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Paper Citation Record · LEDGER

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition

As of 10 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2505.19694.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.19694 v1

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measured 62 of 62 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

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Outbound references

Observation d062d7b0-e3bf-41df-949c-ba2a834a6228 · outbound

This paper cites One-shot unsupervised domain adaptation with personalized diffusion models.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition One-shot unsupervised domain adaptation with personalized diffusion models

Reference 1

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Observation 5ecc21a0-07af-43af-9e09-ca3506460422 · outbound

This paper cites Uniemox: Cross- modal semantic-guided large-scale pretraining for universal scene emotion perception, 2024.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Uniemox: Cross- modal semantic-guided large-scale pretraining for universal scene emotion perception, 2024

Reference 2

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Observation 52c271be-05ea-4b82-9708-9fd698d7f975 · outbound

This paper cites TGCA-PVT: Topic-guided context-aware pyramid vision transformer for sticker emotion recognition.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition TGCA-PVT: Topic-guided context-aware pyramid vision transformer for sticker emotion recognition

Reference 3

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Observation 6344787d-e654-42d3-95de-caf1bfc1901b · outbound

This paper cites Perceiving causality in character perception: A metaphorical study of causation in film.Metaphor and Symbol, 31:107 – 91, 2016.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Perceiving causality in character perception: A metaphorical study of causation in film.Metaphor and Symbol, 31:107 – 91, 2016

Reference 4

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Observation 36e0f08e-eff4-4222-9a71-f4166b9262b2 · outbound

This paper cites Instructblip: towards general-purpose vision-language models with instruction tuning.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Instructblip: towards general-purpose vision-language models with instruction tuning

Reference 5

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Observation 17cdb531-1a04-4e67-8048-465a31105ed9 · outbound

This paper cites Domain-agnostic mutual prompting for unsu- pervised domain adaptation.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Domain-agnostic mutual prompting for unsu- pervised domain adaptation

Reference 6

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Observation 5563daca-9623-48d0-8c24-396357dc2358 · outbound

This paper cites Boosting object detection with zero-shot day-night domain adaptation.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Boosting object detection with zero-shot day-night domain adaptation

Reference 7

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Observation dd815e80-f9a2-42e8-8c63-61acd759fbfd · outbound

This paper cites Csda: Learning category-scale joint feature for domain adaptive object detection.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Csda: Learning category-scale joint feature for domain adaptive object detection

Reference 8

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Observation 2e58742e-c92e-4341-974e-3a54c16ea484 · outbound

This paper cites Liu, Matthew Peters, Michael Schmitz, and Luke S.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Liu, Matthew Peters, Michael Schmitz, and Luke S

Reference 9

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Observation 92664869-17ec-43df-bfbb-b2600a5e530a · outbound

This paper cites Kingdom: Knowledge-guided domain adaptation for senti- ment analysis.ACL, pages 3198–3210, 2020.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Kingdom: Knowledge-guided domain adaptation for senti- ment analysis.ACL, pages 3198–3210, 2020

Reference 10

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Observation 6a666828-d394-4af0-824b-718b6f47c4aa · outbound

This paper cites Prompting Diffusion Representations for Cross-Domain Semantic Segmentation.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Prompting Diffusion Representations for Cross-Domain Semantic Segmentation

Reference 11

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Observation e4ef989d-ab61-4772-8686-a9b2df05910b · outbound

This paper cites One network for multi-domains: Domain adaptive hashing with intersectant generative adversarial net- work.IJCAI, page 2477–2483, 2019.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition One network for multi-domains: Domain adaptive hashing with intersectant generative adversarial net- work.IJCAI, page 2477–2483, 2019

Reference 12

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Observation dcfb84bf-11e4-45c1-a444-5302bbffb315 · outbound

This paper cites To- wards open-vocabulary scene graph generation with prompt- based finetuning.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition To- wards open-vocabulary scene graph generation with prompt- based finetuning

Reference 13

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Observation c37e7c8c-12ce-4849-aa89-18cb8ee10ebc · outbound

This paper cites Denoising diffu- sion probabilistic models.NeurIPS, 2020.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Denoising diffu- sion probabilistic models.NeurIPS, 2020

