TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation | Paper Citation Record

Observation adb0f36b-664d-4e1b-aa97-d19928e0cf55 · outbound

This paper cites Maven: Multi-modal attention for valence-arousal emotion network.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Maven: Multi-modal attention for valence-arousal emotion network

Reference 1

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Observation 8a15a724-ae5f-498f-8496-2820847ba743 · outbound

This paper cites Gated multimodal networks.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Gated multimodal networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.647964Z

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Observation 54282bae-b66e-45ec-8a40-004fa50bad6f · outbound

This paper cites Valence focus and arousal focus: Individual differences in the structure of affective experience.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Valence focus and arousal focus: Individual differences in the structure of affective experience

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.636828Z

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Observation 9af34998-835e-45d6-a2a3-23e6dc66d339 · outbound

This paper cites Joint modelling of audio-visual cues using attention mechanisms for emotion recognition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Joint modelling of audio-visual cues using attention mechanisms for emotion recognition

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.625857Z

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Observation 2154ffd1-55c6-42a1-ad43-85a25ca49232 · outbound

This paper cites Ms-celeb-1m: A dataset and benchmark for large-scale face recognition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Ms-celeb-1m: A dataset and benchmark for large-scale face recognition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.614427Z

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Observation 3ed6848f-edaf-46f0-93af-775fd11c7079 · outbound

This paper cites Deep residual learning for image recognition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Deep residual learning for image recognition

Reference 6

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Observation dc2487bc-d498-4755-969f-efdc8c82796a · outbound

This paper cites Deep learning-based approach for con- tinuous affect prediction from facial expression images in valence-arousal space.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Deep learning-based approach for con- tinuous affect prediction from facial expression images in valence-arousal space

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.596362Z

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Observation 772f1660-88d3-4d0a-8662-1b7e01aa23d4 · outbound

This paper cites Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:44:22.111595Z

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Observation 321eb557-9b8f-42b1-a036-2a0eaae561a2 · outbound

This paper cites Abaw: Valence-arousal estimation, ex- pression recognition, action unit detection & multi-task learning challenges.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Abaw: Valence-arousal estimation, ex- pression recognition, action unit detection & multi-task learning challenges

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.584193Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 31427eb2-ac68-4115-8700-a5969f13774d · outbound

This paper cites Abaw: Learning from synthetic data & multi-task learning challenges.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Abaw: Learning from synthetic data & multi-task learning challenges

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.573098Z

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Observation ec734efa-6dcc-451d-8ff7-1344a518e0bc · outbound

This paper cites Multi-label compound expression recog- nition: C-expr database & network.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Multi-label compound expression recog- nition: C-expr database & network

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.561232Z

Source-reported events for the cited work

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Observation d35e1e0e-928b-473f-b131-0c09725a0a65 · outbound

This paper cites Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:44:18.955974Z

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Observation 1416043f-2f79-47a2-8c63-591df5a5ba4f · outbound

This paper cites Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:44:18.977500Z

Source-reported events for the cited work

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Observation 8038ab7f-ad45-464e-943a-f42dc222a415 · outbound

This paper cites Analysing affec- tive behavior in the second abaw2 competition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Analysing affec- tive behavior in the second abaw2 competition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.549475Z

Source-reported events for the cited work

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Observation 48ae7f90-e52a-422a-9f39-48cba4b9eadb · outbound

This paper cites Analysing affective behavior in the first abaw 2020 competition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Analysing affective behavior in the first abaw 2020 competition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.538337Z

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Observation fe4289f4-d6ab-4cf8-8f89-19999bc3477b · outbound

This paper cites Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:44:19.102470Z

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Observation 527f2aa2-f99a-4b3e-832a-562f14d863e6 · outbound

This paper cites Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architec- tures, and beyond.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architec- tures, and beyond

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.526876Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 99ea2612-1655-43aa-bc73-80baf97278f0 · outbound

This paper cites Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:44:19.216546Z

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Observation f95d004e-0214-4d5c-87e0-161a092088ad · outbound

This paper cites Abaw: Valence-arousal esti- mation, expression recognition, action unit detection & emo- tional reaction intensity estimation challenges.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Abaw: Valence-arousal esti- mation, expression recognition, action unit detection & emo- tional reaction intensity estimation challenges

