Papers Emotion Interpretation
“Emotion Interpretation” 태그가 달린 논문 10편 · 필터 해제
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 RecognitionHuman Emotion Classification based on EEG Signals Using Recurrent Neural Network And KNN
In human contact, emotion is very crucial. Attributes like words, voice intonation, facial expressions, and kinesics can all be used to portray one's feelings. However, brain-computer interface (BCI) devices have not yet…
Brain Computer Interfacechannel selectionEEGElectroencephalogram (EEG)+2Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech
In expressive speech synthesis, there are high requirements for emotion interpretation. However, it is time-consuming to acquire emotional audio corpus for arbitrary speakers due to their deduction ability. In response t…
Emotion InterpretationExpressive Speech SynthesisSpeech Synthesistext-to-speech+1Pose-based Body Language Recognition for Emotion and Psychiatric Symptom Interpretation
Inspired by the human ability to infer emotions from body language, we propose an automated framework for body language based emotion recognition starting from regular RGB videos. In collaboration with psychologists, we …
Action RecognitionEmotion InterpretationEmotion RecognitionEDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators
The recognition of emotion and dialogue acts enriches conversational analysis and help to build natural dialogue systems. Emotion interpretation makes us understand feelings and dialogue acts reflect the intentions and p…
Dialogue Act ClassificationEmotional Dialogue ActsEmotion ClassificationEmotion Interpretation+4