One's internal state is mainly communicated through nonverbal cues, such as facial
expressions, gestures and tone of voice, which in turn shape the corresponding emotional …

Products global demand constantly grows, along with drifts of the volume of waste produced,
thus having a negative impact on the environment. Besides the advancement of artificial …

While there exist several approaches for autonomous exploration of confined spaces, when
it comes to inspection tasks, there are not many works that take into account the actual …

The exploitation of deep neural networks (DNNs) as descriptors in feature learning
challenges enjoys apparent popularity over the past few years. The above tendency focuses …

As the aged population is rapidly increased, the need for efficient and low-cost ambient
systems becomes vital. The effectiveness of such systems lies upon the accurate and fast …

Visual place recognition is a core component of visual information analysis, which serves for
the position and orientation perception of autonomous driving and robotics. The current …

The early 21st-century technological advancements tilted the scales towards data-driven
learning. Thus, modern machine-learning systems rely heavily on data to learn complex …

Learning discriminative features with adversarial behaviors can be extremely challenging to
build a robust learning model. This is partly evidenced by the difficulties in training robust …

Recognizing when a robot is navigating in a previously visited location, known as loop
closure detection, constitutes an essential task within any simultaneous localization and …

Mining Web data to create AI-usable datasets, is still non-trivial. Unfortunately, despite the
free data access, the formation of a dataset useful for machine learning applications cannot …