Papers Emotion Recognition in Context
“Emotion Recognition in Context” 태그가 달린 논문 9편 · 필터 해제
A Controlled Study of CLIP-Based Body-Scene Fusion for Emotion Recognition in Context
Apparent emotion in natural images is often not visible from the face alone. The face may be small, hidden, or neutral, while posture and scene context carry much of the evidence. This work studies context-aware emotion …
Emotion Recognition in ContextVLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning
Recognising emotions in context involves identifying the apparent emotions of an individual, taking into account contextual cues from the surrounding scene. Previous approaches to this task have involved the design of ex…
Common Sense ReasoningEmotion ClassificationEmotion Recognition in ContextRobust Emotion Recognition in Context Debiasing
Context-aware emotion recognition (CAER) has recently boosted the practical applications of affective computing techniques in unconstrained environments. Mainstream CAER methods invariably extract ensemble representation…
counterfactualEmotion RecognitionEmotion Recognition in ContextLearning Emotion Representations from Verbal and Nonverbal Communication
Emotion understanding is an essential but highly challenging component of artificial general intelligence. The absence of extensively annotated datasets has significantly impeded advancements in this field. We present Em…
Contrastive LearningEmotion RecognitionEmotion Recognition in ContextLeveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild
In this work we tackle the task of video-based visual emotion recognition in the wild. Standard methodologies that rely solely on the extraction of bodily and facial features often fall short of accurate emotion predicti…
Emotion RecognitionEmotion Recognition in ContextOptical Flow EstimationContext Based Emotion Recognition using EMOTIC Dataset
In our everyday lives and social interactions we often try to perceive the emotional states of people. There has been a lot of research in providing machines with a similar capacity of recognizing emotions. From a comput…
Emotion RecognitionEmotion Recognition in ContextEmotiCon: Context-Aware Multimodal Emotion Recognition using Frege's Principle
We present EmotiCon, a learning-based algorithm for context-aware perceived human emotion recognition from videos and images. Motivated by Frege's Context Principle from psychology, our approach combines three interpreta…
Emotion RecognitionEmotion Recognition in ContextMultimodal Emotion RecognitionContext-Aware Emotion Recognition Networks
Traditional techniques for emotion recognition have focused on the facial expression analysis only, thus providing limited ability to encode context that comprehensively represents the emotional responses. We present dee…
Emotion ClassificationEmotion RecognitionEmotion Recognition in ContextEmotion Recognition in Context
Understanding what a person is experiencing from her frame of reference is essential in our everyday life. For this reason, one can think that machines with this type of ability would interact better with people. However…
Emotion RecognitionEmotion Recognition in Context