Learning to Highlight Audio by Watching Movies | Paper Citation Record

Observation a51cb12f-4da1-434e-b5f3-bc35db7a6d7a · outbound

This paper cites Self-supervised learning of audio-visual objects from video.European Conference on Computer Vision (ECCV), 2020.

Learning to Highlight Audio by Watching Movies Self-supervised learning of audio-visual objects from video.European Conference on Computer Vision (ECCV), 2020

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.648890Z

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Observation efd189c0-596a-480b-8655-4baec0512960 · outbound

This paper cites Condensed movies: Story based retrieval with con- textual embeddings, 2020.

Learning to Highlight Audio by Watching Movies Condensed movies: Story based retrieval with con- textual embeddings, 2020

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.637795Z

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Observation 4ae7a440-8f83-4193-97db-7fa0c7546888 · outbound

This paper cites Ac- tion2sound: Ambient-aware generation of action sounds from egocentric videos.

Learning to Highlight Audio by Watching Movies Ac- tion2sound: Ambient-aware generation of action sounds from egocentric videos

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.626421Z

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Observation 53f02eec-1e20-4b44-90aa-df0abfd222a2 · outbound

This paper cites iquery: Instruments as queries for audio-visual sound separation.

Learning to Highlight Audio by Watching Movies iquery: Instruments as queries for audio-visual sound separation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.614154Z

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Observation 0734e2fc-d2f9-4d0e-aff6-241ae8fb73b1 · outbound

This paper cites Deep cross-modal audio-visual generation.

Learning to Highlight Audio by Watching Movies Deep cross-modal audio-visual generation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.602687Z

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Observation b6a8e257-6df4-4329-ad6b-3aac5c0fbaf0 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

Learning to Highlight Audio by Watching Movies How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.533483Z

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Observation f7e39f33-5a47-464d-96c6-546ecd93302e · outbound

This paper cites Hybrid spectrogram and waveform source separation.

Learning to Highlight Audio by Watching Movies Hybrid spectrogram and waveform source separation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.592847Z

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Observation 707a6090-138d-412f-a9a4-d3a40e48138b · outbound

This paper cites an unresolved cited work.

Learning to Highlight Audio by Watching Movies Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:43:57.582419Z

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Observation 69ff8f18-e499-423c-aef9-456a83a10399 · outbound

This paper cites 2.5 d visual sound.

Learning to Highlight Audio by Watching Movies 2.5 d visual sound

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.571789Z

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Observation b6e9256d-c195-4a72-9fc8-23af8cf15207 · outbound

This paper cites Visualvoice: Audio- visual speech separation with cross-modal consistency.

Learning to Highlight Audio by Watching Movies Visualvoice: Audio- visual speech separation with cross-modal consistency

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.560090Z

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Observation e6c7b969-1af2-45d8-b1eb-f5019b8a7e45 · outbound

This paper cites Learning to separate object sounds by watching unlabeled video.

Learning to Highlight Audio by Watching Movies Learning to separate object sounds by watching unlabeled video

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.549047Z

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Observation f89806ec-22ee-4f94-a61a-9446c289d34e · outbound

This paper cites Visualechoes: Spatial visual represen- tation learning through echolocation.

Learning to Highlight Audio by Watching Movies Visualechoes: Spatial visual represen- tation learning through echolocation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.537485Z

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Observation c6f0c507-2f36-4c9d-9462-e1e5352bf898 · outbound

This paper cites Geometry- aware multi-task learning for binaural audio generation from video.

Learning to Highlight Audio by Watching Movies Geometry- aware multi-task learning for binaural audio generation from video

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.527645Z

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Observation dbca678e-ff69-478e-a506-bcbb0b3a19da · outbound

This paper cites Imagebind: One embedding space to bind them all.

Learning to Highlight Audio by Watching Movies Imagebind: One embedding space to bind them all

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.517094Z

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Observation 724abbb1-111d-4851-a1d4-656b623be8b5 · outbound

This paper cites Semiautomatic visual-attention modeling and its application to video compression.

Learning to Highlight Audio by Watching Movies Semiautomatic visual-attention modeling and its application to video compression

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.504850Z

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Observation 6f000980-fe6e-4f15-903f-a6b14612f71e · outbound

This paper cites Graph- based visual saliency.Advances in neural information pro- cessing systems, 19, 2006.

Learning to Highlight Audio by Watching Movies Graph- based visual saliency.Advances in neural information pro- cessing systems, 19, 2006

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.492813Z

Source-reported events for the cited work

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Observation d41504b6-8ad8-4cea-9780-c53e07f9cb2b · outbound

This paper cites Discriminative sounding objects localization via self-supervised audiovisual matching.

