Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:45.630980Z
Paper Citation Record · LEDGER
Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition
As of 8 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
62 of 62 outbound references displayed
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- verified fuzzy53
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External citation measurements
No source-named external measurement is stored.
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
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:55.833122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:55.599615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:55.513863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:55.422530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:55.255777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:55.125904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:54.937915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- unresolved
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Source-reported events for the cited work
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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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:54.550890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:54.240287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:53.999519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:53.733603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:53.576139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:53.346203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:53.085119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:52.840142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:52.663548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d819ca9c-52f6-499b-8625-ed1cb986855d · outbound
This paper cites an unresolved cited work.
Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:14:52.460285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:52.277424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fab1e0e1-b0b3-4a2a-8877-60440665d796 · outbound
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:52.018156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:51.846676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:51.629495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:51.438802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:14:51.276933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- 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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
Observation a9b6a9d5-29ba-435b-ad20-f746ecf89cb3 · outbound
This paper cites 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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.