5 papers
EMMR: Emotion-Mediated Multimodal Reasoning for Personality Assessment in Asynchronous Video Interviews
Dongsheng Hu, Tianyi Zhang, Chuang Liu +3
Asynchronous Video Interviews (AVIs) have become increasingly popular for personality assessment. Recent large language models (LLMs) have shown potential for personality assessmen…
PC-MNet: Dual-Level Congruity Modeling for Multimodal Sarcasm Detection via Polarity-Modulated Attention
Maoheng Li, Ling Zhou, Xiaohua Huang +3
Multimodal sarcasm detection, which aims to precisely identify pragmatic incongruities between literal text and nonverbal cues, has gained substantial attention in multimodal under…
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…
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…
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…