktoria Kyoseva, Thomas Luy- paert, Oliver C.

Effectively obtaining acoustic, visual and textual data from videos Bar- nett, Amy Beeston, Jennifer Darby, Benedict Dell, Nick Gardner, Amandine Gasc, Becky Heath, Nia Howells, Magnus Janson, Maria-Viktoria Kyoseva, Thomas Luy- paert, Oliver C

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

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Observation c42c01c6-2259-40b2-8bf6-054b689513a7 · outbound

This paper cites Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Con- cepts.

Effectively obtaining acoustic, visual and textual data from videos Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Con- cepts

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Observation a1f20d76-310a-4586-a321-85045de90fa4 · outbound

This paper cites Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset.

Effectively obtaining acoustic, visual and textual data from videos Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset

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Observation f5cc86ea-68c2-4fc8-be17-1c99e942cdf4 · outbound

This paper cites Veo, 2024.

Effectively obtaining acoustic, visual and textual data from videos Veo, 2024

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Observation 6d80e0b5-c3f6-4668-94e8-56131c89436a · outbound

This paper cites Central Limit Theorem in the Functional Approach.IEEE Transactions on Signal Processing, 61(16):4025–4037, 2013.

Effectively obtaining acoustic, visual and textual data from videos Central Limit Theorem in the Functional Approach.IEEE Transactions on Signal Processing, 61(16):4025–4037, 2013

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This paper cites A Survey of On-Device Machine Learning: An Algorithms and Learning Theory Perspective.ACM Transactions on Internet of Things, 2(3), 2021.

Effectively obtaining acoustic, visual and textual data from videos A Survey of On-Device Machine Learning: An Algorithms and Learning Theory Perspective.ACM Transactions on Internet of Things, 2(3), 2021

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Observation 8963eb35-2f12-492e-8765-595ec69aed77 · outbound

This paper cites Jukebox: A Generative Model for Music.

Effectively obtaining acoustic, visual and textual data from videos Jukebox: A Generative Model for Music

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Observation 1767255c-ec5e-4753-80da-4b32e29684a4 · outbound

This paper cites The Llama 3 Herd of Models.

Effectively obtaining acoustic, visual and textual data from videos The Llama 3 Herd of Models

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Observation 31693e76-b8fc-4ca9-a1f6-a460b5f4697e · outbound

This paper cites Image Generation: A Review.Neural Processing Letters, 54(5):4609–4646, 2022.

Effectively obtaining acoustic, visual and textual data from videos Image Generation: A Review.Neural Processing Letters, 54(5):4609–4646, 2022

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Observation ca63f4b9-2338-4a79-9b2f-30cb1031323f · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Effectively obtaining acoustic, visual and textual data from videos Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

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Observation 38f1b52f-fbff-4cd1-958c-05edc33f38c5 · outbound

This paper cites Creativity and Machine Learning: A Survey.

Effectively obtaining acoustic, visual and textual data from videos Creativity and Machine Learning: A Survey

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Observation b89344f3-fc01-4770-b056-cf9382f410a9 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Effectively obtaining acoustic, visual and textual data from videos The Pile: An 800GB Dataset of Diverse Text for Language Modeling

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Observation 2c00d998-a181-45f2-900c-f5f5773eb485 · outbound

This paper cites Listen to Look: Action Recognition by Previewing Audio.

Effectively obtaining acoustic, visual and textual data from videos Listen to Look: Action Recognition by Previewing Audio

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Observation 6b0bc007-5648-4acb-a8c1-f6965de53a81 · outbound

This paper cites Gemmeke, Daniel P.

Effectively obtaining acoustic, visual and textual data from videos Gemmeke, Daniel P

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Observation cc9105c9-c3f9-462e-85db-995cc7d6b868 · outbound

This paper cites ImageBind: One Embedding Space To Bind Them All.

Effectively obtaining acoustic, visual and textual data from videos ImageBind: One Embedding Space To Bind Them All

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

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Observation 324a05e5-c1e6-4f91-a830-2717aba335bf · outbound

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

Effectively obtaining acoustic, visual and textual data from videos Mamba: Linear-Time Sequence Modeling with Selective State Spaces

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This paper cites Temporal Alignment Networks for Long-term Video.

Effectively obtaining acoustic, visual and textual data from videos Temporal Alignment Networks for Long-term Video

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Observation f68d5808-7bb5-4605-a3ca-809bfd1eb156 · outbound

This paper cites Rae, and Laurent Sifre.

