The field of open-domain conversation generation using deep neural networks has attracted increasing attention from researchers for several years. However, traditional neural language models tend to generate safe, generic reply with poor logic and no e…
Although being a frequently occurring phenomenon in spoken communication, speech overlaps did not obtain the deserved attention in research so far—in both Human-Human Interaction (HHI) and Human-Computer Interaction (HCI). It is common knowledge…
Encoding the facial expression dynamics is efficient in classifying and recognizing facial expressions. Most facial dynamics-based methods assume that a sequence is temporally segmented before prediction. This requires the prediction to wait until a fu…
Depression is a mental disorder characterized by persistent low mood that affects a person’s thoughts, behavior, feelings, and sense of well-being. According to the World Health Organization (WHO), depression will become the second major life-th…
In this paper, we develop a new method that recognizes facial expressions, on the basis of an innovative Local Motion Patterns (LMP) feature. The LMP feature analyzes locally the motion distribution in order to separate consistent mouvement patterns fr…
Facial beauty prediction (FBP) aims to automatically assess facial attractiveness consistently with judgements based on human perception. Most of previous methods formulate FBP as a classification, regression or ranking problem of machine learning. How…
This work shows that fillers – short utterances like “ehm” and “uhm” – allow one to predict whether someone is above median along the Big-Five personality traits. The experiments have been performed over a corpus of 2,988 fi…
In recent years, the use of bio-sensing signals such as electroencephalogram (EEG), electrocardiogram (ECG), etc. have garnered interest towards applications in affective computing. The parallel trend of deep-learning has led to a huge leap in performa…
Personality analysis has been widely studied in psychology, neuropsychology, and signal processing fields, among others. From the past few years, it also became an attractive research area in visual computing. From the computational point of view, by f…
Nowadays, mining opinions or sentiment from online user-generated text has become a research hot spot. Although a large amount of lexicon-based Chinese polarity detection works have been done, the existing methods have one common flaw: that even the sa…