Reference 14

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Observation b635d505-124f-4ca3-a9d0-d56bd271a67e · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR,.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Lora: Low-rank adaptation of large language models.ICLR,

Reference 15

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Observation 7e7f37e4-5b5f-4163-8780-233260afedf4 · outbound

This paper cites Busson, ´Alan Livio Guedes, S´ergio Colcher, and Ruy Luiz Milidi´u.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Busson, ´Alan Livio Guedes, S´ergio Colcher, and Ruy Luiz Milidi´u

Reference 16

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Observation 4b6638d7-4162-4763-9a36-3ff67ad7dc1e · outbound

This paper cites Dgin- style: Domain-generalizable semantic segmentation with image diffusion models and stylized semantic control.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Dgin- style: Domain-generalizable semantic segmentation with image diffusion models and stylized semantic control

Reference 17

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Observation 85f8be14-e785-4f3f-b945-8c170529c1bd · outbound

This paper cites Difnet: Semantic segmentation by diffusion networks.NeurIPS, 31, 2018.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Difnet: Semantic segmentation by diffusion networks.NeurIPS, 31, 2018

Reference 18

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Observation 4c90b5dc-fc2d-4f44-bc9d-ec4db18dbd48 · outbound

This paper cites Podia- 3d: Domain adaptation of 3d generative model across large domain gap using pose-preserved text-to-image diffusion.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Podia- 3d: Domain adaptation of 3d generative model across large domain gap using pose-preserved text-to-image diffusion

Reference 19

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Observation 315d86e1-00e1-453c-be94-50e0e2d4a732 · outbound

This paper cites Text-image align- ment for diffusion-based perception.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Text-image align- ment for diffusion-based perception

Reference 20

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Observation ae984ebe-fd08-4e02-bb7a-68a0bdaa31c4 · outbound

This paper cites Padclip: Pseudo-labeling with adaptive debiasing in clip for unsupervised domain adaptation.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Padclip: Pseudo-labeling with adaptive debiasing in clip for unsupervised domain adaptation

Reference 21

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Observation e652fbf2-5078-4b5c-8ad6-75d5279dc6a2 · outbound

This paper cites Diffusiongan3d: Boosting text-guided 3d gen- eration and domain adaptation by combining 3d gans and diffusion priors.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Diffusiongan3d: Boosting text-guided 3d gen- eration and domain adaptation by combining 3d gans and diffusion priors

Reference 22

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Observation d819ca9c-52f6-499b-8625-ed1cb986855d · outbound

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Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Unresolved cited work

Reference 23

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Observation d5f7fbf1-cc17-40a6-b181-02378959aab1 · outbound

This paper cites Split to merge: Unifying separated modalities for unsupervised domain adaptation.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Split to merge: Unifying separated modalities for unsupervised domain adaptation

Reference 24

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This paper cites Feature pyramid networks for object detection.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Feature pyramid networks for object detection

Reference 25

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Observation 8818da89-dac6-4d96-8ae0-2fcacaefb96c · outbound

This paper cites Visual instruction tuning.NeurIPS, 36, 2024.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Visual instruction tuning.NeurIPS, 36, 2024

Reference 26

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Observation 45284e57-d492-47bc-bc8f-44742afdddfe · outbound

This paper cites SER30K: A large-scale dataset for sticker emotion recognition.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition SER30K: A large-scale dataset for sticker emotion recognition

Reference 27

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Observation 1d349a3d-5187-4f5f-b10e-7a2bd9762f8e · outbound

This paper cites Affective image classi- fication using features inspired by psychology and art theory.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Affective image classi- fication using features inspired by psychology and art theory

Reference 28

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Observation d20271aa-371a-40db-9936-bdc15f6c1df0 · outbound

This paper cites Schmidt, and Tim Fingscheidt.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Schmidt, and Tim Fingscheidt

Reference 29

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Observation 584a7432-e040-41c6-8408-e0d2b8bc3100 · outbound

This paper cites Roy-Chowdhury.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Roy-Chowdhury

