1 citations · 2 across the 7 of their papers we have counts for
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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…
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…
An Empirical Study of Super-resolution on Low-resolution Micro-expression Recognition
Ling Zhou, Mingpei Wang, Xiaohua Huang +3
Micro-expression recognition (MER) in low-resolution (LR) scenarios presents an important and complex challenge, particularly for practical applications such as group MER in crowde…
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…