Emotion Interpretation
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Benchmarks
EIBench
EIBench (complex)
Most implemented
Papers
MVEI & EmObserver: Empowering MLLM-Oriented Visual Emotional Intelligence via Emotion Statement Judgement
Affective Image Content Analysis (AICA) aims to recognize and understand emotions elicited by visual content, representing an indispensable step toward Artificial General Intelligence (AGI). However, despite the rapid pr…
Emotional IntelligenceEmotion Interpretation"I'm Not Mad, Just Focused'': Understanding Human Emotions in Human-Robot Collaboration
Human-robot collaboration (HRC) can benefit from robots' abilities to interpret human emotional states. However, current emotion recognition (ER) models in HRC often fall short, particularly due to their reliance on acte…
Emotion InterpretationEmotion RecognitionSemantic SimilarityCustomizing Visual Emotion Evaluation for MLLMs: An Open-vocabulary, Multifaceted, and Scalable Approach
Recently, Multimodal Large Language Models (MLLMs) have achieved exceptional performance across diverse tasks, continually surpassing previous expectations regarding their capabilities. Nevertheless, their proficiency in…
Emotion InterpretationEmotional IntelligenceGraph Representations for Reading Comprehension Analysis using Large Language Model and Eye-Tracking Biomarker
Reading comprehension is a fundamental skill in human cognitive development. With the advancement of Large Language Models (LLMs), there is a growing need to compare how humans and LLMs understand language across differe…
Emotion InterpretationReading ComprehensionInformation RetrievalEmoSEM: Segment and Explain Emotion Stimuli in Visual Art
This paper focuses on a key challenge in visual art understanding: given an art image, the model pinpoints pixel regions that trigger a specific human emotion, and generates linguistic explanations for the emotional arou…
Emotion InterpretationSegmentationWhy We Feel: Breaking Boundaries in Emotional Reasoning with Multimodal Large Language Models
Most existing emotion analysis emphasizes which emotion arises (e.g., happy, sad, angry) but neglects the deeper why. We propose Emotion Interpretation (EI), focusing on causal factors-whether explicit (e.g., observable …
Emotion InterpretationEmotion Recognition