3 papers
cs.CV2025
Incorporating Scene Context and Semantic Labels for Enhanced Group-level Emotion Recognition
Qing Zhu, Wangdong Guo, Qirong Mao +3
Group-level emotion recognition (GER) aims to identify holistic emotions within a scene involving multiple individuals. Current existed methods underestimate the importance of visu…
cs.CV2025
Towards A Robust Group-level Emotion Recognition via Uncertainty-Aware Learning
Qing Zhu, Qirong Mao, Jialin Zhang +2
Group-level emotion recognition (GER) is an inseparable part of human behavior analysis, aiming to recognize an overall emotion in a multi-person scene. However, the existing metho…
cs.CV2024
A Survey of Deep Learning for Group-level Emotion Recognition
Xiaohua Huang, Jinke Xu, Wenming Zheng +2
With the advancement of artificial intelligence (AI) technology, group-level emotion recognition (GER) has emerged as an important area in analyzing human behavior. Early GER metho…