Reference 30

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Observation e50cfdd4-4a2b-43f5-8cbe-31193d5332e7 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Pytorch: An imperative style, high-performance deep learning library

Reference 31

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Observation 2268ea21-4a69-407c-bb4a-55070f33285b · outbound

This paper cites Models, reasoning and inference.Cam- bridge, UK: CambridgeUniversityPress, 19(2):3, 2000.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Models, reasoning and inference.Cam- bridge, UK: CambridgeUniversityPress, 19(2):3, 2000

Reference 32

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raw_fallback, observed 2026-08-07T14:14:51.080966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:42.802258Z digest=sha256:5b7b6a11b77d815dda5bae6dd5518161ddd50a4b38ddcbe90a16450b7ba8583a

Observation ed7d3b33-1fe2-4360-ba5f-64c8e142ffb6 · outbound

This paper cites Flype: Multitask prompt tuning for multimodal human understanding of social media.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Flype: Multitask prompt tuning for multimodal human understanding of social media

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:50.834784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:42.930489Z digest=sha256:a1397dea6d40d954c431a5e80cfd1d7a7ed0215e9503595f53d3c7b8f6c00af2

Observation a9b6a9d5-29ba-435b-ad20-f746ecf89cb3 · outbound

This paper cites Gallagher.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Gallagher

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:50.607763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:42.997363Z digest=sha256:d087bbd0071dbd2d40544981747a2ccda20cf6947d026e9ddce3c0e94dbf0cba

Observation b4f2b14b-029f-45e0-843d-63aeb5d8d08a · outbound

This paper cites Where do emotions come from? predicting the emotion stimuli map.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Where do emotions come from? predicting the emotion stimuli map

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:50.344752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:43.083453Z digest=sha256:8fce3c5ac25a824289f4b1608b8a3607ef79da4168e5cf48e23a637bf26125b1

Observation 0a3cc9f9-0444-498a-b722-b5dc00a9d1ea · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:43.158515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:43.158515Z digest=sha256:8960bee9e30810139d5ac862cc61e89646981115dd6e169aff6b01831b214434

Observation 8ca4504b-a1ea-449f-a5df-3765b841b0f4 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition High-resolution image syn- thesis with latent diffusion models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:50.145708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:43.236613Z digest=sha256:a1c14ef0d0ae58c6a1275308b193543bec8f4ccda9d022bc0743eacb30b5bcd7

Observation f934d2b2-61f5-4cc3-b524-c09180633f99 · outbound

This paper cites Rosin, and Liang Wang.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Rosin, and Liang Wang

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:49.936038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:43.285648Z digest=sha256:d53da710edc366233ebaf0df2e589512e3704982efc6919eeb03eb2b9963a842

Observation 5592426a-b67d-4d4f-9c35-49ca29740af6 · outbound

This paper cites Ad-clip: Adapting domains in prompt space using clip.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Ad-clip: Adapting domains in prompt space using clip

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:49.728728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:43.344187Z digest=sha256:297e8fc6e5c76e2fe86caa63d1cb074ccd5201854bf4588b8bed47e37505c63e

Observation 97a5a24e-7b55-44ff-9d99-b1b7b214abad · outbound

This paper cites Deep discrete hashing with self-supervised pairwise labels.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Deep discrete hashing with self-supervised pairwise labels

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:49.508838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:43.400669Z digest=sha256:5f96a2adeeaf2c2abf815a6467655c9365578fc141333f6be57521b008e67fc9

Observation 590cde79-cdae-4102-af9a-717c2531dc43 · outbound

This paper cites SKEP: Sentiment knowl- edge enhanced pre-training for sentiment analysis.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition SKEP: Sentiment knowl- edge enhanced pre-training for sentiment analysis

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:49.279607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:43.461263Z digest=sha256:635440cfbcc6137cf7aa54ec0309d474c9934bc0dc499d00339fa87be5e90f24

Observation 72674baa-836d-43c9-a8c9-1163322f4532 · outbound

This paper cites Neural discrete representation learning.NeurIPS, 30, 2017.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Neural discrete representation learning.NeurIPS, 30, 2017