Effectively obtaining acoustic, visual and textual data from videos Rae, and Laurent Sifre

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This paper cites Intuitive Multilingual Audio-Visual Speech Recognition with a Single-Trained Model.

Effectively obtaining acoustic, visual and textual data from videos Intuitive Multilingual Audio-Visual Speech Recognition with a Single-Trained Model

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This paper cites Key Frame Selection for Temporal Graph Opti- mization of Skeleton-Based Action Recognition.Applied Sciences, 14(21), 2024.

Effectively obtaining acoustic, visual and textual data from videos Key Frame Selection for Temporal Graph Opti- mization of Skeleton-Based Action Recognition.Applied Sciences, 14(21), 2024

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This paper cites NLIP: Noise-Robust Language-Image Pre-training.

Effectively obtaining acoustic, visual and textual data from videos NLIP: Noise-Robust Language-Image Pre-training

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

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This paper cites LL VIP: A Visible- infrared Paired Dataset for Low-light Vision.

Effectively obtaining acoustic, visual and textual data from videos LL VIP: A Visible- infrared Paired Dataset for Low-light Vision

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This paper cites TimbreCLIP: Connecting Timbre to Text and Images.

Effectively obtaining acoustic, visual and textual data from videos TimbreCLIP: Connecting Timbre to Text and Images

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This paper cites Noise-Aware Learning from Web-Crawled Image-Text Data for Image Captioning.

Effectively obtaining acoustic, visual and textual data from videos Noise-Aware Learning from Web-Crawled Image-Text Data for Image Captioning

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This paper cites MMIS: Multimodal Dataset for Interior Scene Visual Generation and Recognition.

Effectively obtaining acoustic, visual and textual data from videos MMIS: Multimodal Dataset for Interior Scene Visual Generation and Recognition

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

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This paper cites AudioCaps: Generating Captions for Audios in The Wild.

Effectively obtaining acoustic, visual and textual data from videos AudioCaps: Generating Captions for Audios in The Wild

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This paper cites Benchmarking Cognitive Biases in Large Language Models as Evaluators.

Effectively obtaining acoustic, visual and textual data from videos Benchmarking Cognitive Biases in Large Language Models as Evaluators

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Effectively obtaining acoustic, visual and textual data from videos AudioGen: Textually Guided Audio Generation

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Effectively obtaining acoustic, visual and textual data from videos BindDiffusion: One Diffusion Model to Bind Them All, 2024

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Effectively obtaining acoustic, visual and textual data from videos FLUX, 2024

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

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Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

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This paper cites OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation.

Effectively obtaining acoustic, visual and textual data from videos OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation

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This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Effectively obtaining acoustic, visual and textual data from videos BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

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Observation 655e029f-4504-4828-b44b-460328908220 · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

Effectively obtaining acoustic, visual and textual data from videos BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 62

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Observation 02170d03-b9a9-48b0-9946-3de063dc4f0b · outbound

This paper cites Word-Level Explanations for Analyzing Bias in Text-to-Image Models.

Effectively obtaining acoustic, visual and textual data from videos Word-Level Explanations for Analyzing Bias in Text-to-Image Models

Reference 63

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Observation bac5b7e1-71c3-425a-ad31-eb94a85b5459 · outbound

This paper cites Lawrence Zitnick.

Effectively obtaining acoustic, visual and textual data from videos Lawrence Zitnick

Reference 64

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Observation 724e1ee9-d848-4c4b-99ea-2e5f3deec07c · outbound

This paper cites A Comparison Between KeyFrame Extraction Methods for Clothing Recognition, 2023.

Effectively obtaining acoustic, visual and textual data from videos A Comparison Between KeyFrame Extraction Methods for Clothing Recognition, 2023

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Observation 3644ee48-de0c-47c8-bb57-9eed6a07f0d3 · outbound

This paper cites Plumbley.

Effectively obtaining acoustic, visual and textual data from videos Plumbley

Reference 66

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Observation 734295a9-b47e-49ef-a458-dffdfe7d8398 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Effectively obtaining acoustic, visual and textual data from videos Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

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Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.824327Z

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Observation ba28e53f-7947-48ae-8690-28f0e7e5beb0 · outbound

This paper cites an unresolved cited work.

Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

Reference 68

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Observation 94c9feb5-863e-4d14-ba60-ec85cecbc01e · outbound

This paper cites BLAP: Bootstrapping Language-Audio Pre-training for Music Captioning.

Effectively obtaining acoustic, visual and textual data from videos BLAP: Bootstrapping Language-Audio Pre-training for Music Captioning

Reference 69

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Source-reported events for the cited work

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Observation e4fd3a40-1031-4c09-8502-3071e09ade49 · outbound

This paper cites Stable Diffusion Akashic Records, 2023.

Effectively obtaining acoustic, visual and textual data from videos Stable Diffusion Akashic Records, 2023

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.840392Z

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Observation 9af69ee2-41fc-4bb7-9a40-bea10e6dbff3 · outbound

This paper cites GenRL: Multimodal-foundation world models for generalization in embodied agents.

Effectively obtaining acoustic, visual and textual data from videos GenRL: Multimodal-foundation world models for generalization in embodied agents

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.845122Z

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Observation dce89b1f-caf0-430f-a02a-6568fa5b4c7e · outbound

This paper cites Mustango: Toward Controllable Text-to-Music Generation.

Effectively obtaining acoustic, visual and textual data from videos Mustango: Toward Controllable Text-to-Music Generation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.849835Z

Source-reported events for the cited work

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Observation e2bddc2e-62e9-4019-8434-618c75b22c38 · outbound

This paper cites Mukhamediev, Adilkhan Symagulov, Yan Kuchin, Kirill Yakunin, and Ma- rina Yelis.

Effectively obtaining acoustic, visual and textual data from videos Mukhamediev, Adilkhan Symagulov, Yan Kuchin, Kirill Yakunin, and Ma- rina Yelis

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.854428Z

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Observation 95916d8e-de34-48b0-ba78-b829705542a5 · outbound

This paper cites DALL·E 3 System Card, 2023.

Effectively obtaining acoustic, visual and textual data from videos DALL·E 3 System Card, 2023

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.860309Z

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Observation f1955f34-dc82-4f77-897c-572158524ffe · outbound

This paper cites Video generation models as world simulators, 2024.

Effectively obtaining acoustic, visual and textual data from videos Video generation models as world simulators, 2024

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.864946Z

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Observation 232e3c2f-2a47-448c-ae2f-a304e18c9c82 · outbound

This paper cites an unresolved cited work.

Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.869533Z

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Observation 42c840a9-50bc-43b6-9010-7f8bb454a298 · outbound

This paper cites Image-to-Image Translation: Methods and Applications.IEEE Transactions on Multimedia, 24:3859–3881, 2022.

Effectively obtaining acoustic, visual and textual data from videos Image-to-Image Translation: Methods and Applications.IEEE Transactions on Multimedia, 24:3859–3881, 2022

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Observation 071a64e6-495c-4522-bfe9-fbbd871374f7 · outbound

This paper cites AudioSetZSL, 2019.

Effectively obtaining acoustic, visual and textual data from videos AudioSetZSL, 2019

Reference 78

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Observation 2223b9a0-d786-4723-b199-03d5d455ed09 · outbound

This paper cites Coordi- nated Joint Multimodal Embeddings for Generalized Audio-Visual Zero-shot Classifi- cation and Retrieval of Videos.

Effectively obtaining acoustic, visual and textual data from videos Coordi- nated Joint Multimodal Embeddings for Generalized Audio-Visual Zero-shot Classifi- cation and Retrieval of Videos

Reference 79

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Observation 4ccd66b9-3ce4-4bb6-8ba1-378cccafe673 · outbound

This paper cites Pijanowski, Luis J.

Effectively obtaining acoustic, visual and textual data from videos Pijanowski, Luis J

Reference 80

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Observation cbee204a-803b-4c13-bc2c-e870549cd3b2 · outbound

This paper cites Plummer, Liwei Wang, Chris M.

Effectively obtaining acoustic, visual and textual data from videos Plummer, Liwei Wang, Chris M

Reference 81

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Observation df676aed-bb72-4ac0-b295-29901731b91d · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Effectively obtaining acoustic, visual and textual data from videos SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 82

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Observation d13fe9b0-f7e7-44bd-b383-7d52c3a1a9aa · outbound

This paper cites Does mixing of speech signals comply with central limit theorem? International Journal of Electronics and Communications, 62(10):782–785, 2008.