Learning to Highlight Audio by Watching Movies Discriminative sounding objects localization via self-supervised audiovisual matching

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.482793Z

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Observation 7be17340-7ffd-4a40-82f7-391657c0bb44 · outbound

This paper cites High-Quality Visually-Guided Sound Separation from Diverse Categories.

Learning to Highlight Audio by Watching Movies High-Quality Visually-Guided Sound Separation from Diverse Categories

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.574566Z

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Observation 7d1955e9-c3f1-402e-a6a4-3f8493bd6dbb · outbound

This paper cites Egocentric Audio-Visual Object Localization.

Learning to Highlight Audio by Watching Movies Egocentric Audio-Visual Object Localization

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:43:56.945592Z

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Observation 85336f2f-9a80-42a8-9ea3-f6db42de32cf · outbound

This paper cites Scaling Concept With Text-Guided Diffusion Models.

Learning to Highlight Audio by Watching Movies Scaling Concept With Text-Guided Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.582004Z

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Observation 741c074a-9015-4618-ac23-770861379861 · outbound

This paper cites Modeling and Driving Human Body Soundfields through Acoustic Primitives.

Learning to Highlight Audio by Watching Movies Modeling and Driving Human Body Soundfields through Acoustic Primitives

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.585883Z

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Observation 23ea06e0-87ed-482c-9860-65a8fd1bd170 · outbound

This paper cites FreSca: Scaling in Frequency Space Enhances Diffusion Models.

Learning to Highlight Audio by Watching Movies FreSca: Scaling in Frequency Space Enhances Diffusion Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.589829Z

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Observation fbda7ce5-5822-44b2-ac39-1928ac38e497 · outbound

This paper cites A model of saliency-based visual attention for rapid scene analysis.IEEE Transactions on pattern analysis and machine intelligence, 20(11):1254–1259, 1998.

Learning to Highlight Audio by Watching Movies A model of saliency-based visual attention for rapid scene analysis.IEEE Transactions on pattern analysis and machine intelligence, 20(11):1254–1259, 1998

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.470855Z

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Observation 94133073-34b5-48c0-afb4-5977fef7089c · outbound

This paper cites Vinet: Pushing the limits of visual modality for audio-visual saliency prediction.

Learning to Highlight Audio by Watching Movies Vinet: Pushing the limits of visual modality for audio-visual saliency prediction

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.459500Z

Source-reported events for the cited work

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Observation 7dd20d2a-4a2d-4c1f-b53e-fe320916bd52 · outbound

This paper cites Deepvs: A deep learning based video saliency prediction approach.

Learning to Highlight Audio by Watching Movies Deepvs: A deep learning based video saliency prediction approach

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.449445Z

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Observation 80a96d51-b988-49a0-822d-3c9664759b63 · outbound

This paper cites Listen, Chat, and Remix: Text-Guided Soundscape Remixing for Enhanced Auditory Experience.

Learning to Highlight Audio by Watching Movies Listen, Chat, and Remix: Text-Guided Soundscape Remixing for Enhanced Auditory Experience

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.604651Z

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Observation 23f984b5-2772-4dd2-ab09-1d2effee0c11 · outbound

This paper cites Mu- sic mixing style transfer: A contrastive learning approach to disentangle audio effects.

Learning to Highlight Audio by Watching Movies Mu- sic mixing style transfer: A contrastive learning approach to disentangle audio effects

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.438056Z

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Observation 3287e27c-0d82-490f-ad63-dd5acad755c3 · outbound

This paper cites Efficient training of audio transformers with patchout.

Learning to Highlight Audio by Watching Movies Efficient training of audio transformers with patchout

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.427306Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 07bba70a-f0b2-4f80-ba63-7abe270ccec2 · outbound

This paper cites Contextual encoder–decoder network for visual saliency prediction.Neural Networks, 129:261–270, 2020.

Learning to Highlight Audio by Watching Movies Contextual encoder–decoder network for visual saliency prediction.Neural Networks, 129:261–270, 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.415971Z

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Observation edf28029-4bb3-484f-aa78-11f2af63b8c4 · outbound

This paper cites Detecting mo- ments and highlights in videos via natural language queries.

Learning to Highlight Audio by Watching Movies Detecting mo- ments and highlights in videos via natural language queries

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.618846Z

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Observation 9c41f0c1-cf73-4cad-a3cd-bdd9bdd1b52b · outbound

This paper cites Neural Acoustic Context Field: Rendering Realistic Room Impulse Response With Neural Fields.