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:49.057783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:43.504170Z digest=sha256:8af9b95b97a58b24ad1dee02368ceb2652d5d01d9f377fbc5fb5f14e10107e66

Observation e87a55ca-35b8-47f3-ab41-23f670dc6e24 · outbound

This paper cites Visualizing data using t-sne.JMLR, 9(11), 2008.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Visualizing data using t-sne.JMLR, 9(11), 2008

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:48.828546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:43.553869Z digest=sha256:fb6c776abfd1959514480dee675cd1f0b52c3dbad2e290a76fad040a17dc0e95

Observation a7fe95c0-b04c-472c-b58f-9490558ec40d · outbound

This paper cites Attention is all you need.NeurIPS, 30, 2017.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Attention is all you need.NeurIPS, 30, 2017

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:43.611471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:43.611471Z digest=sha256:8fb44cf63906e3c3c168bb4132f1f46b875c3a2f3cc4e28d30fb055cc83debca

Observation 1c115e0d-b149-493c-b72c-a076d632a586 · outbound

This paper cites Metaalign: Coordinating domain alignment and classifica- tion for unsupervised domain adaptation.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Metaalign: Coordinating domain alignment and classifica- tion for unsupervised domain adaptation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:48.564114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:43.664539Z digest=sha256:b36fa6c74028335c0f681719fc3ecff60daa80ade2a4e5495e6ba48f57d352e0

Observation 90056322-b70c-4348-b25b-19a4e62cc8a7 · outbound

This paper cites Imagine that! abstract-to-intricate text-to-image syn- thesis with scene graph hallucination diffusion.NeurIPS, 36,.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Imagine that! abstract-to-intricate text-to-image syn- thesis with scene graph hallucination diffusion.NeurIPS, 36,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:48.404803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:43.744936Z digest=sha256:53836f0a8b291a754ce53cd7c4d8996861298dbf3964d39ef2d951cd809bfaa8

Observation 141e5ff5-f365-4ecb-948c-52f5828c36c4 · outbound

This paper cites Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:48.235527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:43.884658Z digest=sha256:7a58444b43251dd6f87a6d429678e69fb247477bee7573d15ad1daa53e849ea4

Observation 6cac7199-0b3b-46d1-82cd-de77c6b0156b · outbound

This paper cites Emovit: Revolutionizing emotion insights with vi- sual instruction tuning.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Emovit: Revolutionizing emotion insights with vi- sual instruction tuning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:48.066866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:44.082231Z digest=sha256:27dda9c2421487d562a709656a9de750c9783a9bc3d5261399a4d7641ffd2d19

Observation a46f0c50-cb89-4097-b402-cd14eb9151b4 · outbound

This paper cites MDAN: multi-level dependent attention network for visual emotion analysis.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition MDAN: multi-level dependent attention network for visual emotion analysis

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:47.933362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:44.179957Z digest=sha256:ee6735189ef164bed9a770295498696621dcf6baa4f3ea1e1cb009845735547a

Observation 4df1a523-28e7-4b63-9663-e208fde2341b · outbound

This paper cites Robust emotion recog- nition in context debiasing.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Robust emotion recog- nition in context debiasing

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:47.756380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:44.311229Z digest=sha256:62ea02a1818c64db35c62914b6a651b1208cbfb2853a4ce8af57692276fcf371

Observation ba386c3b-62f4-4238-acfe-32c59c838cb9 · outbound

This paper cites Stimuli-aware visual emotion analysis.IEEE TIP, 30:7432–7445, 2021.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Stimuli-aware visual emotion analysis.IEEE TIP, 30:7432–7445, 2021

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:47.597226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:44.452542Z digest=sha256:f58747d11e322e71207b0690dd738065770879edcd64d6e9070a482d58a6d399

Observation e4e70c4e-daec-4e1b-b48a-0e4284934f87 · outbound

This paper cites Emoset: A large- scale visual emotion dataset with rich attributes.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Emoset: A large- scale visual emotion dataset with rich attributes

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:47.360967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:44.601550Z digest=sha256:fa47c883b85c5f4c56b1a452aefde718544de8d470f31ee31232a474d2f9d1b2

