Since the start of the COVID-19 pandemic, social distancing (SD) has played an essential
role in controlling and slowing down the spread of the virus in smart cities. To ensure the …

Deepfakes are the result of digital manipulation to forge realistic yet fake imagery. With the
astonishing advances in deep generative models, fake images or videos are nowadays …

Deep learning-based methods for video pedestrian detection and tracking require large
volumes of training data to achieve good performance. However, data acquisition in …

Under the domain shift, cross-domain few-shot object detection aims to adapt object
detectors in the target domain with a few annotated target data. There exists two significant …

To simultaneously estimate the number of heads and locate heads with bounding boxes, we
resort to detection-based crowd counting by leveraging RGB-D data and design a dual-path …

The Transformer architecture has witnessed a rapid development in recent years,
outperforming the CNN architectures in many computer vision tasks, as exemplified by the …

In this work, we study few-shot domain adaptive object detection (FSDAOD), where only a
few target labeled images are available for training in addition to sufficient source labeled …

Image synthesis designed for machine learning applications provides the means to
efficiently generate large quantities of training data while controlling the generation process …

The automatic detection of violent actions in public places through video analysis is difficult
because the employed Artificial Intelligence-based techniques often suffer from …

Abstract Modern Unmanned Aerial Vehicles (UAV) equipped with cameras can play an
essential role in speeding up the identification and rescue of people who have fallen …