{"total":17,"rows":[{"id":"2305.02572","title":"High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning","created":"2023-05-04","cited_by_count":37,"area":null},{"id":"2205.14727","title":"CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI","created":"2022-05-29","cited_by_count":26,"area":null},{"id":"2206.05833","title":"COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition","created":"2022-06-12","cited_by_count":22,"area":null},{"id":"2505.19328","title":"BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change","created":"2025-05-25","cited_by_count":14,"area":null},{"id":"2307.13463","title":"Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion","created":"2023-07-25","cited_by_count":12,"area":null},{"id":"2304.02187","title":"Bodily expressed emotion understanding through integrating Laban movement analysis","created":"2023-04-05","cited_by_count":3,"area":null},{"id":"2409.18877","title":"UniEmoX: Cross-modal Semantic-Guided Large-Scale Pretraining for Universal Scene Emotion Perception","created":"2024-09-27","cited_by_count":3,"area":null},{"id":"2604.11730","title":"Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions","created":"2026-04-13","cited_by_count":3,"area":null},{"id":"2407.05550","title":"MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning","created":"2024-07-08","cited_by_count":2,"area":null},{"id":"2410.15029","title":"Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-Attention","created":"2024-10-19","cited_by_count":2,"area":null},{"id":"2502.13954","title":"Latent Distribution Decoupling: A Probabilistic Framework for Uncertainty-Aware Multimodal Emotion Recognition","created":"2025-02-19","cited_by_count":2,"area":null},{"id":"2511.17103","title":"Bridging Visual Affective Gap: Borrowing Textual Knowledge by Learning from Noisy Image-Text Pairs","created":"2025-11-21","cited_by_count":2,"area":null},{"id":"2602.09121","title":"Uncertainty-Aware Multimodal Emotion Recognition through Dirichlet Parameterization","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2505.21792","title":"Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2507.11202","title":"A Robust Incomplete Multimodal Low-Rank Adaptation Approach for Emotion Recognition","created":"2025-07-15","cited_by_count":0,"area":null},{"id":"2605.15734","title":"Can We Trust AI-Inferred User States. A Psychometric Framework for Validating the Reliability of Users States Classification by LLMs in Operational Environments","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2607.09417","title":"SVF-CR: Synchronized Visual-Facial Cross-Refinement for Multimodal Ambivalence and Hesitancy Recognition","created":"2026-07-10","cited_by_count":0,"area":null}],"next_cursor":null}