Observation 1f7a40f5-ca07-4e39-805f-c644f5f09582 · outbound

This paper cites Emogen: Emo- tional image content generation with text-to-image diffusion models.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Emogen: Emo- tional image content generation with text-to-image diffusion models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:47.154575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:44.749948Z digest=sha256:bff60d4076592cea1d5462fd22e2199af9edb74b9e590f62b0c80e1e41136576

Observation 58252644-6b6d-4f4f-9d33-a1423eccbfe2 · outbound

This paper cites Visual sentiment analysis by attending on local image regions.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Visual sentiment analysis by attending on local image regions

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:46.979820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:44.896223Z digest=sha256:1c2d4007202aa353500763e494dae1256a1043732cd71e9c17adf9d27eac137b

Observation d6bad192-53c6-4d76-9570-d497c18a1265 · outbound

This paper cites Zero-shot emotion recognition via affec- tive structural embedding.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Zero-shot emotion recognition via affec- tive structural embedding

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:46.767160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:45.013929Z digest=sha256:8b6a7bfa67e6e1a690aeef93052ac6346b8ee8dd109b9870c6d14a3f7f81342c

Observation 09efe03d-4b48-4652-bcca-295fe04079d6 · outbound

This paper cites Learning emo- tion representations from verbal and nonverbal communica- tion.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Learning emo- tion representations from verbal and nonverbal communica- tion

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:46.567114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:45.104802Z digest=sha256:92f1ac4adeb045de94cc72b7f0b16ed3c3281d1770a3949b6fe533c2f30201c9

Observation 3219b782-3187-4b58-8a04-e137a074ca12 · outbound

This paper cites Pdanet: Polarity-consistent deep attention network for fine-grained visual emotion regression.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Pdanet: Polarity-consistent deep attention network for fine-grained visual emotion regression

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:46.396004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:45.186362Z digest=sha256:c2c5a703dea98ec636abd7e792db39f1c6a9a600952102bfff32c6ada88df8d9

Observation c8345f1f-9fad-410a-88ab-546a129585d3 · outbound

This paper cites Cycleemotiongan: Emotional semantic consistency preserved cyclegan for adapting image emotions.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Cycleemotiongan: Emotional semantic consistency preserved cyclegan for adapting image emotions

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:46.246924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:45.271887Z digest=sha256:f7a5e61c1561c35b9b47adec3227b77cb827c3010fb4ac5caadf68722f6d0087

Observation af660e4b-b24b-431b-af18-e009589c03c7 · outbound

This paper cites Sticker820K: Empowering Interactive Retrieval with Stickers.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Sticker820K: Empowering Interactive Retrieval with Stickers

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:45.368377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:45.368377Z digest=sha256:0064c471cad102a1241eecc449d6f20353b55ad6abc22694cada8ede87b01eb1

Observation eb379445-b8d0-442e-a210-8483d8c93ce9 · outbound

This paper cites Unleashing text-to-image diffusion models for visual perception.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Unleashing text-to-image diffusion models for visual perception

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:46.116676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:45.436854Z digest=sha256:67be8442690ab49655ef38f9e43e9a71050a3a6895b743a862491efa775d2fcd

Observation bd24879e-6156-4100-b583-c268b08286c2 · outbound

This paper cites A fa- cial expression-aware multimodal multi-task learning frame- work for emotion recognition in multi-party conversations.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition A fa- cial expression-aware multimodal multi-task learning frame- work for emotion recognition in multi-party conversations

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:45.972224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:45.557229Z digest=sha256:0e23eee0d76f61dd6f2809d6a515743eba5e549c696fdba838a62c007edc4f10

Observation b5536fa0-70fe-4335-a2f8-c964d1bc1cae · outbound

This paper cites Bridge then begin anew: Generating target-relevant interme- diate model for source-free visual emotion adaptation.AAAI,.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Bridge then begin anew: Generating target-relevant interme- diate model for source-free visual emotion adaptation.AAAI,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:45.812684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:14:45.630980Z digest=sha256:12e226e94c54fd6bfa94540f626507306ac4fd2d5a6d7f097980d1794f615340

Pith citing papers

No inbound Pith citation observations are available.