In the recent years, multicue visual tracking frameworks have been preferred over single cue
visual tracking approaches to address critical environmental challenges. In literature, it has …

Moroccan Intelligent Transport System is the first Moroccan system that uses the latest
advances in computer vision, machine learning and deep learning techniques to manage …

Ship collision avoidance (SCA) is an important technique in the field of decision-making in
marine navigation. Although some promising solutions have been developed recently, there …

In recent years, deep learning based visual tracking methods have obtained great success
owing to the powerful feature representation ability of Convolutional Neural Networks …

We propose an anchor-free object detector that combines a weighted bi-directional Feature
Pyramid Network (BiFPN) and Soft Anchor Point Detector to address the object detection …

Capturing the inner structure change of the target is crucial for a siamese tracker confronted
with severe deformation or occlusion. The conventional siamese tracker utilizes a strict grid …

Automatic detection of specific anatomical points of interest (POIs) in head magnetic
resonance imaging (MRI) is a technical bottleneck in medical image registration and big …

In recent years, graph matching has made substantial progress in planar object tracking,
offering end-to-end learning capabilities. However, these methods often fall short in real …