1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement
Jinming Ma, Feng Wu, Yingfeng Chen +2
Many real-world applications require an agent to make robust and deliberate decisions with multimodal information (e.g., robots with multi-sensory inputs). However, it is very chal…
cs.AI2022
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
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…