Multimodal face anti-spoofing systems adopt multiple sensor modalities, such as infrared,
color, depth, and thermal, to distinguish between living and spoofing faces via …

It is a challenging task to devise an effective model for object segmentation considering
numerous classes because different classes might have different features and different …

This paper introduces a novel approach for improving gas source localization in dynamic
urban environments, employing a swarm of nano-Crazyflie drones through a hybrid strategy …

Abstract Machine learning contributes in improving the accuracy of melanoma detection.
There are extensive studies in classic and deep learning-based approaches for melanoma …

In recent years, deep neural networks (DNNs) have provided high performances for various
tasks, such as human activity recognition (HAR), in view of their end-to-end training process …

Lip reading, the art of deciphering spoken words from the visual cues of lip movements, has
garnered significant interest for its potential applications in diverse fields, including assistive …

Context understanding is important for salient object detection (SOD) in complex scenes. To
alleviate visual confusion, we propose a context aware network that full use of the same type …

Faces are a crucial environmental trigger. They communicate information about several key
features, including identity. However, the 2019 coronavirus pandemic (COVID-19) …

In assisted living facilities or nursing homes, residents' movements or actions can be
monitored using Human Activity Recognition (HAR), ensuring they receive proper care and …

We propose original semantic labels for detailed face parsing to improve the accuracy of
face recognition by focusing on parts in a face. The part labels used in conventional face …