Effectively obtaining acoustic, visual and textual data from videos Does mixing of speech signals comply with central limit theorem? International Journal of Electronics and Communications, 62(10):782–785, 2008

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:01:38.722935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 27f08d89-5358-4c74-84b1-f2cb26e6d60a · outbound

This paper cites MirrorGAN: Learning Text-To-Image Generation by Redescription.

Effectively obtaining acoustic, visual and textual data from videos MirrorGAN: Learning Text-To-Image Generation by Redescription

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.907592Z

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Observation e3c07864-0d86-489c-95ab-81798b370b51 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Effectively obtaining acoustic, visual and textual data from videos Learning Transferable Visual Models From Natural Language Supervision

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.912294Z

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Observation aedb676f-01de-41a3-996e-a5061d3e48ee · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Effectively obtaining acoustic, visual and textual data from videos Robust Speech Recognition via Large-Scale Weak Supervision

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.917064Z

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Observation 87d9060f-42ac-4c74-b9f8-de95ef1ef747 · outbound

This paper cites Zero-Shot Text-to-Image Generation.

Effectively obtaining acoustic, visual and textual data from videos Zero-Shot Text-to-Image Generation

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.921533Z

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Observation f0de62db-f4ac-4b36-87d6-36ac83a0c53d · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Effectively obtaining acoustic, visual and textual data from videos Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.926838Z

Source-reported events for the cited work

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Observation becfe866-8825-413b-8892-eb51594631fe · outbound

This paper cites Stable Diffusion, 2021.

Effectively obtaining acoustic, visual and textual data from videos Stable Diffusion, 2021

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:01:38.683239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0465db97-e607-4ada-a9ba-331eec2aa695 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Effectively obtaining acoustic, visual and textual data from videos High-Resolution Image Synthesis with Latent Diffusion Models

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.937443Z

Source-reported events for the cited work

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Observation 8e505e95-660f-4781-bda9-a9e2b108ebb9 · outbound

This paper cites Introducing Gen-3 Alpha: A New Frontier for Video Generation, 2024.

Effectively obtaining acoustic, visual and textual data from videos Introducing Gen-3 Alpha: A New Frontier for Video Generation, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.942534Z

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Observation 74544f37-caf6-4c0a-ba80-96e6065ba4e1 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

Effectively obtaining acoustic, visual and textual data from videos Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.947834Z

Source-reported events for the cited work

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Observation 3fd18f94-87ce-447f-86a3-1f94f9743bd8 · outbound

This paper cites ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition.

Effectively obtaining acoustic, visual and textual data from videos ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:01:38.644398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6c2abd28-5c1e-43b3-abfb-6a13cf33016d · outbound

This paper cites Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey.

Effectively obtaining acoustic, visual and textual data from videos Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.957524Z

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Observation 1e99fdc3-62d6-4ba8-beb5-859e76015007 · outbound

This paper cites What is noise?Geophysics, 63(4):1122–1124, 1998.

Effectively obtaining acoustic, visual and textual data from videos What is noise?Geophysics, 63(4):1122–1124, 1998

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:01:38.628464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f86c7b08-e085-4929-a849-b350da166928 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

Effectively obtaining acoustic, visual and textual data from videos LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:01:38.612113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1141ad1b-87bf-4cf4-8205-39e917d797f9 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Effectively obtaining acoustic, visual and textual data from videos LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.971628Z

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Observation 181fc8f0-d346-40ef-867e-3e508f577b82 · outbound

This paper cites an unresolved cited work.

Effectively obtaining acoustic, visual and textual data from videos Unresolved cited work

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.976501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bae9aa2-c149-499e-a4ec-8a463198ecb6 · outbound

This paper cites I Hear Your True Colors: Image Guided Audio Generation.

Effectively obtaining acoustic, visual and textual data from videos I Hear Your True Colors: Image Guided Audio Generation

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.981088Z

Source-reported events for the cited work

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Observation b956306a-aaff-4ab1-bd9c-34721c77bd74 · outbound

This paper cites A Survey on Audio Synthesis and Audio-Visual Multimodal Processing.

Effectively obtaining acoustic, visual and textual data from videos A Survey on Audio Synthesis and Audio-Visual Multimodal Processing

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Resolution: unresolved; no resolver link, observed 2026-08-05T05:01:36.985927Z

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