Emotion Recognition in Context
5 papers with code • 4 benchmarks • 6 datasets
Most implemented papers
Context Based Emotion Recognition using EMOTIC Dataset
In this paper we present EMOTIC, a dataset of images of people in a diverse set of natural situations, annotated with their apparent emotion.
Context-Aware Emotion Recognition Networks
We present deep networks for context-aware emotion recognition, called CAER-Net, that exploit not only human facial expression but also context information in a joint and boosting manner.
Leveraging 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.
Learning Emotion Representations from Verbal and Nonverbal Communication
We present EmotionCLIP, the first pre-training paradigm to extract visual emotion representations from verbal and nonverbal communication using only uncurated data.
VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning
In the first stage, we propose prompting VLLMs to generate descriptions in natural language of the subject's apparent emotion relative to the visual context.