Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling | Paper Citation Record

Observation ed98efab-33ff-4e63-b516-420bd56d6198 · outbound

This paper cites Neural systems for recognizing emotion.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Neural systems for recognizing emotion

Reference 1

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Observation 1b38140f-c4f4-40ca-84fa-924b5dbaf213 · outbound

This paper cites Emotion-aware connected health- care big data towards 5g.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Emotion-aware connected health- care big data towards 5g

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.887271Z

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Observation f01b6ceb-ec5f-41be-954d-362f3ec447e3 · outbound

This paper cites Learning deep global multi-scale and local attention features for facial expression recognition in the wild.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Learning deep global multi-scale and local attention features for facial expression recognition in the wild

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.943735Z

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Observation 934cec41-19fd-4bf4-b3d0-420e47a889a6 · outbound

This paper cites Emotion recognition from unimodal to multimodal analysis: A review.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Emotion recognition from unimodal to multimodal analysis: A review

Reference 4

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Observation 1673538e-90ab-436e-8dfa-75200e7aa968 · outbound

This paper cites All rivers run into the sea: Unified modality brain-inspired emotional central mechanism.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling All rivers run into the sea: Unified modality brain-inspired emotional central mechanism

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.917848Z

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Observation 76d67c76-44bd-4798-9621-cb98b118c7f4 · outbound

This paper cites A systematic review on affective computing: Emotion models, databases, and recent advances.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling A systematic review on affective computing: Emotion models, databases, and recent advances

Reference 6

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Observation f8ad3704-ea66-43e8-b8a0-e6de3edbfbca · outbound

This paper cites The neurobiological basis of affect is consistent with psychological construction theory and shares a common neural basis across emotional categories.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling The neurobiological basis of affect is consistent with psychological construction theory and shares a common neural basis across emotional categories

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.011246Z

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Observation 429ca555-08cc-491c-883a-97f7d2ded375 · outbound

This paper cites Emotional pictures and sounds: a review of multimodal interactions of emotion cues in multiple domains.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Emotional pictures and sounds: a review of multimodal interactions of emotion cues in multiple domains

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.984907Z

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Observation c5a0c0f8-eb77-4cd1-b316-b4457482254b · outbound

This paper cites The brain and its time: intrinsic neural timescales are key for input processing.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling The brain and its time: intrinsic neural timescales are key for input processing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.940163Z

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Observation 931efdc5-06b0-474a-911e-de9ae0df51b3 · outbound

This paper cites The cognitive– affective social processing and emotion regulation (casper) model.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling The cognitive– affective social processing and emotion regulation (casper) model

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.914471Z

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Observation 148b3a31-d46e-4142-bb3d-af39ad644e65 · outbound

This paper cites A Survey on Facial Expression Recognition of Static and Dynamic Emotions.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling A Survey on Facial Expression Recognition of Static and Dynamic Emotions

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:26:03.079087Z

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Observation 1a4fbe31-ae0e-4ffe-bd1a-761ee76e49f9 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Learning transferable visual models from natural language supervision

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.922418Z

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Observation 1c9feff1-236f-4ca6-8f74-f1ec969709e7 · outbound

This paper cites Cliper: A unified vision-language framework for in-the-wild facial expression recognition.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Cliper: A unified vision-language framework for in-the-wild facial expression recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.929499Z

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Observation 85982acc-b848-4dae-ae87-81daac1822fa · outbound

This paper cites Exploring regional clues in clip for zero-shot semantic segmentation.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Exploring regional clues in clip for zero-shot semantic segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.053544Z

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Observation 4274a670-c179-432d-8e39-f517e0f2bb54 · outbound

This paper cites The unbearable automaticity of being.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling The unbearable automaticity of being

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.932708Z

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Observation 33c9380a-63d0-40a5-8aae-a0dcca49c112 · outbound

This paper cites The theory of constructed emotion: an active inference account of interoception and categorization.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling The theory of constructed emotion: an active inference account of interoception and categorization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.958488Z

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Observation 2afd8ebe-e632-42a2-93ab-410cff1d362e · outbound

