Audio Description (AD) is the task of generating descriptions of visual content, at suitable
time intervals, for the benefit of visually impaired audiences. For movies, this presents …

Deep Learning (DL) has shown great promise in the unsupervised task of clustering. That
said, while in classical (ie, non-deep) clustering the benefits of the nonparametric approach …

Open intent classification is a challenging task in dialogue systems. On the one hand, it
should ensure the quality of known intent identification. On the other hand, it needs to detect …

TV shows depict a wide variety of human behaviors and have been studied extensively for
their potential to be a rich source of data for many applications. However, the majority of the …

Few-shot classification is the task of predicting the category of an example from a set of few
labeled examples. The number of labeled examples per category is called the number of …

With the rise of social media platforms, tourists tend to share their experiences in the form of
texts, photos, and videos on social media. These user-generated contents (UGC) play an …

Interactions between people are often governed by their relationships. On the flip side,
social relationships are built upon several interactions. Two strangers are more likely to …

Audio-visual speaker diarization aims at detecting" who spoke when''using both auditory
and visual signals. Existing audio-visual diarization datasets are mainly focused on indoor …

Face clustering has important applications in image retrieval and criminal investigation.
Face images can be seen as the nodes of a graph and the possibility of links between the …

Clustering algorithms play a fundamental role as tools in decision-making and sensible
automation processes. Due to the widespread use of these applications, a robustness …