Sound events in daily life carry rich information about the objective wo...
Verbal and non-verbal human reaction generation is a challenging task, a...
The Multi-modal Multiple Appropriate Facial Reaction Generation Challeng...
In dyadic interaction, predicting the listener's facial reactions is
cha...
Generating facial reactions in a human-human dyadic interaction is compl...
This paper presents our Facial Action Units (AUs) recognition submission...
According to the Stimulus Organism Response (SOR) theory, all human
beha...
Unsupervised image registration commonly adopts U-Net style networks to
...
Graph is powerful for representing various types of real-world data. The...
Most existing deep learning-based acoustic scene classification (ASC)
ap...
Personality is crucial for understanding human internal and external sta...
Traditional pixel-wise image attack algorithms suffer from poor robustne...
The activations of Facial Action Units (AUs) mutually influence one anot...
Video-based automatic depression analysis provides a fast, objective and...
Unlike the six basic emotions of happiness, sadness, fear, anger, disgus...
This approach builds on two following findings in cognitive science: (i)...
The EmoPain 2020 Challenge is the first international competition aimed ...
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mi...
Facial actions are spatio-temporal signals by nature, and therefore thei...
The performance of speaker-related systems usually degrades heavily in
p...