This paper cites Hierarchical process memory: memory as an integral component of information processing.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Hierarchical process memory: memory as an integral component of information processing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.007417Z

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Observation b4d6458b-ca10-4d19-86ad-ae2f5bc2f90e · outbound

This paper cites The neurobiology of semantic memory.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling The neurobiology of semantic memory

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.041826Z

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Observation 10652338-d310-436c-ba8c-725914a30642 · outbound

This paper cites The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.046241Z

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Observation 504e9333-dc5b-4f6d-89dc-aa5f5f76bee5 · outbound

This paper cites Dfew: A large-scale database for recognizing dynamic facial expres- sions in the wild.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Dfew: A large-scale database for recognizing dynamic facial expres- sions in the wild

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.980729Z

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Observation 75185c8c-e701-4f8f-ae30-4b08c7ecfefe · outbound

This paper cites Ferv39k: A large-scale multi-scene dataset for facial expression recognition in videos.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Ferv39k: A large-scale multi-scene dataset for facial expression recognition in videos

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.972848Z

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Observation 05c19fda-d493-4aa9-862f-846b8266ffb6 · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Learning spatiotemporal features with 3d convolutional networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.992960Z

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Observation a48a87ab-cfcb-46b1-9cde-c94a77825a9a · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling The power of scale for parameter-efficient prompt tuning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.876309Z

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Observation 77489b1c-05f4-42a5-8c2d-b533ad50b431 · outbound

This paper cites Recent advancements and challenges of nlp- based sentiment analysis: A state-of-the-art review.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Recent advancements and challenges of nlp- based sentiment analysis: A state-of-the-art review

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.907324Z

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Observation fe433572-5d83-47bc-bbff-34348ffa7fc8 · outbound

This paper cites Conditional prompt learning for vision-language models.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Conditional prompt learning for vision-language models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.880302Z

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Observation 3459c7b6-f4e3-4fad-a456-7d3837c72cd9 · outbound

This paper cites Visual prompt tuning.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Visual prompt tuning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.976913Z

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Observation 979a6d06-c336-4249-93ae-d33a04e4b815 · outbound

This paper cites Maple: Multi-modal prompt learning.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Maple: Multi-modal prompt learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.951278Z

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Observation 302da251-5243-457e-9443-44198e64f3e3 · outbound

This paper cites Knowledge transfer for cross-domain reinforcement learning: a systematic review.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Knowledge transfer for cross-domain reinforcement learning: a systematic review

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.969062Z

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Observation ddb68ff7-2cd5-46fe-a84c-ce97bcf92e9e · outbound

This paper cites Adversarial training in affective computing and sentiment analysis: Recent advances and perspectives.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Adversarial training in affective computing and sentiment analysis: Recent advances and perspectives

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.999894Z

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Observation 9745ae9a-00e4-433b-ac71-498f3be9cada · outbound

This paper cites Disentangled representation learning for multimodal emotion recognition.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Disentangled representation learning for multimodal emotion recognition

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.033899Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 012a32f3-f33b-4992-8c73-3cb1dc71444c · outbound

This paper cites Ceprompt: Cross-modal emotion-aware prompting for facial expression recognition.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Ceprompt: Cross-modal emotion-aware prompting for facial expression recognition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.903232Z

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Observation e24f920e-394f-44c5-a7e4-0416bf440e38 · outbound

This paper cites Learning spatio-temporal representation with pseudo-3d residual networks.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Learning spatio-temporal representation with pseudo-3d residual networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.022254Z

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Observation c61e4aee-4987-40ae-a504-a6d38f825b3b · outbound

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

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Quo vadis, action recognition? a new model and the kinetics dataset

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.899297Z

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Observation b800a09e-292e-45d9-9e25-0c224d33273b · outbound

This paper cites A closer look at spatiotemporal convolutions for action recognition.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling A closer look at spatiotemporal convolutions for action recognition

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.894928Z

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Observation 61422f96-7352-46d2-9b88-461f2ff107d3 · outbound

This paper cites Former-dfer: Dynamic facial expression recog- nition transformer.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Former-dfer: Dynamic facial expression recog- nition transformer