Learning to Highlight Audio by Watching Movies Neural Acoustic Context Field: Rendering Realistic Room Impulse Response With Neural Fields

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.621828Z

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Unavailable: canonical work link unavailable.

Observation 8534be2d-cf15-4240-b9f2-50dca2d259b8 · outbound

This paper cites Av-nerf: Learning neural fields for real- world audio-visual scene synthesis.

Learning to Highlight Audio by Watching Movies Av-nerf: Learning neural fields for real- world audio-visual scene synthesis

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.398688Z

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Observation fbd16d28-3950-4686-ad02-2abd546af6c4 · outbound

This paper cites Language-guided joint audio-visual editing via one-shot adaptation.

Learning to Highlight Audio by Watching Movies Language-guided joint audio-visual editing via one-shot adaptation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.387931Z

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Observation 0d561870-2553-4441-baea-3fbe1ab9aa2c · outbound

This paper cites Univtg: Towards unified video-language temporal grounding.

Learning to Highlight Audio by Watching Movies Univtg: Towards unified video-language temporal grounding

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.377122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8ac7ba1-5261-47cc-a9c6-a888539a8327 · outbound

This paper cites AudioLDM: Text-to-Audio Generation with Latent Diffusion Models.

Learning to Highlight Audio by Watching Movies AudioLDM: Text-to-Audio Generation with Latent Diffusion Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.636913Z

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Observation 49cbf520-a9a8-43d5-96ec-777ff50b9ea6 · outbound

This paper cites Umt: Unified multi-modal transformers for joint video moment retrieval and highlight detection.

Learning to Highlight Audio by Watching Movies Umt: Unified multi-modal transformers for joint video moment retrieval and highlight detection

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.365652Z

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Observation 0d3900ed-99b6-4b67-88da-b3530d474552 · outbound

This paper cites Play as you like: Timbre-enhanced multi-modal music style transfer.

Learning to Highlight Audio by Watching Movies Play as you like: Timbre-enhanced multi-modal music style transfer

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.352953Z

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Observation 431016d6-3d3d-42da-823d-2e78a30ad435 · outbound

This paper cites Conv-tasnet: Surpassing ideal time–frequency magnitude masking for speech separation.

Learning to Highlight Audio by Watching Movies Conv-tasnet: Surpassing ideal time–frequency magnitude masking for speech separation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.342275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bdab03a7-f680-4d18-96ef-6e955dc90fe6 · outbound

This paper cites Deep learning for black-box modeling of audio effects.Applied Sciences, 10(2):638, 2020.

Learning to Highlight Audio by Watching Movies Deep learning for black-box modeling of audio effects.Applied Sciences, 10(2):638, 2020

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.331961Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1c1838d5-dfd6-4d6b-ad7f-76553942cffe · outbound

This paper cites Localizing Visual Sounds the Easy Way.

Learning to Highlight Audio by Watching Movies Localizing Visual Sounds the Easy Way

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:43:56.875627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d1c98d3c-13eb-4573-993a-3fad69e861ae · outbound

This paper cites Query-dependent video representation for moment retrieval and highlight detection.

Learning to Highlight Audio by Watching Movies Query-dependent video representation for moment retrieval and highlight detection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.321856Z

Source-reported events for the cited work

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Observation d1933679-1a7b-47be-901e-1fbf8c8d2b7a · outbound

This paper cites Self-supervised generation of spatial audio for 360 video.Advances in neural information processing systems, 2018.

Learning to Highlight Audio by Watching Movies Self-supervised generation of spatial audio for 360 video.Advances in neural information processing systems, 2018

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.311931Z

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Observation 5a9f839e-4a35-4ebc-a2f1-6429a22aecb7 · outbound

This paper cites Audio-visual scene analysis with self-supervised multisensory features.

Learning to Highlight Audio by Watching Movies Audio-visual scene analysis with self-supervised multisensory features

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.662916Z

Source-reported events for the cited work

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Observation e328d08e-43df-4140-8eb0-3c65150d10b9 · outbound

This paper cites Visually indicated sounds.

Learning to Highlight Audio by Watching Movies Visually indicated sounds

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.295557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 168c549d-fd24-4996-8c6c-170a804288db · outbound

This paper cites Physical Modeling using Recurrent Neural Networks with Fast Convolutional Layers.

Learning to Highlight Audio by Watching Movies Physical Modeling using Recurrent Neural Networks with Fast Convolutional Layers

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.669576Z

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Observation 07c0f6e1-903b-4a55-a0d8-89dfa53deb06 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

Learning to Highlight Audio by Watching Movies Movie Gen: A Cast of Media Foundation Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.672711Z

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Unavailable: canonical work link unavailable.

