2 citations · 6 across the 7 of their papers we have counts for
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cs.AI2022★ 1 cited
InterMulti:Multi-view Multimodal Interactions with Text-dominated Hierarchical High-order Fusion for Emotion Analysis
Feng Qiu, Wanzeng Kong, Yu Ding
Humans are sophisticated at reading interlocutors' emotions from multimodal signals, such as speech contents, voice tones and facial expressions. However, machines might struggle t…
cs.LG2022★ 2 cited
EffMulti: Efficiently Modeling Complex Multimodal Interactions for Emotion Analysis
Feng Qiu, Chengyang Xie, Yu Ding +1
Humans are skilled in reading the interlocutor's emotion from multimodal signals, including spoken words, simultaneous speech, and facial expressions. It is still a challenge to ef…
cs.CV2022★ 1 cited
Transformer-based Multimodal Information Fusion for Facial Expression Analysis
Wei Zhang, Feng Qiu, Suzhen Wang +5
Human affective behavior analysis has received much attention in human-computer interaction (HCI). In this paper, we introduce our submission to the CVPR 2022 Competition on Affect…