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.018432Z

Source-reported events for the cited work

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Observation 1d35fb8e-457c-4cd3-9738-d7a721c5a3a6 · outbound

This paper cites NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition

Reference 36

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Observation eee6ec80-e3ad-4731-bc9b-bedb0827af3b · outbound

This paper cites Dpcnet: Dual path multi-excitation collaborative network for facial expression representation learning in videos.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Dpcnet: Dual path multi-excitation collaborative network for facial expression representation learning in videos

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.014505Z

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Observation 69918a2e-c1ff-4bee-8669-453f1f30a18b · outbound

This paper cites Ex- pression snippet transformer for robust video-based facial expression recognition.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Ex- pression snippet transformer for robust video-based facial expression recognition

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.030133Z

Source-reported events for the cited work

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Observation f433b118-1680-4f4e-82d0-5266abd42bb9 · outbound

This paper cites Logo-former: Local-global spatio-temporal transformer for dynamic facial expression recognition.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Logo-former: Local-global spatio-temporal transformer for dynamic facial expression recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.947596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4cda5f70-3945-413d-b829-f13c16c36e6a · outbound

This paper cites Intensity-aware loss for dynamic facial expression recognition in the wild.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Intensity-aware loss for dynamic facial expression recognition in the wild

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.025974Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a405ddc9-2c9b-41a6-808d-974794c6fb7f · outbound

This paper cites Multi-scale correlation module for video-based facial expression recognition in the wild.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Multi-scale correlation module for video-based facial expression recognition in the wild

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.003705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1025f946-f9f8-4112-8884-5937cacc00e3 · outbound

This paper cites Rethinking the learning paradigm for dynamic facial expression recognition.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Rethinking the learning paradigm for dynamic facial expression recognition

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.910895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8783eac5-9306-41f0-b599-8f209666e534 · outbound

This paper cites Frame level emotion guided dynamic facial expression recognition with emotion grouping.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Frame level emotion guided dynamic facial expression recognition with emotion grouping

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.891289Z

Source-reported events for the cited work

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Observation 9b295213-9a5a-44b4-8cc6-da20d1318c56 · outbound

This paper cites Prompting visual-language models for dynamic facial expression recognition.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Prompting visual-language models for dynamic facial expression recognition

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.925926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d64f74ec-b8d4-46ae-b7b1-347f0714d87f · outbound

This paper cites Mae-dfer: Efficient masked autoencoder for self-supervised dynamic facial expression recogni- tion.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Mae-dfer: Efficient masked autoencoder for self-supervised dynamic facial expression recogni- tion

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.037840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9924f3ee-4a52-4158-816a-b7e6608fe46c · outbound

This paper cites Emoclip: A vision-language method for zero-shot video facial expression recognition.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Emoclip: A vision-language method for zero-shot video facial expression recognition

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.936519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 955e9990-88e6-4034-9d5e-e5231c4e4f33 · outbound

This paper cites Empower smart cities with sampling-wise dynamic facial expression recognition via frame- sequence contrastive learning.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Empower smart cities with sampling-wise dynamic facial expression recognition via frame- sequence contrastive learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.964792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e1aefd7a-40c9-48fd-b66c-e940e7708c0a · outbound

This paper cites Cdgt: Constructing diverse graph transformers for emotion recognition from facial videos.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Cdgt: Constructing diverse graph transformers for emotion recognition from facial videos

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.058180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4d6816ef-1713-440e-b298-d8e0692de159 · outbound

This paper cites A joint local spatial and global temporal cnn-transformer for dynamic facial expression recognition.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling A joint local spatial and global temporal cnn-transformer for dynamic facial expression recognition

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:18.961630Z

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Observation ddc25506-12ed-4e56-9aa7-eec9c1be79e9 · outbound

This paper cites Hicmae: Hierarchical contrastive masked autoencoder for self-supervised audio-visual emotion recog- nition.

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling Hicmae: Hierarchical contrastive masked autoencoder for self-supervised audio-visual emotion recog- nition

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:06:19.049933Z

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