Monocular Re-Localization (MRL) is an essential component in autonomous applications,
estimating 6 degree-of-freedom ego poses wrt the scene map using monocular images …

With the proliferation of face image manipulation (FIM) techniques such as Face2Face and
Deepfake, more fake face images are spreading over the internet, which brings serious …

Nowadays, the use of Convolutional Neural Networks (CNNs) has led to tremendous
achievements in several computer vision challenges. CNN-based image retrieval methods …

In the area of machine learning and pattern recognition, object classification is getting an
attraction due to its range of applications such as visual surveillance. In recent times …

Nowadays, massive user-generated images (UGIs) are posted online to convey users'
experiences with specific brands or products. Thus, this visual information is precious, as it …

Community detection is a fundamental problem for many networks, and many methods have
been proposed to resolve it. However, due to rapid increases in the scale and diversity of …

Wear indicators (WIs) attempt to identify historical and ongoing degradation processes by
extracting features from acquired data. The quality of the constructed WIs affects the validity …

Improving the explainability of Computer Vision models based on Deep Learning has
recently become a compelling problem, ensuring reliable predictions to the end-user and …

The objective of multimodal information fusion is to mathematically analyze information
carried in different sources and create a new representation that will be more effectively …

Medical image registration is a preprocessing stage in a variety of applications such as
change detection and mosaicking. Matching is one of the essential steps in image …