Understanding actions in videos remains a significant challenge in computer vision, which
has been the subject of several pieces of research in the last decades. Convolutional neural …

With the advancement of maritime unmanned aerial vehicles (UAVs) and deep learning
technologies, the application of UAV-based object detection has become increasingly …

The performance of face recognition system degrades when the variability of the acquired
faces increases. Prior work alleviates this issue by either monitoring the face quality in pre …

This article presents FRCSyn-onGoing, an ongoing challenge for face recognition where
researchers can easily benchmark their systems against the state of the art in an open …

Synthetic data is gaining increasing relevance for training machine learning models. This is
mainly motivated due to several factors such as the lack of real data and intra-class …

Abstract The big Artificial General Intelligence models inspire hot topics currently. The black
box problems of Artificial Intelligence (AI) models still exist and need to be solved urgently …

The success of deep learning based face recognition systems has given rise to serious
privacy concerns due to their ability to enable unauthorized tracking of users in the digital …

Despite the fact that Artificial Intelligence (AI) has boosted the achievement of remarkable
results across numerous data analysis tasks, however, this is typically accompanied by a …

Despite the widespread adoption of face recognition technology around the world, and its
remarkable performance on current benchmarks, there are still several challenges that must …

Visible-infrared recognition (VI recognition) is a challenging task due to the enormous visual
difference across heterogeneous images. Most existing works achieve promising results by …