Observation 1d8d05b0-b0d6-4ce7-986f-a076a02267b5 · outbound

This paper cites Multiple sound sources localization from coarse to fine.

Learning to Highlight Audio by Watching Movies Multiple sound sources localization from coarse to fine

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.284465Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 063563da-5171-437a-9c77-cc836439d59f · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Learning to Highlight Audio by Watching Movies Learning transferable visual models from natural language supervi- sion

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.680364Z

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Unavailable: canonical work link unavailable.

Observation f05f1a3c-6f88-40ab-8328-6fef90a5d6f4 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020.

Learning to Highlight Audio by Watching Movies Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.683920Z

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Unavailable: canonical work link unavailable.

Observation 7638f41c-ab81-432f-b841-a17ed6e74334 · outbound

This paper cites Modeling nonlinear audio effects with end-to-end deep neural networks.

Learning to Highlight Audio by Watching Movies Modeling nonlinear audio effects with end-to-end deep neural networks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.261368Z

Source-reported events for the cited work

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Observation f9226e98-9c7a-418b-b13f-196d4a7b7510 · outbound

This paper cites Dynamic storyboard generation in an engine-based virtual environment for video production.

Learning to Highlight Audio by Watching Movies Dynamic storyboard generation in an engine-based virtual environment for video production

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.250108Z

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Observation 06ffbbbc-e9f2-4ab6-8bd5-0fce5b7d3964 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmenta- tion.

Learning to Highlight Audio by Watching Movies U- net: Convolutional networks for biomedical image segmenta- tion

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.237273Z

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Observation c93b2b5f-62e9-4ed8-b979-29b9b4f3d239 · outbound

This paper cites Separate and reconstruct: Asymmetric encoder- decoder for speech separation.

Learning to Highlight Audio by Watching Movies Separate and reconstruct: Asymmetric encoder- decoder for speech separation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.226711Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6f206bb7-7f26-4109-bee8-fabfb42f6dfa · outbound

This paper cites Freeu: Free lunch in diffusion u-net.

Learning to Highlight Audio by Watching Movies Freeu: Free lunch in diffusion u-net

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.701754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36502121-6b6d-4db9-ab22-6d7caab824fc · outbound

This paper cites Steinmetz and Joshua D.

Learning to Highlight Audio by Watching Movies Steinmetz and Joshua D

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.208937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 26208ba6-5455-4d66-8fd0-39b920f92be0 · outbound

This paper cites Style Transfer of Audio Effects with Differentiable Signal Processing.

Learning to Highlight Audio by Watching Movies Style Transfer of Audio Effects with Differentiable Signal Processing

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.709150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0350546e-c7a0-4146-bd0a-8a9dbf807237 · outbound

This paper cites Attention is all you need in speech separation.

Learning to Highlight Audio by Watching Movies Attention is all you need in speech separation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.197769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 21aec616-cc3f-4502-87a9-638554ad89f3 · outbound

This paper cites Audio-visual event localization in unconstrained videos.

Learning to Highlight Audio by Watching Movies Audio-visual event localization in unconstrained videos

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.187126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 956420ac-a5d3-43de-be8a-05a7a83109b2 · outbound

This paper cites Unified mul- tisensory perception: Weakly-supervised audio-visual video parsing.

Learning to Highlight Audio by Watching Movies Unified mul- tisensory perception: Weakly-supervised audio-visual video parsing

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.177004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1998293-151d-4492-a605-d5e121ae2904 · outbound

This paper cites Cyclic co-learning of sounding object visual grounding and sound separation.

Learning to Highlight Audio by Watching Movies Cyclic co-learning of sounding object visual grounding and sound separation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.166104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 240678ba-d242-42be-a186-a6b14e95e1c3 · outbound

This paper cites Diff-MST: Differentiable Mixing Style Transfer.

Learning to Highlight Audio by Watching Movies Diff-MST: Differentiable Mixing Style Transfer

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:43:56.834097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 73a6042c-3a3b-4f8e-9f2b-a6bfe96d4d65 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Learning to Highlight Audio by Watching Movies Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.730758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e82070b1-dc75-47cd-8e42-a328bcf9458e · outbound

This paper cites Audiobox: Unified Audio Generation with Natural Language Prompts.

Learning to Highlight Audio by Watching Movies Audiobox: Unified Audio Generation with Natural Language Prompts

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.733736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 588209f5-3e04-4bd8-969f-c3d9dbd5a46a · outbound

This paper cites Lave: Llm-powered agent assistance and lan- guage augmentation for video editing.

