2 citations · 6 across the 7 of their papers we have counts for
7 papers
7ABAW-Compound Expression Recognition via Curriculum Learning
Chen Liu, Feng Qiu, Wei Zhang +3
With the advent of deep learning, expression recognition has made significant advancements. However, due to the limited availability of annotated compound expression datasets and t…
Affective Behaviour Analysis via Progressive Learning
Chen Liu, Wei Zhang, Feng Qiu +2
Affective Behavior Analysis aims to develop emotionally intelligent technology that can recognize and respond to human emotions. To advance this field, the 7th Affective Behavior A…
Affective Behaviour Analysis via Integrating Multi-Modal Knowledge
Wei Zhang, Feng Qiu, Chen Liu +4
Affective Behavior Analysis aims to facilitate technology emotionally smart, creating a world where devices can understand and react to our emotions as humans do. To comprehensivel…
Multi-modal Facial Affective Analysis based on Masked Autoencoder
Wei Zhang, Bowen Ma, Feng Qiu +1
Human affective behavior analysis focuses on analyzing human expressions or other behaviors to enhance the understanding of human psychology. The CVPR 2023 Competition on Affective…
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…
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…
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…