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.515640Z

Source-reported events for the cited work

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Observation a7cdfd12-b52b-4172-b165-aee9ec26c987 · outbound

This paper cites Distribution matching for multi-task learning of classification tasks: a large-scale study on faces & beyond.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Distribution matching for multi-task learning of classification tasks: a large-scale study on faces & beyond

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.503125Z

Source-reported events for the cited work

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Observation 0f8bbc7b-c0c6-4915-a7ce-40ae2a629447 · outbound

This paper cites The 6th affective behav- ior analysis in-the-wild (abaw) competition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation The 6th affective behav- ior analysis in-the-wild (abaw) competition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.490707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 86e746f1-c41e-4851-a5e5-191d72c70b9d · outbound

This paper cites 7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation 7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:44:19.440218Z

Source-reported events for the cited work

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Observation ddafcc4c-10e6-4836-ad3c-b488f9ed466a · outbound

This paper cites DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:44:19.523313Z

Source-reported events for the cited work

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Observation 56fb3ec0-5a4d-4c34-8a43-bd6fa7dd6edd · outbound

This paper cites Advancements in affective and behavior analysis: The 8th abaw workshop and competition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Advancements in affective and behavior analysis: The 8th abaw workshop and competition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.477889Z

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Observation bbc6667e-a2c7-46f9-930b-dfacd59c51ba · outbound

This paper cites Gated mechanism for at- tention based multi modal sentiment analysis.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Gated mechanism for at- tention based multi modal sentiment analysis

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.465891Z

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Observation 4e0b2da9-86be-48b4-89ec-1ba9907f2861 · outbound

This paper cites Emotion, artificial intelligence, and ethics.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Emotion, artificial intelligence, and ethics

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.453885Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1b9b5dba-8e12-4558-bbe2-6551eb179206 · outbound

This paper cites Multi-modal fusion network with complementarity and importance for emotion recognition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Multi-modal fusion network with complementarity and importance for emotion recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.443345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ab4c25aa-e8a7-4371-8ae9-0be369e54e97 · outbound

This paper cites Valence and arousal estimation based on multimodal temporal-aware features for videos in the wild.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Valence and arousal estimation based on multimodal temporal-aware features for videos in the wild

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.432242Z

Source-reported events for the cited work

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Observation 4f2e5900-cbe4-4ddd-a9f9-6de6ba3ec325 · outbound

This paper cites United we stand: Emphasizing commonali- ties across cognitive-behavioral therapies.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation United we stand: Emphasizing commonali- ties across cognitive-behavioral therapies

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.421560Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bd54f25a-9a22-4500-835e-012ab1827522 · outbound

This paper cites Cnn-lstm facial ex- pression recognition method fused with two-layer attention mechanism.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Cnn-lstm facial ex- pression recognition method fused with two-layer attention mechanism

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.410572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b4c98aec-1ef2-4dc1-9daa-5ffbaecdcde5 · outbound

This paper cites Mul- timodal emotion recognition using cross modal audio-video fusion with attention and deep metric learning.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Mul- timodal emotion recognition using cross modal audio-video fusion with attention and deep metric learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.399920Z

Source-reported events for the cited work

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Observation 68c6a5e7-b357-4a85-a392-afe472e92a4b · outbound

This paper cites Cross-attention is not always needed: Dynamic cross-attention for audio-visual di- mensional emotion recognition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Cross-attention is not always needed: Dynamic cross-attention for audio-visual di- mensional emotion recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.388079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 78aad30c-a53f-41fb-aeec-786c5f0a3edc · outbound

This paper cites Incongruity-aware cross-modal attention for audio-visual fusion in dimensional emotion recognition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Incongruity-aware cross-modal attention for audio-visual fusion in dimensional emotion recognition

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.376056Z

Source-reported events for the cited work

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Observation fc456000-efae-4ac2-8183-25063e1d43ff · outbound

This paper cites Recursive joint cross- modal attention for multimodal fusion in dimensional emo- tion recognition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Recursive joint cross- modal attention for multimodal fusion in dimensional emo- tion recognition

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.362720Z

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Observation 0704a91d-7057-429e-9e9d-ee7916c0345a · outbound

This paper cites A joint cross-attention model for audio-visual fusion in dimensional emotion recognition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation A joint cross-attention model for audio-visual fusion in dimensional emotion recognition

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.348192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f294aa7b-f263-44b2-82fc-e77124ec60f3 · outbound

This paper cites Audio–visual fusion for emotion recognition in the valence– arousal space using joint cross-attention.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Audio–visual fusion for emotion recognition in the valence– arousal space using joint cross-attention

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.335756Z

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Observation a41a016f-36df-4e7f-b838-70b05b07b0d0 · outbound

This paper cites Re- cursive joint attention for audio-visual fusion in regression based emotion recognition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Re- cursive joint attention for audio-visual fusion in regression based emotion recognition

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.321672Z

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Observation 543975f0-aafc-4157-b92c-6c86b83084c3 · outbound

This paper cites A circumplex model of affect.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation A circumplex model of affect

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.300250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c428f214-0690-45e6-8a23-a6e3cbea8a92 · outbound

This paper cites Audiovisual three-level fusion for continuous esti- mation of russell’s emotion circumplex.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Audiovisual three-level fusion for continuous esti- mation of russell’s emotion circumplex

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.286943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ad5e7b5c-8cc5-4889-9ddc-d298476ccd5d · outbound

This paper cites A novel spatio-temporal convolu- tional neural framework for multimodal emotion recogni- tion.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation A novel spatio-temporal convolu- tional neural framework for multimodal emotion recogni- tion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.273441Z

Source-reported events for the cited work

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Observation 91beed96-c190-4ac6-bd46-7688cd6f4ba9 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 41

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Source-reported events for the cited work

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Observation cac217ec-d3c4-43c5-9e2b-692481e93f27 · outbound

This paper cites Using deep and convo- lutional neural networks for accurate emotion classification on deap data.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Using deep and convo- lutional neural networks for accurate emotion classification on deap data

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.260945Z

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Observation c07c6317-b39c-40a4-aa56-453a65d37877 · outbound

This paper cites A multimodal fusion emotion recognition method based on multitask learn- ing and attention mechanism.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation A multimodal fusion emotion recognition method based on multitask learn- ing and attention mechanism

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.248034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f267650b-37ab-4af0-bc62-5b54419ca85e · outbound

This paper cites Speech emotion classi- fication using attention-based lstm.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Speech emotion classi- fication using attention-based lstm

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.235505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a68ac420-a847-4c99-85e2-fa76362146d5 · outbound

This paper cites Aff-wild: Valence and arousal ‘in-the-wild’challenge.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Aff-wild: Valence and arousal ‘in-the-wild’challenge

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.221544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c4de6969-7af0-4d76-9c8d-bd0928d60140 · outbound

This paper cites Contin- uous emotion recognition with audio-visual leader-follower attentive fusion.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Contin- uous emotion recognition with audio-visual leader-follower attentive fusion

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.207270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 646e9ce0-f87b-431d-aaef-98771a0308ce · outbound

This paper cites Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.193649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f8e8e021-4d5d-45f9-b6b5-a3bba7ac3114 · outbound

This paper cites A multimodal semantic fusion network with cross-modal alignment for multimodal senti- ment analysis.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation A multimodal semantic fusion network with cross-modal alignment for multimodal senti- ment analysis

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.180022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c9d76662-b285-4b16-a3b5-553657319efd · outbound

This paper cites Multi- modal facial affective analysis based on masked autoencoder.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Multi- modal facial affective analysis based on masked autoencoder

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.166333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b89931c9-4efb-44d9-9979-170bebca94ed · outbound

This paper cites M 3 f: Multi-modal continuous valence-arousal esti- mation in the wild.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation M 3 f: Multi-modal continuous valence-arousal esti- mation in the wild

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.152792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c8d857d8-c9ab-4673-ac44-4a7a6b3a2ee5 · outbound

This paper cites Abaw5 challenge: A facial affect recognition ap- proach utilizing transformer encoder and audiovisual fusion.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Abaw5 challenge: A facial affect recognition ap- proach utilizing transformer encoder and audiovisual fusion

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.140098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb3d9f7c-d28e-4d25-858d-fa86bcbab7c2 · outbound

This paper cites Leveraging tcn and transformer for effective visual- audio fusion in continuous emotion recognition.

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation Leveraging tcn and transformer for effective visual- audio fusion in continuous emotion recognition

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:44:22.125976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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