Learning to Highlight Audio by Watching Movies Lave: Llm-powered agent assistance and lan- guage augmentation for video editing

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.148137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2c7b2960-a070-4896-873e-d5ce0e1b6b3c · outbound

This paper cites Re- mastering divide and remaster: A cinematic audio source separation dataset with multilingual support.

Learning to Highlight Audio by Watching Movies Re- mastering divide and remaster: A cinematic audio source separation dataset with multilingual support

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.138080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f9369f9-e204-4661-b1de-1db0971b3ade · outbound

This paper cites Seeing and hearing: Open-domain visual-audio generation with diffusion latent aligners.

Learning to Highlight Audio by Watching Movies Seeing and hearing: Open-domain visual-audio generation with diffusion latent aligners

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.126835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 39e53fed-cf3b-47f2-bb7d-3ea808ac5f13 · outbound

This paper cites Visually informed binaural audio generation without binaural audios.

Learning to Highlight Audio by Watching Movies Visually informed binaural audio generation without binaural audios

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.116273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba62b237-6e36-4e89-a921-933173a54bc0 · outbound

This paper cites Parallel waveform synthesis based on generative adversarial networks with voicing-aware conditional discrimi- nators.

Learning to Highlight Audio by Watching Movies Parallel waveform synthesis based on generative adversarial networks with voicing-aware conditional discrimi- nators

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.103980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58100920-6946-4136-8f85-3a21f59bbebb · outbound

This paper cites Don’t separate, learn to remix: End-to-end neural remixing with joint optimization.

Learning to Highlight Audio by Watching Movies Don’t separate, learn to remix: End-to-end neural remixing with joint optimization

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.091200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1fdaf460-d2cd-4561-816d-67b5374b9ab1 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Learning to Highlight Audio by Watching Movies Adding conditional control to text-to-image diffusion models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:56.757729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76347d0f-2d62-4dd0-bf79-94fbd0648e83 · outbound

This paper cites The sound of pixels.

Learning to Highlight Audio by Watching Movies The sound of pixels

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.075481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 415e7205-2712-4e0b-82de-4fba7e2ef488 · outbound

This paper cites github.io/VisAH/) to illustrate our method and show- case our results.We strongly encourage readers to visit this webpage and use headphones.

Learning to Highlight Audio by Watching Movies github.io/VisAH/) to illustrate our method and show- case our results.We strongly encourage readers to visit this webpage and use headphones

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.064682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0a7cf33a-e181-407f-b6ec-d94281377909 · outbound

This paper cites Here, we provide case studies to illustrate the conditions under which such failures occur.

Learning to Highlight Audio by Watching Movies Here, we provide case studies to illustrate the conditions under which such failures occur

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.054799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 94548f8d-8eca-4427-99a0-eee2e9a3e3da · outbound

This paper cites an unresolved cited work.

Learning to Highlight Audio by Watching Movies Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:43:57.044369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cabe2c01-cf69-4541-9555-05bdb35bd001 · outbound

This paper cites As illustrated in Fig.

Learning to Highlight Audio by Watching Movies As illustrated in Fig

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.032536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ef2ea07-7f12-4c1f-98b1-4422d3d36c6f · outbound

This paper cites The MR-STFT loss is implemented by computing theℓ1 distance between the am- plitude spectrograms of the predicted signalˆsand the ground truth signals.

Learning to Highlight Audio by Watching Movies The MR-STFT loss is implemented by computing theℓ1 distance between the am- plitude spectrograms of the predicted signalˆsand the ground truth signals

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.021947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3c7a137-52bd-4382-ae78-2c65293b09dc · outbound

This paper cites a dark, elegant outfit.

Learning to Highlight Audio by Watching Movies a dark, elegant outfit

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:57.010808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f4be45b9-2dbe-4033-8b72-8c5670f5ae98 · outbound

This paper cites While our method requires more time, it remains efficient for practical applications.

Learning to Highlight Audio by Watching Movies While our method requires more time, it remains efficient for practical applications

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:56.999109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad2d3e47-8658-4e39-8e88-954984990296 · outbound

This paper cites 12 across differ- ent levels of dataset difficulty, as discussed in Sec 5.3.2 and shown in Tab.

Learning to Highlight Audio by Watching Movies 12 across differ- ent levels of dataset difficulty, as discussed in Sec 5.3.2 and shown in Tab

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:43:56.988438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 61a0208a-99d0-4bc1-984b-f29713def338 · outbound

This paper cites an unresolved cited work.

Learning to Highlight Audio by Watching Movies Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:43:56.977948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers