Multimodal audio-visual information fusion using canonical-correlated graph neural network for energy-efficient speech enhancement
This paper proposes a novel multimodal self-supervised architecture for energy-efficient
audio-visual (AV) speech enhancement that integrates Graph Neural Networks with …
audio-visual (AV) speech enhancement that integrates Graph Neural Networks with …
Emotion dictionary learning with modality attentions for mixed emotion exploration
Multi-modal emotion analysis, as an important direction in affective computing, has attracted
increasing attention in recent years. Most existing multi-modal emotion recognition studies …
increasing attention in recent years. Most existing multi-modal emotion recognition studies …
A novel generative adversarial network‐based super‐resolution approach for face recognition
Face recognition is an essential feature required for a range of computer vision applications
such as security, attendance systems, emotion detection, airport check‐in, and many others …
such as security, attendance systems, emotion detection, airport check‐in, and many others …
Optimization of Suzhou Garden Infrastructure Layout Based on Federal Learning
M Li - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Along with the accelerating urbanization process in China, the problem of urban
infrastructure layout has become increasingly prominent. The high density of buildings and …
infrastructure layout has become increasingly prominent. The high density of buildings and …